♿ — CS2 Stats
76561199131124350[U:1:1170858622]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp 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 81% 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
Reaction time. 651ms 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 4.2/10 (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 |
|---|---|---|---|---|---|
 nuke | C | 96 | 42–54 | 44% | -0.01 |
 cache | — | 2 | 1–1 | 50% | -0.06 |
| office | — | 1 | 0–1 | 0% | -0.05 |
 inferno | — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
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.
- 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 12.9484° — above the 12° 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 0.4398 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 8–13 | -0.04 | 17% | 22 Aug → | |
| nuke | 13–10 | -0.02 | 23% | 12 Aug → | |
| nuke | 9–13 | -0.02 | 22% | 15 Jul → | |
| nuke | 5–13 | -0.01 | 17% | 15 Jul → | |
| nuke | 3–10 | 0.07 | 22% | 15 Jul → | |
| nuke | 8–13 | -0.01 | 16% | 13 Jul → | |
| nuke | 12–12 | 0.04 | 24% | 11 Jul → | |
| nuke | 2–8 | -0.01 | 14% | 9 Jul → | |
| nuke | 8–13 | -0.07 | 28% | 8 Jul → | |
| nuke | 7–13 | -0.03 | 19% | 6 Jul → | |
| nuke | 5–13 | -0.08 | 10% | 4 Jul → | |
| nuke | 13–5 | -0.03 | 19% | 4 Jul → | |
| nuke | 1–13 | -0.04 | 22% | 4 Jul → | |
| nuke | 12–12 | -0.06 | 10% | 3 Jul → | |
| nuke | 11–13 | 0.04 | 27% | 1 Jul → | |
| nuke | 13–7 | 0.07 | 24% | 30 Jun → | |
| nuke | 11–13 | 0.01 | 12% | 30 Jun → | |
| nuke | 13–6 | 0.07 | 16% | 30 Jun → | |
| nuke | 13–7 | -0.01 | 15% | 29 Jun → | |
| nuke | 11–13 | 0.05 | 17% | 29 Jun → | |
| nuke | 8–13 | -0.07 | 15% | 24 Jun → | |
| nuke | 13–9 | 0.07 | 12% | 24 Jun → | |
| nuke | 11–13 | -0.01 | 11% | 24 Jun → | |
| nuke | 6–13 | -0.04 | 13% | 24 Jun → | |
| nuke | 13–7 | 0.03 | 43% | 24 Jun → | |
| nuke | 9–13 | 0.01 | 28% | 19 Jun → | |
| nuke | 8–13 | 0.08 | 22% | 19 Jun → | |
| nuke | 13–7 | -0.01 | 17% | 13 Jun → | |
| nuke | 13–3 | 0.12 | 21% | 13 Jun → | |
| nuke | 13–6 | 0.04 | 12% | 12 Jun → | |
| nuke | 13–10 | 0.08 | 24% | 11 Jun → | |
| nuke | 11–13 | -0.05 | 17% | 11 Jun → | |
| nuke | 6–6 | -0.04 | 40% | 9 Jun → | |
| nuke | 4–13 | -0.05 | 15% | 9 Jun → | |
| nuke | 9–13 | 0.01 | 9% | 8 Jun → | |
| nuke | 12–12 | -0.01 | 19% | 4 Jun → | |
| nuke | 13–7 | 0.05 | 22% | 4 Jun → | |
| nuke | 13–4 | 0.05 | 21% | 4 Jun → | |
| nuke | 13–4 | 0.07 | 18% | 4 Jun → | |
| nuke | 13–7 | 0.03 | 15% | 28 May → | |
| nuke | 12–12 | -0.02 | 16% | 28 May → | |
