Performance Snapshot
TeamDocks Match Data
TeamDocks Rating
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 3 analyzed matches. Firms up as more of this player's games get processed.
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.
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
-12%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
Inventory is private - can't verify
Our Own Match Data
-4.2%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 3 of this player's matches analyzed so far, so this is provisional.
5.3% of kills through walls across 3 analyzed matches (penalty scales above 4%)
Recent Form
TeamDocks rating & ADR trend · last 3 analysed matches
Matches in our system
| Match | Map | K/D/A | ADR | Rating | Datum |
|---|---|---|---|---|---|
| CSGO-VBcOR-dfeem-FBLNO-ffhPj-wO8WB |  de_nuke |
11/17/9 | 66.3 | 0.97 | 2026-07-03 08:48:04 · 32m 53s |
| CSGO-czUiq-22BFw-hbXKs-NG6KB-Xdm2H | de_nuke |
14/12/5 | 91.4 | 1.37 | 2026-06-28 18:29:06 · 30m 27s |
| CSGO-BOZqZ-bEY7A-i7qjv-fsPDE-cpEVF | de_nuke |
13/13/4 | 85.2 | 1.18 | 2026-06-28 09:30:53 · 38m 37s |
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.