76561199223327370
Performance Snapshot
MDTeamDocks 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 2 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
+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
Our Own Match Data
-9.4%Peak single-match outcome anomaly 8.3/100 (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 2 of this player's matches analyzed so far, so this is provisional.
6.3% of kills through walls across 2 analyzed matches (penalty scales above 4%)
9.4% of kills through smoke (penalty scales above 8%)
3.1% of analyzed kills had the crosshair already tracking the target under 150ms before the shot, at 10m+ range (penalty scales above 2.5%)
Leetify Breakdown
Matches in our system
| Match | Map | K/D/A | ADR | Rating | Datum |
|---|---|---|---|---|---|
| CSGO-em4q9-6xC7d-LnDFM-hvDMS-Mm7iL |  de_inferno |
13/17/6 | 77.3 | 0.86 | 2026-06-14 20:40:26 · 36m 30s |
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.