{"id":3095,"date":"2026-07-08T10:00:00","date_gmt":"2026-07-08T10:00:00","guid":{"rendered":"https:\/\/oddspapi.io\/blog\/?p=3095"},"modified":"2026-06-21T16:14:42","modified_gmt":"2026-06-21T16:14:42","slug":"abios-esports-api-alternative","status":"publish","type":"post","link":"https:\/\/oddspapi.io\/blog\/abios-esports-api-alternative\/","title":{"rendered":"Abios API Alternative: Free Esports Odds from Pinnacle, Polymarket & 350+ Books"},"content":{"rendered":"

Searching for the Abios API<\/strong>? You have probably already hit the wall: Abios is an enterprise esports data platform owned by Kambi, the sportsbook-tech company. There is no public sign-up, no free tier, and no documented price list. You fill in a “Get in contact” form and wait for a sales call. If all you want is live esports betting odds<\/em> in JSON, that is a heavy way to get it.<\/p>\n

This guide shows you how to pull real-time esports odds, from Pinnacle and prediction markets like Polymarket and Kalshi, with a single free API key and about ten lines of Python. (For the broader esports walkthrough across CS2, LoL and Dota, see our Esports Odds API guide<\/a>.) We will use a live match from The International<\/strong> (Dota 2’s biggest tournament) as the worked example, with numbers pulled straight from the API as this post was written.<\/p>\n

Abios vs OddsPapi: What Each One Actually Does<\/h2>\n

First, an honest distinction, because these two tools solve different problems. Abios is a data and statistics<\/strong> feed: in-game telemetry (KDA, gold, item timings, map positions), historical databases, and widgets, across 15+ esports titles. It is built for operators who want to run their own trading and build live betting products. Per their own documentation, the deep player-stats layer sits in the Enterprise tier, and access is sales-gated.<\/p>\n

OddsPapi is an odds aggregator<\/strong>. We do not ship in-game player stats. What we ship is the betting market: the actual prices that 372 bookmakers, sharps, exchanges, and prediction markets are quoting on a given fixture, in one normalized JSON shape, on a free tier you can self-serve with a key.<\/p>\n

So the question is not “which is better.” It is “do you need esports telemetry<\/em>, or do you need esports odds<\/em>?” If it is odds, you do not need a contract.<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n
 <\/th>\nAbios<\/th>\nOddsPapi<\/th>\n<\/tr>\n<\/thead>\n
Primary product<\/strong><\/td>\nEsports data, stats & widgets<\/td>\nAggregated bookmaker odds<\/td>\n<\/tr>\n
Owner<\/strong><\/td>\nKambi (sportsbook tech)<\/td>\nIndependent<\/td>\n<\/tr>\n
Free tier<\/strong><\/td>\nNone (sales-gated)<\/td>\nYes, free API key<\/td>\n<\/tr>\n
Sign-up<\/strong><\/td>\n“Get in contact” form<\/td>\nInstant key, no card<\/td>\n<\/tr>\n
Coverage<\/strong><\/td>\n15+ esports titles, deep stats<\/td>\n372 bookmakers across 69 sports<\/td>\n<\/tr>\n
Sharp \/ exchange prices<\/strong><\/td>\nYou run your own trading<\/td>\nPinnacle, Betfair, Polymarket, Kalshi included<\/td>\n<\/tr>\n
Historical odds<\/strong><\/td>\n180 days (Match) \/ 5+ yrs (Enterprise)<\/td>\nFree on every fixture<\/td>\n<\/tr>\n
Real-time<\/strong><\/td>\nLow-latency feed (Enterprise)<\/td>\nREST + WebSocket push<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

The Pivot: You Still Need a Sportsbook for Odds<\/h2>\n

Here is the thing an enterprise stats feed does not solve. Even with the richest in-game data in the world, the price<\/em> you can bet or trade against lives at the bookmakers. To compare those prices, find the best line, or benchmark against a sharp book like Pinnacle, you need the bookmaker layer. That is exactly what OddsPapi aggregates.<\/p>\n

