escapism888 — CS2 Stats
76561199476975295[U:1:1516709567]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 54.9% | 52.8% |
| Shot accuracy | 4.1% | 13.7% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 45.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 86% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower opening-duel success; lower utility contribution.
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 89 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 36 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.
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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 31 | 20–11 | 65% | 0.03 | |
| C | 22 | 9–13 | 41% | 0.01 | |
| S | 12 | 8–4 | 67% | 0.04 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| S | 8 | 8–0 | 100% | 0.06 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 4 | 1–3 | 25% | -0.00 | |
| eldorado | — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1053 | 53% | 1.24 | 17.9 |
| Dust2 | 532 | 51% | 1.27 | 18.1 |
| Ancient | 310 | 49% | 1.20 | 16.9 |
| Anubis | 218 | 53% | 1.13 | 16.7 |
| Vertigo | 136 | 49% | 1.24 | 18.2 |
| Nuke | 122 | 45% | 1.15 | 17.4 |
| Overpass | 121 | 55% | 1.28 | 17.3 |
| Inferno | 114 | 43% | 1.21 | 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2897 — below the 0.5 mark we flag
- 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 33.5919% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.05 | 28% | 24 Aug → | ||
| 13–3 | -0.04 | 35% | 24 Aug → | ||
| 8–13 | -0.06 | 32% | 24 Aug → | ||
| 8–13 | 0.03 | 25% | 24 Aug → | ||
| 4–13 | -0.02 | 43% | 23 Aug → | ||
| 13–6 | -0.07 | 21% | 13 Aug → | ||
| 0–2 | -0.02 | 100% | 13 Aug → | ||
| 16–14 | 0.04 | 28% | 13 Aug → | ||
| 2–9 | -0.09 | 56% | 13 Aug → | ||
| 7–13 | -0.14 | 0% | 11 Aug → | ||
| 1–13 | -0.04 | 30% | 11 Aug → | ||
| 13–11 | -0.03 | 23% | 11 Aug → | ||
| 1–9 | 0.07 | 19% | 3 Aug → | ||
| 13–5 | -0.01 | 23% | 3 Aug → | ||
| 9–13 | 0.01 | 22% | 31 Jul → | ||
| 15–15 | -0.03 | 22% | 31 Jul → | ||
| 13–3 | 0.13 | 22% | 31 Jul → | ||
| 1–13 | 0.02 | 37% | 31 Jul → | ||
| 12–16 | 0.02 | 19% | 30 Jul → | ||
| 3–13 | -0.01 | 29% | 30 Jul → | ||
| 13–4 | 0.11 | 29% | 30 Jul → | ||
| 13–8 | -0.06 | 29% | 30 Jul → | ||
| 1–5 | -0.02 | 40% | 30 Jul → | ||
| 13–9 | -0.01 | 23% | 30 Jul → | ||
| 7–0 | 0.11 | 23% | 22 Jul → | ||
| 0–13 | -0.07 | 50% | 22 Jul → | ||
| 13–11 | -0.01 | 20% | 22 Jul → | ||
| 13–5 | 0.02 | 33% | 22 Jul → | ||
| eldorado | 8–8 | 0.04 | 17% | 17 Jul → | |
| 13–7 | 0.13 | 22% | 10 Jul → | ||
