MLB matchup analysis

Brewers vs Giants Prediction, Odds and Model Pick

Wednesday, July 29, 2026 at Oracle Park · 3:45 PM ET

Analysis still building. This page is available to users but is not submitted for search indexing until these inputs are complete: pitcher stats.
Pass

LyDia decision: Pass on Brewers vs Giants

Lab Rating
4.1/10
Model probability
62.5%
Market probability
50.6%
Model edge
+11.8%
Best moneyline
-104
Sportsbooks checked
9
LyDia model
62.5%
Market
50.6%

The case for Milwaukee Brewers

Market mispricing: +11.8%
LyDia makes Milwaukee Brewers 62.5% to win while the no-vig market says 50.6%. LyDia rates this side +11.8% better than the price implies, and that gap is why the game is on the board.
Bats are hot: +0.033 OPS
Milwaukee Brewers is outhitting its own season form over the last 15 days. Recent form is context, not a model input, but it points the same way here.

Why it is not official

Below the 72.0% official gate
Win probability is 62.5%. LyDia does not make a game official below 72.0%, no matter how good the price is. This is a value spot, not a high-confidence winner.
Setup quality below the bar
Lab Rating is 4.1/10, under the 8.0/10 required for an official pick.
Pitcher edge points the other way
San Francisco Giants has the better starter by 21 points, and that is not the side the model likes. When the model and the mound disagree, tread carefully.
The verdict LyDia passes. Starting pitcher edge conflicts with the model side.
Read the full model output

Starting pitcher edge conflicts with the model side.

Game information

MatchupMilwaukee Brewers at San Francisco Giants
DateWednesday, July 29, 2026
First pitch3:45 PM ET
VenueOracle Park
Starting pitchersThomas Pannone vs Logan Webb
WeatherGame-time forecast: 72°F, 0% precipitation chance, 10 mph wind from W.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Thomas PannoneBrewers · LHP
-ERA
-WHIP
-K/9
-K-BB%
vs
Logan WebbGiants · RHP
3.98ERA
1.12WHIP
7.1K/9
13.0%K-BB%
MetricBrewersGiants
Pitching planRole unknownTraditional starter
Expected innings4.56.3
ThrowsLR
LyDia pitcher score (higher is better)5071
BB/9 (lower is better)Not available2.3
HR/9 (lower is better)Not available0.7
Ground-ball rateNot available61.7%
IP per start (higher is better)Not available6.3

Pitcher edge: LyDia gives Logan Webb a 21-point edge over Thomas Pannone, driven mainly by expected innings (6.3 vs 4.5).

Bullpen game: LyDia weights each opener only for his expected innings. Aggregate bullpen fatigue, efficiency, and risk data cover the remaining innings.

How to read this: the scorecards show ERA, WHIP, K/9, and K-BB%. The table adds complementary traits without repeating them. Highlighted cells mark a gap big enough to matter. HR/9 is home runs allowed per nine innings. Ground-ball rate is neither good nor bad on its own: high ground-ball pitchers trade strikeouts for double plays and fewer home runs.

Strikeout Projections Full strikeout projections →

Logan Webb strikeouts
4.5 LyDia projected Ks
Official pick: UNDER 5.5K · -1.0K difference
Market 5.5K · O +124 / U -138 · 6 books

Projections are self-calibrated against graded results (96 graded starts). Official K picks require a 0.7+ strikeout edge, a posted price from at least two books, and a confirmed non-opener workload of at least four expected innings.

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

Brewers are 7-3 in their last 10, averaging 4.9 runs per game over the last 15 days, and swinging above their season form; Giants are 3-7 in their last 10, averaging 4.2 runs per game over the last 15 days, and hitting below their season form. On the season Brewers carry the better run differential per game (+1.36 against -0.56).

MetricBrewersGiants
Record67-4045-62
Last 107-33-7
Run differential / game (team quality)+1.36-0.56
Runs scored / game (offense)5.074.12
Runs allowed / game (defense, lower better)3.724.68
OPS, last 15 days0.7710.664
Season OPS0.7380.723
OPS change+0.033-0.059
Runs per game, last 15 days4.94.2
K% season (lower is better)20.9%21.1%
K% last 15 days20.8%25.2%
OPS vs opposing hand0.7600.691

Run differential and run environment come from the season standings; offense splits for all 30 teams live on the Stats page, including hot and cold streaks and the run environment table.

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

Brewers
Combined risk
4.5 Normal
Fatigue
5.0 Normal
Efficiency
6.1 Effective
Giants
Combined risk
5.3 Normal
Fatigue
5.8 Normal
Efficiency
6.0 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.

MetricBrewersGiants
Fatigue5.0/10, Normal5.8/10, Normal
Efficiency6.1/10, Effective6.0/10, Effective
Combined risk4.5/10, Normal5.3/10, Normal
Relief innings, last 3 days9.312.3
Back-to-back arms10
3-day ERA2.892.92
3-day WHIP1.071.14

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
7.8
Market total
7.5
Projected away runs
4.1
Projected home runs
3.7
Over price
-109
Under price
+100
Milwaukee Brewers team total
4.1 projected
Line 3.5 · O -130 / U +110
No team-total lean
San Francisco Giants team total
3.7 projected
Line 3.5 · O -110 / U -104
No team-total lean

The model and market are close. Team totals remain research-only until their graded sample is established.

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