ease — CS2 Stats
76561199215329632[U:1:1255063904]✓ 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 | 72.4% | 52.8% | above |
| Shot accuracy | 7.4% | 13.7% | 6.4% short |
| Kill/death ratio | 1.49 | 1.08 | above |
| Match win rate | 36.3% | 49.2% | 12.9% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: +10pp win rate · +0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 92% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: 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 92 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 33 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 22 | 10–12 | 45% | 0.04 | |
| S | 19 | 13–6 | 68% | 0.02 | |
| S | 17 | 12–5 | 71% | 0.06 | |
| B | 17 | 9–8 | 53% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 3 | 3–0 | 100% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.09 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| office | — | 1 | 0–1 | 0% | 0.02 |
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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 24 | 71% | 1.29 | 19.7 |
| Inferno | 18 | 56% | 1.41 | 19.8 |
| Anubis | 12 | 75% | 1.26 | 17.5 |
| Dust2 | 10 | 80% | 1.41 | 19.9 |
| Nuke | 8 | 38% | 1.22 | 15.9 |
| Ancient | 7 | 71% | 1.45 | 16.7 |
| Cache | 5 | 60% | 1.11 | 14.4 |
| Overpass | 3 | 33% | 1.14 | 21.3 |
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
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 0.326 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.07 | 32% | 27 Aug → | ||
| 16–13 | 0.05 | 20% | 25 Aug → | ||
| 11–13 | 0.05 | 25% | 25 Aug → | ||
| 13–10 | 0.14 | 28% | 19 Aug → | ||
| 13–10 | 0.07 | 24% | 19 Aug → | ||
| 6–13 | -0.03 | 21% | 19 Aug → | ||
| 5–13 | -0.03 | 25% | 19 Aug → | ||
| 11–13 | 0.12 | 30% | 17 Aug → | ||
| 13–10 | -0.04 | 30% | 17 Aug → | ||
| 13–3 | 0.09 | 36% | 12 Aug → | ||
| 13–11 | -0.06 | 36% | 12 Aug → | ||
| 0–13 | -0.08 | 100% | 12 Aug → | ||
| 13–8 | 0.06 | 32% | 12 Aug → | ||
| 15–15 | 0.02 | 29% | 11 Aug → | ||
| 9–13 | -0.03 | 38% | 11 Aug → | ||
| 13–2 | 0.01 | 20% | 11 Aug → | ||
| 4–13 | -0.02 | 26% | 8 Aug → | ||
| 5–13 | -0.08 | 17% | 8 Aug → | ||
| 13–10 | 0.01 | 15% | 8 Aug → | ||
| 11–13 | -0.02 | 19% | 8 Aug → | ||
| 13–7 | 0.00 | 27% | 8 Aug → | ||
| 13–16 | 0.03 | 25% | 8 Aug → | ||
| 13–10 | -0.00 | 10% | 6 Aug → | ||
| 12–12 | 0.05 | 24% | 6 Aug → | ||
| 11–5 | -0.08 | 13% | 3 Aug → | ||
| 3–13 | -0.03 | 21% | 3 Aug → | ||
| 13–11 | 0.08 | 23% | 3 Aug → | ||
| 13–7 | 0.01 | 36% | 2 Aug → | ||
| 13–8 | 0.03 | 22% | 2 Aug → | ||
| 13–16 | -0.01 | 31% | 1 Aug → | ||
