dJOWEL — CS2 Stats
76561197961697333[U:1:1431605]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 43.7% | 46.2% | 47.2% | 3.5% short |
| Shot accuracy | 16.8% | 12.5% | 12.3% | above |
| Kill/death ratio | 1.30 | 1.06 | 1.07 | above |
| Match win rate | 46.0% | 45.9% | 46.3% | meets |
This profile matches the typical Level 8 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 Twistzz 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 599ms 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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 81 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 | 22 | 13–9 | 59% | -0.00 | |
| S | 15 | 10–5 | 67% | -0.00 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| A | 9 | 5–4 | 56% | -0.00 | |
| — | 4 | 2–2 | 50% | -0.03 | |
| — | 3 | 2–1 | 67% | -0.06 |
Across the last 81 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 21 | 43% | 0.90 | 13.7 |
| Dust2 | 20 | 45% | 1.09 | 14.8 |
| Anubis | 18 | 61% | 1.20 | 15.6 |
| Inferno | 17 | 65% | 1.29 | 17.2 |
| Cache | 13 | 62% | 1.02 | 14.9 |
| Ancient | 13 | 54% | 1.29 | 17.7 |
| Nuke | 12 | 58% | 1.21 | 16.9 |
| Overpass | 1 | 100% | 0.44 | 7.0 |
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 0.49 — 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 31.2295% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.03 | 27% | 23 Aug → | ||
| 2–13 | -0.11 | 14% | 23 Aug → | ||
| 13–11 | 0.00 | 12% | 20 Aug → | ||
| 4–13 | -0.11 | 5% | 13 Aug → | ||
| 10–13 | 0.04 | 14% | 10 Aug → | ||
| 13–11 | 0.03 | 18% | 6 Aug → | ||
| 7–13 | 0.03 | 28% | 4 Aug → | ||
| 13–8 | 0.05 | 19% | 22 Jul → | ||
| 13–7 | 0.02 | 19% | 22 Jul → | ||
| 13–5 | 0.02 | 19% | 22 Jul → | ||
| 8–13 | -0.07 | 31% | 20 Jul → | ||
| 8–13 | 0.01 | 23% | 26 May → | ||
| 13–9 | 0.05 | 27% | 26 May → | ||
| 8–13 | -0.08 | 13% | 19 May → | ||
| 13–8 | -0.06 | 12% | 19 May → | ||
| 13–9 | -0.05 | 7% | 19 May → | ||
| 13–11 | -0.02 | 12% | 18 May → | ||
| 10–13 | -0.02 | 16% | 16 May → | ||
| 13–8 | 0.02 | 28% | 16 May → | ||
| 13–11 | 0.07 | 25% | 13 May → | ||
| 13–7 | -0.03 | 19% | 13 May → | ||
| 13–11 | 0.07 | 16% | 13 May → | ||
| 6–13 | -0.06 | 17% | 13 May → | ||
| 13–8 | 0.11 | 14% | 13 May → | ||
| 8–13 | -0.07 | 22% | 12 May → | ||
| 9–13 | -0.03 | 16% | 12 May → | ||
| 13–5 | 0.02 | 29% | 12 May → | ||
| 13–3 | 0.02 | 17% | 12 May → | ||
| 11–13 | -0.04 | 14% | 12 May → | ||
| 11–13 | -0.07 | 10% | 11 May → | ||
| 13–9 | 0.05 | 24% | 11 May → | ||
| 13–16 | 0.03 | 18% | 11 May → | ||
| 12–16 | -0.02 | 15% | 11 May → | ||
| 13–11 | 0.01 | 24% | 11 May → | ||
| 13–6 | 0.02 | 18% | 10 May → | ||
| 7–2 | -0.05 | 25% | 9 May → | ||
| 13–4 | 0.04 | 17% | 7 May → | ||
| 13–10 | 0.02 | 26% | 6 May → | ||
| 13–11 | 0.10 | 28% | 6 May → | ||
| 13–7 | -0.04 | 16% | 5 May → | ||
| 4–13 | 0.01 | 17% | 3 May → | ||
| 4–13 | 0.04 | 25% | 3 May → | ||
| 13–1 | -0.00 | 18% | 3 May → | ||
| 8–1 | -0.00 | 8% | 2 May → | ||
| 13–5 | 0.06 | 25% | 2 May → | ||
| 9–13 | -0.03 | 19% | 30 Apr → | ||
| 5–13 | 0.00 | 25% | 30 Apr → | ||
| 13–8 | 0.02 | 18% | 30 Apr → | ||
| 3–13 | 0.09 | 19% | 30 Apr → | ||
| 6–13 | -0.06 | 13% | 30 Apr → | ||
| 13–8 | 0.01 | 20% | 29 Apr → | ||
| 15–15 | 0.02 | 19% | 29 Apr → | ||
| 10–13 | -0.04 | 10% | 29 Apr → | ||
| 13–7 | 0.01 | 10% | 29 Apr → | ||
| 16–12 | 0.05 | 14% | 28 Apr → | ||
| 13–7 | 0.02 | 16% | 28 Apr → | ||
| 6–13 | 0.04 | 22% | 28 Apr → | ||
| 13–7 | 0.05 | 23% | 28 Apr → | ||
| 13–8 | 0.01 | 13% | 24 Apr → | ||
| 6–13 | 0.01 | 22% | 24 Apr → | ||
| 11–13 | -0.02 | 12% | 18 Apr → | ||
| 9–13 | 0.01 | 22% | 16 Apr → | ||
| 13–11 | -0.03 | 20% | 16 Apr → | ||
| 8–13 | 0.05 | 23% | 15 Apr → | ||
| 6–13 | -0.07 | 24% | 15 Apr → | ||
| 13–10 | -0.02 | 5% | 15 Apr → | ||
| 13–7 | 0.01 | 16% | 13 Apr → | ||
| 16–14 | 0.05 | 18% | 13 Apr → | ||
| 13–3 | 0.04 | 25% | 13 Apr → | ||
| 2–13 | -0.06 | 11% | 13 Apr → | ||
| 13–6 | -0.03 | 22% | 13 Apr → | ||
| 13–3 | 0.01 | 17% | 13 Apr → | ||
| 13–5 | 0.05 | 13% | 8 Apr → | ||
| 13–11 | 0.01 | 19% | 8 Apr → | ||
| 5–13 | -0.01 | 19% | 28 Mar → | ||
| 13–7 | 0.02 | 11% | 17 Mar → | ||
| 13–5 | 0.08 | 23% | 14 Mar → | ||
| 13–8 | -0.04 | 35% | 17 Sept → | ||
| 4–13 | 0.05 | 22% | 10 Sept → | ||
| 3–13 | -0.06 | 26% | 12 Apr → | ||
| 9–16 | -0.16 | 13% | 19 May → |
Match data via Leetify.