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README.md
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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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language:
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- en
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pretty_name: Bookmaker Margin Panel
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size_categories:
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- 1K<n<10K
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task_categories:
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- tabular-regression
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- tabular-classification
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tags:
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- sports-betting
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- bookmaker-margin
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- overround
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- gambling-economics
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- panel-data
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- tabular
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configs:
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- config_name: default
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data_files:
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- betbetter_margin_panel.csv
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- betbetter_prop_margin_panel.csv
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---
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# Bookmaker Margin Panel — daily measured betting margins across 22 leagues and 3 market types
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A daily panel of **measured bookmaker margins (overround/vigorish)** across head-to-head, spread
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and totals markets: one row per day × league × region × market type, aggregated from over
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4 million individually recorded odds observations (2.7 million cleaned markets).
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To our knowledge this is the only openly published bookmaker margin panel. It quantifies the
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*price* of sports betting — the amount by which a market's implied probabilities exceed 100% —
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across operators, sports and time.
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|---|---|
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| **Files** | Main panel: 3,494 cells (day × league × region × market type × time-to-start) · Props panel: 1,148 cells |
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| **Underlying observations** | 2,002,681 cleaned main markets + 699,733 two-sided player-prop markets |
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| **Bookmakers aggregated** | 52 (not identified individually — see Limitations; exchanges excluded) |
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| **Leagues** | 22 competition keys across 15 sports, including 9 soccer leagues |
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| **Market types** | head-to-head (2- and 3-way), spread, total |
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| **Period** | 29 June – 2 August 2026, 35 days (collection continues; quarterly updates planned) |
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| **Licence** | CC BY 4.0 |
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## Columns
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| Column | Meaning |
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|---|---|
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| `snap_date` | Observation date (UTC) |
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| `sport` | League/competition key, e.g. `baseball_mlb`, `soccer_epl` |
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| `region` | `au`, `us` or `offshore_intl` — the licensing region of the operators aggregated in the cell |
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| `market_type` | `h2h`, `spread` or `total` (main panel); specific prop market key in the props file |
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| `time_to_start` | Hours from observation to scheduled start, bucketed (under 6h to over 7 days) — main panel |
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| `outcomes` | Number of priced outcomes (2, or 3 for soccer-style h2h with the draw) |
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| `mean_margin_pct` | Mean margin that day: sum of the outcomes' implied probabilities minus 100, in percent |
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| `n_markets` | Number of distinct market observations in the cell (cells with fewer than 10 are excluded) |
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| `n_bookmakers` | Number of distinct operators aggregated in the cell |
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## Method
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For every pre-match market observation, all priced outcomes were converted to implied
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probabilities (1 ÷ decimal odds) and summed; the excess over 100% is the margin. Two-way and
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three-way markets are kept in separate cells because their margins are not comparable. Excluded:
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in-play observations, implausible margins (below 0%, or above 20% two-way / 35% three-way —
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suspended or near-settled prices), and betting exchanges.
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Full methodology: https://betbetter.world/studies/bookmaker-margins
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## Headline findings from this panel
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- **Player props average a 7.93% margin — 66% more than main head-to-head markets (4.77%)**.
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To our knowledge this is the first public measurement of prop-market margins (699,733
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two-sided prop markets, MLB/NHL/soccer/basketball prop families).
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- The market-type price ladder: h2h **4.77%** → spreads **4.90%** → totals **5.45%**
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→ three-way soccer h2h **7.67%** → player props **7.93%**.
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- **Margin has a term structure**: it peaks 1–3 days before the start (5.23%) and
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compresses to 4.71% in the final six hours — betting early costs measurably more.
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- **Australian-licensed bookmakers average 5.25%, US-licensed 4.72%, offshore/international
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4.55%** — Australians pay roughly 11% more margin than Americans for equivalent bets.
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- Individual operators are not identified in these files; operator-level statistics (a 3.16% to
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5.78% spread between the cheapest and dearest bookmaker) are published in the accompanying
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study: https://betbetter.world/studies/bookmaker-margins
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## Limitations
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One month of collection (a longer panel accumulates with each planned update). Individual
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bookmakers are deliberately not identified in the files: cells aggregate across all operators in
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a region (n_bookmakers reports how many), so no operator's prices or price patterns are
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recoverable — the files are irreversible statistics, not a data feed in any form. Head-to-head is
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the tightest market type bookmakers offer; margins on multis and player props are materially
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higher, so these figures are a floor for the cost of betting generally. No individual odds,
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prices or market observations are included — both files are aggregate statistics derived from a
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licensed feed that does not permit redistribution of the underlying prices.
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## Licence and citation
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CC BY 4.0 — free to use, including commercially, with attribution.
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> Bet Better (2026). *Bookmaker Margin Panel: daily measured betting margins across 22 leagues,
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> three market types and player-prop markets.* https://betbetter.world/studies/bookmaker-margins
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Maintained by [Bet Better](https://betbetter.world), which also publishes a
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[free sports model API](https://betbetter.world/api/) and an
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[open AFL dataset](https://doi.org/10.5281/zenodo.21612783).
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> This dataset contains no odds, no prices and no wagering data — aggregate statistics only. 18+.
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> Most people lose money gambling. If gambling is causing you harm: gamblinghelponline.org.au.
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