It’s too early for this but …
I’m testing my scripts and figured I’ll throw in a top ten list as a lark. With so few numbers averages will be skewed in all kinds of strange ways. As explained in previous posts, headers in many lists are overloaded because this data model treats MLB as a single class and batters and pitchers are ranked together.
Rank | WAA | BA/IP | OBP/ERA | PA/G | RBI/W | R/L | Name_Tm | BAT/PITCH |
---|---|---|---|---|---|---|---|---|
1 | 1.1 | 8.0 | 0.00 | 1 | 0 | 0 | Max_Scherzer_DET | PITCH |
2 | 1.1 | 0.375 | 0.444 | 18 | 7 | 6 | Giancarlo_Stanton_MIA | BAT |
3 | 1.0 | 0.353 | 0.421 | 19 | 7 | 5 | Justin_Smoak_SEA | BAT |
4 | 1.0 | 0.280 | 0.280 | 25 | 8 | 4 | Mark_Trumbo_ARI | BAT |
5 | 0.8 | 7.0 | 1.29 | 1 | 0 | 0 | Jason_Vargas_KCA | PITCH |
6 | 0.8 | 0.333 | 0.333 | 18 | 5 | 5 | Brandon_Belt_SFN | BAT |
7 | 0.8 | 0.250 | 0.400 | 15 | 6 | 4 | Adam_LaRoche_WAS | BAT |
8 | 0.7 | 7.0 | 0.00 | 1 | 0 | 0 | Justin_Masterson_CLE | PITCH |
9 | 0.7 | 12.0 | 0.00 | 2 | 1 | 0 | Hyun-jin_Ryu_LAN | PITCH |
10 | 0.7 | 7.0 | 0.00 | 1 | 1 | 0 | Adam_Wainwright_SLN | PITCH |