World Series MVP

(Quick note, I typed out this post in entirety before Blogger deleted the whole thing even though it is supposed to save, so this version is unfortunately a little shorter!)

Last Monday night, the San Fransisco Giants won their first World Series since 1954, when Willie Mays and the New York Giants won. Ironically, there has never been a World Series won by the Giants with a MVP, as the MVP award did not begin until 1955, the year after the Giants last one. Unlike previous Giants' teams, with superstars such as Mays, Willie McCovey, and Barry Bonds, this team was led by great pitching and a team that managed to get just enough timely hits to squeak into the postseason on the last day. In this post, I want to determine who should have been the MVP of this team, and whether or not the voters picked the right player (Edgar Renteria ended up winning the award).

We need to ask two questions before we decide who the MVP should have been. First, what exactly is the MVP? Obviously, it is the "most valuable player", but what exactly does that mean? Does it mean the best overall player? Obviously not, as only one player in World Series history has won the WS MVP while playing for the losing team (Bobby Richardson in 1960, when the Yankees outscored the Pirates 55-27 but still managed to lose in seven games). I believe that the MVP is the player that best gives his team the chance to win each game, and as a result the series. The question now becomes: how do you measure exactly how "valuable" a player is to his team? I am going to use the Win Probability Added statistic, which is the sum of the changes in the probability of a player's team winning. More simply, WPA "looks at" each play and determines the teams probability of winning before, and then after the play occurs, and the difference is debited and credited to the players involved. For example, if a team was winning in the ninth inning, there probability of winning would be fairly high, say 80%, but if a player on the opposing team then hit a home run to tie the game, and the probability of the first team winning fell to say 55%, then the player who hit the home run would have a +0.25 WPA for that play, and the pitcher who gave up the home run would have a WPA of -0.25 for the play. Each team starts at a 50% chance of winning, and one team ends with a 100% chance of winning, so WPA measures exactly how much each player individually contributed to winning the game. It is heavily dependent on the leverage of the situation, as obviously a go-ahead home run in the ninth inning gives the team a better chance to win than a go-ahead home run in the first inning.

To determine which player should be the MVP, I summed the WPA for each player during each game in the World Series to determine the overall World Series WPA. I have created two tables below, for the position players and the pitchers, which rank the players in terms of overall WPA for the World Series, and also which games they appeared in.

Players:

Player	World Series WPA	Games Played In
Edgar Renteria	0.403	1, 2, 3, 4, 5
Aubrey Huff	0.147	1, 2, 3, 4, 5
Andres Torres	0.139	1, 2, 3, 4, 5
Cody Ross	0.108	1, 2, 3, 4, 5
Freddy Sanchez	0.094	1, 2, 3, 4, 5
Mike Fontenot	0.000	2
Juan Uribe	-0.046	1, 2, 3, 4, 5
Travis Ishikawa	-0.057	1, 4
Aaron Rowand	-0.058	2, 5
Pablo Sandoval	-0.081	3
Nate Schierholtz	-0.091	1, 2, 4
Buster Posey	-0.154	1, 2, 3, 4, 5
Pat Burrell	-0.423	1, 2, 3, 5

Pitchers:

Pitcher	World Series WPA	Games Pitched In
Matt Cain	0.495	2
Tim Lincecum	0.477	1, 5
Madison Bumgarner	0.477	1
Brian Wilson	0.131	1, 4, 5
Santiago Casilla	0.059	1
Javier Lopez	0.047	1, 2
Sergio Romo	0.021	1
Jeremy Affeldt	0.021	1, 3
Guillermo Mota	0.020	2, 3
Ramon Ramirez	0.009	1, 3
Jonathan Sanchez	-0.162	3

As you can see above, three of the four most valuable players on the Giants in the World Series happened to be pitchers. Edgar Renteria was the only significant hitter with a .403 WPA, Matt Cain had a .495 WPA, and Tim Lincecum and Madison Bumgarner both had a .477 WPA. The question now becomes, do you give the MVP vote to a pitcher such as Matt Cain, who pitched brilliantly and had the highest overall WPA, but only appeared in one game, or do you give it to Edgar Renteria, who had a lower WPA but played in every game? The voters decided to give it to Renteria, and I tend to agree with them (another issue would have been which pitcher to give it to? All three pitchers were very close in WPA, and I tend to think they would have given it to Lincecum as he pitched in two games and had the performance most fresh in the voters' minds). In this case, the voters' "gut instincts" actually agreed with the statistics.

