MLB matchup analysis
Diamondbacks vs Giants Prediction, Odds and Model Pick
Thursday, August 27, 2026 at Oracle Park · 9:45 PM ET
LyDia decision: Pass on Diamondbacks vs Giants
The case for San Francisco Giants
The case for Arizona Diamondbacks
Why it is not official
Why the setup score is what it is
Why the price is what it is
LyDia Coach — consistency check
Review prompts only, from LyDia's own official-pick history. Not a signal to skip or fade this pick.
Read the full model output
The combined Lab Rating did not clear the official threshold.
Final result
Diamondbacks 1, Giants 6
How the analysis held up
San Francisco Giants won, the side LyDia's model favored.
Landen Roupp (San Francisco Giants), the starter LyDia's pitcher score favored, actually outpitched Jose Cabrera: 5.0 IP, 1 ER (1.80 ERA) against 4.1 IP, 2 ER (4.15 ERA). The edge held up.
The Arizona Diamondbacks bullpen was not flagged pregame, but it had a night worth noting: 4 earned runs allowed over 3.2 relief innings (9.82 ERA) — quietly worse than the pregame read implied.
The San Francisco Giants bullpen was flagged as elevated risk pregame (High risk). In relief it actually allowed 0 earned runs over 4.0 innings (0.00 ERA) — the risk read did not show up on the scoreboard tonight.
Arizona Diamondbacks scored 1, 2.8 fewer than the 3.8 pregame projection.
San Francisco Giants scored 6, 2 more than the 4 pregame projection.
Game information
| Matchup | Arizona Diamondbacks at San Francisco Giants |
|---|---|
| Date | Thursday, August 27, 2026 |
| First pitch | 9:45 PM ET |
| Venue | Oracle Park |
| Starting pitchers | Jose Cabrera vs Landen Roupp |
| Weather | Game-time forecast: 64°F, 2% precipitation chance, 13 mph wind from NW. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Diamondbacks | Giants |
|---|---|---|
| Pitching plan | Limited starter | Traditional starter |
| Expected innings | 4 | 5⅓ |
| Throws | R | R |
| LyDia pitcher score (higher is better) | 42 | 61 |
| ERA (lower is better) | 5.59 | 4.28 |
| WHIP (lower is better) | 1.55 | 1.30 |
| K/9 (higher is better) | 7.0 | 8.6 |
| K-BB% (higher is better) | 7.9% | 11.2% |
| K% (higher is better) | 16.9% | 22.4% |
| BB% (lower is better) | 9.0% | 11.2% |
| BB/9 (lower is better) | 3.7 | 4.3 |
| HR/9 (lower is better) | 1.9 | 0.7 |
| Ground-ball rate | 42.9% | 59.0% |
| Fly-ball rate | 57.1% | 41.0% |
Pitcher edge: LyDia gives Landen Roupp a 19-point edge over Jose Cabrera, driven mainly by HR/9 (0.66 vs 1.86) and expected innings (5.3 vs 3.9).
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 →Diamondbacks are 5-5 in their last 10 and averaging 4.4 runs per game over the last 15 days; Giants are 3-7 in their last 10 and averaging 3.7 runs per game over the last 15 days. On the season Diamondbacks carry the better run differential per game (+0.00 against -0.51).
| Metric | Diamondbacks | Giants |
|---|---|---|
| Last 10 | 5-5 | 3-7 |
| Last 10 by venue (away team on the road, home team at home) | 5-5 on the road | 5-5 at home |
| OPS, last 15 days | 0.760 | 0.712 |
| wOBA, last 15 days (hot/cold read) | 0.334 | 0.314 |
| Runs per game, last 15 days | 4.4 | 3.7 |
| K% last 15 days (lower is better) | 17.8% | 23.7% |
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 | Diamondbacks | Giants |
|---|---|---|
| OPS | 0.741 (+0.028 vs szn) | 0.674 (-0.040 vs szn) |
| Runs per game | 4.46 (-0.025 vs szn) | 3.82 (-0.253 vs szn) |
| wOBA (model offense input) | 0.326 (+0.011 vs szn) | 0.299 (-0.014 vs szn) |
| K% (lower is better) | 18.6% (-0.6% vs szn) | 22.3% (+1.0% vs szn) |
Over the last 30 days the Diamondbacks have been the better offense, 0.326 wOBA to 0.299. They are running hot against their own season line (+0.011 wOBA).
Season profile
Full Stats page →| Metric | Diamondbacks | Giants |
|---|---|---|
| Record | 71-63 | 54-79 |
| Run differential / game (team quality) | +0.00 | -0.51 |
| Runs scored / game (offense, season) | 4.49 | 4.07 |
| Runs allowed / game (defense, season, lower better) | 4.49 | 4.59 |
| Season OPS | 0.715 | 0.714 |
| K% season (lower is better) | 19.1% | 21.3% |
| OPS vs opposing hand (season) | 0.685 | 0.736 |
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. Diamondbacks 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 | Diamondbacks | Giants |
|---|---|---|
| Fatigue | 5.8/10, Normal | 8.4/10, High risk |
| Efficiency | 5.6/10, Effective | 5.2/10, Average |
| Combined risk | 5.5/10, Normal | 8.3/10, High risk |
| Relief innings, last 7 days | 22.7 | 33.3 |
| Back-to-back arms | 4 | 4 |
| 7-day ERA | 3.57 | 3.51 |
| 7-day WHIP | 1.15 | 1.41 |
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.
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