A Monte Carlo simulator for the Splatoon Rank System
Usage:
python splatoon_rank.py
Sample output:
#############Initializing Players#############
10000 players
#################Playing Game#################
10000 Rounds, 100000000 Total Games
Skill Based == False, 0 Point Rank Down == False
##################Summary####################
Wins 49996021
Loses 50003979
Grade Results
Letter Count Percent
C- 0 0.0%
C 17 0.2%
C+ 109 1.1%
B- 344 3.4%
B 925 9.3%
B+ 1228 12.3%
A- 1667 16.7%
A 2311 23.1%
A+ 3399 34.0%
Letter Level Results
Letter Count Percent
C 126 1.3%
B 2497 25.0%
A 7377 73.8%
####################Done#####################
Sample output from python splatoon_rank_extended_s.py (includes the S/S+ ranks and Version 2.2 point rules):
#############Initializing Players#############
10000 players
#################Playing Game#################
10000 Rounds, 100000000 Total Games
Skill Based == False, 0 Point Rank Down == False
##################Summary####################
Wins 50006094
Loses 49993906
Grade Results
Letter Count Percent
C- 2 0.02%
C 10 0.1%
C+ 61 0.61%
B- 203 2.03%
B 484 4.84%
B+ 629 6.29%
A- 881 8.81%
A 1196 11.96%
A+ 1577 15.77%
S 4606 46.06%
S+ 351 3.51%
Letter Level Results
Letter Count Percent
C 73 0.73%
B 1316 13.16%
A 3654 36.54%
S 4957 49.57%
####################Done#####################