MLB matchup analysis
Giants vs Rangers Prediction, Odds and Model Pick
Wednesday, August 5, 2026 at Globe Life Field · 2:35 PM ET
LyDia decision: Pass on Giants vs Rangers
The case for Texas Rangers
The case for San Francisco Giants
Why it is not official
Why the setup score is what it is
Read the full model output
Market is higher than LyDia's model probability.
Game information
| Matchup | San Francisco Giants at Texas Rangers |
|---|---|
| Date | Wednesday, August 5, 2026 |
| First pitch | 2:35 PM ET |
| Venue | Globe Life Field |
| Starting pitchers | Carson Whisenhunt vs Cody Bradford |
| Weather | Game-time forecast: 99°F, 0% precipitation chance, 11 mph wind from S. This venue has a roof, but the roof status is not confirmed. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Giants | Rangers |
|---|---|---|
| Pitching plan | Traditional starter | Opener / bullpen game |
| Expected innings | 4⅔ | 1 |
| Throws | L | L |
| LyDia pitcher score (higher is better) | 32 | 49 |
| BB/9 (lower is better) | 5.7 | 9.0 |
| HR/9 (lower is better) | 1.9 | 0.0 |
| Ground-ball rate | 44.7% | 100.0% |
Pitching plan edge: LyDia gives the San Francisco Giants pitching plan the edge over the Texas Rangers pitching plan (12 points on LyDia's pitcher score). Both starters are projected for a short outing, so this compares each side's blended starting-pitcher-and-bullpen quality, not the two starters directly.
Blended read: For the San Francisco Giants, the bullpen is projected to throw more of the game than Carson Whisenhunt (about 4⅔ innings for the starter), so LyDia grades that side on a whole-game effective ERA of 3.91 rather than Carson Whisenhunt's own 6.63. For the Texas Rangers, the bullpen is projected to throw more of the game than Cody Bradford (about 1 innings for the starter), so LyDia grades that side on a whole-game effective ERA of 4.67 rather than Cody Bradford's own 0.00. Whole-game, that is 3.91 for the San Francisco Giants against 4.67 on the other side, so the blended read leans San Francisco Giants.
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 →
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 4-6 in their last 10 and averaging 4.9 runs per game over the last 15 days; Rangers are 3-7 in their last 10 and averaging 4.0 runs per game over the last 15 days. Season run differential separates them by almost nothing (-0.44 against -0.34).
| Metric | Giants | Rangers |
|---|---|---|
| Last 10 | 4-6 | 3-7 |
| Last 10 by venue (away team on the road, home team at home) | 2-8 on the road | 6-4 at home |
| OPS, last 15 days | 0.701 | 0.716 |
| Runs per game, last 15 days | 4.9 | 4.0 |
| K% last 15 days (lower is better) | 19.7% | 24.9% |
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 | Rangers |
|---|---|---|
| OPS | 0.695 (-0.028 vs szn) | 0.746 (+0.027 vs szn) |
| Runs per game | 4.42 (+0.258 vs szn) | 4.16 (+0.064 vs szn) |
| wOBA (model offense input) | 0.309 (-0.008 vs szn) | 0.327 (+0.009 vs szn) |
| K% (lower is better) | 21.2% | 25.1% (+2.4% vs szn) |
Over the last 30 days the Rangers have been the better offense, 0.327 wOBA to 0.309. They are running hot against their own season line (+0.009 wOBA). Rangers are striking out at 25.1% over the window — something the opposing starter can lean on.
Season profile
Full Stats page →| Metric | Giants | Rangers |
|---|---|---|
| Record | 48-66 | 56-58 |
| Run differential / game (team quality) | -0.44 | -0.34 |
| Runs scored / game (offense, season) | 4.20 | 4.13 |
| Runs allowed / game (defense, season, lower better) | 4.64 | 4.47 |
| Season OPS | 0.723 | 0.719 |
| K% season (lower is better) | 20.8% | 22.8% |
| OPS vs opposing hand (season) | 0.685 | 0.738 |
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 Rangers 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 | Rangers |
|---|---|---|
| Fatigue | 7.1/10, Tired | 7.4/10, Tired |
| Efficiency | 5.6/10, Effective | 3.2/10, Below average |
| Combined risk | 6.8/10, Tired | 8.3/10, High risk |
| Relief innings, last 7 days | 23.7 | 25.3 |
| Back-to-back arms | 5 | 7 |
| 7-day ERA | 2.66 | 6.04 |
| 7-day WHIP | 1.52 | 1.78 |
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 2.4 runs above 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.
More games today
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