MLB matchup analysis
Giants vs Red Sox Prediction, Odds and Model Pick
Sunday, August 23, 2026 at Fenway Park · 3:15 PM ET
LyDia prediction: Boston Red Sox moneyline
The case for Boston Red Sox
The case for San Francisco Giants
Why the setup score is what it is
Why the price is what it is
Read the full model output
Boston Red Sox remains on the watchlist. Lab Rating 7.8/10: conviction 7.52, pitching plan 9, bullpen 11.4, offense 50. LyDia projects 70.0% against a 79.1% no-vig market number, a -9.1% model edge at -500. Boston Red Sox owns the starting pitcher edge by 9 points. Bullpen read: Elevated volatility. Boston Red Sox's pen efficiency: Effective (7.0/10). Bullpen fatigue moved this probability down 19.8 points from 89.8% (starting pitcher and team strength only) to 70.0%. Pitching plan: Matt Wilkinson 2.8 IP + remaining bullpen 6.2 IP. Bullpen fatigue, efficiency, and combined risk grade only the innings assigned to the bullpen. Lineup check: Boston Red Sox is swinging a hot bat (+0.054 OPS); San Francisco Giants is in a cold stretch (-0.102 OPS). Recent form supports this side and is included in the unified run projection.
Final result
Giants 4, Red Sox 5
How the analysis held up
Boston Red Sox won, the side LyDia's model favored.
Jake Bennett (Boston Red Sox), the starter LyDia's pitcher score favored, actually outpitched Matt Wilkinson: 7.0 IP, 3 ER (3.86 ERA) against 3.2 IP, 4 ER (9.82 ERA). The edge held up.
The San Francisco Giants bullpen was not flagged pregame, but it had a night worth noting: 1 earned run allowed over 4.1 relief innings (2.08 ERA) — quietly better than the pregame read implied.
The Boston Red Sox bullpen was not flagged pregame, but it had a night worth noting: 0 earned runs allowed over 2.0 relief innings (0.00 ERA) — quietly better than the pregame read implied. Note: 1 of the runs charged to the Boston Red Sox pitching staff overall was unearned — not something the bullpen's stuff should be blamed for.
Game information
| Matchup | San Francisco Giants at Boston Red Sox |
|---|---|
| Date | Sunday, August 23, 2026 |
| First pitch | 3:15 PM ET |
| Venue | Fenway Park |
| Starting pitchers | Matt Wilkinson vs Jake Bennett |
| Weather | Game-time forecast: 67°F, 3% precipitation chance, 4 mph wind from E. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Giants | Red Sox |
|---|---|---|
| Pitching plan | Opener / bullpen game | Traditional starter |
| Expected innings | 3 | 6 |
| Throws | L | L |
| LyDia pitcher score (higher is better) | 41 | 72 |
| ERA (lower is better) | 6.35 | 3.49 |
| WHIP (lower is better) | 1.41 | 1.07 |
| K/9 (higher is better) | 3.2 | 6.9 |
| K-BB% (higher is better) | 8.0% | 13.9% |
| K% (higher is better) | 8.0% | 19.0% |
| BB% (lower is better) | 0.0% | 5.1% |
| BB/9 (lower is better) | 0.0 | 1.8 |
| HR/9 (lower is better) | 1.6 | 0.7 |
| Ground-ball rate | 33.3% | 45.2% |
| Fly-ball rate | 66.7% | 54.8% |
Pitching plan edge: LyDia gives Jake Bennett the edge over the San Francisco Giants pitching plan (9 points on LyDia's pitcher score). Matt Wilkinson is projected for only 3 innings, with the San Francisco Giants bullpen covering the rest -- this compares Jake Bennett's own line against the San Francisco Giants blended starting-pitcher-and-bullpen quality, not two starters directly.
Blended read: For the San Francisco Giants, the bullpen is projected to throw more of the game than Matt Wilkinson (about 3 innings for the starter), so LyDia grades that side on a whole-game effective ERA of 4.34 rather than Matt Wilkinson's own 6.35. Whole-game, that is 3.22 for the Boston Red Sox against 4.34 on the other side, so the blended read leans Boston Red Sox.
How to read this: the scorecards above name the starters; every number lives in this table. Highlighted cells mark a gap big enough to matter. K% and BB% are strikeout and walk rate as a share of batters faced -- K-BB% is the two combined into one skill number. HR/9 is home runs allowed per nine innings. Ground-ball and fly-ball rate are neither good nor bad on their own: high ground-ball pitchers trade strikeouts for double plays and fewer home runs, and on this data source the two rates are complementary (they add to 100%), not independent reads.
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 →Giants are 2-8 in their last 10, averaging 2.8 runs per game over the last 15 days, and hitting below their season form; Red Sox are 7-3 in their last 10, averaging 4.8 runs per game over the last 15 days, and swinging above their season form. On the season Red Sox carry the better run differential per game (+0.76 against -0.62).
| Metric | Giants | Red Sox |
|---|---|---|
| Last 10 | 2-8 | 7-3 |
| Last 10 by venue (away team on the road, home team at home) | 2-8 on the road | 7-3 at home |
| OPS, last 15 days | 0.607 | 0.785 |
| wOBA, last 15 days (hot/cold read) | 0.272 | 0.345 |
| Runs per game, last 15 days | 2.8 | 4.8 |
| K% last 15 days (lower is better) | 25.1% | 18.5% |
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 | Red Sox |
|---|---|---|
| OPS | 0.658 (-0.051 vs szn) | 0.815 (+0.084 vs szn) |
| Runs per game | 3.79 (-0.237 vs szn) | 5.62 (+1.090 vs szn) |
| wOBA (model offense input) | 0.294 (-0.017 vs szn) | 0.356 (+0.033 vs szn) |
| K% (lower is better) | 22.4% (+1.0% vs szn) | 20.0% (-1.4% vs szn) |
Over the last 30 days the Red Sox have been the better offense, 0.356 wOBA to 0.294. They are running hot against their own season line (+0.033 wOBA).
Season profile
Full Stats page →| Metric | Giants | Red Sox |
|---|---|---|
| Record | 52-78 | 71-59 |
| Run differential / game (team quality) | -0.62 | +0.76 |
| Runs scored / game (offense, season) | 4.02 | 4.53 |
| Runs allowed / game (defense, season, lower better) | 4.64 | 3.77 |
| Season OPS | 0.709 | 0.731 |
| K% season (lower is better) | 21.3% | 21.3% |
| OPS vs opposing hand (season) | 0.657 | 0.768 |
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 Red Sox 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 | Red Sox |
|---|---|---|
| Fatigue | 6.2/10, Tired | 6.3/10, Tired |
| Efficiency | 5.2/10, Average | 7.0/10, Effective |
| Combined risk | 6.1/10, Normal | 5.3/10, Normal |
| Relief innings, last 7 days | 28.3 | 28.0 |
| Back-to-back arms | 6 | 5 |
| 7-day ERA | 3.49 | 1.61 |
| 7-day WHIP | 1.48 | 1.04 |
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 2.3 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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