fei — CS2 Stats
76561199184938317[U:1:1224672589]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 58.6% | 41.4% | 44.2% | above |
| Shot accuracy | 4.6% | 9.0% | 11.6% | 7.0% short |
| Kill/death ratio | 0.96 | 0.97 | 1.03 | 0.07 short |
| Match win rate | 48.6% | 43.7% | 45.2% | above |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple band 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: +20pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 86% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower utility contribution; 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
Areas to improve
Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 615ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 inferno | D | 23 | 7–16 | 30% | -0.02 |
 mirage | B | 22 | 11–11 | 50% | -0.02 |
 nuke | B | 14 | 7–7 | 50% | -0.03 |
 train | A | 10 | 6–4 | 60% | -0.01 |
 cache | D | 9 | 3–6 | 33% | -0.02 |
 overpass | A | 8 | 5–3 | 63% | -0.02 |
 ancient | A | 7 | 4–3 | 57% | -0.00 |
 dust2 | S | 5 | 4–1 | 80% | 0.01 |
 vertigo | — | 1 | 1–0 | 100% | -0.05 |
 anubis | — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Inferno 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 2 | 50% | 0.63 | 11.0 |
| Inferno | 1 | 100% | 0.88 | 15.0 |
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.
- 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 35.7069% — 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.
30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| overpass | 13–8 | 0.00 | 29% | 28 Aug → | |
| nuke | 13–10 | -0.03 | 41% | 28 Aug → | |
| inferno | 8–13 | -0.06 | 45% | 27 Aug → | |
| mirage | 2–13 | -0.05 | 17% | 27 Aug → | |
| mirage | 13–10 | -0.01 | 27% | 26 Aug → | |
| nuke | 7–13 | -0.06 | 25% | 26 Aug → | |
| vertigo | 13–6 | -0.05 | 45% | 25 Aug → | |
| inferno | 13–4 | 0.09 | 38% | 25 Aug → | |
| cache | 11–13 | -0.04 | 28% | 25 Aug → | |
| inferno | 13–6 | 0.00 | 52% | 24 Aug → | |
| nuke | 6–13 | -0.11 | 24% | 24 Aug → | |
| ancient | 13–6 | 0.00 | 33% | 24 Aug → | |
| mirage | 13–11 | -0.03 | 20% | 24 Aug → | |
| inferno | 4–13 | -0.09 | 29% | 24 Aug → | |
| mirage | 13–5 | 0.05 | 29% | 23 Aug → | |
| dust2 | 8–13 | -0.03 | 43% | 23 Aug → | |
| ancient | 7–13 | -0.03 | 18% | 23 Aug → | |
| cache | 6–13 | 0.01 | 12% | 23 Aug → | |
| mirage | 11–13 | -0.06 | 26% | 23 Aug → | |
| overpass | 13–4 | 0.07 | 26% | 23 Aug → | |
| ancient | 11–13 | 0.05 | 25% | 21 Aug → | |
| mirage | 2–13 | -0.07 | 18% | 21 Aug → | |
| inferno | 11–13 | -0.04 | 25% | 21 Aug → | |
| mirage | 2–13 | -0.04 | 29% | 21 Aug → | |
| inferno | 5–13 | -0.07 | 21% | 21 Aug → | |
| cache | 13–7 | -0.03 | 23% | 21 Aug → | |
| nuke | 12–12 | -0.04 | 24% | 20 Aug → | |
| mirage | 13–7 | 0.00 | 31% | 20 Aug → | |
| nuke | 13–8 | -0.02 | 11% | 20 Aug → | |
| cache | 10–13 | 0.03 | 38% | 19 Aug → | |
| anubis | 10–13 | 0.04 | 29% | 19 Aug → | |
| train | 9–4 | -0.06 | 41% | 19 Aug → | |
| cache | 13–6 | -0.05 | 32% | 19 Aug → | |
