ZaNwish — CS2 Stats
DK76561198001142506[U:1:40876778]Steam profile ↗✓ No bans
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: positioning profile, opening-fight frequency.
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
T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 584ms 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 4.8/10 (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 |
|---|---|---|---|---|---|
| C | 22 | 8–14 | 36% | -0.01 | |
| B | 19 | 9–10 | 47% | -0.01 | |
| A | 16 | 10–6 | 63% | 0.04 | |
| B | 14 | 7–7 | 50% | 0.00 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| S | 9 | 7–2 | 78% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 137 | 56% | 0.95 | 14.2 |
| Anubis | 117 | 46% | 0.96 | 14.1 |
| Ancient | 107 | 41% | 0.89 | 14.0 |
| Inferno | 76 | 50% | 1.03 | 14.6 |
| Overpass | 62 | 61% | 0.94 | 14.3 |
| Vertigo | 61 | 61% | 0.99 | 15.2 |
| Dust2 | 24 | 46% | 0.84 | 12.8 |
| Mirage | 17 | 29% | 0.82 | 12.4 |
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 12.0253° — 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 0.3924 — 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.
36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.01 | 17% | 7 Aug → | ||
| 16–12 | 0.01 | 23% | 5 Aug → | ||
| 6–13 | -0.03 | 15% | 29 Jul → | ||
| 19–16 | -0.01 | 27% | 26 Jul → | ||
| 9–13 | -0.03 | 26% | 24 Jul → | ||
| 13–10 | -0.01 | 11% | 24 Jul → | ||
| 13–10 | 0.00 | 19% | 15 Jul → | ||
| 16–13 | 0.00 | 16% | 15 Jul → | ||
| 9–13 | -0.02 | 13% | 15 Jul → | ||
| 13–4 | 0.09 | 27% | 15 Jul → | ||
| 8–13 | -0.04 | 17% | 15 Jul → | ||
| 13–10 | 0.01 | 8% | 15 Jul → | ||
| 10–13 | -0.05 | 26% | 13 Jul → | ||
| 8–13 | 0.05 | 26% | 9 Jul → | ||
| 13–11 | 0.04 | 13% | 9 Jul → | ||
| 10–13 | 0.04 | 17% | 9 Jul → | ||
| 13–3 | 0.01 | 10% | 9 Jul → | ||
| 13–3 | 0.15 | 17% | 9 Jul → | ||
| 9–13 | -0.04 | 11% | 9 Jul → | ||
| 10–13 | -0.02 | 22% | 8 Jul → | ||
| 13–7 | 0.01 | 15% | 5 Jul → | ||
| 13–11 | 0.03 | 11% | 27 Jun → | ||
| 10–13 | -0.01 | 27% | 27 Jun → | ||
| 13–11 | 0.06 | 26% | 27 Jun → | ||
| 9–13 | -0.00 | 20% | 27 Jun → | ||
| 5–13 | -0.05 | 16% | 27 Jun → | ||
| 6–13 | 0.03 | 20% | 17 Jun → | ||
| 13–10 | 0.06 | 16% | 17 Jun → | ||
| 13–8 | -0.02 | 21% | 17 Jun → | ||
| 11–13 | -0.04 | 25% | 15 Jun → | ||
| 6–13 | 0.02 | 21% | 15 Jun → | ||
| 13–5 | 0.09 | 31% | 15 Jun → | ||
| 11–13 | -0.07 | 6% | 15 Jun → | ||
| 11–13 | -0.09 | 8% | 5 Jun → | ||
