Nevyprávaj na mňa — CS2 Stats
76561198335059108[U:1:374793380]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 33.0% | 41.7% | 44.1% | 11.1% short |
| Shot accuracy | 18.2% | 8.8% | 11.4% | above |
| Kill/death ratio | 0.94 | 0.97 | 1.03 | 0.09 short |
| Match win rate | 46.0% | 43.8% | 45.2% | meets |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp 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-fight frequency, 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 43% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.3/10 (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 | 31 | 14–17 | 45% | -0.01 | |
| C | 20 | 8–12 | 40% | -0.00 | |
| A | 16 | 10–6 | 63% | -0.01 | |
| A | 11 | 7–4 | 64% | 0.00 | |
| A | 8 | 5–3 | 63% | -0.02 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| A | 7 | 4–3 | 57% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 20). 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.
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 12.0933° — above the 12° mark we flag
- 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 11.3508% — 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 0.3504 — 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.
40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.09 | 21% | 28 Aug → | ||
| 4–13 | -0.03 | 9% | 28 Aug → | ||
| 13–8 | 0.02 | 23% | 28 Aug → | ||
| 10–13 | -0.04 | 12% | 28 Aug → | ||
| 13–10 | -0.00 | 13% | 28 Aug → | ||
| 13–2 | -0.03 | 21% | 28 Aug → | ||
| 10–13 | -0.03 | 7% | 28 Aug → | ||
| 11–13 | -0.07 | 6% | 28 Aug → | ||
| 9–13 | -0.02 | 6% | 28 Aug → | ||
| 9–13 | -0.01 | 7% | 28 Aug → | ||
| 13–2 | 0.07 | 12% | 28 Aug → | ||
| 12–16 | -0.08 | 10% | 26 Aug → | ||
| 0–13 | -0.05 | 4% | 26 Aug → | ||
| 13–9 | 0.01 | 11% | 26 Aug → | ||
| 16–13 | -0.01 | 18% | 26 Aug → | ||
| 8–13 | -0.01 | 18% | 26 Aug → | ||
| 13–6 | 0.00 | 11% | 26 Aug → | ||
| 11–4 | 0.03 | 11% | 25 Aug → | ||
| 13–11 | 0.03 | 14% | 25 Aug → | ||
| 5–10 | 0.01 | 15% | 25 Aug → | ||
| 13–11 | 0.01 | 9% | 25 Aug → | ||
| 13–8 | -0.04 | 13% | 25 Aug → | ||
| 13–5 | -0.01 | 12% | 24 Aug → | ||
| 6–13 | -0.02 | 11% | 24 Aug → | ||
| 13–1 | 0.09 | 10% | 24 Aug → | ||
| 13–7 | 0.05 | 9% | 24 Aug → | ||
| 7–13 | -0.02 | 11% | 24 Aug → | ||
| 13–1 | 0.13 | 10% | 24 Aug → | ||
| 13–9 | 0.01 | 9% | 22 Aug → | ||
| 15–15 | -0.03 | 4% | 22 Aug → | ||
| 13–10 | 0.02 | 14% | 22 Aug → | ||
| 14–16 | -0.01 | 11% | 22 Aug → | ||
| 11–13 | 0.07 | 8% | 22 Aug → | ||
