MLB matchup analysis

Reds vs Giants Prediction, Odds and Model Pick

Tuesday, August 25, 2026 at Oracle Park · 9:45 PM ET

Pass

LyDia decision: Pass on Reds vs Giants

Lab Rating
4.2/10
Model lean
Giants 56.7%
Market probability
50.4%
Model edge
+6.3%
Best moneyline
-105
Sportsbooks checked
9
LyDia model
56.7%
Market
50.4%

The case for San Francisco Giants

Why LyDia leans San Francisco Giants
LyDia's model makes San Francisco Giants 56.7% to win. No single factor dominates — the starting pitcher matchup tilt the same way, enough to lean San Francisco Giants even though it does not clear the bar for a high-confidence pick.

The case for Cincinnati Reds

The case is thin
The model finds little going Cincinnati Reds's way — it trails on the pitching plan, bullpen, and recent form. The main path to a Cincinnati Reds win is variance.

Why it is not official

Below the 61.0% official gate
Win probability is 56.7%. LyDia does not make a game official below 61.0%, no matter how good the price is. This is a value spot, not a high-confidence winner.
Setup quality below the bar
Lab Rating is 4.2/10, under the 7.2/10 required for an official pick.
Own bullpen carries risk: 6.8/10
The San Francisco Giants bullpen comes in tired. A lead after six innings is less safe than usual.

Why the setup score is what it is

Conviction: 0.85/10
LyDia leans toward San Francisco Giants, but not strongly enough to earn full conviction credit.
Pitching plan: 9/30
Adrian Houser rates 6 points better than Brady Singer on LyDia's pitcher score. A real edge, but well short of the gap that earns full credit here.
Bullpen: 4.22/10
LyDia does not see a meaningful bullpen edge for San Francisco Giants here.
Offense: 27.75/50
San Francisco Giants's recent offensive form clearly outpaces Cincinnati Reds's over the tracked windows.

Why the price is what it is

Team strength: 41.8%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes San Francisco Giants 41.8% to win. Everything below moves the price from this starting point.
Pitcher score gap: 6 points
The pitcher-score gap favors San Francisco Giants by 6 points. This is the biggest single mover of the price -- a large gap moves it a lot, a small gap barely moves it.
Bullpen adjustment: -0.021
The bullpen-fatigue gap between the two pens nudges the price toward Cincinnati Reds. This moves the price less than the starting pitchers do, since a starter covers more of the game than the bullpen.
Net effect: 41.8% -> 56.7%
Team strength alone had San Francisco Giants at 41.8%. After the pitcher and bullpen terms, the price is 56.7% -- the same number shown as Model Lean above.
The verdict LyDia passes. The combined Lab Rating did not clear the official threshold.
Read the full model output

The combined Lab Rating did not clear the official threshold.

Game information

MatchupCincinnati Reds at San Francisco Giants
DateTuesday, August 25, 2026
First pitch9:45 PM ET
VenueOracle Park
Starting pitchersBrady Singer vs Adrian Houser
WeatherGame-time forecast: 66°F, 0% precipitation chance, 15 mph wind from W.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Brady SingerReds · RHP
vs
Adrian HouserGiants · RHP
MetricRedsGiants
Pitching planTraditional starterTraditional starter
Expected innings5⅓4⅔
ThrowsRR
LyDia pitcher score (higher is better)5662
ERA (lower is better)4.724.08
WHIP (lower is better)1.421.31
K/9 (higher is better)7.36.1
K-BB% (higher is better)11.0%8.4%
K% (higher is better)18.4%15.7%
BB% (lower is better)7.4%7.3%
BB/9 (lower is better)2.92.8
HR/9 (lower is better)1.71.3
Ground-ball rate46.8%51.4%
Fly-ball rate53.2%48.6%

Pitcher edge: LyDia gives Adrian Houser a 6-point edge over Brady Singer, driven mainly by HR/9 (1.25 vs 1.71) and ERA (4.08 vs 4.72).

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 →

Brady Singer strikeouts
3.7 LyDia projected Ks
No strikeout line posted when this page was generated
Adrian Houser strikeouts
6.5 LyDia projected Ks
No strikeout line posted when this page was generated

Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.

Neither side is playing well. Reds are 3-7 in their last 10 and averaging 3.7 runs per game over the last 15 days; Giants are 3-7 in their last 10 and averaging 3.3 runs per game over the last 15 days. Season run differential separates them by almost nothing (-0.75 against -0.57).

MetricRedsGiants
Last 103-73-7
Last 10 by venue (away team on the road, home team at home)3-7 on the road4-6 at home
OPS, last 15 days0.6210.668
wOBA, last 15 days (hot/cold read)0.2780.296
Runs per game, last 15 days3.73.3
K% last 15 days (lower is better)26.5%23.9%

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 daysRedsGiants
OPS0.662 (-0.034 vs szn)0.649 (-0.061 vs szn)
Runs per game3.79 (-0.275 vs szn)3.52 (-0.512 vs szn)
wOBA (model offense input)0.295 (-0.014 vs szn)0.290 (-0.022 vs szn)
K% (lower is better)28.3% (+2.8% vs szn)22.5% (+1.2% vs szn)

Over the last 30 days the Reds have been the better offense, 0.295 wOBA to 0.290. They are cooling off against their own season line (-0.014 wOBA). Reds are striking out at 28.3% over the window — something the opposing starter can lean on.

Season profile

Full Stats page →
MetricRedsGiants
Record62-7053-78
Run differential / game (team quality)-0.75-0.57
Runs scored / game (offense, season)4.074.03
Runs allowed / game (defense, season, lower better)4.824.60
Season OPS0.6960.710
K% season (lower is better)25.4%21.3%
OPS vs opposing hand (season)0.6860.733

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.

Every team on today's slate, on any two axes you pick. Reds and Giants are highlighted.

Reds
Combined risk
6.1 Normal
Fatigue
6.3 Tired
Efficiency
5.4 Average
Giants
Combined risk
6.8 Tired
Fatigue
7.7 Tired
Efficiency
6.9 Effective

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.

MetricRedsGiants
Fatigue6.3/10, Tired7.7/10, Tired
Efficiency5.4/10, Average6.9/10, Effective
Combined risk6.1/10, Normal6.8/10, Tired
Relief innings, last 7 days23.734.3
Back-to-back arms65
7-day ERA3.041.31
7-day WHIP1.521.17

Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.

Run total projection

Full Totals Projections →
LyDia projection
5.9
Market total
8.0
Projected away runs
2.2
Projected home runs
3.2
Over price
-107
Under price
-107
Cincinnati Reds team total
2.2 projected
Line Not available · O Not available / U Not available
Market line pending
San Francisco Giants team total
3.2 projected
Line Not available · O Not available / U Not available
Market line pending

The model projects 2.1 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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