AI MLB picks yesterday
Yesterday's record: the AI consensus picked the right result in 1 of 2 games (50%). We publish the misses too, and the AI leaderboard grades every model.
MLB
MLB hub →-
New York Yankees vs Tampa Bay Rays
Thu 00:00 UTC✗ Result wrongFinal score: New York Yankees 3–4 Tampa Bay Rays. Before kickoff, 10 of 10 AI models pick New York Yankees to win (100%); the consensus was wrong. The AI predicted score was 6–4.
Full breakdown, form and head-to-head → -
San Diego Padres vs Milwaukee Brewers
Thu 02:00 UTC✓ Result rightFinal score: San Diego Padres 1–3 Milwaukee Brewers. Before kickoff, 7 of 10 AI models pick Milwaukee Brewers to win (70%); the consensus was right. The AI predicted score was 4–5.
Full breakdown, form and head-to-head →
How these MLB computer picks are made
Every fixture on this page was run through the same panel of independent AI models. Each model returns a winner and a scoreline; we publish the vote split, the mean predicted score and the average confidence, then grade every model once the result is in. Open any match for recent form, head-to-head history and the full model table, or ask the council your own question.
Think of them as computer picks built from language models instead of a single formula: ten AI models read the same form, injuries and head-to-head data and pick each game straight up. When they all agree, the pick has historically been far more reliable than a split vote. Every model's record is public on the AI prediction leaderboard. Not betting advice.