Model accuracy

Every model, every market, every league, with the sample size behind each figure. Markets currently losing money are shown alongside the ones that are not, because a record that only reports its wins is not a record.

Resolved 2026-10-13 22:06 UTCModels last trained 2026-10-13 02:04 UTC Download CSV
  • 16,279matches indexed
  • 453teams tracked
  • 230tournaments
  • 33,980predictions graded

How to read this page

Each cell shows the hit rate, the picks behind it as correct out of total, the return on a flat one-unit stake at the market price, and the Brier score. A dash means no graded picks in that combination, which is not the same as a zero.

Brier is the mean squared error of the stated probability against what actually happened, so lower is better and 0.250 is what saying 50% every time would score. Every figure in these tables, Brier included, is measured over the value picks we published, not over every probability the models produced - the published set is deliberately the high-edge end of it. Hit rate and return can disagree: a model can be right often at short prices and still lose money, or be right less often at generous prices and profit. Both are shown because neither is sufficient alone.

How these numbers are produced

By market

All leagues combined, excluding those flagged low-accuracy for having too few graded results to be meaningful.

Model performance by market: hit rate, picks, return on a flat one-unit stake, and Brier score.
MarketFastTreeLightGBMPCA SweepConsensus
Series Winner63%82/131+32.1%B 0.23059%46/78+25.4%B 0.22561%44/72+14.6%B 0.22860%35/58+42.2%B 0.235
Game Winner64%118/184+14.6%B 0.22064%115/181+17.1%B 0.24065%99/152+17.0%B 0.22765%115/178+18.8%B 0.230
Series Handicap Winner53%46/86+10.5%B 0.25064%30/47+20.6%B 0.22155%44/80+6.2%B 0.24155%49/89+15.3%B 0.247
Total Maps71%10/14+55.1%B 0.20588%14/16+73.2%B 0.17587%13/15+75.8%B 0.20590%9/10+110.2%B 0.217
Exact Score37%64/171+49.1%B 0.22736%42/118+25.7%B 0.23836%62/172+48.2%B 0.23035%60/170+38.7%B 0.219
Series Total Kills (Prelive)64%96/150+17.1%B 0.23966%78/118+21.0%B 0.22971%44/62+29.9%B 0.21469%49/71+26.3%B 0.222
Game Total Kills (Prelive)67%69/103+23.8%B 0.22767%58/86+25.0%B 0.22969%71/103+27.3%B 0.22071%52/73+31.5%B 0.220
Game Total Kills (After Draft)66%121/183+21.0%B 0.22863%120/191+15.2%B 0.23361%113/185+12.3%B 0.24166%111/169+20.3%B 0.227
Player Total Kills (Prelive)66%58/88+30.9%B 0.22867%58/86+31.8%B 0.21967%56/84+30.5%B 0.21667%56/84+30.9%B 0.217
Player Total Kills (After Draft)67%37/55+33.8%B 0.20969%38/55+39.5%B 0.21471%39/55+41.8%B 0.20467%37/55+32.8%B 0.212

By league

Match-winner markets only, series and per-game combined. The other markets are in the table above, where their different sample sizes can be compared directly.

Match-winner performance by league: hit rate, picks, return on a flat one-unit stake, and Brier score.
LeagueFastTreeLightGBMPCA SweepConsensusLatest
CBLOL69%35/51+15.6%B 0.20465%34/52+14.6%B 0.22266%29/44+11.0%B 0.20568%38/56+17.6%B 0.2102026-10-03
LCS68%30/44+9.3%B 0.20264%35/55+6.2%B 0.25476%44/58+23.3%B 0.20069%31/45+15.1%B 0.2312026-10-04
EMEA Masters44%15/34+41.1%B 0.30142%13/31+21.5%B 0.28532%7/22+3.5%B 0.33141%9/22+43.3%B 0.3352026-10-13
MSI48%13/27+60.1%B 0.28852%16/31+69.4%B 0.26453%10/19+32.7%B 0.28748%12/25+66.2%B 0.2802026-07-12
LEC63%26/41+5.7%B 0.216—63%22/35+1.3%B 0.230—2026-09-12
LES71%5/7+11.9%B 0.17771%22/31+18.2%B 0.211—73%24/33+14.1%B 0.1832026-09-06
LCK69%11/16+16.0%B 0.19578%14/18+4.9%B 0.13369%11/16+15.1%B 0.18769%9/13+1.3%B 0.1772026-09-06
CD68%21/31+9.0%B 0.22775%9/12+21.0%B 0.17378%7/9+29.3%B 0.17989%8/9+45.3%B 0.1502026-09-08
WSCI31%4/13+27.2%B 0.30429%2/7+15.7%B 0.32729%2/7+15.7%B 0.30829%2/7+15.7%B 0.3102026-09-30
TCL67%6/9+34.6%B 0.232—78%7/9+43.0%B 0.21070%7/10+39.6%B 0.2282026-09-03
LFL75%9/12+7.3%B 0.16073%11/15+6.2%B 0.204——2026-09-02
LPL83%20/24+36.4%B 0.156———2026-08-28
NACL83%5/6+33.8%B 0.21671%5/7+8.0%B 0.287——2026-08-29
LCP———67%8/12+7.8%B 0.2202026-08-16
LJL——80%4/5+10.4%B 0.15150%2/4+6.3%B 0.2912026-06-03
All leagues63%200/315+21.9%B 0.22462%161/259+19.6%B 0.23564%143/224+16.2%B 0.22764%150/236+24.5%B 0.2312026-10-13

Figures describe past predictions that were published before their matches began and graded against scraped results. Past performance does not indicate future results. Predictions are generated by machine-learning models and do not guarantee outcomes. For informational purposes only; not financial advice.