MLB matchup analysis
Giants vs Guardians Prediction, Odds and Model Pick
Thursday, August 20, 2026 at Progressive Field · 1:10 PM ET
LyDia prediction: Cleveland Guardians moneyline
The case for Cleveland Guardians
The case for San Francisco Giants
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
Cleveland Guardians is a value watch, not an official pick. LyDia projects 69.9% against a 65.2% no-vig market number, a 4.8% model edge at -196. Lab Rating 7.5/10: conviction 20, pitching plan 12, bullpen 15.57, offense 27.7. Cleveland Guardians's pen efficiency: Effective (6.6/10). It stayed a value watch because Lab Rating is 7.5/10, below the 8.0/10 official-pick gate. Lineup check: Cleveland Guardians is near its season form (+0.005 OPS); San Francisco Giants is in a cold stretch (-0.118 OPS). Recent form supports this side and is included in the unified run projection.
Game information
| Matchup | San Francisco Giants at Cleveland Guardians |
|---|---|
| Date | Thursday, August 20, 2026 |
| First pitch | 1:10 PM ET |
| Venue | Progressive Field |
| Starting pitchers | Landen Roupp vs Gavin Williams |
| Weather | Game-time forecast: 78°F, 10% precipitation chance, 7 mph wind from N. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Giants | Guardians |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 5⅓ | 6 |
| Throws | R | R |
| LyDia pitcher score (higher is better) | 61 | 73 |
| ERA (lower is better) | 4.31 | 3.74 |
| WHIP (lower is better) | 1.30 | 1.08 |
| K/9 (higher is better) | 8.9 | 11.5 |
| K-BB% (higher is better) | 12.4% | 24.3% |
| K% (higher is better) | 23.4% | 31.8% |
| BB% (lower is better) | 10.9% | 7.5% |
| BB/9 (lower is better) | 4.2 | 2.7 |
| HR/9 (lower is better) | 0.7 | 1.4 |
| Ground-ball rate | 59.9% | 51.9% |
| Fly-ball rate | 40.1% | 48.1% |
Pitcher edge: LyDia gives Gavin Williams a 12-point edge over Landen Roupp, driven mainly by K-BB% (24.3% vs 12.4%) and K/9 (11.5 vs 8.9).
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 →Neither side is playing well. Giants are 3-7 in their last 10, averaging 2.7 runs per game over the last 15 days, and hitting below their season form; Guardians are 3-7 in their last 10 and averaging 4.2 runs per game over the last 15 days. On the season Guardians carry the better run differential per game (-0.20 against -0.58).
| Metric | Giants | Guardians |
|---|---|---|
| Last 10 | 3-7 | 3-7 |
| Last 10 by venue (away team on the road, home team at home) | 3-7 on the road | 3-7 at home |
| OPS, last 15 days | 0.594 | 0.686 |
| wOBA, last 15 days (hot/cold read) | 0.265 | 0.308 |
| Runs per game, last 15 days | 2.7 | 4.2 |
| K% last 15 days (lower is better) | 24.1% | 18.6% |
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 | Guardians |
|---|---|---|
| OPS | 0.652 (-0.060 vs szn) | 0.654 (-0.027 vs szn) |
| Runs per game | 3.85 (-0.209 vs szn) | 3.73 (-0.222 vs szn) |
| wOBA (model offense input) | 0.291 (-0.021 vs szn) | 0.295 (-0.009 vs szn) |
| K% (lower is better) | 21.5% | 18.7% (-3.1% vs szn) |
Over the last 30 days the Guardians have been the better offense, 0.295 wOBA to 0.291. They are cooling off against their own season line (-0.009 wOBA).
Season profile
Full Stats page →| Metric | Giants | Guardians |
|---|---|---|
| Record | 52-74 | 61-66 |
| Run differential / game (team quality) | -0.58 | -0.20 |
| Runs scored / game (offense, season) | 4.06 | 3.95 |
| Runs allowed / game (defense, season, lower better) | 4.63 | 4.16 |
| Season OPS | 0.712 | 0.681 |
| K% season (lower is better) | 21.1% | 21.8% |
| OPS vs opposing hand (season) | 0.731 | 0.686 |
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 Guardians 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 | Guardians |
|---|---|---|
| Fatigue | 7.9/10, Tired | 5.0/10, Normal |
| Efficiency | 5.9/10, Effective | 6.6/10, Effective |
| Combined risk | 7.5/10, Tired | 4.2/10, Normal |
| Relief innings, last 7 days | 24.0 | 18.3 |
| Back-to-back arms | 6 | 6 |
| 7-day ERA | 3.00 | 2.45 |
| 7-day WHIP | 1.21 | 0.93 |
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 1.3 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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