enjoyer — CS2 Stats
FI76561198004555298[U:1:44289570]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 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 87% playstyle similarity
Most alike: positioning profile, utility contribution.
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
T-side openings. Opening success drops from 60% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| D | 26 | 8–18 | 31% | -0.01 | |
| C | 24 | 9–15 | 38% | -0.00 | |
| A | 20 | 11–9 | 55% | -0.02 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.06 | |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (31% over 26). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 565 | 50% | 0.99 | 15.9 |
| Ancient | 326 | 53% | 1.06 | 16.9 |
| Nuke | 263 | 52% | 1.03 | 17.0 |
| Dust2 | 226 | 50% | 1.02 | 16.6 |
| Inferno | 117 | 46% | 0.99 | 16.1 |
| Anubis | 98 | 46% | 1.01 | 16.8 |
| Train | 85 | 48% | 1.05 | 17.1 |
| Overpass | 73 | 56% | 1.06 | 17.6 |
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 33.7083% — 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.
31% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.04 | 16% | 22 Aug → | ||
| 13–7 | -0.03 | 13% | 22 Aug → | ||
| 13–6 | 0.03 | 14% | 22 Aug → | ||
| 13–0 | 0.03 | 36% | 22 Aug → | ||
| 16–13 | 0.05 | 22% | 20 Aug → | ||
| 13–5 | 0.05 | 18% | 14 Aug → | ||
| 13–7 | -0.04 | 17% | 13 Aug → | ||
| 5–13 | -0.05 | 36% | 13 Aug → | ||
| 11–13 | 0.01 | 14% | 10 Aug → | ||
| 6–13 | 0.03 | 20% | 9 Aug → | ||
| 8–13 | 0.06 | 16% | 1 Aug → | ||
| 13–8 | 0.05 | 21% | 1 Aug → | ||
| 2–13 | -0.07 | 13% | 31 Jul → | ||
| 13–10 | 0.04 | 15% | 29 Jul → | ||
| 16–19 | 0.00 | 17% | 29 Jul → | ||
| 13–11 | 0.04 | 20% | 21 Jul → | ||
| 13–5 | -0.02 | 13% | 21 Jul → | ||
| 13–9 | -0.02 | 17% | 21 Jul → | ||
| 11–13 | -0.04 | 22% | 19 Jul → | ||
| 7–13 | -0.07 | 21% | 18 Jul → | ||
| 13–16 | -0.06 | 14% | 18 Jul → | ||
| 13–11 | -0.02 | 12% | 17 Jul → | ||
| 14–16 | -0.02 | 30% | 17 Jul → | ||
| 11–13 | -0.03 | 13% | 17 Jul → | ||
| 13–11 | 0.02 | 13% | 16 Jul → | ||
| 13–6 | -0.00 | 13% | 16 Jul → | ||
| 13–7 | 0.03 | 21% | 16 Jul → | ||
| 6–13 | 0.01 | 17% | 16 Jul → | ||
| 13–6 | 0.02 | 18% | 16 Jul → | ||
| 8–13 | -0.02 | 13% | 16 Jul → | ||
| 10–13 | -0.04 | 27% | 12 Jul → | ||
| 6–13 | -0.02 | 17% | 12 Jul → | ||
| 6–13 | -0.07 | 38% | 12 Jul → | ||
| 8–13 | 0.03 | 13% | 12 Jul → | ||
| 1–13 | -0.02 | 20% | 12 Jul → | ||
