ARCHIVE April 19, 2026
April 19, 2026 · NL Cent

Tampa Bay Rays vs Pittsburgh Pirates

April 19, 2026PNC ParkPartly Cloudy 50°F · 15 mph, Out To CF
AWAY
Tampa Bay Rays
12-9
3
vs
HOME
Pittsburgh Pirates
13-9
6

Starting pitchers

AWAY · TB
Shane McClanahan
Shane McClanahan
IP 4.1
HOME · PIT
Mitch Keller
Mitch Keller
IP 7

Lineups

AWAY · TB
  1. 1 Chandler Simpson LF
  2. 2 Junior Caminero 3B
  3. 3 Jonathan Aranda 1B
  4. 4 Yandy Díaz DH
  5. 5 Cedric Mullins CF
  6. 6 Richie Palacios 2B
  7. 7 Jonny DeLuca RF
  8. 8 Hunter Feduccia C
  9. 9 Taylor Walls SS
HOME · PIT
  1. 1 Jake Mangum LF
  2. 2 Nick Gonzales 2B
  3. 3 Bryan Reynolds RF
  4. 4 Marcell Ozuna DH
  5. 5 Oneil Cruz CF
  6. 6 Nick Yorke 3B
  7. 7 Konnor Griffin SS
  8. 8 Joey Bart C
  9. 9 Billy Cook 1B

Box score

  123456789 R
TB 000020001 3
PIT 100031010 6

Manager comparison

Both managers grade B- / C- entering this matchup.

AWAY · TB
Kevin Cash
B- Lineup 0.9 R Bunts 2.4 R IBBs 2.1 R
HOME · PIT
Don Kelly
C- Lineup 2.3 R Bunts 0.3 R IBBs 0.8 R

Recent form

AWAY · TB
8-2 L1 +17 run diff
LWWWWWWWLW
HOME · PIT
5-5 W2 +1 run diff
WWLWWWLLLL

Season series: 1-2 with TB 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 · Tampa Bay Rays
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 3.12 vs actual lineup 3.09
  • Player execution −0.09 R/G Players fell 0.09 short of the lineup's 3.09 projection (scored 3)
  • Game variance −0.12 R/G Total game outcome vs optimal expectation

Aranda 0-for-4 batting 3rd

HOME · Pittsburgh Pirates
  • Manager lineup cost −0.06 R/G Optimal arrangement projects 3.82 vs actual lineup 3.87
  • Player execution +2.13 R/G Players exceeded the lineup's 3.87 projection by 2.13 (scored 6)
  • Game variance +2.18 R/G Total game outcome vs optimal expectation

Horwitz HR from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.8 — actual was 3 – 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.