diff --git a/.gitignore b/.gitignore
index 513b176b3aa355e8933e9dca2042fa7dd7c4d304..a8e88d4efc42c182d26bd34b1b180024851f2f0b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -40,3 +40,6 @@ vendor/data/processed/
 !vendor/data/modeling/model_peligro_pasillo__*.txt
 !vendor/data/modeling/team_features_latest.parquet
 !vendor/data/modeling/matchup_feat_cols.json
+
+# Artefactos de ejes bundleados (chicos, patrón CORE artifacts)
+!vendor/data/ejes/**/*.parquet
diff --git a/scripts/upload_ejes_artifacts.py b/scripts/upload_ejes_artifacts.py
new file mode 100644
index 0000000000000000000000000000000000000000..e3a1dd473993d0f46d70aa263bc8ea9870a0fbec
--- /dev/null
+++ b/scripts/upload_ejes_artifacts.py
@@ -0,0 +1,55 @@
+"""Sube los artefactos de EJES a Azure (report_artifacts root) para que el Space los consuma.
+
+Recorre data/analysis/next_goal/artifacts/ejes/<slug>/<season>/* del repo Racing y sube cada
+archivo a ``{azure_report_artifacts_root}/ejes/...``. Chicos (~11MB total).
+
+Uso: python scripts/upload_ejes_artifacts.py [--source ../data/analysis/next_goal/artifacts/ejes] [--overwrite]
+"""
+
+from __future__ import annotations
+
+import argparse
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))
+
+from racing_reports.config import DEFAULT_SETTINGS
+from racing_reports.datastore import DataStore, _azure_credential  # noqa: F401
+from azure.storage.filedatalake import DataLakeServiceClient
+
+DEFAULT_SOURCE = Path(__file__).resolve().parents[2] / "data" / "analysis" / "next_goal" / "artifacts" / "ejes"
+
+
+def main() -> None:
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--source", type=Path, default=DEFAULT_SOURCE)
+    ap.add_argument("--overwrite", action="store_true")
+    args = ap.parse_args()
+
+    src: Path = args.source
+    if not src.is_dir():
+        raise SystemExit(f"No existe {src}")
+    fs = DataStore()._filesystem_client()
+    root = DEFAULT_SETTINGS.azure_report_artifacts_root.strip("/")
+    files = [p for p in src.rglob("*") if p.is_file() and not p.name.startswith("_")]
+    print(f"{len(files)} archivos → {root}/ejes/")
+    subidos = saltados = 0
+    for p in files:
+        rel = p.relative_to(src).as_posix()
+        remote = f"{root}/ejes/{rel}"
+        fc = fs.get_file_client(remote)
+        if not args.overwrite:
+            try:
+                fc.get_file_properties()
+                saltados += 1
+                continue
+            except Exception:
+                pass
+        fc.upload_data(p.read_bytes(), overwrite=True)
+        subidos += 1
+    print(f"subidos: {subidos} | ya estaban: {saltados}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/racing_reports/api/routes_ejes.py b/src/racing_reports/api/routes_ejes.py
new file mode 100644
index 0000000000000000000000000000000000000000..0460264d05b14cbe16a29f8f665cf7fca178049f
--- /dev/null
+++ b/src/racing_reports/api/routes_ejes.py
@@ -0,0 +1,24 @@
+"""Endpoints de la sección "Ejes ataque/defensa" (scatter interactivo de equipos)."""
+
+from __future__ import annotations
+
+from fastapi import APIRouter, Depends, HTTPException
+
+from racing_reports import ejes_data
+from racing_reports.api.deps import require_auth
+
+router = APIRouter(prefix="/api/ejes")
+
+
+@router.get("/options", dependencies=[Depends(require_auth)])
+def options() -> dict:
+    """Ligas/temporadas con artefactos de ejes + labels de los ejes."""
+    return {"leagues": ejes_data.available(), "ejes": ejes_data.EJE_LABELS}
+
+
+@router.get("/profiles", dependencies=[Depends(require_auth)])
+def profiles(league: str, season: str) -> dict:
+    try:
+        return ejes_data.profiles_payload(league, season)
+    except FileNotFoundError as exc:
+        raise HTTPException(status_code=404, detail=f"Sin artefactos de ejes: {exc}")
diff --git a/src/racing_reports/api/routes_reports.py b/src/racing_reports/api/routes_reports.py
index efbd35f05a3faf25e7c87dd79232fae06110b91a..0e55479281bdb6fc7baffd13da7b6f4dea428f2c 100644
--- a/src/racing_reports/api/routes_reports.py
+++ b/src/racing_reports/api/routes_reports.py
@@ -14,7 +14,8 @@ from racing_reports.runner import ReportRunner
 
 router = APIRouter(prefix="/api/reports")
 
-SUPPORTED_REPORTS = {"pre_match", "block_zscore", "post_match", "triple_multitag", "triple_centros", "recuperaciones"}  # post_match requiere NN
+SUPPORTED_REPORTS = {"pre_match", "block_zscore", "post_match", "triple_multitag", "triple_centros",
+                     "recuperaciones", "ejes_pre", "ejes_post"}  # post_match requiere NN
 
 
 @router.get(
@@ -61,7 +62,7 @@ def run(report_type: str, payload: RunRequest) -> RunResponse:
     if not payload.team_a:
         raise HTTPException(status_code=400, detail="Elegí al menos un equipo (A).")
     # pre/post necesitan los dos equipos (local + visitante); los de equipo permiten 1.
-    if report_type in ("pre_match", "post_match") and not payload.team_b:
+    if report_type in ("pre_match", "post_match", "ejes_pre", "ejes_post") and not payload.team_b:
         raise HTTPException(status_code=400, detail="Para previo/post-partido elegí local y visitante.")
     if report_type == "post_match" and not payload.match_id and not payload.match_date:
         raise HTTPException(
diff --git a/src/racing_reports/ejes_data.py b/src/racing_reports/ejes_data.py
new file mode 100644
index 0000000000000000000000000000000000000000..2c6fc53f115998086f55e3ac353e2ae255f286fc
--- /dev/null
+++ b/src/racing_reports/ejes_data.py
@@ -0,0 +1,261 @@
+"""Acceso y lógica de los artefactos de EJES de ataque (por liga-temporada).
+
+Los artefactos (chicos, ~KB-MB) se generan offline con scripts/ejes_build_artifacts.py del
+repo Racing y viven en Azure bajo ``{report_artifacts_root}/ejes/<slug>/<season>/``:
+
+  team_profiles.parquet   equipo × eje × lado(gen/con): mix_z + real/esperado en eje-alto
+  match_team_ejes.parquet matchId × equipo: medias de eje + tiros real/esperado + goles + fecha
+  match_team_vars.parquet matchId × equipo: medias de variables (drill-down "qué se movió")
+  scales.json             σ partido-a-partido, medias/σ de liga, normas por equipo (gen y con)
+  predictor.json          por eje: coefs {gen, con, intercept} (gen propia + concesión rival)
+
+En dev, ``EJES_ARTIFACTS_DIR`` apunta al directorio local y evita Azure.
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import time
+from functools import lru_cache
+from pathlib import Path
+
+import pandas as pd
+
+from racing_reports.config import DEFAULT_SETTINGS
+from racing_reports.datastore import DataStore
+
+EJE_LABELS = {
+    "verticalidad": "Verticalidad",
+    "elaboracion": "Elaboración",
+    "individual": "Juego individual",
+    "rotura_lineas": "Rotura de líneas",
+    "amplitud_centro": "Amplitud / centros",
+    "profundidad_espalda": "Profundidad / espalda",
+    "robo_alto": "Robo alto",
+    "aereo_segunda": "Aéreo / 2ª jugada",
+}
+EJES = list(EJE_LABELS)
+
+_AVAIL_CACHE: dict[str, object] = {"ts": 0.0, "value": None}
+_AVAIL_TTL = 1800.0
+
+
+def _slug(league: str) -> str:
+    return "".join(c.lower() if c.isalnum() else "-" for c in league).strip("-")
+
+
+def _local_dir() -> Path | None:
+    raw = os.getenv("EJES_ARTIFACTS_DIR")
+    return Path(raw).expanduser() if raw else None
+
+
+def _bundled_dir() -> Path:
+    from racing_reports import vendor_env
+    return vendor_env.DATA_DIR / "ejes"
+
+
+def _path(league: str, season: str, fname: str) -> Path:
+    """Orden: dir local de dev (env) → bundle del repo (vendor/data/ejes) → Azure."""
