jjjj — CS2 Stats
76561198195916905[U:1:235651177]Steam profile ↗
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 | 38.7% | 52.8% | 14.1% short |
| Shot accuracy | 17.9% | 13.7% | above |
| Kill/death ratio | 1.00 | 1.08 | 0.08 short |
| Match win rate | 46.9% | 49.2% | 2.3% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot 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: +30pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingLimited 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 93% playstyle similarity
Most alike: aim profile, positioning profile.
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 98 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 39 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 7.4/10 (Strong), 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 | 28 | 18–10 | 64% | 0.03 | |
| A | 28 | 17–11 | 61% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| S | 8 | 6–2 | 75% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.17 | |
| office | — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (56% over 9). Start with the 6 essential Anubis 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 52 | 52% | 1.02 | 15.1 |
| Ancient | 47 | 60% | 1.08 | 15.6 |
| Mirage | 38 | 45% | 1.19 | 15.8 |
| Vertigo | 33 | 67% | 1.17 | 17.1 |
| Nuke | 24 | 58% | 1.26 | 18.0 |
| Dust2 | 22 | 55% | 1.15 | 16.3 |
| Overpass | 15 | 47% | 1.15 | 15.6 |
| Inferno | 9 | 56% | 1.08 | 14.7 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8587 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.01 | 11% | 28 Aug → | ||
| 13–9 | 0.05 | 10% | 27 Aug → | ||
| 13–7 | 0.09 | 14% | 26 Aug → | ||
| 13–3 | -0.03 | 20% | 25 Aug → | ||
| 13–8 | -0.04 | 16% | 25 Aug → | ||
| 13–11 | -0.03 | 15% | 24 Aug → | ||
| 13–7 | 0.03 | 25% | 24 Aug → | ||
| 13–1 | 0.10 | 100% | 24 Aug → | ||
| 8–13 | -0.04 | 10% | 23 Aug → | ||
| 13–6 | -0.00 | 33% | 23 Aug → | ||
| 9–13 | 0.02 | 19% | 23 Aug → | ||
| 13–9 | 0.02 | 16% | 23 Aug → | ||
| 13–9 | 0.03 | 9% | 22 Aug → | ||
| 13–11 | -0.04 | 22% | 22 Aug → | ||
| 9–13 | 0.00 | 11% | 22 Aug → | ||
| 13–16 | 0.05 | 20% | 22 Aug → | ||
| 13–4 | 0.02 | 11% | 22 Aug → | ||
| 9–13 | -0.01 | 25% | 22 Aug → | ||
| 13–9 | 0.05 | 21% | 22 Aug → | ||
| 8–13 | 0.03 | 18% | 21 Aug → | ||
| 13–6 | 0.06 | 13% | 21 Aug → | ||
| 13–4 | 0.01 | 12% | 20 Aug → | ||
| 13–11 | 0.00 | 18% | 20 Aug → | ||
| 8–13 | -0.04 | 12% | 20 Aug → | ||
| 13–7 | 0.06 | 24% | 20 Aug → | ||
| 13–10 | 0.13 | 22% | 20 Aug → | ||
| 13–3 | 0.14 | 19% | 20 Aug → | ||
| 19–22 | -0.06 | 5% | 20 Aug → | ||
| 13–3 | 0.12 | 24% | 19 Aug → | ||
