ARCHIVE April 1, 2026
April 1, 2026 · NL Cent

Los Angeles Angels vs Chicago Cubs

April 1, 2026Wrigley FieldCloudy 39°F · 21 mph, In From LF
AWAY
Los Angeles Angels
3-4
2
vs
HOME
Chicago Cubs
3-3
6

Starting pitchers

AWAY · LAA
Yusei Kikuchi
Yusei Kikuchi
IP 5.1
HOME · CHC
Matthew Boyd
Matthew Boyd
IP 5.2

Lineups

AWAY · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Jo Adell RF
  4. 4 Jorge Soler DH
  5. 5 Yoán Moncada 3B
  6. 6 Oswald Peraza 2B
  7. 7 Jeimer Candelario 1B
  8. 8 Travis d'Arnaud C
  9. 9 Bryce Teodosio LF
HOME · CHC
  1. 1 Nico Hoerner 2B
  2. 2 Alex Bregman 3B
  3. 3 Ian Happ LF
  4. 4 Carson Kelly C
  5. 5 Michael Busch 1B
  6. 6 Dansby Swanson SS
  7. 7 Matt Shaw RF
  8. 8 Pete Crow-Armstrong CF
  9. 9 Miguel Amaya DH

Box score

  123456789 R
LAA 000002000 2
CHC 005000100 6

Manager comparison

Both managers grade C / C entering this matchup.

AWAY · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R
HOME · CHC
Craig Counsell
C Lineup 1.7 R Bunts 0.4 R IBBs 0.3 R

Recent form

AWAY · LAA
3-7 L1 -10 run diff
LWWLLWLLLL
HOME · CHC
10-0 W10 +27 run diff
WWWWWWWWWW

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 · Los Angeles Angels
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.75 vs actual lineup 4.71
  • Player execution −2.71 R/G Players fell 2.71 short of the lineup's 4.71 projection (scored 2)
  • Game variance −2.75 R/G Total game outcome vs optimal expectation

Trout 0-for-3 batting 2nd

HOME · Chicago Cubs
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 4.80 vs actual lineup 4.81
  • Player execution +1.19 R/G Players exceeded the lineup's 4.81 projection by 1.19 (scored 6)
  • Game variance +1.20 R/G Total game outcome vs optimal expectation

Kelly 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 4.8 – 4.8 — actual was 2 – 6.

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.