★彡ᴢᴀᴍʙᴏᴢʟᴀ彡★ — CS2 Stats
76561199095583319[U:1:1135317591]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.05 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 87% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: 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 50% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 634ms 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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 23 | 9–14 | 39% | -0.01 | |
| C | 19 | 8–11 | 42% | -0.01 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| C | 12 | 5–7 | 42% | 0.01 | |
| S | 9 | 8–1 | 89% | 0.03 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| office | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 264 | 49% | 0.97 | 15.3 |
| Inferno | 158 | 54% | 1.00 | 15.5 |
| Nuke | 115 | 58% | 1.08 | 16.5 |
| Ancient | 93 | 56% | 1.10 | 16.9 |
| Dust2 | 85 | 38% | 0.98 | 15.5 |
| Overpass | 42 | 57% | 1.03 | 16.0 |
| Train | 36 | 53% | 1.02 | 15.9 |
| Anubis | 17 | 47% | 0.96 | 13.9 |
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 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 13.7462% — 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 0.4964 — 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 30.9153% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–9 | -0.17 | 19% | 19 Aug → | ||
| 13–5 | -0.01 | 15% | 6 May → | ||
| 10–13 | -0.03 | 21% | 4 May → | ||
| 13–9 | 0.01 | 13% | 2 May → | ||
| 8–13 | -0.07 | 13% | 30 Apr → | ||
| 13–3 | 0.05 | 24% | 23 Apr → | ||
| 5–9 | 0.13 | 18% | 21 Apr → | ||
| 12–16 | -0.00 | 16% | 19 Apr → | ||
| 13–6 | 0.04 | 11% | 13 Apr → | ||
| 9–7 | -0.02 | 23% | 4 Apr → | ||
| 8–13 | 0.04 | 9% | 1 Apr → | ||
| 9–0 | 0.27 | 17% | 1 Apr → | ||
| 9–13 | 0.02 | 18% | 26 Mar → | ||
| 13–3 | -0.00 | 7% | 25 Mar → | ||
| 13–8 | -0.03 | 13% | 25 Mar → | ||
| 13–5 | 0.07 | 23% | 24 Mar → | ||
| 16–13 | 0.02 | 10% | 9 Mar → | ||
| 13–4 | 0.07 | 16% | 9 Mar → | ||
| 13–11 | 0.02 | 25% | 2 Mar → | ||
| 13–11 | -0.05 | 8% | 23 Feb → | ||
| 13–2 | 0.05 | 13% | 19 Feb → | ||
| 8–13 | 0.03 | 20% | 18 Feb → | ||
| 4–13 | -0.02 | 13% | 6 Feb → | ||
| 13–5 | 0.07 | 16% | 6 Feb → | ||
| 11–13 | 0.00 | 13% | 26 Jan → | ||
| 6–13 | -0.00 | 22% | 8 Jan → | ||
| 9–13 | -0.04 | 5% | 7 Jan → | ||
| 13–5 | 0.06 | 9% | 5 Jan → | ||
| 6–13 | -0.05 | 16% | 5 Jan → | ||
| 13–6 | 0.09 | 14% | 4 Jan → | ||
| 11–13 | 0.03 | 14% | 2 Jan → | ||
| 13–5 | 0.10 | 5% | 2 Jan → | ||
| 7–13 | -0.03 | 8% | 30 Dec → | ||
