"Clutch measures how well a player performed in high leverage situations. It’s calculated as such:
The WPA stands for "Win Probability Added" and it tells us how much each plate appearance by a batter increased or decreased his team's chance of winning. LI is leverage index. Games that are late and close with runners on have a higher leverage than normal.
pLI: A player’s average LI for all game events.
Play by play data does not exist for all years. That is necessary for this stat.
I looked at all seasons with 300+ PAs and a clutch of 2.5 or higher using the Baseball Reference Play Index. The 3.5 for Simmons means he added 3.5 more wins by hitting better in the clutch than if he had just had his usual numbers.
Player | Clutch | Year |
Al Simmons | 3.5 | 1930 |
David Ortiz | 3.3 | 2005 |
Eddie Murray | 3.3 | 1985 |
Troy O'Leary | 3.2 | 1996 |
Mickey Stanley | 3.2 | 1968 |
Nellie Fox | 3.2 | 1959 |
Arky Vaughan | 3.2 | 1943 |
Tony Gwynn | 3.1 | 1984 |
Dave May | 2.9 | 1973 |
Rickey Henderson | 2.8 | 1988 |
Tony Gwynn | 2.8 | 1988 |
Kirby Puckett | 2.8 | 1985 |
Simmons batted .381 that year with 36 HRs and a 157 RBIs. His OBP was .423 and his SLG was .708. Click here to see his 1930 splits Here is a sample
Split | BA | OBP | SLG | OPS |
RISP | 0.437 | 0.449 | 0.826 | 1.275 |
None on | 0.379 | 0.417 | 0.692 | 1.109 |
Men On | 0.383 | 0.411 | 0.730 | 1.141 |
2 outs, RISP | 0.402 | 0.437 | 0.732 | 1.168 |
Late & Close | 0.429 | 0.461 | 0.857 | 1.318 |
High Lvrge | 0.469 | 0.488 | 0.867 | 1.355 |
Medium Lvrge | 0.370 | 0.416 | 0.648 | 1.064 |
Low Lvrge | 0.345 | 0.367 | 0.706 | 1.073 |
It stands to reason this was a special season when you consider that when you check his situational batting stats on bbref for that season we find that he drove in 28 percent of the runners on base.(134 of 471) That's the highest percentage I've seen anyone have from any of the stats they have on it so far.
ReplyDeleteThanks for reading and commenting. I didn't know he drove in 28 percent of the runners on base or that was a stat you could get at bbref
ReplyDeleteI really enjoy your blog. Can you maybe do some articles about metrics in DFS? I mean how huge, successful websites like DraftKings or FanDuel compare to smaller websites, with more dedicated fans like, let's say this one? How player's behaviour is, in a sense if they play more agressively on different sites, what money, etc. Do you think there might be a chance of you doing something like that?
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