+    rel = f"ejes/{_slug(league)}/{season}/{fname}"
+    local = _local_dir()
+    if local is not None:
+        p = local / _slug(league) / season / fname
+        if p.exists():
+            return p
+        raise FileNotFoundError(f"No existe el artefacto local: {p}")
+    bundled = _bundled_dir() / _slug(league) / season / fname
+    if bundled.exists():
+        return bundled
+    return DataStore().sync_artifact(rel)
+
+
+@lru_cache(maxsize=64)
+def _scales(league: str, season: str) -> dict:
+    return json.loads(_path(league, season, "scales.json").read_text(encoding="utf-8"))
+
+
+@lru_cache(maxsize=64)
+def _predictor(league: str, season: str) -> dict:
+    return json.loads(_path(league, season, "predictor.json").read_text(encoding="utf-8"))
+
+
+@lru_cache(maxsize=32)
+def _match_ejes(league: str, season: str) -> pd.DataFrame:
+    return pd.read_parquet(_path(league, season, "match_team_ejes.parquet"))
+
+
+@lru_cache(maxsize=32)
+def _match_vars(league: str, season: str) -> pd.DataFrame:
+    return pd.read_parquet(_path(league, season, "match_team_vars.parquet"))
+
+
+@lru_cache(maxsize=32)
+def _profiles(league: str, season: str) -> pd.DataFrame:
+    return pd.read_parquet(_path(league, season, "team_profiles.parquet"))
+
+
+def available() -> dict[str, list[str]]:
+    """{liga: [temporadas]} con artefactos de ejes. Local si EJES_ARTIFACTS_DIR; si no, Azure."""
+    def _scan(base: Path) -> dict[str, list[str]]:
+        idx = {}
+        idx_path = base / "_index.json"
+        if idx_path.exists():
+            idx = json.loads(idx_path.read_text(encoding="utf-8"))
+        out: dict[str, list[str]] = {}
+        for p in sorted(base.glob("*/*/team_profiles.parquet")):
+            slug = p.parent.parent.name
+            out.setdefault(idx.get(slug, slug), []).append(p.parent.name)
+        return out
+
+    local = _local_dir()
+    if local is not None:
+        return _scan(local)
+    bundled = _bundled_dir()
+    if bundled.is_dir():
+        out = _scan(bundled)
+        if out:
+            return out
+    now = time.time()
+    if _AVAIL_CACHE["value"] is not None and now - float(_AVAIL_CACHE["ts"]) < _AVAIL_TTL:
+        return _AVAIL_CACHE["value"]  # type: ignore[return-value]
+    root = f"{DEFAULT_SETTINGS.azure_report_artifacts_root}/ejes".strip("/")
+    found: dict[str, list[str]] = {}
+    try:
+        fs = DataStore()._filesystem_client()
+        for p in fs.get_paths(path=root, recursive=True):
+            name = getattr(p, "name", "") or ""
+            if not name.endswith("team_profiles.parquet"):
+                continue
+            parts = name[len(root):].strip("/").split("/")
+            if len(parts) >= 3:
+                found.setdefault(parts[0], []).append(parts[1])
+    except Exception:
+        pass
+    _AVAIL_CACHE["value"] = found
+    _AVAIL_CACHE["ts"] = now
+    return found
+
+
+def teams(league: str, season: str) -> list[str]:
+    return sorted(_profiles(league, season)["equipo"].unique())
+
+
+def _eje_z(scales: dict, eje_col: str, value: float) -> float:
+    mu = scales["eje_match_mean"].get(eje_col, 0.0)
+    sd = scales["eje_match_std"].get(eje_col, 1.0) or 1.0
+    return (value - mu) / sd
+
+
+def pre_prediction(league: str, season: str, home: str, away: str) -> dict:
+    """Para cada equipo: por eje, su norma y la predicción del partido (crece/decrece)."""
+    sc = _scales(league, season)
+    pred = _predictor(league, season)
+    out = []
+    for team, rival in [(home, away), (away, home)]:
+        gen = sc["team_eje_norm_gen"].get(team)
+        con = sc["team_eje_norm_con"].get(rival)
+        if gen is None or con is None:
+            raise ValueError(f"Sin perfil de ejes para {team if gen is None else rival} "
+                             f"en {league} {season}")
+        rows = []
+        for eje in EJES:
+            ec = f"eje_{eje}"
+            c = pred.get(eje)
+            norma = gen.get(ec, 0.0)
+            if c is None:
+                p = norma
+            else:
+                p = c["intercept"] + c["gen"] * norma + c["con"] * con.get(ec, 0.0)
+            sigma = sc["eje_sigma"].get(ec, 1.0) or 1.0
+            rows.append(dict(
+                eje=eje, label=EJE_LABELS[eje],
+                norma_z=round(_eje_z(sc, ec, norma), 2),
+                pred_z=round(_eje_z(sc, ec, p), 2),
+                delta_sigma=round((p - norma) / sigma, 2),
+            ))
+        out.append(dict(team=team, rival=rival, rows=rows))
+    return {"league": league, "season": season, "teams": out}
+
+
+def _resolve_match(mt: pd.DataFrame, home: str, away: str,
+                   match_id: str | None, match_date: str | None) -> pd.DataFrame:
+    pair = mt[((mt["team"] == home) & (mt["rival"] == away)) |
+              ((mt["team"] == away) & (mt["rival"] == home))]
+    if match_id:
+        got = pair[pair["matchId"] == str(match_id)]
+        if len(got):
+            return got
+    if match_date and "fecha" in pair.columns:
+        got = pair[pair["fecha"].astype(str).str.startswith(str(match_date)[:10])]
+        if len(got):
+            return got
+    if pair.empty:
+        raise ValueError(f"No hay partidos {home} vs {away} en los artefactos.")
+    if "fecha" in pair.columns:
+        last = pair["fecha"].astype(str).max()
+        return pair[pair["fecha"].astype(str) == last]
+    return pair[pair["matchId"] == pair["matchId"].iloc[-1]]
+
+
+def post_signature(league: str, season: str, home: str, away: str,
+                   match_id: str | None = None, match_date: str | None = None,
+                   top_movers: int = 8) -> dict:
+    """Firma de ataque del partido: ejes vs norma, ejecución esperado-vs-real, variables movidas."""
+    sc = _scales(league, season)
+    mt = _match_ejes(league, season)
+    mv = _match_vars(league, season)
+    rows_match = _resolve_match(mt, home, away, match_id, match_date)
+    mid = rows_match["matchId"].iloc[0]
+    fecha = str(rows_match["fecha"].iloc[0]) if "fecha" in rows_match.columns else ""
+
+    teams_out = []
+    for _, r in rows_match.iterrows():
+        team = r["team"]
+        norm = sc["team_eje_norm_gen"].get(team, {})
+        ejes_rows = []
+        for eje in EJES:
+            ec = f"eje_{eje}"
+            hoy, norma = float(r[ec]), float(norm.get(ec, 0.0))
+            sigma = sc["eje_sigma"].get(ec, 1.0) or 1.0
+            ejes_rows.append(dict(
+                eje=eje, label=EJE_LABELS[eje],
+                partido_z=round(_eje_z(sc, ec, hoy), 2),
+                norma_z=round(_eje_z(sc, ec, norma), 2),
+                dev_sigma=round((hoy - norma) / sigma, 2),
+            ))
+        movers = []
+        vrow = mv[(mv["matchId"] == mid) & (mv["team"] == team)]
+        if len(vrow):
+            vrow = vrow.iloc[0]
+            vnorm = sc["team_var_norm"].get(team, {})
+            for var, sigma in sc["var_sigma"].items():
+                if var not in vrow or not sigma:
+                    continue
+                hoy_v = float(vrow[var])
+                norma_v = float(vnorm.get(var, 0.0))
+                movers.append(dict(variable=var, hoy=round(hoy_v, 2), norma=round(norma_v, 2),
+                                   dev_sigma=round((hoy_v - norma_v) / sigma, 2)))
+            movers.sort(key=lambda d: -abs(d["dev_sigma"]))
+            movers = movers[:top_movers]
+        teams_out.append(dict(
+            team=team, rival=r["rival"], n_seq=int(r["n_seq"]),
+            tiros_real=int(r["tiros_real"]), tiros_esperados=round(float(r["tiros_esp"]), 1),
+            goles=int(r["goles"]), ejes=ejes_rows, movers=movers,
+        ))
+    return {"league": league, "season": season, "match_id": mid, "fecha": fecha,
+            "teams": teams_out}
+
+
+def profiles_payload(league: str, season: str) -> dict:
+    """Payload para el scatter interactivo: por equipo × lado × eje: mix_z y dif (pp vs liga)."""
