Give me some more examples as I am still not following you.
What Blhurr means is not that easy with your kind of stats, probably. But here is an example: we have Player A
and player B
. Player A
has played the following matches:
- Match 1: from 2013-01-20 15:00 UTC to 2013-01-20 19:00 UTC, 1000 score, 16:9 K/D
- Match 2: from 2013-01-21 16:00 UTC to 2013-01-21 21:00 UTC, 1200 score, 20:6 K/D
- Match 3: from 2013-01-22 18:00 UTC to 2013-01-22 23:00 UTC, 900 score, 5:2 K/D
- Match 4: from 2013-01-23 17:00 UTC to 2013-01-23 20:00 UTC, 800 score, 15:1 K/D
And Player B
- Match 1: from 2013-01-25 15:00 UTC to 2013-01-25 16:00 UTC, 500 score, 17:9 K/D
- Match 2: from 2013-01-26 16:00 UTC to 2013-01-26 17:00 UTC, 800 score, 20:5 K/D
- Match 3: from 2013-01-26 18:00 UTC to 2013-01-26 20:00 UTC, 1000 score, 16:2 K/D
The cumulative score for Player A
is 3900, for Player B
What Blhurr means now is, that you normalize this over a period of time, say you only take the cummulative score (and K/D) over the last 4 hours that a player has played (realistically you'd take 24 hours or multiples of that). In this case the cumulative score would be 980 for Player A
(assuming he made a score of 180 in the last 60 minutes of Match 3 though my guess is your tracked data is not that fine grained?) and 2300 for Player B
Or you take the average over the total time for each individual player (i.e. total cumulative score and K/D divided by hours played). Then Player A
would have a score of 229.41 per hour and Player B
would have a score of 575.00 per hour.
In either case you'd need time data, but is that even tracked?