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THE BOOK--Playing The Percentages In Baseball

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Saturday, September 16, 2006

Willie Randolph and Billy Wagner

By Tangotiger, 06:42 AM

Willie Randolph said this:

I’ve used him so many times to nail down an important win for us in non-save situations. He’s given our bullpen a sense of completeness that we didn’t have last year.

He’s talking about Wagner.  Thanks to Fangraphs, we can look at this assertion.  Breaking up his games into whether he got a save or blown save, and into games where he got neither:


SV+BS: 43 games, 177 batters faced.  In games where he recorded an overall positive WPA (which are all of his saves, natch), he had +4.49 wins added.  In games where he had a negative contribution (his blown saves not coincidentally), he was -2.29 wins.  So, when he comes into a save situation, he’ll add twice as much win probability as he will remove.  Overall, he’s +2.20 wins in these situations.

Others: 22 games, 97 batters faced.  +1.76 wins in the positive games, and -0.58 wins in the negative games for a total of +1.18 wins.

Think about that.  He’s +2.20 wins in the save-type games, over 43 games, for an average of +.051 wins per game.  And in the non-save games, he’s +1.18 wins over 22 games, for +.054 wins.

If we count the number of games where he’s had a big impact (+/- .10 wins), I count 33 positive impacts, of which he’s only gotten 24 saves.  He’s had 7 negative impact games, with 5 blown saves.

If we also look at the mild-impact games (+/- .04 to .10 wins), he’s had 14 mild-positives, and no mild-negatives.

It certainly looks like Randolph has used Wagner in non-save situatiions, and did so with Wagner having great impact.

***

How about Rivera?

He’s had 36 save-type games, facing 150 batters.  His WPA was +2.74, with +4.24 in save games and -1.50 in blown saves. Overall, he’s +.076 WPA per game. Great stuff!

How about non-save games?  23 of those, facing 126 batters.  Rivera certainly is not used in many save situations!  And how’d he do here?  +0.53 wins, with 10 high-impact games. However, 6 of those were high-positive, and 4 were high-negative.  He was +1.68 in the positive games, and -1.15 in the negative games.  Certainly Rivera didn’t fare so well in these non-save games.  But those 4 high-negative games were just as bad, or worse, than his blown saves.  He’s +.023 wins per game.

One more with Papelbon, this year’s version of “who will knock off Rivera?”. 

41 save-type games, facing 173 batters.  WPA of +3.62, with +4.72 in save games and -1.10 in blown saves.  Overall, +.088 per game.

In non-save games, 18 games, 84 batters, for +1.6, giving him +.089 wins per game!  Wow.  Included in here are 5 games where he pitched at least 2 innings, and gained +.30 to +.40 wins in each game: 21-Apr, 13-Jun, 24-Jun, 29-Jul. 12-Aug.

If we count his high-impact games, he’s had 28 high-positive and 21 saves to show for them, and 4 high-negative (with 3 blown saves).

For Rivera, he’s had 24 high-positives, with 18 saves on them, and seven high-negative (with 3 blown saves).  This is not the Rivera of old, but it is the old Rivera.

***

(Note: Fangraphs does not record Holds, and therefore, there may be games where Wagner came into a save situation, and still left it in a save situation for someone else.  Since we are talking about Wagner, it’s likely he has no holds.)

#1          (see all posts) 2006/09/18 (Mon) @ 14:50

Of the top 50 relievers in terms of WPA, only 3 of them have +WPA > ABS(-WPA).  And 2 of them (Cla Meredith and Mark Lowe) aren’t even closers.  The only one who is a closer is Joe Nathan.  When you think about it, that is a rather remarkable achievement for a closer.  Since they always come into situations where their team already has a high probability of winning, their downside risk is much greater than their upside potential.


#2    studes      (see all posts) 2006/09/18 (Mon) @ 16:22

Interesting, but I don’t see where you’re pulling your stats.  Billy Wagner, for instance, has 10.5 win advancements and only 7.1 loss advancements.  Papelbon is 14.7 vs.8.6.

Are you looking at something different?


#3    James M.      (see all posts) 2006/09/18 (Mon) @ 16:46

Correction: I should have said +WPA > 2*ABS(-WPA).  Or simply WPA > ABS(-WPA).

If you divide +WPA by ABS(-WPA) you get what I call the WPA Index.  Meredith is tops at 2.56.  Nathan is at 2.41.  Papelbon is next best among true closers with 1.89, followed by Putz at 1.77.  Some big names don’t look too good on this basis: Rivera 1.43, Jenks 1.30, Street 1.22.


#4    tangotiger      (see all posts) 2006/09/18 (Mon) @ 17:09

You are simply doing the ratio of win advancement (WA) to loss advancement (LA).

You can also convert this into a rate by doing WA/GA, with GA = WA + LA.

So, if your ratio is 2:1, then your rate is .667.


#5    tangotiger      (see all posts) 2006/09/18 (Mon) @ 19:16

As well, when the Mills Brothers did their PWA (player win average), they did it as I’m specifying it, as a rate.


#6    James M.      (see all posts) 2006/09/19 (Tue) @ 10:36

I tried TWICE to post a response and it didn’t appear. This isn’t the first time either.


#7    James M.      (see all posts) 2006/09/19 (Tue) @ 10:40

What I tried to say was, there are at least 4 closers with a WA rate under .500: Issy .488, Lidge .477, Burgos .449 and Dempster .427.  (Turnbow was even worse, .421, but he lost his job.) My question: does this mean they are below average pitchers or below average closers?


#8    Tangotiger      (see all posts) 2006/09/19 (Tue) @ 12:17

Removing the knowledge of their role (starter or reliever), this makes them below average pitchers.

Since it is easier to relieve than to start, it makes their performance that much worse.  So, in short, those numbers would roughly be a below-average reliever and very-below-average pitcher.

***

As for posting problems, I have no control over this.  But, I am shopping for a new ISP.


#9    John Beamer      (see all posts) 2006/09/19 (Tue) @ 12:17

I quite often have posting problems too. I think the trick is to copy everything before posting ...


#10    Tangotiger      (see all posts) 2006/09/19 (Tue) @ 12:42

I consider a nonpitcher and starter’s replacement level as .380 winning percentage, and a reliever’s replacement level as .475 winning percentage.  (This gives a team winning percentage of .300).

In terms of PWA (player win average or win points divided by win+loss points), this corresponds to:
.460 for a nonpitcher/starter, and .490 for a reliever.

As an illustration, there’s about 2.8 game points per game, of which 1.4 goes to the hitters, and 1.4 to the pitchers.  For each game, each hitter has .15 game points, each starter at 0.9 and each relievers at 0.15 (on average).

Let’s work it out. 
- Hitters: .15 game points x 162 games = 24.  The average would be 12 WA and 12 LA.  The replacement would be 11 WA and 13 WA.  11/24=.460
- Starters: replacement per 9 innings is -.12 WPA, or -.08 per 6-inning start.  Give him 33 starts, and an average *pitcher* would have 33x.9=30 game points, or 15 WA and 15 LA. (Average starter would be a bit worse) The replacement is -.08x33=-2.6 WPA, or 13.7 WA and 16.3 LA.  13.7/30=.460
- Relievers: replacement per 9 innings is -.025, or -.003 per 1-inning relief game.  Give him 80 games, and an average *pitcher* would have 80x.15=12 game points, or 6 WA and 6 LA.  Replacement is -.003x80=-.24, or 5.88 WA.  5.88/12=.490

Or something like that.

(I’m not responsible for any calculation mistakes.)


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