| nuke | 9–13 | -0.05 | 37% | 27 May → | |
| nuke | 7–13 | -0.06 | 12% | 26 May → | |
| nuke | 13–10 | -0.02 | 22% | 26 May → | |
| nuke | 11–13 | 0.01 | 27% | 26 May → | |
| nuke | 10–13 | -0.06 | 14% | 26 May → | |
| nuke | 13–11 | -0.09 | 16% | 25 May → | |
| nuke | 10–13 | 0.02 | 21% | 24 May → | |
| nuke | 13–11 | 0.01 | 16% | 23 May → | |
| nuke | 13–10 | 0.01 | 26% | 22 May → | |
| nuke | 13–5 | -0.03 | 11% | 21 May → | |
| nuke | 5–5 | 0.01 | 20% | 21 May → | |
| nuke | 6–13 | -0.03 | 21% | 21 May → | |
| nuke | 13–11 | 0.01 | 18% | 21 May → | |
| nuke | 13–11 | -0.01 | 24% | 21 May → | |
| cache | 13–9 | -0.10 | 8% | 20 May → | |
| office | 4–13 | -0.05 | 9% | 20 May → | |
| nuke | 4–13 | -0.02 | 18% | 20 May → | |
| nuke | 13–8 | 0.05 | 21% | 20 May → | |
| nuke | 13–7 | -0.01 | 37% | 18 May → | |
| nuke | 8–13 | 0.00 | 26% | 18 May → | |
| nuke | 11–13 | 0.01 | 13% | 17 May → | |
| nuke | 11–13 | -0.02 | 16% | 17 May → | |
| nuke | 13–11 | -0.01 | 21% | 16 May → | |
| nuke | 7–13 | -0.03 | 11% | 16 May → | |
| nuke | 13–7 | -0.01 | 24% | 15 May → | |
| nuke | 12–12 | -0.05 | 17% | 15 May → | |
| nuke | 12–12 | -0.05 | 11% | 15 May → | |
| nuke | 3–13 | -0.03 | 32% | 14 May → | |
| nuke | 13–9 | -0.05 | 19% | 13 May → | |
| nuke | 13–9 | 0.01 | 29% | 13 May → | |
| nuke | 13–11 | 0.00 | 19% | 13 May → | |
| nuke | 9–13 | -0.07 | 20% | 13 May → | |
| nuke | 0–7 | -0.05 | 23% | 13 May → | |
| nuke | 13–5 | -0.02 | 32% | 7 May → | |
| nuke | 0–5 | -0.10 | 0% | 2 May → | |
| nuke | 11–13 | -0.00 | 18% | 29 Apr → | |
| cache | 3–13 | -0.03 | 31% | 29 Apr → | |
| nuke | 7–13 | 0.03 | 15% | 28 Apr → | |
| nuke | 10–13 | 0.11 | 22% | 27 Apr → | |
| nuke | 13–9 | -0.01 | 11% | 27 Apr → | |
| nuke | 8–13 | -0.06 | 20% | 26 Apr → | |
| nuke | 13–5 | 0.02 | 19% | 25 Apr → | |
| nuke | 8–13 | -0.09 | 22% | 24 Apr → | |
| nuke | 13–4 | 0.02 | 45% | 24 Apr → | |
| nuke | 12–12 | 0.07 | 24% | 22 Jan → | |
| nuke | 7–13 | -0.07 | 12% | 18 Dec → | |
| nuke | 12–12 | 0.01 | 12% | 15 Dec → | |
| inferno | 7–9 | 0.07 | 22% | 15 Dec → | |
| nuke | 5–13 | -0.04 | 16% | 15 Dec → | |
| nuke | 6–13 | 0.00 | 21% | 12 Dec → | |
| nuke | 13–3 | -0.02 | 28% | 12 Dec → | |
| nuke | 13–6 | 0.02 | 33% | 11 Dec → | |
| nuke | 13–6 | 0.00 | 21% | 6 Dec → | |
| nuke | 13–8 | -0.02 | 16% | 5 Dec → | |
| nuke | 11–13 | -0.02 | 16% | 26 Nov → | |
| nuke | 2–13 | -0.06 | 7% | 26 Nov → | |
| nuke | 13–4 | 0.01 | 23% | 26 Nov → | |
| nuke | 13–3 | 0.02 | 21% | 25 Nov → | |
| nuke | 13–6 | 0.05 | 10% | 15 Nov → |
Match data via Leetify.