oficjalny_oficjalnie — CS2 Stats
76561198237426124[U:1:277160396]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 39.5% | 48.1% | 8.5% short |
| Shot accuracy | 18.5% | 12.9% | above |
| Kill/death ratio | 1.07 | 1.08 | meets |
| Match win rate | 39.5% | 46.5% | 6.9% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink 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: +30pp win rate · +0.04 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 60% 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
Reaction time. 649ms 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 2.7/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 41 | 21–20 | 51% | -0.01 | |
| C | 18 | 8–10 | 44% | -0.02 | |
| C | 9 | 4–5 | 44% | 0.02 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| D | 5 | 1–4 | 20% | -0.03 | |
| — | 4 | 0–4 | 0% | 0.04 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| — | 2 | 0–2 | 0% | -0.06 |
Across the last 100 tracked matches.
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.
- 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 14.2505% — 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 0.1881 — 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 17.5815% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.09 | 6% | 19 May → | ||
| 10–13 | -0.04 | 7% | 19 May → | ||
| 5–13 | -0.06 | 21% | 16 May → | ||
| 7–7 | 0.02 | 19% | 14 May → | ||
| 13–8 | -0.00 | 8% | 11 May → | ||
| 13–10 | 0.02 | 15% | 11 May → | ||
| 13–8 | 0.05 | 14% | 11 May → | ||
| 13–10 | 0.07 | 17% | 9 May → | ||
| 13–6 | 0.04 | 12% | 7 May → | ||
| 10–13 | -0.03 | 13% | 7 May → | ||
| 13–10 | 0.00 | 15% | 5 May → | ||
| 13–4 | -0.00 | 17% | 4 May → | ||
| 6–13 | -0.02 | 15% | 4 May → | ||
| 6–13 | -0.05 | 8% | 4 May → | ||
| 8–13 | -0.08 | 17% | 4 May → | ||
| 6–13 | -0.06 | 16% | 4 May → | ||
| 7–13 | -0.04 | 6% | 1 May → | ||
| 3–13 | -0.02 | 25% | 27 Apr → | ||
| 1–13 | -0.05 | 21% | 19 Apr → | ||
| 5–13 | -0.07 | 14% | 19 Apr → | ||
| 13–5 | -0.05 | 12% | 18 Apr → | ||
| 8–13 | -0.02 | 14% | 18 Apr → | ||
| 2–13 | -0.05 | 17% | 16 Apr → | ||
| 8–13 | -0.02 | 9% | 16 Apr → | ||
| 13–2 | -0.11 | 11% | 15 Apr → | ||
| 13–0 | 0.00 | 20% | 15 Apr → | ||
| 13–7 | -0.02 | 17% | 15 Apr → | ||
| 13–8 | 0.05 | 8% | 13 Apr → | ||
| 6–13 | -0.04 | 27% | 13 Apr → | ||
| 5–13 | 0.05 | 19% | 11 Apr → | ||
| 7–13 | 0.01 | 12% | 11 Apr → | ||
| 9–13 | -0.00 | 24% | 4 Apr → | ||
| 13–10 | 0.02 | 15% | 2 Apr → | ||
| 6–13 | -0.04 | 14% | 2 Apr → | ||