+    df = _profiles(league, season)
+    out: dict[str, dict] = {}
+    for _, r in df.iterrows():
+        eq = out.setdefault(r["equipo"], {"gen": {}, "con": {}})
+        dif = (r["real"] - r["liga_real"]) if pd.notna(r["real"]) else None
+        eq[r["lado"]][r["eje"]] = {
+            "z": float(r["mix_z"]),
+            "dif": round(float(dif), 1) if dif is not None else None,
+        }
+    return {"league": league, "season": season, "ejes": EJE_LABELS, "teams": out}
diff --git a/src/racing_reports/reports/ejes.py b/src/racing_reports/reports/ejes.py
new file mode 100644
index 0000000000000000000000000000000000000000..acaeee064f9024d668f2aaa3b4a43f288bba73c8
--- /dev/null
+++ b/src/racing_reports/reports/ejes.py
@@ -0,0 +1,201 @@
+"""Reportes de EJES de ataque: previo (qué ejes crecen/decrecen) y post (firma del partido).
+
+Ambos consumen SOLO los artefactos chicos de ejes (ejes_data) — no bajan el preprocessed.
+Devuelven ReportBundle con figura matplotlib + HTML autocontenido (estilo oscuro de la app).
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import matplotlib
+matplotlib.use("Agg")
+import matplotlib.pyplot as plt
+
+from racing_reports import ejes_data
+from racing_reports.reports.bundle import FigureArtifact, ReportBundle
+from racing_reports.reports.common import png_to_data_uri, save_figure
+
+BG, FG, MUT = "#10141a", "#e5e7eb", "#9ca3af"
+UP, DOWN, DOT = "#34d399", "#f87171", "#facc15"
+
+
+def _style_axes(ax):
+    ax.set_facecolor(BG)
+    for s in ax.spines.values():
+        s.set_color("#374151")
+    ax.tick_params(colors=MUT, labelsize=9)
+    ax.axvline(0, color="#4b5563", lw=1, ls="--")
+
+
+def _html_shell(title: str, subtitle: str, body: str) -> str:
+    return f"""<!doctype html><html lang="es"><head><meta charset="utf-8">
+<title>{title}</title><style>
+body{{background:{BG};color:{FG};font-family:-apple-system,'Segoe UI',Roboto,sans-serif;
+     margin:0;padding:24px;max-width:1100px;margin:auto}}
+h1{{font-size:22px;color:#4ade80;margin:0 0 4px}} h2{{font-size:16px;margin:24px 0 8px;color:#a7f3d0}}
+p.sub{{color:{MUT};font-size:13px;margin:0 0 18px}}
+table{{border-collapse:collapse;width:100%;font-size:12.5px;margin:8px 0 18px}}
+th,td{{padding:5px 9px;border-bottom:1px solid #1f2937;text-align:left}}
+th{{color:{MUT};text-transform:uppercase;font-size:10px;letter-spacing:.05em}}
+td.pos{{color:{UP}}} td.neg{{color:{DOWN}}}
+img{{max-width:100%;border-radius:12px;margin:6px 0 14px}}
+.note{{color:{MUT};font-size:11.5px}}
+.grid{{display:grid;grid-template-columns:1fr 1fr;gap:24px}}
+@media(max-width:800px){{.grid{{grid-template-columns:1fr}}}}
+</style></head><body><h1>{title}</h1><p class="sub">{subtitle}</p>{body}</body></html>"""
+
+
+def _cls(v: float) -> str:
+    return "pos" if v > 0 else ("neg" if v < 0 else "")
+
+
+# ────────────────────────── PREVIO ──────────────────────────
+
+def _fig_pre(pred: dict):
+    fig, axes = plt.subplots(1, 2, figsize=(12.5, 5.2), sharex=True)
+    fig.patch.set_facecolor(BG)
+    for ax, tinfo in zip(axes, pred["teams"]):
+        _style_axes(ax)
+        rows = tinfo["rows"]
+        ys = range(len(rows))
+        for y, r in zip(ys, rows):
+            a, b = r["norma_z"], r["pred_z"]
+            color = UP if b >= a else DOWN
+            ax.plot([a, b], [y, y], color=color, lw=3, solid_capstyle="round", zorder=2)
+            ax.scatter([a], [y], color=DOT, s=42, zorder=3)
+            ax.scatter([b], [y], color=color, s=64, zorder=3,
+                       marker=">" if b >= a else "<")
+        ax.set_yticks(list(ys))
+        ax.set_yticklabels([r["label"] for r in rows], color=FG, fontsize=10)
+        ax.invert_yaxis()
+        ax.set_title(f"{tinfo['team']}  (vs {tinfo['rival']})", color=FG, fontsize=12)
+        ax.set_xlabel("z vs liga (medias de partido)", color=MUT, fontsize=9)
+    fig.suptitle("Ejes de ataque esperados — punto amarillo = su norma, flecha = predicción del partido",
+                 color=FG, fontsize=11, y=1.0)
+    fig.tight_layout()
+    return fig
+
+
+def generate_pre(out_path: Path, league: str, season: str,
+                 home_name: str, away_name: str) -> ReportBundle:
+    pred = ejes_data.pre_prediction(league, season, home_name, away_name)
+    out_dir = out_path.parent
+    fig = _fig_pre(pred)
+    png, svg = save_figure(fig, out_dir, "ejes_pre_prediccion")
+    plt.close(fig)
+
+    tables = []
+    for tinfo in pred["teams"]:
+        rows = "".join(
+            f"<tr><td>{r['label']}</td><td>{r['norma_z']:+.2f}</td>"
+            f"<td>{r['pred_z']:+.2f}</td>"
+            f"<td class='{_cls(r['delta_sigma'])}'>{r['delta_sigma']:+.2f}σ</td></tr>"
+            for r in sorted(tinfo["rows"], key=lambda x: -abs(x["delta_sigma"]))
+        )
+        tables.append(
+            f"<div><h2>{tinfo['team']}</h2>"
+            f"<table><tr><th>eje</th><th>su norma (z)</th><th>predicción (z)</th>"
+            f"<th>Δ esperado</th></tr>{rows}</table></div>"
+        )
+    body = (
+        f"<img src='{png_to_data_uri(png)}' alt='ejes previstos'>"
+        f"<div class='grid'>{''.join(tables)}</div>"
+        "<p class='note'>Predicción = generación propia × concesión del rival (regresión por eje, "
+        "leave-one-match-out). Δ en σ partido-a-partido: ±1σ = variación normal entre partidos. "
+        "El rival moldea sobre todo la elaboración y la rotura de líneas; robo alto y profundidad "
+        "son más oportunistas (menos predecibles).</p>"
+    )
+    html = _html_shell(
+        f"Ejes de ataque — previo: {home_name} vs {away_name}",
+        f"{league} {season} · qué dimensiones de ataque se esperan crecer/decrecer vs la norma de cada equipo",
+        body,
+    )
+    out_path.write_text(html, encoding="utf-8")
+    return ReportBundle(
+        report_type="ejes_pre", html_path=out_path,
+        figures=[FigureArtifact(name="ejes_pre_prediccion", title="Ejes esperados del partido",
+                                section="Ejes de ataque", png_path=png, svg_path=svg)],
+        meta={"league": league, "season": season},
+    )
+
+
+# ────────────────────────── POST ──────────────────────────
+
+def _fig_post(sig: dict):
+    fig, axes = plt.subplots(1, 2, figsize=(12.5, 5.2), sharex=True)
+    fig.patch.set_facecolor(BG)
+    for ax, tinfo in zip(axes, sig["teams"]):
+        _style_axes(ax)
+        rows = tinfo["ejes"]
+        ys = range(len(rows))
+        vals = [r["dev_sigma"] for r in rows]
+        ax.barh(list(ys), vals, color=[UP if v >= 0 else DOWN for v in vals], height=0.55)
+        ax.set_yticks(list(ys))
+        ax.set_yticklabels([r["label"] for r in rows], color=FG, fontsize=10)
+        ax.invert_yaxis()
+        ax.set_title(f"{tinfo['team']} — {tinfo['tiros_real']} tiros "
+                     f"(esp. {tinfo['tiros_esperados']}) · {tinfo['goles']} gol(es)",
+                     color=FG, fontsize=11)
+        ax.set_xlabel("desvío vs su norma (σ partido-a-partido)", color=MUT, fontsize=9)
+    fig.suptitle("Firma de ataque del partido — qué usó de más (verde) y de menos (rojo) cada equipo",
+                 color=FG, fontsize=11, y=1.0)
+    fig.tight_layout()
+    return fig
+
+
+def generate_post(out_path: Path, league: str, season: str, home_name: str, away_name: str,
+                  match_id: str | None = None, match_date: str | None = None) -> ReportBundle:
+    sig = ejes_data.post_signature(league, season, home_name, away_name,
