CSNERD For hardcore spergs...

suNny:

oCT:

allu:

Aerial:

importanceplayerP value
1suNny0.00000
2oCT0.00050
3allu0.00280
4Aerial0.02000
5xseveN0.02170
6sergej0.03170
7oCTPistolAndAEWon0.36180
                           Logit Regression Results                           
==============================================================================
Dep. Variable:                 MapWon   No. Observations:                   43
Model:                          Logit   Df Residuals:                       38
Method:                           MLE   Df Model:                            4
Date:                Sat, 09 May 2020   Pseudo R-squ.:                  0.8590
Time:                        11:59:05   Log-Likelihood:                -4.0688
converged:                       True   LL-Null:                       -28.856
Covariance Type:            nonrobust   LLR p-value:                 4.429e-10
==============================================================================
                 coef    std err          z      P>|z|      [0.025      0.975]
------------------------------------------------------------------------------
const        -19.5698      9.020     -2.169      0.030     -37.249      -1.890
suNny          1.1532      0.533      2.164      0.030       0.109       2.198
oCT           -1.3006      0.622     -2.091      0.037      -2.520      -0.082
allu           0.2256      0.150      1.507      0.132      -0.068       0.519
Aerial         0.2640      0.309      0.856      0.392      -0.341       0.869
==============================================================================

Possibly complete quasi-separation: A fraction 0.21 of observations can be
perfectly predicted. This might indicate that there is complete
quasi-separation. In this case some parameters will not be identified.