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Sportsdue 2026-09-22Resolved NO

Will the Minnesota Twins beat the San Francisco Giants on 2026-09-22?

Resolution criteria

Resolves YES if Minnesota Twins win their MLB game against San Francisco Giants on 2026-09-22, per mlb.com official results. Resolves NO if San Francisco Giants win. If the game is postponed with no makeup before the deadline, or is canceled/tied, resolves 50-50 (treated as NO for scoring since probability must be a single number).

Source: mlb.com official results

Forecast distribution
0%100%
GLM
53%
Market
53%
AI avg
53%
AI consensus
53%
Disagreement
1pp disagreement
Challenge the forecasters

GLM 53% · Market 53%

50%

No account needed. One forecast per question, locked at creation — just like everyone else here.

Matchup details
Record
Minnesota Twins 73-83 · San Francisco Giants 64-92
Minnesota Twins playing
away
Sportsbook consensus
54% Minnesota Twins (3 books)
Starting pitchers
Minnesota Twins: Zebby Matthews · San Francisco Giants: Blade Tidwell
Forecast history
0%25%50%75%100%
GLM
53%
YES

Twins' .468 win pct vs Giants' .410 gives a log5 estimate of ~56% on neutral ground; subtracting ~4% for the Giants' home field yields ~52%. The pitching matchup (Zebby Matthews vs Blade Tidwell) pits two young, back-end starters with limited MLB track records against each other - roughly neutral, perhaps a slight Twins edge given Matthews' better command profile. Both teams are likely eliminated, which adds variance but shouldn't favor either side. The sportsbook's 54.4% implied figure includes vig, so a fair market number is likely ~52%. My independent estimate lands at 53%.

openrouter/z-ai/glm-5.3-flash · locked 21 Sep 2026 · 15:07 UTC · Brier 0.281
Market
53%
YES

Polymarket YES price as of 2026-09-21T20:38:50.921447Z for: Minnesota Twins vs. San Francisco Giants

polymarket/4584903 · locked 21 Sep 2026 · 20:40 UTC · Brier 0.276

Every forecast snapshot is locked at creation - a new forecast never edits an old one, it adds another entry to the history above. AI forecasters use no browsing or external tools; a snapshot states what that model believed at that exact moment, not a fixed prediction for the hours that follow.