| 11–13 | 0.03 | 5% | 30 Dec → | ||
| 10–13 | -0.01 | 12% | 22 Dec → | ||
| 9–13 | 0.03 | 13% | 21 Dec → | ||
| 8–13 | -0.01 | 10% | 18 Dec → | ||
| 13–7 | 0.06 | 13% | 18 Dec → | ||
| 7–13 | -0.04 | 15% | 3 Dec → | ||
| 13–9 | 0.03 | 16% | 3 Dec → | ||
| 13–9 | 0.09 | 18% | 3 Dec → | ||
| 13–0 | 0.07 | 10% | 3 Dec → | ||
| 16–14 | 0.03 | 7% | 25 Nov → | ||
| 13–3 | 0.07 | 7% | 22 Nov → | ||
| 16–14 | 0.00 | 10% | 19 Nov → | ||
| 14–16 | -0.01 | 16% | 17 Nov → | ||
| 8–13 | 0.07 | 12% | 15 Nov → | ||
| 8–13 | -0.03 | 12% | 12 Nov → | ||
| 5–13 | -0.04 | 21% | 8 Nov → | ||
| 13–8 | -0.04 | 8% | 16 Oct → | ||
| 13–7 | -0.06 | 10% | 14 Oct → | ||
| 13–9 | 0.02 | 17% | 6 Oct → | ||
| 14–16 | -0.02 | 22% | 21 Sept → | ||
| 10–13 | -0.07 | 28% | 6 Sept → | ||
| 16–12 | -0.05 | 16% | 2 Sept → | ||
| 13–4 | 0.00 | 7% | 25 Aug → | ||
| 13–5 | 0.01 | 13% | 20 Aug → | ||
| 7–13 | -0.03 | 10% | 4 Aug → | ||
| 13–7 | 0.01 | 24% | 31 Jul → | ||
| 5–13 | -0.08 | 15% | 22 Jul → | ||
| 15–19 | 0.00 | 7% | 16 Jun → | ||
| 13–10 | 0.01 | 14% | 12 Jun → | ||
| 11–13 | -0.01 | 13% | 1 Jun → | ||
| 13–9 | -0.02 | 21% | 22 May → | ||
| 13–16 | -0.02 | 17% | 21 May → | ||
| 13–8 | -0.04 | 11% | 8 May → | ||
| 10–13 | 0.04 | 16% | 1 May → | ||
| 13–10 | -0.02 | 17% | 21 Apr → | ||
| 13–11 | -0.04 | 16% | 6 Mar → | ||
| 7–13 | -0.08 | 8% | 5 Mar → | ||
| 7–13 | -0.04 | 9% | 19 Feb → | ||
| 9–13 | 0.01 | 20% | 14 Feb → | ||
| 12–2 | -0.03 | 16% | 25 Jan → | ||
| 13–11 | -0.04 | 7% | 3 Jan → | ||
| 13–7 | -0.02 | 15% | 23 Dec → | ||
| office | 2–13 | 0.01 | 10% | 21 Dec → | |
| 4–1 | 0.03 | 0% | 21 Dec → | ||
| 11–13 | 0.02 | 14% | 21 Dec → | ||
| 4–10 | -0.02 | 18% | 14 Dec → | ||
| 3–13 | -0.06 | 12% | 16 Nov → | ||
| 5–13 | -0.08 | 15% | 16 Nov → | ||
| 9–13 | 0.02 | 19% | 11 Nov → | ||
| 2–13 | -0.03 | 9% | 29 Oct → | ||
| 5–13 | -0.13 | 7% | 24 Oct → | ||
| 11–13 | -0.04 | 39% | 24 Oct → | ||
| 2–13 | -0.10 | 17% | 21 Oct → | ||
| 0–13 | -0.10 | 8% | 21 Sept → | ||
| 13–11 | -0.01 | 15% | 21 Sept → | ||
| 13–0 | 0.36 | 18% | 19 Sept → | ||
| 12–12 | -0.02 | 15% | 17 Sept → | ||
| 9–0 | 0.05 | 25% | 5 Sept → | ||
| 12–12 | -0.02 | 11% | 22 Aug → | ||
| 9–13 | 0.07 | 14% | 16 Aug → | ||
| 13–11 | -0.00 | 15% | 12 Aug → | ||
| 13–6 | 0.04 | 5% | 12 Aug → | ||
| 6–13 | 0.01 | 7% | 5 Aug → | ||
| 13–9 | -0.06 | 24% | 4 Aug → | ||
| 13–7 | 0.00 | 7% | 4 Aug → | ||
| 9–13 | -0.02 | 8% | 29 Jul → | ||
| 13–3 | 0.05 | 16% | 21 Jul → |
Match data via Leetify.