ARCHIVE May 2, 2026
May 2, 2026 · NL Cent

Arizona Diamondbacks vs Chicago Cubs

May 2, 2026Wrigley FieldPartly Cloudy 50°F · 5 mph, In From CF
AWAY
Arizona Diamondbacks
16-16
0
vs
HOME
Chicago Cubs
21-12
2

Starting pitchers

AWAY · AZ
Ryne Nelson
Ryne Nelson
IP 5.2
HOME · CHC
Shota Imanaga
Shota Imanaga
IP 7

Lineups

AWAY · AZ
  1. 1 Ketel Marte 2B
  2. 2 Geraldo Perdomo SS
  3. 3 Corbin Carroll RF
  4. 4 Ildemaro Vargas 1B
  5. 5 Lourdes Gurriel Jr. LF
  6. 6 Nolan Arenado DH
  7. 7 Jose Fernandez 3B
  8. 8 James McCann C
  9. 9 Jorge Barrosa CF
HOME · CHC
  1. 1 Michael Busch 1B
  2. 2 Moisés Ballesteros DH
  3. 3 Alex Bregman 3B
  4. 4 Ian Happ LF
  5. 5 Seiya Suzuki RF
  6. 6 Pete Crow-Armstrong CF
  7. 7 Dansby Swanson SS
  8. 8 Matt Shaw 2B
  9. 9 Miguel Amaya C

Box score

  123456789 R
AZ 000000000 0
CHC 010000010 2

Manager comparison

Both managers grade C- / C entering this matchup.

AWAY · AZ
Torey Lovullo
C- Lineup 2.0 R Bunts 2.1 R IBBs 0.6 R
HOME · CHC
Craig Counsell
C Lineup 1.7 R Bunts 0.4 R IBBs 0.3 R

Recent form

AWAY · AZ
3-7 L2 -15 run diff
LLWLLLLWLW
HOME · CHC
10-0 W10 +27 run diff
WWWWWWWWWW

Season series: 0-3 with AZ listed first across 3 prior meetings.

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 · Arizona Diamondbacks
  • Manager lineup cost +0.09 R/G Optimal arrangement projects 2.83 vs actual lineup 2.74
  • Player execution −2.74 R/G Players fell 2.74 short of the lineup's 2.74 projection (scored 0)
  • Game variance −2.83 R/G Total game outcome vs optimal expectation

Marte 0-for-4 batting 1st

HOME · Chicago Cubs
  • Manager lineup cost −0.06 R/G Optimal arrangement projects 4.82 vs actual lineup 4.89
  • Player execution −2.89 R/G Players fell 2.89 short of the lineup's 4.89 projection (scored 2)
  • Game variance −2.82 R/G Total game outcome vs optimal expectation

Ballesteros 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 2.8 – 4.8 — actual was 0 – 2.

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.