Prediction Details

MLB Prediction: Chicago Cubs vs San Francisco Giants (Thursday, August 28 at 03:45 PM ET)

Introduction

Updated

CHC @ SFCHC +100SF -110O/U 7.0
Market / Trend CHC SF
Moneyline +100 -110
Total (O/U) 7.0
Run Line +1.5 (-210) -1.5 (178)
Last 5 RPG 4.8 6.4
Record 76–56 64–68
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: Chicago Cubs · San Francisco Giants

San Francisco has surged offensively with 6.4 runs per game across its last five, and that scoring punch shapes this MLB prediction against a Cubs team averaging 4.8 in the same span. The Giants’ aggressive hitting has consistently pressured opponents, while Chicago Cubs’ road form has been steady but less explosive. With San Francisco controlling four of the last five head-to-heads, the matchup analysis points squarely toward the home side and a game script trending past the posted total.

Game Time

Starts in 15h 25m

The action begins at Thursday, August 28 at 03:45 PM ET inside Oracle Park, fly balls die quickly.

Odds & Spread Line

  • Chicago Cubs: +100
  • San Francisco Giants: -110

Total: 7

  • Run Line — Chicago Cubs: +1.5 (-210)
  • Run Line — San Francisco Giants: -1.5 (+178)

Latest Team Records

Chicago Cubs: 76-56 (Win %: 0.576)
San Francisco Giants: 64-68 (Win %: 0.485)

Injury Report

Chicago Cubs are missing Nick Madrigal (Shoulder), listed as 60-Day-IL; Miguel Amaya (Ankle), listed as 10-Day-IL; Michael Soroka (Shoulder), listed as 15-Day-IL. No other significant injuries are reported.

San Francisco Giants are missing Jerar Encarnacion (Hamstring), listed as 10-Day-IL.

Key Player Stats

Chicago Cubs

  • Pete Crow-Armstrong: 0.256 AVG, 28 HR, 82 RBI
  • Seiya Suzuki: 0.244 AVG, 27 HR, 87 RBI
  • Michael Busch: 0.261 AVG, 24 HR, 74 RBI

San Francisco Giants

  • Rafael Devers: 0.252 AVG, 25 HR, 84 RBI
  • Heliot Ramos: 0.264 AVG, 15 HR, 56 RBI
  • Willy Adames: 0.223 AVG, 22 HR, 65 RBI

Team Analysis

Chicago Cubs

The Cubs enter with a strong overall record, but their recent 3-2 mark in the last five games shows a team in neutral rhythm rather than one building dominance. Pete Crow-Armstrong has been a steady power piece, yet the lineup has not consistently turned opportunities into runs. Their road record remains above .500, but it hasn’t translated into the same offensive spark that San Francisco has shown at home.

Seiya Suzuki provides middle-order production, and Michael Busch adds balance, but Chicago Cubs’ scoring has hovered under five runs per game recently, showing a lack of sustained bursts. The Cubs’ pitching has kept them competitive, but the offense needs more consistent sequencing to keep up with San Francisco Giants’ recent pace. Against a Giants roster that has been punishing opponents regularly, Chicago Cubs’ away form looks vulnerable in this spot.

  • Batting Average: 0.249
  • Total Runs Scored: 650
  • Home Runs: 178
  • OBP: 0.319
  • SLG: 0.427
  • OPS: 0.746
  • ERA: 3.77
  • WHIP: 1.19

Away Record: 35-32 • Home Record: 41-25
Last 5 Games: 3-2 (4.8 RPG)
Last 10 Games: 6-4 (3.9 RPG)


San Francisco Giants

The Giants’ 4-1 record over the last five games with 6.4 runs per outing reflects a lineup hitting stride at the right time. Rafael Devers has been a power anchor, and the team’s confidence at home is evident in their offensive surge. The Giants’ ability to string together crooked innings has been decisive, putting them in position to dictate pace early.

Heliot Ramos has provided timely production, while Willy Adames adds punch deeper in the order, making San Francisco more balanced than earlier stretches of the season. Their home record, while near even, now aligns with improved scoring trends that give them a sharper edge against visiting opponents. With run production nearly two runs higher than Chicago Cubs’ recent output, the Giants have the clear upper hand in this meeting.

  • Batting Average: 0.231
  • Total Runs Scored: 535
  • Home Runs: 130
  • OBP: 0.308
  • SLG: 0.377
  • OPS: 0.685
  • ERA: 3.72
  • WHIP: 1.28

Away Record: 33-35 • Home Record: 32-33
Last 5 Games: 4-1 (6.4 RPG)
Last 10 Games: 6-4 (4.9 RPG)


Head-to-Head History

San Francisco Giants lead 4–1 (Last 5 games)

  • August 27, 2025: CHC 3 @ SF 12
  • August 26, 2025: CHC 2 @ SF 5
  • May 07, 2025: SF 3 @ CHC 1
  • May 06, 2025: SF 14 @ CHC 5
  • May 05, 2025: SF 2 @ CHC 9

Over/Under Trends

Chicago Cubs’ last 10 games have averaged 8.1 total runs, with 3 games that would have cleared today’s total of 7.

San Francisco Giants’ last 10 games have averaged 8.8 combined runs, with 6 games clearing the same number of 7.

Moneyline Betting Prediction

San Francisco Giants’ recent scoring surge, combined with a 4-1 head-to-head advantage and clear edge in offensive rhythm, makes them the side with superior betting value. Their home output has consistently pressured visiting teams, and with Devers leading a balanced lineup, the Giants are positioned to control this matchup decisively.

Data supports the San Francisco Giants as the right side.

Over/Under Prediction

Last five form shows the San Francisco Giants at 6.4 RPG and the Chicago Cubs at 4.8, giving context for the number.

These teams are combining for 11.2 runs per game recently — above the posted total of 7.0. That points toward the Over 7.0.

Bookmakers

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

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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 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 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.