iovnfdvbsd — CS2 Stats
AQ76561198149215893[U:1:188950165]Steam profile ↗
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 41.0% | 42.2% | 42.7% | 1.7% short |
| Shot accuracy | 14.9% | 11.9% | 10.8% | above |
| Kill/death ratio | 0.75 | 0.98 | 1.00 | 0.25 short |
| Match win rate | 40.9% | 43.6% | 44.1% | 3.3% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp 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 58% 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. 723ms 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 |
|---|---|---|---|---|---|
 dust2 | C | 98 | 39–59 | 40% | -0.04 |
 inferno | — | 2 | 0–2 | 0% | -0.18 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.365° — above the 12° mark we flag
- 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 722.5927ms — above the 700ms mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 6–13 | -0.08 | 17% | 24 Aug → | |
| dust2 | 3–11 | -0.07 | 40% | 22 Aug → | |
| dust2 | 13–5 | -0.04 | 17% | 17 Aug → | |
| dust2 | 13–10 | -0.09 | 22% | 9 Aug → | |
| dust2 | 13–10 | -0.02 | 36% | 6 Aug → | |
| dust2 | 4–13 | -0.09 | 5% | 6 Aug → | |
| dust2 | 13–4 | 0.03 | 25% | 5 Aug → | |
| dust2 | 13–10 | -0.02 | 23% | 1 Aug → | |
| dust2 | 12–12 | -0.08 | 8% | 31 Jul → | |
| dust2 | 13–10 | -0.04 | 18% | 31 Jul → | |
| dust2 | 8–0 | -0.02 | 22% | 30 Jul → | |
| dust2 | 8–13 | -0.09 | 6% | 30 Jul → | |
| inferno | 0–9 | -0.24 | 11% | 24 Jul → | |
| dust2 | 3–13 | -0.04 | 13% | 24 Jul → | |
| dust2 | 7–1 | -0.01 | 35% | 24 Jul → | |
| dust2 | 5–13 | -0.12 | 25% | 24 Jul → | |
| dust2 | 12–12 | -0.07 | 24% | 24 Jul → | |
| dust2 | 1–13 | -0.12 | 14% | 24 Jul → | |
| dust2 | 7–13 | -0.10 | 11% | 22 Jul → | |
| dust2 | 6–13 | -0.06 | 13% | 22 Jul → | |
| dust2 | 13–6 | -0.03 | 21% | 21 Jul → | |
| dust2 | 11–13 | -0.06 | 12% | 20 Jul → | |
| dust2 | 8–13 | -0.09 | 22% | 14 Jul → | |
| dust2 | 12–12 | -0.02 | 15% | 13 Jul → | |
| dust2 | 8–13 | -0.09 | 17% | 12 Jul → | |
| dust2 | 10–13 | -0.01 | 23% | 12 Jul → | |
| dust2 | 5–13 | -0.08 | 10% | 9 Jul → | |
| dust2 | 3–13 | -0.09 | 9% | 4 Jul → | |
| dust2 | 4–13 | -0.09 | 17% | 2 Jul → | |
| dust2 | 12–12 | -0.04 | 33% | 2 Jul → | |
| inferno | 8–13 | -0.11 | 14% | 1 Jul → | |
| dust2 | 10–13 | -0.09 | 16% | 1 Jul → | |
| dust2 | 3–7 | -0.09 | 40% | 1 Jul → | |
| dust2 | 3–13 | -0.06 | 0% | 30 Jun → | |
| dust2 | 13–7 | -0.01 | 7% | 30 Jun → | |
| dust2 | 13–5 | -0.02 | 31% | 28 Jun → | |
| dust2 | 13–6 | -0.05 | 19% | 25 Jun → | |
| dust2 | 13–5 | -0.08 | 10% | 25 Jun → | |
| dust2 | 13–11 | -0.04 | 15% | 24 Jun → | |
| dust2 | 9–13 | -0.01 | 33% | 23 Jun → | |
