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2043: Rotation Rankings
#1
Assumptions of this Model

-Each team has identified and are playing their top 5 starting pitchers
-The model is done using weighted averages so that the ace of the staff starts more games than the other pitchers, SP2 starts slightly more than SP3 and so on. The weights are very close and only have a small impact
-This cannot account for injuries, drops or jumps that may happen, these rankings are as of right now.

If you have taken statistics and/or understand normal distribution these Z scores will make sense to you. If not here is a quick run down on understanding them. A z score of 0 indicates that your team falls around the average. As the absolute value of your z score increases, this indicates that you are further away from the mean and in this case having a negative value is a good thing.

These rankings are free of any bias that I have and are purely mathematically based on the talent of the players that your team has.

Rank Team Rotation Z Score
1 :BAL: -1.64
2 :TEX: -1.46
3 :PHI: -1.38
4 :HOU: -1.28
5 :DET: -1.11
6 :NYM: -0.99
7 :WAS: -0.95
8 :TOR: -0.91
9 :KCR: -0.91
10 :ATL: -0.72
11 :ARI: -0.64
12 :MIN: -0.45
13 :STL: -0.18
14 :CIN: -0.04
15 :SEA: -0.01
16 :SDP: 0.04
17 :PIT: 0.05
18 :LAA: 0.07
19 :COL: 0.38
20 :CHW: 0.44
21 :BOS: 0.52
22 :CLE: 0.75
23 :FLA: 0.76
24 :CHC: 0.85
25 :SFG: 1.15
26 :NYY: 1.35
27 :TBR: 1.36
28 :OAK: 1.52
29 :MIL: 1.57
30 :LAD: 1.86

World Champs: 2071, 2106, 2108
#2
is this done using a bell curve with standard deviation or is it a linear based model? also, this will probably only be useful once people actually have DCs uploaded.
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