lish — CS2 Stats
76561198092100450[U:1:131834722]✓ 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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 50.7% | 52.8% | 2.1% short |
| Shot accuracy | 16.1% | 13.7% | above |
| Kill/death ratio | 1.04 | 1.08 | 0.04 short |
| Match win rate | 41.1% | 49.2% | 8.1% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: 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 ropz 91% playstyle similarity
Most alike: utility contribution, positioning profile.
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. 610ms 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 6.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 27 | 16–11 | 59% | 0.03 | |
| A | 19 | 12–7 | 63% | 0.00 | |
| A | 18 | 10–8 | 56% | 0.02 | |
| A | 14 | 8–6 | 57% | -0.01 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.00 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 46 | 43% | 1.15 | 16.6 |
| Anubis | 32 | 62% | 1.24 | 16.3 |
| Inferno | 25 | 60% | 1.37 | 17.3 |
| Ancient | 23 | 57% | 1.45 | 16.6 |
| Vertigo | 14 | 57% | 1.31 | 15.4 |
| Overpass | 12 | 67% | 1.73 | 17.8 |
| Nuke | 8 | 62% | 1.09 | 16.6 |
| Dust2 | 3 | 67% | 0.88 | 13.3 |
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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.06 | 16% | 15 Aug → | ||
| 13–11 | -0.04 | 18% | 15 Aug → | ||
| 13–10 | 0.01 | 18% | 14 Aug → | ||
| 8–13 | 0.02 | 23% | 14 Aug → | ||
| 15–15 | 0.02 | 23% | 4 Aug → | ||
| 9–13 | -0.02 | 29% | 3 Aug → | ||
| 13–6 | -0.03 | 21% | 3 Aug → | ||
| 10–13 | -0.04 | 32% | 2 Aug → | ||
| 13–6 | 0.00 | 30% | 2 Aug → | ||
| 13–5 | -0.04 | 37% | 1 Aug → | ||
| 16–13 | -0.02 | 29% | 1 Aug → | ||
| 13–3 | 0.05 | 45% | 1 Aug → | ||
| 5–13 | -0.05 | 35% | 1 Aug → | ||
| 1–13 | -0.00 | 17% | 29 Jul → | ||
| 6–13 | 0.01 | 29% | 29 Jul → | ||
| 13–1 | 0.05 | 35% | 28 Jul → | ||
| 6–13 | -0.05 | 29% | 28 Jul → | ||
| 2–13 | -0.00 | 33% | 28 Jul → | ||
| 11–13 | -0.04 | 28% | 28 Jul → | ||
| 13–6 | -0.03 | 22% | 27 Jul → | ||
| 13–6 | 0.14 | 18% | 27 Jul → | ||
| 10–13 | 0.04 | 25% | 26 Jul → | ||
| 5–13 | -0.08 | 20% | 26 Jul → | ||
| 13–8 | 0.05 | 19% | 26 Jul → | ||
| 13–16 | -0.00 | 16% | 24 Jul → | ||
| 16–14 | -0.01 | 21% | 24 Jul → | ||
| 3–2 | -0.04 | 50% | 24 Jul → | ||
| 13–7 | 0.03 | 53% | 23 Jul → | ||
| 13–1 | 0.08 | 30% | 23 Jul → | ||
| 5–13 | -0.01 | 30% | 23 Jul → | ||
| 13–10 | 0.05 | 14% | 23 Jul → | ||
| 13–6 | 0.08 | 28% | 22 Jul → | ||
| 4–13 | -0.01 | 35% | 21 Jul → | ||
