2 — CS2 Stats
KG76561199019096547[U:1:1058830819]Steam profile ↗✓ No bans
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 | 53.3% | 52.8% |
| Shot accuracy | 4.7% | 13.7% |
| Kill/death ratio | 1.32 | 1.08 |
| Match win rate | 49.6% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.12 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 Twistzz 81% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 578ms 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 |
|---|---|---|---|---|---|
| A | 27 | 15–12 | 56% | -0.01 | |
| B | 21 | 11–10 | 52% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.00 | |
| A | 9 | 5–4 | 56% | 0.12 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| D | 7 | 1–6 | 14% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| — | 3 | 3–0 | 100% | 0.09 | |
| palais | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass 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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 495 | 52% | 1.06 | 17.2 |
| Anubis | 208 | 53% | 1.05 | 16.3 |
| Dust2 | 191 | 48% | 1.03 | 16.8 |
| Ancient | 155 | 43% | 0.96 | 15.9 |
| Overpass | 56 | 50% | 0.93 | 15.7 |
| Nuke | 50 | 44% | 0.89 | 13.7 |
| Inferno | 46 | 41% | 1.04 | 17.0 |
| Train | 31 | 55% | 0.91 | 15.5 |
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.
- 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 0.4851 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.07 | 17% | 14 Aug → | ||
| 13–9 | -0.01 | 20% | 6 Aug → | ||
| 7–13 | -0.00 | 28% | 1 Aug → | ||
| 9–4 | 0.27 | 50% | 27 Jul → | ||
| 4–9 | 0.01 | 27% | 27 Jul → | ||
| 8–8 | 0.11 | 39% | 27 Jul → | ||
| 9–6 | 0.17 | 16% | 27 Jul → | ||
| 3–9 | -0.04 | 25% | 27 Jul → | ||
| 9–1 | 0.29 | 59% | 27 Jul → | ||
| 9–3 | 0.21 | 18% | 27 Jul → | ||
| 7–1 | -0.04 | 20% | 22 Jul → | ||
| 7–13 | -0.01 | 30% | 22 Jul → | ||
| 13–10 | 0.03 | 27% | 22 Jul → | ||
| 13–8 | 0.01 | 29% | 21 Jul → | ||
| 8–13 | -0.07 | 14% | 21 Jul → | ||
| 13–7 | -0.04 | 7% | 12 May → | ||
| 0–6 | -0.09 | 20% | 12 May → | ||
| 7–13 | -0.02 | 19% | 4 Mar → | ||
| 5–13 | -0.03 | 23% | 22 Feb → | ||
| 10–13 | 0.02 | 24% | 10 Feb → | ||
| 9–1 | 0.31 | 52% | 14 Jan → | ||
| 6–9 | -0.08 | 21% | 14 Jan → | ||
| 7–9 | 0.13 | 33% | 14 Jan → | ||
| 12–12 | 0.03 | 28% | 14 Jan → | ||
| 13–5 | 0.04 | 22% | 14 Jan → | ||
| 12–12 | 0.08 | 17% | 8 Jan → | ||
| 3–7 | -0.09 | 21% | 27 Dec → | ||
| 13–4 | 0.02 | 26% | 24 Dec → | ||
| 2–13 | -0.04 | 28% | 24 Dec → | ||
| 10–13 | -0.04 | 23% | 16 Dec → | ||
| 13–2 | 0.08 | 9% | 24 Nov → | ||
