CSNERD For hardcore spergs...

oSee:

oCT:

JT:

motm:

importanceplayerP value
1oSee0.00000
2oCT0.00000
3JT0.00010
4motm0.00010
5Sonic0.00090
6floppy0.36680
7oCTPistolAndAEWon0.38720
                           Logit Regression Results                           
==============================================================================
Dep. Variable:                 MapWon   No. Observations:                   75
Model:                          Logit   Df Residuals:                       70
Method:                           MLE   Df Model:                            4
Date:                Sat, 09 May 2020   Pseudo R-squ.:                  0.7147
Time:                        11:18:47   Log-Likelihood:                -14.403
converged:                       True   LL-Null:                       -50.476
Covariance Type:            nonrobust   LLR p-value:                 7.992e-15
==============================================================================
                 coef    std err          z      P>|z|      [0.025      0.975]
------------------------------------------------------------------------------
const        -14.1387      5.497     -2.572      0.010     -24.913      -3.364
oSee           0.4849      0.179      2.715      0.007       0.135       0.835
oCT           -1.4736      0.486     -3.031      0.002      -2.426      -0.521
JT             0.6590      0.270      2.444      0.015       0.131       1.187
motm           0.3200      0.125      2.552      0.011       0.074       0.566
==============================================================================

Possibly complete quasi-separation: A fraction 0.25 of observations can be
perfectly predicted. This might indicate that there is complete
quasi-separation. In this case some parameters will not be identified.