Big Zonk — CS2 Stats
76561199102055043[U:1:1141789315]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp 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 77% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 653ms 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 4.4/10 (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 |
|---|---|---|---|---|---|
| D | 19 | 6–13 | 32% | -0.04 | |
| C | 19 | 8–11 | 42% | -0.02 | |
| C | 18 | 8–10 | 44% | -0.05 | |
| D | 17 | 4–13 | 24% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.04 | |
| D | 7 | 1–6 | 14% | -0.05 | |
| S | 6 | 4–2 | 67% | -0.03 | |
| D | 6 | 0–6 | 0% | -0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Ancient 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.
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 0.2901 — 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 31.5108% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.07 | 17% | 27 Aug → | ||
| 13–11 | -0.00 | 17% | 22 Aug → | ||
| 11–13 | -0.06 | 21% | 21 Aug → | ||
| 13–8 | 0.01 | 38% | 21 Aug → | ||
| 8–13 | -0.07 | 11% | 21 Aug → | ||
| 13–4 | -0.02 | 37% | 16 Aug → | ||
| 13–5 | 0.01 | 5% | 16 Aug → | ||
| 13–8 | -0.02 | 23% | 15 Aug → | ||
| 11–13 | -0.05 | 17% | 14 Aug → | ||
| 13–9 | -0.06 | 19% | 29 Jul → | ||
| 7–13 | -0.02 | 10% | 28 Jul → | ||
| 1–13 | -0.12 | 18% | 28 Jul → | ||
| 8–13 | -0.11 | 20% | 27 Jul → | ||
| 8–13 | -0.05 | 10% | 26 Jul → | ||
| 13–5 | 0.01 | 27% | 26 Jul → | ||
| 13–0 | -0.05 | 11% | 26 Jul → | ||
| 6–13 | -0.04 | 29% | 26 Jul → | ||
| 12–12 | -0.03 | 18% | 24 Jul → | ||
| 1–12 | -0.04 | 20% | 24 Jul → | ||
| 11–13 | -0.00 | 29% | 24 Jul → | ||
| 3–13 | -0.07 | 19% | 24 Jul → | ||
| 13–6 | -0.04 | 25% | 24 Jul → | ||
| 13–4 | -0.04 | 37% | 24 Jul → | ||
| 13–8 | -0.01 | 26% | 23 Jul → | ||
| 13–6 | -0.01 | 30% | 23 Jul → | ||
| 9–13 | -0.05 | 17% | 19 Jul → | ||
| 10–13 | -0.03 | 25% | 19 Jul → | ||
| 13–8 | -0.05 | 43% | 19 Jul → | ||
| 13–9 | -0.00 | 19% | 19 Jul → | ||
| 8–13 | -0.02 | 31% | 19 Jul → | ||
| 8–13 | -0.10 | 32% | 19 Jul → | ||
| 13–11 | -0.01 | 19% | 18 Jul → | ||
| 13–2 | -0.04 | 20% | 18 Jul → | ||
| 13–4 | 0.03 | 33% | 18 Jul → | ||
| 1–13 | -0.08 | 8% | 18 Jul → | ||
| 13–3 | 0.07 | 48% | 18 Jul → | ||
| 13–5 | -0.02 | 23% | 18 Jul → | ||
| 5–13 | 0.01 | 29% | 18 Jul → | ||
| 9–13 | -0.00 | 20% | 18 Jul → | ||
| 9–13 | -0.00 | 10% | 11 Jul → | ||
| 8–13 | -0.06 | 12% | 11 Jul → | ||
| 10–13 | 0.00 | 13% | 11 Jul → | ||
| 9–13 | -0.02 | 24% | 11 Jul → | ||
| 13–8 | -0.01 | 45% | 11 Jul → | ||
| 11–13 | -0.13 | 11% | 3 Jul → | ||
| 13–9 | -0.08 | 17% | 3 Jul → | ||
| 12–12 | 0.00 | 29% | 3 Jul → | ||
| 13–4 | -0.00 | 21% | 3 Jul → | ||
| 13–10 | -0.02 | 10% | 3 Jul → | ||
| 3–11 | -0.12 | 26% | 19 Jun → | ||
| 5–13 | -0.13 | 17% | 18 Jun → | ||
| 11–13 | -0.02 | 30% | 18 Jun → | ||
| 9–13 | -0.07 | 27% | 17 Jun → | ||
| 5–13 | -0.03 | 16% | 17 Jun → | ||
| 6–13 | -0.01 | 22% | 15 Jun → | ||
| 12–12 | 0.06 | 31% | 14 Jun → | ||
| 12–12 | 0.01 | 27% | 14 Jun → | ||
| 13–1 | 0.21 | 32% | 14 Jun → | ||
| 2–13 | -0.01 | 10% | 14 Jun → | ||
| 13–5 | 0.03 | 15% | 14 Jun → | ||
| 4–13 | -0.07 | 15% | 13 Jun → | ||
| 5–13 | 0.00 | 24% | 13 Jun → | ||
| 12–12 | -0.01 | 22% | 13 Jun → | ||
| 12–12 | -0.11 | 10% | 13 Jun → | ||
| 13–7 | -0.04 | 9% | 13 Jun → | ||
| 10–13 | -0.10 | 21% | 11 Jun → | ||
| 5–13 | 0.00 | 24% | 11 Jun → | ||
| 6–13 | -0.00 | 19% | 22 May → | ||
| 7–13 | -0.04 | 21% | 19 May → | ||
| 11–13 | -0.08 | 24% | 19 May → | ||
| 6–13 | -0.04 | 28% | 19 May → | ||
| 12–12 | -0.01 | 23% | 19 May → | ||
| 12–12 | 0.04 | 43% | 19 May → | ||
| 16–13 | -0.01 | 21% | 17 May → | ||
| 3–13 | -0.09 | 35% | 17 May → | ||
| 5–13 | -0.07 | 30% | 23 Apr → | ||
| 7–13 | -0.03 | 32% | 23 Apr → | ||
| 5–13 | -0.09 | 25% | 17 Apr → | ||
| 3–9 | -0.11 | 17% | 3 Feb → | ||
| 4–9 | -0.06 | 19% | 3 Feb → | ||
| 9–6 | -0.10 | 0% | 3 Feb → | ||
| 4–9 | -0.16 | 9% | 3 Feb → | ||
| 1–9 | -0.21 | 22% | 3 Feb → | ||
| 5–13 | -0.02 | 13% | 2 Feb → | ||
| 12–12 | -0.03 | 20% | 5 May → | ||
| 13–3 | 0.07 | 26% | 27 Apr → | ||
| 12–12 | -0.02 | 27% | 24 Apr → | ||
| 13–3 | 0.06 | 17% | 24 Apr → | ||
| 8–13 | 0.01 | 33% | 24 Apr → | ||
| 2–13 | -0.05 | 47% | 23 Apr → | ||
| 12–7 | 0.01 | 30% | 23 Apr → | ||
| 13–0 | 0.01 | 15% | 23 Apr → | ||
| 11–13 | -0.00 | 31% | 22 Apr → | ||
| 2–7 | -0.07 | 38% | 22 Apr → | ||
| 1–6 | -0.00 | 42% | 22 Apr → | ||
| 2–8 | 0.01 | 17% | 21 Apr → | ||
| 13–7 | -0.03 | 17% | 20 Apr → | ||
| 9–6 | 0.10 | 19% | 20 Apr → | ||
| 1–13 | -0.12 | 0% | 20 Apr → | ||
| 1–13 | -0.09 | 11% | 18 Apr → |
Match data via Leetify.