| 9–3 | 0.15 | 27% | 22 Nov → | ||
| 16–13 | -0.03 | 30% | 22 Nov → | ||
| 11–13 | -0.00 | 22% | 20 Nov → | ||
| 13–10 | -0.05 | 13% | 7 Nov → | ||
| 10–13 | -0.04 | 23% | 2 Nov → | ||
| 13–5 | -0.04 | 23% | 31 Oct → | ||
| 13–11 | -0.03 | 17% | 25 Oct → | ||
| 13–6 | 0.01 | 35% | 24 Oct → | ||
| 3–13 | -0.06 | 20% | 23 Oct → | ||
| 5–13 | 0.00 | 38% | 8 Oct → | ||
| 13–8 | 0.03 | 50% | 10 Sept → | ||
| 7–13 | 0.01 | 33% | 28 Aug → | ||
| 4–13 | 0.00 | 21% | 16 Aug → | ||
| 8–13 | -0.01 | 25% | 29 Jul → | ||
| 11–13 | -0.03 | 29% | 28 Jul → | ||
| 13–3 | 0.02 | 33% | 4 Jul → | ||
| 8–13 | -0.03 | 29% | 8 Jun → | ||
| 16–14 | 0.15 | 22% | 2 Jun → | ||
| 3–13 | -0.02 | 36% | 1 Jun → | ||
| 13–4 | 0.09 | 31% | 19 May → | ||
| 13–2 | 0.10 | 28% | 6 May → | ||
| 13–7 | 0.02 | 23% | 6 May → | ||
| 13–2 | -0.09 | 18% | 30 Apr → | ||
| 2–13 | 0.01 | 32% | 11 Apr → | ||
| 9–7 | 0.01 | 28% | 11 Apr → | ||
| 5–13 | -0.07 | 17% | 21 Mar → | ||
| 16–13 | -0.02 | 19% | 21 Mar → | ||
| 10–13 | 0.03 | 21% | 20 Mar → | ||
| 13–5 | 0.10 | 33% | 20 Mar → | ||
| 13–10 | 0.01 | 21% | 20 Mar → | ||
| 13–5 | 0.02 | 34% | 24 Feb → | ||
| 3–9 | -0.03 | 29% | 22 Feb → | ||
| 2–13 | -0.12 | 11% | 21 Feb → | ||
| 13–6 | 0.03 | 25% | 10 Feb → | ||
| 2–13 | -0.08 | 33% | 9 Feb → | ||
| 4–6 | -0.08 | 42% | 9 Feb → | ||
| 13–4 | -0.05 | 42% | 9 Feb → | ||
| 3–13 | -0.11 | 12% | 2 Feb → | ||
| 13–11 | -0.02 | 19% | 1 Feb → | ||
| 13–6 | -0.08 | 22% | 1 Feb → | ||
| 13–4 | 0.07 | 21% | 29 Jan → | ||
| 13–7 | 0.09 | 21% | 26 Jan → | ||
| 1–13 | -0.04 | 44% | 17 Jan → | ||
| 6–13 | -0.05 | 17% | 12 Jan → | ||
| 13–11 | 0.07 | 35% | 11 Jan → | ||
| 2–13 | 0.05 | 33% | 11 Jan → | ||
| 13–5 | -0.04 | 13% | 5 Jan → | ||
| 12–12 | 0.05 | 52% | 2 Jan → | ||
| 12–12 | 0.00 | 34% | 28 Dec → | ||
| 13–8 | 0.04 | 22% | 22 Dec → | ||
| 13–6 | 0.17 | 19% | 18 Dec → | ||
| 16–13 | -0.03 | 22% | 15 Dec → | ||
| 9–0 | 0.05 | 30% | 14 Dec → | ||
| 10–13 | -0.01 | 16% | 12 Dec → | ||
| palais | 5–9 | -0.07 | 22% | 21 Nov → | |
| 9–13 | -0.02 | 16% | 18 Nov → | ||
| 13–8 | -0.03 | 23% | 17 Nov → | ||
| 12–12 | 0.02 | 19% | 14 Nov → | ||
| 9–13 | 0.06 | 20% | 5 Nov → | ||
| 13–4 | 0.12 | 18% | 5 Nov → | ||
| 8–13 | -0.01 | 24% | 28 Oct → | ||
| 13–11 | -0.05 | 32% | 9 Sept → | ||
| 13–6 | 0.07 | 56% | 21 Aug → | ||
| 2–11 | 0.02 | 14% | 7 Aug → | ||
| 5–13 | -0.05 | 18% | 7 Aug → | ||
| 13–5 | -0.00 | 13% | 1 Aug → | ||
| 10–13 | -0.07 | 18% | 20 Jul → | ||
| 5–13 | -0.02 | 8% | 20 Jul → | ||
| 9–13 | -0.10 | 25% | 17 Jul → |
Match data via Leetify.