| 11–13 | -0.04 | 13% | 5 Jun → | ||
| 3–13 | -0.09 | 54% | 5 Jun → | ||
| 13–10 | 0.03 | 25% | 5 Jun → | ||
| 8–13 | -0.05 | 14% | 5 Jun → | ||
| 6–13 | -0.05 | 14% | 5 Jun → | ||
| 13–11 | -0.00 | 13% | 5 Jun → | ||
| 13–5 | 0.15 | 24% | 5 Jun → | ||
| 13–11 | 0.00 | 21% | 5 Jun → | ||
| 9–13 | -0.02 | 24% | 3 Jun → | ||
| 12–16 | -0.03 | 16% | 28 May → | ||
| 13–11 | -0.00 | 9% | 28 May → | ||
| 13–5 | 0.02 | 20% | 27 May → | ||
| 16–14 | 0.05 | 21% | 20 May → | ||
| 9–13 | -0.08 | 18% | 20 May → | ||
| 12–16 | 0.01 | 27% | 15 May → | ||
| 11–13 | 0.04 | 43% | 15 May → | ||
| 16–14 | -0.04 | 17% | 12 May → | ||
| 13–10 | -0.04 | 24% | 12 May → | ||
| 10–13 | 0.01 | 16% | 11 May → | ||
| 11–13 | -0.03 | 13% | 9 May → | ||
| 8–13 | -0.07 | 12% | 9 May → | ||
| 14–16 | 0.01 | 15% | 8 May → | ||
| 13–11 | 0.08 | 19% | 8 May → | ||
| 11–13 | 0.03 | 19% | 8 May → | ||
| 13–7 | 0.04 | 20% | 8 May → | ||
| 10–13 | 0.04 | 27% | 8 May → | ||
| 13–6 | -0.07 | 11% | 1 May → | ||
| 10–13 | 0.02 | 23% | 30 Apr → | ||
| 13–3 | 0.07 | 27% | 30 Apr → | ||
| 9–13 | -0.07 | 20% | 30 Apr → | ||
| 13–11 | -0.00 | 15% | 28 Apr → | ||
| 11–13 | 0.02 | 21% | 28 Apr → | ||
| 13–8 | 0.06 | 29% | 26 Apr → | ||
| 9–13 | 0.04 | 16% | 26 Apr → | ||
| 4–13 | -0.06 | 4% | 26 Apr → | ||
| 4–13 | -0.05 | 24% | 26 Apr → | ||
| 13–11 | 0.06 | 17% | 26 Apr → | ||
| 16–14 | 0.03 | 22% | 26 Apr → | ||
| 6–13 | -0.07 | 29% | 23 Apr → | ||
| 11–13 | -0.02 | 17% | 23 Apr → | ||
| 25–23 | -0.01 | 17% | 18 Apr → | ||
| 8–13 | -0.03 | 17% | 18 Apr → | ||
| 13–6 | -0.04 | 22% | 17 Apr → | ||
| 7–13 | -0.01 | 22% | 17 Apr → | ||
| 13–5 | -0.04 | 28% | 17 Apr → | ||
| 13–8 | -0.05 | 21% | 17 Apr → | ||
| 13–10 | 0.01 | 27% | 12 Apr → | ||
| 13–8 | 0.12 | 32% | 11 Apr → | ||
| 15–15 | -0.01 | 13% | 11 Apr → | ||
| 13–10 | 0.02 | 22% | 10 Apr → | ||
| 5–13 | -0.02 | 24% | 10 Apr → | ||
| 13–8 | 0.05 | 14% | 9 Apr → | ||
| 13–9 | -0.04 | 24% | 9 Apr → | ||
| 13–9 | 0.04 | 13% | 8 Apr → | ||
| 11–13 | 0.01 | 21% | 3 Apr → | ||
| 10–13 | 0.00 | 20% | 3 Apr → | ||
| 13–11 | -0.00 | 26% | 28 Mar → | ||
| 13–9 | 0.03 | 22% | 27 Mar → | ||
| 16–14 | 0.01 | 23% | 27 Mar → | ||
| 13–10 | -0.03 | 10% | 26 Mar → | ||
| 13–8 | 0.08 | 26% | 21 Mar → | ||
| 16–14 | -0.04 | 18% | 19 Mar → | ||
| 10–13 | -0.04 | 19% | 19 Mar → | ||
| 4–13 | -0.08 | 29% | 19 Mar → | ||
| 12–12 | 0.12 | 13% | 12 Mar → | ||
| 13–9 | -0.01 | 13% | 5 Mar → |
Match data via Leetify.