✩nyan✩ — CS2 Stats
76561198846983965[U:1:886718237]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp 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 78% playstyle similarity
Most alike: opening-fight frequency, 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. 652ms 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 | D | 24 | 7–17 | 29% | -0.01 |
 cache | C | 16 | 6–10 | 38% | -0.01 |
| office | D | 15 | 4–11 | 27% | -0.00 |
 train | C | 9 | 4–5 | 44% | -0.01 |
 vertigo | C | 8 | 3–5 | 38% | -0.00 |
 inferno | D | 6 | 1–5 | 17% | -0.02 |
 ancient | D | 6 | 2–4 | 33% | -0.05 |
 dust2 | C | 5 | 2–3 | 40% | -0.02 |
 mirage | — | 4 | 3–1 | 75% | 0.03 |
 overpass | — | 2 | 1–1 | 50% | 0.01 |
| palais | — | 2 | 0–2 | 0% | -0.16 |
| thera | — | 2 | 2–0 | 100% | 0.03 |
 anubis | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
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 14.1749° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.5459% — below the 15% 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 0.4301 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 5–13 | -0.01 | 10% | 27 Jul → | |
| dust2 | 8–13 | -0.02 | 19% | 6 Jul → | |
| nuke | 10–13 | 0.02 | 13% | 5 Jul → | |
| inferno | 13–4 | 0.01 | 19% | 28 Jun → | |
| cache | 1–13 | -0.14 | 11% | 28 Jun → | |
| train | 11–13 | -0.03 | 16% | 27 Jun → | |
| vertigo | 4–13 | 0.10 | 7% | 25 Jun → | |
| cache | 1–13 | -0.09 | 6% | 25 Jun → | |
| office | 8–13 | -0.02 | 10% | 22 Jun → | |
| anubis | 13–11 | -0.02 | 16% | 21 Jun → | |
| vertigo | 13–10 | -0.02 | 7% | 21 Jun → | |
| dust2 | 13–7 | 0.03 | 11% | 20 Jun → | |
| cache | 13–9 | 0.02 | 17% | 20 Jun → | |
| train | 13–6 | -0.03 | 13% | 20 Jun → | |
| inferno | 7–13 | -0.08 | 12% | 19 Jun → | |
| ancient | 13–11 | -0.07 | 6% | 19 Jun → | |
| cache | 13–5 | 0.03 | 11% | 19 Jun → | |
| mirage | 13–3 | 0.11 | 14% | 19 Jun → | |
| nuke | 13–10 | -0.06 | 4% | 14 Jun → | |
| nuke | 10–13 | 0.00 | 13% | 14 Jun → | |
| nuke | 7–13 | -0.03 | 17% | 13 Jun → | |
| nuke | 9–13 | -0.03 | 10% | 13 Jun → | |
| cache | 11–13 | -0.01 | 14% | 12 Jun → | |
| vertigo | 13–4 | 0.04 | 13% | 11 Jun → | |
| dust2 | 13–10 | -0.05 | 14% | 11 Jun → | |
| nuke | 13–7 | 0.05 | 19% | 10 Jun → | |
| dust2 | 11–13 | 0.00 | 12% | 10 Jun → | |
| nuke | 4–13 | -0.04 | 22% | 7 Jun → | |
| cache | 7–13 | 0.05 | 10% | 6 Jun → | |
| cache | 12–12 | 0.05 | 10% | 2 Jun → | |
| cache | 13–11 | -0.04 | 12% | 31 May → | |
| cache | 13–7 | 0.02 | 15% | 31 May → | |
| nuke | 8–13 | 0.05 | 10% | 31 May → | |
| mirage | 13–3 | -0.02 | 16% | 31 May → | |
| train | 13–9 | 0.02 | 10% | 31 May → | |
| mirage | 13–5 | 0.01 | 18% | 30 May → | |
| cache | 13–6 | 0.07 | 14% | 25 May → | |
| cache | 13–9 | 0.02 | 14% | 25 May → | |