+                                   match_id=match_id, match_date=match_date)
+    out_dir = out_path.parent
+    fig = _fig_post(sig)
+    png, svg = save_figure(fig, out_dir, "ejes_post_firma")
+    plt.close(fig)
+
+    blocks = []
+    for tinfo in sig["teams"]:
+        dif = tinfo["tiros_real"] - tinfo["tiros_esperados"]
+        ejec = (f"<p>Ejecución del día: <b>{tinfo['tiros_real']} tiros</b> vs "
+                f"{tinfo['tiros_esperados']} esperados por el modelo según sus jugadas "
+                f"(<span style='color:{UP if dif >= 0 else DOWN}'>{dif:+.1f}</span>) · "
+                f"{tinfo['goles']} gol(es) · {tinfo['n_seq']} secuencias.</p>")
+        ejes_rows = "".join(
+            f"<tr><td>{r['label']}</td><td>{r['partido_z']:+.2f}</td>"
+            f"<td>{r['norma_z']:+.2f}</td>"
+            f"<td class='{_cls(r['dev_sigma'])}'>{r['dev_sigma']:+.2f}σ</td></tr>"
+            for r in sorted(tinfo["ejes"], key=lambda x: -abs(x["dev_sigma"]))
+        )
+        movers_rows = "".join(
+            f"<tr><td><code>{m['variable']}</code></td><td>{m['hoy']}</td>"
+            f"<td>{m['norma']}</td>"
+            f"<td class='{_cls(m['dev_sigma'])}'>{m['dev_sigma']:+.1f}σ</td></tr>"
+            for m in tinfo["movers"]
+        )
+        blocks.append(
+            f"<div><h2>{tinfo['team']}</h2>{ejec}"
+            f"<table><tr><th>eje</th><th>partido (z)</th><th>su norma (z)</th><th>desvío</th></tr>"
+            f"{ejes_rows}</table>"
+            f"<h2 style='font-size:13px'>Variables que más se movieron</h2>"
+            f"<table><tr><th>variable</th><th>hoy</th><th>norma</th><th>desvío</th></tr>"
+            f"{movers_rows}</table></div>"
+        )
+    body = (
+        f"<img src='{png_to_data_uri(png)}' alt='firma del partido'>"
+        f"<div class='grid'>{''.join(blocks)}</div>"
+        "<p class='note'>Desvíos en σ partido-a-partido (±1σ = partido normal, ±2σ = inusual). "
+        "«Esperados» = suma de P(tiro) del modelo neutral sobre las jugadas reales del equipo: "
+        "positivo = sobre-ejecutó sus jugadas, negativo = las desperdició.</p>"
+    )
+    html = _html_shell(
+        f"Firma de ataque — {home_name} vs {away_name}" + (f" ({sig['fecha'][:10]})" if sig["fecha"] else ""),
+        f"{league} {season} · qué caracterizó el ataque de cada equipo vs su propia norma",
+        body,
+    )
+    out_path.write_text(html, encoding="utf-8")
+    return ReportBundle(
+        report_type="ejes_post", html_path=out_path,
+        figures=[FigureArtifact(name="ejes_post_firma", title="Firma de ataque del partido",
+                                section="Ejes de ataque", png_path=png, svg_path=svg)],
+        meta={"league": league, "season": season, "match_id": sig["match_id"], "fecha": sig["fecha"]},
+    )
diff --git a/src/racing_reports/runner.py b/src/racing_reports/runner.py
index a68a3245778b8a0229141266256d7337ab0c1ddb..192be89c142e72c4737d74e070d0004b3f70702a 100644
--- a/src/racing_reports/runner.py
+++ b/src/racing_reports/runner.py
@@ -13,11 +13,12 @@ from racing_reports.config import DEFAULT_SETTINGS, Settings
 from racing_reports.datastore import DataStore
 from racing_reports.match_index import MatchIndex
 from racing_reports.models import ReportRequest, ReportResult
-from racing_reports.reports import block_zscore, post_match, pre_match, recuperaciones, triple_multitag
+from racing_reports.reports import block_zscore, ejes, post_match, pre_match, recuperaciones, triple_multitag
 from racing_reports.reports.bundle import ReportBundle
 from racing_reports.utils import git_commit, slugify, utc_now_iso, write_json
 
-VALID_REPORTS = {"pre_match", "post_match", "block_zscore", "triple_multitag", "triple_centros", "recuperaciones"}
+VALID_REPORTS = {"pre_match", "post_match", "block_zscore", "triple_multitag", "triple_centros",
+                 "recuperaciones", "ejes_pre", "ejes_post"}
 
 
 def _norm(text: str) -> str:
@@ -73,7 +74,8 @@ class ReportRunner:
         # post_match siempre corre el pre_match del mismo partido antes.
         if "post_match" in seen and "pre_match" not in seen:
             seen = ["pre_match"] + seen
-        order = {"pre_match": 0, "block_zscore": 1, "triple_multitag": 2, "triple_centros": 3, "recuperaciones": 4, "post_match": 5}
+        order = {"pre_match": 0, "block_zscore": 1, "triple_multitag": 2, "triple_centros": 3,
+                 "recuperaciones": 4, "post_match": 5, "ejes_pre": 6, "ejes_post": 7}
         return sorted(dict.fromkeys(seen), key=lambda r: order[r])
 
     def run(self, request: ReportRequest) -> ReportResult:
@@ -98,10 +100,10 @@ class ReportRunner:
             home_name = match["home_team"]
             away_name = match["away_team"]
             match_date = match["date"]
-        elif "post_match" in report_types:
+        elif {"post_match", "ejes_post"} & set(report_types):
             # Partido reciente sin matchId en el dataset: usamos lo que mandó el front
             # (local/visitante/fecha). El matchId real se resuelve más abajo desde el
-            # preprocessed, una vez descargado.
+            # preprocessed (post_match) o desde los artefactos de ejes (ejes_post).
             home_name = request.home_team
             away_name = request.away_team
             match_date = request.match_date or None
@@ -197,6 +199,24 @@ class ReportRunner:
                     venue_a=flt.get("venue_a", flt.get("venue", "both")),
                     venue_b=flt.get("venue_b", flt.get("venue", "both")),
                 )
+            elif report_type == "ejes_pre":
+                result = ejes.generate_pre(
+                    out_path=out_path,
+                    league=request.league,
+                    season=str(request.season),
+                    home_name=home_name,
+                    away_name=away_name,
+                )
+            elif report_type == "ejes_post":
+                result = ejes.generate_post(
+                    out_path=out_path,
+                    league=request.league,
+                    season=str(request.season),
+                    home_name=home_name,
+                    away_name=away_name,
+                    match_id=request.match_id or None,
+                    match_date=match_date,
+                )
             elif report_type == "post_match":
                 # Si el partido no traía matchId (reciente, no está en el dataset),
                 # lo resolvemos del preprocessed ya descargado por local/visitante/fecha.
diff --git a/src/racing_reports/web/app.py b/src/racing_reports/web/app.py
index b1affdb3f1e9dde7c2113c49d00cfded5f934c5a..eee65d6bd3edb3d8d65daaf1b66bd45c974dfaa6 100644
--- a/src/racing_reports/web/app.py
+++ b/src/racing_reports/web/app.py
@@ -17,6 +17,7 @@ from racing_reports.api.routes_jobs import router as api_jobs_router
 from racing_reports.api.routes_meta import router as api_meta_router
 from racing_reports.api.routes_reports import router as api_reports_router
 from racing_reports.api.routes_team_vars import router as api_team_vars_router
+from racing_reports.api.routes_ejes import router as api_ejes_router
 from racing_reports.config import DEFAULT_SETTINGS
 from racing_reports.datastore import DataStore
 from racing_reports.match_index import MatchIndex
@@ -41,6 +42,7 @@ app.include_router(api_meta_router)
 app.include_router(api_reports_router)
 app.include_router(api_jobs_router)
 app.include_router(api_team_vars_router)
+app.include_router(api_ejes_router)
 
