Pan rohlík tukový 43g — CS2 Stats
76561198104280751[U:1:144015023]
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,892), 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 | Level 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 42.5% | 48.5% | 51.9% | 9.5% short |
| Shot accuracy | 13.6% | 13.3% | 13.7% | meets |
| Kill/death ratio | 1.16 | 1.07 | 1.08 | above |
| Match win rate | 48.2% | 47.0% | 48.7% | meets |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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 Twistzz 90% playstyle similarity
Most alike: utility contribution, positioning profile.
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
Areas to improve
Reaction time. 572ms 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 5.5/10 (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 | 28 | 16–12 | 57% | 0.01 | |
| A | 14 | 8–6 | 57% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| D | 10 | 3–7 | 30% | 0.00 | |
| S | 9 | 7–2 | 78% | 0.05 | |
| C | 8 | 3–5 | 38% | 0.05 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| C | 5 | 2–3 | 40% | 0.00 | |
| stronghold | — | 1 | 1–0 | 100% | 0.04 |
| alpine | — | 1 | 1–0 | 100% | -0.01 |
| warden | — | 1 | 1–0 | 100% | 0.08 |
| — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Overpass 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 208 | 52% | 1.12 | 15.9 |
| Nuke | 161 | 50% | 1.10 | 16.2 |
| Mirage | 160 | 48% | 1.16 | 15.5 |
| Ancient | 148 | 51% | 1.11 | 15.7 |
| Anubis | 130 | 52% | 1.12 | 16.2 |
| Vertigo | 93 | 48% | 1.24 | 16.3 |
| Overpass | 79 | 54% | 1.12 | 15.8 |
| Dust2 | 68 | 35% | 1.00 | 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.
- 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 35.8332% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.01 | 14% | 21 Aug → | ||
| 5–13 | 0.03 | 17% | 21 Aug → | ||
| 11–13 | -0.04 | 22% | 17 Aug → | ||
| 13–11 | 0.09 | 18% | 16 Aug → | ||
| 8–13 | -0.03 | 26% | 16 Aug → | ||
| 13–0 | 0.02 | 9% | 15 Aug → | ||
| 16–12 | 0.03 | 19% | 15 Aug → | ||
| 13–7 | 0.06 | 20% | 15 Aug → | ||
| 7–13 | -0.03 | 26% | 15 Aug → | ||
| 13–10 | -0.01 | 18% | 13 Aug → | ||
| 13–9 | -0.04 | 5% | 13 Aug → | ||
| 11–13 | -0.01 | 17% | 10 Aug → | ||
| 13–10 | -0.06 | 17% | 10 Aug → | ||
| 13–10 | 0.05 | 18% | 10 Aug → | ||
| 13–8 | -0.05 | 19% | 10 Aug → | ||
| 3–7 | -0.03 | 20% | 10 Aug → | ||
| 13–8 | 0.03 | 15% | 9 Aug → | ||
| 13–10 | -0.03 | 16% | 9 Aug → | ||
| 14–16 | 0.08 | 22% | 9 Aug → | ||
| 13–9 | 0.05 | 23% | 2 Aug → | ||
| 13–5 | -0.03 | 23% | 2 Aug → | ||
| 8–13 | 0.02 | 24% | 2 Aug → | ||
| 10–13 | 0.01 | 24% | 26 Jul → | ||
| 16–13 | 0.04 | 26% | 26 Jul → | ||
| 13–7 | 0.08 | 30% | 3 Jul → | ||
| 9–13 | -0.00 | 26% | 3 Jul → | ||
| 13–9 | -0.05 | 15% | 28 Jun → | ||
