ZimZe — CS2 Stats
76561198158370207[U:1:198104479]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 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 84% 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
T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 620ms 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 4.6/10 (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 |
|---|---|---|---|---|---|
| B | 24 | 13–11 | 54% | -0.02 | |
| B | 18 | 9–9 | 50% | -0.01 | |
| A | 14 | 8–6 | 57% | -0.02 | |
| D | 13 | 4–9 | 31% | -0.01 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| — | 2 | 0–2 | 0% | -0.06 | |
| debris | — | 1 | 0–1 | 0% | -0.03 |
| — | 1 | 0–1 | 0% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.07 | |
| dogtown | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 310 | 47% | 0.94 | 14.7 |
| Ancient | 309 | 50% | 0.91 | 14.5 |
| Inferno | 192 | 47% | 0.91 | 14.2 |
| Anubis | 182 | 50% | 0.96 | 15.3 |
| Nuke | 176 | 52% | 0.92 | 14.3 |
| Dust2 | 91 | 43% | 0.89 | 13.3 |
| Overpass | 81 | 56% | 0.89 | 15.2 |
| Vertigo | 73 | 45% | 0.90 | 14.8 |
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.
- 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 0.4309 — 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 25.3794% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.01 | 34% | 21 Aug → | ||
| 6–13 | -0.07 | 9% | 16 Aug → | ||
| 6–13 | -0.02 | 18% | 14 Aug → | ||
| 13–8 | 0.05 | 18% | 5 Aug → | ||
| 6–13 | -0.08 | 10% | 5 Aug → | ||
| 13–7 | 0.03 | 29% | 24 Jul → | ||
| 16–13 | -0.04 | 17% | 24 Jul → | ||
| 9–13 | -0.00 | 22% | 22 Jul → | ||
| debris | 8–8 | -0.03 | 22% | 22 Jul → | |
| 17–19 | -0.01 | 10% | 11 Jul → | ||
| 13–7 | -0.02 | 19% | 11 Jul → | ||
| 10–13 | -0.01 | 9% | 11 Jul → | ||
| 11–13 | -0.03 | 16% | 11 Jul → | ||
| 13–7 | 0.06 | 21% | 5 Jul → | ||
| 13–5 | 0.02 | 17% | 4 Jul → | ||
| 2–13 | -0.07 | 3% | 1 Jul → | ||
| 13–11 | 0.09 | 24% | 1 Jul → | ||
| 9–13 | -0.09 | 9% | 30 Jun → | ||
| 13–10 | -0.02 | 13% | 26 Jun → | ||
| 13–5 | 0.07 | 19% | 26 Jun → | ||
| 8–13 | -0.02 | 15% | 19 Jun → | ||
| 2–13 | -0.05 | 6% | 19 Jun → | ||
| 13–7 | 0.01 | 8% | 18 Jun → | ||
| 14–16 | -0.02 | 19% | 14 Jun → | ||
| 13–6 | 0.05 | 20% | 9 Jun → | ||
| 7–13 | -0.06 | 15% | 31 May → | ||
| 16–13 | -0.01 | 20% | 31 May → | ||
| 6–13 | -0.02 | 23% | 30 May → | ||
| 13–9 | 0.01 | 13% | 29 May → | ||
| 10–13 | -0.00 | 17% | 22 May → | ||
| 13–11 | 0.01 | 14% | 16 May → | ||
| 13–8 | 0.01 | 17% | 13 May → | ||
