꧅ — CS2 Stats
76561198299919762[U:1:339654034]✓ No bans
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 | 34.7% | 42.2% | 42.7% | 8.0% short |
| Shot accuracy | 19.6% | 11.9% | 10.8% | above |
| Kill/death ratio | 0.83 | 0.98 | 1.00 | 0.16 short |
| Match win rate | 42.4% | 43.6% | 44.1% | 1.7% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp 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 NiKo 71% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 700ms 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
 nuke | B | 24 | 12–12 | 50% | -0.04 |
 anubis | D | 14 | 3–11 | 21% | -0.03 |
 mirage | D | 13 | 4–9 | 31% | -0.02 |
 dust2 | B | 13 | 6–7 | 46% | -0.01 |
 ancient | A | 11 | 6–5 | 55% | -0.03 |
 inferno | C | 9 | 4–5 | 44% | -0.03 |
 train | — | 4 | 2–2 | 50% | -0.01 |
 vertigo | — | 4 | 2–2 | 50% | -0.02 |
 cache | — | 2 | 2–0 | 100% | 0.01 |
| office | — | 2 | 1–1 | 50% | 0.03 |
| thera | — | 2 | 2–0 | 100% | 0.01 |
| mills | — | 2 | 1–1 | 50% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 37 | 59% | 1.05 | 14.4 |
| Anubis | 36 | 58% | 1.06 | 14.4 |
| Mirage | 29 | 41% | 0.91 | 14.2 |
| Nuke | 22 | 36% | 0.81 | 13.6 |
| Inferno | 13 | 46% | 1.04 | 16.9 |
| Ancient | 12 | 33% | 0.75 | 12.4 |
| Overpass | 12 | 42% | 0.98 | 15.5 |
| Dust2 | 1 | 0% | 0.69 | 20.0 |
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 700.4933ms — above the 700ms 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 0.433 — 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 31.7308% — 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.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–2 | 0.03 | 19% | 5 Aug → | |
| cache | 10–1 | 0.03 | 30% | 5 Aug → | |
| mirage | 7–13 | -0.01 | 24% | 27 Jul → | |
| nuke | 11–13 | -0.07 | 17% | 27 Jul → | |
| nuke | 13–7 | 0.08 | 27% | 19 Jul → | |
| mirage | 5–13 | -0.03 | 41% | 19 Jul → | |
| ancient | 13–6 | -0.02 | 25% | 22 Jun → | |
| nuke | 4–13 | -0.13 | 13% | 22 Jun → | |
| dust2 | 13–6 | -0.02 | 16% | 26 May → | |
| cache | 13–5 | -0.02 | 28% | 15 May → | |
| office | 13–2 | 0.11 | 9% | 26 Apr → | |
| inferno | 15–15 | -0.00 | 18% | 26 Apr → | |
| nuke | 13–3 | -0.01 | 14% | 25 Apr → | |
| mirage | 8–13 | -0.07 | 10% | 16 Apr → | |
| ancient | 13–11 | -0.05 | 17% | 6 Apr → | |
| dust2 | 10–13 | -0.04 | 26% | 10 Jan → | |
| dust2 | 10–13 | 0.01 | 29% | 11 Jun → | |
| mirage | 7–13 | -0.06 | 12% | 11 Jun → | |
| office | 6–13 | -0.06 | 13% | 16 Apr → | |
| mirage | 5–13 | -0.07 | 33% | 2 Apr → | |
| dust2 | 7–13 | 0.04 | 12% | 29 Mar → | |
| nuke | 13–9 | -0.00 | 22% | 29 Mar → | |
| dust2 | 13–8 | 0.02 | 14% | 29 Mar → | |
| nuke | 5–13 | -0.07 | 17% | 28 Mar → | |
| nuke | 13–5 | 0.02 | 18% | 28 Mar → | |
| train | 7–13 | -0.01 | 22% | 28 Mar → | |
| dust2 | 15–15 | -0.02 | 16% | 27 Mar → | |
| train | 13–7 | -0.01 | 11% | 27 Mar → | |
| anubis | 13–4 | 0.01 | 13% | 27 Mar → | |
| ancient | 9–13 | -0.06 | 7% | 27 Mar → | |
| anubis | 15–15 | -0.05 | 33% | 26 Mar → | |
| inferno | 13–9 | 0.00 | 20% | 26 Mar → | |
