Prediction Details

MLB Prediction: San Francisco Giants vs St. Louis Cardinals (Friday, September 5 at 08:15 PM ET)

Introduction

Updated

SF @ STLSF -110STL -110O/U 8.5
Market / Trend SF STL
Moneyline -110 -110
Total (O/U) 8.5
Run Line -1.5 (156) +1.5 (-194)
Last 5 RPG 7.8 3.6
Record 71–69 70–71
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: San Francisco Giants · St. Louis Cardinals

San Francisco Giants’ surge is undeniable, with a 9-1 record over the last 10 games and nearly 8 runs per contest driving them into a strong betting position. This MLB prediction leans toward the Giants thanks to their relentless scoring pace, which dwarfs the Cardinals’ modest 4.0 RPG over the same span. With St. Louis producing at a far lower clip, the matchup sets up for San Francisco to extend its momentum while pushing this total beyond the posted number.

Game Time

Starts in 20h 8m

On tap at Friday, September 5 at 08:15 PM ET at pitcher-friendly Busch Stadium in St. Louis.

Odds & Spread Line

  • San Francisco Giants: -110
  • St. Louis Cardinals: -110

Total: 8.5

  • Run Line — San Francisco Giants: -1.5 (+156)
  • Run Line — St. Louis Cardinals: +1.5 (-194)

Latest Team Records

San Francisco Giants: 71-69 (Win %: 0.507)
St. Louis Cardinals: 70-71 (Win %: 0.496)

Injury Report

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

St. Louis Cardinals are missing Giovanny Gallegos (Undisclosed), listed as Day-To-Day.

Key Player Stats

San Francisco Giants

  • Rafael Devers: 0.262 AVG, 30 HR, 97 RBI
  • Willy Adames: 0.23 AVG, 26 HR, 76 RBI
  • Heliot Ramos: 0.268 AVG, 16 HR, 59 RBI

St. Louis Cardinals

  • Willson Contreras: 0.254 AVG, 20 HR, 78 RBI
  • Alec Burleson: 0.286 AVG, 16 HR, 60 RBI
  • Ivan Herrera: 0.284 AVG, 13 HR, 53 RBI

Team Analysis

San Francisco Giants

The Giants have caught fire, winning 4 of their last 5 and 9 of their last 10 while averaging nearly 8 runs per game in both stretches. That kind of offensive rhythm makes them a dangerous road side, particularly with Rafael Devers anchoring the lineup and providing consistent production. Their ability to overwhelm opponents with early scoring has translated into strong results away from home, where they’ve been slightly above .500.

Heliot Ramos has added balance to the order, complementing the power bats and sustaining rallies that turn into crooked numbers. Willy Adames continues to drive in runs, further solidifying a lineup that has been punishing opponents during this surge. With their recent road scoring output, San Francisco enters this matchup with clear momentum and confidence that directly supports a moneyline investment.

  • Batting Average: 0.238
  • Total Runs Scored: 605
  • Home Runs: 150
  • OBP: 0.313
  • SLG: 0.389
  • OPS: 0.702
  • ERA: 3.78
  • WHIP: 1.29

Away Record: 36-35 • Home Record: 35-34
Last 5 Games: 4-1 (7.8 RPG)
Last 10 Games: 9-1 (7.9 RPG)


St. Louis Cardinals

The Cardinals have been steady but unspectacular, going 3-2 in their last 5 and 6-4 across 10 while averaging just over 4 runs per game. Willson Contreras has provided some pop in the middle of the order, but the supporting cast has not consistently elevated run totals. At home they’ve been solid overall, yet their current scoring pace lags far behind what San Francisco has produced recently.

Alec Burleson has been one of the more reliable bats, but Ivan Herrera’s contributions have not been enough to offset the lineup’s uneven stretches. With just 3.6 RPG over their last 5, St. Louis enters this contest lacking the offensive firepower to match the Giants’ explosive form. That leaves them vulnerable in a head-to-head where the offensive gap is decisive despite the home-field edge.

  • Batting Average: 0.247
  • Total Runs Scored: 613
  • Home Runs: 135
  • OBP: 0.315
  • SLG: 0.384
  • OPS: 0.699
  • ERA: 4.25
  • WHIP: 1.31

Away Record: 31-38 • Home Record: 39-33
Last 5 Games: 3-2 (3.6 RPG)
Last 10 Games: 6-4 (4.0 RPG)


Head-to-Head History

No recent matchups between these teams in 2025.

Over/Under Trends

San Francisco Giants’ last 10 games have averaged 12.5 total runs, with 7 games that would have cleared today’s total of 8.5.

St. Louis Cardinals’ last 10 games have averaged 8.4 combined runs, with 5 games clearing the same number of 8.5.

Moneyline Betting Prediction

San Francisco Giants’ 9-1 surge with nearly 8 runs per game makes them the superior side against a Cardinals team averaging just 4.0 RPG over its last 10. With Devers driving the middle of the order and Ramos providing added production, the Giants’ offensive edge and balanced road record make them the clear moneyline play in this matchup.

Data supports the San Francisco Giants as the right side.

Over/Under Prediction

Recent five-game scoring: the St. Louis Cardinals are at 3.6 RPG and the San Francisco Giants at 7.8 — a useful baseline against the total.

These teams are combining for 11.4 runs per game recently — above the posted total of 8.5. That points toward the Over 8.5.

Bookmakers

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

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MLB Predictions FAQ

How often are picks updated?

Daily. We update for confirmed lineups, injuries, and market moves. Check back near first pitch for final notes.

What’s a good price range for today’s pick (Sep 05, 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.