Performance Snapshot
TeamDocks Match Data
Wallbang/smoke/distance signals need at least 2 of this player's matches processed with kill-level analysis - will fill in as more of their matches get analyzed.
Trust Breakdown
Our own heuristic from Steam signals, playtime, FACEIT and Leetify behaviour. Not a cheat verdict, not affiliated with Valve/Steam/Leetify/FACEIT/HLTV.
Score starts at 100. Every row below shows the exact rule that fired and its effect in percent - directly the same points that make up the 0-100 score.
Account Signals
+11%Account is 1+ years old
300h+ in CS2
200-2000h across the whole Steam library
10+ games owned - real library
5+ friends
round(level / 10), capped at +3
3+ badges owned
Inventory is private - can't verify
Ban History
-20%Base penalty -40% × age weight 0.5 (2.5y old ban)
Our Own Match Data
-1.1%Peak single-match outcome anomaly 9.6/100 (rating/ADR/KD/HS% combined) — above the network average of all analyzed performances. Confirmed-banned cheaters average ~2.3x the network's typical peak. Dampened — only 1 of this player's matches analyzed so far, so this is provisional.
Leetify Breakdown
Matches in our system
No matches recorded for this player yet.
Kill & death map
Where this player gets their kills (and dies), aggregated across every match we've parsed, drawn over the map radar.
Mechanics
Utility usage, movement discipline, and spray control - computed from real per-tick demo data, not estimated. Only matches we've fully processed count toward these numbers.
Friends Network
Steam friends list signals - not from our own match data. Only computed on demand, cached 6h.