esplay ghoul — CS2 Stats
76561198290198493[U:1:329932765]Steam profile ↗VAC banned
Rating over time
Faceit ELO
- At peak — 3,004
- Next: 3,500 ELO at 3,500 — 496 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 14,561
- Next: Purple band at 15,000 — 439 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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, 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 44 | 25–19 | 57% | 0.05 | |
| A | 15 | 9–6 | 60% | 0.04 | |
| A | 11 | 6–5 | 55% | 0.07 | |
| C | 8 | 3–5 | 38% | 0.04 | |
| A | 7 | 4–3 | 57% | 0.05 | |
| — | 4 | 0–4 | 0% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.07 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| — | 2 | 2–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1028 | 56% | 1.26 | 17.9 |
| Ancient | 402 | 50% | 1.18 | 17.6 |
| Dust2 | 276 | 47% | 1.13 | 16.8 |
| Anubis | 234 | 47% | 1.15 | 17.0 |
| Nuke | 167 | 47% | 1.16 | 17.0 |
| Vertigo | 144 | 58% | 1.35 | 20.7 |
| Inferno | 118 | 46% | 1.15 | 16.6 |
| Overpass | 44 | 66% | 1.20 | 17.8 |
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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.05 | 23% | 28 Aug → | ||
| 13–7 | 0.07 | 25% | 28 Aug → | ||
| 13–4 | 0.08 | 33% | 28 Aug → | ||
| 13–8 | -0.02 | 22% | 27 Aug → | ||
| 5–13 | 0.04 | 16% | 27 Aug → | ||
| 13–5 | 0.10 | 25% | 27 Aug → | ||
| 8–13 | 0.01 | 21% | 27 Aug → | ||
| 8–13 | 0.02 | 20% | 27 Aug → | ||
| 13–7 | 0.06 | 26% | 27 Aug → | ||
| 8–13 | 0.03 | 20% | 27 Aug → | ||
| 13–1 | 0.12 | 30% | 26 Aug → | ||
| 13–2 | 0.08 | 20% | 26 Aug → | ||
| 13–7 | 0.12 | 20% | 26 Aug → | ||
| 1–13 | -0.07 | 37% | 26 Aug → | ||
| 13–9 | 0.08 | 18% | 26 Aug → | ||
| 11–5 | 0.12 | 25% | 25 Aug → | ||
| 9–13 | 0.06 | 29% | 25 Aug → | ||
| 10–13 | -0.02 | 29% | 25 Aug → | ||
| 13–16 | -0.03 | 19% | 25 Aug → | ||
| 4–13 | -0.06 | 9% | 25 Aug → | ||
| 13–7 | 0.07 | 19% | 25 Aug → | ||
| 13–10 | 0.16 | 30% | 25 Aug → | ||
| 16–14 | 0.07 | 26% | 25 Aug → | ||
| 13–7 | 0.03 | 18% | 25 Aug → | ||
| 13–10 | 0.04 | 22% | 24 Aug → | ||
| 8–13 | 0.10 | 25% | 24 Aug → | ||
| 11–13 | 0.04 | 26% | 24 Aug → | ||
| 16–13 | 0.03 | 25% | 24 Aug → | ||
| 19–16 | 0.04 | 16% | 24 Aug → | ||
| 13–9 | -0.00 | 24% | 23 Aug → | ||
| 7–13 | -0.02 | 28% | 23 Aug → | ||
| 8–13 | -0.06 | 20% | 21 Aug → | ||
| 13–6 | 0.06 | 24% | 21 Aug → | ||
| 8–13 | 0.00 | 17% | 20 Aug → | ||
