- September 16, 2025
- Views 112
MLB Prediction: Baltimore Orioles vs Chicago White Sox (Tuesday, September 16 at 07:40 PM ET)
Introduction
| Market / Trend | BAL | CWS |
|---|---|---|
| Moneyline | -103 | -108 |
| Total (O/U) | 8.0 | |
| Run Line | -1.5 (156) | +1.5 (-193) |
| Last 5 RPG | 2.8 | 1.8 |
| Record | 70–80 | 57–94 |
| Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more | ||
More MLB picks: Baltimore Orioles · Chicago White Sox
Baltimore has averaged just 2.8 runs per game across its last five, while Chicago has been stuck at 1.8, setting up a low-scoring profile for this matchup analysis. Both offenses have shown inefficiency, but the White Sox at home present a sharper edge against an Orioles team that has struggled to sustain production on the road. With unders cashing consistently in these scoring ranges, the betting value aligns with Chicago and the game staying below the total.
Game Time
Slated for Tuesday, September 16 at 07:40 PM ET inside Guaranteed Rate Field, run creation trends higher.
Odds & Spread Line
- Baltimore Orioles: -103
- Chicago White Sox: -108
Total: 8
- Run Line — Baltimore Orioles: -1.5 (+156)
- Run Line — Chicago White Sox: +1.5 (-193)
Latest Team Records
Baltimore Orioles: 70-80 (Win %: 0.467)
Chicago White Sox: 57-94 (Win %: 0.377)
Injury Report
Baltimore Orioles are missing Shawn Dubin (Elbow), listed as 15-Day-IL; Trevor Rogers (Toe), listed as Day-To-Day; Colin Selby (Hamstring), listed as 15-Day-IL. No other significant injuries are reported.
Chicago White Sox are missing Max Stassi (Undisclosed), listed as Day-To-Day.
Key Player Stats
Baltimore Orioles
- Gunnar Henderson: 0.269 AVG, 16 HR, 62 RBI
- Jackson Holliday: 0.255 AVG, 17 HR, 55 RBI
- Jordan Westburg: 0.276 AVG, 15 HR, 34 RBI
Chicago White Sox
- Lenyn Sosa: 0.26 AVG, 20 HR, 68 RBI
- Andrew Benintendi: 0.24 AVG, 19 HR, 60 RBI
- Miguel Vargas: 0.231 AVG, 14 HR, 53 RBI
Team Analysis
Baltimore Orioles
The Orioles enter this contest at 70-80 overall, with their last 5 games producing a 2-3 mark and just 2.8 runs per game. That offensive inconsistency has been amplified on the road, where their record sits below .500 and scoring output has dipped further. Even with Gunnar Henderson showing flashes of power, the team’s inability to string together runs has limited their betting appeal.
Looking at the last 10 games, Baltimore is 6-4 but still averaging only 2.7 runs, confirming their struggles to generate consistent offense despite a winning record. Jackson Holliday and Jordan Westburg have chipped in, but the lack of collective rhythm has kept totals low and prevented them from capitalizing on opportunities. Against a White Sox team that has contained scoring in recent matchups, Baltimore Orioles’ road inefficiency remains a liability.
- Batting Average: 0.239
- Total Runs Scored: 639
- Home Runs: 177
- OBP: 0.307
- SLG: 0.398
- OPS: 0.705
- ERA: 4.61
- WHIP: 1.37
Away Record: 34-42 • Home Record: 36-38
Last 5 Games: 2-3 (2.8 RPG)
Last 10 Games: 6-4 (2.7 RPG)
Chicago White Sox
The White Sox hold a 57-94 record, but their 32-44 mark at home provides a more favorable context than their road form. Despite going just 1-4 in their last 5 games, the team’s pitching has kept contests manageable, allowing their offense to grind out wins when Lenyn Sosa and Andrew Benintendi make timely contributions. Even in a slump, Chicago’s home environment gives them the situational edge over an Orioles team struggling to score consistently away from home.
Across the last 10 games, Chicago is 4-6 with 3.2 runs per game, showing more balance than the recent 1.8 RPG dip suggests. Miguel Vargas has added depth to the order, and the team’s ability to limit damage with a steadier ERA positions them well in a low-scoring matchup. Given Baltimore Orioles’ inefficiency on the road, the White Sox’s situational advantage makes them the sharper betting side.
- Batting Average: 0.234
- Total Runs Scored: 601
- Home Runs: 151
- OBP: 0.303
- SLG: 0.374
- OPS: 0.676
- ERA: 4.21
- WHIP: 1.36
Away Record: 25-50 • Home Record: 32-44
Last 5 Games: 1-4 (1.8 RPG)
Last 10 Games: 4-6 (3.2 RPG)
Head-to-Head History
Baltimore Orioles lead 4–0 (Last 4 games)
- September 15, 2025: BAL 4 @ CHW 1
- June 01, 2025: CHW 2 @ BAL 3
- May 31, 2025: CHW 2 @ BAL 4
- May 30, 2025: CHW 1 @ BAL 2
Over/Under Trends
Baltimore Orioles’ last 10 games have averaged 6.4 total runs, with 2 games that would have cleared today’s total of 8.
Chicago White Sox’s last 10 games have averaged 7.2 combined runs, with 4 games clearing the same number of 8.
Moneyline Betting Prediction
Chicago’s home splits, steadier pitching, and ability to keep contests tight make them a superior betting side compared to Baltimore Orioles’ uneven road form. With Lenyn Sosa and Andrew Benintendi providing the most reliable offensive sparks in this matchup, the White Sox are positioned to control tempo and secure the result.
Form and matchup edges favor the Chicago White Sox — back them.
Over/Under Prediction
In their last five, the Chicago White Sox have produced 1.8 RPG and the Baltimore Orioles 2.8. That output frames how this total sets up.
These teams are combining for 4.6 runs per game recently — below the posted total of 8.0. That points toward the Under 8.0.
Bookmakers
These lines come from: FanDuel, Fanatics, MyBookie.ag, BetRivers, Caesars, LowVig.ag, BetOnline.ag, BetMGM, DraftKings, Bovada, BetUS.
Parlamaz may earn affiliate commissions from links in this article.
MLB Predictions FAQ
How does Parlamaz make Baltimore Orioles vs Chicago White Sox 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.
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 TamburinoVerified
Lead Analyst — data-first, former college baseball.
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