And esports is one of the clearest cases for line shopping. The books that price a Dota 2 or CS2 match are a mixed bag, a sharp (Pinnacle), a couple of US\/AU sportsbooks, and prediction markets (Polymarket, Kalshi). They disagree, and the disagreement is the opportunity. Let us prove it with live data.<\/p>\n

Tutorial: Pull Live Esports Odds in Python<\/h2>\n

Step 1: Authenticate<\/h3>\n

Grab a free key, then authenticate. Note the one gotcha that trips up every newcomer: the API key is a query parameter, not a header.<\/strong><\/p>\n

import requests\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\n# apiKey is a QUERY PARAMETER, not a header\nr = requests.get(f\"{BASE_URL}\/sports\", params={\"apiKey\": API_KEY})\nprint(r.status_code)  # 200\n<\/code><\/pre>\n
Step 2: Find the Esports Sports IDs<\/h3>\n
OddsPapi covers 69 sports, and esports titles each have their own sport ID. The headline ones:<\/p>\n
\n\n\n\n\n\n\n\n\n\n
Title<\/th>\nsportId<\/th>\nslug<\/th>\n<\/tr>\n<\/thead>\n
Dota 2<\/td>\n16<\/td>\nesport-dota<\/code><\/td>\n<\/tr>\n
Counter-Strike 2<\/td>\n17<\/td>\nesport-counter-strike<\/code><\/td>\n<\/tr>\n
League of Legends<\/td>\n18<\/td>\nesport-league-of-legends<\/code><\/td>\n<\/tr>\n
Valorant<\/td>\n61<\/td>\nesport-valorant<\/code><\/td>\n<\/tr>\n
Call of Duty<\/td>\n56<\/td>\nesport-call-of-duty<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
Coverage follows the competitive calendar. When this post was written (mid-June), Dota 2’s The International was live, so Dota carried the most fixtures with odds, while CS2 and LoL were between splits. Always discover fixtures live rather than assuming a title is in season. (Title-specific deep dive: our Valorant Odds API guide<\/a> walks the VCT feed the same way.)<\/p>\n
Step 3: Fetch Esports Fixtures with Odds<\/h3>\n
Pull the fixture list for Dota 2 over a date window (max 10 days), then keep only the fixtures that actually have odds attached (hasOdds: true<\/code>).<\/p>\n
from datetime import date, timedelta\n\ntoday = date.today()\nparams = {\n    \"apiKey\": API_KEY,\n    \"sportId\": 16,                       # Dota 2\n    \"from\": today.isoformat(),\n    \"to\": (today + timedelta(days=9)).isoformat(),\n}\nfixtures = requests.get(f\"{BASE_URL}\/fixtures\", params=params).json()\n\nwith_odds = [f for f in fixtures if f.get(\"hasOdds\")]\nfor f in with_odds[:5]:\n    print(f[\"participant1Name\"], \"vs\", f[\"participant2Name\"],\n          \"|\", f[\"tournamentName\"], \"|\", f[\"fixtureId\"])\n<\/code><\/pre>\n
For our example this surfaced an upcoming The International match: Power Rangers vs L1Ga Team<\/strong> (fixtureId id1601391172115550<\/code>, status Pre-Game).<\/p>\n
Step 4: Get the Odds Across Every Book<\/h3>\n
Now hit \/odds<\/code> for that fixture. The response is highly nested<\/strong>: bookmakerOdds -> {slug} -> markets -> {marketId} -> outcomes -> {outcomeId} -> players[\"0\"] -> price<\/code>. For esports the moneyline is market 161<\/strong> (“Winner”), with outcomes 161<\/strong> (participant 1) and 162<\/strong> (participant 2).<\/p>\n
fid = \"id1601391172115550\"\ndata = requests.get(f\"{BASE_URL}\/odds\",\n                    params={\"apiKey\": API_KEY, \"fixtureId\": fid}).json()\nbooks = data[\"bookmakerOdds\"]\n\ndef winner_prices(slug):\n    outs = books.get(slug, {}).get(\"markets\", {}).get(\"161\", {}).get(\"outcomes\", {})\n    out = {}\n    for oid in (\"161\", \"162\"):\n        node = outs.get(oid, {}).get(\"players\", {}).get(\"0\", {})\n        # always check active before trusting a price\n        if node and node.get(\"active\", True):\n            out[oid] = node[\"price\"]\n    return out\n\nfor slug in sorted(books):\n    p = winner_prices(slug)\n    print(f\"{slug:18} P1 {p.get('161')}  P2 {p.get('162')}\")\n<\/code><\/pre>\n