| 13–5 | -0.01 | 30% | 21 Jul → | ||
| 13–5 | 0.05 | 34% | 21 Jul → | ||
| 10–13 | -0.02 | 27% | 21 Jul → | ||
| 13–6 | 0.06 | 29% | 21 Jul → | ||
| 11–13 | -0.02 | 17% | 21 Jul → | ||
| 14–16 | -0.06 | 41% | 21 Jul → | ||
| 11–13 | -0.03 | 44% | 21 Jul → | ||
| 8–4 | 0.09 | 63% | 21 Jul → | ||
| 13–11 | 0.01 | 11% | 21 Jul → | ||
| 13–9 | -0.01 | 28% | 21 Jul → | ||
| 13–6 | -0.04 | 32% | 21 Jul → | ||
| 12–16 | 0.01 | 26% | 20 Jul → | ||
| 13–8 | 0.09 | 33% | 19 May → | ||
| 13–8 | 0.02 | 33% | 19 May → | ||
| 13–9 | -0.02 | 30% | 19 May → | ||
| 13–9 | -0.04 | 33% | 18 May → | ||
| 11–13 | 0.02 | 32% | 18 May → | ||
| 5–13 | -0.04 | 25% | 18 May → | ||
| 2–13 | -0.05 | 20% | 18 May → | ||
| 13–6 | -0.02 | 28% | 14 May → | ||
| 16–14 | 0.03 | 34% | 14 May → | ||
| 13–8 | 0.06 | 37% | 14 May → | ||
| 13–6 | 0.01 | 24% | 3 May → | ||
| 13–11 | 0.01 | 29% | 3 May → | ||
| 5–13 | -0.06 | 20% | 2 Apr → | ||
| 13–9 | 0.02 | 32% | 2 Apr → | ||
| 13–11 | -0.06 | 26% | 2 Apr → | ||
| 13–5 | 0.05 | 34% | 14 Jan → | ||
| 13–11 | 0.07 | 40% | 14 Jan → | ||
| 13–16 | -0.02 | 30% | 14 Jan → | ||
| 13–8 | -0.03 | 34% | 13 Jan → | ||
| 13–11 | 0.06 | 30% | 13 Jan → | ||
| 13–7 | 0.14 | 27% | 13 Jan → | ||
| 13–9 | 0.05 | 47% | 13 Jan → | ||
| 9–13 | -0.02 | 32% | 13 Jan → | ||
| 2–13 | -0.07 | 17% | 13 Jan → | ||
| 13–7 | 0.01 | 38% | 13 Jan → | ||
| 11–13 | 0.04 | 30% | 13 Jan → | ||
| 13–2 | 0.04 | 26% | 12 Jan → | ||
| 13–11 | 0.06 | 38% | 12 Jan → | ||
| 13–5 | 0.03 | 20% | 12 Jan → | ||
| 13–3 | 0.11 | 38% | 12 Jan → | ||
| 6–13 | -0.01 | 29% | 12 Jan → | ||
| 13–3 | 0.14 | 38% | 12 Jan → | ||
| 13–11 | 0.02 | 20% | 11 Jan → | ||
| 13–5 | 0.01 | 33% | 10 Jan → | ||
| 13–9 | 0.11 | 28% | 10 Jan → | ||
| 8–13 | 0.10 | 33% | 9 Jan → | ||
| 13–1 | 0.03 | 37% | 9 Jan → | ||
| 11–13 | -0.07 | 26% | 9 Jan → | ||
| 13–8 | 0.08 | 30% | 9 Jan → | ||
| 13–16 | -0.05 | 33% | 9 Jan → | ||
| 13–6 | -0.06 | 22% | 9 Jan → | ||
| 10–13 | -0.05 | 26% | 8 Jan → | ||
| 10–13 | 0.02 | 20% | 8 Jan → | ||
| 15–15 | 0.07 | 32% | 8 Jan → | ||
| 4–13 | 0.08 | 50% | 8 Jan → | ||
| 13–16 | 0.05 | 29% | 5 Dec → | ||
| 13–9 | 0.08 | 39% | 5 Dec → | ||
| 16–14 | 0.02 | 22% | 4 Dec → | ||
| 13–3 | -0.08 | 15% | 1 Dec → | ||
| 13–7 | -0.01 | 21% | 1 Dec → | ||
| 13–10 | 0.07 | 28% | 1 Dec → | ||
| 9–13 | 0.02 | 36% | 28 Nov → | ||
| 13–8 | 0.14 | 16% | 28 Nov → | ||
| 7–13 | 0.04 | 20% | 27 Nov → | ||
| 2–13 | 0.01 | 26% | 27 Nov → |
Match data via Leetify.