MLB matchup analysis

Giants vs Red Sox Prediction, Odds and Model Pick

Saturday, August 22, 2026 at Fenway Park · 7:15 PM ET

Pass

LyDia decision: Pass on Giants vs Red Sox

Lab Rating
4.2/10
Model lean
Giants 71.6%
Market probability
34.7%
Model edge
+36.8%
Best moneyline
+189
Sportsbooks checked
9
LyDia model
71.6%
Market
34.7%

The case for San Francisco Giants

Starting pitcher edge: 14 points
LyDia gives Blade Tidwell a 14-point edge over Patrick Sandoval, driven mainly by WHIP (1.22 vs 1.85) and BB/9 (3.3 vs 4.2).

The case for Boston Red Sox

Their bats are hot: +0.031 wOBA
Boston Red Sox is outhitting its own season form over the last 15 days.
Team strength favors Boston Red Sox
Before any pitcher or bullpen adjustment, LyDia's own team-strength model has Boston Red Sox ahead (54.2% to 45.8%). The pick still comes from San Francisco Giants once the pitcher and bullpen terms are applied.

Why it is not official

Setup quality below the bar
Lab Rating is 4.2/10, under the 8.0/10 required for an official pick.
Own bullpen carries risk: 6.6/10
The San Francisco Giants bullpen comes in tired. A lead after six innings is less safe than usual.
Opponent is swinging it
The other lineup is +0.031 wOBA above its season form over the last 15 days.

Why the setup score is what it is

Conviction: 20/20
LyDia's win probability for San Francisco Giants (71.6%) is well clear of a coin flip -- this is a real, stated lean, not a guess.
Pitching plan: 14/20
Blade Tidwell rates 14 points better than Patrick Sandoval on LyDia's pitcher score. That is a real edge, and it earns most or all of the available credit here.
Bullpen: 8/20
LyDia does not see a meaningful bullpen edge for San Francisco Giants here.
Offense: 0/40
San Francisco Giants's recent form does not clearly outpace Boston Red Sox's.

Why the price is what it is

Team strength: 45.8%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes San Francisco Giants 45.8% to win. Everything below moves the price from this starting point.
Pitcher score gap: 14 points
The pitcher-score gap favors San Francisco Giants by 14 points. This is the biggest single mover of the price -- a large gap moves it a lot, a small gap barely moves it.
Bullpen adjustment: -0.027
The bullpen-fatigue gap between the two pens nudges the price toward Boston Red Sox. This moves the price less than the starting pitchers do, since a starter covers more of the game than the bullpen.
Net effect: 45.8% -> 71.6%
Team strength alone had San Francisco Giants at 45.8%. After the pitcher and bullpen terms, the price is 71.6% -- the same number shown as Model Lean above.
The verdict LyDia passes. The combined Lab Rating did not clear the official threshold.
Read the full model output

The combined Lab Rating did not clear the official threshold.

Game information

MatchupSan Francisco Giants at Boston Red Sox
DateSaturday, August 22, 2026
First pitch7:15 PM ET
VenueFenway Park
Starting pitchersBlade Tidwell vs Patrick Sandoval
WeatherGame-time forecast: 70°F, 4% precipitation chance, 5 mph wind from NE.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Blade TidwellGiants · RHP
vs
Patrick SandovalRed Sox · LHP
MetricGiantsRed Sox
Pitching planTraditional starterTraditional starter
Expected innings55
ThrowsRL
LyDia pitcher score (higher is better)5844
ERA (lower is better)4.334.76
WHIP (lower is better)1.221.85
K/9 (higher is better)6.79.3
K-BB% (higher is better)9.1%11.9%
K% (higher is better)18.2%21.9%
BB% (lower is better)9.1%10.0%
BB/9 (lower is better)3.34.2
HR/9 (lower is better)0.70.8
Ground-ball rate39.3%37.7%
Fly-ball rate60.7%62.3%

Pitcher edge: LyDia gives Blade Tidwell a 14-point edge over Patrick Sandoval, driven mainly by WHIP (1.22 vs 1.85) and BB/9 (3.3 vs 4.2).

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 →

Blade Tidwell strikeouts
2.9 LyDia projected Ks
No K play · -0.6K difference is below LyDia's 0.7K threshold
Market 3.5K · O -120 / U +105 · 6 books
Patrick Sandoval strikeouts
4.8 LyDia projected Ks
Qualifying projection: UNDER 5.5K · -0.7K difference
Market 5.5K · O -128 / U +118 · 6 books

Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.

Giants are 3-7 in their last 10, averaging 2.9 runs per game over the last 15 days, and hitting below their season form; Red Sox are 5-5 in their last 10, averaging 5.5 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 -0.61).

MetricGiantsRed Sox
Last 103-75-5
Last 10 by venue (away team on the road, home team at home)2-8 on the road7-3 at home
OPS, last 15 days0.6010.807
wOBA, last 15 days (hot/cold read)0.2690.353
Runs per game, last 15 days2.95.5
K% last 15 days (lower is better)25.4%18.0%

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 daysGiantsRed Sox
OPS0.659 (-0.051 vs szn)0.816 (+0.086 vs szn)
Runs per game3.85 (-0.193 vs szn)5.74 (+1.202 vs szn)
wOBA (model offense input)0.294 (-0.018 vs szn)0.356 (+0.034 vs szn)
K% (lower is better)22.3% (+1.0% vs szn)20.1% (-1.3% 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 (+0.034 wOBA).

Season profile

Full Stats page →
MetricGiantsRed Sox
Record52-7669-59
Run differential / game (team quality)-0.61+0.76
Runs scored / game (offense, season)4.044.54
Runs allowed / game (defense, season, lower better)4.653.78
Season OPS0.7100.730
K% season (lower is better)21.3%21.4%
OPS vs opposing hand (season)0.6570.719

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.

Every team on today's slate, on any two axes you pick. Giants and Red Sox are highlighted.

Giants
Combined risk
6.6 Tired
Fatigue
7.1 Tired
Efficiency
6.1 Effective
Red Sox
Combined risk
5.7 Normal
Fatigue
6.8 Tired
Efficiency
7.2 Effective

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.

MetricGiantsRed Sox
Fatigue7.1/10, Tired6.8/10, Tired
Efficiency6.1/10, Effective7.2/10, Effective
Combined risk6.6/10, Tired5.7/10, Normal
Relief innings, last 7 days28.726.7
Back-to-back arms66
7-day ERA2.511.69
7-day WHIP1.220.86

Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.

Run total projection

Full Totals Projections →
LyDia projection
6.1
Market total
8.0
Projected away runs
2.6
Projected home runs
3.4
Over price
-108
Under price
-102
San Francisco Giants team total
2.6 projected
Line 3.5 · O +114 / U -135
Under research lean (-0.9)
Boston Red Sox team total
3.4 projected
Line 4.5 · O -111 / U -110
Under research lean (-1.1)

The model projects 1.9 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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