~/fragsight $
trade cs2 prediction markets using proprietary ml models trained on 14,328 parsed demos. detect mispriced markets, chain conditional orders, execute on polymarket — no manual intervention.
ml-powered match predictions
proprietary models predict round, map, and series outcomes more accurately than the market. round-by-round updates as the live demo streams.
trade the edge our models find
when fragsight's models diverge from polymarket prices, it chains conditional orders. react to map scores, round outcomes, and live odds — automatically.
three commands. one trading edge.
fragsight's ml models continuously analyze live match data and historical demos. when our predictions diverge from polymarket prices, we surface the edge in real time.
$ model.fit(demos.parse('*.dem'))chain triggers, buys, and sells into conditional order strategies — react to map scores, round outcomes, and live odds movements automatically.
$ strategy.chain([trigger, buy, sell])your strategy runs automatically on polymarket's clob. no manual intervention — fragsight monitors matches and executes when conditions hit.
$ strategy.deploy(wallet=user)built for traders who watch demos.
trained on thousands of parsed cs2 demos. our models predict round, map, and series outcomes — surfacing edges the market misses.
models retrain on the live demo stream. predictions update every round, every kill, every utility usage.
trade peer-to-peer on polymarket. no bookmaker margin — odds are set by the market, not the house.
your wallet, your funds. withdraw anytime, no minimums. built on polymarket's transparent, on-chain infrastructure.