Positional YoY Stats regression

This is the breakout of mean, standard deviation for some common roto categories. The sample is the last ten years (2009-2018).
Also included is a regression of a YoY r-squared for the category. The regression is run for only players that had 300+ ABs in a year and considering how well the next year’s category was explained by the current year (regardless of that year’s ABs).
The regression is trying to say “how well does a catchers last year HR’s explain next years?” for example.

CSSOF1B2BSS3B

Stat Mean StdDev YoY_RSqr
AVG257290.15
OBP323340.21
SLG415510.08
HR14.136.020.25
SB3.133.110.24
RBI56.6716.070.19
R47.6812.330.2
wRC+99.7520.210.09

Stat Mean StdDev YoY_RSqr
AVG266280.11
OBP321310.16
SLG402660.23
HR12.37.530.24
SB13.2610.50.5
RBI56.1619.110.18
R64.5218.310.21
wRC+94.7923.340.17

Stat Mean StdDev YoY_RSqr
AVG269270.11
OBP336310.18
SLG434630.22
HR16.139.470.33
SB14.6312.410.46
RBI60.1623.350.28
R69.1319.930.23
wRC+108.4822.470.17

Stat Mean StdDev YoY_RSqr
AVG271310.22
OBP353400.38
SLG466680.23
HR23.1910.070.35
SB4.765.370.44
RBI80.8524.430.24
R71.8121.340.29
wRC+120.624.770.25

Stat Mean StdDev YoY_RSqr
AVG271300.16
OBP331310.1
SLG415570.22
HR13.748.760.31
SB11.9810.890.53
RBI58.222.150.23
R67.8922.540.24
wRC+102.3221.070.15

Stat Mean StdDev YoY_RSqr
AVG266280.11
OBP321310.16
SLG402660.23
HR12.37.530.24
SB13.2610.50.5
RBI56.1619.110.18
R64.5218.310.21
wRC+94.7923.340.17

Stat Mean StdDev YoY_RSqr
AVG270250.12
OBP334290.18
SLG446570.24
HR18.749.160.26
SB4.975.310.31
RBI70.6821.60.15
R65.0420.530.23
wRC+110.3520.260.25

Next, I did the same run — but tried to define what a “good” player may be. The kind of player you want to auction at higher than minimum bid in the “lates”. So, I used 300 ABs and wRC+ above mean for the prior year.

CSSOF1B2BSS3B

Stat Mean StdDev YoY_RSqr
AVG263280.24
OBP332300.22
SLG426480.08
HR14.656.090.25
SB3.283.110.23
RBI58.8315.920.17
R50.0511.880.17
wRC+105.6317.190.1

Stat Mean StdDev YoY_RSqr
AVG273270.11
OBP329290.15
SLG418630.21
HR13.447.670.23
SB14.4311.010.52
RBI59.5818.890.15
R68.5317.540.15
wRC+101.5221.450.13

Stat Mean StdDev YoY_RSqr
AVG274250.1
OBP344290.18
SLG447610.24
HR17.429.70.33
SB15.9412.770.46
RBI63.5523.310.28
R73.7619.110.19
wRC+114.5620.490.18

Stat Mean StdDev YoY_RSqr
AVG284250.17
OBP369350.41
SLG496560.19
HR26.019.740.34
SB5.445.760.43
RBI88.4721.870.16
R80.0518.610.21
wRC+132.1219.520.22

Stat Mean StdDev YoY_RSqr
AVG280260.17
OBP341250.09
SLG432500.24
HR14.948.980.33
SB12.7111.340.54
RBI63.0221.730.22
R73.7521.270.19
wRC+109.8716.510.16

Stat Mean StdDev YoY_RSqr
AVG273270.11
OBP329290.15
SLG418630.21
HR13.447.670.23
SB14.4311.010.52
RBI59.5818.890.15
R68.5317.540.15
wRC+101.5221.450.13

Stat Mean StdDev YoY_RSqr
AVG275240.16
OBP343260.15
SLG460550.23
HR20.259.270.2
SB5.485.70.29
RBI75.4221.190.1
R70.4519.650.15
wRC+116.9117.640.21

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