| dust2 | 13–2 | -0.04 | 14% | 23 Jun → | |
| dust2 | 13–7 | 0.09 | 16% | 22 Jun → | |
| dust2 | 7–13 | -0.06 | 12% | 22 Jun → | |
| dust2 | 13–10 | -0.05 | 7% | 22 Jun → | |
| dust2 | 13–11 | -0.06 | 7% | 20 Jun → | |
| dust2 | 8–13 | -0.07 | 13% | 20 Jun → | |
| dust2 | 10–13 | -0.05 | 25% | 20 Jun → | |
| dust2 | 12–12 | -0.07 | 17% | 19 Jun → | |
| dust2 | 8–13 | -0.00 | 13% | 19 Jun → | |
| dust2 | 11–13 | 0.01 | 10% | 17 Jun → | |
| dust2 | 12–12 | -0.02 | 30% | 17 Jun → | |
| dust2 | 12–12 | -0.07 | 15% | 16 Jun → | |
| dust2 | 11–13 | 0.06 | 10% | 16 Jun → | |
| dust2 | 13–6 | -0.08 | 9% | 15 Jun → | |
| dust2 | 13–6 | -0.06 | 33% | 12 Jun → | |
| dust2 | 13–10 | -0.01 | 15% | 11 Jun → | |
| dust2 | 13–8 | -0.01 | 24% | 10 Jun → | |
| dust2 | 13–9 | -0.05 | 8% | 10 Jun → | |
| dust2 | 8–13 | -0.03 | 6% | 9 Jun → | |
| dust2 | 13–9 | -0.07 | 10% | 9 Jun → | |
| dust2 | 13–7 | -0.01 | 24% | 8 Jun → | |
| dust2 | 10–13 | -0.07 | 28% | 8 Jun → | |
| dust2 | 2–13 | -0.05 | 12% | 8 Jun → | |
| dust2 | 13–3 | -0.01 | 16% | 4 Jun → | |
| dust2 | 12–12 | -0.02 | 21% | 4 Jun → | |
| dust2 | 13–11 | -0.07 | 19% | 4 Jun → | |
| dust2 | 2–13 | -0.10 | 6% | 4 Jun → | |
| dust2 | 8–13 | -0.06 | 26% | 3 Jun → | |
| dust2 | 11–13 | -0.03 | 26% | 3 Jun → | |
| dust2 | 11–13 | -0.04 | 7% | 1 Jun → | |
| dust2 | 1–8 | -0.08 | 14% | 1 Jun → | |
| dust2 | 13–10 | -0.08 | 28% | 1 Jun → | |
| dust2 | 11–13 | -0.00 | 22% | 31 May → | |
| dust2 | 13–7 | -0.06 | 15% | 30 May → | |
| dust2 | 10–13 | -0.00 | 17% | 30 May → | |
| dust2 | 13–6 | 0.02 | 13% | 30 May → | |
| dust2 | 10–8 | -0.03 | 31% | 29 May → | |
| dust2 | 9–13 | -0.03 | 31% | 29 May → | |
| dust2 | 5–13 | -0.05 | 25% | 26 May → | |
| dust2 | 6–13 | -0.04 | 53% | 26 May → | |
| dust2 | 4–13 | 0.00 | 22% | 25 May → | |
| dust2 | 4–13 | 0.03 | 26% | 24 May → | |
| dust2 | 4–13 | -0.07 | 14% | 23 May → | |
| dust2 | 5–13 | 0.03 | 20% | 21 May → | |
| dust2 | 2–13 | -0.10 | 19% | 19 May → | |
| dust2 | 13–11 | -0.05 | 16% | 18 May → | |
| dust2 | 13–8 | -0.05 | 23% | 18 May → | |
| dust2 | 5–4 | 0.01 | 30% | 18 May → | |
| dust2 | 13–4 | -0.06 | 21% | 18 May → | |
| dust2 | 13–11 | -0.02 | 26% | 18 May → | |
| dust2 | 11–13 | -0.06 | 20% | 17 May → | |
| dust2 | 8–13 | -0.05 | 12% | 16 May → | |
| dust2 | 1–5 | -0.03 | 44% | 16 May → | |
| dust2 | 12–12 | -0.04 | 25% | 16 May → | |
| dust2 | 12–12 | -0.03 | 24% | 16 May → | |
| dust2 | 5–13 | -0.03 | 25% | 16 May → | |
| dust2 | 13–11 | -0.07 | 5% | 15 May → | |
| dust2 | 13–10 | -0.06 | 14% | 15 May → | |
| dust2 | 12–12 | 0.00 | 24% | 15 May → | |
| dust2 | 13–8 | -0.04 | 25% | 14 May → |
Match data via Leetify.
