Prediction Details

MLB Prediction: San Francisco Giants vs Milwaukee Brewers (Saturday, August 23 at 07:10 PM ET)

Introduction

Updated

SF @ MILSF +122MIL -135O/U 7.5
Market / Trend SF MIL
Moneyline +122 -135
Total (O/U) 7.5
Run Line +1.5 (-194) -1.5 (160)
Last 5 RPG 2.8 3.4
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 reeling from a 1-4 run in their last five contests, averaging just 2.8 runs per game, while the Brewers have maintained steadier output despite a 2-3 stretch. This betting preview highlights a stark contrast in momentum, with Milwaukee Brewers’ 43-20 home record providing a decisive edge. With San Francisco Giants’ offense stuck in neutral, this MLB prediction leans firmly toward the Brewers controlling pace in a lower-scoring contest.

Game Time

Starts in 17h 33m

On tap at Saturday, August 23 at 07:10 PM ET at American Family Field, roofed conditions stabilize carry.

Odds & Spread Line

  • San Francisco Giants: +122
  • Milwaukee Brewers: -135

Total: 7.5

  • Run Line — San Francisco Giants: +1.5 (-194)
  • Run Line — Milwaukee Brewers: -1.5 (+160)

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, 25 HR, 83 RBI
  • Heliot Ramos: 0.263 AVG, 15 HR, 53 RBI
  • Wilmer Flores: 0.247 AVG, 13 HR, 63 RBI

Milwaukee Brewers

  • Christian Yelich: 0.262 AVG, 26 HR, 87 RBI
  • Jackson Chourio: 0.276 AVG, 17 HR, 67 RBI
  • Brice Turang: 0.286 AVG, 14 HR, 64 RBI

Team Analysis

San Francisco Giants

The Giants’ 1-4 mark in their last five games lays bare their offensive problems, with just 2.8 runs per game in that stretch. On the road, their 31-35 record reflects inconsistency, and the lack of dependable production has left them chasing games early. Rafael Devers has power numbers but hasn’t been enough to carry a lineup that struggles to string together rallies when pressure builds away from home.

With only two wins in their last ten contests, San Francisco continues to face confidence issues at the plate. Heliot Ramos and Wilmer Flores have provided intermittent sparks, yet the overall lineup has failed to sustain meaningful scoring rhythm. Until the Giants find a way to stabilize their offense, particularly in hostile environments, their betting outlook remains weak against elite home sides like Milwaukee.

  • Batting Average: 0.231
  • Total Runs Scored: 515
  • Home Runs: 123
  • OBP: 0.308
  • SLG: 0.375
  • OPS: 0.683
  • ERA: 3.75
  • WHIP: 1.29

Away Record: 31-35 • Home Record: 30-33
Last 5 Games: 1-4 (2.8 RPG)
Last 10 Games: 2-8 (3.0 RPG)


Milwaukee Brewers

The Brewers’ 80-48 record and 43-20 home mark confirm their dominance at American Family Field. Despite a 2-3 run in their last five games, their 5.4 runs per game across the last ten shows a lineup capable of delivering sustained pressure. Christian Yelich continues to anchor the order, ensuring Milwaukee maintains a balanced attack even when results tighten.

Jackson Chourio and Brice Turang have been critical in keeping the offense productive, adding depth behind Yelich and forcing opponents to pitch carefully throughout the order. At home, Milwaukee consistently translates this depth into scoreboard control, and their pitching staff’s 3.56 ERA provides the stability to lock down leads. With superior rhythm, home advantage, and a deeper lineup, the Brewers are positioned to dictate tempo and secure another win here.

  • Batting Average: 0.258
  • Total Runs Scored: 657
  • Home Runs: 136
  • OBP: 0.332
  • SLG: 0.404
  • OPS: 0.736
  • ERA: 3.56
  • WHIP: 1.23

Away Record: 38-28 • Home Record: 43-20
Last 5 Games: 2-3 (3.4 RPG)
Last 10 Games: 6-4 (5.4 RPG)


Head-to-Head History

San Francisco Giants lead 3–2 (Last 5 games)

  • August 22, 2025: SF 4 @ MIL 5
  • 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 8.5 total runs, with 6 games that would have cleared today’s total of 7.5.

Milwaukee Brewers’ last 10 games have averaged 9.4 combined runs, with 5 games clearing the same number of 7.5.

Moneyline Betting Prediction

Milwaukee Brewers’ superior home record, deeper lineup production, and steadier scoring rhythm make them the clear value side against a Giants team stuck in a prolonged offensive slump. With Christian Yelich driving consistency and Jackson Chourio and Brice Turang adding reliable secondary threats, the Brewers are built to exploit San Francisco Giants’ lack of road firepower. Their ability to control games at American Family Field ensures the advantage stays with Milwaukee.

Data supports the Milwaukee Brewers as the right side.

Over/Under Prediction

Last five form shows the Milwaukee Brewers at 3.4 RPG and the San Francisco Giants at 2.8, giving context for the number.

These teams are combining for 6.2 runs per game recently — below the posted total of 7.5. That points toward the Under 7.5.

Bookmakers

Odds courtesy of: FanDuel, MyBookie.ag, LowVig.ag, BetOnline.ag, Caesars, DraftKings, Bovada, BetMGM, Fanatics, BetRivers, BetUS.

Parlamaz may earn affiliate commissions from links in this article.

MLB Predictions FAQ

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.

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 (Aug 23, 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.

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.