fyn — CS2 Stats
76561198336140015[U:1:375874287]VAC banned
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 49.9% | 42.1% | 42.5% | above |
| Shot accuracy | 17.0% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.16 | 0.99 | 0.99 | above |
| Match win rate | 45.9% | 43.9% | 44.2% | above |
Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 jL 93% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: 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. 618ms 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 6.7/10 (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 |
|---|---|---|---|---|---|
| A | 34 | 21–13 | 62% | 0.03 | |
| B | 25 | 12–13 | 48% | 0.03 | |
| C | 18 | 8–10 | 44% | 0.00 | |
| A | 11 | 7–4 | 64% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.07 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% 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 resultsWWWWL
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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | 0.11 | 26% | 9 Jul → | ||
| 13–4 | 0.01 | 15% | 9 Jul → | ||
| 5–13 | -0.07 | 12% | 9 Jul → | ||
| 13–1 | 0.05 | 14% | 8 Jul → | ||
| 13–5 | 0.06 | 13% | 8 Jul → | ||
| 13–6 | -0.04 | 14% | 8 Jul → | ||
| 9–13 | 0.07 | 17% | 8 Jul → | ||
| 13–5 | 0.06 | 12% | 8 Jul → | ||
| 13–10 | 0.03 | 22% | 8 Jul → | ||
| 13–8 | 0.06 | 24% | 8 Jul → | ||
| 8–13 | 0.03 | 11% | 1 Jul → | ||
| 11–13 | 0.08 | 17% | 1 Jul → | ||
| 0–10 | -0.06 | 13% | 1 Jul → | ||
| 15–15 | 0.04 | 14% | 1 Jul → | ||
| 2–13 | 0.02 | 23% | 1 Jul → | ||
| 13–11 | 0.07 | 15% | 30 Jun → | ||
| 13–11 | 0.01 | 28% | 30 Jun → | ||
| 13–3 | 0.09 | 25% | 29 Jun → | ||
| 9–13 | 0.09 | 29% | 29 Jun → | ||
| 13–8 | 0.10 | 19% | 29 Jun → | ||
| 5–13 | 0.00 | 10% | 28 Jun → | ||
| 13–9 | -0.01 | 16% | 28 Jun → | ||
| 9–13 | 0.01 | 19% | 28 Jun → | ||
| 9–13 | -0.01 | 28% | 28 Jun → | ||
| 13–3 | 0.07 | 17% | 26 Jun → | ||
| 16–13 | 0.05 | 25% | 24 Jun → | ||
| 13–7 | 0.01 | 14% | 24 Jun → | ||
| 13–10 | 0.03 | 14% | 24 Jun → | ||
| 13–6 | 0.03 | 20% | 23 Jun → | ||
| 1–13 | -0.02 | 6% | 23 Jun → | ||
| 13–8 | 0.04 | 14% | 21 Jun → | ||
| 13–2 | 0.08 | 21% | 21 Jun → | ||
| 8–13 | 0.01 | 11% | 21 Jun → | ||
| 13–7 | 0.08 | 13% | 21 Jun → | ||
| 4–13 | -0.06 | 12% | 21 Jun → | ||
| 16–13 | -0.00 | 17% | 21 Jun → | ||
| 3–13 | -0.11 | 16% | 20 Jun → | ||
| 13–2 | 0.21 | 11% | 20 Jun → | ||
| 8–13 | -0.01 | 9% | 19 Jun → | ||
| 13–2 | 0.03 | 20% | 19 Jun → | ||
| 10–13 | 0.01 | 12% | 19 Jun → | ||
| 13–5 | 0.16 | 16% | 19 Jun → | ||
| 13–8 | -0.04 | 18% | 17 Jun → | ||
| 6–13 | -0.02 | 6% | 17 Jun → | ||
| 3–13 | -0.00 | 16% | 17 Jun → | ||
| 11–13 | 0.01 | 15% | 16 Jun → | ||
| 3–13 | 0.01 | 24% | 16 Jun → | ||
| 3–13 | 0.05 | 10% | 16 Jun → | ||
| 13–11 | -0.03 | 10% | 16 Jun → | ||
| 6–13 | 0.10 | 17% | 16 Jun → | ||
| 5–13 | 0.08 | 21% | 15 Jun → | ||
| 13–4 | 0.05 | 15% | 15 Jun → | ||
| 4–13 | 0.10 | 18% | 15 Jun → | ||
| 13–9 | 0.13 | 17% | 15 Jun → | ||
| 11–13 | 0.01 | 21% | 14 Jun → | ||
| 13–11 | -0.02 | 23% | 14 Jun → | ||
| 4–13 | 0.01 | 17% | 14 Jun → | ||
| 8–13 | 0.02 | 17% | 14 Jun → | ||
| 11–13 | 0.03 | 9% | 14 Jun → | ||
| 13–3 | 0.02 | 30% | 14 Jun → | ||
| 13–9 | -0.05 | 29% | 13 Jun → | ||
| 10–13 | -0.05 | 10% | 13 Jun → | ||
| 13–7 | 0.02 | 13% | 13 Jun → | ||
| 5–13 | 0.01 | 17% | 13 Jun → | ||
| 13–4 | -0.01 | 13% | 13 Jun → | ||
| 4–13 | -0.02 | 22% | 13 Jun → | ||
| 7–13 | -0.07 | 15% | 12 Jun → | ||
| 7–13 | 0.01 | 19% | 12 Jun → | ||
| 3–13 | -0.01 | 10% | 10 Jun → | ||
| 11–13 | 0.00 | 22% | 10 Jun → | ||
| 13–6 | 0.00 | 18% | 10 Jun → | ||
| 10–13 | 0.08 | 16% | 9 Jun → | ||
| 13–6 | 0.06 | 17% | 9 Jun → | ||
| 13–10 | 0.01 | 17% | 9 Jun → | ||
| 13–6 | 0.04 | 16% | 9 Jun → | ||
| 13–5 | -0.02 | 11% | 8 Jun → | ||
| 13–10 | -0.02 | 24% | 8 Jun → | ||
| 13–11 | 0.02 | 13% | 5 Jun → | ||
| 13–6 | 0.07 | 19% | 5 Jun → | ||
| 9–13 | -0.01 | 14% | 5 Jun → | ||
| 13–4 | 0.03 | 15% | 2 Jun → | ||
| 6–13 | -0.03 | 18% | 2 Jun → | ||
| 4–13 | -0.08 | 14% | 2 Jun → | ||
| 13–10 | -0.02 | 21% | 2 Jun → | ||
| 13–6 | 0.07 | 13% | 2 Jun → | ||
| 9–13 | -0.02 | 12% | 1 Jun → | ||
| 14–16 | 0.03 | 19% | 1 Jun → | ||
| 13–8 | 0.05 | 22% | 1 Jun → | ||
| 13–8 | 0.04 | 19% | 1 Jun → | ||
| 13–10 | 0.01 | 19% | 1 Jun → | ||
| 13–11 | -0.01 | 23% | 31 May → | ||
| 16–12 | -0.01 | 15% | 31 May → | ||
| 13–9 | 0.00 | 19% | 31 May → | ||
| 8–13 | -0.01 | 20% | 31 May → | ||
| 13–0 | 0.09 | 39% | 31 May → | ||
| 10–13 | -0.04 | 19% | 31 May → | ||
| 11–13 | -0.08 | 23% | 30 May → | ||
| 13–5 | 0.04 | 14% | 30 May → | ||
| 16–12 | 0.03 | 11% | 30 May → | ||
| 13–10 | 0.09 | 25% | 30 May → |
Match data via Leetify.