MLB matchup analysis
Tigers vs Giants Prediction, Odds and Model Pick
Friday, August 7, 2026 at Oracle Park · 10:15 PM ET
LyDia decision: Pass on Tigers vs Giants
The case for Detroit Tigers
The case for San Francisco Giants
Why it is not official
Why the setup score is what it is
Read the full model output
The combined Lab Rating did not clear the official threshold.
Game information
| Matchup | Detroit Tigers at San Francisco Giants |
|---|---|
| Date | Friday, August 7, 2026 |
| First pitch | 10:15 PM ET |
| Venue | Oracle Park |
| Starting pitchers | Keider Montero vs JT Brubaker |
| Weather | Game-time forecast: 61°F, 0% precipitation chance, 12 mph wind from W. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Tigers | Giants |
|---|---|---|
| Pitching plan | Traditional starter | Role unknown |
| Expected innings | 5⅔ | 4⅔ |
| Throws | R | R |
| LyDia pitcher score (higher is better) | 77 | 64 |
| ERA (lower is better) | 3.17 | 3.17 |
| WHIP (lower is better) | 1.00 | 1.17 |
| K/9 (higher is better) | 6.3 | 6.0 |
| K-BB% (higher is better) | 12.0% | 6.4% |
| K% (higher is better) | 17.4% | 16.5% |
| BB% (lower is better) | 5.4% | 10.1% |
| BB/9 (lower is better) | 1.9 | 3.7 |
| HR/9 (lower is better) | 0.9 | 0.7 |
| Ground-ball rate | 43.7% | 43.2% |
| Fly-ball rate | 56.3% | 56.8% |
Pitcher edge: LyDia gives Keider Montero a 13-point edge over JT Brubaker, driven mainly by BB/9 (1.9 vs 3.7) and expected innings (5.7 vs 4.5).
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 →Tigers are 6-4 in their last 10, averaging 7.2 runs per game over the last 15 days, and swinging above their season form; Giants are 4-6 in their last 10 and averaging 4.8 runs per game over the last 15 days. On the season Tigers carry the better run differential per game (+0.70 against -0.49).
| Metric | Tigers | Giants |
|---|---|---|
| Last 10 | 6-4 | 4-6 |
| Last 10 by venue (away team on the road, home team at home) | 7-3 on the road | 7-3 at home |
| OPS, last 15 days | 0.876 | 0.713 |
| Runs per game, last 15 days | 7.2 | 4.8 |
| K% last 15 days (lower is better) | 19.6% | 19.4% |
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 | Tigers | Giants |
|---|---|---|
| OPS | 0.805 (+0.073 vs szn) | 0.689 (-0.033 vs szn) |
| Runs per game | 5.88 (+1.301 vs szn) | 4.25 (+0.085 vs szn) |
| wOBA (model offense input) | 0.350 (+0.028 vs szn) | 0.306 (-0.010 vs szn) |
| K% (lower is better) | 22.0% (-0.8% vs szn) | 21.5% (+0.6% vs szn) |
Over the last 30 days the Tigers have been the better offense, 0.350 wOBA to 0.306. They are running hot against their own season line (+0.028 wOBA).
Season profile
Full Stats page →| Metric | Tigers | Giants |
|---|---|---|
| Record | 56-59 | 48-67 |
| Run differential / game (team quality) | +0.70 | -0.49 |
| Runs scored / game (offense, season) | 4.57 | 4.17 |
| Runs allowed / game (defense, season, lower better) | 3.88 | 4.65 |
| Season OPS | 0.732 | 0.722 |
| K% season (lower is better) | 22.8% | 20.9% |
| OPS vs opposing hand (season) | 0.745 | 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. Tigers and Giants 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 | Tigers | Giants |
|---|---|---|
| Fatigue | 5.4/10, Normal | 6.9/10, Tired |
| Efficiency | 5.4/10, Average | 5.3/10, Average |
| Combined risk | 5.2/10, Normal | 6.8/10, Tired |
| Relief innings, last 7 days | 22.3 | 22.3 |
| Back-to-back arms | 4 | 6 |
| 7-day ERA | 3.63 | 3.22 |
| 7-day WHIP | 1.25 | 1.48 |
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 and market are close. Team totals remain research-only until their graded sample is established.
More games today
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