EDUCATED BETS
Toronto Blue Jays vs San Francisco Giants — model receipt, July 8, 2026
The Toronto Blue Jays defeated the San Francisco Giants 10-0 on July 8. The AI model logged 10 calls before tip-off, with 3 graded as wins and 7 as losses.
Final: Toronto Blue Jays 10 — San Francisco Giants 0
Every one of these calls was logged before tip-off and graded automatically when the game ended — the full record, wins and losses, stays public.
Model record on this game: 3-7
Game lines
- ✗ LOSS San Francisco Giants (+104)
Player props (top 8 by model confidence)
- ✗ LOSS Vladimir Guerrero Jr. Under 1.5 Total Bases (-169)
- ✓ WIN Alejandro Kirk Under 1.5 Total Bases (-210)
- ✗ LOSS George Springer Under 1.5 Total Bases (-170)
- ✗ LOSS Nathan Lukes Under 1.5 Total Bases (-209)
- ✗ LOSS Andres Gimenez Under 0.5 Total Bases (+115)
- ✗ LOSS Vladimir Guerrero Jr. Under 0.5 RBIs (-250)
- ✗ LOSS George Springer Under 0.5 RBIs (-250)
- ✓ WIN Luis Arraez Under 1.5 Total Bases (-201)
More: Toronto Blue Jays predictions · San Francisco Giants predictions · today's MLB board
Frequently asked questions
How did the Educated Bets model do on Toronto Blue Jays vs San Francisco Giants?
Our AI model went 3-7 on this MLB game. Every pick was logged before first pitch on July 8, 2026 and graded automatically against the box score — wins and losses both stay public.
Are Educated Bets picks free?
Yes. You can see the full model board free with an account — no card required. Every call is logged before tip-off and graded in public.
How does the model make its predictions?
It prices each game and player prop against the market using recency-weighted player form, matchup, pace and park, then calibrates to the real historical hit rate for that league.
No card required. Every pick logged before tip-off and graded in public.