Golden Picks

Tennis

The live ledger (graded picks, never re-graded) and the model's own learning on 8154 held-back matches.

2033graded picks
54.2%win rate (1102-931)
72.4%60%+ win rate (223-85)
63.6%backtest accuracy
K 32rating speed (candidate not promoted)
315voided (lineup changed)
Weekly win rate: all picks vs 60%+ picks88.9%67.6%46.3%08-3110-0511-09All picks60%+ picks
Weekly win rate: all picks vs 60%+ picks

All picks 60%+ picks

Learning curve: hit rate over the last 200 graded picks100%71.3%42.5%09-0110-0511-11Rolling 200
Learning curve: hit rate over the last 200 graded picks
Tennis paper net worth (cumulative units by week)+19.69u-0.58u-20.85u08-3110-0511-09All picks60%+ picks
Tennis paper net worth (cumulative units by week)

All picks 60%+ picks

Calibration: stated conviction vs live hit rate

BandPicksStatedHit
50%–60%165251.6%50.2%
60%–70%27064.1%67%
70%–80%8873.8%83%
80%–100%2384%78.3%

Backtest bins

BandMatchesHit
50%–60%323253.9%
60%–70%254463.1%
70%–80%157474%
80%–90%64982%
90%–100%15592.9%

Edges (95% interval)

EdgenRateIntervalVerdict
favourite643159.1%57.9%–60.3%advantage
rest368951.5%49.9%–53.1%no edge
streak97446%42.9%–49.1%disadvantage

Ladder · top 20

#PlayerRatingW-LForm
1Jannik Sinner atp2271173-16LWWWWWWW
2Carlos Alcaraz atp2192161-27WWWWWWWW
3Aryna Sabalenka wta2117169-38WWLWLLWL
4Elena Rybakina wta2109149-47WLWWWWWL
5Iga Swiatek wta2084153-39WWWLWWWL
6Coco Gauff wta2081144-48WWLWWLWL
7Jessica Pegula wta2060139-52WWWWLLLW
8Mirra Andreeva wta2041128-48WWWWWLWW
9Alexander Zverev atp2027179-58WWLWWWLL
10Linda Noskova wta2000104-57WWLWWLWW
11Novak Djokovic atp199796-30WWWLWLWL
12Elina Svitolina wta1990111-49WWLWWLLW
13Karolina Muchova wta198486-37WWWLWLLL
14Amanda Anisimova wta198093-45LWWWLWWL
15Victoria Mboko wta197654-22WWWLWWLL
16Madison Keys wta196597-42LWWWLWWL
17Zheng Qinwen wta196393-43LWWWWWWW
18Naomi Osaka wta196287-47WWLWWLWL
19Marta Kostyuk wta195797-54WLWLLLLL
20Diana Shnaider wta1953123-70WWWLWWWW