Prediction Details

MLB Prediction: Tampa Bay Rays vs Baltimore Orioles (Thursday, September 25 at 01:05 PM ET)

Introduction

Updated

TB @ BALTB -130BAL +107O/U 8.5
Market / Trend TB BAL
Moneyline -130 +107
Total (O/U) 8.5
Run Line -1.5 (130) +1.5 (-155)
Last 5 RPG 4.6 2.8
Record 76–81 74–83
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: Tampa Bay Rays · Baltimore Orioles

Tampa Bay enters this matchup analysis off a 2-3 stretch in its last five games, averaging 4.6 runs per outing, while Baltimore has managed just 2.8 per game in the same span. The Rays’ steadier production compared to the Orioles’ slump offers a clear betting preview of where the edge lies. With both teams combining for just 7.4 runs per game recently, this contest projects tightly, but the Rays’ superior offensive balance and sharper run prevention make them the assertive side.

Game Time

Starts in 4h 8m

Opening pitch at Thursday, September 25 at 01:05 PM ET inside Camden Yards, aggressive lineups find extra bases.

Odds & Spread Line

  • Tampa Bay Rays: -130
  • Baltimore Orioles: +107

Total: 8.5

  • Run Line — Tampa Bay Rays: -1.5 (+130)
  • Run Line — Baltimore Orioles: +1.5 (-155)

Latest Team Records

Tampa Bay Rays: 76-81 (Win %: 0.484)
Baltimore Orioles: 74-83 (Win %: 0.471)

Injury Report

The Tampa Bay Rays are currently healthy with no major injury concerns.

Baltimore Orioles are missing Jackson Holliday (Knee), listed as Day-To-Day; Gary Sanchez (Knee), listed as 60-Day-IL.

Key Player Stats

Tampa Bay Rays

  • Junior Caminero: 0.259 AVG, 44 HR, 109 RBI
  • Yandy Diaz: 0.301 AVG, 25 HR, 83 RBI
  • Brandon Lowe: 0.258 AVG, 31 HR, 83 RBI

Baltimore Orioles

  • Gunnar Henderson: 0.272 AVG, 16 HR, 67 RBI
  • Jackson Holliday: 0.245 AVG, 17 HR, 55 RBI
  • Jordan Westburg: 0.264 AVG, 15 HR, 37 RBI

Team Analysis

Tampa Bay Rays

The Rays have shown uneven form, sitting at 2-3 over their last five games, but their 4.6 runs per game in that span highlights an offense that is still generating production. Yandy Diaz has been a stabilizing force in the lineup, providing consistent contact that helps elevate team on-base potential. On the road, Tampa Bay Rays’ record reflects challenges, yet their ability to score in clusters positions them strongly against Baltimore Orioles’ weaker pitching numbers.

Junior Caminero brings the long-ball threat that can tilt momentum, while Brandon Lowe’s power adds depth to the middle of the order. The Rays’ pitching staff has maintained control with a respectable ERA, giving them a clear advantage over a Baltimore roster that has struggled to sustain scoring. With their recent run production outpacing the Orioles, Tampa Bay Rays’ balanced attack gives them the betting edge.

  • Batting Average: 0.251
  • Total Runs Scored: 702
  • Home Runs: 179
  • OBP: 0.313
  • SLG: 0.402
  • OPS: 0.715
  • ERA: 3.85
  • WHIP: 1.21

Away Record: 36-41 • Home Record: 41-40
Last 5 Games: 2-3 (4.6 RPG)
Last 10 Games: 4-6 (3.8 RPG)


Baltimore Orioles

The Orioles’ 2-3 mark in their last five games lays bare an offense stuck in inconsistency, producing just 2.8 runs per game. Gunnar Henderson has flashed occasional power, but the supporting cast has not delivered enough sustained pressure to change outcomes. Baltimore Orioles’ home record shows they have not leveraged Camden Yards as a reliable advantage, leaving them vulnerable when facing more efficient lineups.

Jordan Westburg adds some balance, yet the lack of consistent run support has been a defining issue. The Orioles’ pitching staff has allowed too many scoring opportunities, reflected in an elevated ERA that leaves little margin for error. With their offense sputtering and home form offering no clear edge, Baltimore is set up poorly against Tampa Bay Rays’ steadier production.

  • Batting Average: 0.236
  • Total Runs Scored: 664
  • Home Runs: 183
  • OBP: 0.305
  • SLG: 0.394
  • OPS: 0.699
  • ERA: 4.57
  • WHIP: 1.36

Away Record: 36-42 • Home Record: 38-42
Last 5 Games: 2-3 (2.8 RPG)
Last 10 Games: 5-5 (3.1 RPG)


Head-to-Head History

Tied 4–4 (Last 8 games)

  • September 24, 2025: TB 6 @ BAL 2
  • September 23, 2025: TB 0 @ BAL 6
  • July 20, 2025: BAL 5 @ TB 3
  • July 19, 2025: BAL 3 @ TB 4
  • July 18, 2025: BAL 1 @ TB 11
  • June 29, 2025: TB 1 @ BAL 5
  • June 28, 2025: TB 11 @ BAL 3
  • June 27, 2025: TB 8 @ BAL 22

Over/Under Trends

Tampa Bay Rays’ last 10 games have averaged 7.9 total runs, with 4 games that would have cleared today’s total of 8.5.

Baltimore Orioles’ last 10 games have averaged 7.9 combined runs, with 2 games clearing the same number of 8.5.

Moneyline Betting Prediction

Tampa Bay Rays’ stronger run production in recent games, combined with more reliable pitching metrics and a balanced offensive core led by Junior Caminero and Brandon Lowe, separates them from Baltimore Orioles’ inconsistent attack. Factoring in the Orioles’ weak home record and recent scoring struggles, the Rays’ profile clearly makes them the superior moneyline side today.

Form and matchup edges favor the Tampa Bay Rays — back them.

Over/Under Prediction

Last five form shows the Baltimore Orioles at 2.8 RPG and the Tampa Bay Rays at 4.6, giving context for the number.

These teams are combining for 7.4 runs per game recently — below the posted total of 8.5. That points toward the Under 8.5.

Bookmakers

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

Parlamaz may earn affiliate commissions

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 25, 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.