| 13–9 | -0.04 | 16% | 19 Aug → | ||
| 13–10 | -0.05 | 11% | 19 Aug → | ||
| 13–11 | 0.09 | 19% | 19 Aug → | ||
| 13–4 | 0.06 | 14% | 19 Aug → | ||
| 13–3 | 0.06 | 22% | 19 Aug → | ||
| 6–13 | 0.01 | 21% | 18 Aug → | ||
| 5–13 | -0.08 | 32% | 18 Aug → | ||
| 13–5 | 0.04 | 17% | 18 Aug → | ||
| 13–7 | 0.01 | 18% | 18 Aug → | ||
| 6–13 | -0.04 | 23% | 18 Aug → | ||
| 8–13 | 0.06 | 15% | 18 Aug → | ||
| 13–5 | -0.01 | 22% | 17 Aug → | ||
| 11–13 | 0.02 | 25% | 17 Aug → | ||
| 16–13 | 0.02 | 16% | 17 Aug → | ||
| 9–13 | 0.01 | 24% | 16 Aug → | ||
| 4–13 | -0.11 | 6% | 16 Aug → | ||
| 13–5 | 0.10 | 24% | 15 Aug → | ||
| 19–17 | 0.02 | 15% | 15 Aug → | ||
| 13–5 | 0.11 | 20% | 15 Aug → | ||
| 13–4 | 0.05 | 15% | 15 Aug → | ||
| 10–13 | 0.05 | 16% | 15 Aug → | ||
| 13–10 | -0.00 | 15% | 15 Aug → | ||
| 11–13 | -0.01 | 15% | 14 Aug → | ||
| 13–11 | 0.06 | 15% | 11 Aug → | ||
| 13–9 | 0.25 | 31% | 11 Aug → | ||
| 7–13 | -0.00 | 16% | 6 Aug → | ||
| 13–7 | 0.09 | 23% | 6 Aug → | ||
| 13–4 | 0.17 | 15% | 5 Aug → | ||
| 13–11 | 0.09 | 29% | 5 Aug → | ||
| office | 2–13 | 0.04 | 13% | 5 Aug → | |
| 6–13 | -0.01 | 18% | 31 Jul → | ||
| 7–13 | -0.04 | 10% | 30 Jul → | ||
| 13–2 | -0.03 | 17% | 30 Jul → | ||
| 13–2 | 0.05 | 14% | 30 Jul → | ||
| 13–5 | 0.02 | 28% | 30 Jul → | ||
| 3–13 | -0.08 | 22% | 25 Jul → | ||
| 3–13 | 0.03 | 8% | 24 Jul → | ||
| 13–6 | 0.01 | 16% | 22 Jul → | ||
| 13–11 | 0.09 | 38% | 22 Jul → | ||
| 4–13 | -0.00 | 16% | 22 Jul → | ||
| 5–13 | 0.01 | 18% | 22 Jul → | ||
| 13–3 | 0.03 | 19% | 22 Jul → | ||
| 8–13 | -0.03 | 0% | 18 Jul → | ||
| 13–11 | 0.07 | 13% | 16 Jul → | ||
| 13–3 | 0.10 | 17% | 14 Jul → | ||
| 11–13 | 0.04 | 5% | 10 Jul → | ||
| 16–13 | 0.05 | 14% | 10 Jul → | ||
| 15–15 | 0.04 | 14% | 30 Jun → | ||
| 13–6 | 0.09 | 21% | 30 Jun → | ||
| 11–13 | 0.05 | 16% | 29 Jun → | ||
| 10–13 | -0.03 | 12% | 28 Jun → | ||
| 13–8 | -0.02 | 14% | 26 Jun → | ||
| 13–10 | 0.10 | 11% | 26 Jun → | ||
| 7–13 | -0.04 | 28% | 24 Jun → | ||
| 8–13 | -0.05 | 12% | 21 Jun → | ||
| 8–13 | -0.02 | 21% | 21 Jun → | ||
| 6–13 | 0.01 | 14% | 21 Jun → | ||
| 5–13 | -0.07 | 16% | 12 Jun → | ||
| 9–13 | 0.03 | 19% | 12 Jun → | ||
| 6–13 | 0.02 | 10% | 12 Jun → | ||
| 16–12 | 0.06 | 20% | 11 Jun → | ||
| 13–7 | 0.06 | 18% | 11 Jun → | ||
| 13–8 | 0.01 | 19% | 11 Jun → | ||
| 13–10 | 0.06 | 10% | 8 Jun → | ||
| 3–13 | -0.06 | 6% | 7 Jun → | ||
| 13–2 | 0.11 | 28% | 6 Jun → | ||
| 13–3 | 0.03 | 22% | 6 Jun → | ||
| 13–6 | 0.08 | 28% | 5 Jun → | ||
| 13–1 | 0.09 | 0% | 5 Jun → | ||
| 13–9 | 0.03 | 2% | 5 Jun → | ||
| 15–15 | 0.10 | 18% | 5 Jun → |
Match data via Leetify.