foxen — CS2 Stats
76561198875171785[U:1:914906057]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 48.0% | 52.0% |
| Shot accuracy | 12.1% | 13.7% |
| Kill/death ratio | 1.09 | 1.08 |
| Match win rate | 48.3% | 48.8% |
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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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 65% on CT to 48% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 567ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | B | 31 | 16–15 | 52% | 0.04 |
 mirage | A | 29 | 16–13 | 55% | 0.04 |
 cache | A | 9 | 5–4 | 56% | 0.08 |
 inferno | D | 7 | 1–6 | 14% | -0.02 |
 ancient | B | 6 | 3–3 | 50% | 0.01 |
 anubis | — | 4 | 0–4 | 0% | -0.01 |
 overpass | — | 3 | 3–0 | 100% | 0.13 |
 nuke | — | 2 | 0–2 | 0% | 0.01 |
 vertigo | — | 2 | 1–1 | 50% | 0.15 |
| office | — | 2 | 1–1 | 50% | -0.03 |
| alpine | — | 2 | 1–1 | 50% | 0.18 |
| warden | — | 2 | 1–1 | 50% | -0.01 |
| italy | — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (14% over 7). 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.
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.
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 | |
|---|---|---|---|---|---|
| inferno | 0–8 | -0.07 | 17% | 24 Aug → | |
| dust2 | 14–16 | 0.07 | 27% | 21 Aug → | |
| anubis | 9–13 | 0.05 | 21% | 19 Aug → | |
| ancient | 0–13 | -0.04 | 17% | 15 Aug → | |
| mirage | 4–1 | 0.04 | 14% | 15 Aug → | |
| mirage | 13–11 | -0.00 | 31% | 15 Aug → | |
| mirage | 13–8 | 0.14 | 27% | 14 Aug → | |
| dust2 | 9–13 | -0.02 | 36% | 14 Aug → | |
| dust2 | 16–14 | 0.11 | 22% | 11 Aug → | |
| dust2 | 13–10 | 0.06 | 18% | 9 Aug → | |
| mirage | 11–13 | 0.11 | 19% | 31 Jul → | |
| dust2 | 6–13 | 0.05 | 51% | 4 Jul → | |
| dust2 | 7–13 | -0.01 | 24% | 30 Jun → | |
| anubis | 2–13 | -0.01 | 24% | 21 Jun → | |
| nuke | 6–13 | 0.03 | 22% | 10 Jun → | |
| dust2 | 1–9 | -0.03 | 29% | 10 Jun → | |
| dust2 | 4–6 | 0.09 | 45% | 7 Jun → | |
| mirage | 13–10 | 0.09 | 40% | 27 May → | |
| cache | 13–1 | 0.09 | 42% | 27 May → | |
| dust2 | 13–10 | -0.03 | 21% | 27 May → | |
| mirage | 4–13 | 0.00 | 22% | 26 May → | |
| cache | 7–13 | 0.03 | 19% | 25 May → | |
| dust2 | 12–12 | 0.11 | 22% | 25 May → | |
| dust2 | 2–3 | 0.07 | 7% | 16 May → | |
| cache | 3–13 | -0.03 | 15% | 15 May → | |
| mirage | 13–11 | 0.05 | 18% | 14 May → | |
| cache | 11–13 | 0.08 | 26% | 7 May → | |
| mirage | 3–13 | 0.08 | 21% | 5 May → | |
| overpass | 12–2 | 0.09 | 28% | 5 May → | |
| dust2 | 13–11 | 0.07 | 22% | 2 May → | |
| mirage | 13–11 | 0.05 | 32% | 2 May → | |
| cache | 13–4 | 0.07 | 17% | 2 May → | |
| dust2 | 13–5 | 0.01 | 19% | 2 May → | |
| cache | 1–4 | -0.01 | 25% | 2 May → | |
| cache | 13–6 | 0.15 | 28% | 2 May → | |
| cache | 13–7 | 0.12 | 39% | 28 Apr → | |