| 13–10 | 0.07 | 17% | 22 Aug → | ||
| 3–5 | 0.00 | 19% | 22 Aug → | ||
| 7–13 | -0.04 | 8% | 22 Aug → | ||
| 13–0 | 0.08 | 14% | 22 Aug → | ||
| 13–2 | 0.02 | 8% | 22 Aug → | ||
| 11–13 | -0.02 | 13% | 22 Aug → | ||
| 8–13 | -0.08 | 10% | 21 Aug → | ||
| 9–13 | -0.01 | 18% | 21 Aug → | ||
| 7–13 | -0.05 | 24% | 21 Aug → | ||
| 6–13 | 0.01 | 11% | 21 Aug → | ||
| 13–11 | -0.02 | 13% | 21 Aug → | ||
| 6–13 | -0.04 | 4% | 21 Aug → | ||
| 7–13 | -0.03 | 10% | 21 Aug → | ||
| 4–13 | -0.06 | 11% | 21 Aug → | ||
| 11–13 | -0.02 | 17% | 21 Aug → | ||
| 9–13 | -0.07 | 8% | 16 Aug → | ||
| 13–8 | -0.05 | 13% | 16 Aug → | ||
| 10–13 | 0.05 | 9% | 16 Aug → | ||
| 11–13 | -0.02 | 5% | 16 Aug → | ||
| 16–14 | -0.04 | 8% | 15 Aug → | ||
| 1–13 | -0.06 | 13% | 15 Aug → | ||
| 1–11 | -0.05 | 19% | 15 Aug → | ||
| 13–11 | -0.02 | 15% | 15 Aug → | ||
| 16–14 | -0.00 | 22% | 15 Aug → | ||
| 7–4 | -0.08 | 0% | 15 Aug → | ||
| 13–16 | -0.05 | 5% | 15 Aug → | ||
| 6–13 | -0.03 | 16% | 9 Aug → | ||
| 14–16 | -0.01 | 12% | 9 Aug → | ||
| 13–9 | 0.01 | 3% | 8 Aug → | ||
| 13–7 | -0.00 | 9% | 8 Aug → | ||
| 1–13 | -0.07 | 16% | 8 Aug → | ||
| 8–13 | -0.01 | 13% | 8 Aug → | ||
| 3–13 | -0.01 | 16% | 8 Aug → | ||
| 4–13 | -0.06 | 7% | 8 Aug → | ||
| 13–8 | 0.06 | 11% | 7 Aug → | ||
| 11–13 | -0.05 | 13% | 7 Aug → | ||
| 4–13 | -0.03 | 17% | 7 Aug → | ||
| 13–3 | -0.04 | 5% | 7 Aug → | ||
| 6–13 | -0.03 | 12% | 7 Aug → | ||
| 8–13 | 0.00 | 18% | 2 Aug → | ||
| 5–13 | -0.06 | 9% | 2 Aug → | ||
| 5–13 | -0.05 | 10% | 2 Aug → | ||
| 10–13 | 0.00 | 8% | 2 Aug → | ||
| 9–2 | 0.30 | 33% | 2 Aug → | ||
| 13–10 | 0.00 | 10% | 2 Aug → | ||
| 13–10 | -0.05 | 7% | 2 Aug → | ||
| 13–6 | -0.02 | 17% | 30 Jul → | ||
| 13–6 | -0.03 | 19% | 29 Jul → | ||
| 8–13 | -0.01 | 19% | 29 Jul → | ||
| 16–13 | -0.02 | 12% | 27 Jul → | ||
| 5–13 | -0.09 | 17% | 27 Jul → | ||
| 9–13 | -0.04 | 13% | 27 Jul → | ||
| 4–13 | -0.01 | 16% | 27 Jul → | ||
| 13–8 | 0.05 | 11% | 26 Jul → | ||
| 13–8 | -0.09 | 4% | 26 Jul → | ||
| 13–5 | -0.06 | 13% | 26 Jul → | ||
| 9–4 | -0.04 | 10% | 26 Jul → | ||
| 13–7 | -0.00 | 9% | 26 Jul → | ||
| 13–1 | -0.01 | 7% | 26 Jul → | ||
| 16–13 | 0.04 | 14% | 26 Jul → | ||
| 13–9 | -0.02 | 13% | 26 Jul → | ||
| 13–8 | 0.07 | 14% | 25 Jul → | ||
| 5–13 | -0.01 | 9% | 25 Jul → | ||
| 13–11 | -0.04 | 8% | 24 Jul → | ||
| 16–12 | -0.03 | 13% | 24 Jul → | ||
| 16–14 | 0.03 | 17% | 24 Jul → | ||
| 13–11 | -0.05 | 2% | 24 Jul → |
Match data via Leetify.