PTSDfromUStour — CS2 Stats
76561198996597349[U:1:1036331621]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like NiKo 65% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 730ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | A | 29 | 17–12 | 59% | -0.03 |
 inferno | D | 17 | 5–12 | 29% | -0.03 |
 dust2 | A | 17 | 10–7 | 59% | -0.03 |
 cache | A | 11 | 6–5 | 55% | -0.07 |
 overpass | B | 10 | 5–5 | 50% | -0.04 |
 train | S | 6 | 4–2 | 67% | -0.01 |
 nuke | D | 6 | 2–4 | 33% | -0.06 |
 ancient | — | 2 | 2–0 | 100% | -0.03 |
 vertigo | — | 2 | 1–1 | 50% | -0.10 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 730.2029ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3821 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 24.375% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 5–13 | -0.04 | 28% | 21 May → | |
| mirage | 13–11 | 0.01 | 32% | 16 May → | |
| inferno | 13–9 | 0.01 | 17% | 15 May → | |
| dust2 | 13–8 | -0.11 | 13% | 15 May → | |
| mirage | 6–3 | -0.01 | 40% | 15 May → | |
| inferno | 6–13 | -0.06 | 21% | 14 May → | |
| train | 13–11 | -0.04 | 11% | 14 May → | |
| nuke | 6–13 | -0.07 | 14% | 14 May → | |
| nuke | 10–7 | 0.02 | 22% | 14 May → | |
| mirage | 3–13 | -0.04 | 47% | 13 May → | |
| inferno | 3–9 | -0.08 | 50% | 13 May → | |
| mirage | 6–13 | -0.06 | 21% | 13 May → | |
| mirage | 9–13 | -0.07 | 19% | 11 May → | |
| dust2 | 13–8 | -0.00 | 12% | 10 May → | |
| overpass | 12–12 | -0.05 | 28% | 10 May → | |
| mirage | 13–10 | -0.09 | 11% | 2 May → | |
| inferno | 7–2 | 0.01 | 12% | 2 May → | |
| cache | 3–13 | -0.07 | 43% | 2 May → | |
| dust2 | 13–7 | -0.04 | 22% | 2 May → | |
| cache | 13–10 | -0.02 | 22% | 29 Apr → | |
| cache | 13–2 | -0.03 | 31% | 29 Apr → | |
| mirage | 13–2 | 0.02 | 20% | 13 Mar → | |
| nuke | 2–13 | -0.06 | 5% | 11 Mar → | |
| mirage | 3–13 | -0.05 | 23% | 11 Mar → | |
| dust2 | 13–9 | -0.05 | 21% | 24 Jul → | |
| dust2 | 13–4 | -0.03 | 13% | 24 Jul → | |
| overpass | 13–10 | 0.10 | 29% | 24 Jul → | |
| mirage | 13–5 | -0.02 | 16% | 25 Jan → | |
| inferno | 13–2 | 0.04 | 14% | 29 Feb → | |
| overpass | 4–13 | -0.15 | 26% | 30 Nov → | |
| mirage | 13–10 | -0.10 | 6% | 30 Nov → | |
| mirage | 16–4 | -0.08 | 12% | 24 Aug → | |
| overpass | 10–16 | -0.05 | 17% | 21 Aug → | |
| ancient | 16–6 | -0.05 | 8% | 6 Aug → | |
| nuke | 7–16 | -0.10 | 9% | 6 Aug → | |
| cache | 16–11 | -0.06 | 5% | 5 Aug → | |
| mirage | 7–16 | -0.09 | 23% | 5 Aug → | |
| dust2 | 16–9 | -0.05 | 8% | 22 May → | |
| cache | 16–13 | -0.06 | 14% | 14 May → | |
| inferno | 2–16 | -0.15 | 6% | 14 May → | |
| mirage | 16–9 | -0.03 | 19% | 8 May → | |
