In the past few years, MLB has witnessed the birth of metrics, stats, and resources to measure and evaluate performance, winning odds, and other important things related to the game itself.
One of those resources is win probability.
It indicates how likely a team is to win a specific game after a certain play: a three-run home run, an out, or a walk, for example.
Well, the New York Mets and the San Francisco Giants had a wild game on Tuesday night.
The win probability chart, as you can imagine, had numerous changes along the way.
— Sarah Langs (@SlangsOnSports) May 25, 2022
As Sarah Langs of MLB.com indicates, the game was a wild ride, and the win probability chart looks like a roller-coaster!
The Giants came out on top, 13-12, but found themselves down several times, especially in the late innings.
A Wild, Roller Coaster-Like Ride
For the first seven innings, the chart favored the Giants, but the Mets had a furious comeback in the last two innings.
After the sixth inning, the Giants were leading 8-2.
It looked like a comfortable game for them.
New York then scored two runs in the seventh, seven in the eighth, and one in the ninth.
The Giants, particularly Joc Pederson (who hit three home runs and had eight RBI on the night, including some clutch game-tying blasts) had winning plans.
After the Mets had taken an 11-8 lead to the bottom of the eighth, Pederson hit a three-run home run to tie the game at 11.
The Mets went up 12-11 in the top of the ninth, but RBI singles by Pederson and Brandon Crawford ended the crazy night in favor of the Giants.
It was perhaps the most exciting game of the season.