Prediction Details

MLB Prediction: Toronto Blue Jays vs Tampa Bay Rays (Thursday, September 18 at 01:10 PM ET)

Introduction

Updated

TOR @ TBTOR -130TB +108O/U 7.5
Market / Trend TOR TB
Moneyline -130 +108
Total (O/U) 7.5
Run Line -1.5 (135) +1.5 (-155)
Last 5 RPG 5.0 3.2
Record 89–63 74–78
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: Toronto Blue Jays · Tampa Bay Rays

Tampa Bay Rays’ last 10 games have yielded just 3 wins while averaging 3.2 runs per game, a stark contrast to Toronto’s 7–3 mark with stronger offensive rhythm, setting the tone for this MLB prediction. The Blue Jays’ lineup is producing efficiently across recent series, while the Rays’ inconsistency at the plate has stalled momentum. With Toronto showing sharper form both in run production and consistency, the edge leans heavily toward the visiting side in a matchup that projects scoring above the posted total.

Game Time

Kicks off soon! Starts in 116m

First pitch is set for Thursday, September 18 at 01:10 PM ET inside the dome at Tropicana Field, carry is limited.

Odds & Spread Line

  • Toronto Blue Jays: -130
  • Tampa Bay Rays: +108

Total: 7.5

  • Run Line — Toronto Blue Jays: -1.5 (+135)
  • Run Line — Tampa Bay Rays: +1.5 (-155)

Latest Team Records

Toronto Blue Jays: 89-63 (Win %: 0.586)
Tampa Bay Rays: 74-78 (Win %: 0.487)

Injury Report

The Toronto Blue Jays are currently healthy with no major injury concerns.

Tampa Bay Rays are missing Manuel Rodriguez (Forearm), listed as 60-Day-IL.

Key Player Stats

Toronto Blue Jays

  • George Springer: 0.304 AVG, 29 HR, 78 RBI
  • Bo Bichette: 0.311 AVG, 18 HR, 94 RBI
  • Vladimir Guerrero Jr.: 0.3 AVG, 23 HR, 81 RBI

Tampa Bay Rays

  • Junior Caminero: 0.259 AVG, 44 HR, 108 RBI
  • Yandy Diaz: 0.299 AVG, 24 HR, 81 RBI
  • Brandon Lowe: 0.258 AVG, 29 HR, 79 RBI

Team Analysis

Toronto Blue Jays

The Blue Jays’ 4–1 record across their last 5 games highlights a surge in momentum that reinforces their offensive confidence. Averaging 5.0 runs per game in that stretch, the lineup has consistently applied pressure, with George Springer setting the tone early in key sequences. Their road record near .500 demonstrates resilience away from home, which aligns well with their current rhythm.

Over the last 10 games, Toronto has gone 7–3 with 4.6 RPG, showcasing a balanced attack that has kept them in control of late contests. Bo Bichette’s ability to drive in runs and Vladimir Guerrero Jr.’s consistent production give them multiple layers of threat. This balance makes them a stronger betting side against a Rays team struggling to find scoring consistency.

  • Batting Average: 0.269
  • Total Runs Scored: 758
  • Home Runs: 180
  • OBP: 0.336
  • SLG: 0.43
  • OPS: 0.766
  • ERA: 4.12
  • WHIP: 1.26

Away Record: 39-38 • Home Record: 50-25
Last 5 Games: 4-1 (5.0 RPG)
Last 10 Games: 7-3 (4.6 RPG)


Tampa Bay Rays

The Rays are 2–3 across their last 5 games, averaging only 3.2 runs per contest, which reflects offensive inconsistency. Junior Caminero’s power remains the centerpiece of their attack, yet the supporting cast has struggled to sustain rallies. Their 39–38 home record reveals mediocrity at Tropicana Field, weakening their betting appeal.

At 3–7 over the last 10 games, Tampa Bay Rays’ offensive struggles have persisted, limiting their ability to stay competitive in higher-scoring environments. Yandy Diaz has provided steady contact hitting, but Brandon Lowe’s streaky production has left the lineup uneven. Against a surging Toronto side, this lack of rhythm at home signals clear vulnerability.

  • Batting Average: 0.251
  • Total Runs Scored: 675
  • Home Runs: 172
  • OBP: 0.313
  • SLG: 0.403
  • OPS: 0.716
  • ERA: 3.86
  • WHIP: 1.21

Away Record: 35-40 • Home Record: 39-38
Last 5 Games: 2-3 (3.2 RPG)
Last 10 Games: 3-7 (3.2 RPG)


Head-to-Head History

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

  • September 17, 2025: TOR 1 @ TB 2
  • 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

Over/Under Trends

Toronto Blue Jays’ last 10 games have averaged 7.1 total runs, with 3 games that would have cleared today’s total of 7.5.

Tampa Bay Rays’ last 10 games have averaged 7.2 combined runs, with 5 games clearing the same number of 7.5.

Moneyline Betting Prediction

Toronto’s sharper 7–3 stretch over the last 10 games combined with a 4–1 recent run reveals superior form compared to Tampa Bay Rays’ 3–7 skid. With consistent production from George Springer, Bo Bichette, and Vladimir Guerrero Jr., the Blue Jays’ offense is positioned to outmatch the Rays’ inconsistent home results and recent scoring struggles. This makes the Toronto Blue Jays the clear moneyline side with confidence.

Markets point to the Toronto Blue Jays as the correct angle.

Over/Under Prediction

Last five form shows the Tampa Bay Rays at 3.2 RPG and the Toronto Blue Jays at 5.0, giving context for the number.

These teams are combining for 8.2 runs per game recently — above the posted total of 7.5. That points toward the Over 7.5.

Bookmakers

Available at: FanDuel, MyBookie.ag, Fanatics, LowVig.ag, BetOnline.ag, Caesars, DraftKings, BetMGM, BetUS, BetRivers, Bovada.

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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 18, 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 should I size my bets?

Use a consistent unit (about 1–2% of bankroll). Singles should be most of your volume. We like parlays—smart ones. Keep legs tight (2–3), cap risk to 0.25–0.5u, and pass when the price isn’t there.

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.