The pp value shown in the table is the overall pp from all keymodes (adding those columns were a last minute idea, so I didn't store pp values from the scores beforehand), in the next calculations I will store the pp of each play so the pp value shown for comparison will only include maps from the respective keymode. Since you play both 4K and 7K (being better at 4K), the rank difference is quite high.snoverpk wrote:
owie i think i have the largest rank drop in the entire sheet
Also, currently, the system seems to favor accuracy players (people who get very high scores in relatively easy maps, but can't get good scores in hard maps) more than what several people have told me it should. For the next calculations I will try some ways to nerf the rank of those players.
- Modifying how the residuals of the curve fitting in the algorithm are calculated, so, for example, consider that the error in the model in the case when the predicted score is 850k and the achieved score is 900k, is bigger than when the predicted score is 900k and the achieved score is 950k.
- Having a hard cap in the score goals, for example, at 900k score consider as if the player has "mastered" the map, so getting more score than that wouldn't increase the estimation of their skill.