Munchzorr — CS2 Stats
76561199083582929[U:1:1123317201]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 93% playstyle similarity
Most alike: positioning profile, 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
Strengths
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 562ms 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 5.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 39 | 22–17 | 56% | 0.02 | |
| S | 17 | 13–4 | 76% | 0.03 | |
| A | 16 | 10–6 | 63% | 0.03 | |
| S | 9 | 7–2 | 78% | 0.03 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 68 | 54% | 1.16 | 16.2 |
| Ancient | 33 | 61% | 1.08 | 14.8 |
| Mirage | 22 | 50% | 1.26 | 18.1 |
| Anubis | 21 | 57% | 1.15 | 14.9 |
| Overpass | 18 | 56% | 1.03 | 17.6 |
| Inferno | 10 | 60% | 1.04 | 16.9 |
| Cache | 4 | 75% | 1.07 | 12.5 |
| Train | 2 | 0% | 1.84 | 26.0 |
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 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 35.3501% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.08 | 9% | 21 Aug → | ||
| 13–1 | 0.18 | 23% | 19 Aug → | ||
| 5–13 | -0.06 | 20% | 19 Aug → | ||
| 13–6 | 0.05 | 24% | 14 Aug → | ||
| 8–13 | -0.02 | 20% | 12 Aug → | ||
| 12–16 | -0.01 | 23% | 9 Aug → | ||
| 9–13 | -0.05 | 16% | 7 Aug → | ||
| 11–13 | -0.02 | 21% | 29 Jul → | ||
| 13–2 | 0.17 | 29% | 24 Jul → | ||
| 13–7 | -0.01 | 29% | 24 Jul → | ||
| 13–7 | 0.05 | 35% | 24 Jul → | ||
| 16–13 | 0.04 | 15% | 18 Jul → | ||
| 13–10 | 0.08 | 14% | 8 Jun → | ||
| 13–4 | 0.04 | 19% | 7 Jun → | ||
| 13–11 | 0.10 | 22% | 6 Jun → | ||
| 13–4 | 0.05 | 22% | 27 May → | ||
| 10–13 | 0.04 | 23% | 25 May → | ||
| 15–15 | -0.00 | 14% | 25 May → | ||
| 14–16 | -0.05 | 17% | 24 May → | ||
| 11–13 | 0.01 | 20% | 19 May → | ||
| 5–13 | 0.01 | 22% | 18 May → | ||
| 11–13 | -0.04 | 10% | 8 May → | ||
| 5–13 | -0.02 | 30% | 6 May → | ||
| 13–8 | 0.15 | 30% | 30 Apr → | ||
| 13–11 | -0.02 | 14% | 29 Apr → | ||
| 13–5 | -0.01 | 19% | 24 Apr → | ||
| 13–10 | -0.03 | 22% | 23 Apr → | ||
| 13–16 | 0.01 | 19% | 22 Apr → | ||
| 13–9 | 0.02 | 25% | 17 Apr → | ||
| 6–13 | 0.01 | 41% | 15 Apr → | ||
| 13–5 | 0.00 | 18% | 14 Apr → | ||
| 12–2 | -0.04 | 13% | 6 Apr → | ||
| 13–9 | 0.06 | 28% | 5 Apr → | ||
| 15–15 | 0.05 | 29% | 4 Apr → | ||
| 13–7 | 0.03 | 32% | 3 Apr → | ||
| 3–13 | -0.08 | 17% | 3 Apr → | ||
