- Kills
- 3
- +0 in the last 90 days
- Losses
- 35
- +0 in the last 90 days
- Efficiency
- ISK Efficiency 1%
- ISK destroyed
- 29.9M
- +0 in the last 90 days
- Activity
- Inactive
- 0 kills/day · last 90 days
Combat Record
Career-long numbers from eve-kill
Combat
- Kills
- 3
- Losses
- 35
- Danger Ratio
- 100%
- Final Blows
- 1
- Points
- 3
ISK
- Destroyed
- 29.9M
- Lost
- 4.83B
- Balance
- -4.80B
- ISK Efficiency
- 1%
Solo
- Solo Kills
- 0
- Solo Ratio
- 0%
- Avg Kills/Day
- —
Other
- NPC Losses
- 0
- NPC Loss Ratio
- 0%
- Activity
- Inactive
Activity
What the corporation flies, where it fights, 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.
Battles
Engagements in the selected window, from our own killmail archive
Description
Psychologists in space.
From the Reynard Program:
"Starting from the premise that Real World (RW) characteristics are reflected in VW behavior, the IARPA Reynard program seeks to identify behavioral indicators in VWs and MMOGs that are related to the RW characteristics of the users. Performers in the Reynard program will be expected to produce one or more VW behavioral indicators that serve to identify RW attributes of individuals or groups. Attributes of interest include the following: gender, approximate age, economic status, educational level, occupation, ideology or “world view”, degree of influence, “digital native” vs “digital immigrant,” approximate physical geographic location, native language, and culture. Other RW characteristics might also be empirically deduced through behavioral indicators. VW behavioral indicators may be examined in the areas of Avatars and Representation, Communication, Things That Avatars Do, Group Formation and Dynamics, Money and Economics, and Cultural Differences."
From the Reynard Program:
"Starting from the premise that Real World (RW) characteristics are reflected in VW behavior, the IARPA Reynard program seeks to identify behavioral indicators in VWs and MMOGs that are related to the RW characteristics of the users. Performers in the Reynard program will be expected to produce one or more VW behavioral indicators that serve to identify RW attributes of individuals or groups. Attributes of interest include the following: gender, approximate age, economic status, educational level, occupation, ideology or “world view”, degree of influence, “digital native” vs “digital immigrant,” approximate physical geographic location, native language, and culture. Other RW characteristics might also be empirically deduced through behavioral indicators. VW behavioral indicators may be examined in the areas of Avatars and Representation, Communication, Things That Avatars Do, Group Formation and Dynamics, Money and Economics, and Cultural Differences."