CSNERD For hardcore spergs...

oSee:

oT:

JT:

motm:

importanceplayerP value
1oSee0.00000
2oT0.00000
3JT0.00010
4motm0.00010
5Sonic0.00090
6oTPistolAndAEWon0.34260
7floppy0.36680
                           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.:                  0.7828
Time:                        11:18:47   Log-Likelihood:                -10.963
converged:                       True   LL-Null:                       -50.476
Covariance Type:            nonrobust   LLR p-value:                 2.801e-16
==============================================================================
                 coef    std err          z      P>|z|      [0.025      0.975]
------------------------------------------------------------------------------
const        -19.8935      7.766     -2.561      0.010     -35.116      -4.671
oSee           0.5612      0.211      2.661      0.008       0.148       0.975
oT            -1.7576      0.604     -2.909      0.004      -2.942      -0.574
JT             0.7488      0.302      2.482      0.013       0.158       1.340
motm           0.6151      0.264      2.330      0.020       0.098       1.132
==============================================================================

Possibly complete quasi-separation: A fraction 0.33 of observations can be
perfectly predicted. This might indicate that there is complete
quasi-separation. In this case some parameters will not be identified.