⭐ — CS2 Stats
AF76561199082494853[U:1:1122229125]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 49.8% | 52.8% |
| Shot accuracy | 7.4% | 13.7% |
| Kill/death ratio | 0.90 | 1.08 |
| Match win rate | 52.1% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashes
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 90% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning 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
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 574ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 30 | 15–15 | 50% | 0.00 | |
| A | 28 | 17–11 | 61% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| D | 9 | 2–7 | 22% | -0.02 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1371 | 52% | 0.99 | 15.6 |
| Ancient | 884 | 49% | 1.00 | 16.1 |
| Dust2 | 586 | 50% | 0.94 | 15.0 |
| Anubis | 563 | 49% | 0.97 | 15.7 |
| Nuke | 562 | 54% | 1.01 | 16.3 |
| Vertigo | 218 | 49% | 0.97 | 15.8 |
| Overpass | 143 | 49% | 1.11 | 16.5 |
| Inferno | 117 | 49% | 0.94 | 15.3 |
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 26.6667% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.02 | 21% | 24 Aug → | ||
| 7–13 | -0.01 | 18% | 22 Aug → | ||
| 13–5 | 0.06 | 17% | 21 Aug → | ||
| 16–12 | 0.03 | 15% | 21 Aug → | ||
| 3–13 | 0.02 | 32% | 20 Aug → | ||
| 8–13 | -0.01 | 15% | 20 Aug → | ||
| 13–4 | 0.13 | 25% | 20 Aug → | ||
| 13–10 | -0.01 | 16% | 13 Aug → | ||
| 4–13 | -0.03 | 11% | 13 Aug → | ||
| 13–9 | -0.04 | 34% | 12 Aug → | ||
| 13–4 | -0.01 | 31% | 12 Aug → | ||
| 10–13 | -0.05 | 25% | 11 Aug → | ||
| 13–7 | 0.06 | 28% | 11 Aug → | ||
| 6–13 | 0.07 | 21% | 11 Aug → | ||
| 13–10 | -0.03 | 29% | 10 Aug → | ||
| 11–13 | -0.00 | 26% | 9 Aug → | ||
| 13–8 | 0.03 | 17% | 9 Aug → | ||
| 10–13 | -0.02 | 12% | 8 Aug → | ||
| 11–13 | -0.00 | 30% | 7 Aug → | ||
| 9–13 | -0.05 | 33% | 4 Aug → | ||
| 13–11 | -0.05 | 22% | 4 Aug → | ||
| 9–13 | 0.02 | 30% | 18 Jul → | ||
| 16–19 | -0.06 | 21% | 17 Jul → | ||
| 13–9 | -0.00 | 15% | 15 Jul → | ||
| 13–6 | 0.05 | 29% | 1 Jul → | ||
| 16–13 | 0.09 | 33% | 26 Jun → | ||
| 11–13 | -0.03 | 23% | 20 Jun → | ||
| 13–16 | -0.07 | 15% | 19 Jun → | ||
| 5–13 | -0.07 | 29% | 14 Jun → | ||
| 13–8 | 0.06 | 32% | 13 Jun → | ||
| 13–9 | 0.07 | 29% | 12 Jun → | ||
| 5–13 | -0.08 | 10% | 3 Jun → | ||
| 13–11 | -0.01 | 19% | 19 May → | ||
| 10–13 | 0.06 | 18% | 12 May → | ||
| 17–19 | -0.01 | 11% | 7 May → | ||
