{"id":3934,"date":"2026-09-19T10:00:00","date_gmt":"2026-09-19T10:00:00","guid":{"rendered":"https:\/\/oddspapi.io\/blog\/?p=3934"},"modified":"2026-09-09T13:24:48","modified_gmt":"2026-09-09T13:24:48","slug":"euroleague-basketball-odds-api","status":"publish","type":"post","link":"https:\/\/oddspapi.io\/blog\/euroleague-basketball-odds-api\/","title":{"rendered":"EuroLeague Odds API: 205 Books, Two Result Markets, One Draw Leg"},"content":{"rendered":"

EuroLeague opening night is 24 September, and the board is already open. One call to the OddsPapi EuroLeague odds API<\/strong> on 9 September returned 205 bookmakers, 2,933 market IDs and 46,720 prices<\/strong> on Dubai Basketball v Real Madrid, fifteen days before tip-off.<\/p>\n

Then the parsing problem starts. Basketball ships the match result under two different market IDs, and they are two different bets<\/strong>. Market 111<\/code> is the two-way winner including overtime. Market 113<\/code> is the three-way regular-time result, and it carries a draw leg priced between 9.0 and 21.0. Read one and you miss the other. Merge them and you have mixed two settlement rules into one number.<\/p>\n

The Two Result Markets, Measured<\/h2>\n

Every number below comes from live calls made on 9 September 2026 against four EuroLeague fixtures on the 24 September slate.<\/p>\n

\n\n\n\n\n\n\n
Market<\/th>\nID<\/th>\nLegs<\/th>\nBooks quoting it<\/th>\nMedian margin<\/th>\n<\/tr>\n<\/thead>\n
Winner (incl. overtime)<\/td>\n111<\/code><\/td>\n2 (111 home, 112 away)<\/td>\n188 to 192<\/td>\n5.95% to 6.49%<\/td>\n<\/tr>\n
Regular Time Result<\/td>\n113<\/code><\/td>\n3 (113 home, 114 draw, 115 away)<\/td>\n69 on all four fixtures<\/td>\n9.12% to 9.41%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

The three-way costs about 2.8 percentage points more margin than the two-way on the same fixture. That gap is the price of the draw leg, and a regulation tie is a real outcome in a EuroLeague game.<\/p>\n

No sharp book and no exchange quotes market 113.<\/strong> On Puerto Rico v China at the FIBA Women’s World Cup, hours before tip-off, the board ran 248 books deep and the sharp menus looked like this:<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n
Bookmaker<\/th>\nMarkets on the fixture<\/th>\nQuotes market 113?<\/th>\nMarket types carried<\/th>\n<\/tr>\n<\/thead>\n
pinnacle<\/code><\/td>\n63<\/td>\nNo<\/td>\nspreads, totals, moneyline<\/td>\n<\/tr>\n
betfair-ex<\/code><\/td>\n213<\/td>\nNo<\/td>\ntotals, spreads, moneyline<\/td>\n<\/tr>\n
kalshi<\/code><\/td>\n18<\/td>\nNo<\/td>\nspreads, moneyline, totals<\/td>\n<\/tr>\n
polymarket<\/code><\/td>\n1<\/td>\nNo<\/td>\nmoneyline<\/td>\n<\/tr>\n
bet365<\/code><\/td>\n204<\/td>\nNo<\/td>\nteam totals, totals, spreads, moneyline<\/td>\n<\/tr>\n
draftkings<\/code><\/td>\n140<\/td>\nNo<\/td>\nspreads, totals, team totals, moneyline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

144 of the 248 books quoted the three-way. Not one of them was a sharp. Pinnacle carried 364 markets on last season’s EuroLeague final and market 113 was absent from all of them. If you want a fair price on the regular-time draw, you build it from the two-way sharp line and a tie model. There is no sharp anchor to copy.<\/p>\n

