MLB matchup analysis
Rangers vs Brewers Prediction, Odds and Model Pick
Sunday, August 30, 2026 at American Family Field · 2:10 PM ET
LyDia decision: Pass on Rangers vs Brewers
The case for Milwaukee Brewers
The case for Texas Rangers
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
Rangers 7, Brewers 4
How the analysis held up
Texas Rangers won. LyDia's model favored the other side.
Kumar Rocker (No clear pitching-plan edge), the starter LyDia's pitcher score favored, actually outpitched Dustin May: 3.0 IP, 2 ER (6.00 ERA) against 4.1 IP, 4 ER (8.31 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 Milwaukee Brewers bullpen was not flagged pregame, but it had a night worth noting: 1 earned run allowed over 4.2 relief innings (1.93 ERA) — quietly better than the pregame read implied. Note: 2 of the runs charged to the Milwaukee Brewers pitching staff overall were unearned — not something the bullpen's stuff should be blamed for.
Likely driver: Dustin May, the pick's own starter, was rocked for a 8.31 ERA.
Game information
| Matchup | Texas Rangers at Milwaukee Brewers |
|---|---|
| Date | Sunday, August 30, 2026 |
| First pitch | 2:10 PM ET |
| Venue | American Family Field |
| Starting pitchers | Kumar Rocker vs Dustin May |
| Weather | Game-time forecast: 76°F, 11% precipitation chance, 9 mph wind from S. This venue has a roof, but the roof status is not confirmed. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Rangers | Brewers |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 5 | 5 |
| Throws | R | R |
| LyDia pitcher score (higher is better) | 57 | 59 |
| ERA (lower is better) | 4.44 | 4.69 |
| WHIP (lower is better) | 1.43 | 1.32 |
| K/9 (higher is better) | 8.6 | 8.5 |
| K-BB% (higher is better) | 12.1% | 14.1% |
| K% (higher is better) | 21.8% | 22.3% |
| BB% (lower is better) | 9.6% | 8.2% |
| BB/9 (lower is better) | 3.8 | 3.1 |
| HR/9 (lower is better) | 1.2 | 0.7 |
| Ground-ball rate | 47.1% | 47.1% |
| Fly-ball rate | 52.9% | 52.9% |
Pitcher edge: LyDia gives Dustin May a 2-point edge over Kumar Rocker, driven mainly by HR/9 (0.70 vs 1.25) and BB/9 (3.1 vs 3.8).
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 →Rangers are 4-6 in their last 10 and averaging 3.6 runs per game over the last 15 days; Brewers are 7-3 in their last 10 and averaging 6.2 runs per game over the last 15 days. On the season Brewers carry the better run differential per game (+1.29 against -0.37).
| Metric | Rangers | Brewers |
|---|---|---|
| Last 10 | 4-6 | 7-3 |
| Last 10 by venue (away team on the road, home team at home) | 3-7 on the road | 7-3 at home |
| OPS, last 15 days | 0.734 | 0.810 |
| wOBA, last 15 days (hot/cold read) | 0.323 | 0.354 |
| Runs per game, last 15 days | 3.6 | 6.2 |
| K% last 15 days (lower is better) | 23.1% | 20.2% |
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 | Rangers | Brewers |
|---|---|---|
| OPS | 0.678 (-0.035 vs szn) | 0.728 (-0.007 vs szn) |
| Runs per game | 3.50 (-0.544 vs szn) | 4.72 (-0.261 vs szn) |
| wOBA (model offense input) | 0.302 (-0.014 vs szn) | 0.324 |
| K% (lower is better) | 23.3% | 23.5% (+2.1% vs szn) |
Over the last 30 days the Brewers have been the better offense, 0.324 wOBA to 0.302.
Season profile
Full Stats page →| Metric | Rangers | Brewers |
|---|---|---|
| Record | 66-70 | 85-51 |
| Run differential / game (team quality) | -0.37 | +1.29 |
| Runs scored / game (offense, season) | 4.04 | 4.99 |
| Runs allowed / game (defense, season, lower better) | 4.42 | 3.69 |
| Season OPS | 0.711 | 0.736 |
| K% season (lower is better) | 22.8% | 21.5% |
| OPS vs opposing hand (season) | 0.699 | 0.752 |
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. Rangers and Brewers 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 | Rangers | Brewers |
|---|---|---|
| Fatigue | 5.0/10, Normal | 6.6/10, Tired |
| Efficiency | 2.1/10, Struggling | 6.8/10, Effective |
| Combined risk | 6.5/10, Tired | 5.7/10, Normal |
| Relief innings, last 7 days | 19.3 | 26.3 |
| Back-to-back arms | 7 | 4 |
| 7-day ERA | 7.45 | 1.71 |
| 7-day WHIP | 1.97 | 1.10 |
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 1.6 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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