j4ydubz — CS2 Stats
76561197989692291[U:1:29426563]VAC banned
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 | 34.5% | 46.1% | 47.0% | 12.5% short |
| Shot accuracy | 11.3% | 12.6% | 12.7% | 1.4% short |
| Kill/death ratio | 1.05 | 1.05 | 1.07 | 0.03 short |
| Match win rate | 48.3% | 45.7% | 46.4% | above |
This profile matches the typical Level 8 player on 1 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Effective flashesLimited 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 NiKo 81% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower aim profile; lower opening-duel success.
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
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
Reaction time. 565ms 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 5.4/10 (Developing), 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 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 |
|---|---|---|---|---|---|
 dust2 | B | 54 | 26–28 | 48% | 0.01 |
 mirage | A | 11 | 7–4 | 64% | 0.01 |
 cache | D | 10 | 3–7 | 30% | -0.01 |
 nuke | B | 10 | 5–5 | 50% | -0.02 |
 inferno | D | 10 | 2–8 | 20% | -0.01 |
 train | — | 2 | 1–1 | 50% | 0.02 |
 ancient | — | 2 | 1–1 | 50% | -0.01 |
 anubis | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 10). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 83 | 69% | 1.22 | 15.6 |
| Mirage | 52 | 48% | 1.18 | 15.1 |
| Inferno | 35 | 57% | 1.25 | 16.3 |
| Nuke | 32 | 38% | 1.11 | 16.5 |
| Ancient | 29 | 48% | 1.08 | 16.6 |
| Anubis | 16 | 56% | 1.24 | 14.8 |
| Train | 8 | 50% | 0.91 | 15.5 |
| Cache | 2 | 100% | 0.87 | 15.5 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.993% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.3844 — below the 4 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 27.4542% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 19–15 | 0.01 | 9% | 30 Aug → | |
| dust2 | 4–13 | 0.02 | 11% | 29 Aug → | |
| cache | 16–14 | -0.03 | 12% | 27 Aug → | |
| dust2 | 13–5 | 0.08 | 5% | 23 Aug → | |
| nuke | 11–13 | -0.04 | 12% | 21 Aug → | |
| dust2 | 6–13 | -0.02 | 15% | 21 Aug → | |
| dust2 | 5–13 | 0.02 | 14% | 21 Aug → | |
| dust2 | 0–3 | -0.07 | 0% | 19 Aug → | |
| nuke | 0–4 | -0.05 | 0% | 19 Aug → | |
| mirage | 13–11 | 0.02 | 10% | 19 Aug → | |
| inferno | 6–13 | 0.03 | 9% | 15 Aug → | |
| mirage | 13–7 | 0.01 | 11% | 15 Aug → | |
| dust2 | 13–9 | -0.04 | 21% | 15 Aug → | |
| anubis | 8–13 | -0.02 | 16% | 15 Aug → | |
| nuke | 13–11 | -0.01 | 16% | 15 Aug → | |
| train | 13–5 | 0.05 | 13% | 12 Aug → | |
| dust2 | 13–10 | -0.01 | 22% | 12 Aug → | |
| dust2 | 13–5 | 0.01 | 12% | 9 Aug → | |
| nuke | 12–12 | 0.01 | 14% | 9 Aug → | |
| dust2 | 13–7 | 0.00 | 19% | 9 Aug → | |
| inferno | 7–13 | -0.01 | 20% | 9 Aug → | |
| dust2 | 7–13 | -0.05 | 18% | 5 Aug → | |
| inferno | 11–13 | 0.00 | 9% | 2 Aug → | |
| cache | 9–13 | -0.02 | 10% | 2 Aug → | |
| mirage | 13–9 | 0.00 | 23% | 2 Aug → | |
| dust2 | 13–7 | 0.01 | 27% | 2 Aug → | |
| dust2 | 13–11 | -0.07 | 12% | 1 Aug → | |
| dust2 | 7–13 | -0.03 | 14% | 1 Aug → | |
| mirage | 13–3 | 0.10 | 17% | 30 Jul → | |
