Durny — CS2 Stats
76561199059876834[U:1:1099611106]
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 | 54.9% | 49.0% | 52.0% | above |
| Shot accuracy | 17.9% | 13.1% | 13.7% | above |
| Kill/death ratio | 0.89 | 1.08 | 1.08 | 0.19 short |
| Match win rate | 47.8% | 46.9% | 48.8% | 1.0% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. 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: +10pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 560ms 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 7.5/10 (Strong), 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 | 32 | 17–15 | 53% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.01 | |
| B | 15 | 7–8 | 47% | -0.00 | |
| A | 7 | 4–3 | 57% | 0.07 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.04 | |
| — | 3 | 3–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 196 | 48% | 1.18 | 17.6 |
| Ancient | 83 | 55% | 1.16 | 17.9 |
| Overpass | 71 | 61% | 1.14 | 18.0 |
| Nuke | 48 | 42% | 1.14 | 17.1 |
| Dust2 | 29 | 52% | 1.23 | 16.9 |
| Inferno | 28 | 39% | 1.02 | 15.3 |
| Train | 23 | 57% | 1.01 | 16.2 |
| Vertigo | 7 | 57% | 1.23 | 17.6 |
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
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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.04 | 24% | 28 Aug → | ||
| 13–1 | 0.16 | 28% | 24 Aug → | ||
| 13–0 | 0.07 | 13% | 24 Aug → | ||
| 13–7 | 0.02 | 13% | 23 Aug → | ||
| 11–13 | 0.07 | 39% | 19 Aug → | ||
| 13–4 | 0.10 | 31% | 19 Aug → | ||
| 12–16 | 0.04 | 23% | 17 Aug → | ||
| 13–7 | 0.09 | 35% | 15 Aug → | ||
| 10–13 | 0.09 | 36% | 14 Aug → | ||
| 7–13 | 0.03 | 27% | 9 Aug → | ||
| 3–13 | 0.00 | 28% | 9 Aug → | ||
| 13–11 | -0.01 | 25% | 8 Aug → | ||
| 15–15 | 0.05 | 29% | 8 Aug → | ||
| 15–15 | 0.08 | 24% | 8 Aug → | ||
| 8–13 | 0.06 | 13% | 7 Aug → | ||
| 13–3 | 0.04 | 26% | 7 Aug → | ||
| 11–13 | -0.02 | 19% | 6 Aug → | ||
| 13–6 | 0.12 | 26% | 6 Aug → | ||
| 15–15 | 0.04 | 12% | 31 Jul → | ||
| 13–6 | -0.05 | 26% | 31 Jul → | ||
| 3–8 | -0.01 | 20% | 26 Jun → | ||
| 6–13 | -0.07 | 6% | 26 Jun → | ||
| 13–2 | 0.05 | 23% | 17 Jun → | ||
| 13–2 | 0.08 | 15% | 14 Jun → | ||
| 13–7 | 0.02 | 17% | 10 Jun → | ||
| 13–9 | 0.03 | 16% | 3 May → | ||
| 13–3 | 0.14 | 36% | 3 May → | ||
| 10–13 | -0.00 | 36% | 6 Mar → | ||
| 9–0 | -0.08 | 25% | 6 Mar → | ||
| 13–11 | 0.03 | 27% | 4 Jan → | ||
| 11–13 | -0.02 | 14% | 4 Jan → | ||
| 9–13 | -0.03 | 38% | 29 Dec → | ||
| 9–13 | -0.05 | 19% | 28 Dec → | ||
| 1–13 | -0.09 | 20% | 28 Dec → | ||
