MLB matchup analysis
Brewers vs Mets Prediction, Odds and Model Pick
Wednesday, August 26, 2026 at Citi Field · 7:10 PM ET
LyDia prediction: Milwaukee Brewers moneyline
The case for Milwaukee Brewers
The case for New York Mets
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
Milwaukee Brewers remains on the watchlist. Lab Rating 6.5/10: conviction 8.67, pitching plan 30, bullpen 4.04, offense 22.54. LyDia projects 72.3% against a 59.0% no-vig market number, a 13.3% model edge at -154. Milwaukee Brewers owns the starting pitcher edge by 20 points. Bullpen read: Elevated volatility. Milwaukee Brewers's pen efficiency: Effective (5.5/10). Pitching plan: Robert Stock 4.2 IP + remaining bullpen 4.8 IP. Bullpen fatigue, efficiency, and combined risk grade only the innings assigned to the bullpen. Lineup check: Milwaukee Brewers is near its season form (-0.007 OPS); New York Mets is a touch above its season form (+0.030 OPS).
Game information
| Matchup | Milwaukee Brewers at New York Mets |
|---|---|
| Date | Wednesday, August 26, 2026 |
| First pitch | 7:10 PM ET |
| Venue | Citi Field |
| Starting pitchers | Dustin May vs Robert Stock |
| Weather | Game-time forecast: 75°F, 0% precipitation chance, 9 mph wind from S. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Brewers | Mets |
|---|---|---|
| Pitching plan | Traditional starter | Limited starter |
| Expected innings | 5⅓ | 4⅓ |
| Throws | R | R |
| LyDia pitcher score (higher is better) | 60 | 40 |
| ERA (lower is better) | 4.57 | 5.40 |
| WHIP (lower is better) | 1.30 | 1.68 |
| K/9 (higher is better) | 8.6 | 10.3 |
| K-BB% (higher is better) | 14.5% | 9.9% |
| K% (higher is better) | 22.6% | 23.5% |
| BB% (lower is better) | 8.0% | 13.6% |
| BB/9 (lower is better) | 3.0 | 5.9 |
| HR/9 (lower is better) | 0.7 | 0.5 |
| Ground-ball rate | 47.0% | 32.3% |
| Fly-ball rate | 53.0% | 67.7% |
Pitcher edge: LyDia gives Dustin May a 20-point edge over Robert Stock, driven mainly by BB/9 (3.0 vs 5.9) and WHIP (1.30 vs 1.68).
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 →Brewers are 6-4 in their last 10 and averaging 5.0 runs per game over the last 15 days; Mets are 7-3 in their last 10 and averaging 3.5 runs per game over the last 15 days. On the season Brewers carry the better run differential per game (+1.21 against -0.30).
| Metric | Brewers | Mets |
|---|---|---|
| Last 10 | 6-4 | 7-3 |
| Last 10 by venue (away team on the road, home team at home) | 4-6 on the road | 6-4 at home |
| OPS, last 15 days | 0.726 | 0.729 |
| wOBA, last 15 days (hot/cold read) | 0.323 | 0.320 |
| Runs per game, last 15 days | 5.0 | 3.5 |
| K% last 15 days (lower is better) | 22.5% | 22.2% |
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 | Brewers | Mets |
|---|---|---|
| OPS | 0.704 (-0.029 vs szn) | 0.754 (+0.055 vs szn) |
| Runs per game | 4.33 (-0.606 vs szn) | 4.50 (+0.341 vs szn) |
| wOBA (model offense input) | 0.315 (-0.009 vs szn) | 0.331 (+0.021 vs szn) |
| K% (lower is better) | 23.7% (+2.1% vs szn) | 23.2% (+0.6% vs szn) |
Over the last 30 days the Mets have been the better offense, 0.331 wOBA to 0.315. They are running hot against their own season line (+0.021 wOBA).
Season profile
Full Stats page →| Metric | Brewers | Mets |
|---|---|---|
| Record | 81-51 | 60-72 |
| Run differential / game (team quality) | +1.21 | -0.30 |
| Runs scored / game (offense, season) | 4.94 | 4.16 |
| Runs allowed / game (defense, season, lower better) | 3.73 | 4.45 |
| Season OPS | 0.733 | 0.699 |
| K% season (lower is better) | 21.6% | 22.6% |
| OPS vs opposing hand (season) | 0.749 | 0.699 |
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. Brewers and Mets 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 | Brewers | Mets |
|---|---|---|
| Fatigue | 6.9/10, Tired | 6.0/10, Normal |
| Efficiency | 5.5/10, Effective | 5.5/10, Effective |
| Combined risk | 6.7/10, Tired | 5.8/10, Normal |
| Relief innings, last 7 days | 28.7 | 18.0 |
| Back-to-back arms | 5 | 5 |
| 7-day ERA | 3.14 | 3.50 |
| 7-day WHIP | 1.36 | 1.28 |
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 1.3 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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