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481
Nanoater

NA - Updated 2 months ago

Player Stats
Totals
Matches
Played
7,708
Won
3,839
Lost
3,869
Player Kills
KDA
1.77
Kills
76,179
Deaths
66,378
Assists
82,000
Objectives
CPM
191
Credits
18,439,270
Objective Time
545m 38s
Damage
Player
419,535,895
Team Healing
12,477,464
Self Healing
7,361,682
Weapon
336,663,248
Shielding
66,477,586
Taken
368,747,439
Most Played Champions
Lifetime
Ying
Support
1.59 KDA
3,721 / 4,494 / 6,843
273 - 288 (49%)
117h 43m
Evie
Flanker
1.5 KDA
5,185 / 4,542 / 3,238
223 - 259 (46%)
100h 14m
Skye
Flanker
1.52 KDA
5,384 / 4,823 / 3,865
221 - 250 (47%)
93h 52m
Cassie
Damage
1.81 KDA
4,617 / 3,594 / 3,767
198 - 204 (49%)
83h 06m
Maeve
Flanker
1.99 KDA
4,415 / 2,919 / 2,775
168 - 136 (55%)
66h 02m
Playtime
1,605h 41m
Casual
1,173h 40m
Ranked
432h 01m
Win / Loss
49.81%
Wins
3,839
Losses
3,869

Playtime by Queue

Stats by Class

Front Line
1334 Games
712
Wins
284h 19m
playtime
3,474,368
Credits
204
CPM
1.82
kda
11,721
kills
10,937
deaths
16,290
assists
75,167,139
damage
4,406
dpm
59,881,049
Weapon
111,780,592
taken
62,858,123
Shielding
19,293
healing
1,145,256
self healing
190m 58s
objective time
712
wins
622
losses
53.37%
Win/Loss Ratio
Support
1984 Games
998
Wins
415h 40m
playtime
4,673,732
Credits
187
CPM
1.79
kda
13,529
kills
14,825
deaths
26,087
assists
85,039,886
damage
3,410
dpm
65,751,297
Weapon
87,375,185
taken
840,995
Shielding
11,882,611
healing
3,189,187
self healing
160m 42s
objective time
998
wins
986
losses
50.3%
Win/Loss Ratio
Damage
2367 Games
1129
Wins
488h 47m
playtime
5,579,027
Credits
190
CPM
1.8
kda
26,751
kills
21,091
deaths
22,537
assists
148,413,820
damage
5,061
dpm
120,814,268
Weapon
88,242,546
taken
2,732,994
Shielding
0
healing
1,315,912
self healing
95m 55s
objective time
1129
wins
1238
losses
47.7%
Win/Loss Ratio
Flanker
2023 Games
1000
Wins
416h 55m
playtime
4,712,143
Credits
188
CPM
1.68
kda
24,178
kills
19,525
deaths
17,086
assists
110,915,050
damage
4,434
dpm
90,216,634
Weapon
81,349,116
taken
45,474
Shielding
575,560
healing
1,711,327
self healing
98m 3s
objective time
1000
wins
1023
losses
49.43%
Win/Loss Ratio