| cache | 13–9 | 0.18 | 33% | 28 Apr → | |
| dust2 | 13–7 | 0.14 | 25% | 28 Apr → | |
| mirage | 8–13 | 0.02 | 25% | 28 Apr → | |
| dust2 | 13–7 | 0.04 | 28% | 25 Apr → | |
| vertigo | 13–7 | 0.24 | 33% | 25 Apr → | |
| anubis | 3–13 | -0.09 | 18% | 22 Apr → | |
| office | 3–12 | -0.04 | 17% | 22 Apr → | |
| dust2 | 13–2 | 0.13 | 27% | 22 Apr → | |
| alpine | 8–13 | 0.11 | 36% | 18 Apr → | |
| warden | 2–8 | 0.02 | 17% | 18 Apr → | |
| warden | 13–1 | -0.03 | 26% | 18 Apr → | |
| mirage | 9–13 | 0.04 | 18% | 18 Apr → | |
| alpine | 13–7 | 0.25 | 32% | 18 Apr → | |
| dust2 | 7–13 | 0.03 | 15% | 18 Apr → | |
| inferno | 6–13 | 0.05 | 25% | 18 Apr → | |
| mirage | 13–5 | 0.03 | 21% | 17 Apr → | |
| dust2 | 9–13 | 0.01 | 37% | 17 Apr → | |
| vertigo | 5–13 | 0.06 | 28% | 17 Apr → | |
| mirage | 9–13 | -0.03 | 19% | 16 Apr → | |
| dust2 | 13–8 | 0.02 | 26% | 14 Apr → | |
| mirage | 3–13 | -0.04 | 10% | 14 Apr → | |
| dust2 | 13–9 | 0.10 | 17% | 14 Apr → | |
| office | 13–11 | -0.01 | 24% | 13 Apr → | |
| dust2 | 4–13 | 0.01 | 16% | 13 Apr → | |
| dust2 | 13–9 | 0.01 | 23% | 11 Apr → | |
| overpass | 13–7 | 0.23 | 24% | 11 Apr → | |
| mirage | 13–8 | 0.08 | 33% | 11 Apr → | |
| dust2 | 12–12 | 0.12 | 29% | 10 Apr → | |
| mirage | 6–13 | 0.08 | 28% | 9 Apr → | |
| inferno | 1–9 | -0.03 | 15% | 7 Apr → | |
| mirage | 13–2 | 0.06 | 20% | 7 Apr → | |
| ancient | 13–9 | 0.03 | 26% | 7 Apr → | |
| mirage | 13–5 | 0.04 | 20% | 4 Apr → | |
| dust2 | 13–7 | 0.05 | 39% | 4 Apr → | |
| inferno | 13–5 | 0.01 | 13% | 3 Apr → | |
| dust2 | 13–7 | -0.00 | 13% | 3 Apr → | |
| ancient | 3–13 | -0.02 | 40% | 3 Apr → | |
| mirage | 13–6 | 0.16 | 18% | 3 Apr → | |
| mirage | 5–13 | 0.10 | 23% | 28 Mar → | |
| italy | 13–4 | 0.09 | 36% | 28 Mar → | |
| dust2 | 13–8 | -0.01 | 34% | 28 Mar → | |
| mirage | 11–13 | -0.01 | 24% | 27 Mar → | |
| mirage | 13–6 | 0.02 | 42% | 27 Mar → | |
| mirage | 13–5 | 0.07 | 56% | 25 Mar → | |
| mirage | 13–11 | -0.03 | 33% | 25 Mar → | |
| mirage | 13–6 | 0.01 | 30% | 24 Mar → | |
| dust2 | 11–13 | 0.05 | 30% | 22 Mar → | |
| dust2 | 13–9 | -0.02 | 19% | 20 Mar → | |
| dust2 | 4–13 | 0.02 | 28% | 18 Mar → | |
| mirage | 11–13 | -0.00 | 30% | 18 Mar → | |
| overpass | 13–8 | 0.07 | 20% | 18 Mar → | |
| dust2 | 15–15 | -0.01 | 21% | 17 Mar → | |
| inferno | 8–13 | -0.05 | 13% | 16 Mar → | |
| ancient | 13–7 | 0.06 | 31% | 16 Mar → | |
| inferno | 6–13 | 0.01 | 39% | 16 Mar → | |
| nuke | 8–13 | -0.01 | 35% | 16 Mar → | |
| inferno | 8–13 | -0.03 | 8% | 13 Mar → | |
| dust2 | 13–8 | 0.02 | 42% | 11 Mar → | |
| ancient | 9–13 | -0.06 | 25% | 11 Mar → | |
| mirage | 8–13 | 0.02 | 15% | 11 Mar → | |
| mirage | 1–3 | 0.05 | 36% | 11 Mar → | |
| anubis | 9–13 | 0.02 | 17% | 10 Mar → | |
| ancient | 13–6 | 0.11 | 34% | 9 Mar → | |
| mirage | 13–3 | 0.01 | 29% | 9 Mar → |
Match data via Leetify.