MLB matchup analysis
Giants vs Pirates Prediction, Odds and Model Pick
Tuesday, September 1, 2026 at PNC Park · 6:40 PM ET
LyDia decision: Pass on Giants vs Pirates
The case for Pittsburgh Pirates
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
Giants 12, Pirates 13
How the analysis held up
Pittsburgh Pirates won, the side LyDia's model favored.
Paul Skenes (Pittsburgh Pirates), the starter LyDia's pitcher score favored, actually outpitched Logan Webb: 4.2 IP, 5 ER (9.64 ERA) against 2.0 IP, 9 ER (40.50 ERA). The edge held up. Neither starter actually pitched well tonight, though — this is a smaller-of-two-bads comparison, not a starter who dealt.
The San Francisco Giants bullpen was flagged as elevated risk pregame (Tired). In relief it actually allowed 3 earned runs over 6.2 innings (4.05 ERA) — the risk read did not show up on the scoreboard tonight. Note: 1 of the runs charged to the San Francisco Giants pitching staff overall was unearned — not something the bullpen's stuff should be blamed for.
The Pittsburgh Pirates bullpen was not flagged pregame, but it had a night worth noting: 7 earned runs allowed over 4.1 relief innings (14.54 ERA) — quietly worse than the pregame read implied.
Game information
| Matchup | San Francisco Giants at Pittsburgh Pirates |
|---|---|
| Date | Tuesday, September 1, 2026 |
| First pitch | 6:40 PM ET |
| Venue | PNC Park |
| Starting pitchers | Logan Webb vs Paul Skenes |
| Weather | Game-time forecast: 82°F, 2% precipitation chance, 6 mph wind from SW. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Giants | Pirates |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 6 | 5⅓ |
| Throws | R | R |
| LyDia pitcher score (higher is better) | 66 | 70 |
| ERA (lower is better) | 4.21 | 3.97 |
| WHIP (lower is better) | 1.16 | 1.16 |
| K/9 (higher is better) | 7.2 | 10.8 |
| K-BB% (higher is better) | 13.0% | 21.8% |
| K% (higher is better) | 19.2% | 28.9% |
| BB% (lower is better) | 6.1% | 7.1% |
| BB/9 (lower is better) | 2.3 | 2.6 |
| HR/9 (lower is better) | 0.7 | 0.9 |
| Ground-ball rate | 58.9% | 43.6% |
| Fly-ball rate | 41.1% | 56.4% |
Pitcher edge: LyDia gives Paul Skenes a 4-point edge over Logan Webb, driven mainly by K/9 (10.8 vs 7.2) and K-BB% (21.8% vs 13.0%).
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 →Both sides arrive in similar form. Giants are 5-5 in their last 10 and averaging 4.1 runs per game over the last 15 days; Pirates are 5-5 in their last 10 and averaging 3.0 runs per game over the last 15 days. On the season Pirates carry the better run differential per game (+0.19 against -0.51).
| Metric | Giants | Pirates |
|---|---|---|
| Last 10 | 5-5 | 5-5 |
| Last 10 by venue (away team on the road, home team at home) | 2-8 on the road | 6-4 at home |
| OPS, last 15 days | 0.709 | 0.601 |
| wOBA, last 15 days (hot/cold read) | 0.314 | 0.272 |
| Runs per game, last 15 days | 4.1 | 3.0 |
| K% last 15 days (lower is better) | 25.1% | 28.0% |
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 | Giants | Pirates |
|---|---|---|
| OPS | 0.682 (-0.034 vs szn) | 0.656 (-0.080 vs szn) |
| Runs per game | 4.04 (-0.130 vs szn) | 3.93 (-0.981 vs szn) |
| wOBA (model offense input) | 0.304 (-0.011 vs szn) | 0.295 (-0.031 vs szn) |
| K% (lower is better) | 23.1% (+1.8% vs szn) | 27.3% (+2.7% vs szn) |
Over the last 30 days the Giants have been the better offense, 0.304 wOBA to 0.295. They are cooling off against their own season line (-0.011 wOBA). Pirates are striking out at 27.3% over the window — something the opposing starter can lean on.
Season profile
Full Stats page →| Metric | Giants | Pirates |
|---|---|---|
| Record | 57-81 | 67-71 |
| Run differential / game (team quality) | -0.51 | +0.19 |
| Runs scored / game (offense, season) | 4.17 | 4.91 |
| Runs allowed / game (defense, season, lower better) | 4.68 | 4.71 |
| Season OPS | 0.713 | 0.733 |
| K% season (lower is better) | 21.3% | 24.5% |
| OPS vs opposing hand (season) | 0.734 | 0.757 |
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. Giants and Pirates 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 | Giants | Pirates |
|---|---|---|
| Fatigue | 6.7/10, Tired | 8.0/10, Tired |
| Efficiency | 4.4/10, Below average | 7.3/10, Effective |
| Combined risk | 7.0/10, Tired | 6.9/10, Tired |
| Relief innings, last 7 days | 31.3 | 19.3 |
| Back-to-back arms | 4 | 7 |
| 7-day ERA | 4.88 | 1.40 |
| 7-day WHIP | 1.40 | 0.88 |
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 projects 3.2 runs below the market total. A research lean still requires a setup rating of at least 7.0/10. Team totals remain research-only until their graded sample is established.
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