| 7–13 | 0.02 | 29% | 28 Dec → | ||
| 13–5 | 0.10 | 29% | 28 Dec → | ||
| 13–1 | 0.06 | 29% | 15 Dec → | ||
| 13–7 | -0.00 | 14% | 14 Dec → | ||
| 10–13 | -0.00 | 23% | 11 Dec → | ||
| 13–6 | 0.15 | 27% | 9 Dec → | ||
| 13–11 | 0.02 | 14% | 7 Dec → | ||
| 13–7 | 0.02 | 22% | 30 Nov → | ||
| 13–8 | 0.10 | 18% | 22 Nov → | ||
| 13–8 | 0.05 | 34% | 22 Nov → | ||
| 13–8 | 0.03 | 24% | 22 Nov → | ||
| 8–13 | -0.09 | 16% | 21 Nov → | ||
| 13–8 | -0.01 | 31% | 17 Nov → | ||
| 13–6 | -0.01 | 30% | 16 Nov → | ||
| 13–11 | 0.08 | 13% | 15 Nov → | ||
| 13–9 | 0.01 | 15% | 15 Nov → | ||
| 13–6 | -0.03 | 26% | 14 Nov → | ||
| 16–14 | 0.04 | 32% | 9 Nov → | ||
| 16–12 | -0.01 | 24% | 8 Nov → | ||
| 13–6 | -0.07 | 14% | 8 Nov → | ||
| 16–14 | -0.03 | 19% | 20 Oct → | ||
| 14–16 | -0.01 | 27% | 18 Oct → | ||
| 9–13 | -0.06 | 19% | 18 Oct → | ||
| 13–11 | 0.02 | 29% | 16 Oct → | ||
| 14–16 | -0.01 | 16% | 16 Oct → | ||
| 10–13 | -0.04 | 13% | 13 Oct → | ||
| 13–7 | 0.02 | 12% | 12 Oct → | ||
| 13–11 | 0.03 | 31% | 12 Oct → | ||
| 13–16 | -0.02 | 14% | 11 Oct → | ||
| 8–13 | -0.02 | 13% | 8 Oct → | ||
| 7–13 | -0.03 | 24% | 4 Oct → | ||
| 13–6 | 0.02 | 32% | 3 Oct → | ||
| 9–13 | 0.03 | 30% | 3 Oct → | ||
| 16–14 | 0.06 | 14% | 30 Sept → | ||
| 12–16 | -0.03 | 8% | 29 Sept → | ||
| 4–13 | 0.01 | 18% | 29 Sept → | ||
| 10–13 | -0.03 | 23% | 28 Sept → | ||
| 9–13 | -0.00 | 16% | 26 Sept → | ||
| 7–13 | -0.06 | 14% | 23 Sept → | ||
| 14–16 | 0.05 | 11% | 22 Sept → | ||
| 7–13 | 0.01 | 8% | 22 Sept → | ||
| 4–13 | -0.02 | 17% | 9 Sept → | ||
| 14–16 | -0.02 | 29% | 7 Sept → | ||
| 16–14 | 0.07 | 25% | 4 Sept → | ||
| 16–13 | -0.04 | 25% | 4 Sept → | ||
| 13–9 | 0.04 | 25% | 3 Sept → | ||
| 7–13 | 0.00 | 25% | 1 Sept → | ||
| 13–10 | 0.02 | 26% | 31 Aug → | ||
| 13–6 | 0.03 | 26% | 21 Aug → | ||
| 11–0 | 0.11 | 17% | 20 Aug → | ||
| 13–9 | -0.01 | 15% | 20 Jul → | ||
| 8–0 | 0.05 | 20% | 20 Jul → | ||
| 13–9 | -0.02 | 35% | 20 Jul → | ||
| 13–8 | -0.04 | 39% | 11 May → | ||
| 13–1 | -0.03 | 11% | 22 Apr → | ||
| 4–13 | -0.04 | 40% | 21 Apr → | ||
| 4–13 | -0.04 | 25% | 14 Apr → | ||
| 12–16 | 0.04 | 36% | 14 Apr → | ||
| 13–10 | -0.02 | 18% | 27 Mar → | ||
| 7–13 | 0.08 | 22% | 23 Mar → | ||
| 13–2 | 0.06 | 32% | 21 Mar → | ||
| 8–13 | 0.08 | 21% | 16 Jan → | ||
| 13–8 | -0.04 | 16% | 17 Nov → | ||
| 9–13 | -0.00 | 29% | 10 Mar → | ||
| 6–13 | -0.06 | 30% | 10 Mar → | ||
| 8–13 | -0.05 | 28% | 9 Mar → |
Match data via Leetify.
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