MLB matchup analysis

Cardinals vs Cubs Prediction, Odds and Model Pick

Friday, August 14, 2026 at Wrigley Field · 2:20 PM ET

Pass

LyDia decision: Pass on Cardinals vs Cubs

Lab Rating
6.4/10
Model lean
Cubs 57.6%
Market probability
61.3%
Model edge
-3.7%
Best moneyline
-170
Sportsbooks checked
5
LyDia model
57.6%
Market
61.3%

The case for Chicago Cubs

Starting pitcher edge: 21 points
LyDia gives Clay Holmes a 21-point edge over Matthew Liberatore, driven mainly by HR/9 (0.64 vs 1.58) and ERA (2.86 vs 5.15).

The case for St. Louis Cardinals

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

Why it is not official

Below the 61.0% official gate
Win probability is 57.6%. 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 6.4/10, under the 8.0/10 required for an official pick.

Why the setup score is what it is

Conviction: 14.19/35
LyDia leans toward Chicago Cubs, but not strongly enough to earn full conviction credit.
Bullpen: 9.63/20
Both bullpens are rated normal — this is close to a wash, not an advantage either way.
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

MatchupSt. Louis Cardinals at Chicago Cubs
DateFriday, August 14, 2026
First pitch2:20 PM ET
VenueWrigley Field
Starting pitchersMatthew Liberatore vs Clay Holmes
WeatherGame-time forecast: 75°F, 2% precipitation chance, 9 mph wind from NE.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Matthew LiberatoreCardinals · LHP
vs
Clay HolmesCubs · RHP
MetricCardinalsCubs
Pitching planTraditional starterTraditional starter
Expected innings55⅔
ThrowsLR
LyDia pitcher score (higher is better)5172
ERA (lower is better)5.152.86
WHIP (lower is better)1.521.16
K/9 (higher is better)8.77.3
K-BB% (higher is better)13.4%11.2%
K% (higher is better)22.0%19.7%
BB% (lower is better)8.6%8.6%
BB/9 (lower is better)3.43.2
HR/9 (lower is better)1.60.6
Ground-ball rate39.2%62.2%
Fly-ball rate60.8%37.8%

Pitcher edge: LyDia gives Clay Holmes a 21-point edge over Matthew Liberatore, driven mainly by HR/9 (0.64 vs 1.58) and ERA (2.86 vs 5.15).

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 →

4.9 LyDia projected Ks
No strikeout line posted when this page was generated
Clay Holmes strikeouts
4.0 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.

Cardinals are 7-3 in their last 10 and averaging 4.2 runs per game over the last 15 days; Cubs are 8-2 in their last 10 and averaging 5.3 runs per game over the last 15 days. On the season Cubs carry the better run differential per game (+0.89 against -0.01).

MetricCardinalsCubs
Last 107-38-2
Last 10 by venue (away team on the road, home team at home)4-6 on the road6-4 at home
OPS, last 15 days0.7150.770
wOBA, last 15 days (hot/cold read)0.3170.337
Runs per game, last 15 days4.25.3
K% last 15 days (lower is better)21.1%22.2%

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 daysCardinalsCubs
OPS0.650 (-0.045 vs szn)0.791 (+0.034 vs szn)
Runs per game3.85 (-0.526 vs szn)5.77 (+0.573 vs szn)
wOBA (model offense input)0.292 (-0.017 vs szn)0.347 (+0.013 vs szn)
K% (lower is better)20.2%23.4% (+1.6% vs szn)

Over the last 30 days the Cubs have been the better offense, 0.347 wOBA to 0.292. They are running hot against their own season line (+0.013 wOBA).

Season profile

Full Stats page →
MetricCardinalsCubs
Record61-6071-51
Run differential / game (team quality)-0.01+0.89
Runs scored / game (offense, season)4.375.20
Runs allowed / game (defense, season, lower better)4.384.31
Season OPS0.6950.757
K% season (lower is better)20.4%21.8%
OPS vs opposing hand (season)0.6960.806

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. Cardinals and Cubs are highlighted.

Cardinals
Combined risk
5.3 Normal
Fatigue
5.9 Normal
Efficiency
6.2 Effective
Cubs
Combined risk
5.5 Normal
Fatigue
5.6 Normal
Efficiency
5.2 Average

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.

MetricCardinalsCubs
Fatigue5.9/10, Normal5.6/10, Normal
Efficiency6.2/10, Effective5.2/10, Average
Combined risk5.3/10, Normal5.5/10, Normal
Relief innings, last 7 days22.319.7
Back-to-back arms75
7-day ERA2.824.12
7-day WHIP1.071.17

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
9.8
Market total
9.0
Projected away runs
2.3
Projected home runs
6.9
Over price
-122
Under price
+101
St. Louis Cardinals team total
2.3 projected
Line 3.5 · O +112 / U -135
Under research lean (-1.2)
Chicago Cubs team total
6.9 projected
Line 4.5 · O +105 / U -115
Over research lean (+2.4)

The model projects 0.8 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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