AO.Tools
AO.Tools Battle Report

[BFTD] KongFu PanDa · 2 of 3 kills

4 players · ~1 min · Asia

67% kill share · 3 identified groups · 4 players

3 in identified sides · 1 unguilded player

3 kills · 65.0k fame · From the Albion battle record.

2026-10-14 14:58Z

Kill share from Albion's own battle record — 3 kills across 3 sides.

[BFTD] KongFu PanDa accounted for 67% of recorded kills

[BFTD] KongFu PanDaAlliance2 kills · 1 player67%
[SSSS] BAU BAUAlliance1 kill · 1 death · 1 player33%
[Fish] C O V YAlliance0 kills · 1 death · 1 player0%
Unguilded
1 unguilded player

Not an organization side

Observed kill timeline

Battle window · 14:58–14:58

14:5814:58

[BFTD] KongFu PanDa1 observed kill[SSSS] BAU BAU1 observed kill

1 observed kill — busiest interval, 14:58

Recorded standouts

Kill leader
PGONE2 kills
KongFu PanDa · [BFTD]

SWORDFORCE 1 kill

From Albion's battle record, covering the full roster of 4 players.

Peak damage seen
BAU BAUSeen in 1/2

AAAAAmao 1.9k · groggydogs 825 · PGONE 647

Highest value seen in a single archived event, across 2 kills we archived. Not a battle total.

Peak healing seen
UnguildedSeen in 1/2

Highest value seen in a single archived event, across 2 kills we archived. Not a battle total.

Who killed whom

Counted from the 2 kills AO.Tools archived. Missing events are never inferred.

Killer → victim

  • [BFTD][SSSS]1 kill
  • [SSSS][Fish]1 kill

What they brought

How often each player appears in the 2 kill events AO.Tools archived. Not a battle total.

AAAAAmaoC O V YT6 Master's Heavy Crossbow
T62HT4.2T5.1T6T4.1
Seen in1/2
Peak healing seen0
Peak damage seen1.9k

Equipment snapshot observed 2026-10-14 14:58Z

StarGameCamilers

Equipment not observed

Seen in1/2
Peak healing seen0
Peak damage seen0
ganderrickUnguilded

Equipment not observed

Seen in1/2
Peak healing seen592
Peak damage seen0

Highest-fame kills

Top 2 by kill fame · 2 archived

Detailed kill coverage

2/ 367%

2 of 3 battle kills observed — 67% event coverage.

Analysis below uses only events captured by AO.Tools. Missing events are never inferred.