MLB matchup analysis
Diamondbacks vs Giants (Game 1) Prediction, Odds and Model Pick
Saturday, August 29, 2026 at Oracle Park · 4:05 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
Read the full model output
This is a bullpen game -- no confirmed traditional starter, so LyDia does not publish an official pick here.
Final result
Diamondbacks 7, Giants 1
How the analysis held up
Arizona Diamondbacks won. LyDia's model favored the other side.
Matt Wilkinson (San Francisco Giants) was LyDia's favored starter by pitcher score, but Merrill Kelly actually pitched better tonight: 7.0 IP, 0 ER (0.00 ERA) against 6.0 IP, 2 ER (3.00 ERA). The edge did not show up in this game.
The San Francisco Giants bullpen was flagged as elevated risk pregame (Tired). In relief it actually allowed 4 earned runs over 3.0 innings (12.00 ERA) — the risk read showed up. Note: 1 of the runs charged to the San Francisco Giants pitching staff overall was unearned — not something the bullpen's stuff should be blamed for.
Arizona Diamondbacks scored 7, 2.9 more than the 4.1 pregame projection.
San Francisco Giants scored 1, 3.9 fewer than the 4.9 pregame projection.
Likely driver: the San Francisco Giants bullpen allowed 4 earned runs over 3.0 relief innings (12.00 ERA), which is exactly the risk flagged pregame, and the opposing starter (0.00 ERA) was sharp when the read expected an edge the other way.
Game information
| Matchup | Arizona Diamondbacks at San Francisco Giants |
|---|---|
| Date | Saturday, August 29, 2026 |
| First pitch | 4:05 PM ET |
| Venue | Oracle Park |
| Starting pitchers | Merrill Kelly vs Matt Wilkinson |
| Weather | Game-time forecast: 70°F, 0% precipitation chance, 15 mph wind from W. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Diamondbacks | Giants |
|---|---|---|
| Pitching plan | Traditional starter | Limited starter |
| Expected innings | 5⅔ | 4 |
| Throws | R | L |
| LyDia pitcher score (higher is better) | 50 | 58 |
| ERA (lower is better) | 5.08 | 4.63 |
| WHIP (lower is better) | 1.48 | 1.11 |
| K/9 (higher is better) | 6.0 | 4.6 |
| K-BB% (higher is better) | 5.0% | 8.5% |
| K% (higher is better) | 15.4% | 12.8% |
| BB% (lower is better) | 10.4% | 4.3% |
| BB/9 (lower is better) | 4.1 | 1.5 |
| HR/9 (lower is better) | 1.7 | 0.8 |
| Ground-ball rate | 47.9% | 28.6% |
| Fly-ball rate | 52.1% | 71.4% |
Pitching plan edge: LyDia gives the San Francisco Giants pitching plan the edge over Merrill Kelly (23 points on LyDia's pitcher score). Matt Wilkinson is projected for only 4 innings, with the San Francisco Giants bullpen covering the rest -- this compares the San Francisco Giants blended starting-pitcher-and-bullpen quality against Merrill Kelly's own line, not two starters directly.
Blended read: For the San Francisco Giants, the bullpen is projected to throw more of the game than Matt Wilkinson (about 4 innings for the starter), so LyDia grades that side on a whole-game effective ERA of 3.71 rather than Matt Wilkinson's own 4.63. Whole-game, that is 3.71 for the San Francisco Giants against 5.18 on the other side, so the blended read leans San Francisco Giants.
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 6-4 in their last 10 and averaging 4.6 runs per game over the last 15 days; Giants are 4-6 in their last 10 and averaging 4.2 runs per game over the last 15 days. On the season Diamondbacks carry the better run differential per game (+0.04 against -0.54).
| Metric | Diamondbacks | Giants |
|---|---|---|
| Last 10 | 6-4 | 4-6 |
| 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 | 0.747 | 0.727 |
| wOBA, last 15 days (hot/cold read) | 0.327 | 0.319 |
| Runs per game, last 15 days | 4.6 | 4.2 |
| K% last 15 days (lower is better) | 19.2% | 24.0% |
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 | 0.744 (+0.030 vs szn) | 0.651 (-0.061 vs szn) |
| Runs per game | 4.59 (+0.057 vs szn) | 3.55 (-0.536 vs szn) |
| wOBA (model offense input) | 0.328 (+0.013 vs szn) | 0.290 (-0.022 vs szn) |
| K% (lower is better) | 18.8% | 23.0% (+1.6% vs szn) |
Over the last 30 days the Diamondbacks have been the better offense, 0.328 wOBA to 0.290. They are running hot against their own season line (+0.013 wOBA).
Season profile
Full Stats page →| Metric | Diamondbacks | Giants |
|---|---|---|
| Record | 72-64 | 55-80 |
| Run differential / game (team quality) | +0.04 | -0.54 |
| Runs scored / game (offense, season) | 4.53 | 4.09 |
| Runs allowed / game (defense, season, lower better) | 4.49 | 4.63 |
| Season OPS | 0.715 | 0.713 |
| K% season (lower is better) | 19.2% | 21.4% |
| OPS vs opposing hand (season) | 0.792 | 0.734 |
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 | 6.9/10, Tired | 7.7/10, Tired |
| Efficiency | 5.1/10, Average | 4.9/10, Average |
| Combined risk | 6.9/10, Tired | 7.8/10, Tired |
| Relief innings, last 7 days | 28.0 | 33.3 |
| Back-to-back arms | 4 | 3 |
| 7-day ERA | 4.18 | 4.32 |
| 7-day WHIP | 1.21 | 1.35 |
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 1.9 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.
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