MLB matchup analysis

Cardinals vs Blue Jays Prediction, Odds and Model Pick

Saturday, August 1, 2026 at Rogers Centre · 3:07 PM ET

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Pass

LyDia decision: Pass on Cardinals vs Blue Jays

Lab Rating
4.2/10
Model probability
55.4%
Market probability
Not available
Model edge
Not available
Best moneyline
Not available
Sportsbooks checked
0

The case for Toronto Blue Jays

Starting pitcher edge: 18 points
LyDia gives Kevin Gausman a 18-point edge over Quinn Mathews, driven mainly by K-BB% (16.9% vs 0.0%) and BB/9 (2.5 vs 5.4).
Late-inning bullpen advantage
St. Louis Cardinals relievers have a 3.37 ERA over the last three days; Toronto Blue Jays relievers have a 1.69. St. Louis Cardinals also have 5 arms pitching on back-to-back days, against 2 for Toronto Blue Jays. If this is still close after six innings, that gap favors Toronto Blue Jays.

Why it is not official

Below the 72.0% official gate
Win probability is 55.4%. LyDia does not make a game official below 72.0%, 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 8.0/10 required for an official pick.
Not enough market edge
The model and the market are too close for the price to matter.

Why the setup score is what it is

Conviction: 0.46/30
LyDia leans toward Toronto Blue Jays, but not strongly enough to earn full conviction credit.
Model agreement: 0.4/20
LyDia runs two independent reads on this game. The team-strength model gives Toronto Blue Jays a 62.6% chance; the run-projection model gives 47.9%. They disagree by 14.7 points, so the published number is a blend between two methods that do not agree, not a shared read.
The verdict LyDia passes. No market data available, so this stays research-only until pricing is checked.
Read the full model output

No market data available, so this stays research-only until pricing is checked.

Final result

Final score
Cardinals 1, Blue Jays 5
Official moneyline grade
Not graded

How the analysis held up

Toronto Blue Jays won, the side LyDia's model favored.

LyDia's two internal reads disagreed pregame by 14.7 points — the team-strength model favored Toronto Blue Jays, the run-projection model favored St. Louis Cardinals. The team-strength model had the winner here.

Kevin Gausman (Toronto Blue Jays), the starter LyDia's pitcher score favored, actually outpitched Quinn Mathews: 5.2 IP, 1 ER (1.59 ERA) against 5.0 IP, 2 ER (3.60 ERA). The edge held up.

The St. Louis Cardinals bullpen was flagged as elevated risk pregame (High risk). In relief it actually allowed 3 earned runs over 3.0 innings (9.00 ERA) — the risk read showed up.

Toronto Blue Jays scored 5, 3.4 more than the 1.6 pregame projection.

This checks LyDia's pregame reasoning against what actually happened on the field — independent of whether this game was an official pick. It never changes the pick, the rating, or the probability shown above.

The pregame analysis remains on this URL. Postgame information is added without rewriting the original decision.

Game information

MatchupSt. Louis Cardinals at Toronto Blue Jays
DateSaturday, August 1, 2026
First pitch3:07 PM ET
VenueRogers Centre
Starting pitchersQuinn Mathews vs Kevin Gausman
WeatherGame-time forecast: 80°F, 1% precipitation chance, 8 mph wind from E. This venue has a roof, but the roof status is not confirmed.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Quinn MathewsCardinals · LHP
3.60ERA
1.80WHIP
5.4K/9
0.0%K-BB%
vs
Kevin GausmanBlue Jays · RHP
4.38ERA
1.29WHIP
9.0K/9
16.9%K-BB%
MetricCardinalsBlue Jays
Pitching planTraditional starterTraditional starter
Expected innings5.05.5
ThrowsLR
LyDia pitcher score (higher is better)4563
BB/9 (lower is better)5.42.5
HR/9 (lower is better)0.01.1
Ground-ball rate33.3%45.6%
IP per start (higher is better)5.05.5

Pitcher edge: LyDia gives Kevin Gausman a 18-point edge over Quinn Mathews, driven mainly by K-BB% (16.9% vs 0.0%) and BB/9 (2.5 vs 5.4).

How to read this: the scorecards show ERA, WHIP, K/9, and K-BB%. The table adds complementary traits without repeating them. Highlighted cells mark a gap big enough to matter. HR/9 is home runs allowed per nine innings. Ground-ball rate is neither good nor bad on its own: high ground-ball pitchers trade strikeouts for double plays and fewer home runs.

Strikeout Projections Full strikeout projections →

Kevin Gausman strikeouts
4.3 LyDia projected Ks
No strikeout line posted when this page was generated

Projections are self-calibrated against graded results (100 graded starts). Official K picks require a 0.7+ strikeout edge, a posted price from at least two books, and a confirmed non-opener workload of at least four expected innings.

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

Cardinals are 3-7 in their last 10, averaging 3.2 runs per game over the last 15 days, and hitting below their season form; Blue Jays are 5-5 in their last 10, averaging 2.9 runs per game over the last 15 days, and hitting below their season form. Season run differential separates them by almost nothing (-0.18 against -0.49).

MetricCardinalsBlue Jays
Last 103-75-5
OPS, last 15 days0.5790.641
Runs per game, last 15 days3.22.9
K% last 15 days (lower is better)19.9%17.3%

Last 15 days only. Hot and cold streaks for all 30 teams live on the Stats page.

Season profile

Full Stats page →
MetricCardinalsBlue Jays
Record54-5651-59
Run differential / game (team quality)-0.18-0.49
Runs scored / game (offense, season)4.313.95
Runs allowed / game (defense, season, lower better)4.494.43
Season OPS0.6910.685
K% season (lower is better)20.4%19.3%
OPS vs opposing hand (season)0.6900.640

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 Blue Jays are highlighted.

Cardinals
Combined risk
8.6 High risk
Fatigue
8.5 High risk
Efficiency
4.9 Average
Blue Jays
Combined risk
5.4 Normal
Fatigue
6.0 Normal
Efficiency
6.3 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.

MetricCardinalsBlue Jays
Fatigue8.5/10, High risk6.0/10, Normal
Efficiency4.9/10, Average6.3/10, Effective
Combined risk8.6/10, High risk5.4/10, Normal
Relief innings, last 3 days10.75.3
Back-to-back arms52
3-day ERA3.371.69
3-day WHIP1.691.31

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
2.6
Market total
9.0
Projected away runs
0.8
Projected home runs
1.8
Over price
-102
Under price
-105
St. Louis Cardinals team total
0.8 projected
Line Not available · O Not available / U Not available
Market line pending
Toronto Blue Jays team total
1.8 projected
Line Not available · O Not available / U Not available
Market line pending

The model projects 6.4 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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