Old Way vs OddsPapi<\/h2>\n
\n\n\n\n\n\n\n\n\n\n
Task<\/th>\nThe old way<\/th>\nOddsPapi<\/th>\n<\/tr>\n<\/thead>\n
Find EuroLeague fixtures<\/td>\nScrape a schedule page, map team names by hand<\/td>\n\/v4\/fixtures?sportId=11&tournamentId=138<\/code><\/td>\n<\/tr>\n
Get the winner price<\/td>\nOne book, one moneyline<\/td>\n205 books in one call, both result markets<\/td>\n<\/tr>\n
Price the regular-time draw<\/td>\nNot available from any sharp feed<\/td>\n69 books on market 113<\/code>, draw leg included<\/td>\n<\/tr>\n
Backtest last season<\/td>\nPaid history, or none<\/td>\nFree \/v4\/historical-odds<\/code>, snapshot by snapshot<\/td>\n<\/tr>\n
Grade the bet<\/td>\nMatch a box score to a market by hand<\/td>\n\/v4\/settlements<\/code> returns WIN, LOSE, PUSH per outcome<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

Step 1: Find the Fixtures<\/h2>\n

Basketball is sportId<\/code> 11. EuroLeague is tournamentId<\/code> 138, which you read once from \/v4\/tournaments<\/code> and then cache. Auth is a query parameter, never a header.<\/p>\n

