gauche — CS2 Stats
76561199079282889[U:1:1119017161]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.04 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 71% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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
Reaction time. 733ms 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 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 73 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 |
|---|---|---|---|---|---|
| C | 24 | 10–14 | 42% | -0.03 | |
| D | 14 | 4–10 | 29% | -0.03 | |
| C | 11 | 4–7 | 36% | -0.03 | |
| D | 9 | 3–6 | 33% | -0.04 | |
| A | 5 | 3–2 | 60% | -0.03 | |
| — | 4 | 2–2 | 50% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.05 | |
| — | 1 | 0–1 | 0% | -0.10 |
Across the last 73 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2847° — above the 12° mark we flag
- 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 732.6678ms — above the 700ms 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 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–3 | -0.10 | 14% | 29 Aug → | ||
| 9–13 | -0.05 | 13% | 29 Aug → | ||
| 13–11 | -0.05 | 24% | 29 Aug → | ||
| 13–11 | -0.03 | 25% | 29 Aug → | ||
| 11–13 | -0.06 | 11% | 15 Aug → | ||
| 13–7 | 0.04 | 20% | 15 Aug → | ||
| 2–13 | -0.02 | 21% | 15 Aug → | ||
| 3–13 | -0.02 | 15% | 15 Aug → | ||
| 13–9 | -0.08 | 40% | 15 Aug → | ||
| 13–5 | -0.07 | 22% | 15 Aug → | ||
| 13–6 | -0.02 | 14% | 2 Aug → | ||
| 13–3 | 0.08 | 21% | 24 Jul → | ||
| 13–0 | -0.02 | 17% | 24 Jul → | ||
| 6–13 | -0.03 | 27% | 24 Jul → | ||
| 8–13 | 0.03 | 10% | 24 Jul → | ||
| 9–13 | -0.04 | 8% | 24 Jul → | ||
| 10–13 | -0.04 | 19% | 24 Jul → | ||
| 13–10 | 0.02 | 22% | 9 Jul → | ||
| 5–13 | -0.06 | 9% | 9 Jul → | ||
| 10–13 | -0.02 | 13% | 9 Jul → | ||
| 1–13 | -0.04 | 19% | 9 Jul → | ||
| 16–12 | 0.04 | 23% | 2 Aug → | ||
| 9–13 | -0.00 | 19% | 2 Aug → | ||
| 7–13 | -0.05 | 18% | 21 Jul → | ||
| 13–3 | -0.01 | 25% | 21 Jul → | ||
| 2–13 | -0.12 | 15% | 21 Jul → | ||
| 5–13 | -0.03 | 45% | 21 Jul → | ||
| 13–4 | -0.01 | 9% | 17 Nov → | ||
| 12–12 | -0.04 | 13% | 17 Nov → | ||
| 13–3 | -0.00 | 18% | 13 Nov → | ||
| 7–13 | -0.13 | 11% | 13 Nov → | ||
| 9–13 | -0.07 | 17% | 13 Nov → | ||
| 11–13 | -0.03 | 15% | 13 Nov → | ||
| 13–8 | -0.09 | 14% | 10 Nov → | ||
| 6–13 | -0.08 | 19% | 10 Nov → | ||
| 6–13 | -0.01 | 12% | 8 Nov → | ||
| 2–13 | -0.05 | 10% | 8 Nov → | ||
| 7–13 | -0.04 | 21% | 8 Nov → | ||
| 13–4 | -0.09 | 14% | 8 Nov → | ||
| 13–4 | -0.10 | 9% | 8 Nov → | ||
| 10–13 | -0.05 | 12% | 22 Oct → | ||
| 6–13 | -0.10 | 10% | 22 Oct → | ||
| 12–12 | 0.03 | 22% | 22 Oct → | ||
| 6–13 | -0.09 | 25% | 18 May → | ||
| 7–13 | 0.03 | 20% | 10 May → | ||
| 3–13 | -0.01 | 28% | 10 May → | ||
| 3–13 | 0.01 | 16% | 19 Apr → | ||
| 7–13 | -0.03 | 14% | 19 Apr → | ||
| 13–4 | -0.01 | 20% | 19 Apr → | ||
| 12–12 | -0.07 | 14% | 13 Apr → | ||
| 11–13 | 0.01 | 18% | 5 Apr → | ||
| 7–13 | -0.07 | 13% | 15 Mar → | ||
| 3–13 | -0.06 | 8% | 15 Mar → | ||
| 13–6 | -0.07 | 8% | 7 Mar → | ||
| 9–13 | -0.05 | 17% | 7 Mar → | ||
| 1–13 | -0.05 | 17% | 7 Mar → | ||
| 13–7 | -0.11 | 11% | 2 Mar → | ||
| 13–7 | 0.01 | 16% | 23 Feb → | ||
| 13–3 | 0.00 | 11% | 17 Feb → | ||
| 1–13 | -0.06 | 4% | 17 Feb → | ||
| 7–12 | -0.02 | 26% | 7 Feb → | ||
| 10–5 | -0.01 | 27% | 7 Feb → | ||
| 12–12 | -0.02 | 15% | 6 Feb → | ||
| 13–5 | -0.03 | 21% | 6 Feb → | ||
| 13–9 | -0.05 | 15% | 22 Nov → | ||
| 1–13 | -0.04 | 12% | 22 Nov → | ||
| 11–13 | 0.02 | 11% | 16 Nov → | ||
| 8–13 | 0.02 | 17% | 16 Nov → | ||
| 13–2 | 0.04 | 15% | 16 Nov → | ||
| 0–8 | -0.07 | 13% | 16 Nov → | ||
| 6–13 | -0.04 | 26% | 10 Nov → | ||
| 7–13 | 0.00 | 14% | 10 Nov → | ||
| 13–4 | 0.04 | 12% | 10 Nov → |
Match data via Leetify.