MLB matchup analysis
Twins vs Giants Prediction, Odds and Model Pick
Tuesday, September 22, 2026 at Oracle Park · 9:45 PM ET
Leo decision: Pass on Twins vs Giants
The case for Minnesota Twins
The case for San Francisco Giants
Why it is not official
Why the setup score is what it is
Why the price is what it is
Read the full model output
The combined Lab Rating did not clear the official threshold.
Final result
Twins 3, Giants 2
How the analysis held up
Minnesota Twins won, the side Leo's model favored.
Leo's two internal reads disagreed pregame by 24.2 points — the team-strength model favored Minnesota Twins, the run-projection model favored San Francisco Giants. The team-strength model had the winner here.
Anthony Molina (No clear pitching-plan edge) was Leo's favored starter by pitcher score, but Taj Bradley actually pitched better tonight: 6.0 IP, 1 ER (1.50 ERA) against 6.0 IP, 2 ER (3.00 ERA). The edge did not show up in this game.
The San Francisco Giants bullpen was flagged as elevated risk pregame (High risk). In relief it actually allowed 1 earned run over 3.0 innings (3.00 ERA) — the risk read did not show up on the scoreboard tonight.
San Francisco Giants scored 2, 2.1 fewer than the 4.1 pregame projection.
Game information
| Matchup | Minnesota Twins at San Francisco Giants |
|---|---|
| Date | Tuesday, September 22, 2026 |
| First pitch | 9:45 PM ET |
| Venue | Oracle Park |
| Starting pitchers | Taj Bradley vs Anthony Molina |
| Weather | Game-time forecast: 59°F, 0% precipitation chance, 11 mph wind from W. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Twins | Giants |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 5⅔ | 4⅔ |
| Throws | R | R |
| Leo pitcher score (higher is better) | 67 | 64 |
| ERA (lower is better) | 3.81 | 4.18 |
| WHIP (lower is better) | 1.23 | 1.11 |
| K/9 (higher is better) | 10.4 | 8.0 |
| K-BB% (higher is better) | 17.4% | 16.7% |
| K% (higher is better) | 27.5% | 21.9% |
| BB% (lower is better) | 10.1% | 5.3% |
| BB/9 (lower is better) | 3.8 | 1.9 |
| HR/9 (lower is better) | 1.2 | 1.0 |
| Ground-ball rate | 40.1% | 41.4% |
| Fly-ball rate | 59.9% | 58.6% |
Pitcher edge: Leo gives Taj Bradley a 3-point edge over Anthony Molina, driven mainly by K/9 (10.4 vs 8.0) and expected innings (5.7 vs 4.7).
How to read this: the scorecards above name the starters; every number lives in this table.
Strikeout Projections Full strikeout projections →
Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.
Recent form
Full Stats page →Twins are 4-6 in their last 10 and averaging 3.4 runs per game over the last 15 days; Giants are 3-7 in their last 10 and averaging 4.5 runs per game over the last 15 days. Season run differential separates them by almost nothing (-0.42 against -0.52).
| Metric | Twins | Giants |
|---|---|---|
| Last 10 | 4-6 | 3-7 |
| Last 10 by venue (away team on the road, home team at home) | 4-6 on the road | 5-5 at home |
| OPS, last 15 days | 0.641 | 0.690 |
| wOBA, last 15 days (hot/cold read) | 0.285 | 0.306 |
| Runs per game, last 15 days | 3.4 | 4.5 |
| K% last 15 days (lower is better) | 23.2% | 26.3% |
Last 15 days only. Hot and cold streaks for all 30 teams live on the Stats page.
30-day offense
Full offense tool →| Last 30 days | Twins | Giants |
|---|---|---|
| OPS | 0.687 (-0.031 vs szn) | 0.724 (+0.011 vs szn) |
| Runs per game | 4.21 (-0.324 vs szn) | 4.97 (+0.769 vs szn) |
| wOBA (model offense input) | 0.304 (-0.013 vs szn) | 0.320 (+0.007 vs szn) |
| K% (lower is better) | 21.1% | 24.1% (+2.3% vs szn) |
Over the last 30 days the Giants have been the better offense, 0.320 wOBA to 0.304. Giants are striking out at 24.1% over the window — something the opposing starter can lean on.
Season profile
Full Stats page →| Metric | Twins | Giants |
|---|---|---|
| Record | 73-84 | 65-92 |
| Run differential / game (team quality) | -0.42 | -0.52 |
| Runs scored / game (offense, season) | 4.54 | 4.20 |
| Runs allowed / game (defense, season, lower better) | 4.96 | 4.72 |
| Season OPS | 0.718 | 0.713 |
| K% season (lower is better) | 21.2% | 21.9% |
| OPS vs opposing hand (season) | 0.738 | 0.733 |
Season-long team quality, not recent form. Run differential and run environment come from the season standings; splits for all 30 teams live on the Stats page, including the run environment table.
The Map
Full interactive map →Every team on today's slate, on any two axes you pick. Twins and Giants are highlighted.
Bullpen matchup
Full Bullpen Fatigue Index →Risk is what the model actually uses: fatigue blended with how well the pen has pitched. High fatigue with high efficiency is a tired pen that is still getting outs.
| Metric | Twins | Giants |
|---|---|---|
| Fatigue | 6.3/10, Tired | 8.1/10, Tired |
| Efficiency | 6.0/10, Effective | 3.4/10, Below average |
| Combined risk | 5.8/10, Normal | 8.9/10, High risk |
| Relief innings, last 7 days | 26.7 | 22.0 |
| Back-to-back arms | 6 | 7 |
| 7-day ERA | 2.36 | 5.73 |
| 7-day WHIP | 1.39 | 1.73 |
Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.
Run total projection
Full Totals Projections →The model and market are close. Team totals remain research-only until their graded sample is established.
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