ARCHIVE March 26, 2026
March 26, 2026 · NL East

Pittsburgh Pirates vs New York Mets

March 26, 2026Citi FieldSunny 67°F · 4 mph, Out To CF
AWAY
Pittsburgh Pirates
0-1
7
vs
HOME
New York Mets
1-0
11

Starting pitchers

AWAY · PIT
Yohan Ramírez
Yohan Ramírez
IP 2.1
HOME · NYM
Freddy Peralta
Freddy Peralta
IP 5

Lineups

AWAY · PIT
  1. 1 Oneil Cruz CF
  2. 2 Brandon Lowe 2B
  3. 3 Bryan Reynolds LF
  4. 4 Marcell Ozuna DH
  5. 5 Ryan O'Hearn RF
  6. 6 Jared Triolo SS
  7. 7 Spencer Horwitz 1B
  8. 8 Nick Gonzales 3B
  9. 9 Henry Davis C
HOME · NYM
  1. 1 Francisco Lindor SS
  2. 2 Juan Soto LF
  3. 3 Bo Bichette 3B
  4. 4 Jorge Polanco 1B
  5. 5 Luis Robert CF
  6. 6 Brett Baty DH
  7. 7 Marcus Semien 2B
  8. 8 Carson Benge RF
  9. 9 Francisco Alvarez C

Box score

  123456789 R
PIT 201011002 7
NYM 500132000 11

Manager comparison

Both managers grade C- / D+ entering this matchup.

AWAY · PIT
Don Kelly
C- Lineup 2.3 R Bunts 0.3 R IBBs 0.8 R
HOME · NYM
Carlos Mendoza
D+ Lineup 2.9 R Bunts 1.4 R IBBs 0.9 R

Recent form

AWAY · PIT
5-5 W2 +1 run diff
WWLWWWLLLL
HOME · NYM
5-4 L1 +2 run diff
LW?WWLWLLW

Tactical analysis

RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.

AWAY · Pittsburgh Pirates
  • Manager lineup cost +0.14 R/G Optimal arrangement projects 3.87 vs actual lineup 3.73
  • Player execution +3.27 R/G Players exceeded the lineup's 3.73 projection by 3.27 (scored 7)
  • Game variance +3.13 R/G Total game outcome vs optimal expectation

Ozuna 0-for-4 batting 4th

HOME · New York Mets
  • Manager lineup cost −0.04 R/G Optimal arrangement projects 2.53 vs actual lineup 2.57
  • Player execution +8.43 R/G Players exceeded the lineup's 2.57 projection by 8.43 (scored 11)
  • Game variance +8.47 R/G Total game outcome vs optimal expectation

Benge HR from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 3.9 – 2.5 — actual was 7 – 11.

Keep reading

How RunsLeft analyzes games

Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.

Read the full methodology.