Felguinho — CS2 Stats
EG76561198347929166[U:1:387663438]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=2,911), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 53.6% | 48.4% | 51.7% | above |
| Shot accuracy | 16.1% | 13.2% | 13.8% | above |
| Kill/death ratio | 0.88 | 1.08 | 1.09 | 0.21 short |
| Match win rate | 52.5% | 47.0% | 48.7% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 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: -10pp win rate · +0.00 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 ropz 84% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: higher opening-fight frequency; 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. 679ms 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 5.6/10 (Solid), 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 |
|---|---|---|---|---|---|
 ancient | S | 17 | 12–5 | 71% | 0.01 |
 dust2 | B | 15 | 8–7 | 53% | 0.02 |
 mirage | B | 15 | 7–8 | 47% | 0.02 |
 inferno | A | 15 | 9–6 | 60% | 0.02 |
 anubis | A | 12 | 7–5 | 58% | 0.00 |
 train | B | 12 | 6–6 | 50% | 0.01 |
| jura | B | 6 | 3–3 | 50% | 0.04 |
 nuke | — | 4 | 1–3 | 25% | -0.04 |
| grail | — | 2 | 2–0 | 100% | -0.03 |
 cache | — | 1 | 0–1 | 0% | 0.01 |
 vertigo | — | 1 | 0–1 | 0% | 0.18 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Mirage 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 177 | 58% | 1.17 | 16.9 |
| Dust2 | 126 | 54% | 1.05 | 16.3 |
| Mirage | 110 | 43% | 1.12 | 17.2 |
| Inferno | 65 | 60% | 1.17 | 16.2 |
| Anubis | 56 | 46% | 1.00 | 15.7 |
| Train | 34 | 47% | 1.11 | 17.5 |
| Vertigo | 26 | 50% | 1.04 | 16.9 |
| Nuke | 15 | 33% | 0.95 | 13.8 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–9 | -0.00 | 17% | 22 May → | |
| dust2 | 13–0 | -0.02 | 30% | 22 May → | |
| anubis | 11–13 | 0.00 | 22% | 21 May → | |
| mirage | 13–4 | 0.02 | 35% | 21 May → | |
| cache | 11–13 | 0.01 | 11% | 20 May → | |
| dust2 | 13–10 | -0.01 | 16% | 19 May → | |
| dust2 | 13–3 | 0.29 | 57% | 19 May → | |
| anubis | 13–8 | 0.04 | 25% | 14 May → | |
| mirage | 14–16 | -0.03 | 27% | 28 Apr → | |
| dust2 | 4–13 | -0.02 | 34% | 13 Apr → | |
| mirage | 13–11 | -0.03 | 14% | 29 Jan → | |
| anubis | 13–4 | -0.02 | 29% | 29 Jan → | |
| inferno | 8–8 | 0.06 | 18% | 10 Sept → | |
| dust2 | 13–4 | -0.03 | 10% | 3 Sept → | |
| jura | 13–7 | 0.05 | 30% | 30 Jul → | |
| jura | 13–5 | 0.08 | 27% | 30 Jul → | |
| inferno | 11–6 | 0.07 | 29% | 28 Jul → | |
| train | 9–13 | 0.01 | 24% | 28 Jul → | |
| train | 13–6 | 0.04 | 17% | 16 Jul → | |
| train | 13–5 | 0.04 | 20% | 16 Jul → | |
| dust2 | 2–13 | -0.02 | 8% | 14 Jul → | |
| inferno | 10–8 | -0.03 | 15% | 10 Jul → | |
| ancient | 6–13 | -0.08 | 7% | 10 Jul → | |
| ancient | 13–2 | 0.10 | 23% | 9 Jul → | |
| ancient | 13–6 | 0.04 | 12% | 9 Jul → | |
| mirage | 13–10 | 0.00 | 28% | 3 Jul → | |
| grail | 13–11 | 0.02 | 31% | 3 Jul → | |
| grail | 13–8 | -0.07 | 33% | 3 Jul → | |
| inferno | 9–13 | -0.05 | 24% | 2 Jul → | |
| anubis | 13–3 | 0.06 | 25% | 25 Jun → | |
| anubis | 13–4 | -0.07 | 23% | 25 Jun → | |
