Tampa Bay Rays vs Toronto Blue Jays Prediction
Expert prediction, odds analysis, and best bet for Tampa Bay Rays vs Toronto Blue Jays on July 22, 2026.
Win Probability
Best Bet
Current Odds
API-Sports| Team | Moneyline | Run Line | Total | Impl. Prob. |
|---|---|---|---|---|
Tampa Bay RaysAway | -110 | -238 | -111 | 52% |
Toronto Blue JaysHome | -110 | +180 | -111 | 52% |
Additional Full-Game Markets
First 5 Innings (F5)
Statistical Analysis
- 1
Toronto Blue Jays project 3.9 runs: 4.0 RF/G offense vs 4.2 RA/G Tampa Bay Rays pitching.
- 2
Tampa Bay Rays project 5.1 runs: 4.5 RF/G offense vs 4.6 RA/G Toronto Blue Jays pitching.
- 3
Toronto Blue Jays season record: 46–55 (46% win rate).
- 4
Tampa Bay Rays season record: 58–42 (58% win rate).
- 5
Toronto Blue Jays home: 4.0 RF/G, 4.8 RA/G (46% home win rate).
- 6
Toronto Blue Jays last 5: 1.6 RF/G, 6.8 RA/G (1d rest, 5 G last 7d).
- 7
Tampa Bay Rays last 5: 5.8 RF/G, 4.2 RA/G (1d rest, 6 G last 7d).
- 8
Moneyline edge vs market: -12.3%.
How This Prediction Was Made
Show model inputs ▼
Team Data Inputs
| Metric | Rays | Jays |
|---|---|---|
| Season Win% | 58.0% | 45.5% |
| Games Played | 100 | 101 |
| Season RF/G | 4.54 | 3.96 |
| Season RA/G | 4.24 | 4.56 |
| Run Diff/G | 0.30 | -0.60 |
| Last-5 RF/G | 5.80 | 1.60 |
| Last-5 RA/G | 4.20 | 6.80 |
| Venue RF/G | 4.28 | 3.98 |
| Venue RA/G | 4.40 | 4.76 |
| Venue Win% | 46.0% | 46.3% |
| Form (last-5) | 2/5 W | 1/5 W |
| Rest Days | 1 | 1 |
| Games (Last 7d) | 6 | 5 |
| Data Quality | 100% | 100% |
Run Projection Formula
Projected runs = weighted blend of offense + opponent defense (season & recent) + venue split.
| Component | Value | Wt | Contrib |
|---|---|---|---|
| Season RF/G | 4.54 | 30% | 1.362 |
| Opp Season RA/G | 4.56 | 30% | 1.369 |
| Recent RF/G (5G) | 5.80 | 15% | 0.870 |
| Opp Recent RA/G | 6.80 | 15% | 1.020 |
| Venue RF/G | 4.28 | 5% | 0.214 |
| Opp Venue RA/G | 4.76 | 5% | 0.238 |
| Projected runs | 5.1 | ||
| Component | Value | Wt | Contrib |
|---|---|---|---|
| Season RF/G | 3.96 | 30% | 1.188 |
| Opp Season RA/G | 4.24 | 30% | 1.272 |
| Recent RF/G (5G) | 1.60 | 15% | 0.240 |
| Opp Recent RA/G | 4.20 | 15% | 0.630 |
| Venue RF/G | 3.98 | 5% | 0.199 |
| Opp Venue RA/G | 4.40 | 5% | 0.220 |
| Home bonus | 0.12 | — | 0.120 |
| Projected runs | 3.9 | ||
Win Probability Blend (Home)
Three signals are blended to produce the final home win probability.
| Signal | Prob | Weight | Contribution |
|---|---|---|---|
| Run margin (projected score diff) | 37.9% | 65% | 24.64% |
| Team strength (win% + venue) | 44.2% | 25% | 11.05% |
| Recent form (last-5 W/L) | 44.0% | 10% | 4.40% |
| Final home win probability | 40% | ||
Confidence Score Breakdown
| Factor | Points |
|---|---|
| Base (win probability distance from 50%) | +56 |
| Run margin bonus (larger margin = more predictable) | +4.8 |
| Data quality adjust (more game history = tighter estimates) | +10 |
| Form agreement (recent form aligns with season record) | 0 |
| Market odds available (confirms edge vs vig) | 0 |
| Final confidence score (high) | 71 |
Market Edge Analysis
Edge = model probability minus market-implied probability. Positive edge = model sees value vs the book.
| Bet Type | Edge | Signal |
|---|---|---|
| Moneyline | -12.3% | ✓ fade |
| Run Line (-1.5) | -33.0% | ✓ fade |
| Over/Under | +4.9% | ✓ value |
| Jays Team Total | -2.0% | no edge |
| Rays Team Total | +11.3% | ✓ value |
| F5 Moneyline | -4.9% | ✓ fade |
| F5 Over/Under | +3.5% | no edge |
4%+ edge threshold required for a value bet recommendation.
Tampa Bay Rays vs Toronto Blue Jays Prediction — Expert Analysis
Our model projects Tampa Bay Rays to win this matchup with a 60% win probability. The predicted final score is Rays 5.1 – Jays 3.9.
Tampa Bay Rays come into this game with a 58-42 record, good for a 58.0% winning percentage.
Toronto Blue Jays are 46-55 at home this season, with a 45.5% overall win rate. Home field advantage gives them an additional 3-4% boost to their projected win probability.
Our best bet for this matchup is the Over 8, which carries a high confidence rating based on current statistical inputs.