| 13–11 | -0.01 | 24% | 2 May → | ||
| 4–13 | -0.05 | 21% | 1 May → | ||
| 13–10 | -0.03 | 18% | 1 May → | ||
| 13–7 | 0.11 | 21% | 30 Apr → | ||
| 11–13 | 0.03 | 12% | 30 Apr → | ||
| 13–11 | -0.01 | 17% | 30 Apr → | ||
| 10–13 | -0.03 | 19% | 29 Apr → | ||
| 13–8 | -0.02 | 19% | 28 Apr → | ||
| 16–14 | 0.02 | 14% | 28 Apr → | ||
| 10–13 | -0.02 | 32% | 28 Apr → | ||
| 13–6 | 0.04 | 20% | 26 Apr → | ||
| 13–10 | -0.01 | 18% | 25 Apr → | ||
| 8–13 | -0.05 | 14% | 24 Apr → | ||
| 14–16 | 0.03 | 20% | 20 Apr → | ||
| 13–9 | -0.01 | 32% | 15 Apr → | ||
| 14–16 | 0.07 | 10% | 14 Apr → | ||
| 9–13 | -0.06 | 26% | 11 Apr → | ||
| 14–16 | -0.02 | 16% | 9 Apr → | ||
| 13–9 | -0.05 | 38% | 4 Apr → | ||
| 11–13 | -0.01 | 17% | 4 Apr → | ||
| 2–13 | -0.06 | 25% | 3 Apr → | ||
| 19–16 | 0.03 | 19% | 1 Apr → | ||
| 13–2 | 0.01 | 30% | 24 Mar → | ||
| 4–13 | -0.06 | 14% | 15 Mar → | ||
| 13–8 | -0.01 | 21% | 28 Feb → | ||
| 13–3 | 0.06 | 41% | 23 Feb → | ||
| 10–13 | -0.03 | 20% | 22 Feb → | ||
| 13–3 | 0.04 | 17% | 21 Feb → | ||
| 7–13 | -0.08 | 16% | 19 Feb → | ||
| 13–11 | 0.04 | 21% | 15 Feb → | ||
| 9–13 | 0.10 | 36% | 30 Jan → | ||
| 8–1 | 0.02 | 38% | 30 Jan → | ||
| 5–8 | -0.15 | 0% | 28 Jan → | ||
| 2–13 | -0.02 | 21% | 22 Jan → | ||
| 13–11 | -0.02 | 18% | 19 Jan → | ||
| 7–13 | -0.02 | 10% | 19 Jan → | ||
| 5–13 | 0.02 | 21% | 10 Jan → | ||
| 13–11 | 0.03 | 23% | 29 Nov → | ||
| 13–11 | -0.02 | 16% | 19 Nov → | ||
| 6–13 | -0.01 | 26% | 19 Nov → | ||
| 13–8 | -0.01 | 16% | 13 Nov → | ||
| 13–4 | 0.01 | 24% | 10 Nov → | ||
| 11–13 | -0.01 | 19% | 5 Nov → | ||
| 13–10 | 0.04 | 19% | 4 Nov → | ||
| 16–14 | 0.05 | 20% | 3 Nov → | ||
| 13–10 | -0.03 | 16% | 2 Nov → | ||
| 13–10 | 0.12 | 19% | 2 Nov → | ||
| 10–13 | 0.00 | 28% | 27 Oct → | ||
| 8–13 | -0.00 | 17% | 26 Oct → | ||
| 13–3 | 0.07 | 12% | 26 Oct → | ||
| 13–6 | 0.06 | 22% | 26 Oct → | ||
| 13–11 | 0.16 | 18% | 26 Oct → | ||
| 7–13 | -0.10 | 19% | 25 Oct → | ||
| 7–6 | 0.10 | 20% | 24 Oct → | ||
| 9–13 | 0.02 | 23% | 3 Oct → | ||
| 13–8 | 0.01 | 21% | 2 Oct → | ||
| 13–9 | 0.06 | 20% | 30 Sept → | ||
| 8–13 | 0.02 | 25% | 30 Sept → | ||
| 13–8 | -0.01 | 23% | 30 Sept → | ||
| 4–13 | -0.03 | 38% | 26 Sept → | ||
| 3–13 | -0.09 | 17% | 25 Sept → | ||
| 17–19 | -0.01 | 22% | 25 Sept → | ||
| 17–19 | 0.03 | 17% | 24 Sept → | ||
| 13–7 | 0.07 | 20% | 24 Sept → | ||
| 5–13 | -0.07 | 5% | 24 Sept → |
Match data via Leetify.