One final note of interest is the Giants overall 1.5 WPA (they won 4 games, each with a WPA of +0.5, and lost one game with a WPA of -0.5). Of that 1.5, approximately 1.6 WPA came from the pitchers, while the hitters actually had a negative impact on the probability of the Giants winning the World Series with a WPA of -0.1. So even though the Giants became the first team to score at least 20 runs in the first two World Series games, the pitching, just like all year, was the reason that they won the World Series. Ironic then that a hitter still managed to win the MVP.

Fact of the Week XI: Most and Least Valuable Blue Jays Postseason Games

As the playoffs move past the championship series' and on to the World Series, I wanted to take a quick look at valuable, and not valuable, postseason games by a Blue Jays player and pitcher. Considering the Jays have only played 41 playoffs games ever, and haven't made the playoffs since they won the World Series back-to-back in 1992 and 1993, all of these games will be from the mid-80s and early 90s.

The most valuable game ever by a Blue Jays hitter was by Devon White, in game 4 of the 1993 World Series. His Win Probability Added (WPA) for that game was 0.719, which is extraordinarily high. It is actually the 11th most valuable game ever in the postseason by a player. In the 15-14 Blue Jays win, White went 3-for-5 with 2 runs and 4 RBIs. The big hit came in the top of the 8th inning, with 2 runners on and 2 out, with the Jays losing 14-13. White hit a two run triple to put the Jays on top 15-14, and the play increased the Jays' win expectancy from 24% to 74%.

The least valuable game ever by a Blue Jays hitter was John Olerud, in game 2 of the 1992 World Series. His WPA for the game was -0.273, as he went 0-for-4 with a strikeout. The biggest blow came in the top of the eighth with 1 out and runners on first and third and the Jays trailing 4-3. Olerud popped out to the third baseball, which resulted in a decrease in win expectancy of 16%. Coincidentally, the Jays still ended up winning the game 5-4, in large part because of Ed Sprague, who hit a pinch-hit, two-run home run in the top of the 9th to give the Jays the 5-4 lead. His one at-bat in the game increased the Jays' win expectancy by 67%, which was actually the second-most valuable postseason game by a Jays' hitter behind Devon White.

For pitchers, the most valuable postseason game ever pitched was by David Cone in game 2 of the ALCS in 1992. Cone pitched 8 innings, giving up 5 hits and only one run, and the Jays won 3-1, resulting in a game score of 71 and a win probability added of 0.413.

The least valuable postseason pitching performance was by Todd Stottlemyre in game 4 of the 1993 World Series. This was the 15-14 Jays win in which Devon White had the most valuable position player game. Stottlemyre started the game for the Jays and went 2 innings, giving up 6 runs, and had a WPA of -0.486. Interestingly enough, the fourth worst pitching performance was by Al Leiter, who came in to relieve Stottlemyre, pitching 2.2 innings and giving up another 6 runs. Amazingly, the Jays still won, and in both cases of the least value performances they had comeback victories which overshadowed the bad performances by players.

Hopefully in the next couple of years the Blue Jays will be able to add some players to any of the lists above, which will mean that they made the playoffs again after a long drought.

Best, Worst Jays Performances so far in 2010

I thought it would be interesting to do a quick study on the best and worst batting and pitching performances so far this year. A quick way to measure the value of a performance is WPA, which is Win Probability Added*. It sums the value of each play made by a certain player in a game. For a quick example, say that Vernon Wells comes up in an inning with the Jays chance of winning at 45% (e.g. down by one in the middle innings). If Wells hits a home run, and the chance of winning increases to 50%, then the value of the home run is 5%. If you add up (or subtract) the total changes in chances of winning the games, you will get WPA. It is a little confusing at first, but it is an extremely useful (if not the most useful) statistic for measuring a player's contribution to winning individual games or his value over a season or career.

