New York Mets at Los Angeles Dodgers, 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 LAD.
Game center
From the ESPN box score.
Top performers
- Francisco LindorBatting2-4, 1 HR, 1 RBI
- Nolan McLeanPitching7.0 IP, 1 ER, 8 K
- Kyle TuckerBatting1-3, 1 RBI
- Yoshinobu YamamotoPitching7.2 IP, 1 ER, 7 K
Scoring summary
- 8
Tucker singled to left, Rojas scored, Ohtani to second.1–2 - 1
Freeman grounded out to first, Tucker scored.1–1 - 1
Lindor homered to right (402 feet).1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Dodgers 64%
Forecast Elo ratings alone
How often that comes true: MLB favorites the forecast gave 60–65% have won 61.6% of 1,194 graded games.
- Market
- LAD 64%
- ML NYM +163 / LAD -199
- Pre-line forecast
- LAD 64%
- Elo + market-implied
- Elo ratings
- LAD 64%
- Ratings vs. market
- 0.0 pts
- LAD: Elo 63.7%, market 63.6%
- Fair odds
- LAD -175
- NYM +175 · the forecast as odds, no margin
- Pregame projection
- NYM 3.1 – 4.4 LAD
- Margin from the forecast, posted total 7.5
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 | NYM | LAD | Why |
|---|---|---|---|
| Team rating | 1502 | 1565 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +2 | +19 | NYM: Nolan McLean: team allows 0.10 fewer runs than with its usual starter (≈7 weighted starts) · LAD: Yoshinobu Yamamoto: team allows 0.93 fewer runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | LAD +98 Elo | LAD 63.7% | |
| Market-implied ratings | LAD 64.5% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | LAD 64.4% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | LAD 63.6% | 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.
| NYM | Stat | |
|---|---|---|
| 26th of 303.6 | Runs scored | 5.91st of 30 |
| 10th of 304.1 | Runs allowed | 3.54th of 30 |
| 18th of 30−0.4 | Margin | +2.41st of 30 |
| 18th of 304–6 | Last 10 | 8–22nd of 30 |
| 9th of 304–4 | Road vs home | 7–35th of 30 |
| 19th of 301495 | Opponent Elo | 150215th of 30 |
| 15th of 301502 | Elo rating | 15651st 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 | 6–11 | 9–7 |
| Last 10 | 3–7 | 7–3 |
| Favorite | 4–9 | 9–7 |
| Underdog | 2–2 | — |
| Overs–unders | 7–8–2 | 7–8–1 |
| Overs–unders, last 10 | 5–3–2 | 6–4 |
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
NYM 11–15 LAD in their last 26 meetings; the forecast called 14 of 26.



