SKY Player Stats


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PAP
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Min IP:
Reg Season Pitching, all positions, New York, 2052 season (Qualified)
# Name AGE Role Team GS TOT_NP AVG_NP PAP MAX_PAP CAT_1 CAT_2 CAT_3   CAT_4 CAT_5 STRESS
1 Nathaniel Murphy 27 SP NYY 32 2901 90.7 1 1 31 1 0 0 0 0
2 Cato Ambros 25 SP NYY 14 1168 83.4 0 0 14 0 0 0 0 0
3 Aaron Barbetta 31 SP NYY 24 2018 84.1 0 0 24 0 0 0 0 0
4 Matt John 26 SP NYY 7 537 76.7 0 0 7 0 0 0 0 0
5 Antoine Aguilar 33 SP NYY 25 2229 89.2 0 0 25 0 0 0 0 0
6 Tony Calton 28 RP NYY 11 828 75.3 0 0 11 0 0 0 0 0
7 Terence Blevins 36 SP NYY 9 568 63.1 0 0 9 0 0 0 0 0
8 Dave Toller 28 SP NYY 3 254 84.7 0 0 3 0 0 0 0 0
9 David Palmer 36 SP NYY 26 2282 87.8 0 0 26 0 0 0 0 0
10 Carlos Parra 27 SP NYY 3 264 88.0 0 0 3 0 0 0 0 0
11 Lucas Reppond 23 SP NYY 8 713 89.1 0 0 8 0 0 0 0 0
Note 1: Qualified = 1 IP/Game, Current = 162
Note 2: PAP data is only available for current season, but includes all regular season/competition/playoff starts
Note 3: PAP = Pitcher Abuse Points, using PAP^3 formula. This article at Baseball Prospectus is the primary reference. Why is this data relevant? Markus said it is.

TOT_NP = Total number of pitches
AVG_NP = Average number of pitches per start
PAP = Total Pitcher Abuse Points
MAX_PAP = Highest PAP for one start
CAT_1 = 0-100 pitches
CAT_2 = 101-109 pitches
CAT_3 = 110-121 pitches
CAT_4 = 122-132 pitches
CAT_5 = 133+ pitches
STRESS = PAP / TOT_NP