CSNERD For hardcore spergs...

chrisJ:

oCT:

karrigan:

oCTPistolAndAEWon:

importanceplayerP value
1chrisJ0.00000
2oCT0.00000
3karrigan0.00020
4oCTPistolAndAEWon0.00060
5ropz0.00110
6frozen0.00430
7woxic0.00630
                           Logit Regression Results                           
==============================================================================
Dep. Variable:                 MapWon   No. Observations:                   61
Model:                          Logit   Df Residuals:                       56
Method:                           MLE   Df Model:                            4
Date:                Sat, 09 May 2020   Pseudo R-squ.:                  0.6662
Time:                        11:28:19   Log-Likelihood:                -13.891
converged:                       True   LL-Null:                       -41.616
Covariance Type:            nonrobust   LLR p-value:                 2.616e-11
=====================================================================================
                        coef    std err          z      P>|z|      [0.025      0.975]
-------------------------------------------------------------------------------------
const                -8.5936      4.140     -2.076      0.038     -16.708      -0.479
chrisJ                0.7486      0.310      2.415      0.016       0.141       1.356
oCT                  -1.2810      0.490     -2.613      0.009      -2.242      -0.320
karrigan              0.3883      0.155      2.502      0.012       0.084       0.692
oCTPistolAndAEWon     0.9446      1.224      0.772      0.440      -1.454       3.344
=====================================================================================

Possibly complete quasi-separation: A fraction 0.20 of observations can be
perfectly predicted. This might indicate that there is complete
quasi-separation. In this case some parameters will not be identified.