★ᴄᴇʟᴇꜱᴛɪᴀ★

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76561199249190443

train
anubis
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
72
TeamDocks
our rating
74
Aim
leetify
41
Positioning
leetify
54
Utility
leetify
Best match
24–15 · 1.65
Mirage · peak rating
Matches analysed
2 · 1.39 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.28 · Normal
HS % 49.6% · Normal
Spray Control 71.0 · Normal
Preaim 7.1° · Normal
Counter-Strafing 80.1% · Normal
Time to Damage 617ms · Normal
CS2 Hours
private
Account Age
4y
4 months
Steam Level
24
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
72
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
72
our skill index
Ø Rating
1.39
Ø K/D
1.28
Ø ADR
99.1
Ø KAST
78.3%
Ø HS
49.6%
Kill-level signals
Wallbang Kills
6.8%
Smoke Kills
2.3%
Ø Kill Distance
19m
Duel & utility signals
Ø Utility Dmg
7
HE + molotov, per match
Ø Equip Value
$3,894
post-buy, per round
Full-buy Win
52.9%
rounds won on a full buy
military_tech

TeamDocks Rating

2 matches · provisional

Our own 0–100 skill index, a weighted composite of every performance dimension we can measure from this player's parsed demos — not Leetify's rating. Each row below shows its raw value, its 0–100 sub-score and how many points it contributed to the final number.

Provisional — based on only 2 analyzed matches. Firms up as more of this player's games get processed.

72
050100
Impact Rating79ADR84KAST81K/D57Headshot %59Spray Control71Counter-Strafe79Flash Quality20
Impact Rating 1.39
27% weight +21.1
ADR 99.1
14% weight +12.0
KAST 78.3%
14% weight +11.6
Spray Control 71
11% weight +8.1
Counter-Strafe 79
10% weight +7.5
K/D 1.28
11% weight +6.5
Headshot % 49.6%
8% weight +4.5
Flash Quality 20%
5% weight +1.0

Final score = weighted average of each dimension's 0–100 sub-score. Contribution = sub-score × (renormalized weight). Not affiliated with Valve/Leetify/FACEIT — this is our own measure from our own demo parsing.