Prediction Details

MLB Prediction: San Francisco Giants vs Milwaukee Brewers (Friday, August 22 at 08:10 PM ET)

Introduction

Updated

SF @ MILSF +145MIL -175O/U 8.5
Market / Trend SF MIL
Moneyline +145 -175
Total (O/U) 8.5
Run Line +1.5 (-145) -1.5 (123)
Last 5 RPG 3.4 3.8
Record 61–67 80–48
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: San Francisco Giants · Milwaukee Brewers

The Giants enter this matchup analysis on a 2-8 slide across their last 10 games, averaging just 2.7 runs per contest, a slump that has eroded any offensive rhythm. Milwaukee, meanwhile, sits atop their division with an 80-48 record and a dominant 42-20 home mark, establishing a clear betting edge. With San Francisco Giants’ lineup failing to sustain scoring consistency, this MLB prediction leans heavily toward the Brewers’ ability to control tempo while keeping the total runs suppressed.

Game Time

Starts in 18h 35m

This one goes at Friday, August 22 at 08:10 PM ET at American Family Field, roofed conditions stabilize carry.

Odds & Spread Line

  • San Francisco Giants: +145
  • Milwaukee Brewers: -175

Total: 8.5

  • Run Line — San Francisco Giants: +1.5 (-145)
  • Run Line — Milwaukee Brewers: -1.5 (+123)

Latest Team Records

San Francisco Giants: 61-67 (Win %: 0.477)
Milwaukee Brewers: 80-48 (Win %: 0.625)

Injury Report

Both teams are currently healthy with no major injury concerns.

Key Player Stats

San Francisco Giants

  • Rafael Devers: 0.254 AVG, 24 HR, 82 RBI
  • Heliot Ramos: 0.265 AVG, 15 HR, 53 RBI
  • Wilmer Flores: 0.247 AVG, 13 HR, 63 RBI

Milwaukee Brewers

  • Christian Yelich: 0.264 AVG, 26 HR, 87 RBI
  • Jackson Chourio: 0.276 AVG, 17 HR, 67 RBI
  • Brice Turang: 0.284 AVG, 13 HR, 62 RBI

Team Analysis

San Francisco Giants

San Francisco Giants’ 2-3 record over the last five games and a 2-8 mark over their last ten highlights a team lacking rhythm. Their 3.4 runs per game in that stretch is barely serviceable, and the 2.7 average across ten underlines a prolonged slump. Rafael Devers has supplied some power but hasn’t been able to lift the lineup’s overall run production. On the road, their 31-34 record reinforces how often they fail to deliver consistent offense away from home.

Heliot Ramos and Wilmer Flores have chipped in occasional production, but the lack of sustained rallies has left San Francisco vulnerable to extended scoring droughts. This inconsistency makes them a difficult side to trust against an opponent thriving at home. With their pitching staff carrying the load, the offense has simply not matched the required level to compete with teams of Milwaukee Brewers’ caliber. The Giants’ betting outlook remains weak until they show offensive improvement.

  • Batting Average: 0.232
  • Total Runs Scored: 511
  • Home Runs: 121
  • OBP: 0.308
  • SLG: 0.374
  • OPS: 0.682
  • ERA: 3.72
  • WHIP: 1.28

Away Record: 31-34 • Home Record: 30-33
Last 5 Games: 2-3 (3.4 RPG)
Last 10 Games: 2-8 (2.7 RPG)


Milwaukee Brewers

Milwaukee Brewers’ 80-48 season record and commanding 42-20 home mark underline their ability to dictate games at this venue. Their last five contests produced a 2-3 record with 3.8 runs per game, but the ten-game stretch at 6-4 and 6.3 runs per game shows their offensive ceiling remains intact. Christian Yelich continues to anchor the lineup with reliable power and run production, ensuring the Brewers maintain pressure on opposing pitchers.

Jackson Chourio’s consistency and Brice Turang’s balanced hitting have added depth, making Milwaukee Brewers’ offense far more reliable than San Francisco Giants’. Even when their scoring dips, the Brewers’ pitching staff and home dominance provide a strong foundation for bettors. Their ability to outlast weaker offenses is evident, and their current form supports backing them confidently in this matchup.

  • Batting Average: 0.258
  • Total Runs Scored: 653
  • Home Runs: 135
  • OBP: 0.332
  • SLG: 0.405
  • OPS: 0.737
  • ERA: 3.58
  • WHIP: 1.22

Away Record: 38-28 • Home Record: 42-20
Last 5 Games: 2-3 (3.8 RPG)
Last 10 Games: 6-4 (6.3 RPG)


Head-to-Head History

San Francisco Giants lead 3–1 (Last 4 games)

  • April 24, 2025: MIL 5 @ SF 6
  • April 23, 2025: MIL 2 @ SF 4
  • April 22, 2025: MIL 11 @ SF 3
  • April 21, 2025: MIL 2 @ SF 5

Over/Under Trends

San Francisco Giants’ last 10 games have averaged 8.1 total runs, with 4 games that would have cleared today’s total of 8.5.

Milwaukee Brewers’ last 10 games have averaged 9.9 combined runs, with 5 games clearing the same number of 8.5.

Moneyline Betting Prediction

Milwaukee Brewers’ dominant 42-20 home record and superior offensive output over the last ten games stand in sharp contrast to San Francisco Giants’ 2-8 slump. With Christian Yelich driving production and consistent support from Jackson Chourio and Brice Turang, the Brewers hold a clear edge in lineup depth and scoring reliability. Combined with their pitching stability, Milwaukee is the side positioned to control this contest from start to finish.

Markets point to the Milwaukee Brewers as the correct angle.

Over/Under Prediction

Recent five-game scoring: the Milwaukee Brewers are at 3.8 RPG and the San Francisco Giants at 3.4 — a useful baseline against the total.

These teams are combining for 7.2 runs per game recently — below the posted total of 8.5. That points toward the Under 8.5.

Bookmakers

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

Parlamaz may earn affiliate commissions from links in this article.

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.

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.

How does Parlamaz make San Francisco Giants vs Milwaukee Brewers 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.

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 UFC—and will never forget the Diamondbacks’ 2001 run. At Parlamaz, John blends trusted data feeds with matchup context to find real value—no fluff, no paywalls.