Milwaukee Brewers at New York Mets, MLB forecast
Win probability
Starts from the pregame forecast, then moves with the score and the time left after each inning. Above the line favors NYM.
Game center
From the ESPN box score.
Top performers
- Andruw MonasterioBatting1-3, 1 HR, 1 RBI
- Jose QuintanaPitching5.1 IP, 3 ER, 3 K
- Brandon NimmoBatting1-4, 1 HR, 1 RBI
- David PetersonPitching6.2 IP, 1 ER, 4 K
Scoring summary
- 7
Monasterio homered to left (376 feet).2–3 - 6
Alonso doubled to center, Lindor scored, Soto to third.1–3 - 6
Soto singled to right, Marte scored, Lindor to third.1–2 - 4
Durbin reached on infield single to third, Contreras scored, Collins to second.1–1 - 2
Nimmo homered to right (363 feet).0–1
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Mets 59%
Forecast Elo ratings alone
How often that comes true: MLB favorites the forecast gave 55–60% have won 55.5% of 2,596 graded games.
- Market
- NYM 59%
- ML MIL +135 / NYM -160
- Pre-line forecast
- NYM 55%
- Elo + market-implied
- Elo ratings
- NYM 49%
- Ratings vs. market
- −10.1 pts
- NYM: Elo 49.1%, market 59.1%
- Fair odds
- NYM -145
- MIL +145 · the forecast as odds, no margin
- Pregame projection
- MIL 3.8 – 4.7 NYM
- Margin from the forecast, posted total 8.5
How the number is built
Elo inputs in rating points (higher favors that team; 25–28 Elo is about a point of spread in football and basketball), then how the pieces combine.
| Factor | MIL | NYM | Why |
|---|---|---|---|
| Team rating | 1539 | 1524 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +3 | −6 | MIL: Jose Quintana: team allows 0.15 fewer runs than with its usual starter (≈10 weighted starts) · NYM: David Peterson: team allows 0.31 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | MIL +6 Elo | MIL 50.9% | |
| Market-implied ratings | NYM 55.6% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | NYM 54.6% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | NYM 59.1% | Follows the market (vig removed): in testing, adding the ratings made it less accurate | |
Tale of the tape
This season coming into the game, regular season, each number with its league rank (the longer the bar, the higher). Home and road: the host's record at home against the visitor's on the road. Opponent Elo: how strong the teams each has played are, 1st the toughest.
| MIL | Stat | |
|---|---|---|
| 8th of 304.7 | Runs scored | 4.315th of 30 |
| 13th of 304.1 | Runs allowed | 3.96th of 30 |
| 6th of 30+0.7 | Margin | +0.49th of 30 |
| 6th of 307–3 | Last 10 | 3–724th of 30 |
| 7th of 3021–21 | Road vs home | 30–131st of 30 |
| 23rd of 301496 | Opponent Elo | 149819th of 30 |
| 4th of 301539 | Elo rating | 15249th of 30 |
Rating history
Each team's Elo over the last two seasons. Hover or drag to compare on any date.
Recent form
Last five results, and whether the forecast hit.
Against the line
How each team has done against the closing spread and total, coming into this game.
| This season | ||
|---|---|---|
| Run line | 45–41 | 41–46 |
| Last 10 | 7–3 | 4–6 |
| Favorite | 20–23 | 25–36 |
| Underdog | 25–18 | 16–10 |
| Overs–unders | 36–50 | 38–49 |
| Overs–unders, last 10 | 6–4 | 7–3 |
Against each game's closing line. Books set every line knowing these records: across 3,901 past games, the team with the better record against the spread so far that season covered 51.2%, short of the 52.4% a standard −110 bet needs, and over/under streaks held 48.0% of the time. They describe the past.
Head to head
MIL 13–5 NYM in their last 18 meetings; the forecast called 7 of 18.
- Jul 2
MIL 3 @ NYM 7Picked MIL 51%Miss - Jul 2
MIL 7 @ NYM 2Picked NYM 52%Miss - Oct 3
NYM 4 @ MIL 2PlayoffsPicked MIL 53%Miss - Oct 2
NYM 3 @ MIL 5PlayoffsPicked MIL 54%Hit - Oct 1
NYM 8 @ MIL 4PlayoffsPicked MIL 57%Miss - Sep 29
NYM 5 @ MIL 0Picked NYM 57%Hit - Sep 28
NYM 0 @ MIL 6Picked MIL 50%Hit - Sep 27
NYM 4 @ MIL 8Picked NYM 51%Miss



