- August 26, 2025
- Views 144
MLB Prediction: Chicago Cubs vs San Francisco Giants (Wednesday, August 27 at 09:45 PM ET)
Introduction
| Market / Trend | CHC | SF |
|---|---|---|
| Moneyline | -125 | +105 |
| Total (O/U) | 8.5 | |
| Run Line | -1.5 (135) | +1.5 (-155) |
| Last 5 RPG | 4.4 | 4.8 |
| Record | 76–55 | 63–68 |
| Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more | ||
More MLB picks: Chicago Cubs · San Francisco Giants
The Giants have taken three of the last four meetings from the Cubs, and their recent 3-2 stretch while averaging 4.8 runs per game signals a lineup that is trending upward. This matchup analysis points toward San Francisco Giants’ ability to generate timely offense at home against a Chicago squad that has been steady but not dominant on the road. With the Cubs averaging 4.4 runs across their last five, the scoring profile for both sides suggests a competitive game that favors the home side and an Over outcome.
Game Time
Scheduled for Wednesday, August 27 at 09:45 PM ET inside Oracle Park, fly balls die quickly.
Odds & Spread Line
- Chicago Cubs: -125
- San Francisco Giants: +105
Total: 8.5
- Run Line — Chicago Cubs: -1.5 (+135)
- Run Line — San Francisco Giants: +1.5 (-155)
Latest Team Records
Chicago Cubs: 76-55 (Win %: 0.58)
San Francisco Giants: 63-68 (Win %: 0.481)
Injury Report
Chicago Cubs are missing Miguel Amaya (Ankle), listed as 10-Day-IL; Nick Madrigal (Shoulder), listed as 60-Day-IL.
San Francisco Giants are missing Landen Roupp (Knee), listed as 15-Day-IL; Randy Rodriguez (Elbow), listed as 15-Day-IL; Erik Miller (Elbow), listed as 60-Day-IL; Jerar Encarnacion (Hamstring), listed as 10-Day-IL. No other significant injuries are reported.
Key Player Stats
Chicago Cubs
- Pete Crow-Armstrong: 0.254 AVG, 28 HR, 82 RBI
- Seiya Suzuki: 0.243 AVG, 27 HR, 87 RBI
- Michael Busch: 0.262 AVG, 24 HR, 74 RBI
San Francisco Giants
- Rafael Devers: 0.252 AVG, 25 HR, 83 RBI
- Willy Adames: 0.225 AVG, 22 HR, 65 RBI
- Heliot Ramos: 0.26 AVG, 15 HR, 55 RBI
Team Analysis
Chicago Cubs
The Cubs have maintained a 76-55 record, showing consistency across the season, but their last 5 games at 3-2 with 4.4 runs per game indicate a team that is managing wins without overwhelming opponents. Pete Crow-Armstrong has provided steady production, yet the offense as a whole has not consistently overpowered recent pitching staffs. On the road, their 35-31 mark demonstrates competence, but not dominance, leaving them vulnerable against a team that has been opportunistic at home like San Francisco.
Seiya Suzuki has been a reliable run producer, but the Cubs’ attack still leans on timely hits rather than sustained high-volume scoring. Michael Busch adds balance, though the road offense has not shown the same level of punch as at Wrigley, which matters in tight betting scenarios. With a 7-3 mark in their last 10, the Cubs remain competitive, but their current rhythm points to efficiency rather than explosive output.
- Batting Average: 0.249
- Total Runs Scored: 648
- Home Runs: 178
- OBP: 0.319
- SLG: 0.428
- OPS: 0.747
- ERA: 3.76
- WHIP: 1.19
Away Record: 35-31 • Home Record: 41-25
Last 5 Games: 3-2 (4.4 RPG)
Last 10 Games: 7-3 (4.0 RPG)
San Francisco Giants
The Giants enter with a 63-68 record, but their 3-2 stretch across the last five while averaging 4.8 runs per game shows an offense finding rhythm. Rafael Devers has anchored their scoring output, consistently driving in runs that have lifted the team in recent matchups. Their home form at 31-33 suggests they can hold their ground against a statistically stronger opponent, especially given their recent head-to-head success.
Willy Adames and Heliot Ramos have added needed depth to the middle of the order, giving San Francisco multiple threats capable of producing offense in key spots. The Giants’ 5-5 record over the last 10 games reflects balance, but the trend of scoring near five runs per contest in recent outings adds confidence in their ability to outscore Chicago here. Their situational edge at home and recent offensive consistency make them a sharper betting side than their overall record suggests.
- Batting Average: 0.231
- Total Runs Scored: 530
- Home Runs: 128
- OBP: 0.308
- SLG: 0.376
- OPS: 0.684
- ERA: 3.74
- WHIP: 1.29
Away Record: 33-35 • Home Record: 31-33
Last 5 Games: 3-2 (4.8 RPG)
Last 10 Games: 5-5 (3.8 RPG)
Head-to-Head History
San Francisco Giants lead 3–1 (Last 4 games)
- 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 7.3 total runs, with 2 games that would have cleared today’s total of 8.5.
San Francisco Giants’ last 10 games have averaged 7.6 combined runs, with 3 games clearing the same number of 8.5.
Moneyline Betting Prediction
The Giants’ recent 4.8 RPG pace, coupled with their 3-1 edge in the season series, emphasizes why they are the sharper side against a Cubs team that has been steadier rather than dominant on the road. With Devers driving the lineup and San Francisco showing consistent production at home, this matchup leans strongly toward the Giants controlling the scoring flow and extending their head-to-head advantage.
We’re backing the San Francisco Giants at +105 as the value side.
Over/Under Prediction
In their last five, the San Francisco Giants have produced 4.8 RPG and the Chicago Cubs 4.4. That output frames how this total sets up.
These teams are combining for 9.2 runs per game recently — above the posted total of 8.5. That points toward the Over 8.5
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MLB Predictions FAQ
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 27, 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 often are picks updated?
Daily. We update for confirmed lineups, injuries, and market moves. Check back near first pitch for final notes.
John TamburinoVerified
Lead Analyst — data-first, former college baseball.
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