| 13–8 | 0.00 | 15% | 28 Mar → | ||
| 13–6 | 0.00 | 22% | 25 Mar → | ||
| 13–5 | -0.01 | 25% | 23 Mar → | ||
| 11–13 | 0.01 | 18% | 23 Mar → | ||
| 13–8 | -0.01 | 18% | 23 Mar → | ||
| 3–13 | -0.01 | 21% | 23 Mar → | ||
| 13–5 | 0.14 | 21% | 19 Mar → | ||
| 13–1 | 0.06 | 30% | 19 Mar → | ||
| 13–9 | 0.04 | 29% | 18 Mar → | ||
| 13–5 | 0.15 | 34% | 18 Mar → | ||
| 13–8 | 0.05 | 22% | 17 Mar → | ||
| 13–2 | 0.13 | 37% | 17 Mar → | ||
| 13–6 | 0.08 | 32% | 17 Mar → | ||
| 2–13 | 0.03 | 17% | 13 Mar → | ||
| 7–6 | 0.11 | 22% | 13 Mar → | ||
| 4–13 | 0.06 | 17% | 13 Mar → | ||
| 4–7 | 0.05 | 25% | 13 Mar → | ||
| 2–13 | -0.00 | 12% | 12 Mar → | ||
| 13–8 | 0.09 | 19% | 12 Mar → | ||
| 13–0 | 0.06 | 21% | 10 Mar → | ||
| 13–9 | 0.11 | 16% | 10 Mar → | ||
| 13–7 | 0.14 | 27% | 10 Mar → | ||
| 13–3 | 0.15 | 11% | 6 Mar → | ||
| 13–9 | 0.00 | 29% | 28 Feb → | ||
| 13–8 | -0.03 | 20% | 28 Feb → | ||
| 13–8 | 0.04 | 30% | 28 Feb → | ||
| 0–13 | -0.02 | 22% | 27 Feb → | ||
| 6–9 | -0.14 | 15% | 27 Feb → | ||
| 13–5 | -0.02 | 20% | 26 Feb → | ||
| 13–8 | -0.04 | 36% | 26 Feb → | ||
| 13–16 | 0.00 | 25% | 24 Feb → | ||
| 11–13 | 0.00 | 24% | 24 Feb → | ||
| 13–3 | 0.06 | 25% | 23 Feb → | ||
| 13–2 | 0.08 | 22% | 23 Feb → | ||
| 10–13 | -0.04 | 18% | 18 Feb → | ||
| 13–5 | 0.02 | 20% | 16 Feb → | ||
| 13–4 | 0.01 | 31% | 13 Feb → | ||
| 13–8 | 0.01 | 15% | 13 Feb → | ||
| 6–13 | -0.06 | 18% | 13 Feb → | ||
| 13–7 | -0.01 | 14% | 11 Feb → | ||
| 13–6 | -0.03 | 30% | 9 Feb → | ||
| 13–8 | 0.07 | 27% | 7 Feb → | ||
| 13–8 | 0.02 | 17% | 7 Feb → | ||
| 13–11 | 0.08 | 15% | 7 Feb → | ||
| 13–5 | -0.02 | 27% | 6 Feb → | ||
| 13–8 | 0.03 | 29% | 5 Feb → | ||
| 13–16 | -0.02 | 33% | 3 Feb → | ||
| 13–3 | 0.13 | 26% | 3 Feb → | ||
| 13–8 | 0.10 | 14% | 3 Feb → | ||
| 13–11 | -0.07 | 20% | 3 Feb → | ||
| 13–7 | 0.08 | 22% | 3 Feb → | ||
| 6–13 | -0.03 | 26% | 1 Feb → | ||
| 7–13 | 0.05 | 11% | 1 Feb → | ||
| 13–4 | 0.03 | 17% | 31 Jan → | ||
| 13–3 | 0.02 | 18% | 30 Jan → | ||
| 13–3 | 0.18 | 21% | 28 Jan → | ||
| 13–2 | -0.00 | 21% | 28 Jan → | ||
| 13–8 | 0.05 | 18% | 27 Jan → | ||
| 12–12 | 0.05 | 32% | 25 Jan → | ||
| 10–13 | 0.03 | 12% | 24 Jan → | ||
| 5–13 | 0.03 | 10% | 24 Jan → | ||
| 13–5 | 0.09 | 23% | 24 Jan → | ||
| 13–1 | 0.12 | 34% | 24 Jan → | ||
| 9–13 | 0.04 | 25% | 24 Jan → |
Match data via Leetify.