- Kills
- 215
- +0 in the last 90 days
- Losses
- 97
- +0 in the last 90 days
- Efficiency
- ISK Efficiency 98%
- ISK destroyed
- 93.50B
- +0 in the last 90 days
- Activity
- Inactive
- 0 kills/day · last 90 days
Combat Record
Career-long numbers from eve-kill
Combat
- Kills
- 215
- Losses
- 97
- Danger Ratio
- 92%
- Final Blows
- 4
- Points
- 215
ISK
- Destroyed
- 93.50B
- Lost
- 1.84B
- Balance
- +91.66B
- ISK Efficiency
- 98%
Solo
- Solo Kills
- 0
- Solo Ratio
- 0%
- Avg Kills/Day
- —
Other
- NPC Losses
- 8
- NPC Loss Ratio
- 8%
- Activity
- Inactive
Damage Dealt91.8K
Damage Ratio · 18%
Damage Taken404.5K
Activity
What they fly, where they fight, latest kills and losses
Most Valuable
The priciest kills in the window
Matchups
Who they kill, who kills them, what they lose
Last 90d
Killed
Killed By
Hulls LostLosses broken down by hull class.
In-game bio
def bubbleSort( the_blue_donut ):
n = len( the_blue_donut )
for i in range( n - 1 ) :
flag = 0
for j in range(n - 1) :
if the_blue_donut[j] > the_blue_donut[j + 1] :
tmp = the_blue_donut[j]
the_blue_donut[j] = the_blue_donut[j + 1]
the_blue_donut[j + 1] = tmp
flag = 1
if flag == 0:
break
return the_blue_donut
el = [149, 3504, 4, 33, 3, 5, 2, 1]
result = bubbleSort(el)
print (result)
print("Test is Next")
n = len( the_blue_donut )
for i in range( n - 1 ) :
flag = 0
for j in range(n - 1) :
if the_blue_donut[j] > the_blue_donut[j + 1] :
tmp = the_blue_donut[j]
the_blue_donut[j] = the_blue_donut[j + 1]
the_blue_donut[j + 1] = tmp
flag = 1
if flag == 0:
break
return the_blue_donut
el = [149, 3504, 4, 33, 3, 5, 2, 1]
result = bubbleSort(el)
print (result)
print("Test is Next")