DenYosh — CS2 Stats
76561198310034107[U:1:349768379]✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 40.7% | 42.1% | 42.1% | 1.4% short |
| Shot accuracy | 19.8% | 12.9% | 12.1% | above |
| Kill/death ratio | 0.85 | 1.00 | 0.99 | 0.14 short |
| Match win rate | 44.2% | 42.9% | 43.9% | meets |
This profile matches the typical Level 3 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 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: +0pp win rate · -0.00 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 70% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower positioning profile; 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. 749ms 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 3.8/10 (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 |
|---|---|---|---|---|---|
 mirage | C | 24 | 9–15 | 38% | -0.01 |
 nuke | C | 22 | 9–13 | 41% | -0.02 |
 inferno | C | 16 | 7–9 | 44% | -0.03 |
 ancient | C | 9 | 4–5 | 44% | -0.02 |
 dust2 | A | 9 | 5–4 | 56% | -0.03 |
 anubis | S | 7 | 5–2 | 71% | -0.03 |
 train | — | 4 | 3–1 | 75% | -0.01 |
 cache | — | 3 | 0–3 | 0% | -0.05 |
 vertigo | — | 2 | 2–0 | 100% | -0.02 |
 overpass | — | 1 | 0–1 | 0% | 0.01 |
| office | — | 1 | 0–1 | 0% | -0.08 |
| italy | — | 1 | 1–0 | 100% | -0.01 |
| edin | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Mirage 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 resultsWLLLL
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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 748.9722ms — above the 700ms 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 22.5895% — 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.
38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 12–12 | 0.03 | 15% | 24 Aug → | |
| cache | 11–13 | -0.01 | 19% | 18 Aug → | |
| mirage | 11–13 | -0.04 | 17% | 18 Aug → | |
| cache | 2–13 | -0.09 | 14% | 18 Aug → | |
| cache | 7–13 | -0.06 | 9% | 17 Aug → | |
| ancient | 13–9 | -0.01 | 21% | 17 Aug → | |
| nuke | 12–1 | -0.03 | 20% | 17 Aug → | |
| mirage | 16–14 | -0.00 | 11% | 17 Aug → | |
| inferno | 10–13 | -0.08 | 24% | 7 Aug → | |
| nuke | 15–15 | -0.03 | 14% | 2 Aug → | |
| nuke | 13–7 | 0.04 | 33% | 2 Aug → | |
| inferno | 13–5 | 0.05 | 14% | 2 Aug → | |
| mirage | 2–13 | -0.06 | 25% | 7 Jul → | |
| dust2 | 1–13 | -0.05 | 30% | 7 Jul → | |
| anubis | 5–13 | -0.10 | 25% | 8 Mar → | |
| inferno | 1–9 | -0.12 | 8% | 7 Mar → | |
| dust2 | 13–9 | 0.00 | 16% | 6 Mar → | |
| inferno | 8–13 | -0.08 | 21% | 6 Mar → | |
| ancient | 5–13 | -0.03 | 13% | 30 Jan → | |
| mirage | 8–13 | 0.05 | 19% | 18 Jan → | |
| inferno | 8–13 | -0.06 | 11% | 18 Jan → | |
| dust2 | 13–10 | -0.04 | 29% | 18 Jan → | |
| nuke | 13–10 | -0.05 | 31% | 18 Jan → | |
| overpass | 4–13 | 0.01 | 13% | 18 Jan → | |
| mirage | 1–13 | -0.05 | 14% | 11 Jan → | |
| anubis | 13–8 | -0.05 | 21% | 11 Jan → | |
| vertigo | 13–10 | -0.01 | 24% | 10 Jan → | |
| nuke | 3–13 | -0.01 | 24% | 10 Jan → | |
| dust2 | 12–12 | 0.02 | 31% | 10 Jan → | |
| mirage | 13–4 | 0.02 | 25% | 10 Jan → | |
| ancient | 11–13 | 0.04 | 22% | 10 Jan → | |