 # Estado en memoria (single container en HF Space). Re-export para retrocompat.
 Job = jobs_mod.Job
diff --git a/src/racing_reports/web/templates/home.html b/src/racing_reports/web/templates/home.html
index 1aca55acae5b968723706a27f97326edfb0faf13..75d52d29544cd1df9c11980c2823d4606d8b8f4d 100644
--- a/src/racing_reports/web/templates/home.html
+++ b/src/racing_reports/web/templates/home.html
@@ -199,6 +199,19 @@
             </div>
           </template>
         </article>
+
+        <article class="bg-ink-700 border border-ink-600 rounded-2xl p-5">
+          <h3 class="font-semibold">Ejes de ataque — previo</h3>
+          <p class="text-xs text-gray-400 mt-1 mb-3">Qué dimensiones de ataque (verticalidad, elaboración, 1v1, rotura de líneas, profundidad…) se espera que crezcan o decrezcan para cada equipo vs su norma, según la generación propia y la concesión del rival.</p>
+          <button @click="runFull('ejes_pre')" class="bg-racing-500 hover:bg-racing-600 text-racing-900 font-semibold px-4 py-2 rounded-lg text-sm">Generar ejes previo</button>
+        </article>
+
+        <article class="bg-ink-700 border border-ink-600 rounded-2xl p-5">
+          <h3 class="font-semibold">Ejes de ataque — post-partido (firma)</h3>
+          <p class="text-xs text-gray-400 mt-1 mb-3">Del último cruce jugado entre <strong x-text="teamA||'A'"></strong> y <strong x-text="teamB||'B'"></strong>: qué ejes usó de más/menos cada equipo vs su norma, ejecución del día (tiros reales vs esperados por el modelo) y las variables que más se movieron.</p>
+          <button @click="ejRunPost()" class="bg-racing-500 hover:bg-racing-600 text-racing-900 font-semibold px-4 py-2 rounded-lg text-sm">Generar firma del partido</button>
+          <p class="text-xs mt-2" :class="ejPostMsgError ? 'text-red-300' : 'text-gray-400'" x-text="ejPostMsg"></p>
+        </article>
       </section>
     </div>
   </template>
@@ -439,6 +452,55 @@
           </table>
         </div>
       </section>
+
+      <!-- ---- Ejes ataque/defensa (scatter interactivo) ---- -->
+      <section class="bg-ink-700 border border-ink-600 rounded-2xl p-5 mt-2">
+        <h2 class="text-lg font-semibold text-racing-500 mb-1">5. Ejes ataque/defensa</h2>
+        <p class="text-xs text-gray-400 mb-3">Los 8 ejes de ataque por equipo: qué GENERA cada uno y qué CONCEDE, en identidad (z vs su liga) o rendimiento (pp de tiro vs liga en jugadas de ese eje). Hover = equipo y valores.</p>
+        <div class="flex flex-wrap items-end gap-3 mb-3">
+          <div>
+            <label class="block text-xs text-gray-400 mb-1">Liga</label>
+            <select x-model="ejLeague" @change="ejOnLeague()" class="bg-ink-800 border border-ink-600 rounded-lg px-3 py-2 text-sm">
+              <template x-for="l in ejLeagueList" :key="l"><option :value="l" x-text="l"></option></template>
+            </select>
+          </div>
+          <div>
+            <label class="block text-xs text-gray-400 mb-1">Temporada</label>
+            <select x-model="ejSeason" @change="ejLoad()" class="bg-ink-800 border border-ink-600 rounded-lg px-3 py-2 text-sm">
+              <template x-for="s in ejSeasons" :key="s"><option :value="s" x-text="s"></option></template>
+            </select>
+          </div>
+          <div>
+            <label class="block text-xs text-gray-400 mb-1">Eje X</label>
+            <select x-model="ejX" @change="ejDraw()" class="bg-ink-800 border border-ink-600 rounded-lg px-3 py-2 text-sm">
+              <template x-for="(lbl,k) in ejLabels" :key="k"><option :value="k" x-text="lbl"></option></template>
+            </select>
+          </div>
+          <div>
+            <label class="block text-xs text-gray-400 mb-1">Eje Y</label>
+            <select x-model="ejY" @change="ejDraw()" class="bg-ink-800 border border-ink-600 rounded-lg px-3 py-2 text-sm">
+              <template x-for="(lbl,k) in ejLabels" :key="k"><option :value="k" x-text="lbl"></option></template>
+            </select>
+          </div>
+          <div>
+            <label class="block text-xs text-gray-400 mb-1">Lado</label>
+            <select x-model="ejLado" @change="ejDraw()" class="bg-ink-800 border border-ink-600 rounded-lg px-3 py-2 text-sm">
+              <option value="gen">Generación</option><option value="con">Concesión</option>
+            </select>
+          </div>
+          <div>
+            <label class="block text-xs text-gray-400 mb-1">Métrica</label>
+            <select x-model="ejMet" @change="ejDraw()" class="bg-ink-800 border border-ink-600 rounded-lg px-3 py-2 text-sm">
+              <option value="z">Identidad (z)</option><option value="dif">Rendimiento (pp vs liga)</option>
+            </select>
+          </div>
+        </div>
+        <p class="text-xs text-red-300 mb-2" x-show="ejError" x-text="ejError"></p>
+        <div id="ejwrap" style="position:relative">
+          <svg id="ejsvg" width="100%" height="440" viewBox="0 0 980 440"></svg>
+          <div id="ejtip" style="position:absolute;display:none;pointer-events:none;background:#1f2937;border:1px solid #4b5563;border-radius:8px;padding:6px 10px;font-size:12px;max-width:230px;z-index:10"></div>
+        </div>
+      </section>
     </div>
   </template>
 
@@ -549,6 +611,10 @@
       tvpLeague:'', tvpSeason:'', tvpSeasons:[], tvpTeam:'', tvpTeams:[], tvpScope:'liga',
       tvpVars:[''], tvpResult:null, tvpLoading:false, tvpError:'', tvpZmax:3, tvpShowMean:false, tvpShowBest:false,
       tvsScope:'all', tvsResult:null, tvsLoading:false, tvsError:'',
+      // Ejes ataque/defensa (scatter)
+      ejLeagues:{}, ejLeagueList:[], ejLeague:'', ejSeason:'', ejSeasons:[], ejLabels:{},
+      ejX:'elaboracion', ejY:'verticalidad', ejLado:'gen', ejMet:'z', ejData:null, ejError:'', ejLoaded:false,
+      ejPostMsg:'', ejPostMsgError:false,
 
       async init() { await this.loadLeagues(); await this.loadSeasons(false); await this.loadTeams(); this._refreshHealth(); },
       async _getJSON(u){ const r=await fetch(u); if(!r.ok) throw new Error((await r.json().catch(()=>({detail:r.statusText}))).detail); return r.json(); },
@@ -578,6 +644,7 @@
           this.tvpOnLeague();
           this.tvLoaded = true;
         } catch(e){ this.tvError = 'No se pudieron cargar las opciones: '+e; }
+        this.ejInit();
       },
       tvpPct(z){ const m=this.tvpZmax||3; const c=Math.max(-m,Math.min(m,z)); return 50 + c/m*50; },
       tvpAddVar(){ this.tvpVars.push(''); },
@@ -711,7 +778,7 @@
       async onSeasonChange(){ await this.loadTeams(); },
 
       async _refreshHealth(){ try{ const r=await fetch('/api/health'); if(r.ok){ this.preprocessedCached=!!(await r.json()).preprocessed_cached; } }catch(_e){} },
-      reportTitle(id){ return ({pre_match:'Reporte previo (head-to-head)',block_zscore:'Bloques (z-score)',triple_multitag:'Triple Análisis (Multi-Tag)',triple_centros:'Triple Análisis (Centros)',recuperaciones:'Recuperaciones',post_match:'Reporte post-partido'})[id]||id; },
+      reportTitle(id){ return ({pre_match:'Reporte previo (head-to-head)',block_zscore:'Bloques (z-score)',triple_multitag:'Triple Análisis (Multi-Tag)',triple_centros:'Triple Análisis (Centros)',recuperaciones:'Recuperaciones',post_match:'Reporte post-partido',ejes_pre:'Ejes de ataque — previo',ejes_post:'Ejes de ataque — firma del partido'})[id]||id; },
       visibleFigures(rt,figs){ return this.onlyFigure ? figs.filter(f=>f.name===this.onlyFigure) : figs; },