| 9–13 | 0.01 | 23% | 28 Jun → | ||
| 4–13 | -0.01 | 16% | 27 Jun → | ||
| 13–9 | 0.07 | 22% | 27 Jun → | ||
| 13–6 | 0.03 | 12% | 27 Jun → | ||
| 16–13 | 0.01 | 13% | 27 Jun → | ||
| 11–13 | 0.04 | 15% | 27 Jun → | ||
| 4–13 | -0.10 | 0% | 25 Jun → | ||
| 6–13 | 0.00 | 50% | 14 Jun → | ||
| 13–11 | 0.11 | 22% | 14 Jun → | ||
| 13–10 | -0.01 | 19% | 14 Jun → | ||
| 13–10 | -0.09 | 21% | 12 Jun → | ||
| 13–4 | 0.02 | 38% | 12 Jun → | ||
| 13–11 | 0.00 | 18% | 12 Jun → | ||
| 3–13 | -0.03 | 23% | 12 Jun → | ||
| 13–8 | 0.03 | 25% | 12 Jun → | ||
| 5–13 | -0.03 | 20% | 7 Jun → | ||
| 3–13 | -0.01 | 20% | 16 May → | ||
| 7–13 | -0.08 | 13% | 16 May → | ||
| 9–13 | 0.03 | 25% | 14 May → | ||
| 5–13 | -0.04 | 21% | 11 May → | ||
| 13–11 | 0.04 | 33% | 9 May → | ||
| 13–11 | 0.09 | 32% | 2 May → | ||
| 6–13 | -0.03 | 21% | 27 Apr → | ||
| 13–9 | 0.14 | 30% | 23 Apr → | ||
| 13–11 | -0.05 | 17% | 13 Apr → | ||
| 13–11 | 0.02 | 15% | 12 Apr → | ||
| 13–3 | 0.08 | 44% | 10 Apr → | ||
| 13–0 | 0.10 | 17% | 8 Apr → | ||
| 13–8 | 0.06 | 21% | 3 Apr → | ||
| 8–13 | -0.04 | 26% | 2 Apr → | ||
| 3–13 | 0.01 | 24% | 29 Mar → | ||
| 7–13 | 0.02 | 31% | 20 Mar → | ||
| 1–13 | -0.03 | 19% | 16 Mar → | ||
| 16–14 | -0.02 | 24% | 13 Mar → | ||
| 13–9 | 0.03 | 23% | 12 Mar → | ||
| 6–13 | -0.03 | 36% | 12 Mar → | ||
| 5–13 | -0.00 | 29% | 12 Mar → | ||
| 11–13 | 0.02 | 30% | 6 Mar → | ||
| 16–14 | 0.06 | 37% | 4 Mar → | ||
| 13–6 | -0.00 | 17% | 16 Feb → | ||
| 11–13 | 0.03 | 16% | 13 Feb → | ||
| 11–13 | 0.01 | 19% | 11 Feb → | ||
| 8–13 | -0.04 | 25% | 8 Feb → | ||
| stronghold | 13–3 | 0.04 | 25% | 6 Feb → | |
| alpine | 4–1 | -0.01 | 0% | 6 Feb → | |
| 3–9 | -0.21 | 38% | 6 Feb → | ||
| 13–8 | 0.18 | 33% | 6 Feb → | ||
| warden | 13–11 | 0.08 | 27% | 5 Feb → | |
| 9–5 | 0.11 | 27% | 5 Feb → | ||
| 5–13 | 0.05 | 11% | 4 Feb → | ||
| 13–5 | 0.03 | 12% | 4 Feb → | ||
| 10–13 | 0.01 | 15% | 30 Jan → | ||
| 13–11 | 0.04 | 23% | 29 Jan → | ||
| 13–6 | 0.20 | 21% | 28 Jan → | ||
| 8–13 | 0.06 | 29% | 28 Jan → | ||
| 2–13 | -0.05 | 28% | 23 Jan → | ||
| 13–8 | 0.05 | 17% | 18 Jan → | ||
| 7–13 | -0.08 | 12% | 16 Jan → | ||
| 2–13 | -0.08 | 25% | 16 Jan → | ||
| 10–13 | -0.03 | 18% | 4 Jan → | ||
| 13–5 | 0.09 | 27% | 4 Jan → | ||
| 7–13 | -0.09 | 24% | 22 Dec → | ||
| 1–13 | -0.08 | 14% | 20 Dec → | ||
| 13–10 | 0.11 | 48% | 20 Dec → | ||
| 13–4 | -0.05 | 6% | 19 Dec → | ||
| 16–14 | -0.07 | 29% | 17 Dec → | ||
| 13–8 | 0.07 | 33% | 17 Dec → | ||
| 13–5 | -0.03 | 33% | 16 Dec → | ||
| 13–8 | -0.04 | 24% | 16 Dec → | ||
| 8–13 | -0.02 | 22% | 9 Dec → | ||
| 10–13 | 0.01 | 24% | 4 Dec → | ||
| 6–13 | 0.00 | 34% | 3 Dec → | ||
| 8–13 | -0.00 | 26% | 2 Dec → |
Match data via Leetify.
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