Model-generated · Publicly graded
Free ML-Powered Sports Predictions
Machine-learning picks for MLB, NBA, NHL, and NCAAB — spread, total, and moneyline with a confidence rating. Every pick is graded against the final score and published, wins and losses alike.
3,434 picks graded in public
41,019 games in our history database
4 of 5 recent models rejected by our own gates
100% of results published — no removals
NBA 7
View all NBA picks 7:00 PM
114 113
LA 38-36 (21-15)
Indiana 16-58 (10-27)
SPR TOT -8.5
O 235.5 +8.5 to +4.6
U 235.5 to 226.6
7:30 PM
102 109
Atlanta 41-32 (21-16)
Boston 48-24 (25-11)
SPR TOT +4.5
O 223.5 to 231.7 -4.5
U 223.5
8:00 PM
113 131
Chicago 29-43 (18-20)
Oklahoma City 57-16 (29-6)
SPR TOT +18.5 to +7.9
O 241.5 -18.5
U 241.5
8:30 PM
106 119
New Orleans 25-49 (16-22)
Toronto 40-32 (19-16)
SPR TOT +8.5 to +5.4
O 229.5 -8.5
U 229.5
9:00 PM
129 135
Utah 21-52 (13-25)
Denver 46-28 (22-13)
SPR TOT +19.5 to +6
O 247.5 -19.5
U 247.5 to 239.4
NHL 1
View all NHL picksNCAAB 1
View all NCAAB picksFrom Our Data Desk
All guides → data analysis
Home Advantage, Measured Across 41,000 Games
We measured home win rate and margin across four sports in our history database. College basketball's home edge is enormous; MLB's is nearly zero.
our modelWe Rejected 4 of Our Last 5 Models. Here's Why That's the Point
In July 2026 we tested five model candidates against strict holdout gates. Four failed. Here's the process, the numbers, and why we're publishing the losses.
data analysisMLB Park Factors, Measured: What 1,400 Games Say About Every Ballpark
We measured run scoring in all 30 MLB parks across the 2026 season. Coors isn't even the highest — here's what actually matters for totals bettors.