       async toggleCatalog(id){
         const r=this.reports[id]; r.catalogOpen=!r.catalogOpen;
@@ -720,7 +787,7 @@
       async runFull(id){ await this.runOne(id, null); },
       async runOne(id, figName){
         if (!this.teamA){ alert('Elegí el Equipo A.'); return; }
-        const isMatch = (id==='pre_match');
+        const isMatch = (id==='pre_match' || id==='ejes_pre');
         if (isMatch && !this.teamB){ alert('Elegí local y visitante.'); return; }
         const teamB = isMatch ? this.teamB : (this.compareTwo ? this.teamB : '');
         if (teamB && teamB===this.teamA){ alert('A y B deben ser distintos.'); return; }
@@ -751,6 +818,79 @@
       },
       _pmErr(m){ this.postMatchMsg=m; this.postMatchMsgError=true; },
 
+      async ejRunPost(){
+        this.ejPostMsg=''; this.ejPostMsgError=false;
+        if (!this.teamA||!this.teamB){ this.ejPostMsg='Elegí los dos equipos.'; this.ejPostMsgError=true; return; }
+        if (this.teamA===this.teamB){ this.ejPostMsg='A y B deben ser distintos.'; this.ejPostMsgError=true; return; }
+        this.ejPostMsg='Usa el último cruce jugado entre ambos (según artefactos de ejes).';
+        await this._post('ejes_post', { league:this.league, season:this.season, team_a:this.teamA, team_b:this.teamB, filters:{}, only:[] }, null, `Ejes — firma: ${this.teamA} vs ${this.teamB}`);
+      },
+      async ejInit(){
+        if (this.ejLoaded) return;
+        try {
+          const o = await this._getJSON('/api/ejes/options');
+          this.ejLeagues = o.leagues||{}; this.ejLabels = o.ejes||{};
+          this.ejLeagueList = Object.keys(this.ejLeagues).sort();
+          if (!this.ejLeagueList.length){ this.ejError='No hay artefactos de ejes disponibles.'; return; }
+          this.ejLeague = this.ejLeagueList.find(l=>l.toLowerCase().includes('segunda')) || this.ejLeagueList[0];
+          this.ejLoaded = true;
+          this.ejOnLeague();
+        } catch(e){ this.ejError='Error cargando ejes: '+e; }
+      },
+      ejOnLeague(){
+        this.ejSeasons = (this.ejLeagues[this.ejLeague]||[]).slice().sort().reverse();
+        this.ejSeason = this.ejSeasons[0]||'';
+        this.ejLoad();
+      },
+      async ejLoad(){
+        this.ejError=''; this.ejData=null;
+        if (!this.ejLeague||!this.ejSeason) return;
+        try {
+          this.ejData = await this._getJSON(`/api/ejes/profiles?league=${encodeURIComponent(this.ejLeague)}&season=${encodeURIComponent(this.ejSeason)}`);
+          await this.$nextTick(); this.ejDraw();
+        } catch(e){ this.ejError='Error: '+e; }
+      },
+      ejDraw(){
+        const svg=document.getElementById('ejsvg'), tip=document.getElementById('ejtip'), wrap=document.getElementById('ejwrap');
+        if (!svg||!this.ejData) return;
+        svg.innerHTML='';
+        const NS='http://www.w3.org/2000/svg', W=980, H=440, M={l:56,r:20,t:14,b:46};
+        const met=this.ejMet, lado=this.ejLado, ex=this.ejX, ey=this.ejY, labels=this.ejLabels;
+        const pts=Object.entries(this.ejData.teams).map(([team,d])=>{
+          const a=(d[lado]||{})[ex]||{}, b=(d[lado]||{})[ey]||{};
+          return {team, x:a[met], y:b[met]};
+        }).filter(p=>p.x!=null&&p.y!=null);
+        if (!pts.length) return;
+        const ext=Math.max(...pts.map(p=>Math.max(Math.abs(p.x),Math.abs(p.y))))*1.15||1;
+        const X=v=>M.l+((v+ext)/(2*ext))*(W-M.l-M.r), Y=v=>H-M.b-((v+ext)/(2*ext))*(H-M.t-M.b);
+        const el=(tag,attrs)=>{const e=document.createElementNS(NS,tag);for(const k in attrs)e.setAttribute(k,attrs[k]);svg.appendChild(e);return e;};
+        el('line',{x1:M.l,y1:Y(0),x2:W-M.r,y2:Y(0),stroke:'#4b5563','stroke-dasharray':'4 4'});
+        el('line',{x1:X(0),y1:M.t,x2:X(0),y2:H-M.b,stroke:'#4b5563','stroke-dasharray':'4 4'});
+        const unit = met==='z'?'':'pp';
+        const tx1=el('text',{x:W-M.r,y:Y(0)-8,'font-size':'12','text-anchor':'end',fill:'#9ca3af'}); tx1.textContent=(labels[ex]||ex)+' alto →';
+        const ty1=el('text',{x:X(0)+6,y:M.t+12,'font-size':'12',fill:'#9ca3af'}); ty1.textContent='↑ '+(labels[ey]||ey)+' alto';
+        [-1,-0.5,0.5,1].forEach(f=>{
+          const v=+(f*ext).toFixed(1);
+          const a=el('text',{x:X(v),y:H-M.b+16,'font-size':'11','text-anchor':'middle',fill:'#6b7280'}); a.textContent=v+unit;
+          const b=el('text',{x:M.l-8,y:Y(v)+4,'font-size':'11','text-anchor':'end',fill:'#6b7280'}); b.textContent=v+unit;
+        });
+        pts.forEach(pt=>{
+          const racing = pt.team==='Racing de Santander';
+          const c=el('circle',{cx:X(pt.x),cy:Y(pt.y),r:racing?8:6,fill:racing?'#f59e0b':'#9ca3af','fill-opacity':racing?1:0.7,stroke:'#111827','stroke-width':1});
+          c.style.cursor='pointer';
+          if (racing){ const l=el('text',{x:X(pt.x)+11,y:Y(pt.y)+4,'font-size':'12','font-weight':'600',fill:'#e5e7eb'}); l.textContent='Racing'; }
+          c.addEventListener('mousemove',ev=>{
+            const r=wrap.getBoundingClientRect();
+            tip.style.display='block';
+            tip.style.left=Math.min(ev.clientX-r.left+14,r.width-240)+'px';
+            tip.style.top=(ev.clientY-r.top+10)+'px';
+            const fx=met==='z'?pt.x.toFixed(2):pt.x.toFixed(1)+'pp', fy=met==='z'?pt.y.toFixed(2):pt.y.toFixed(1)+'pp';
+            tip.innerHTML='<b>'+pt.team+'</b><br>'+(labels[ex]||ex)+': '+fx+'<br>'+(labels[ey]||ey)+': '+fy;
+            c.setAttribute('r',racing?10:8);
+          });
+          c.addEventListener('mouseleave',()=>{ tip.style.display='none'; c.setAttribute('r',racing?8:6); });
+        });
+      },
       async _post(id, body, figName, title){
         let resp;
         try { resp=await fetch(`/api/reports/${id}/run`,{method:'POST',headers:{'content-type':'application/json'},body:JSON.stringify(body)}); }
diff --git a/vendor/data/ejes/_index.json b/vendor/data/ejes/_index.json
new file mode 100644
index 0000000000000000000000000000000000000000..83a22d6bf6b7b94c0ef3cc6ddaf6c888ef63fac9
--- /dev/null
+++ b/vendor/data/ejes/_index.json
@@ -0,0 +1,30 @@
+{
+ "english-football-league---championship": "English Football League - Championship",
+ "uefa-conference-league": "UEFA Conference League",
+ "danish-superligaen": "Danish Superligaen",
+ "english-premier-league": "English Premier League",
+ "spanish-segunda-division": "Spanish Segunda Division",
+ "french-ligue-1": "French Ligue 1",
+ "belgian-challenger-pro-league": "Belgian Challenger Pro League",
+ "serbian-super-liga": "Serbian Super Liga",
+ "chile-primera": "Chile Primera",
+ "spanish-la-liga": "Spanish La Liga",
+ "norwegian-eliteserien": "Norwegian Eliteserien",
+ "polish-ekstraklasa": "Polish Ekstraklasa",
+ "swedish-allsvenskan": "Swedish Allsvenskan",
+ "italian-serie-a": "Italian Serie A",
+ "german-bundesliga": "German Bundesliga",
+ "liga-profesional-argentina": "Liga Profesional Argentina",
+ "dutch-eredivisie": "Dutch Eredivisie",
+ "croatia-prva-hnl": "Croatia Prva HNL",
+ "uefa-champions-league": "UEFA Champions League",
+ "french-ligue-2": "French Ligue 2",
+ "uefa-europa-league": "UEFA Europa League",
+ "ecuador-liga-pro": "Ecuador Liga Pro",
+ "brack-super-league": "Brack Super League",
+ "portuguese-primeira-liga": "Portuguese Primeira Liga",
+ "dutch-eerste-divisie": "Dutch Eerste Divisie",
+ "italian-serie-b": "Italian Serie B",
+ "german-bundesliga-zwei": "German Bundesliga Zwei",
+ "austrian-bundesliga": "Austrian Bundesliga"
