At the end of a match, you get a match bonus, which is an extra reward of experience. I know it is influenced a lot by whether your team wins or loses, but does anyone know what factors go into calculating it?
By far the largest contributing factor is whether or not your team wins or loses. I actually did a multivariate regression of almost a dozen factors about the game and two other largest contributing factors were your K/D ratio and your Team's Total Score (out of 10,000, 7,500, 200, what have you, depending on game type). Of course, your team winning and your team's total score may be auto-correlated (meaning that there is a correlation betweent the variables of Team Winning and Team Total Score). This means you could either remove Team Winning or Team Total Score and still have a valid model (depending on the degree of Auto-Correlation), but it would not have the same predictive power.
- Your K/D
- Your Team's Score
- Your Team Wins Status
- Total matches regressed: 34
- Data does not appear to be heteroskedastic or homoskedastic
- Correlation between Team Win and Team Total Score was 0.82
- In the data set no draws occured