gurney — CS2 Stats
76561198180486901[U:1:220221173]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.03 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 NiKo 84% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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. 552ms 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 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| D | 33 | 11–22 | 33% | -0.02 | |
| B | 20 | 9–11 | 45% | -0.01 | |
| C | 19 | 8–11 | 42% | -0.01 | |
| A | 15 | 9–6 | 60% | 0.02 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| D | 5 | 1–4 | 20% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 75 | 55% | 1.39 | 18.0 |
| Inferno | 50 | 60% | 1.40 | 17.7 |
| Dust2 | 49 | 57% | 1.12 | 16.5 |
| Vertigo | 47 | 53% | 1.33 | 19.3 |
| Nuke | 46 | 57% | 1.23 | 18.1 |
| Anubis | 29 | 41% | 1.14 | 16.7 |
| Ancient | 20 | 30% | 0.87 | 14.4 |
| Cache | 12 | 58% | 1.10 | 17.2 |
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 0.4779 — 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 30.1787% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.03 | 13% | 25 Aug → | ||
| 11–13 | -0.02 | 21% | 25 Aug → | ||
| 13–3 | 0.14 | 33% | 25 Aug → | ||
| 11–13 | -0.02 | 21% | 18 Aug → | ||
| 5–13 | -0.02 | 23% | 14 Aug → | ||
| 14–16 | -0.02 | 13% | 1 Aug → | ||
| 9–4 | 0.21 | 37% | 1 Aug → | ||
| 5–13 | -0.06 | 15% | 30 Jul → | ||
| 22–18 | -0.02 | 27% | 29 Jul → | ||
| 9–13 | 0.01 | 29% | 27 Jul → | ||
| 14–16 | 0.04 | 23% | 25 Jul → | ||
| 13–0 | 0.08 | 33% | 25 Jul → | ||
| 13–6 | 0.04 | 13% | 25 Jul → | ||
| 11–13 | -0.01 | 43% | 25 Jul → | ||
| 8–13 | -0.01 | 16% | 24 Jul → | ||
| 5–13 | -0.03 | 24% | 24 Jul → | ||
| 4–13 | -0.01 | 24% | 24 Jul → | ||
| 5–13 | -0.06 | 19% | 23 Jul → | ||
| 11–13 | -0.06 | 21% | 23 Jul → | ||
| 4–13 | -0.07 | 16% | 16 Jul → | ||
| 11–13 | 0.03 | 12% | 16 Jul → | ||
| 2–13 | -0.02 | 16% | 15 Jul → | ||
| 13–11 | 0.02 | 24% | 15 Jul → | ||
| 4–13 | -0.09 | 11% | 14 Jul → | ||
| 13–9 | -0.04 | 19% | 12 Jul → | ||
| 4–13 | -0.04 | 17% | 12 Jul → | ||
| 19–15 | -0.05 | 15% | 7 Jul → | ||
| 13–5 | 0.03 | 34% | 5 Jul → | ||
| 5–13 | -0.03 | 19% | 21 Jun → | ||
| 7–13 | -0.02 | 29% | 20 Jun → | ||
| 13–7 | 0.02 | 20% | 18 Jun → | ||
| 13–9 | 0.03 | 17% | 16 Jun → | ||
| 2–13 | -0.04 | 25% | 15 Jun → | ||
| 13–5 | 0.07 | 25% | 14 Jun → | ||
| 9–13 | -0.01 | 20% | 9 Jun → | ||