| dust2 | 13–1 | 0.07 | 8% | 30 Jul → | |
| inferno | 7–13 | -0.04 | 7% | 19 Jul → | |
| mirage | 13–6 | -0.01 | 13% | 19 Jul → | |
| cache | 7–13 | -0.05 | 12% | 15 Jul → | |
| dust2 | 13–9 | 0.05 | 20% | 15 Jul → | |
| dust2 | 5–13 | 0.07 | 11% | 15 Jul → | |
| mirage | 9–13 | -0.04 | 16% | 7 Jul → | |
| dust2 | 7–13 | 0.02 | 14% | 5 Jul → | |
| mirage | 13–2 | 0.07 | 16% | 5 Jul → | |
| dust2 | 3–13 | -0.01 | 12% | 5 Jul → | |
| dust2 | 6–13 | 0.02 | 22% | 5 Jul → | |
| cache | 8–13 | -0.06 | 16% | 3 Jul → | |
| dust2 | 13–11 | 0.01 | 12% | 3 Jul → | |
| inferno | 4–13 | -0.04 | 14% | 3 Jul → | |
| dust2 | 12–12 | 0.01 | 23% | 1 Jul → | |
| cache | 12–12 | 0.05 | 18% | 1 Jul → | |
| dust2 | 11–13 | -0.01 | 18% | 20 Jun → | |
| dust2 | 13–2 | 0.13 | 10% | 20 Jun → | |
| dust2 | 13–8 | 0.07 | 19% | 19 Jun → | |
| dust2 | 12–12 | -0.05 | 8% | 13 Jun → | |
| mirage | 2–13 | -0.10 | 5% | 13 Jun → | |
| dust2 | 12–12 | 0.01 | 8% | 10 Jun → | |
| dust2 | 13–5 | 0.06 | 12% | 10 Jun → | |
| dust2 | 5–13 | -0.05 | 24% | 8 Jun → | |
| mirage | 13–6 | -0.01 | 13% | 8 Jun → | |
| cache | 6–13 | -0.02 | 11% | 6 Jun → | |
| dust2 | 12–12 | -0.02 | 19% | 6 Jun → | |
| dust2 | 13–8 | 0.03 | 8% | 3 Jun → | |
| dust2 | 13–7 | -0.01 | 17% | 3 Jun → | |
| dust2 | 13–8 | 0.09 | 8% | 24 May → | |
| cache | 3–13 | -0.03 | 21% | 24 May → | |
| dust2 | 6–13 | -0.05 | 12% | 13 May → | |
| cache | 13–8 | -0.02 | 10% | 6 May → | |
| cache | 12–12 | -0.03 | 16% | 5 May → | |
| cache | 13–6 | 0.10 | 9% | 28 Apr → | |
| dust2 | 4–13 | -0.04 | 23% | 22 Apr → | |
| dust2 | 12–12 | 0.02 | 10% | 22 Apr → | |
| dust2 | 13–8 | 0.01 | 24% | 20 Apr → | |
| mirage | 8–13 | 0.03 | 20% | 16 Apr → | |
| dust2 | 10–13 | 0.04 | 15% | 14 Apr → | |
| dust2 | 10–13 | 0.02 | 10% | 6 Apr → | |
| dust2 | 13–11 | 0.04 | 7% | 28 Mar → | |
| mirage | 1–13 | 0.03 | 24% | 19 Mar → | |
| dust2 | 9–13 | -0.02 | 7% | 16 Mar → | |
| dust2 | 12–12 | -0.01 | 16% | 15 Mar → | |
| nuke | 13–4 | 0.07 | 12% | 15 Mar → | |
| inferno | 12–12 | -0.05 | 5% | 3 Mar → | |
| dust2 | 13–7 | 0.07 | 18% | 26 Feb → | |
| nuke | 13–11 | -0.03 | 13% | 16 Feb → | |
| inferno | 10–13 | 0.02 | 15% | 5 Feb → | |
| dust2 | 8–5 | -0.01 | 13% | 5 Feb → | |
| train | 12–12 | -0.01 | 20% | 4 Feb → | |
| dust2 | 3–13 | -0.04 | 27% | 3 Feb → | |
| nuke | 3–13 | -0.01 | 5% | 2 Feb → | |
| dust2 | 13–11 | 0.03 | 17% | 2 Feb → | |
| dust2 | 9–2 | 0.18 | 3% | 2 Feb → | |
| nuke | 1–13 | -0.06 | 13% | 30 Jan → | |
| dust2 | 13–9 | 0.12 | 17% | 30 Jan → | |
| dust2 | 6–13 | 0.03 | 9% | 27 Jan → | |
| nuke | 13–6 | -0.01 | 13% | 26 Jan → | |
| ancient | 12–12 | -0.01 | 10% | 23 Jan → | |
| dust2 | 5–13 | 0.01 | 11% | 20 Jan → | |
| ancient | 13–6 | -0.00 | 5% | 19 Jan → | |
| nuke | 13–7 | -0.03 | 6% | 19 Jan → | |
| dust2 | 13–10 | 0.03 | 22% | 18 Jan → | |
| dust2 | 12–12 | 0.03 | 8% | 18 Jan → | |
| inferno | 10–13 | 0.01 | 10% | 13 Jan → | |
| dust2 | 10–13 | -0.05 | 18% | 13 Jan → | |
| inferno | 13–8 | -0.03 | 8% | 10 Jan → | |
| dust2 | 5–0 | -0.00 | 0% | 10 Jan → | |
| inferno | 13–10 | 0.00 | 10% | 10 Jan → |
Match data via Leetify.