Prediction Details

MLB Prediction: Tampa Bay Rays vs Toronto Blue Jays (Saturday, September 27 at 03:05 PM ET)

Introduction

Updated

TB @ TORTB +135TOR -161O/U 8.5
Market / Trend TB TOR
Moneyline +135 -161
Total (O/U) 8.5
Run Line +1.5 (-158) -1.5 (135)
Last 5 RPG 4.0 4.0
Record 77–83 92–68
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: Tampa Bay Rays · Toronto Blue Jays

Tampa Bay enters this matchup analysis with a 2-3 mark over its last five, averaging 4.0 runs per game, while Toronto has also managed only 4.0 runs per game in that same span. Both lineups have underperformed relative to season averages, creating a narrow scoring window that sharp bettors should recognize. With Tampa Bay holding a 5–3 edge in the last eight head-to-head meetings, the Rays are positioned to extract value as the underdog. The profile here aligns with a disciplined, low-scoring MLB prediction that favors Tampa Bay and the Under.

Game Time

Starts in 14h 2m

Game time: Saturday, September 27 at 03:05 PM ET under the roof at Rogers Centre, pace quickens on turf.

Odds & Spread Line

  • Tampa Bay Rays: +135
  • Toronto Blue Jays: -161

Total: 8.5

  • Run Line — Tampa Bay Rays: +1.5 (-158)
  • Run Line — Toronto Blue Jays: -1.5 (+135)

Latest Team Records

Tampa Bay Rays: 77-83 (Win %: 0.481)
Toronto Blue Jays: 92-68 (Win %: 0.575)

Injury Report

Both teams are currently healthy with no major injury concerns.

Key Player Stats

Tampa Bay Rays

  • Junior Caminero: 0.26 AVG, 44 HR, 109 RBI
  • Yandy Diaz: 0.302 AVG, 25 HR, 83 RBI
  • Brandon Lowe: 0.258 AVG, 31 HR, 83 RBI

Toronto Blue Jays

  • George Springer: 0.303 AVG, 31 HR, 82 RBI
  • Bo Bichette: 0.311 AVG, 18 HR, 94 RBI
  • Vladimir Guerrero Jr.: 0.295 AVG, 23 HR, 83 RBI

Team Analysis

Tampa Bay Rays

The Rays’ 2-3 record across the last five contests reflects a team still searching for consistency, but their offensive baseline of 4.0 RPG suggests they are keeping games competitive. Junior Caminero’s power presence anchors the lineup, while Yandy Diaz provides on-base stability that balances the order. With a 36-43 road record, Tampa Bay has struggled away from home, yet their recent head-to-head dominance over Toronto shows they can elevate against this opponent.

Brandon Lowe adds secondary pop that forces pitchers to navigate the middle of the order carefully, preventing Toronto from controlling tempo. The club’s 4-6 mark in the last 10 games highlights the need for sharper execution, but the Rays continue to find timely production that keeps them in position to steal wins. Their pitching staff’s 3.87 ERA and 1.21 WHIP further strengthen the case for backing Tampa Bay in a tight, lower-scoring setting.

  • Batting Average: 0.252
  • Total Runs Scored: 707
  • Home Runs: 179
  • OBP: 0.313
  • SLG: 0.403
  • OPS: 0.716
  • ERA: 3.87
  • WHIP: 1.21

Away Record: 36-43 • Home Record: 41-40
Last 5 Games: 2-3 (4.0 RPG)
Last 10 Games: 4-6 (4.1 RPG)


Toronto Blue Jays

The Blue Jays own a strong 52-27 home record, but their 4-6 mark over the last 10 games with just 2.9 RPG reveals offensive inconsistency. George Springer has been a key contributor, yet the lineup has not translated individual production into sustained scoring. This lack of rhythm has left Toronto vulnerable, particularly against a Rays team that has proven capable of limiting their output in recent meetings.

Bo Bichette and Vladimir Guerrero Jr. provide quality contact and run production, but the supporting cast has not delivered enough to raise the team’s recent scoring average. Their 3-2 record in the last five games is serviceable, but with only 4.0 RPG in that stretch, Toronto continues to underwhelm relative to its season-long totals. The pitching staff’s 4.22 ERA adds further uncertainty, creating favorable conditions for Tampa Bay to capitalize on narrow margins.

  • Batting Average: 0.265
  • Total Runs Scored: 776
  • Home Runs: 185
  • OBP: 0.333
  • SLG: 0.425
  • OPS: 0.758
  • ERA: 4.22
  • WHIP: 1.27

Away Record: 40-41 • Home Record: 52-27
Last 5 Games: 3-2 (4.0 RPG)
Last 10 Games: 4-6 (2.9 RPG)


Head-to-Head History

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

  • September 26, 2025: TB 2 @ TOR 4
  • September 18, 2025: TOR 0 @ TB 4
  • 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

Over/Under Trends

Tampa Bay Rays’ last 10 games have averaged 8.6 total runs, with 5 games that would have cleared today’s total of 8.5.

Toronto Blue Jays’ last 10 games have averaged 8.1 combined runs, with 3 games clearing the same number of 8.5.

Moneyline Betting Prediction

Tampa Bay has consistently frustrated Toronto by winning five of the last eight meetings, and their pitching efficiency gives them an edge when games tighten late. With balanced production from Junior Caminero, Yandy Diaz, and Brandon Lowe, the Rays’ lineup is equipped to outlast a Blue Jays offense that has averaged only 2.9 RPG over its last 10. This makes Tampa Bay the sharper moneyline side to back with confidence.

Trend and context support the Tampa Bay Rays at +135 as the bet.

Over/Under Prediction

Recent five-game scoring: the Toronto Blue Jays are at 4.0 RPG and the Tampa Bay Rays at 4.0 — a useful baseline against the total.

These teams are combining for 8.0 runs per game recently — below the posted total of 8.5. That points toward the Under 8.5.

Bookmakers

Odds courtesy of: FanDuel, Fanatics, BetRivers, MyBookie.ag, Caesars, BetOnline.ag, LowVig.ag, DraftKings, BetMGM.

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MLB Predictions FAQ

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.

How does Parlamaz make Tampa Bay Rays vs Toronto Blue Jays 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.