| nuke | 11–13 | 0.04 | 28% | 18 Aug → | |
| ancient | 2–13 | -0.00 | 31% | 18 Aug → | |
| cache | 4–13 | 0.05 | 33% | 18 Aug → | |
| mirage | 5–13 | -0.05 | 32% | 18 Aug → | |
| cache | 13–8 | -0.02 | 28% | 18 Aug → | |
| mirage | 15–15 | 0.00 | 32% | 18 Aug → | |
| nuke | 13–6 | -0.02 | 18% | 18 Aug → | |
| dust2 | 13–11 | -0.04 | 19% | 17 Aug → | |
| nuke | 8–13 | 0.01 | 24% | 17 Aug → | |
| ancient | 16–14 | -0.01 | 20% | 17 Aug → | |
| mirage | 13–9 | 0.07 | 30% | 17 Aug → | |
| dust2 | 13–6 | -0.01 | 35% | 17 Aug → | |
| nuke | 9–1 | 0.11 | 27% | 17 Aug → | |
| mirage | 8–13 | 0.04 | 37% | 17 Aug → | |
| nuke | 13–10 | -0.02 | 21% | 16 Aug → | |
| inferno | 6–13 | 0.02 | 11% | 16 Aug → | |
| inferno | 7–13 | 0.01 | 10% | 16 Aug → | |
| mirage | 8–13 | -0.06 | 27% | 15 Aug → | |
| inferno | 8–13 | 0.06 | 35% | 14 Aug → | |
| train | 13–10 | -0.03 | 35% | 14 Aug → | |
| cache | 2–13 | -0.05 | 21% | 14 Aug → | |
| inferno | 13–7 | -0.02 | 29% | 14 Aug → | |
| train | 13–2 | 0.04 | 23% | 14 Aug → | |
| mirage | 13–4 | -0.02 | 30% | 14 Aug → | |
| inferno | 4–13 | -0.10 | 10% | 14 Aug → | |
| overpass | 3–13 | -0.09 | 20% | 14 Aug → | |
| mirage | 7–13 | -0.01 | 38% | 13 Aug → | |
| train | 13–10 | -0.05 | 35% | 13 Aug → | |
| inferno | 8–13 | -0.02 | 71% | 13 Aug → | |
| overpass | 12–12 | -0.04 | 25% | 13 Aug → | |
| nuke | 5–13 | -0.07 | 30% | 13 Aug → | |
| mirage | 13–9 | 0.00 | 37% | 13 Aug → | |
| overpass | 10–1 | -0.03 | 29% | 12 Aug → | |
| inferno | 13–8 | -0.02 | 50% | 12 Aug → | |
| train | 6–13 | -0.07 | 39% | 12 Aug → | |
| inferno | 8–13 | -0.03 | 26% | 10 Aug → | |
| mirage | 4–13 | 0.05 | 29% | 10 Aug → | |
| cache | 6–13 | -0.04 | 27% | 10 Aug → | |
| ancient | 13–9 | -0.02 | 42% | 10 Aug → | |
| dust2 | 13–6 | 0.09 | 26% | 10 Aug → | |
| inferno | 10–13 | 0.01 | 54% | 10 Aug → | |
| train | 12–12 | -0.01 | 33% | 10 Aug → | |
| mirage | 13–5 | -0.03 | 67% | 10 Aug → | |
| nuke | 2–13 | -0.16 | 8% | 9 Aug → | |
| inferno | 12–12 | -0.05 | 44% | 9 Aug → | |
| overpass | 13–11 | -0.03 | 26% | 9 Aug → | |
| nuke | 13–5 | 0.03 | 41% | 9 Aug → | |
| train | 13–9 | 0.02 | 27% | 8 Aug → | |
| mirage | 13–11 | -0.08 | 17% | 7 Aug → | |
| inferno | 3–13 | -0.13 | 23% | 7 Aug → | |
| train | 3–0 | 0.01 | 25% | 7 Aug → | |
| mirage | 8–13 | -0.02 | 22% | 7 Aug → | |
| nuke | 13–5 | -0.04 | 46% | 7 Aug → | |
| inferno | 12–12 | -0.04 | 19% | 7 Aug → | |
| overpass | 13–6 | -0.02 | 20% | 7 Aug → | |
| inferno | 13–6 | 0.06 | 44% | 1 Aug → | |
| train | 12–12 | 0.06 | 52% | 30 Jul → | |
| overpass | 10–13 | -0.06 | 13% | 25 Jul → | |
| train | 10–13 | -0.03 | 39% | 25 Jul → | |
| mirage | 13–7 | -0.04 | 14% | 25 Jul → | |
| inferno | 13–11 | -0.03 | 36% | 24 Jul → | |
| inferno | 13–8 | 0.04 | 26% | 22 Jul → | |
| inferno | 2–7 | -0.08 | 0% | 23 Mar → | |
| dust2 | 13–9 | 0.06 | 18% | 14 Dec → | |
| ancient | 10–5 | -0.02 | 36% | 8 Dec → | |
| mirage | 13–6 | -0.04 | 7% | 28 Nov → | |
| inferno | 9–13 | -0.01 | 32% | 24 Nov → |
Match data via Leetify.