Prediction Details

MLB Prediction: Arizona Diamondbacks vs San Francisco Giants (Tuesday, September 9 at 09:45 PM ET)

Introduction

Updated

ARI @ SFARI +120SF -145O/U 7.5
Market / Trend ARI SF
Moneyline +120 -145
Total (O/U) 7.5
Run Line +1.5 (-180) -1.5 (152)
Last 5 RPG 5.2 6.8
Record 72–72 72–71
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: Arizona Diamondbacks · San Francisco Giants

Arizona Diamondbacks’ recent stretch shows a 3-2 mark in their last five games with 5.2 runs per outing, but San Francisco has been far more explosive, averaging 6.8 runs across the same span. This matchup analysis points directly to the Giants’ elevated offensive rhythm, which has translated into 7.8 runs per game over their last 10 contests. With the Diamondbacks hovering at .500 and the Giants slightly above, the edge in form and consistency favors San Francisco in this MLB prediction.

Game Time

Starts in 11h 32m

Opening pitch at Tuesday, September 9 at 09:45 PM ET inside Oracle Park, fly balls die quickly.

Odds & Spread Line

  • Arizona Diamondbacks: +120
  • San Francisco Giants: -145

Total: 7.5

  • Run Line — Arizona Diamondbacks: +1.5 (-180)
  • Run Line — San Francisco Giants: -1.5 (+152)

Latest Team Records

Arizona Diamondbacks: 72-72 (Win %: 0.5)
San Francisco Giants: 72-71 (Win %: 0.503)

Injury Report

Arizona Diamondbacks are missing Tyler Locklear (Elbow), listed as 10-Day-IL; Pavin Smith (Quadriceps), listed as 60-Day-IL; Lourdes Gurriel Jr. (Knee), listed as 10-Day-IL. No other significant injuries are reported.

The San Francisco Giants are currently healthy with no major injury concerns.

Key Player Stats

Arizona Diamondbacks

  • Geraldo Perdomo: 0.284 AVG, 17 HR, 91 RBI
  • Corbin Carroll: 0.259 AVG, 30 HR, 74 RBI
  • Ketel Marte: 0.283 AVG, 25 HR, 64 RBI

San Francisco Giants

  • Rafael Devers: 0.263 AVG, 31 HR, 100 RBI
  • Willy Adames: 0.228 AVG, 27 HR, 78 RBI
  • Heliot Ramos: 0.267 AVG, 16 HR, 59 RBI

Team Analysis

Arizona Diamondbacks

The Diamondbacks have split their last 10 games at 6-4, showing flashes of offensive efficiency but lacking sustained dominance. Their last five contests at 3-2 with 5.2 runs per game highlight a lineup that can score but doesn’t always generate momentum. Geraldo Perdomo has been one of the steadier contributors, yet the team’s 34-39 road record underlines how inconsistent they’ve been away from home.

Corbin Carroll’s power has provided some spark, but the Diamondbacks have struggled to stack wins when traveling, leaving them vulnerable against higher-scoring home teams. Ketel Marte adds balance, though the offense tends to flatten when facing stronger pitching environments. The data points to a capable but uneven unit, and that instability makes them the weaker betting side in this spot.

  • Batting Average: 0.25
  • Total Runs Scored: 716
  • Home Runs: 198
  • OBP: 0.322
  • SLG: 0.435
  • OPS: 0.757
  • ERA: 4.48
  • WHIP: 1.32

Away Record: 34-39 • Home Record: 38-34
Last 5 Games: 3-2 (5.2 RPG)
Last 10 Games: 6-4 (4.9 RPG)


San Francisco Giants

The Giants have taken control offensively with 7-3 over their last 10 games while averaging 7.8 runs per contest, a pace that dwarfs most National League teams. Their 3-2 mark in the last five games still produced 6.8 runs per outing, underscoring how their bats remain potent even in tighter series. Rafael Devers has been the centerpiece, consistently driving in runs and setting the tone for the lineup.

Willy Adames adds another layer of power, while Heliot Ramos supplies depth that forces opposing pitchers to work through every at-bat. Their home record of 36-34 shows a balanced ability to capitalize in their own ballpark, and the scoring surge has made them one of the more reliable Over teams in recent weeks. With their current rhythm and lineup production, the Giants hold the clear betting edge.

  • Batting Average: 0.24
  • Total Runs Scored: 629
  • Home Runs: 157
  • OBP: 0.314
  • SLG: 0.393
  • OPS: 0.708
  • ERA: 3.75
  • WHIP: 1.29

Away Record: 37-37 • Home Record: 36-34
Last 5 Games: 3-2 (6.8 RPG)
Last 10 Games: 7-3 (7.8 RPG)


Head-to-Head History

Tied 4–4 (Last 8 games)

  • September 08, 2025: ARI 5 @ SF 11
  • July 03, 2025: SF 7 @ ARI 2
  • July 02, 2025: SF 6 @ ARI 5
  • July 01, 2025: SF 2 @ ARI 8
  • June 30, 2025: SF 2 @ ARI 4
  • May 14, 2025: ARI 8 @ SF 7
  • May 13, 2025: ARI 6 @ SF 10
  • May 12, 2025: ARI 2 @ SF 1

Over/Under Trends

Arizona Diamondbacks’ last 10 games have averaged 8.9 total runs, with 6 games that would have cleared today’s total of 7.5.

San Francisco Giants’ last 10 games have averaged 12.7 combined runs, with 8 games clearing the same number of 7.5.

Moneyline Betting Prediction

San Francisco Giants’ recent surge of 7-3 over their last 10 games, combined with nearly eight runs per outing, demonstrates a level of consistency the Diamondbacks have not matched on the road. With Devers anchoring the lineup and strong home scoring trends, the Giants are the superior side to back with confidence.

We’re backing the San Francisco Giants — the read is consistent across metrics.

Over/Under Prediction

Recent five-game scoring: the San Francisco Giants are at 6.8 RPG and the Arizona Diamondbacks at 5.2 — a useful baseline against the total.

These teams are combining for 12.0 runs per game recently — above the posted total of 7.5. That points toward the Over 7.5.

Bookmakers

MLB markets at: Caesars, DraftKings, MyBookie.ag, FanDuel, BetMGM.

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MLB Predictions FAQ

How does Parlamaz make Arizona Diamondbacks vs San Francisco Giants MLB predictions?

We use trusted data feeds and real-time odds to model each matchup. We weight the numbers that move lines—team form, matchup history, injuries, park factors, totals trends, and betting momentum—then compare our price to the market to find value. All signal, no noise. No paywalls.

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.

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.