| inferno | 9–16 | -0.10 | 17% | 8 May → | |
| vertigo | 13–16 | -0.11 | 6% | 1 May → | |
| cache | 13–16 | -0.11 | 28% | 1 May → | |
| mirage | 15–15 | -0.03 | 6% | 24 Apr → | |
| mirage | 14–16 | -0.10 | 12% | 6 Jul → | |
| cache | 9–6 | -0.11 | 17% | 18 Jun → | |
| cache | 9–3 | -0.13 | 0% | 18 Jun → | |
| overpass | 6–16 | -0.12 | 11% | 18 Jun → | |
| dust2 | 13–16 | -0.11 | 14% | 6 Jun → | |
| vertigo | 16–9 | -0.09 | 11% | 23 May → | |
| mirage | 9–6 | -0.07 | 31% | 23 May → | |
| cache | 12–16 | -0.04 | 20% | 8 Apr → | |
| overpass | 8–8 | -0.01 | 14% | 8 Apr → | |
| dust2 | 8–8 | 0.01 | 29% | 3 Apr → | |
| overpass | 9–6 | -0.03 | 28% | 3 Apr → | |
| dust2 | 8–8 | 0.03 | 20% | 3 Apr → | |
| nuke | 9–7 | -0.03 | 6% | 1 Mar → | |
| mirage | 9–1 | -0.06 | 11% | 1 Mar → | |
| inferno | 8–8 | -0.13 | 20% | 27 Feb → | |
| nuke | 6–9 | -0.10 | 27% | 27 Feb → | |
| cache | 4–9 | -0.18 | 33% | 27 Feb → | |
| overpass | 9–3 | -0.04 | 26% | 3 Dec → | |
| dust2 | 6–9 | -0.07 | 31% | 2 Dec → | |
| train | 6–14 | -0.05 | 12% | 30 Nov → | |
| cache | 7–16 | 0.00 | 15% | 19 Aug → | |
| overpass | 16–13 | 0.00 | 13% | 18 Aug → | |
| mirage | 16–13 | 0.00 | 14% | 16 Jul → | |
| train | 16–1 | 0.00 | 12% | 16 Jul → | |
| dust2 | 16–13 | 0.00 | 8% | 16 Jul → | |
| mirage | 10–16 | 0.00 | 13% | 15 Jul → | |
| dust2 | 16–13 | 0.00 | 8% | 15 Jul → | |
| mirage | 16–12 | 0.00 | 15% | 15 Jul → | |
| inferno | 8–16 | 0.00 | 13% | 13 Jul → | |
| mirage | 5–16 | 0.00 | 14% | 12 Jul → | |
| train | 16–11 | 0.00 | 7% | 12 Jul → | |
| mirage | 16–7 | 0.00 | 25% | 12 Jul → | |
| mirage | 16–8 | 0.00 | 14% | 12 Jul → | |
| inferno | 9–16 | 0.00 | 8% | 10 Jul → | |
| inferno | 9–16 | 0.00 | 14% | 9 Jul → | |
| dust2 | 16–19 | 0.00 | 13% | 9 Jul → | |
| dust2 | 16–10 | 0.00 | 16% | 9 Jul → | |
| inferno | 16–6 | 0.00 | 67% | 8 Jul → | |
| dust2 | 10–16 | 0.00 | 11% | 8 Jul → | |
| dust2 | 19–22 | 0.00 | 14% | 8 Jul → | |
| mirage | 16–9 | 0.00 | 12% | 8 Jul → | |
| train | 6–16 | 0.00 | 11% | 8 Jul → | |
| mirage | 18–22 | 0.00 | 11% | 8 Jul → | |
| overpass | 16–14 | 0.00 | 11% | 6 Jul → | |
| train | 16–7 | 0.00 | 24% | 6 Jul → | |
| inferno | 12–16 | 0.00 | 20% | 5 Jul → | |
| inferno | 16–8 | 0.00 | 11% | 4 Jul → | |
| inferno | 14–16 | 0.00 | 27% | 3 Jul → | |
| ancient | 16–10 | 0.00 | 50% | 3 Jul → | |
| mirage | 7–16 | 0.00 | 7% | 1 Jul → | |
| mirage | 10–16 | 0.00 | 21% | 24 Jun → | |
| mirage | 16–8 | 0.00 | 17% | 24 Jun → | |
| mirage | 16–11 | 0.00 | 13% | 23 Jun → | |
| dust2 | 16–6 | 0.00 | 9% | 23 Jun → | |
| inferno | 9–16 | 0.00 | 6% | 21 Jun → |
Match data via Leetify.