| 12–16 | 0.02 | 14% | 20 Aug → | ||
| 9–13 | 0.05 | 10% | 20 Aug → | ||
| 16–14 | 0.02 | 20% | 20 Aug → | ||
| 25–23 | 0.06 | 11% | 20 Aug → | ||
| 13–3 | 0.08 | 6% | 20 Aug → | ||
| 13–7 | 0.05 | 25% | 20 Aug → | ||
| 13–4 | 0.02 | 17% | 20 Aug → | ||
| 13–9 | 0.09 | 28% | 19 Aug → | ||
| 16–13 | 0.06 | 13% | 19 Aug → | ||
| 7–13 | 0.07 | 23% | 19 Aug → | ||
| 9–13 | 0.02 | 17% | 19 Aug → | ||
| 13–16 | 0.03 | 14% | 19 Aug → | ||
| 13–10 | 0.13 | 29% | 19 Aug → | ||
| 13–4 | 0.09 | 27% | 19 Aug → | ||
| 11–13 | 0.08 | 20% | 19 Aug → | ||
| 7–13 | 0.00 | 17% | 19 Aug → | ||
| 8–13 | 0.03 | 27% | 18 Aug → | ||
| 13–1 | 0.12 | 37% | 18 Aug → | ||
| 13–4 | 0.12 | 34% | 18 Aug → | ||
| 13–7 | 0.15 | 26% | 18 Aug → | ||
| 13–5 | 0.13 | 38% | 18 Aug → | ||
| 7–13 | 0.08 | 17% | 18 Aug → | ||
| 10–13 | 0.04 | 29% | 18 Aug → | ||
| 12–16 | -0.00 | 19% | 17 Aug → | ||
| 13–11 | 0.05 | 16% | 17 Aug → | ||
| 10–13 | 0.10 | 26% | 17 Aug → | ||
| 14–16 | -0.01 | 23% | 14 Aug → | ||
| 13–8 | 0.07 | 19% | 14 Aug → | ||
| 13–8 | 0.05 | 19% | 13 Aug → | ||
| 13–4 | 0.24 | 21% | 13 Aug → | ||
| 13–7 | 0.23 | 28% | 13 Aug → | ||
| 13–3 | 0.12 | 21% | 13 Aug → | ||
| 13–9 | 0.10 | 13% | 13 Aug → | ||
| 13–4 | 0.16 | 15% | 13 Aug → | ||
| 11–13 | -0.01 | 18% | 13 Aug → | ||
| 16–13 | 0.11 | 29% | 13 Aug → | ||
| 11–13 | 0.02 | 28% | 12 Aug → | ||
| 6–13 | -0.00 | 39% | 12 Aug → | ||
| 7–13 | -0.00 | 30% | 12 Aug → | ||
| 13–4 | 0.07 | 38% | 11 Aug → | ||
| 13–3 | 0.08 | 17% | 11 Aug → | ||
| 7–13 | 0.01 | 21% | 11 Aug → | ||
| 19–17 | 0.07 | 27% | 11 Aug → | ||
| 3–13 | 0.03 | 50% | 10 Aug → | ||
| 5–13 | 0.01 | 20% | 10 Aug → | ||
| 13–9 | 0.03 | 33% | 7 Aug → | ||
| 10–13 | 0.08 | 26% | 4 Aug → | ||
| 2–13 | -0.08 | 30% | 3 Aug → | ||
| 10–13 | 0.00 | 28% | 3 Aug → | ||
| 13–10 | 0.06 | 26% | 3 Aug → | ||
| 10–13 | 0.08 | 28% | 26 Jul → | ||
| 13–11 | 0.03 | 27% | 21 Jul → | ||
| 9–13 | -0.04 | 19% | 21 Jul → | ||
| 19–15 | 0.03 | 18% | 21 Jul → | ||
| 7–13 | 0.04 | 19% | 21 Jul → | ||
| 13–6 | 0.05 | 19% | 21 Jul → | ||
| 13–10 | 0.01 | 14% | 21 Jul → | ||
| 13–8 | 0.04 | 26% | 13 Jul → | ||
| 11–13 | -0.00 | 25% | 13 Jul → | ||
| 13–6 | 0.05 | 25% | 13 Jul → | ||
| 13–8 | 0.07 | 20% | 12 Jul → | ||
| 4–13 | -0.02 | 20% | 12 Jul → | ||
| 14–16 | 0.05 | 20% | 12 Jul → | ||
| 10–13 | 0.10 | 23% | 12 Jul → | ||
| 22–20 | 0.05 | 27% | 12 Jul → | ||
| 13–8 | 0.08 | 22% | 12 Jul → |
Match data via Leetify.