| 14–16 | -0.04 | 21% | 7 Jun → | ||
| 12–2 | 0.04 | 22% | 6 Jun → | ||
| 13–9 | 0.02 | 39% | 31 May → | ||
| 6–13 | -0.04 | 30% | 28 May → | ||
| 13–4 | 0.00 | 23% | 26 May → | ||
| 11–13 | 0.02 | 24% | 26 May → | ||
| 3–13 | -0.03 | 13% | 20 May → | ||
| 13–6 | -0.03 | 25% | 18 May → | ||
| 7–13 | -0.06 | 25% | 16 May → | ||
| 15–19 | 0.01 | 32% | 16 May → | ||
| 13–4 | 0.02 | 21% | 16 May → | ||
| 13–16 | 0.09 | 18% | 12 May → | ||
| 13–8 | 0.04 | 26% | 7 May → | ||
| 13–9 | 0.05 | 35% | 6 May → | ||
| 16–19 | 0.03 | 29% | 6 May → | ||
| 0–13 | -0.06 | 0% | 5 May → | ||
| 6–13 | -0.01 | 9% | 5 May → | ||
| 13–9 | -0.05 | 25% | 3 May → | ||
| 2–13 | -0.04 | 17% | 3 May → | ||
| 7–13 | -0.06 | 32% | 2 May → | ||
| 5–13 | 0.07 | 32% | 30 Apr → | ||
| 9–13 | 0.07 | 26% | 23 Apr → | ||
| 8–13 | -0.07 | 26% | 23 Apr → | ||
| 16–13 | 0.08 | 33% | 23 Apr → | ||
| 5–13 | -0.04 | 8% | 23 Apr → | ||
| 2–13 | -0.07 | 15% | 22 Apr → | ||
| 11–13 | -0.00 | 0% | 22 Apr → | ||
| 3–13 | -0.04 | 26% | 21 Apr → | ||
| 13–10 | -0.05 | 16% | 18 Apr → | ||
| 13–7 | -0.07 | 24% | 18 Apr → | ||
| 15–15 | 0.04 | 24% | 18 Apr → | ||
| 6–13 | -0.02 | 19% | 15 Apr → | ||
| 13–11 | -0.05 | 11% | 14 Apr → | ||
| 13–11 | -0.04 | 36% | 14 Apr → | ||
| 13–10 | 0.01 | 22% | 14 Apr → | ||
| 9–13 | 0.05 | 20% | 11 Apr → | ||
| 11–13 | -0.04 | 17% | 11 Apr → | ||
| 13–7 | -0.03 | 26% | 10 Apr → | ||
| 9–13 | 0.02 | 25% | 10 Apr → | ||
| 2–13 | -0.01 | 17% | 10 Apr → | ||
| 13–11 | -0.04 | 24% | 9 Apr → | ||
| 9–13 | -0.00 | 34% | 9 Apr → | ||
| 14–16 | 0.04 | 28% | 8 Apr → | ||
| 13–10 | 0.01 | 18% | 8 Apr → | ||
| 10–13 | -0.03 | 18% | 8 Apr → | ||
| 13–7 | -0.03 | 24% | 8 Apr → | ||
| 13–10 | -0.05 | 24% | 8 Apr → | ||
| 16–13 | 0.02 | 23% | 8 Apr → | ||
| 13–8 | 0.07 | 22% | 8 Apr → | ||
| 13–7 | 0.02 | 23% | 7 Apr → | ||
| 13–5 | 0.01 | 7% | 6 Apr → | ||
| 8–13 | 0.02 | 24% | 6 Apr → | ||
| 7–13 | -0.06 | 9% | 6 Apr → | ||
| 10–13 | 0.01 | 26% | 6 Apr → | ||
| 10–13 | -0.03 | 14% | 5 Apr → | ||
| 3–13 | -0.10 | 8% | 5 Apr → | ||
| 13–10 | -0.03 | 19% | 2 Apr → | ||
| 13–4 | -0.02 | 36% | 2 Apr → | ||
| 13–9 | -0.02 | 24% | 2 Apr → | ||
| 9–13 | -0.01 | 38% | 2 Apr → | ||
| 16–14 | 0.01 | 33% | 2 Apr → | ||
| 14–16 | -0.05 | 10% | 1 Apr → | ||
| 5–13 | -0.05 | 19% | 31 Mar → | ||
| 10–13 | -0.01 | 20% | 26 Mar → | ||
| 9–13 | -0.01 | 21% | 25 Mar → |
Match data via Leetify.