The numbers, live.

Name: Pick1 AI sports prediction public ledger
Creator: Pick1
License: https://creativecommons.org/licenses/by/4.0/

Straight from Pick1's public ledger. Updates as new picks are graded. Tier breakdown shows whether the model's confidence calibration is real.

Total picks

461

Wins

291

Losses

170

Overall win rate

63.1%

By league

League	Picks	Wins	Losses	Win rate	High conf	Med conf	Recent
ATP	172	118	54	68.6%	90.9%	66.1%	—
UFC	92	47	45	51.1%	57.1%	38.9%	—
NFL	27	10	17	37.0%	—	71.4%	—
MLB	21	15	6	71.4%	—	100.0%	—
T20I	20	10	10	50.0%	—	50.0%	—
BUNDESLIGA	20	18	2	90.0%	—	92.3%	—
EPL	19	13	6	68.4%	100.0%	75.0%	—
LALIGA	17	11	6	64.7%	—	100.0%	—
SERIEA	16	15	1	93.8%	100.0%	85.7%	—
AFL	12	8	4	66.7%	100.0%	66.7%	—
NCAAF	12	10	2	83.3%	83.3%	83.3%	—
MLS	8	3	5	37.5%	—	50.0%	—
KHL	6	2	4	33.3%	—	—	—
KBO	4	2	2	50.0%	—	—	—
GOLF	3	3	0	100.0%	100.0%	—	—
LIGAMX	3	1	2	33.3%	—	0.0%	—
UCL	2	1	1	50.0%	—	—	—
F1	2	1	1	50.0%	—	—	—
LIGUE1	2	1	1	50.0%	—	—	—
IPL	2	1	1	50.0%	—	—	—
WNBA	1	1	0	100.0%	—	—	—

How to read these numbers

Win rate is wins / (wins + losses), pushes excluded. High conf = picks published with ≥80% AI confidence. Med conf = 65–79%. Recent = trailing 30 days. A well-calibrated model wins more often at higher confidence — if those columns are flat, the model is mis-priced.