MLB matchup analysis

Blue Jays vs Rays Prediction, Odds and Model Pick

Wednesday, August 19, 2026 at Tropicana Field · 6:40 PM ET

Value Watch

LyDia prediction: Tampa Bay Rays moneyline

Lab Rating
8.2/10
Model lean
Rays 74.3%
Market probability
64.7%
Model edge
+9.6%
Best moneyline
-193
Sportsbooks checked
9
LyDia model
74.3%
Market
64.7%

The case for Tampa Bay Rays

Starting pitcher edge: 42 points
LyDia gives Drew Rasmussen a 42-point edge over Max Scherzer, driven mainly by HR/9 (0.84 vs 2.41) and ERA (2.78 vs 6.59).
Bats are hot: +0.023 wOBA
Tampa Bay Rays is outhitting its own season form over the last 15 days. Recent form is context, not a model input, but it points the same way here.

The case for Toronto Blue Jays

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

Why it is not official

Own bullpen carries risk: 8.8/10
The Tampa Bay Rays bullpen comes in high risk. A lead after six innings is less safe than usual.

Why the setup score is what it is

Conviction: 20/20
LyDia's win probability for Tampa Bay Rays (74.3%) is well clear of a coin flip -- this is a real, stated lean, not a guess.
Pitching plan: 20/20
Drew Rasmussen rates 42 points better than Max Scherzer on LyDia's pitcher score. That is a real edge, and it earns most or all of the available credit here.
Bullpen: 7.37/20
LyDia does not see a meaningful bullpen edge for Tampa Bay Rays here.
Offense: 34.65/40
Tampa Bay Rays's recent offensive form clearly outpaces Toronto Blue Jays's over the tracked windows.

Why the price is what it is

Team strength: 56.5%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes Tampa Bay Rays 56.5% to win. Everything below moves the price from this starting point.
Pitcher score gap: 42 points
The pitcher-score gap favors Tampa Bay Rays by 42 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: -0.042
The bullpen-fatigue gap between the two pens nudges the price toward Toronto Blue Jays. This moves the price less than the starting pitchers do, since a starter covers more of the game than the bullpen.
Net effect: 56.5% -> 74.3%
Team strength alone had Tampa Bay Rays at 56.5%. After the pitcher and bullpen terms, the price is 74.3% -- the same number shown as Model Lean above.
The verdict Real value, not an official bet. The +9.6% edge on Tampa Bay Rays is genuine, but own bullpen carries risk: 8.8/10. If you play it, you are taking on risk LyDia's official card will not.
Read the full model output

Tampa Bay Rays is a value watch, not an official pick. LyDia projects 74.3% against a 64.7% no-vig market number, a 9.6% model edge at -193. Lab Rating 8.2/10: conviction 20, pitching plan 20, bullpen 7.37, offense 34.65. Tampa Bay Rays's pen efficiency: Below average (3.1/10). It stayed a value watch under the stricter official-pick review. Lineup check: Tampa Bay Rays is swinging a hot bat (+0.060 OPS); Toronto Blue Jays is near its season form (+0.002 OPS).

Game information

MatchupToronto Blue Jays at Tampa Bay Rays
DateWednesday, August 19, 2026
First pitch6:40 PM ET
VenueTropicana Field
Starting pitchersMax Scherzer vs Drew Rasmussen
WeatherGame-time forecast: 90°F, 11% precipitation chance, 9 mph wind from NW.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Max ScherzerBlue Jays · RHP
vs
Drew RasmussenRays · RHP
MetricBlue JaysRays
Pitching planLimited starterTraditional starter
Expected innings45⅔
ThrowsRR
LyDia pitcher score (higher is better)3981
ERA (lower is better)6.592.78
WHIP (lower is better)1.460.91
K/9 (higher is better)6.89.3
K-BB% (higher is better)7.7%21.7%
K% (higher is better)17.1%26.3%
BB% (lower is better)9.4%4.5%
BB/9 (lower is better)3.71.6
HR/9 (lower is better)2.40.8
Ground-ball rate36.0%50.8%
Fly-ball rate64.0%49.2%

Pitcher edge: LyDia gives Drew Rasmussen a 42-point edge over Max Scherzer, driven mainly by HR/9 (0.84 vs 2.41) and ERA (2.78 vs 6.59).

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 →

Max Scherzer strikeouts
2.5 LyDia projected Ks
Qualifying projection: UNDER 3.5K · -1.0K difference
Market 3.5K · O -113 / U -107 · 6 books
Drew Rasmussen strikeouts
5.4 LyDia projected Ks
No K play · -0.1K difference is below LyDia's 0.7K threshold
Market 5.5K · O +132 / U -155 · 6 books

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

Blue Jays are 7-3 in their last 10 and averaging 4.3 runs per game over the last 15 days; Rays are 6-4 in their last 10, averaging 5.7 runs per game over the last 15 days, and swinging above their season form. On the season Rays carry the better run differential per game (+0.38 against -0.41).

MetricBlue JaysRays
Last 107-36-4
Last 10 by venue (away team on the road, home team at home)6-4 on the road4-6 at home
OPS, last 15 days0.6840.800
wOBA, last 15 days (hot/cold read)0.3020.349
Runs per game, last 15 days4.35.7
K% last 15 days (lower is better)20.2%15.7%

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 daysBlue JaysRays
OPS0.666 (-0.016 vs szn)0.771 (+0.031 vs szn)
Runs per game3.75 (-0.203 vs szn)5.04 (+0.469 vs szn)
wOBA (model offense input)0.295 (-0.006 vs szn)0.336 (+0.010 vs szn)
K% (lower is better)19.0%18.0% (-0.7% vs szn)

Over the last 30 days the Rays have been the better offense, 0.336 wOBA to 0.295. They are running hot against their own season line (+0.010 wOBA).

Season profile

Full Stats page →
MetricBlue JaysRays
Record62-6575-50
Run differential / game (team quality)-0.41+0.38
Runs scored / game (offense, season)3.954.57
Runs allowed / game (defense, season, lower better)4.364.18
Season OPS0.6820.740
K% season (lower is better)19.5%18.7%
OPS vs opposing hand (season)0.7030.765

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. Blue Jays and Rays are highlighted.

Blue Jays
Combined risk
7.4 Tired
Fatigue
7.3 Tired
Efficiency
4.9 Average
Rays
Combined risk
8.8 High risk
Fatigue
7.8 Tired
Efficiency
3.1 Below 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.

MetricBlue JaysRays
Fatigue7.3/10, Tired7.8/10, Tired
Efficiency4.9/10, Average3.1/10, Below average
Combined risk7.4/10, Tired8.8/10, High risk
Relief innings, last 7 days26.032.3
Back-to-back arms96
7-day ERA4.506.40
7-day WHIP1.231.67

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
7.3
Market total
7.5
Projected away runs
2.7
Projected home runs
4.6
Over price
+107
Under price
-114
Toronto Blue Jays team total
2.7 projected
Line 2.5 · O -140 / U +116
No team-total lean
Tampa Bay Rays team total
4.6 projected
Line 4.5 · O +114 / U -120
No team-total lean

The model and market are close. Team totals remain research-only until their graded sample is established.

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