| nuke | 10–13 | -0.08 | 13% | 5 Jan → | |
| nuke | 11–13 | -0.10 | 23% | 2 Dec → | |
| dust2 | 12–12 | -0.05 | 22% | 27 Nov → | |
| mirage | 2–13 | -0.08 | 36% | 27 Nov → | |
| inferno | 9–13 | 0.05 | 20% | 27 Nov → | |
| mirage | 13–7 | 0.03 | 19% | 4 Nov → | |
| inferno | 13–4 | -0.03 | 11% | 26 Jun → | |
| train | 13–8 | -0.05 | 20% | 22 Jun → | |
| office | 12–12 | -0.08 | 18% | 2 Jun → | |
| dust2 | 13–3 | -0.04 | 39% | 27 May → | |
| mirage | 5–13 | -0.05 | 20% | 20 May → | |
| dust2 | 9–13 | -0.08 | 18% | 20 May → | |
| nuke | 15–15 | -0.01 | 17% | 3 Apr → | |
| nuke | 11–13 | -0.02 | 20% | 29 Mar → | |
| anubis | 13–10 | -0.01 | 26% | 23 Mar → | |
| ancient | 13–9 | 0.07 | 26% | 23 Mar → | |
| mirage | 15–15 | -0.06 | 29% | 23 Mar → | |
| nuke | 16–13 | -0.05 | 15% | 18 Mar → | |
| nuke | 8–13 | 0.02 | 26% | 16 Mar → | |
| nuke | 13–11 | -0.02 | 57% | 16 Mar → | |
| mirage | 13–6 | 0.04 | 25% | 16 Mar → | |
| nuke | 7–13 | -0.06 | 25% | 15 Mar → | |
| mirage | 13–10 | -0.08 | 36% | 15 Mar → | |
| dust2 | 13–8 | -0.01 | 22% | 13 Mar → | |
| mirage | 7–13 | -0.05 | 24% | 11 Mar → | |
| inferno | 7–13 | -0.01 | 24% | 10 Mar → | |
| nuke | 13–8 | 0.03 | 14% | 10 Mar → | |
| mirage | 11–13 | -0.05 | 15% | 3 Mar → | |
| nuke | 13–10 | 0.00 | 11% | 2 Mar → | |
| anubis | 13–6 | -0.06 | 14% | 2 Mar → | |
| nuke | 10–13 | -0.02 | 29% | 2 Mar → | |
| inferno | 11–13 | -0.05 | 9% | 1 Mar → | |
| nuke | 13–7 | 0.02 | 19% | 26 Feb → | |
| nuke | 14–16 | -0.03 | 16% | 22 Feb → | |
| mirage | 13–8 | 0.09 | 21% | 20 Feb → | |
| inferno | 13–5 | 0.01 | 21% | 15 Feb → | |
| ancient | 13–10 | -0.02 | 18% | 15 Feb → | |
| inferno | 5–13 | -0.05 | 29% | 10 Feb → | |
| anubis | 13–9 | 0.03 | 30% | 10 Feb → | |
| inferno | 13–8 | 0.04 | 28% | 9 Feb → | |
| ancient | 9–13 | -0.04 | 5% | 9 Feb → | |
| ancient | 13–8 | -0.07 | 28% | 8 Feb → | |
| inferno | 10–13 | -0.03 | 6% | 8 Feb → | |
| ancient | 13–16 | -0.04 | 11% | 5 Feb → | |
| train | 13–11 | -0.05 | 13% | 5 Feb → | |
| mirage | 6–13 | -0.01 | 17% | 3 Feb → | |
| ancient | 5–13 | -0.04 | 24% | 3 Feb → | |
| mirage | 15–15 | -0.00 | 30% | 3 Feb → | |
| anubis | 2–13 | -0.03 | 10% | 3 Feb → | |
| inferno | 13–10 | -0.01 | 17% | 2 Feb → | |
| mirage | 11–13 | 0.04 | 22% | 2 Feb → | |
| train | 13–3 | 0.00 | 24% | 2 Feb → | |
| dust2 | 13–4 | -0.02 | 15% | 31 Jan → | |
| inferno | 13–8 | -0.02 | 9% | 29 Jan → | |
| train | 8–13 | 0.07 | 19% | 29 Jan → | |
| italy | 13–8 | -0.01 | 26% | 28 Jan → | |
| edin | 13–6 | -0.06 | 10% | 28 Jan → | |
| inferno | 13–7 | -0.02 | 33% | 27 Jan → | |
| anubis | 13–11 | -0.02 | 5% | 27 Jan → | |
| mirage | 13–11 | 0.01 | 12% | 27 Jan → | |
| nuke | 5–13 | -0.05 | 28% | 21 Jan → | |
| mirage | 7–13 | -0.05 | 14% | 21 Jan → | |
| mirage | 13–9 | 0.05 | 9% | 19 Jan → | |
| nuke | 8–13 | 0.03 | 18% | 12 Jan → | |
| mirage | 13–11 | -0.03 | 9% | 12 Jan → | |
| nuke | 13–2 | 0.09 | 12% | 12 Jan → | |
| nuke | 13–16 | -0.03 | 16% | 10 Jan → | |
| vertigo | 13–6 | -0.03 | 26% | 10 Jan → | |
| mirage | 11–13 | 0.00 | 12% | 10 Jan → |
Match data via Leetify.
