Thursday, May 10, 2012
Poll: “Would you rather… [sac bunt]”
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In this corner: Dewan’s metric uses Hang Time data. And Dewan also uses subjective classifications of how good or bad the fielder made the play.
And in that corner: MGL’s metric has alot of the little adjustments, like pitcher’s GB/FB tendencies, that tries to isolate as many biases as possible. UZR only has access to “soft, medium, hard”, and uses that as a proxy to hang time.
Both use BIS data. And notwithstanding the above, both otherwise follow a similar methodology, relying as their core the batted ball locations as marked by the stringers. The differences are all on the periphery, which may make a big difference for a few of the players.
Money issues aside, which pitcher would you like to have for the rest of THIS SEASON ONLY?
Note: Poll was created prior to knowing Lee was going to be DLed.
THERE ARE THREE POLLS HERE.
Presume the league average ERA is 4.00.
***
THERE ARE THREE POLLS HERE.
You have three players, all of whom have 650 plate appearances, all of whom have the same number of outs.
(The league average player creates close to 0.12 runs per PA, or about 75-80 runs in this case.)
***
You have one guy that created 120 runs. (Total runs, not runs above some baseline.) You want to trade him for two guys. How many runs created do you want from each of the two guys to make this a fair trade?
You have one guy that created 100 runs. You want to trade him for two guys. How many runs created do you want from each of the two guys to make this a fair trade?
You have one guy that created 80 runs. You want to trade him for two guys. How many runs created do you want from each of the two guys to make this a fair trade?
NOTE: Presume all of these pitchers are free agents.
Here’s the play.
If you can’t see it: Cliff Lee has runners on 2B and 3B with 2 outs. He gives up a solid line drive hit to short LF, that Ibanez gets to on one hop. Runner on 3B scores easily, and Ibanez gives it his all, throws a strike to Ruiz, who gets a solid collision from the runner, but holds on to the ball for the third out.
Cliff Lee didn’t go anything good on that play. His pitch was going to be a called ball, but the batter thought he could drive the ball anyway. No LF could have turned that play into an out. Ibanez made likely his best throw ever. Ruiz was the perfect catcher in terms of blocking the plate and holding the runner.
And yet the boxscore is going to show that Lee gave up only 1 run on that play and that he got an out (1/3 of an inning) on that play.
So, the question is what does Cliff Lee DESERVE in terms of credit.
Suppose all players are signed for one year. And, all players are paid only at the end of the season. A pure pay-for-performance setup. The league handles all payments.
There are seven teams (Team A through Team G) that have as players the following 5 players (who have played 160, 140, 120, 100, 80 games).
Games A.... B.... C.... D.... E.... F.... G....
160 120 120 120 120 120 120 120
140 105 107 109 110 113 116 120
120 090 094 098 100 106 112 120
100 075 081 086 090 099 108 120
080 060 068 075 080 092 104 120
The numbers represent the runs created by each player. So, Team A has the 100 game player creating 75 runs, but Team G has their 100 game player creating 120 runs.
The average player generates 0.5 runs per game.
The salary of the above 160 game (120 Runs Created) players has already been set at 20MM$.
For which Team would you have the league pay exactly 20MM$ for each of the five players? That is, for which Team do you find that the five players listed are equivalent to each other, in terms of their past performance?
(Note: presume the league average starting pitcher is a .500 pitcher, with a 4.00 ERA.)
(Note: presume the league average player would create 81 runs in 162 games.)
Note: You take the number of runs he’ll allow per game, and divide that by the league average. So, if he allows runs at half the league average, that means an index of 0.50. If he allows runs at 20% higher than league average, that’s 1.20. If he allows runs at the league average, that’s 1.00.
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