Real output for this Dota 2 match, five venues pricing the same game:<\/p>\n
\n\n\n\n\n\n\n\n\n\n
Bookmaker<\/th>\nType<\/th>\nPower Rangers<\/th>\nL1Ga Team<\/th>\n<\/tr>\n<\/thead>\n
pinnacle<\/td>\nSharp<\/td>\n2.01<\/td>\n1.813<\/td>\n<\/tr>\n
polymarket<\/td>\nPrediction market<\/td>\n2.083<\/td>\n1.887<\/td>\n<\/tr>\n
kalshi<\/td>\nPrediction market<\/td>\n2.083<\/td>\n1.887<\/td>\n<\/tr>\n
betrivers<\/td>\nUS sportsbook<\/td>\n1.90<\/td>\n1.80<\/td>\n<\/tr>\n
pointsbet.com.au<\/td>\nAU sportsbook<\/td>\n2.05<\/td>\nsuspended<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
That is the whole pitch in one table. An enterprise stats feed gives you player KDA; it does not tell you that Polymarket is paying 2.083<\/strong> on Power Rangers while BetRivers is only paying 1.90<\/strong>, a 9.6% better price on the same outcome. That gap is invisible without the bookmaker layer, and capturing it is exactly what line shopping in Python<\/a> is for.<\/p>\n
Step 5: Benchmark Against the Sharp and Find the Best Price<\/h3>\n
Pinnacle is the sharpest public book, so de-vigging its line gives you a fair-probability anchor. With two-way odds the math is simple proportional normalisation:<\/p>\n
pin = winner_prices(\"pinnacle\")          # {'161': 2.01, '162': 1.813}\ninv = 1\/pin[\"161\"] + 1\/pin[\"162\"]\noverround = (inv - 1) * 100\nfair_p1 = 1 \/ (1\/pin[\"161\"] \/ inv)       # de-vigged fair decimal odds\nfair_p2 = 1 \/ (1\/pin[\"162\"] \/ inv)\nprint(f\"Pinnacle overround: {overround:.2f}%\")\nprint(f\"Fair line -> P1 {fair_p1:.3f}  P2 {fair_p2:.3f}\")\n\n# best available price on each side, across every active book\ndef best(oid):\n    quotes = [(winner_prices(s).get(oid), s) for s in books]\n    return max((q for q in quotes if q[0]), default=(None, None))\n\nprint(\"Best Power Rangers:\", best(\"161\"))\nprint(\"Best L1Ga Team:\", best(\"162\"))\n<\/code><\/pre>\n
Result: Pinnacle’s overround is 4.91%<\/strong>, with a no-vig fair line of 2.109 \/ 1.902<\/strong> (Power Rangers 47.4% to win, L1Ga 52.6%). The best available prices were 2.083 on Power Rangers<\/strong> and 1.887 on L1Ga<\/strong>, both at Polymarket and Kalshi. Notably the prediction markets were quoting above<\/em> Pinnacle’s price on both sides here, which is the best available price, not a guaranteed edge (early lines tighten as the match approaches and these markets are thin). Treat it as a line-shopping signal, not free money.<\/p>\n
Beyond the Moneyline<\/h3>\n
Dota 2 carries more than the match winner. The same nested parse works for Total Maps Over\/Under 2.5<\/strong> (market 163, the “will it go to game 3” line in a Bo3) and Maps Handicap<\/strong> (markets 1625 \/ 1637, the esports equivalent of an Asian handicap). On this fixture Pinnacle priced Total Maps Over 1.884 \/ Under 1.854. Build your market lookup live from \/markets?sportId=16<\/code> rather than hardcoding, the catalog is large and shifts per title.<\/p>\n
Free Historical Esports Odds<\/h2>\n
Backtesting an esports model? The same fixture exposes its full price history on \/historical-odds<\/code>, free. The response shape differs from the live endpoint: the top key is bookmakers<\/code> (not bookmakerOdds<\/code>), and players[\"0\"]<\/code> is a list<\/em> of timestamped snapshots, not a single price. Max three bookmakers per call.<\/p>\n
h = requests.get(f\"{BASE_URL}\/historical-odds\",\n                 params={\"apiKey\": API_KEY, \"fixtureId\": fid,\n                         \"bookmakers\": \"pinnacle,polymarket,kalshi\"}).json()\n\nsnaps = h[\"bookmakers\"][\"pinnacle\"][\"markets\"][\"161\"][\"outcomes\"][\"161\"][\"players\"][\"0\"]\nfor s in snaps[:5]:\n    print(s[\"createdAt\"], s[\"price\"])\n<\/code><\/pre>\n
