code: def predict_one_component(self, team_1, team_2, neutral=False):
          
          if self.latent_variables.estimated is False:
              raise Exception("No latent variables estimated!")
          else:
              if type(team_1) == str:
                  team_1_ability = np.trim_zeros(self._model_abilities(self.latent_variables.get_z_values()).T[self.team_dict[team_1]], trim='b')[-1]
                  team_2_ability = np.trim_zeros(self._model_abilities(self.latent_variables.get_z_values()).T[self.team_dict[team_2]], trim='b')[-1]
   
              else:
                  team_1_ability = np.trim_zeros(self._model_abilities(self.latent_variables.get_z_values()).T[team_1], trim='b')[-1]
                  team_2_ability = np.trim_zeros(self._model_abilities(self.latent_variables.get_z_values()).T[team_2], trim='b')[-1]
  
          t_z = self.transform_z()
  
          if neutral is False:
              return self.link(t_z[0] + team_1_ability - team_2_ability)
          else:
              return self.link(team_1_ability - team_2_ability)
docs: Returns team 1's probability of winning