+}
\ No newline at end of file
diff --git a/vendor/data/ejes/austrian-bundesliga/25-26/ejes_definition.json b/vendor/data/ejes/austrian-bundesliga/25-26/ejes_definition.json
new file mode 100644
index 0000000000000000000000000000000000000000..837ad3219dca087841e595b492cf34d47b528bb1
--- /dev/null
+++ b/vendor/data/ejes/austrian-bundesliga/25-26/ejes_definition.json
@@ -0,0 +1 @@
+{"verticalidad": ["verticalidad_media", "pct_verticales", "pct_largos", "transition_speed"], "elaboracion": ["n_passes", "duration_s", "paredes", "pct_cortos"], "individual": ["takeons_ok", "dribbles_last_third", "dribbles_box", "dang_runs"], "rotura_lineas": ["broke_last_line", "broke_second_last", "line_breaks", "pct_through"], "amplitud_centro": ["pct_afuera", "pct_switch", "n_centros"], "profundidad_espalda": ["passes_behind_line", "behind_line_ok", "pelotazos_espalda", "deep_completions"], "robo_alto": ["start_x", "starts_from_dispossess"], "aereo_segunda": ["pct_headpass", "pct_layoff", "pct_launch"]}
\ No newline at end of file
diff --git a/vendor/data/ejes/austrian-bundesliga/25-26/match_team_ejes.parquet b/vendor/data/ejes/austrian-bundesliga/25-26/match_team_ejes.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..396d34cbb9f73494d8bfa5b8f9dc5070673a6f08
--- /dev/null
+++ b/vendor/data/ejes/austrian-bundesliga/25-26/match_team_ejes.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34ac9709b1400fa0f71928e8538614ea303347633aa3836934bd6af16f0c57a0
+size 50362
diff --git a/vendor/data/ejes/austrian-bundesliga/25-26/match_team_vars.parquet b/vendor/data/ejes/austrian-bundesliga/25-26/match_team_vars.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..f042a6a0c875eee4da6ca6cf17d8b51afd9ae2ec
--- /dev/null
+++ b/vendor/data/ejes/austrian-bundesliga/25-26/match_team_vars.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:369d7898e2b3bfea976781f4c9157f5e1ee61f0f787961eec669b47e88f66b0d
+size 188615
diff --git a/vendor/data/ejes/austrian-bundesliga/25-26/predictor.json b/vendor/data/ejes/austrian-bundesliga/25-26/predictor.json
new file mode 100644
index 0000000000000000000000000000000000000000..18582e01add43dd056eae5917d92ee448b6895b6
--- /dev/null
+++ b/vendor/data/ejes/austrian-bundesliga/25-26/predictor.json
@@ -0,0 +1 @@
+{"verticalidad": {"gen": 0.8698, "con": 0.7797, "intercept": 0.0142}, "elaboracion": {"gen": 0.8787, "con": 0.8584, "intercept": 0.0001}, "individual": {"gen": 0.8901, "con": 0.5205, "intercept": 0.0002}, "rotura_lineas": {"gen": 0.7177, "con": 0.8074, "intercept": -0.0006}, "amplitud_centro": {"gen": 0.7346, "con": 0.7682, "intercept": -0.0003}, "profundidad_espalda": {"gen": 0.5978, "con": 0.8096, "intercept": -0.0008}, "robo_alto": {"gen": 0.8745, "con": 0.7521, "intercept": 0.0036}, "aereo_segunda": {"gen": 0.8563, "con": 0.803, "intercept": 0.0004}}
\ No newline at end of file
diff --git a/vendor/data/ejes/austrian-bundesliga/25-26/scales.json b/vendor/data/ejes/austrian-bundesliga/25-26/scales.json
new file mode 100644
index 0000000000000000000000000000000000000000..65e1ee8f8112363b02838a29759455affb8b618a
--- /dev/null
+++ b/vendor/data/ejes/austrian-bundesliga/25-26/scales.json
@@ -0,0 +1 @@
+{"var_sigma": {"atk_l": 2.2706, "atk_w": 1.2243, "ball_distance": 44.4577, "behind_line_ok": 0.023, "broke_last_line": 0.0154, "broke_second_last": 0.041, "cross_pvadded_max": 0.0013, "dang_runs": 0.0682, "deep_completions": 0.1132, "def_h": 3.0438, "dribbles_box": 0.0098, "dribbles_last_third": 0.0221, "duration_s": 18.4642, "hold_max": 1.5917, "hold_mean": 1.0796, "hold_min": 1.0543, "line_breaks": 0.221, "max_x": 3.9481, "n_centros": 0.0456, "n_events": 1.725, "n_involved": 0.1619, "n_passes": 0.5913, "opt_quality_mean": 0.1432, "paredes": 0.0976, "pass_options_mean": 1.5337, "passes_behind_line": 0.0388, "pct_adentro": 0.0381, "pct_afuera": 0.0364, "pct_cortos": 0.0458, "pct_headpass": 0.0156, "pct_largos": 0.0471, "pct_launch": 0.0374, "pct_layoff": 0.0051, "pct_medios": 0.0381, "pct_switch": 0.0044, "pct_through": 0.0041, "pct_verticales": 0.0575, "pelotazos_espalda": 0.0338, "press_final": 0.4181, "press_media": 0.2789, "prog_x": 2.5661, "start_x": 4.5257, "starts_from_dispossess": 0.0161, "takeons_ok": 0.0195, "tempo": 0.0397, "transition_speed": 0.6923, "verticalidad_media": 0.0731}, "eje_sigma": {"eje_verticalidad": 0.1181, "eje_elaboracion": 0.1026, "eje_individual": 0.0618, "eje_rotura_lineas": 0.064, "eje_amplitud_centro": 0.0577, "eje_profundidad_espalda": 0.0861, "eje_robo_alto": 0.0959, "eje_aereo_segunda": 0.069}, "eje_match_mean": {"eje_verticalidad": -0.0219, "eje_elaboracion": -0.0002, "eje_individual": -0.0006, "eje_rotura_lineas": 0.0012, "eje_amplitud_centro": 0.0005, "eje_profundidad_espalda": 0.002, "eje_robo_alto": -0.0058, "eje_aereo_segunda": -0.0007}, "eje_match_std": {"eje_verticalidad": 0.1337, "eje_elaboracion": 0.1181, "eje_individual": 0.0709, "eje_rotura_lineas": 0.0679, "eje_amplitud_centro": 0.061, "eje_profundidad_espalda": 0.0894, "eje_robo_alto": 0.1101, "eje_aereo_segunda": 0.0777}, "team_var_norm": {"Austria Wien": {"atk_l": 37.247, "atk_w": 32.686, "ball_distance": 95.8914, "behind_line_ok": 0.0588, "broke_last_line": 0.0385, "broke_second_last": 0.1505, "cross_pvadded_max": 0.0006, "dang_runs": 0.1003, "deep_completions": 0.3634, "def_h": 29.9407, "dribbles_box": 0.0129, "dribbles_last_third": 0.0537, "duration_s": 23.1901, "hold_max": 9.295, "hold_mean": 5.7404, "hold_min": 3.6356, "line_breaks": 0.4531, "max_x": 69.8701, "n_centros": 0.1382, "n_events": 5.158, "n_involved": 1.8105, "n_passes": 2.7692, "opt_quality_mean": 0.0356, "paredes": 0.2203, "pass_options_mean": 8.9608, "passes_behind_line": 0.1417, "pct_adentro": 0.5338, "pct_afuera": 0.3929, "pct_cortos": 0.3773, "pct_headpass": 0.051, "pct_largos": 0.2148, "pct_launch": 0.1055, "pct_layoff": 0.0081, "pct_medios": 0.3364, "pct_switch": 0.0038, "pct_through": 0.0024, "pct_verticales": 0.5019, "pelotazos_espalda": 0.1037, "press_final": 2.5633, "press_media": 1.9129, "prog_x": 24.159, "start_x": 46.5474, "starts_from_dispossess": 0.0354, "takeons_ok": 0.0416, "tempo": 0.3993, "transition_speed": 3.7005, "verticalidad_media": 0.3542}, "Blau-Weiß Linz": {"atk_l": 40.3425, "atk_w": 32.0728, "ball_distance": 95.329, "behind_line_ok": 0.0407, "broke_last_line": 0.0209, "broke_second_last": 0.1355, "cross_pvadded_max": 0.0007, "dang_runs": 0.0886, "deep_completions": 0.3024, "def_h": 31.1582, "dribbles_box": 0.0061, "dribbles_last_third": 0.0382, "duration_s": 23.8606, "hold_max": 9.6337, "hold_mean": 5.5424, "hold_min": 3.3149, "line_breaks": 0.4172, "max_x": 68.1032, "n_centros": 0.1065, "n_events": 5.1708, "n_involved": 1.8724, "n_passes": 2.6514, "opt_quality_mean": 0.0319, "paredes": 0.1892, "pass_options_mean": 8.7267, "passes_behind_line": 0.1273, "pct_adentro": 0.5311, "pct_afuera": 0.3883, "pct_cortos": 0.3636, "pct_headpass": 0.053, "pct_largos": 0.2152, "pct_launch": 0.1207, "pct_layoff": 0.0104, "pct_medios": 0.3414, "pct_switch": 0.004, "pct_through": 0.0022, "pct_verticales": 0.5002, "pelotazos_espalda": 0.0979, "press_final": 2.5448, "press_media": 1.9086, "prog_x": 24.2207, "start_x": 45.1211, "starts_from_dispossess": 0.0421, "takeons_ok": 0.0362, "tempo": 0.4309, "transition_speed": 4.1346, "verticalidad_media": 0.3545}, "Grazer AK": {"atk_l": 40.2141, "atk_w": 32.9616, "ball_distance": 98.1642, "behind_line_ok": 0.0507, "broke_last_line": 0.0238, "broke_second_last": 0.1241, "cross_pvadded_max": 0.0003, "dang_runs": 0.1149, "deep_completions": 0.2145, "def_h": 32.8187, "dribbles_box": 0.0077, "dribbles_last_third": 0.0413, "duration_s": 23.4329, "hold_max": 10.3087, "hold_mean": 6.4454, "hold_min": 4.2461, "line_breaks": 0.4437, "max_x": 66.4975, "n_centros": 0.0956, "n_events": 4.9511, "n_involved": 1.7903, "n_passes": 2.5623, "opt_quality_mean": -0.0602, "paredes": 0.1616, "pass_options_mean": 8.6827, "passes_behind_line": 0.145, "pct_adentro": 0.5227, "pct_afuera": 0.3887, "pct_cortos": 0.3186, "pct_headpass": 0.0532, "pct_largos": 0.2686, "pct_launch": 0.1167, "pct_layoff": 0.0118, "pct_medios": 0.325, "pct_switch": 0.0053, "pct_through": 0.003, 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diff --git a/vendor/data/ejes/brack-super-league/25-26/predictor.json b/vendor/data/ejes/brack-super-league/25-26/predictor.json