That is line-movement data Abios reserves for its paid Enterprise tier, given away on the free key.<\/p>\n
Where Abios Genuinely Wins<\/h2>\n
To keep this honest: if you are building a live esports product that needs in-game telemetry, KDA, gold differentials, item timings, map control, hero picks, Abios (or PandaScore<\/a>) is the right tool and OddsPapi is not. We aggregate prices, not match state. Abios also carries official rights-holder data and broader title coverage with deep stats. If your job is running a trading desk, that telemetry is the input you price against.<\/p>\n
But if you are a developer, modeler, or sharp bettor who needs the odds<\/em>, the prices to shop, the sharp line to benchmark, the history to backtest, you do not need an enterprise contract or a sales call. You need a free key<\/a>.<\/p>\n
FAQ<\/h2>\n
Is there a free Abios API?<\/h3>\n
No. Abios does not advertise a free tier, public trial, or self-serve sign-up. Access is sales-gated through a “Get in contact” form, and it is owned by Kambi. For free, self-serve esports odds<\/em>, OddsPapi offers an instant API key with no card required.<\/p>\n
Does OddsPapi provide esports player stats like Abios?<\/h3>\n
No. OddsPapi is an odds aggregator, not a stats feed, so it does not ship in-game telemetry (KDA, gold, positions). It provides the betting market: real-time and historical odds across 372 bookmakers for the fixtures that books price.<\/p>\n
Which esports does OddsPapi cover?<\/h3>\n
Dota 2 (16), Counter-Strike 2 (17), League of Legends (18), Valorant (61), and Call of Duty (56), among others. Odds availability tracks the competitive calendar, so discover fixtures live with hasOdds<\/code> rather than assuming a title is in season.<\/p>\n
What bookmakers price esports on OddsPapi?<\/h3>\n
It varies by tournament tier. Top-tier events like The International draw a mix of Pinnacle (sharp), prediction markets (Polymarket, Kalshi), and US\/AU sportsbooks. Smaller tournaments carry fewer books.<\/p>\n
Can I get historical esports odds for backtesting?<\/h3>\n
Yes, free. The \/historical-odds<\/code> endpoint returns the full timestamped price history for a fixture (up to three bookmakers per call), with players[\"0\"]<\/code> as a list of snapshots.<\/p>\n
Stop Waiting on a Sales Call<\/h2>\n
Abios is a serious esports data platform, but it is built for operators with budgets and procurement cycles. If you just need esports odds in JSON, sharp prices, prediction-market lines, and free history, you can have them in the next five minutes. Get your free OddsPapi API key<\/a><\/strong> and pull your first live esports line today.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Abios is sales-gated with no free tier. Get live esports odds from Pinnacle, Polymarket & 372 books with a free OddsPapi key. Python tutorial.<\/p>\n","protected":false},"author":2,"featured_media":3096,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[47,13,8,9,11],"class_list":["post-3095","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-how-to-guides","tag-comparison","tag-esports","tag-free-api","tag-odds-api","tag-python"],"yoast_head":"\nAbios API Alternative: Free Esports Odds from Pinnacle, Polymarket & 350+ Books | OddsPapi Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/oddspapi.io\/blog\/abios-esports-api-alternative\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Abios API Alternative: Free Esports Odds from Pinnacle, Polymarket & 350+ Books | OddsPapi Blog\" \/>\n<meta property=\"og:description\" content=\"Abios is sales-gated with no free tier. 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