| 9–13 | -0.04 | 2% | 30 Mar → | ||
| 13–8 | -0.02 | 18% | 29 Mar → | ||
| 13–10 | -0.05 | 15% | 29 Mar → | ||
| 11–13 | -0.04 | 21% | 29 Mar → | ||
| 11–13 | -0.02 | 12% | 25 Mar → | ||
| 13–4 | 0.00 | 15% | 12 Mar → | ||
| 13–3 | 0.02 | 10% | 3 Mar → | ||
| 13–6 | 0.01 | 28% | 2 Mar → | ||
| 13–3 | -0.03 | 23% | 1 Mar → | ||
| 11–13 | -0.11 | 10% | 17 Feb → | ||
| 13–3 | -0.02 | 11% | 17 Feb → | ||
| 13–7 | 0.01 | 13% | 17 Feb → | ||
| 13–8 | 0.06 | 15% | 17 Feb → | ||
| 6–13 | -0.02 | 17% | 11 Feb → | ||
| 16–13 | -0.01 | 13% | 10 Feb → | ||
| 3–13 | -0.07 | 24% | 27 Jan → | ||
| 8–13 | -0.03 | 7% | 27 Jan → | ||
| 5–13 | 0.03 | 18% | 25 Jan → | ||
| 8–13 | -0.00 | 22% | 25 Jan → | ||
| 13–4 | -0.01 | 16% | 24 Jan → | ||
| 13–6 | -0.02 | 17% | 22 Jan → | ||
| 5–13 | -0.01 | 20% | 21 Jan → | ||
| 10–13 | -0.02 | 9% | 15 Jan → | ||
| 3–13 | -0.05 | 10% | 13 Jan → | ||
| 13–5 | -0.02 | 27% | 13 Jan → | ||
| 13–8 | -0.01 | 14% | 11 Jan → | ||
| 5–13 | -0.00 | 9% | 3 Aug → | ||
| 13–8 | 0.14 | 15% | 1 Aug → | ||
| 6–13 | -0.02 | 11% | 1 Aug → | ||
| 11–13 | -0.00 | 12% | 31 Jul → | ||
| 7–13 | -0.04 | 8% | 29 Jul → | ||
| 5–13 | -0.04 | 25% | 29 Jul → | ||
| 13–6 | 0.08 | 13% | 27 Jul → | ||
| 13–3 | 0.08 | 13% | 24 Jul → | ||
| 13–2 | 0.03 | 15% | 24 Jul → | ||
| 2–13 | -0.08 | 16% | 23 Jul → | ||
| 2–8 | -0.07 | 8% | 21 Jul → | ||
| 5–13 | -0.03 | 5% | 21 Jul → | ||
| 13–10 | 0.06 | 24% | 21 Jul → | ||
| 5–13 | -0.06 | 15% | 17 Jul → | ||
| 13–2 | -0.05 | 6% | 17 Jul → | ||
| 9–13 | -0.01 | 22% | 17 Jul → | ||
| 2–13 | -0.08 | 4% | 12 Jul → | ||
| 13–5 | -0.01 | 9% | 8 Jun → | ||
| 12–12 | 0.07 | 15% | 15 May → | ||
| 13–6 | 0.11 | 20% | 15 May → | ||
| 6–13 | -0.06 | 25% | 24 Apr → | ||
| 1–1 | 0.28 | 18% | 21 Apr → | ||
| 13–11 | 0.09 | 8% | 7 Apr → | ||
| 10–13 | -0.02 | 11% | 6 Apr → | ||
| 13–11 | 0.08 | 14% | 3 Apr → | ||
| 13–7 | 0.15 | 18% | 2 Apr → | ||
| 0–13 | -0.07 | 14% | 30 Mar → | ||
| 13–6 | 0.02 | 15% | 26 Mar → | ||
| 8–13 | 0.03 | 13% | 19 Mar → | ||
| 13–3 | 0.12 | 11% | 17 Mar → | ||
| 12–12 | 0.02 | 6% | 14 Mar → | ||
| 13–5 | -0.00 | 18% | 14 Mar → | ||
| 13–6 | 0.04 | 20% | 13 Mar → | ||
| 8–13 | 0.03 | 22% | 13 Mar → | ||
| 13–2 | 0.02 | 13% | 12 Mar → | ||
| 12–12 | 0.01 | 11% | 12 Mar → | ||
| 13–11 | 0.02 | 12% | 11 Mar → | ||
| 4–13 | -0.10 | 14% | 6 Mar → | ||
| 8–13 | 0.06 | 15% | 3 Mar → | ||
| 5–13 | -0.06 | 22% | 3 Mar → |
Match data via Leetify.
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