*Quick note: I am using the WPA from Baseball-Reference, which may differ from that of Bill James or FanGraphs as each site has a slightly different WPA formula, but all numbers end up very close

The first thing we are going to look at is the best performances for Jays hitters. This shows the the most valuable game so far this year by a Jays hitter was Adam Lind against the Cleveland Indians on May 5. The Jays won the game 5-4, as Lind hit a 2-run home run with 2 outs in the 9th inning and the Jays down by 1 run. For the game, he went 2 for 4 with a walk, a run, and 2 RBIs. FanGraphs shows that the home run had a WPA value of .724, as the probability of the Jays winning the game went from 8% to 80.5%. That game by Adam Lind, and especially the home run, is the most valuable hitting performance by any Jays player so far this year.

The next thing to look at is the best performance by a Jays pitcher. Any guesses on what the result might be? Yep, it was Brandon Morrow's gem on Sunday against the Rays that had the highest WPA, which corresponds to what I described here this week. One of the biggest reasons why it was so high was because of aLI, or the Average Leverage Index. aLI measures the average pressure that a player will face in each situation, with 1 being average pressure, under 1 being low pressure, and above 1 being high pressure. (An interesting sidenote is that the top 12 best pitching performances are from starters, while we will see that 6 of the 7 worst pitching performances are from relievers. This has a lot to do with aLI, as the best performances are usually when pitchers pitch 8 or 9 shutout innings in a close ball game, while the worst performances are usually when relievers enter a close game and get lit up.) Morrow had an aLI of 1.454, which was also higher than any of the other performances on the list. A big reason why it was so high was because the Jays were only winning 1-0 throughout the entire game, so Morrow could not take any innings off because of a big lead, but had to pitch hard the entire game.

Now, the flip side. We have looked at the best performances of this year so far, now we need to look at the worst. First up, the worst hitting performances so far. Alex Gonzalez's June 23 game against St. Louis comes in as the worst performance so far with a WPA of -0.376. Gonzalez went 0 for 3 with a walk, and 2 double plays grounded into. Both double plays came after leadoff singles by Vernon Wells (in the 4th and 9th innings), and since the Jays ended up with a 1-0 loss, any run would have helped a lot. The 9th inning double play was the play with the largest change in WPA for the Jays, as the Jays went from having a 34.2% chance of winning to only a 4.9% chance of winning (WPA of -0.294). That play, along with his hitless night, gives him the top spot in the worst hitting performance of this year.

Finally, we are going to look at the worst pitching performance of this year. I don't know about you, but when I think about bad pitching so far this year, one name pops into my head: Kevin Gregg. Gregg has gotten a lot of saves (25 so far), but has also blown a couple (4 so far, resulting in an 86% save percentage). But to me, it always seems as if he pitches well under the least pressure, that is, if he comes into the 9th with a 3-run lead against the Orioles, he will always get the save, but if he comes into the 9th with a 1-run lead on the Yankees, he will blow it. And when we take a look at the leaderboard, Gregg's name is all over it. He actually holds the top 3 spots for worst pitching performances, but the one that takes the cake is his performance against Seattle on May 20. He came in with a 3-1 lead, and then: single, single, walk, walk, sac fly, single, game over. Gregg's line: 0.1 IP, 3 H, 2 BB, 3 ER, BS, and L. He threw 25 pitches, only 12 for strikes, and his WPA was an astoundingly bad -0.905, as the Jays had over a 90% chance of winning when he entered, and ended up losing.

There are your best and worst performances so far in 2010. An interesting note is that all performances came in 1-run games, with the games winning 5-4 and 1-0, and losing 1-0 and 4-3 in the respective order of the performances. This again has to do with aLI. The higher the aLI, the higher the probability that a single play (or a couple plays in a row) can swing the entire outcome of the game. And although we measured everything in terms of WPA, I believe that the results we have come up with should pass the "gut-check"; that is, if you were to eyeball some of the best and worst performances so far this year, many of these performances would be at the very top (or very bottom).

We will check back on this post at the end of the year, to find out if the results will still be the best and worst performances after 162 games. Also, tomorrow I will be working on a post similar to this one, for the best and worst performances by opposing players when they are facing the Jays. I would not be surprised if many of the same games we looked at today will be involved tomorrow.