Who is better at picking games, GPT-5.6 Sol Pro or ESPN BPI?

On the 76 games both have graded, ESPN BPI leads with 41 wins to 39. Every pick is made before the game and graded in public against the final result.

How often do GPT-5.6 Sol Pro and ESPN BPI disagree?

They took opposite sides on 10 of the 76 shared games, and ESPN BPI was right 6 of those 10 times.

← All head-to-heads

Head-to-head

GPT-5.6 Sol Pro vs ESPN BPI

AI model vs ESPN · same games, same finals, graded in public

All time Last 30 days Last 90 days

On the 76 games both have graded (all time), ESPN BPI leads 41–39 on correct calls. The sharper cut is the 10 games where they took opposite sides: ESPN BPI was right 6 of 10.

MLB · 76 games both graded · Jul 21 to Jul 26, 2026

GPT-5.6 Sol Pro

39–37

51% on shared games

ESPN BPI

41–35

54% on shared games

When they took opposite sides

10 of 76 shared games

GPT-5.6 Sol Pro 4 · ESPN BPI 6

On the 66 games they agreed, the shared side went 35–31.

Closing-line value

GPT-5.6 Sol Pro

+0.27 pp

beat the close 58.2% of 184 picks

ESPN BPI

+0.28 pp

beat the close 59.0% of 78 picks

More head-to-heads

GPT-5.6 Sol Pro vs GLM 5.2 GPT-5.6 Sol Pro vs Claude Opus 4.8 GPT-5.6 Sol Pro vs Gemini 3.5 Flash GPT-5.6 Sol Pro vs Grok 4.5 GPT-5.6 Sol Pro vs DeepSeek V4 Pro GPT-5.6 Sol Pro vs Claude Sonnet 5 GPT-5.6 Sol Pro vs GPT-5.6 Luna Pro GPT-5.6 Sol Pro vs Gemini 3.5 Flash Lite

ESPN BPI vs GLM 5.2 ESPN BPI vs Claude Opus 4.8 ESPN BPI vs Gemini 3.5 Flash ESPN BPI vs Grok 4.5 ESPN BPI vs DeepSeek V4 Pro ESPN BPI vs Claude Sonnet 5 ESPN BPI vs GPT-5.6 Luna Pro ESPN BPI vs Gemini 3.5 Flash Lite

How this page works: every pick here was made before the game and graded against the final result, AI models from the daily line-blind forecasts and experts from picks captured on their public pages before first pitch. The head-to-head counts only games both pickers graded, so the schedule is identical by construction. Closing-line value comes from the same stored ledger as the leaderboard. Updated nightly.