| 13–7 | -0.04 | 17% | 11 Jul → | ||
| 6–13 | 0.00 | 13% | 11 Jul → | ||
| 13–11 | -0.01 | 20% | 11 Jul → | ||
| 6–13 | 0.00 | 32% | 10 Jul → | ||
| 9–13 | -0.03 | 20% | 9 Jul → | ||
| 6–13 | -0.04 | 27% | 6 Jul → | ||
| 13–5 | 0.07 | 29% | 5 Jul → | ||
| 11–13 | -0.02 | 14% | 28 Jun → | ||
| 10–13 | 0.03 | 19% | 23 Jun → | ||
| 13–10 | 0.00 | 28% | 14 Jun → | ||
| 19–17 | -0.06 | 21% | 13 Jun → | ||
| 16–12 | 0.02 | 20% | 12 Jun → | ||
| 13–2 | -0.02 | 18% | 12 Jun → | ||
| 13–8 | 0.03 | 24% | 12 Jun → | ||
| 7–13 | -0.02 | 20% | 12 Jun → | ||
| 13–9 | 0.00 | 24% | 11 Jun → | ||
| 13–9 | 0.06 | 13% | 9 Jun → | ||
| 13–4 | -0.02 | 23% | 9 Jun → | ||
| 7–13 | -0.04 | 11% | 7 Jun → | ||
| 9–13 | -0.03 | 11% | 5 Jun → | ||
| 13–9 | -0.05 | 7% | 4 Jun → | ||
| 8–13 | -0.02 | 6% | 3 Jun → | ||
| 5–13 | -0.02 | 12% | 28 May → | ||
| 6–13 | 0.02 | 18% | 28 May → | ||
| 9–13 | 0.04 | 20% | 27 May → | ||
| 13–4 | 0.04 | 16% | 26 May → | ||
| 7–13 | -0.04 | 15% | 26 May → | ||
| 7–13 | -0.04 | 19% | 21 May → | ||
| 13–3 | 0.02 | 23% | 20 May → | ||
| 13–11 | 0.03 | 27% | 20 May → | ||
| 4–13 | 0.07 | 31% | 20 May → | ||
| 4–13 | -0.05 | 29% | 18 May → | ||
| 10–13 | 0.03 | 14% | 18 May → | ||
| 9–13 | -0.01 | 22% | 18 May → | ||
| 13–11 | -0.02 | 19% | 16 May → | ||
| 11–13 | -0.02 | 31% | 16 May → | ||
| 6–13 | -0.00 | 21% | 15 May → | ||
| 22–19 | 0.00 | 15% | 14 May → | ||
| 5–13 | 0.01 | 18% | 14 May → | ||
| 5–13 | -0.06 | 15% | 13 May → | ||
| 7–13 | 0.02 | 20% | 12 May → | ||
| 13–8 | -0.02 | 13% | 12 May → | ||
| 7–13 | 0.06 | 15% | 9 May → | ||
| 6–13 | -0.03 | 19% | 9 May → | ||
| 13–6 | 0.05 | 20% | 7 May → | ||
| 1–13 | -0.08 | 0% | 5 May → | ||
| 9–13 | -0.06 | 13% | 4 May → | ||
| 13–7 | 0.00 | 17% | 3 May → | ||
| 10–13 | -0.03 | 16% | 3 May → | ||
| 14–16 | 0.01 | 16% | 3 May → | ||
| 9–13 | 0.01 | 24% | 3 May → | ||
| 12–16 | -0.07 | 13% | 1 Mar → | ||
| 13–11 | -0.08 | 33% | 23 Feb → | ||
| 7–13 | -0.01 | 9% | 21 Jan → | ||
| 5–13 | -0.08 | 13% | 7 Jan → | ||
| 13–10 | 0.05 | 23% | 5 Jan → | ||
| 5–13 | -0.06 | 10% | 5 Jan → | ||
| 13–7 | -0.01 | 18% | 4 Jan → | ||
| 16–13 | -0.03 | 7% | 1 Jan → | ||
| 13–7 | 0.06 | 19% | 31 Dec → | ||
| 13–9 | 0.04 | 21% | 31 Dec → | ||
| 4–13 | -0.07 | 8% | 29 Dec → | ||
| 4–13 | -0.08 | 0% | 26 Dec → | ||
| 9–12 | -0.04 | 19% | 26 Dec → | ||
| 19–15 | 0.03 | 19% | 26 Dec → |
Match data via Leetify.