Prediction Details

MLB Prediction: Pittsburgh Pirates vs Baltimore Orioles (Tuesday, September 9 at 06:35 PM ET)

Introduction

Updated

PIT @ BALPIT +133BAL -159O/U 8.0
Market / Trend PIT BAL
Moneyline +133 -159
Total (O/U) 8.0
Run Line +1.5 (-161) -1.5 (138)
Last 5 RPG 2.6 4.2
Record 64–80 66–77
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: Pittsburgh Pirates · Baltimore Orioles

Pittsburgh enters this interleague matchup against Baltimore with a 2-3 record over the last five games, averaging just 2.6 runs per contest, a clear indicator of their grind-it-out style. This MLB prediction leans on the Pirates’ ability to control tempo through strong pitching while Baltimore has shown scoring variance despite a 4-1 stretch in its last five. The contrast in recent run production points toward value on Pittsburgh Pirates’ side and a lower-scoring outcome under today’s total.

Game Time

Starts in 8h 45m

Scheduled for Tuesday, September 9 at 06:35 PM ET at Camden Yards, warm air can lift carry to the gaps.

Odds & Spread Line

  • Pittsburgh Pirates: +133
  • Baltimore Orioles: -159

Total: 8

  • Run Line — Pittsburgh Pirates: +1.5 (-161)
  • Run Line — Baltimore Orioles: -1.5 (+138)

Latest Team Records

Pittsburgh Pirates: 64-80 (Win %: 0.444)
Baltimore Orioles: 66-77 (Win %: 0.462)

Injury Report

The Pittsburgh Pirates are currently healthy with no major injury concerns.

Baltimore Orioles are missing Adley Rutschman (Oblique), listed as 10-Day-IL; Scott Blewett (Elbow), listed as 60-Day-IL; Jordan Westburg (Ankle), listed as 10-Day-IL. No other significant injuries are reported.

Key Player Stats

Pittsburgh Pirates

  • Bryan Reynolds: 0.248 AVG, 15 HR, 70 RBI
  • Andrew McCutchen: 0.244 AVG, 13 HR, 52 RBI
  • Tommy Pham: 0.261 AVG, 8 HR, 49 RBI

Baltimore Orioles

  • Gunnar Henderson: 0.274 AVG, 16 HR, 61 RBI
  • Jackson Holliday: 0.248 AVG, 17 HR, 53 RBI
  • Jordan Westburg: 0.276 AVG, 15 HR, 34 RBI

Team Analysis

Pittsburgh Pirates

The Pirates’ 2-3 mark across their last five games illustrates inconsistency, yet their pitching staff continues to keep them competitive with a 3.91 ERA that limits damage. While Bryan Reynolds anchors the lineup, Andrew McCutchen has provided timely run production when needed, ensuring the offense never fully stalls. Their 22-47 road record is concerning, but the ability to tighten games with pitching gives them a live underdog profile in this matchup.

Tommy Pham offers another steady bat that complements the top of the order, and his presence has been critical in games where offense is scarce. Despite averaging just 2.6 runs per game in their last five, the Pirates have balanced that with defensive stability, keeping contests within reach. The combination of selective offense and reliable pitching aligns with a strategy that can frustrate Baltimore Orioles’ rhythm in a low-scoring game.

  • Batting Average: 0.233
  • Total Runs Scored: 522
  • Home Runs: 102
  • OBP: 0.306
  • SLG: 0.351
  • OPS: 0.657
  • ERA: 3.91
  • WHIP: 1.23

Away Record: 22-47 • Home Record: 42-33
Last 5 Games: 2-3 (2.6 RPG)
Last 10 Games: 5-5 (3.9 RPG)


Baltimore Orioles

Baltimore Orioles’ 4-1 stretch in the last five games has been driven by consistent scoring at 4.2 runs per contest, with Gunnar Henderson and Jackson Holliday providing balance in the order. However, their 33-38 home record reveals vulnerability at Camden Yards, a weakness that undercuts their recent uptick. The Orioles’ pitching staff carries a 4.65 ERA, leaving room for opponents to capitalize in close games.

Even with Henderson’s steady production, the loss of Jordan Westburg to injury disrupts depth and forces more pressure on Holliday to sustain offense. Their 6-4 record across the last 10 games looks solid, but the inconsistency of their pitching has made margin of victory slim. At home, where they have struggled to create separation, this matchup leans toward Pittsburgh exploiting those gaps in a controlled, low-scoring contest.

  • Batting Average: 0.241
  • Total Runs Scored: 620
  • Home Runs: 172
  • OBP: 0.307
  • SLG: 0.403
  • OPS: 0.71
  • ERA: 4.65
  • WHIP: 1.38

Away Record: 33-39 • Home Record: 33-38
Last 5 Games: 4-1 (4.2 RPG)
Last 10 Games: 6-4 (4.8 RPG)


Head-to-Head History

No recent matchups between these teams in 2025.

Over/Under Trends

Pittsburgh Pirates’ last 10 games have averaged 8.2 total runs, with 3 games that would have cleared today’s total of 8.

Baltimore Orioles’ last 10 games have averaged 9.9 combined runs, with 4 games clearing the same number of 8.

Moneyline Betting Prediction

The Pirates’ ability to suppress scoring with a strong ERA while Baltimore has struggled to hold consistency at Camden Yards makes them the sharper moneyline angle. With Reynolds and McCutchen providing timely offense against a vulnerable pitching staff, Pittsburgh has the profile to dictate pace and secure an interleague road win.

The Pittsburgh Pirates at +133 fit a live underdog profile on recent numbers.

Over/Under Prediction

Recent five-game scoring: the Baltimore Orioles are at 4.2 RPG and the Pittsburgh Pirates at 2.6 — a useful baseline against the total.

These teams are combining for 6.8 runs per game recently — below the posted total of 8.0. That points toward the Under 8.0.

Bookmakers

These lines come from: FanDuel, LowVig.ag, Fanatics, BetOnline.ag, Caesars, MyBookie.ag, BetMGM, BetRivers, BetUS, DraftKings, Bovada.

Parlamaz may earn affiliate commissions from links in this article.

MLB Predictions FAQ

What’s a good price range for today’s pick (Sep 09, 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.