| 13–8 | 0.00 | 24% | 1 Aug → | ||
| 13–0 | 0.15 | 27% | 1 Aug → | ||
| 13–11 | 0.02 | 18% | 1 Aug → | ||
| 13–5 | 0.07 | 39% | 1 Aug → | ||
| 13–8 | -0.03 | 35% | 1 Aug → | ||
| 13–11 | 0.03 | 38% | 1 Aug → | ||
| 9–13 | -0.01 | 35% | 30 Jul → | ||
| 13–11 | 0.02 | 23% | 30 Jul → | ||
| 13–1 | -0.03 | 30% | 30 Jul → | ||
| 9–13 | 0.09 | 18% | 30 Jul → | ||
| 13–3 | 0.15 | 28% | 30 Jul → | ||
| 13–11 | -0.00 | 14% | 19 Jul → | ||
| 13–6 | 0.09 | 39% | 19 Jul → | ||
| 13–11 | 0.09 | 31% | 19 Jul → | ||
| 13–6 | 0.05 | 27% | 19 Jul → | ||
| 13–4 | 0.02 | 13% | 19 Jul → | ||
| 8–13 | -0.04 | 22% | 19 Jul → | ||
| 3–11 | -0.04 | 60% | 18 Jul → | ||
| 8–13 | 0.01 | 28% | 18 Jul → | ||
| 13–8 | 0.13 | 21% | 16 Jul → | ||
| 13–3 | 0.03 | 38% | 16 Jul → | ||
| 9–13 | -0.03 | 69% | 16 Jul → | ||
| 10–13 | 0.01 | 24% | 16 Jul → | ||
| 13–1 | 0.17 | 29% | 16 Jul → | ||
| 13–9 | 0.08 | 33% | 14 Jul → | ||
| 13–5 | 0.08 | 28% | 14 Jul → | ||
| 13–2 | 0.12 | 23% | 14 Jul → | ||
| 16–12 | -0.00 | 27% | 14 Jul → | ||
| 13–4 | 0.07 | 27% | 14 Jul → | ||
| 13–11 | -0.04 | 21% | 14 Jul → | ||
| 13–2 | 0.10 | 5% | 14 Jul → | ||
| 11–13 | 0.02 | 20% | 14 Jul → | ||
| 13–11 | 0.13 | 41% | 12 Jul → | ||
| 13–8 | -0.01 | 23% | 12 Jul → | ||
| 16–14 | 0.07 | 20% | 12 Jul → | ||
| 7–13 | 0.03 | 45% | 12 Jul → | ||
| 6–13 | 0.00 | 31% | 12 Jul → | ||
| 5–13 | -0.04 | 33% | 12 Jul → | ||
| 4–13 | 0.00 | 29% | 12 Jul → | ||
| 10–13 | 0.07 | 24% | 12 Jul → | ||
| 13–8 | 0.13 | 21% | 12 Jul → | ||
| 16–13 | -0.01 | 24% | 11 Jul → | ||
| 10–13 | 0.01 | 23% | 11 Jul → | ||
| 10–13 | 0.15 | 38% | 11 Jul → | ||
| 13–11 | 0.01 | 19% | 10 Jul → | ||
| 13–4 | 0.06 | 16% | 9 Jul → | ||
| 11–13 | 0.03 | 29% | 9 Jul → | ||
| 13–11 | -0.04 | 31% | 9 Jul → | ||
| 7–13 | 0.10 | 35% | 9 Jul → | ||
| 13–2 | 0.09 | 30% | 9 Jul → | ||
| office | 12–12 | 0.02 | 33% | 8 Jul → | |
| 12–12 | 0.03 | 31% | 6 Jul → | ||
| 12–12 | 0.07 | 23% | 6 Jul → | ||
| 8–13 | -0.13 | 22% | 5 Jul → | ||
| 6–13 | 0.06 | 34% | 4 Jul → | ||
| 8–13 | 0.04 | 23% | 4 Jul → | ||
| 13–0 | 0.15 | 52% | 4 Jul → | ||
| 13–5 | 0.04 | 22% | 3 Jul → | ||
| 10–13 | 0.02 | 40% | 3 Jul → | ||
| 13–5 | 0.13 | 31% | 3 Jul → | ||
| 13–11 | 0.06 | 19% | 3 Jul → | ||
| 13–11 | 0.03 | 31% | 3 Jul → | ||
| 3–0 | 0.04 | 60% | 3 Jul → | ||
| 10–13 | -0.02 | 52% | 1 Jul → | ||
| 13–5 | 0.14 | 39% | 1 Jul → | ||
| 5–0 | 0.11 | 24% | 1 Jul → | ||
| 12–12 | 0.03 | 20% | 1 Jul → | ||
| 8–13 | 0.06 | 35% | 29 Jun → | ||
| 13–11 | 0.02 | 28% | 29 Jun → | ||
| 13–7 | 0.05 | 18% | 29 Jun → |
Match data via Leetify.