Prediction Details

MLB Prediction: Chicago White Sox vs Minnesota Twins (Tuesday, September 2 at 07:40 PM ET)

Introduction

Updated

CWS @ MINCWS +125MIN -149O/U 9.5
Market / Trend CWS MIN
Moneyline +125 -149
Total (O/U) 9.5
Run Line +1.5 (-160) -1.5 (135)
Last 5 RPG 3.6 6.0
Record 50–88 62–75
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +5 more

More MLB picks: Chicago White Sox · Minnesota Twins

The Twins have dropped 6 of their last 10 while averaging just 5.3 runs per game, a trend that sets the stage for a tight contest. This matchup analysis points directly to the White Sox, who despite a losing record, have split their last 10 and shown steadier scoring balance. With both lineups producing inconsistent stretches and the White Sox recently taking two straight in this head-to-head, the value side and total lean are clear.

Game Time

Starts in 7h 40m

Scheduled for Tuesday, September 2 at 07:40 PM ET at Target Field, cooler evening air keeps scoring modest.

Odds & Spread Line

  • Chicago White Sox: +125
  • Minnesota Twins: -149

Total: 9.5

  • Run Line — Chicago White Sox: +1.5 (-160)
  • Run Line — Minnesota Twins: -1.5 (+135)

Latest Team Records

Chicago White Sox: 50-88 (Win %: 0.362)
Minnesota Twins: 62-75 (Win %: 0.453)

Injury Report

Chicago White Sox are missing Chase Meidroth (Ankle), listed as Day-To-Day; Miguel Vargas (Hand), listed as 10-Day-IL.

Minnesota Twins are missing David Festa (Shoulder), listed as 15-Day-IL; Christian Vazquez (Shoulder), listed as 10-Day-IL.

Key Player Stats

Chicago White Sox

  • Lenyn Sosa: 0.266 AVG, 18 HR, 61 RBI
  • Andrew Benintendi: 0.238 AVG, 15 HR, 49 RBI
  • Mike Tauchman: 0.275 AVG, 8 HR, 37 RBI

Minnesota Twins

  • Byron Buxton: 0.272 AVG, 29 HR, 72 RBI
  • Trevor Larnach: 0.252 AVG, 16 HR, 54 RBI
  • Brooks Lee: 0.244 AVG, 14 HR, 57 RBI

Team Analysis

Chicago White Sox

The White Sox sit at 50-88 overall but have managed a 5-5 record in their last 10 games, showing a level of balance despite their season struggles. Their last 5 games at 2-3 with 3.6 runs per game highlight inconsistency, but that output still keeps them competitive against a Minnesota team that has faltered. Lenyn Sosa’s production has been a stabilizing factor, and his ability to drive in runs provides Chicago with a reliable offensive spark.

On the road, the White Sox are just 20-46, but their recent head-to-head success against Minnesota offsets that weakness. Andrew Benintendi and Mike Tauchman have combined to stretch opposing pitching with timely hits, giving Chicago enough depth to exploit the Twins’ uneven pitching. With steady bullpen support and a defense that has limited major collapses, the White Sox carry the sharper betting angle entering this matchup.

  • Batting Average: 0.234
  • Total Runs Scored: 542
  • Home Runs: 138
  • OBP: 0.302
  • SLG: 0.374
  • OPS: 0.676
  • ERA: 4.23
  • WHIP: 1.37

Away Record: 20-46 • Home Record: 30-42
Last 5 Games: 2-3 (3.6 RPG)
Last 10 Games: 5-5 (4.5 RPG)


Minnesota Twins

The Twins have gone 2-3 over their last 5 games while averaging 6.0 runs per contest, but their 4-6 mark in the last 10 signals a team lacking rhythm. Byron Buxton has been the centerpiece of their offense, yet even his production has not been enough to mask defensive lapses and bullpen inconsistency. Playing at home with a 35-33 record, they have been respectable, but not dominant enough to warrant confidence against a familiar opponent.

Trevor Larnach and Brooks Lee have added depth to the order, but their recent scoring has not consistently translated into wins. Minnesota Twins’ pitching staff has struggled to contain even middle-tier offenses, and that leaves them vulnerable against a White Sox lineup that has already beaten them three times in the last four meetings. With pressure mounting and recent losses stacking, the Twins do not offer the same betting edge as their opponent.

  • Batting Average: 0.238
  • Total Runs Scored: 578
  • Home Runs: 163
  • OBP: 0.311
  • SLG: 0.397
  • OPS: 0.708
  • ERA: 4.47
  • WHIP: 1.32

Away Record: 27-42 • Home Record: 35-33
Last 5 Games: 2-3 (6.0 RPG)
Last 10 Games: 4-6 (5.3 RPG)


Head-to-Head History

Tied 4–4 (Last 8 games)

  • September 01, 2025: CHW 6 @ MIN 5
  • August 24, 2025: MIN 0 @ CHW 8
  • August 23, 2025: MIN 3 @ CHW 7
  • August 22, 2025: MIN 9 @ CHW 7
  • April 24, 2025: CHW 3 @ MIN 0
  • April 23, 2025: CHW 3 @ MIN 6
  • April 22, 2025: CHW 2 @ MIN 4
  • April 02, 2025: MIN 6 @ CHW 1

Over/Under Trends

Chicago White Sox’s last 10 games have averaged 9.7 total runs, with 5 games that would have cleared today’s total of 9.5.

Minnesota Twins’ last 10 games have averaged 12.3 combined runs, with 8 games clearing the same number of 9.5.

Moneyline Betting Prediction

The White Sox have split their last 10 and just beat Minnesota in back-to-back contests, proving they can translate modest scoring into results. With multiple hitters contributing and the Twins showing defensive lapses at home, Chicago is the sharper side to back for this matchup.

We rate the Chicago White Sox at +125 as the right side at current form.

Over/Under Prediction

Recent five-game scoring: the Minnesota Twins are at 6.0 RPG and the Chicago White Sox at 3.6 — a useful baseline against the total.

With both clubs averaging 9.6 runs per game recently, we’re expecting a Over 9.5 outcome.

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MLB Predictions FAQ

How does Parlamaz make Chicago White Sox vs Minnesota Twins 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 (Sep 02, 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 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.