| 15–19 | 0.05 | 21% | 1 May → | ||
| 11–13 | -0.01 | 16% | 1 May → | ||
| 9–13 | -0.01 | 34% | 18 Apr → | ||
| 13–9 | -0.01 | 21% | 17 Apr → | ||
| 13–11 | -0.03 | 14% | 17 Apr → | ||
| 3–13 | -0.12 | 57% | 17 Apr → | ||
| 8–13 | -0.08 | 35% | 16 Apr → | ||
| 7–13 | -0.04 | 18% | 7 Apr → | ||
| 6–13 | -0.07 | 19% | 4 Apr → | ||
| 16–14 | -0.02 | 23% | 20 Mar → | ||
| 8–13 | -0.03 | 21% | 20 Mar → | ||
| 3–13 | -0.06 | 13% | 20 Mar → | ||
| 16–12 | 0.08 | 24% | 13 Mar → | ||
| 13–8 | -0.04 | 17% | 8 Mar → | ||
| 13–2 | -0.02 | 25% | 8 Mar → | ||
| 8–2 | -0.04 | 0% | 8 Mar → | ||
| 13–9 | -0.04 | 19% | 6 Mar → | ||
| 10–13 | -0.03 | 20% | 6 Mar → | ||
| 7–13 | -0.05 | 24% | 27 Feb → | ||
| 13–9 | 0.01 | 21% | 19 Feb → | ||
| 10–13 | -0.02 | 12% | 6 Feb → | ||
| 8–13 | 0.02 | 17% | 31 Jan → | ||
| 13–8 | 0.00 | 25% | 30 Jan → | ||
| 7–13 | -0.04 | 15% | 18 Jan → | ||
| 8–13 | -0.01 | 22% | 18 Jan → | ||
| 10–13 | 0.00 | 20% | 17 Jan → | ||
| 13–6 | -0.03 | 18% | 10 Jan → | ||
| 13–9 | 0.07 | 22% | 8 Jan → | ||
| 13–5 | -0.08 | 12% | 28 Dec → | ||
| 3–13 | -0.05 | 40% | 27 Dec → | ||
| 3–13 | -0.06 | 19% | 27 Dec → | ||
| 13–7 | 0.01 | 26% | 24 Dec → | ||
| 11–13 | -0.10 | 12% | 15 Dec → | ||
| 6–13 | -0.06 | 18% | 13 Dec → | ||
| 13–9 | 0.03 | 13% | 2 Nov → | ||
| 13–6 | 0.01 | 38% | 31 Oct → | ||
| 9–13 | -0.07 | 35% | 25 Oct → | ||
| 6–13 | -0.02 | 13% | 25 Oct → | ||
| 11–13 | -0.02 | 20% | 25 Sept → | ||
| 8–13 | -0.07 | 16% | 30 Aug → | ||
| 13–2 | -0.02 | 28% | 30 Aug → | ||
| 13–4 | 0.07 | 23% | 26 Aug → | ||
| 13–11 | -0.02 | 18% | 25 Aug → | ||
| 9–13 | -0.04 | 13% | 20 Aug → | ||
| 3–13 | -0.04 | 24% | 11 Aug → | ||
| 10–13 | -0.02 | 9% | 6 Aug → | ||
| 11–13 | 0.01 | 17% | 1 Aug → | ||
| 13–10 | -0.06 | 31% | 28 Jul → | ||
| 13–7 | 0.03 | 16% | 25 Jul → | ||
| 13–9 | -0.05 | 19% | 9 Jul → | ||
| 11–13 | -0.01 | 22% | 7 Jul → | ||
| 6–13 | 0.00 | 21% | 27 Jun → | ||
| 9–13 | -0.02 | 17% | 27 Jun → | ||
| dogtown | 6–9 | -0.07 | 19% | 23 Jun → | |
| 13–10 | -0.05 | 27% | 14 Jun → | ||
| 13–6 | 0.01 | 16% | 14 Jun → | ||
| 13–11 | -0.03 | 11% | 14 Jun → | ||
| 11–0 | 0.01 | 21% | 14 Jun → | ||
| 11–13 | -0.04 | 26% | 13 Jun → | ||
| 13–5 | 0.08 | 14% | 13 Jun → | ||
| 2–13 | -0.06 | 17% | 8 Jun → | ||
| 13–8 | 0.02 | 22% | 8 Jun → | ||
| 16–13 | 0.01 | 19% | 7 Jun → | ||
| 10–13 | -0.05 | 15% | 5 Jun → | ||
| 13–6 | -0.03 | 3% | 5 Jun → | ||
| 11–13 | 0.00 | 24% | 31 May → | ||
| 13–11 | 0.02 | 28% | 31 May → | ||
| 10–13 | 0.01 | 7% | 30 May → |
Match data via Leetify.