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index.html
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<!doctype html>
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<html>
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</html>
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<!doctype html>
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<html lang="en">
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>Four ways to remove a bookmaker margin, and why the choice matters</title>
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<meta name="description" content="Proportional, additive, power and Shin de-vigging explained on one worked three-way market, with the probabilities each method produces and when the difference matters.">
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<style>
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:root{--bg:#fbfbfd;--ink:#1a1c22;--mute:#5f6573;--line:#e1e4ea;--accent:#7a2e8e;--chip:#f6eefb;--card:#fff}
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@media (prefers-color-scheme:dark){:root{--bg:#121318;--ink:#e9ebf0;--mute:#a0a6b4;--line:#2b2e37;--accent:#d7a3ea;--chip:#241a2b;--card:#171a21}}
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*{box-sizing:border-box}
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body{margin:0;background:var(--bg);color:var(--ink);font:16px/1.65 system-ui,-apple-system,"Segoe UI",sans-serif}
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main{max-width:800px;margin:0 auto;padding:40px 16px 64px}
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h1{font-size:1.9rem;line-height:1.2;margin:0 0 10px}
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h2{font-size:1.15rem;margin:34px 0 8px}
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p{margin:0 0 14px}
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.lead{color:var(--mute);font-size:1.08rem}
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.card{background:var(--card);border:1px solid var(--line);border-radius:14px;padding:16px 20px;margin:22px 0}
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table{width:100%;border-collapse:collapse;font-variant-numeric:tabular-nums}
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th,td{text-align:left;padding:8px 10px;border-bottom:1px solid var(--line)}
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th{font-size:.82rem;text-transform:uppercase;letter-spacing:.04em;color:var(--mute)}
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tr:last-child td{border-bottom:0}
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code{font:.95em ui-monospace,Consolas,monospace;background:var(--chip);padding:1px 5px;border-radius:5px}
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.box{background:var(--chip);border-radius:12px;padding:14px 18px;margin:24px 0}
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a{color:var(--accent)}
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footer{margin-top:48px;color:var(--mute);font-size:.88rem;border-top:1px solid var(--line);padding-top:16px}
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</style>
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</head>
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<body>
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<main>
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<h1>Four ways to remove a bookmaker margin</h1>
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<p class="lead">A market's quoted prices imply probabilities that add to more than 100%. To use them as forecasts you have to decide how to give the excess back. Four common methods give four different answers for the same market.</p>
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<h2>The worked market</h2>
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<p>A three-way result market quoted at 2.10 / 3.40 / 3.50. The implied probabilities are 47.62%, 29.41% and 28.57%, which add to 105.60%: a margin of 5.60% to remove.</p>
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<div class="card">
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<table>
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<thead><tr><th>Method</th><th>Rule</th><th>Home</th><th>Draw</th><th>Away</th></tr></thead>
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<tbody>
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<tr><td>Raw implied</td><td>1 / price</td><td>47.62%</td><td>29.41%</td><td>28.57%</td></tr>
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<tr><td>Proportional</td><td>divide each by the total</td><td>45.09%</td><td>27.85%</td><td>27.06%</td></tr>
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<tr><td>Additive</td><td>subtract margin ÷ n from each</td><td>45.75%</td><td>27.54%</td><td>26.70%</td></tr>
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<tr><td>Power</td><td>raise each to the k that makes them sum to 1 (k = 1.054)</td><td>45.75%</td><td>27.54%</td><td>26.71%</td></tr>
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<tr><td>Shin</td><td>solve for an insider share z, then adjust (z = 0.028)</td><td>45.58%</td><td>27.62%</td><td>26.80%</td></tr>
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</tbody>
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</table>
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</div>
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<p>Proportional keeps the raw shape; power and additive take more from the two outsiders and give it to the favourite, and Shin sits between. On this fairly even market the methods differ by under a point. On a lopsided market (1.10 against 7.00) they can differ by two to three points on the outsider, which is a large fraction of a 12% chance.</p>
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<h2>What each method assumes</h2>
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<p><strong>Proportional</strong> assumes the margin is spread in proportion to each outcome's probability. It is the simplest and the usual default. <strong>Additive</strong> assumes an equal slice per outcome, which can push a tiny outsider below zero on extreme markets. <strong>Power</strong> (one exponent applied to all implied probabilities) and <strong>Shin</strong> (a model in which a share <em>z</em> of money comes from informed bettors) both assume the margin sits more heavily on outsiders, which is the pattern that measurements of settled markets tend to support.</p>
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<h2>Why it matters</h2>
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<p>Štrumbelj (2014) compared these allocations on large samples and found the choice affects forecast accuracy, mostly in the tails. The <a href="https://betbetter.world/studies/market-calibration">market calibration study</a> uses the proportional method as a conservative baseline on 36,476 observations and finds exactly the tail signature the Shin and power views predict: outsiders slightly overperform their proportional margin-free price. Its open data set lets anyone re-run the band table under another method.</p>
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<div class="box">
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<p><strong>Practical rule.</strong> For near-even markets use proportional and move on. For markets with an outcome under about 20%, compare proportional with Shin or power before trusting the outsider's probability, and read the margin size first: the <a href="https://betbetter.world/studies/margin-index">daily bookmaker margin index</a> shows that three-way markets carried about 7.6% in July to September 2026 against about 4.8% for two-way match results, so there is more to allocate. The <a href="https://betbetter.world/studies/bookmaker-margins">method notes</a> describe how those margins are measured.</p>
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<p style="margin:0">Margin-free model probabilities, already allocated, are published through a <a href="https://betbetter.world/api/">free API with no key</a>.</p>
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</div>
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<footer>Compiled by Bet Better Pty Ltd, Melbourne. Worked figures are computed from the stated prices; Shin and power values are rounded solutions. Educational reference, not betting advice.</footer>
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</main>
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</body>
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</html>
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