Prediction Details

MLB Prediction: Milwaukee Brewers vs Toronto Blue Jays (Friday, August 29 at 07:05 PM ET)

Introduction

Updated

MIL @ TORMIL +110TOR -128O/U 7.5
Market / Trend MIL TOR
Moneyline +110 -128
Total (O/U) 7.5
Run Line +1.5 (-190) -1.5 (164)
Last 5 RPG 5.0 6.8
Record 83–51 78–56
Lines: BetMGM, BetOnline.ag, BetRivers, BetUS +7 more

More MLB picks: Milwaukee Brewers · Toronto Blue Jays

Milwaukee Brewers’ 38-28 road record signals resilience in hostile environments, and that travel form becomes pivotal in this interleague matchup analysis with Toronto. The Brewers’ recent 5.0 runs per game across the last five contests show enough offensive consistency to pressure a Blue Jays lineup that has been scoring 6.8 per game in that same span. With both clubs combining for double-digit output recently, this MLB prediction leans toward Milwaukee Brewers’ ability to edge Toronto in a high-scoring affair that clears the posted total.

Game Time

Starts in 21h 7m

Opening pitch at Friday, August 29 at 07:05 PM ET under the roof at Rogers Centre, pace quickens on turf.

Odds & Spread Line

  • Milwaukee Brewers: +110
  • Toronto Blue Jays: -128

Total: 7.5

  • Run Line — Milwaukee Brewers: +1.5 (-190)
  • Run Line — Toronto Blue Jays: -1.5 (+164)

Latest Team Records

Milwaukee Brewers: 83-51 (Win %: 0.619)
Toronto Blue Jays: 78-56 (Win %: 0.582)

Injury Report

Milwaukee Brewers are missing Connor Thomas (Elbow), listed as 60-Day-IL; Garrett Mitchell (Shoulder), listed as 60-Day-IL.

The Toronto Blue Jays are currently healthy with no major injury concerns.

Key Player Stats

Milwaukee Brewers

  • Christian Yelich: 0.271 AVG, 26 HR, 90 RBI
  • Brice Turang: 0.284 AVG, 15 HR, 67 RBI
  • Jackson Chourio: 0.276 AVG, 17 HR, 67 RBI

Toronto Blue Jays

  • Bo Bichette: 0.307 AVG, 16 HR, 86 RBI
  • George Springer: 0.303 AVG, 24 HR, 67 RBI
  • Vladimir Guerrero Jr.: 0.292 AVG, 21 HR, 72 RBI

Team Analysis

Milwaukee Brewers

The Brewers’ 2-3 mark in their last five games reflects a team searching for rhythm, but their 5.0 runs per game in that span indicates the offense is producing enough to stay competitive. Christian Yelich has provided steady middle-order production, giving this lineup a reliable anchor against Toronto’s arms. On the road, Milwaukee Brewers’ 38-28 record demonstrates consistent execution away from home, a critical edge in interleague play.

Brice Turang and Jackson Chourio add balance to the attack, ensuring the Brewers don’t rely on a single bat to generate scoring. Their recent 4-6 stretch over ten games looks modest, yet the offensive baseline of nearly four runs per game keeps them in striking distance in most contests. With a staff ERA of 3.61 backing this offense, Milwaukee has the profile to convert scoring chances into a decisive win even in a hitter-friendly environment.

  • Batting Average: 0.258
  • Total Runs Scored: 684
  • Home Runs: 143
  • OBP: 0.332
  • SLG: 0.406
  • OPS: 0.739
  • ERA: 3.61
  • WHIP: 1.23

Away Record: 38-28 • Home Record: 45-24
Last 5 Games: 2-3 (5.0 RPG)
Last 10 Games: 4-6 (3.9 RPG)


Toronto Blue Jays

The Blue Jays’ 3-2 record over their last five games reflects a team maintaining balance, but their 6.8 runs per game in that span highlight an offense firing at a high rate. Bo Bichette’s ability to drive in runs keeps Toronto dangerous in the middle of the order, especially at home where they’ve gone 44-22. That strong home form makes them formidable, but it also sets up a high-scoring contest when paired with Milwaukee Brewers’ attack.

George Springer’s consistency and Vladimir Guerrero Jr.’s run production ensure Toronto can put pressure on opposing pitchers quickly. Their 5-5 mark over the last ten games shows inconsistency in results despite strong offensive numbers, suggesting run support has not always translated into wins. With an ERA of 4.23, the pitching staff has left openings for opponents, and against a disciplined Brewers lineup, that vulnerability is enough to tilt value toward Milwaukee.

  • Batting Average: 0.268
  • Total Runs Scored: 664
  • Home Runs: 162
  • OBP: 0.337
  • SLG: 0.431
  • OPS: 0.769
  • ERA: 4.23
  • WHIP: 1.26

Away Record: 34-34 • Home Record: 44-22
Last 5 Games: 3-2 (6.8 RPG)
Last 10 Games: 5-5 (5.3 RPG)


Head-to-Head History

No recent matchups between these teams in 2025.

Over/Under Trends

Milwaukee Brewers’ last 10 games have averaged 8.5 total runs, with 5 games that would have cleared today’s total of 7.5.

Toronto Blue Jays’ last 10 games have averaged 10.5 combined runs, with 7 games clearing the same number of 7.5.

Moneyline Betting Prediction

Milwaukee Brewers’ superior road record and ability to generate steady run support against a Toronto staff with a higher ERA make them the sharper side. With Yelich leading a balanced lineup and the Brewers’ pitching keeping opponents contained, Milwaukee is positioned to out-execute Toronto in this interleague spot.

Form and matchup create value on the Milwaukee Brewers at +110.

Over/Under Prediction

Recent five-game scoring: the Toronto Blue Jays are at 6.8 RPG and the Milwaukee Brewers at 5.0 — a useful baseline against the total.

These teams are combining for 11.8 runs per game recently — above the posted total of 7.5. That points toward the Over 7.5.

Bookmakers

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

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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’s a good price range for today’s pick (Aug 29, 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.

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.