Over the past few years, MLB has witnessed the birth of metrics, statistics, and assets to measure and evaluate performance, the odds of winning, and other important issues related to the game.
One of those resources is the chance to win.
It indicates how likely a team is to win a certain game after a certain game: for example a three-run home run, an out or a walk.
Well, the New York Mets and the San Francisco Giants had a wild game Tuesday night.
Winning probability chart, as you can imagine, has changed a lot along the way.
Mine
Good luckBaseball !! pic.twitter.com/RzqAqlvcaR
– Sarah Langs (langSlangsOnSports) May 25, 2022
As Sarah Langs of MLB.com points out, the game was a wild ride, and the odds of winning look like a roller coaster!
The Giants came out on top at 13-12, but found themselves down several times, especially in the final innings.
A wild, roller coaster-like ride
For the first seven innings, the chart was in favor of the Giants, but in the last two innings the Mets made a drastic comeback.
The Giants were 6-2 up after the sixth inning.
It seemed like a comfortable game for them.
New York then scored two in the seventh, seven in the eighth and one in the ninth.
The Giants, especially Jok Pederson (who scored three home runs and eight RBIs at night, with some clutch game-tying explosions) had winning plans.
After the Mets took an 11-8 lead at the bottom of the eighth, Pederson hit a three-run home run to tie the game at 11.
The Mets led 12-11 in the top nine, but Pederson and Brandon Crawford’s RBI single ended the crazy night for the Giants.
It was probably the most exciting game of the season.