import os, requests\n\nAPI_KEY = os.environ[\"ODDSPAPI_API_KEY\"]\nBASE = \"https:\/\/api.oddspapi.io\/v4\"\nEUROLEAGUE = 138          # tournamentId, from \/v4\/tournaments?sportId=11\n\ndef euroleague_fixtures(start, end):\n    r = requests.get(f\"{BASE}\/fixtures\", params={\n        \"apiKey\": API_KEY, \"sportId\": 11,\n        \"tournamentId\": EUROLEAGUE, \"from\": start, \"to\": end,\n    })\n    r.raise_for_status()\n    return r.json()\n\nfixtures = euroleague_fixtures(\"2026-09-09\", \"2026-11-30\")\nprint(f\"{len(fixtures)} fixtures, {sum(f['hasOdds'] for f in fixtures)} flagged hasOdds\")\nfor f in sorted(fixtures, key=lambda x: x[\"startTime\"])[:3]:\n    print(f[\"fixtureId\"], f[\"startTime\"][:16],\n          f[\"participant1Name\"], \"v\", f[\"participant2Name\"])<\/code><\/pre>\n
140 fixtures, 140 flagged hasOdds\nid1100013873262938 2026-09-24T16:00 Dubai Basketball v Real Madrid\nid1100013873262940 2026-09-24T17:00 Hapoel Tel-Aviv v Bayern Munich\nid1100013873262942 2026-09-24T18:00 KK Crvena zvezda Belgrade v BC Zalgiris Kaunas<\/code><\/pre>\n
Adding tournamentId<\/code> also lifts the ten-day cap that \/fixtures<\/code> applies when sportId<\/code> is the only filter. That is how the call above reaches into November.<\/p>\n
hasOdds Is a Flag, Not a Board<\/h3>\n
All 140 EuroLeague fixtures come back with hasOdds: true<\/code>. Fewer carry a live board today, because the books open the European competitions on their own schedule. Probe \/odds<\/code> before you commit a fixture to a pipeline.<\/p>\n
import os, time, requests\n\nAPI_KEY = os.environ[\"ODDSPAPI_API_KEY\"]\nBASE = \"https:\/\/api.oddspapi.io\/v4\"\n\ndef board(fixture_id):\n    r = requests.get(f\"{BASE}\/odds\",\n                     params={\"apiKey\": API_KEY, \"fixtureId\": fixture_id})\n    r.raise_for_status()\n    return r.json().get(\"bookmakerOdds\")   # absent when no book has opened\n\nfor fixture_id, label in [\n    (\"id1100013873262938\", \"EuroLeague  Dubai v Real Madrid\"),\n    (\"id1100014172902422\", \"EuroCup     Neptunas v Trento\"),\n    (\"id1100026473713458\", \"Liga ACB    Baskonia v Valencia\"),\n]:\n    books = board(fixture_id)\n    time.sleep(1.2)          # \/odds is rate limited; pace the loop\n    if not books:\n        print(f\"{label}: no book has opened this fixture yet\")\n        continue\n    prices = active = 0\n    markets = set()\n    for feed in books.values():\n        for market_id, market in feed[\"markets\"].items():\n            markets.add(market_id)\n            for outcome in market[\"outcomes\"].values():\n                for price in outcome[\"players\"].values():\n                    prices += 1\n                    active += 1 if price[\"active\"] else 0\n    print(f\"{label}: {len(books)} books, {len(markets)} market IDs, \"\n          f\"{prices} prices, {active\/prices:.1%} active\")<\/code><\/pre>\n
EuroLeague  Dubai v Real Madrid: 205 books, 2933 market IDs, 46720 prices, 17.1% active\nEuroCup     Neptunas v Trento: 49 books, 35 market IDs, 796 prices, 100.0% active\nLiga ACB    Baskonia v Valencia: no book has opened this fixture yet<\/code><\/pre>\n
Three competitions, three answers, one API call each. EuroLeague runs 205 books deep. The EuroCup opener five days later runs 49 books and 35 market IDs. Liga ACB, the Basketball Champions League, the Adriatic League and the German BBL all return HTTP 200 with bookmakerOdds<\/code> absent, because their boards had not opened when we measured.<\/p>\n
Look at the active rate in that output. The 205-book EuroLeague board is 17.1% active. The 49-book EuroCup board is 100% active. A wide board is mostly parked rungs waiting to be turned on, so filter on the price-level active<\/code> flag or your depth count is three to six times too high<\/strong>.<\/p>\n
Step 2: Read Both Result Markets<\/h2>\n
Now the core of it. One function reads a market and returns its active legs. The caller checks the leg count before it trusts the margin.<\/p>\n
import os, statistics, requests\n\nAPI_KEY = os.environ[\"ODDSPAPI_API_KEY\"]\nBASE = \"https:\/\/api.oddspapi.io\/v4\"\n\nWINNER_OT = \"111\"    # Winner (incl. overtime)  -> outcomes 111 home, 112 away\nREG_TIME  = \"113\"    # Regular Time Result      -> outcomes 113 home, 114 draw, 115 away\n\ndef legs(feed, market_id):\n    \"\"\"Return {outcomeId: price} for one market, or None if the book skips it.\"\"\"\n    market = feed[\"markets\"].get(market_id)\n    if not market:\n        return None\n    out = {}\n    for outcome_id, outcome in market[\"outcomes\"].items():\n        price = outcome[\"players\"].get(\"0\")\n        if price and price[\"active\"] and price[\"price\"]:\n            out[outcome_id] = price[\"price\"]\n    return out\n\ndef read_both(fixture_id):\n    r = requests.get(f\"{BASE}\/odds\",\n                     params={\"apiKey\": API_KEY, \"fixtureId\": fixture_id})\n    r.raise_for_status()\n    books = r.json()[\"bookmakerOdds\"]\n    two_way, three_way = {}, {}\n    for slug, feed in books.items():\n        ml = legs(feed, WINNER_OT)\n        if ml and len(ml) == 2:                 # both legs, or the margin lies\n            two_way[slug] = ml\n        x2 = legs(feed, REG_TIME)\n        if x2 and len(x2) == 3:                 # home, draw, away\n            three_way[slug] = x2\n    return books, two_way, three_way\n\ndef margin(prices):\n    return sum(1 \/ p for p in prices.values()) - 1\n\nbooks, two_way, three_way = read_both(\"id1100013873262938\")\nprint(f\"{len(books)} books on the board\")\nprint(f\"  market 111 complete and active: {len(two_way)}  \"\n      f\"median margin {statistics.median(map(margin, two_way.values())):.2%}\")\nprint(f\"  market 113 complete and active: {len(three_way)}  \"\n      f\"median margin {statistics.median(map(margin, three_way.values())):.2%}\")\ndraws = sorted(p[\"114\"] for p in three_way.values())\nprint(f\"  draw leg: {draws[0]} to {draws[-1]}, median {statistics.median(draws)}\")<\/code><\/pre>\n
205 books on the board\n  market 111 complete and active: 179  median margin 6.49%\n  market 113 complete and active: 67  median margin 9.12%\n  draw leg: 9.0 to 21.0, median 14.0<\/code><\/pre>\n
A draw leg spanning 9.0 to 21.0 across 67 books is a 6.4 point spread in implied probability on a single outcome. Nobody is competing on the regulation tie, which is what you would expect from a leg no sharp book prices.<\/p>\n
Count the Legs Before You Compute a Margin<\/h3>\n
The len(ml) == 2<\/code> and len(x2) == 3<\/code> checks in that function are load-bearing. Three examples from the same four fixtures:<\/p>\n