I like it because of its simplicity and its consistency in explaining what relievers are supposed to do, that is shut down the game and prevent meltdowns (if there's a lead), or provide the offense with a chance to win the game (if there isn't). All the baseball stat nerds are writing a piece on this, so I thought I would do some of my own analysis. Here's my version of Erik Manning's "Fun with Shutdowns and Meltdowns" (linked in the first paragraph; data from FanGraphs, of course).
Most Net Shutdowns (SD - MD) since 2008
Name | Games | WPA | WPA/LI | SD | MD | Net SD | Net SD% | SV | BS |
Mariano Rivera | 196 | 12.69 | 6.01 | 105 | 18 | 87 | 44.39% | 117 | 5 |
Francisco Rodriguez | 208 | 6.56 | 2.72 | 110 | 24 | 86 | 41.35% | 131 | 20 |
Joe Nathan | 192 | 9.69 | 4.93 | 96 | 16 | 80 | 41.67% | 115 | 14 |
Francisco Cordero | 208 | 3.06 | 1.21 | 103 | 26 | 77 | 37.02% | 114 | 19 |
Carlos Marmol | 233 | 9.21 | 4.93 | 103 | 29 | 74 | 31.76% | 27 | 8 |
Fewest Net Shutdowns
Name | Games | WPA | WPA/LI | SD | MD | Net SD | Net SD% | SV | BS |
Jason Grilli | 159 | -1.05 | 1.4 | 27 | 31 | -4 | -2.52% | 2 | 2 |
Luis Ayala | 163 | -5.26 | -1.41 | 33 | 37 | -4 | -2.45% | 10 | 11 |
Cla Meredith | 214 | -3.38 | -1.16 | 39 | 42 | -3 | -1.40% | 1 | 14 |
Brian Bass | 95 | -1.2 | -1.57 | 18 | 20 | -2 | -2.11% | 1 | 1 |
Brian Stokes | 149 | -1.75 | -0.54 | 23 | 23 | 0 | 0.00% | 1 | 5 |
Best Net Shutdown Rates (SD - MD / Games)
Name | Games | WPA | WPA/LI | SD | MD | Net SD | Net SD% | SV | BS |
Mariano Rivera | 196 | 12.69 | 6.01 | 105 | 18 | 87 | 44.39% | 117 | 5 |
Joe Nathan | 192 | 9.69 | 4.93 | 96 | 16 | 80 | 41.67% | 115 | 14 |
Francisco Rodriguez | 208 | 6.56 | 2.72 | 110 | 24 | 86 | 41.35% | 131 | 20 |
Joakim Soria | 170 | 11.1 | 4.42 | 84 | 16 | 68 | 40.00% | 91 | 11 |
Brian Wilson | 166 | 4.12 | 1.34 | 88 | 25 | 63 | 37.95% | 91 | 15 |
Worst Net Shutdown Rates
Name | Games | WPA | WPA/LI | SD | MD | Net SD | Net SD% | SV | BS |
Jason Grilli | 159 | -1.05 | 1.4 | 27 | 31 | -4 | -2.52% | 2 | 2 |
Luis Ayala | 163 | -5.26 | -1.41 | 33 | 37 | -4 | -2.45% | 10 | 11 |
Brian Bass | 95 | -1.2 | -1.57 | 18 | 20 | -2 | -2.11% | 1 | 1 |
Cla Meredith | 214 | -3.38 | -1.16 | 39 | 42 | -3 | -1.40% | 1 | 14 |
Brian Stokes | 149 | -1.75 | -0.54 | 23 | 23 | 0 | 0.00% | 1 | 5 |
Some interesting facts pop up when we look at these new stats. First off, I think it's safe to say that GMs and fantasy owners should stay away from Grilli, Ayala, Bass, Meredith and Stokes. Second, SD pretty much confirms the general consensus about who the greatest relievers in the game happen to be, with Mo Rivera leading a pack that also includes K-Rod, Joakim Soria and Joe Nathan. Carlos Marmol's appearance on this list seems to make the best case for the new stat. We all know he's a very good reliever, but having few chances to save he got very little credit for his efforts. Fret no more, Carlos.
Tango at Inside the Book paraphrases Bill James when he points out that the best new stats are part confirmation, part surprise. Tango shoots for 80% confirmation as a confirmation threshold. Personally I think that seems high, but perhaps I'm just a risk-taker. What kind of confirmation are we looking at with SD and MD?
When I regress Shutdown Rate (SD - MD / Games) as a dependent variable against Save Percentage (SV / SV Opportunities), I see an R^2 of 0.5292, which works out to a correlation (R) of about 73%. Raw SV and SD correlate at about 76%. I'd say that's pretty close to Tango's 80%. Graphs illustrating the relationship between the old and new stats are posted below.
(Photo Credit: CNNSI)
2 comments:
Remember to includes Holds as a success in the Save Rate, as the definition of Blown Saves includes Blown Holds. For example, Cla Meredith with 1 SV and 14 BS looks pretty horrible, because he's not being given credit for his 15 Hld in 2008-09. 16 SV+Hld and 14 BS is still well below the MLB average rate of 85.3%
@Brian: Good points. I didn't see holds as a stat in the FanGraphs data I used, but I suppose I could add that retroactively.
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