new file mode 100644
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--- /dev/null
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@@ -0,0 +1 @@
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diff --git a/vendor/data/ejes/brack-super-league/25-26/scales.json b/vendor/data/ejes/brack-super-league/25-26/scales.json
new file mode 100644
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--- /dev/null
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+++ b/vendor/data/ejes/dutch-eerste-divisie/25-26/scales.json
@@ -0,0 +1 @@
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+++ b/vendor/data/ejes/german-bundesliga-zwei/25-26/predictor.json
@@ -0,0 +1 @@
+{"verticalidad": {"gen": 0.9141, "con": 0.7642, "intercept": 0.017}, "elaboracion": {"gen": 0.8999, "con": 0.7248, "intercept": -0.0012}, "individual": {"gen": 0.8712, "con": 0.4089, "intercept": 0.0001}, "rotura_lineas": {"gen": 0.8262, "con": 0.6203, "intercept": -0.0004}, "amplitud_centro": {"gen": 0.848, "con": 0.6884, "intercept": 0.0001}, "profundidad_espalda": {"gen": 0.7066, "con": 0.055, "intercept": 0.0003}, "robo_alto": {"gen": 0.7104, "con": 0.7262, "intercept": 0.002}, "aereo_segunda": {"gen": 0.9338, "con": 0.7678, "intercept": -0.0002}}
\ No newline at end of file
diff --git a/vendor/data/ejes/german-bundesliga-zwei/25-26/scales.json b/vendor/data/ejes/german-bundesliga-zwei/25-26/scales.json
new file mode 100644
index 0000000000000000000000000000000000000000..1350d30d658a314d4c3676bcd6d53976249b2ea3
--- /dev/null
+++ b/vendor/data/ejes/german-bundesliga-zwei/25-26/scales.json
@@ -0,0 +1 @@
+{"var_sigma": {"atk_l": 1.869, "atk_w": 1.4049, "ball_distance": 55.7729, "behind_line_ok": 0.0234, "broke_last_line": 0.0167, "broke_second_last": 0.0418, "cross_pvadded_max": 0.0015, "dang_runs": 0.0755, "deep_completions": 0.1038, "def_h": 2.8037, "dribbles_box": 0.0101, "dribbles_last_third": 0.0242, "duration_s": 19.7555, "hold_max": 1.3394, "hold_mean": 1.0159, "hold_min": 0.9954, "line_breaks": 0.2943, "max_x": 3.6501, "n_centros": 0.0439, "n_events": 1.8609, "n_involved": 0.1734, "n_passes": 0.6162, "opt_quality_mean": 0.1403, "paredes": 0.1167, "pass_options_mean": 1.512, "passes_behind_line": 0.0398, "pct_adentro": 0.0343, "pct_afuera": 0.0333, "pct_cortos": 0.0453, "pct_headpass": 0.0147, "pct_largos": 0.0456, "pct_launch": 0.0321, "pct_layoff": 0.005, "pct_medios": 0.0377, "pct_switch": 0.0047, "pct_through": 0.0038, "pct_verticales": 0.0534, "pelotazos_espalda": 0.0345, "press_final": 0.2905, "press_media": 0.1683, "prog_x": 2.3854, "start_x": 4.5061, "starts_from_dispossess": 0.017, "takeons_ok": 0.0206, "tempo": 0.0387, "transition_speed": 0.7024, "verticalidad_media": 0.0633}, "eje_sigma": {"eje_verticalidad": 0.1126, "eje_elaboracion": 0.1026, "eje_individual": 0.0627, "eje_rotura_lineas": 0.0614, "eje_amplitud_centro": 0.0538, "eje_profundidad_espalda": 0.0843, "eje_robo_alto": 0.0981, "eje_aereo_segunda": 0.0656}, "eje_match_mean": {"eje_verticalidad": -0.025, "eje_elaboracion": 0.0019, "eje_individual": -0.0003, "eje_rotura_lineas": 0.001, "eje_amplitud_centro": -0.0001, "eje_profundidad_espalda": 0.0011, "eje_robo_alto": -0.0046, "eje_aereo_segunda": 0.0003}, "eje_match_std": {"eje_verticalidad": 0.1266, "eje_elaboracion": 0.1146, "eje_individual": 0.0695, "eje_rotura_lineas": 0.0663, "eje_amplitud_centro": 0.0585, "eje_profundidad_espalda": 0.0886, "eje_robo_alto": 0.1032, "eje_aereo_segunda": 0.0752}, "team_var_norm": {"Arminia Bielefeld": {"atk_l": 37.1429, "atk_w": 31.3504, "ball_distance": 114.5285, "behind_line_ok": 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"start_x": 45.6225, "starts_from_dispossess": 0.036, "takeons_ok": 0.0432, "tempo": 0.4032, "transition_speed": 3.7674, "verticalidad_media": 0.3387}, "Darmstadt 98": {"atk_l": 42.7397, "atk_w": 33.7005, "ball_distance": 156.3055, "behind_line_ok": 0.0587, "broke_last_line": 0.0412, "broke_second_last": 0.1814, "cross_pvadded_max": 0.0015, "dang_runs": 0.1321, "deep_completions": 0.3399, "def_h": 31.5262, "dribbles_box": 0.0098, "dribbles_last_third": 0.0455, "duration_s": 34.2288, "hold_max": 10.7922, "hold_mean": 6.0979, "hold_min": 3.6742, "line_breaks": 0.7705, "max_x": 68.3526, "n_centros": 0.1311, "n_events": 6.5197, "n_involved": 1.9862, "n_passes": 3.5513, "opt_quality_mean": 0.0142, "paredes": 0.3266, "pass_options_mean": 8.4132, "passes_behind_line": 0.1357, "pct_adentro": 0.5134, "pct_afuera": 0.3994, "pct_cortos": 0.3672, "pct_headpass": 0.0497, "pct_largos": 0.2231, "pct_launch": 0.0846, "pct_layoff": 0.0123, "pct_medios": 0.3234, "pct_switch": 0.0088, "pct_through": 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"pct_largos": 0.1933, "pct_launch": 0.1029, "pct_layoff": 0.0093, "pct_medios": 0.3396, "pct_switch": 0.0016, "pct_through": 0.0024, "pct_verticales": 0.4666, "pelotazos_espalda": 0.084, "press_final": 2.4891, "press_media": 1.8233, "prog_x": 23.78, "start_x": 44.7735, "starts_from_dispossess": 0.0401, "takeons_ok": 0.0435, "tempo": 0.4093, "transition_speed": 3.5965, "verticalidad_media": 0.3098}, "Eintracht Braunschweig": {"atk_l": 38.3617, "atk_w": 30.4668, "ball_distance": 94.728, "behind_line_ok": 0.042, "broke_last_line": 0.0241, "broke_second_last": 0.1521, "cross_pvadded_max": 0.0005, "dang_runs": 0.1023, "deep_completions": 0.2331, "def_h": 31.3278, "dribbles_box": 0.0115, "dribbles_last_third": 0.0634, "duration_s": 25.4265, "hold_max": 10.6537, "hold_mean": 6.5252, "hold_min": 4.1979, "line_breaks": 0.5054, "max_x": 68.0048, "n_centros": 0.0981, "n_events": 5.2846, "n_involved": 1.7761, "n_passes": 2.6646, "opt_quality_mean": 0.0385, "paredes": 0.18, "pass_options_mean": 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--- /dev/null
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new file mode 100644
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new file mode 100644
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diff --git a/vendor/data/ejes/spanish-la-liga/25-26/ejes_definition.json b/vendor/data/ejes/spanish-la-liga/25-26/ejes_definition.json
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\ No newline at end of file
diff --git a/vendor/data/ejes/uefa-conference-league/25-26/team_profiles.parquet b/vendor/data/ejes/uefa-conference-league/25-26/team_profiles.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..45a454f31723620f564195f50154e04e15558699
--- /dev/null
+++ b/vendor/data/ejes/uefa-conference-league/25-26/team_profiles.parquet
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