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
-9%Account is 1+ years old
Game details are private - can't verify CS2 playtime
Game details are private - can't verify game library (already accounted for once via CS2 Hours above)
Friends list is private - can't verify
round(level / 10), capped at +3
Fewer than 3 badges
Inventory is private - can't verify
Our Own Match Data
-9.2%Peak single-match outcome anomaly 66.8/100 (rating/ADR/KD/HS% combined) — top ~0.3% 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.
Matches in our system
| Match | Map | K/D/A | ADR | Rating | Datum |
|---|---|---|---|---|---|
| CSGO-OAXsS-8SKNG-Q6T4M-Srvdn-GOBJC |  de_nuke |
40/15/6 | 210.6 | 2.62 | 2026-06-28 03:06:38 · 27m 43s |
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.