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I rebuilt 0xinsider around Polymarket sports and esports data
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For agents: Personal blog of Trevor Las about building 0xinsider, a Polymarket analytics site for sports and esports, plus agent discovery (ARD) and MCP notes.
polymarket analyticssports esports dataagentic resource discoverynextjs blog0xinsider
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The beginning of the file, from our validated copy saved 2026-10-21T18:23:00.718Z. Cached copy (size limited) · Source on trevorlasn.com
Written by Trevor Indrek Lasn @ trevorlasn.com
--- title: I rebuilt 0xinsider around Polymarket sports and esports data description: 0xinsider is now Polymarket analytics for sports and esports. What 149,700 wallets and 411,770 large buys say, with every query public. topics: ['prediction markets', 'tech'] ---
# I rebuilt 0xinsider around Polymarket sports and esports data
I'm building [0xinsider](https://0xinsider.com) because I love data, and Polymarket has some of the best public data I've worked with. Every trade is tied to a wallet. Every fill settles on chain. Every market ends in a hard yes or no.
That's millions of decisions with money behind them and a known answer at the end. I don't know another dataset like it.
0xinsider started in February as a live feed of large trades on Polymarket and Kalshi. It's now analytics for Polymarket sports and esports markets, because sports markets settle every day, and a market that settles is a data point with an answer. Kalshi is gone. Its trades are anonymous, so there's no wallet to follow.
Here's the dataset today:
None of it arrives clean. Raw fills aren't positions. You have to match entries to exits, handle splits, merges and redemptions, and mark every open position to market every day.
I got that wrong for a while. My first P&L rollup added up per-market rows, and on some wallets it overstated the total by 7 to 10 times, sometimes with the wrong sign. Realized P&L now comes from Polymarket's own position accounting, and I [wrote up](https://0xinsider.com/research/polymarket-leaderboard-pnl-recomputed) why two tools can disagree on the same wallet.
The first thing I wanted to know was whether the prices are even wrong. Mostly, they aren't.
Across 411,770 large sports buys worth $8.2 billion, people paid 60.6¢ on average and their side won 60.7% of the time. That's a miss of two hundredths of a point. The one range that clearly loses is under 10¢, where long shots paid 6.5¢ and won 3% of the time.
Sports turned out to be the well-priced part of Polymarket. Large buys outside sports miss their price by 6 to 10 points in most ranges.
So if the prices are that good, who's making money? Not most people.
Of the 36,149 wallets with 20 or more settled sports markets, 48.8% are in profit and the median wallet is down $8. The top 1%, 362 wallets, hold 68% of all the profit. The bottom 10% lost $401 million between them.
That gap is what 0xinsider's grades try to measure. Every tracked wallet gets a grade from S to F, rebuilt every day from its settled P&L, and realized profit is about 95% of it.
A grade like that is easy to compute and easy to fool yourself with. Win rate is the classic trap. A wallet that only buys at 85¢ wins about 85% of the time and has shown no skill at all. The number that holds up is the gap between how often your side won and the price you paid for it.
So I tested it on 67,531 buys of $10,000 or more, using the grade each wallet already held on the day it trad
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