| overpass | 1–13 | -0.04 | 3% | 24 May → | |
| ancient | 13–8 | -0.01 | 9% | 24 May → | |
| nuke | 13–9 | 0.04 | 24% | 24 May → | |
| train | 4–13 | 0.01 | 13% | 24 May → | |
| office | 7–11 | -0.02 | 31% | 22 May → | |
| ancient | 6–13 | -0.04 | 12% | 21 May → | |
| office | 13–9 | 0.02 | 11% | 18 May → | |
| cache | 7–13 | 0.00 | 12% | 18 May → | |
| inferno | 1–8 | -0.06 | 29% | 17 May → | |
| cache | 9–13 | -0.02 | 9% | 17 May → | |
| nuke | 5–13 | -0.01 | 26% | 17 May → | |
| ancient | 3–13 | -0.07 | 19% | 16 May → | |
| nuke | 9–13 | -0.03 | 24% | 16 May → | |
| inferno | 2–13 | -0.05 | 17% | 16 May → | |
| office | 6–13 | -0.04 | 9% | 15 May → | |
| train | 8–13 | 0.02 | 15% | 15 May → | |
| office | 3–13 | -0.05 | 5% | 13 May → | |
| nuke | 7–13 | -0.01 | 16% | 13 May → | |
| nuke | 13–7 | 0.06 | 18% | 7 May → | |
| vertigo | 12–12 | -0.00 | 24% | 3 May → | |
| office | 12–12 | 0.08 | 14% | 3 May → | |
| nuke | 0–4 | -0.06 | 0% | 2 May → | |
| cache | 4–13 | -0.06 | 9% | 2 May → | |
| cache | 8–13 | 0.01 | 19% | 2 May → | |
| cache | 5–13 | -0.02 | 9% | 2 May → | |
| office | 8–1 | 0.04 | 20% | 25 Jun → | |
| vertigo | 11–13 | -0.03 | 9% | 22 May → | |
| train | 13–10 | -0.04 | 8% | 21 May → | |
| ancient | 0–6 | -0.03 | 13% | 9 May → | |
| nuke | 11–13 | 0.06 | 12% | 20 Mar → | |
| vertigo | 8–13 | -0.07 | 5% | 20 Mar → | |
| office | 12–12 | -0.01 | 12% | 5 Mar → | |
| office | 11–13 | -0.03 | 5% | 27 Feb → | |
| train | 12–12 | -0.03 | 9% | 27 Feb → | |
| nuke | 9–13 | -0.00 | 9% | 11 Feb → | |
| vertigo | 3–13 | 0.01 | 10% | 10 Feb → | |
| office | 3–13 | -0.05 | 4% | 10 Feb → | |
| office | 13–7 | -0.01 | 19% | 5 Feb → | |
| palais | 7–9 | -0.03 | 15% | 13 Dec → | |
| train | 13–6 | -0.02 | 17% | 20 Nov → | |
| office | 3–13 | -0.01 | 24% | 20 Nov → | |
| palais | 0–9 | -0.30 | 15% | 19 Nov → | |
| train | 12–12 | -0.02 | 15% | 19 Nov → | |
| nuke | 4–13 | -0.07 | 15% | 2 Oct → | |
| inferno | 8–13 | -0.01 | 15% | 2 Oct → | |
| nuke | 13–7 | 0.09 | 9% | 25 Sept → | |
| overpass | 13–10 | 0.06 | 19% | 17 Sept → | |
| dust2 | 12–12 | -0.06 | 18% | 21 Aug → | |
| nuke | 1–7 | -0.13 | 0% | 18 Aug → | |
| inferno | 12–12 | 0.06 | 14% | 18 Aug → | |
| office | 13–3 | 0.04 | 32% | 8 Aug → | |
| office | 10–13 | -0.02 | 27% | 31 Jul → | |
| nuke | 13–10 | -0.01 | 10% | 23 Jul → | |
| ancient | 4–13 | -0.06 | 27% | 23 Jul → | |
| nuke | 13–7 | -0.04 | 13% | 16 Jul → | |
| mirage | 5–13 | 0.03 | 19% | 16 Jul → | |
| thera | 13–5 | 0.07 | 15% | 15 Jul → | |
| nuke | 12–12 | 0.01 | 22% | 11 Jul → | |
| vertigo | 13–9 | -0.04 | 12% | 9 Jul → | |
| nuke | 8–13 | -0.09 | 25% | 9 Jul → | |
| thera | 13–1 | -0.02 | 16% | 8 Jul → | |
| nuke | 10–13 | -0.03 | 11% | 5 Jul → |
Match data via Leetify.