Game 831567
Roger Dean Chevrolet Stadium
Mar 13, 10:05 PM UTC
A chart-first postgame recap of which club handled the challenge game better, where the biggest swings landed, and what the umpire looked like by final out.
Debrief generated Mar 22, 9:50 PM
Team vs Team Outcome Recap
Total Reviews
Raw challenge volume from the completed game.
Overturn Rate
Which club actually won more of its review bets.
Late / Close Share
How much of each team’s review activity came in the game’s tightest windows.
Tonight's Review Pattern
4 reviewed pitches so far • 4 overturned
Highest Risk Split
RHP vs LHB
RHP vs LHB
100%
2 reviews
ELI 53.5
RHP vs RHB
100%
1 review
ELI 50.0
Most Targeted Pitch
Four-Seam Fastball
2 reviews • 100% overturned
Most Active Lane
Bot-L
2 reviews • 100% overturned
Scenario Timeline
Bot3 • Houston Astros
Medium Pressure • ELI 50
Count Shift
2-0 → 1-1
Base / Score
1st and 2nd • Tie 1-1
Count Edge
+0.9 pts
Decision Read
Challenge • +1.68% EV
The overturned call changed the count before the plate appearance finished.
Top4 • Houston Astros
Medium Pressure • ELI 50
Count Shift
Strikeout → Walk
Base / Score
Bases Loaded • Tie 1-1
Count Edge
No baseline delta
Decision Read
Challenge • +0.44% EV
Review happened at the at-bat level without a tracked pitch event.
Top6 • St. Louis Cardinals
Medium Pressure • ELI 57
Count Shift
1-1 → 0-2
Base / Score
Bases Empty • 4-3
Count Edge
-1.0 pts
Decision Read
Hold • -2.78% EV
The overturned call changed the count before the plate appearance finished.
Bot6 • Houston Astros
Medium Pressure • ELI 48
Count Shift
2-2 → Strikeout
Base / Score
Bases Empty • 4-3
Count Edge
No baseline delta
Decision Read
Challenge • +0.54% EV
Review happened at the at-bat level without a tracked pitch event.
Narrative readout of how the review battle unfolded after the charts have established which club actually captured the value.
The St. Louis Cardinals edged the Houston Astros 5-4 in a tightly contested matchup at Roger Dean Chevrolet Stadium, with a full sweep of all four managerial challenges underscoring the role of the Automated Ball-Strike (AiBS) system in shaping the game. Each challenge issued by either team was overturned, demonstrating both the precision of the AiBS system and the willingness of managers to engage it in critical moments.
Three of the four overturned calls directly influenced pivotal plate appearances, particularly in the later innings. The Cardinals’ successful challenge in the bottom of the sixth altered a strike call on Pedro Pagés from 1-1 to 0-2, placing him behind in the count and shifting the dynamic in an inning when the Astros held a narrow lead. Likewise, the Astros overturned a called strike against César Salazar in the same inning, moving the count from 2-2 to 1-3, which also changed the at-bat’s course. Earlier, in the bottom of the fourth, the Astros challenged a ball call on Cam Smith, turning a 3-3 count into 4-2 and granting him a walk, a moment that contributed to the inning’s momentum.
Pitch Timeline
Mapping Decisions
Challenge Brief
Focus this rail on the call, the game-state consequence, and the decision read. Deeper model and historical context stay tucked into org view only.
Focus
Victor Scott II vs Kai-Wei Teng
Count Transition
2-0 → 1-1
Result
Call Overturned
Count Changed
Game State
1st and 2nd
Bot 3 • Tie 1-1 • 1 out
Home offense batting
Estimated Leverage
50
Pitch
Four-Seam Fastball
Velocity
93.8 MPH
Location
-0.74 x, 1.86 z
Count Before
2-0
Baseball Consequence
Count changed from 2-0 to 1-1.
Comparable game states move run expectancy by -0.205 from this review state.
Decision Read
Model favored a challenge
53% overturn probability and +1.68% expected value at challenge time.
All four challenges involved called balls or strikes, with a split between balls and strikes overturned. Despite two of the pitch coordinates being inferred rather than directly tracked, the consistency in overturned calls suggests the AiBS system was reliably identifying borderline calls that umpires had initially missed. The plate umpire’s line of 4-for-4 overturned challenges points to a high degree of human-technology interplay impacting the strike zone’s interpretation.
While the challenges did not veer into high leverage late-and-close moments, their impact on counts and at-bats highlights how AiBS can subtly influence the game’s rhythm throughout multiple innings. This contest adds to growing evidence that AiBS, when actively employed by managers, can closely mediate the strike zone and potentially affect scoring opportunities in tight contests.