Prediction Details

MLB Prediction: Toronto Blue Jays vs Tampa Bay Rays (Wednesday, September 17 at 07:05 PM ET)

Introduction

Updated

TOR @ TBTOR -137TB +112O/U 8.0
Market / Trend TOR TB
Moneyline -137 +112
Total (O/U) 8.0
Run Line -1.5 (130) +1.5 (-158)
Last 5 RPG 6.0 3.6
Record 88–62 73–77
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: Toronto Blue Jays · Tampa Bay Rays

The Rays and Blue Jays enter this matchup with very different short-term trajectories, making this an intriguing MLB prediction. Toronto has ripped off a perfect 5-0 stretch while averaging 6.0 runs per game, but Tampa Bay still holds a 5-3 edge in the last eight head-to-heads. The Rays’ power bats, led by Junior Caminero’s 44 homers, provide the kind of run production that can flip a game quickly, and their balanced home profile keeps them dangerous even when recent results lag. With both lineups capable of stringing together extra-base hits, this contest sets up as a high-scoring affair where Tampa Bay Rays’ situational edge becomes the deciding factor.

Game Time

Starts in 16h 3m

Scheduled for Wednesday, September 17 at 07:05 PM ET at Tropicana Field, unders find support.

Odds & Spread Line

  • Toronto Blue Jays: -137
  • Tampa Bay Rays: +112

Total: 8

  • Run Line — Toronto Blue Jays: -1.5 (+130)
  • Run Line — Tampa Bay Rays: +1.5 (-158)

Latest Team Records

Toronto Blue Jays: 88-62 (Win %: 0.587)
Tampa Bay Rays: 73-77 (Win %: 0.487)

Injury Report

Both teams are currently healthy with no major injury concerns.

Key Player Stats

Toronto Blue Jays

  • Bo Bichette: 0.311 AVG, 18 HR, 94 RBI
  • George Springer: 0.302 AVG, 29 HR, 76 RBI
  • Vladimir Guerrero Jr.: 0.301 AVG, 23 HR, 80 RBI

Tampa Bay Rays

  • Junior Caminero: 0.26 AVG, 44 HR, 108 RBI
  • Yandy Diaz: 0.295 AVG, 24 HR, 80 RBI
  • Brandon Lowe: 0.256 AVG, 28 HR, 75 RBI

Team Analysis

Toronto Blue Jays

The Blue Jays are riding a 5-0 surge while averaging 6.0 runs per contest across that span, which signals a confident and locked-in offense. Bo Bichette’s ability to generate contact has paired effectively with George Springer’s power to keep pitchers under constant pressure. On the road, however, their 39-37 mark shows a team that often plays down to the environment, making them less dominant away from home despite their recent hot streak.

Toronto’s last 10 games at 7-3 with 4.6 runs per outing show a team that is consistent but not invincible. Vladimir Guerrero Jr. has been central to their production, but their reliance on a few key bats raises questions when facing a Rays unit that has controlled the series matchup this season. Even with momentum, the Blue Jays’ road form tempers expectations in a setting where Tampa Bay has proven resilient.

  • Batting Average: 0.269
  • Total Runs Scored: 751
  • Home Runs: 178
  • OBP: 0.337
  • SLG: 0.431
  • OPS: 0.768
  • ERA: 4.13
  • WHIP: 1.25

Away Record: 39-37 • Home Record: 50-25
Last 5 Games: 5-0 (6.0 RPG)
Last 10 Games: 7-3 (4.6 RPG)


Tampa Bay Rays

The Rays enter at 1-4 in their last 5 with 3.6 runs per game, but their home record is balanced at 38-38, indicating they hold their ground in this venue. Junior Caminero’s 44 home runs give the lineup a constant threat that can swing momentum instantly, particularly against opponents who have leaned heavily on offense to win. Despite their slump, Tampa Bay Rays’ power profile and head-to-head control in this series show why they remain a dangerous moneyline side here.

Across the last 10, the Rays are 2-8 with 3.2 RPG, reflecting inconsistency, yet Yandy Diaz and Brandon Lowe provide stability that can spark a turnaround. Tampa Bay Rays’ ability to produce extra-base hits and their proven success against Toronto this season highlight why the matchup tilts in their favor. Their balanced home performance combined with series dominance makes them a prime candidate to reverse recent struggles when it matters most.

  • Batting Average: 0.251
  • Total Runs Scored: 668
  • Home Runs: 171
  • OBP: 0.312
  • SLG: 0.403
  • OPS: 0.715
  • ERA: 3.88
  • WHIP: 1.21

Away Record: 35-40 • Home Record: 38-38
Last 5 Games: 1-4 (3.6 RPG)
Last 10 Games: 2-8 (3.2 RPG)


Head-to-Head History

Tampa Bay Rays lead 5–3 (Last 8 games)

  • September 16, 2025: TOR 6 @ TB 5
  • September 15, 2025: TOR 2 @ TB 1
  • May 25, 2025: TOR 0 @ TB 13
  • May 24, 2025: TOR 1 @ TB 3
  • May 23, 2025: TOR 1 @ TB 3
  • May 15, 2025: TB 8 @ TOR 3
  • May 14, 2025: TB 1 @ TOR 3
  • May 13, 2025: TB 11 @ TOR 9

Over/Under Trends

Toronto Blue Jays’ last 10 games have averaged 7.2 total runs, with 3 games that would have cleared today’s total of 8.

Tampa Bay Rays’ last 10 games have averaged 7.4 combined runs, with 5 games clearing the same number of 8.

Moneyline Betting Prediction

Tampa Bay Rays’ home balance, combined with their 5-3 series advantage, positions them as the sharper side despite recent struggles. With Junior Caminero anchoring a power-driven lineup and proven success against Toronto’s pitching, the Rays are the moneyline play to trust here.

Trend and context support the Tampa Bay Rays at +112 as the bet.

Over/Under Prediction

In their last five, the Tampa Bay Rays have produced 3.6 RPG and the Toronto Blue Jays 6.0. That output frames how this total sets up.

These teams are combining for 9.6 runs per game recently — above the posted total of 8.0. That points toward the Over 8.0.

Bookmakers

Find these odds at: BetOnline.ag, LowVig.ag, Caesars, FanDuel, DraftKings, FanDuel.

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MLB Predictions FAQ

What do moneyline, run line, and total mean?

Moneyline is who wins the game. Run line is a spread, usually ±1.5 runs. The total (over/under) is combined runs by both teams.

What’s a good price range for today’s pick (Sep 17, 2025)?

We list a target price in the post. If the market moves past that number, reduce stake size or pass instead of chasing worse odds.

How does Parlamaz make Toronto Blue Jays vs Tampa Bay Rays MLB predictions?

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John Tamburino

John TamburinoVerified

Lead Analyst — data-first, former college baseball.

John Tamburino grew up on travel baseball and three years of varsity basketball, then played college baseball before shifting to analytics. He still watches everything—from weekday tennis to all major league sports—and will never forget the Diamondbacks’ World Series run. At Parlamaz, John blends trusted data feeds with matchup context to find real value—no fluff, no paywalls.