| mirage | 11–13 | -0.00 | 10% | 26 Mar → | |
| nuke | 13–2 | -0.02 | 16% | 24 Mar → | |
| dust2 | 13–8 | -0.06 | 12% | 24 Mar → | |
| ancient | 13–3 | 0.06 | 17% | 24 Mar → | |
| anubis | 9–13 | -0.08 | 10% | 24 Mar → | |
| mirage | 4–13 | -0.07 | 9% | 24 Mar → | |
| anubis | 11–13 | -0.00 | 29% | 16 Mar → | |
| ancient | 13–8 | -0.03 | 11% | 16 Mar → | |
| inferno | 4–13 | -0.00 | 16% | 16 Mar → | |
| dust2 | 11–13 | -0.03 | 12% | 13 Mar → | |
| inferno | 13–3 | -0.06 | 9% | 13 Mar → | |
| ancient | 5–13 | -0.01 | 13% | 10 Mar → | |
| inferno | 13–11 | 0.04 | 19% | 10 Mar → | |
| anubis | 4–13 | -0.05 | 13% | 10 Mar → | |
| nuke | 13–7 | 0.03 | 12% | 9 Mar → | |
| nuke | 13–10 | -0.06 | 13% | 28 Feb → | |
| mirage | 15–15 | 0.00 | 11% | 27 Feb → | |
| nuke | 13–10 | -0.03 | 19% | 27 Feb → | |
| train | 13–10 | 0.03 | 23% | 27 Feb → | |
| nuke | 8–13 | -0.10 | 5% | 19 Feb → | |
| nuke | 14–16 | -0.06 | 25% | 8 Feb → | |
| train | 6–13 | -0.05 | 16% | 8 Feb → | |
| mirage | 13–7 | -0.06 | 15% | 3 Feb → | |
| nuke | 7–13 | -0.06 | 16% | 3 Feb → | |
| inferno | 16–14 | -0.06 | 13% | 25 Jan → | |
| ancient | 8–13 | -0.08 | 3% | 19 Jan → | |
| vertigo | 9–13 | -0.02 | 11% | 19 Jan → | |
| dust2 | 5–13 | -0.03 | 21% | 18 Jan → | |
| anubis | 11–13 | -0.03 | 9% | 18 Jan → | |
| ancient | 8–13 | -0.07 | 4% | 17 Jan → | |
| mirage | 13–6 | 0.02 | 19% | 17 Jan → | |
| nuke | 13–5 | 0.01 | 10% | 17 Jan → | |
| nuke | 13–6 | -0.03 | 22% | 16 Jan → | |
| dust2 | 5–4 | 0.06 | 21% | 16 Jan → | |
| anubis | 11–13 | -0.06 | 27% | 14 Jan → | |
| ancient | 13–3 | -0.04 | 16% | 14 Dec → | |
| dust2 | 11–13 | 0.01 | 24% | 14 Dec → | |
| nuke | 7–13 | -0.01 | 16% | 14 Dec → | |
| anubis | 11–13 | -0.04 | 22% | 11 Dec → | |
| nuke | 15–15 | -0.03 | 10% | 5 Dec → | |
| mirage | 10–13 | 0.02 | 22% | 5 Dec → | |
| dust2 | 13–11 | -0.04 | 20% | 5 Dec → | |
| ancient | 11–13 | 0.00 | 11% | 19 Nov → | |
| dust2 | 13–10 | -0.07 | 11% | 19 Nov → | |
| nuke | 8–13 | -0.05 | 21% | 21 Oct → | |
| anubis | 13–16 | -0.05 | 3% | 14 Oct → | |
| mirage | 13–6 | 0.04 | 15% | 29 Sept → | |
| nuke | 16–14 | -0.06 | 7% | 6 Aug → | |
| ancient | 13–10 | -0.04 | 11% | 26 Jul → | |
| nuke | 6–13 | -0.05 | 10% | 25 Jul → | |
| vertigo | 13–8 | -0.04 | 9% | 8 Jul → | |
| inferno | 1–13 | -0.07 | 8% | 2 Jul → | |
| anubis | 13–1 | 0.03 | 14% | 2 Jul → | |
| anubis | 13–10 | 0.05 | 14% | 30 Jun → | |
| thera | 13–4 | -0.05 | 7% | 29 Jun → | |
| mills | 13–7 | -0.02 | 19% | 29 Jun → | |
| vertigo | 15–15 | -0.04 | 5% | 27 Jun → | |
| nuke | 11–13 | -0.09 | 7% | 27 Jun → | |
| thera | 13–5 | 0.08 | 15% | 26 Jun → | |
| mills | 7–13 | -0.05 | 8% | 26 Jun → | |
| vertigo | 16–13 | 0.04 | 18% | 25 Jun → | |
| nuke | 9–13 | -0.12 | 10% | 25 Jun → | |
| anubis | 8–13 | -0.05 | 10% | 24 Jun → | |
| inferno | 8–13 | -0.07 | 9% | 24 Jun → | |
| inferno | 8–13 | -0.03 | 7% | 17 Jun → | |
| anubis | 5–13 | -0.04 | 8% | 17 Jun → | |
| anubis | 11–13 | -0.03 | 6% | 16 Jun → | |
| mirage | 13–11 | 0.06 | 10% | 26 May → |
Match data via Leetify.