| 10–13 | -0.01 | 31% | 9 Jul → | ||
| 0–3 | -0.07 | 0% | 9 Jul → | ||
| 13–8 | 0.11 | 38% | 9 Jul → | ||
| 13–5 | 0.03 | 44% | 9 Jul → | ||
| 13–0 | 0.06 | 19% | 1 Jul → | ||
| 7–1 | 0.06 | 24% | 1 Jul → | ||
| 13–5 | 0.02 | 16% | 1 Jul → | ||
| 5–13 | 0.02 | 30% | 1 Jul → | ||
| 13–10 | -0.02 | 26% | 25 Jun → | ||
| 10–13 | 0.07 | 21% | 24 Jun → | ||
| 13–4 | 0.12 | 31% | 24 Jun → | ||
| 13–8 | 0.03 | 38% | 24 Jun → | ||
| 5–13 | -0.05 | 80% | 24 Jun → | ||
| 3–13 | 0.00 | 15% | 24 Jun → | ||
| 13–10 | 0.01 | 19% | 23 Jun → | ||
| 13–2 | 0.09 | 24% | 23 Jun → | ||
| 7–13 | -0.08 | 41% | 23 Jun → | ||
| 13–3 | 0.00 | 19% | 16 Jun → | ||
| 2–13 | 0.01 | 8% | 16 Jun → | ||
| 12–16 | -0.00 | 34% | 12 Jun → | ||
| 13–10 | 0.04 | 27% | 5 Jun → | ||
| 13–8 | 0.10 | 27% | 24 May → | ||
| 13–11 | 0.01 | 14% | 23 May → | ||
| 7–13 | 0.10 | 29% | 22 May → | ||
| 13–11 | 0.01 | 15% | 22 May → | ||
| 13–5 | 0.07 | 32% | 22 May → | ||
| 4–13 | 0.04 | 17% | 21 May → | ||
| 13–5 | 0.07 | 33% | 21 May → | ||
| 10–13 | -0.03 | 19% | 19 May → | ||
| 13–4 | 0.14 | 21% | 15 May → | ||
| 13–4 | 0.02 | 27% | 15 May → | ||
| 13–6 | 0.06 | 24% | 15 May → | ||
| 13–8 | 0.02 | 27% | 15 May → | ||
| 8–13 | -0.04 | 20% | 8 May → | ||
| 12–12 | 0.04 | 39% | 6 May → | ||
| 13–9 | 0.03 | 25% | 6 May → | ||
| 11–13 | 0.06 | 22% | 6 May → | ||
| 13–6 | 0.05 | 20% | 3 May → | ||
| 13–5 | -0.02 | 46% | 29 Apr → | ||
| 11–13 | 0.01 | 28% | 29 Apr → | ||
| 5–13 | 0.02 | 23% | 29 Apr → | ||
| 13–4 | 0.10 | 41% | 29 Apr → | ||
| 13–6 | 0.04 | 33% | 23 Apr → | ||
| 4–13 | 0.00 | 22% | 23 Apr → | ||
| 9–13 | -0.01 | 32% | 20 Apr → | ||
| 9–13 | -0.00 | 30% | 19 Apr → | ||
| 11–13 | 0.04 | 19% | 16 Apr → | ||
| 13–1 | 0.08 | 26% | 16 Apr → | ||
| 10–13 | 0.01 | 31% | 15 Apr → | ||
| 9–13 | 0.24 | 29% | 15 Apr → | ||
| 13–5 | 0.08 | 32% | 15 Apr → | ||
| 10–13 | 0.06 | 47% | 13 Apr → | ||
| 13–9 | 0.06 | 32% | 13 Apr → | ||
| 13–7 | 0.05 | 34% | 13 Apr → | ||
| 16–13 | -0.00 | 38% | 13 Apr → | ||
| 13–11 | -0.00 | 35% | 2 Apr → | ||
| 13–11 | 0.13 | 21% | 25 Mar → | ||
| 7–0 | 0.10 | 40% | 25 Mar → | ||
| 13–6 | 0.10 | 31% | 25 Mar → | ||
| 13–4 | 0.08 | 30% | 25 Mar → | ||
| 5–13 | -0.02 | 43% | 25 Mar → | ||
| 13–11 | 0.05 | 20% | 20 Mar → | ||
| 14–16 | 0.01 | 15% | 20 Mar → | ||
| 14–16 | 0.02 | 24% | 19 Mar → | ||
| 13–8 | 0.08 | 34% | 12 Mar → | ||
| 13–7 | 0.12 | 37% | 9 Mar → | ||
| 13–9 | -0.03 | 39% | 9 Mar → | ||
| 16–14 | 0.01 | 29% | 9 Mar → | ||
| 13–5 | 0.01 | 23% | 8 Mar → | ||
| 13–11 | 0.03 | 24% | 25 Feb → |
Match data via Leetify.