CSNERD For hardcore spergs...

SHiPZ:

EspiranTo:

ottoNd:

importanceplayerP value
1SHiPZ0.05100
2EspiranTo0.08550
3ottoNd0.10790
4LETN10.12070
5emi0.35650
6oT0.79790
7oTPistolAndAEWon0.88660
                           Logit Regression Results                           
==============================================================================
Dep. Variable:                 MapWon   No. Observations:                   15
Model:                          Logit   Df Residuals:                       11
Method:                           MLE   Df Model:                            3
Date:                Sat, 09 May 2020   Pseudo R-squ.:                  0.5299
Time:                        12:29:40   Log-Likelihood:                -4.0896
converged:                       True   LL-Null:                       -8.6987
Covariance Type:            nonrobust   LLR p-value:                   0.02653
==============================================================================
                 coef    std err          z      P>|z|      [0.025      0.975]
------------------------------------------------------------------------------
const        -24.7191     19.822     -1.247      0.212     -63.569      14.130
SHiPZ          0.6695      0.521      1.285      0.199      -0.351       1.690
EspiranTo      0.2758      0.350      0.788      0.430      -0.410       0.962
ottoNd         0.4108      0.379      1.085      0.278      -0.332       1.153
==============================================================================

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.