| dust2 | 3–13 | -0.10 | 14% | 22 Jun → | |
| nuke | 2–9 | -0.15 | 18% | 18 Jun → | |
| inferno | 16–14 | -0.02 | 26% | 18 Jun → | |
| inferno | 13–11 | -0.00 | 30% | 17 Jun → | |
| ancient | 4–13 | -0.02 | 29% | 14 Jun → | |
| jura | 7–13 | -0.00 | 15% | 4 Jun → | |
| jura | 13–11 | 0.04 | 30% | 4 Jun → | |
| jura | 10–13 | 0.00 | 24% | 4 Jun → | |
| jura | 6–13 | 0.08 | 21% | 4 Jun → | |
| mirage | 13–11 | 0.09 | 20% | 28 May → | |
| inferno | 16–12 | 0.00 | 15% | 28 May → | |
| nuke | 5–9 | -0.05 | 26% | 23 May → | |
| train | 13–10 | 0.00 | 39% | 23 May → | |
| train | 7–13 | -0.09 | 22% | 23 May → | |
| train | 3–13 | 0.01 | 39% | 23 May → | |
| inferno | 9–6 | -0.03 | 25% | 16 May → | |
| inferno | 9–7 | 0.07 | 28% | 16 May → | |
| anubis | 9–13 | 0.02 | 22% | 14 May → | |
| train | 13–9 | -0.01 | 20% | 14 May → | |
| inferno | 9–6 | 0.09 | 44% | 13 May → | |
| inferno | 9–1 | 0.22 | 32% | 8 May → | |
| ancient | 3–10 | -0.07 | 56% | 7 May → | |
| inferno | 2–9 | -0.02 | 27% | 5 May → | |
| dust2 | 13–2 | 0.07 | 17% | 5 May → | |
| dust2 | 13–11 | 0.11 | 32% | 30 Apr → | |
| anubis | 13–10 | 0.01 | 26% | 30 Apr → | |
| anubis | 4–13 | -0.04 | 17% | 24 Apr → | |
| ancient | 13–10 | -0.05 | 24% | 8 Apr → | |
| train | 13–10 | 0.11 | 29% | 24 Mar → | |
| mirage | 1–13 | -0.07 | 18% | 5 Mar → | |
| dust2 | 8–13 | 0.04 | 33% | 5 Mar → | |
| ancient | 10–13 | 0.02 | 26% | 5 Mar → | |
| anubis | 13–11 | -0.01 | 7% | 21 Feb → | |
| mirage | 8–13 | -0.02 | 20% | 19 Feb → | |
| dust2 | 13–8 | 0.01 | 26% | 19 Feb → | |
| mirage | 13–10 | 0.06 | 26% | 10 Feb → | |
| mirage | 5–13 | 0.10 | 26% | 6 Feb → | |
| dust2 | 8–13 | 0.08 | 30% | 6 Feb → | |
| anubis | 6–13 | 0.07 | 26% | 5 Feb → | |
| ancient | 13–9 | 0.02 | 22% | 5 Feb → | |
| inferno | 11–13 | -0.03 | 18% | 4 Feb → | |
| mirage | 9–13 | 0.00 | 35% | 29 Jan → | |
| vertigo | 5–9 | 0.18 | 13% | 27 Jan → | |
| ancient | 13–4 | 0.05 | 27% | 27 Jan → | |
| mirage | 11–13 | -0.02 | 15% | 24 Jan → | |
| ancient | 13–9 | 0.04 | 24% | 22 Jan → | |
| train | 7–13 | 0.03 | 29% | 21 Jan → | |
| ancient | 13–4 | 0.05 | 16% | 21 Jan → | |
| ancient | 13–6 | 0.01 | 13% | 20 Jan → | |
| dust2 | 4–13 | 0.00 | 29% | 11 Jan → | |
| inferno | 3–13 | -0.03 | 22% | 11 Jan → | |
| dust2 | 9–13 | -0.03 | 16% | 8 Jan → | |
| ancient | 13–8 | -0.01 | 20% | 8 Jan → | |
| ancient | 11–13 | 0.00 | 10% | 30 Dec → | |
| mirage | 11–13 | 0.02 | 31% | 26 Dec → | |
| nuke | 13–8 | -0.01 | 22% | 18 Dec → | |
| mirage | 11–13 | 0.01 | 16% | 13 Dec → | |
| mirage | 13–6 | 0.02 | 24% | 12 Dec → | |
| ancient | 13–10 | 0.00 | 17% | 12 Dec → | |
| train | 11–13 | 0.03 | 17% | 12 Dec → | |
| nuke | 2–13 | 0.06 | 22% | 11 Dec → | |
| train | 13–4 | 0.06 | 27% | 11 Dec → | |
| anubis | 11–13 | -0.04 | 14% | 11 Dec → | |
| dust2 | 13–11 | -0.03 | 32% | 6 Dec → | |
| mirage | 13–7 | 0.09 | 23% | 30 Nov → | |
| anubis | 13–5 | -0.01 | 19% | 30 Nov → | |
| train | 9–13 | -0.07 | 20% | 30 Nov → | |
| inferno | 13–0 | 0.01 | 8% | 28 Nov → | |
| ancient | 16–13 | 0.01 | 18% | 26 Nov → |
Match data via Leetify.
