CareerCup

for each players calculate win% first.
we can calculate relative grading for each player
first calculate standard deviation for win percentage and no of years
1.5(sd) = A+
1(sd) = A
0.5(sd) = B+

etc

now assign credits for win% and no of years played.
The weightage could be according to you.. you can assign more credits to win% like 5
and for experience you can assign 3.
5 and 3 are as per my judgement. It could be based on some studies or survey.
assume these are the grades for each player

player win% years
1 A A
2 A+ C
3 B B+

relative grading for player1 (5*9+3*9)/8 = 9
relative grading for player2 (5*10+3*6)/8 = 8.5
relative grading for player3 (5*7+3*8)/8 = 7.37

this way ranks can be calculated.

any comments are appreciated

Find the max no of games played from the data, fix the rank metrics as rank_helper=(games played*wins/max games) or something similar to this and then sort the metrics and assign rank to the corresponding player accordingly.... By this the time complexity will be O(nlogn).

Isnt number_of_games_played = wins + losses?

So rank = (wins)/(number_of_games_played x total_years)

We have to calculate the win % for each player..... Based on the win%, we can rank the players

Win% can be calculated by using the formula
( no of wins) / ( no of games played )