JTjazzmatazz — CS2 Stats
76561198083000887[U:1:122735159]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong T-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 NiKo 88% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
CT openings. Opening success drops from 43% on T to 26% on CT — first contacts on the defending side are being lost.
Reaction time. 616ms 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 5.2/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 35 | 16–19 | 46% | 0.00 | |
| A | 26 | 16–10 | 62% | 0.01 | |
| C | 18 | 8–10 | 44% | -0.01 | |
| B | 17 | 8–9 | 47% | 0.00 | |
| — | 3 | 0–3 | 0% | -0.04 | |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 162 | 59% | 1.17 | 16.5 |
| Mirage | 125 | 46% | 1.11 | 15.3 |
| Ancient | 83 | 58% | 1.18 | 16.2 |
| Anubis | 69 | 48% | 1.07 | 16.7 |
| Inferno | 25 | 40% | 0.95 | 15.7 |
| Vertigo | 5 | 60% | 1.08 | 16.4 |
| Overpass | 4 | 25% | 0.74 | 10.8 |
| Nuke | 3 | 33% | 1.20 | 18.0 |
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.
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 25.9349% — 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.
44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.03 | 29% | 5 May → | ||
| 13–4 | 0.04 | 28% | 4 May → | ||
| 13–4 | 0.10 | 38% | 2 May → | ||
| 13–10 | 0.03 | 30% | 1 May → | ||
| 4–13 | -0.03 | 38% | 30 Apr → | ||
| 8–13 | -0.03 | 20% | 13 Apr → | ||
| 13–2 | 0.09 | 25% | 13 Apr → | ||
| 13–11 | 0.06 | 22% | 13 Apr → | ||
| 10–13 | -0.05 | 24% | 12 Apr → | ||
| 4–13 | -0.01 | 11% | 12 Apr → | ||
| 15–19 | -0.03 | 26% | 12 Apr → | ||
| 11–13 | -0.02 | 25% | 11 Apr → | ||
| 13–3 | -0.04 | 9% | 11 Apr → | ||
| 7–13 | -0.00 | 21% | 5 Apr → | ||
| 4–13 | -0.04 | 17% | 4 Apr → | ||
| 14–16 | 0.04 | 27% | 2 Apr → | ||
| 7–13 | 0.00 | 30% | 2 Apr → | ||
| 9–13 | -0.01 | 40% | 2 Apr → | ||
| 11–13 | -0.04 | 15% | 1 Apr → | ||
| 13–11 | 0.01 | 18% | 1 Apr → | ||
| 13–6 | 0.01 | 17% | 1 Apr → | ||
| 16–12 | -0.02 | 24% | 31 Mar → | ||
| 8–13 | -0.04 | 35% | 30 Mar → | ||
| 4–13 | -0.06 | 11% | 30 Mar → | ||
| 13–8 | -0.06 | 31% | 29 Mar → | ||
| 8–13 | 0.08 | 39% | 29 Mar → | ||
| 8–13 | -0.02 | 27% | 29 Mar → | ||
| 7–13 | -0.07 | 18% | 22 Mar → | ||
| 1–13 | -0.07 | 24% | 22 Mar → | ||
| 13–11 | -0.09 | 25% | 21 Mar → | ||
| 8–13 | -0.02 | 20% | 10 Mar → | ||
| 13–8 | 0.08 | 27% | 10 Mar → | ||
| 19–17 | -0.04 | 17% | 7 Mar → | ||
| 10–13 | 0.02 | 35% | 7 Mar → | ||
| 13–2 | 0.05 | 21% | 7 Mar → | ||
| 11–13 | -0.00 | 19% | 7 Mar → | ||
| 13–6 | 0.06 | 18% | 7 Mar → | ||
| 13–11 | -0.02 | 29% | 6 Mar → | ||
| 13–7 | 0.07 | 29% | 3 Mar → | ||
| 16–13 | -0.01 | 19% | 15 Feb → | ||
| 13–10 | 0.03 | 33% | 11 Feb → | ||
| 7–13 | -0.01 | 32% | 8 Feb → | ||
| 13–6 | -0.01 | 19% | 7 Feb → | ||
| 13–7 | 0.01 | 21% | 7 Feb → | ||
| 7–13 | 0.01 | 20% | 5 Feb → | ||
| 13–9 | -0.01 | 22% | 4 Feb → | ||
| 7–13 | -0.02 | 19% | 4 Feb → | ||
| 13–8 | 0.05 | 12% | 2 Feb → | ||
| 13–11 | -0.03 | 12% | 2 Feb → | ||
| 13–2 | 0.01 | 23% | 1 Feb → | ||
| 9–13 | -0.02 | 28% | 1 Feb → | ||
| 3–13 | -0.09 | 29% | 30 Jan → | ||
| 19–16 | -0.03 | 20% | 30 Jan → | ||
| 7–13 | -0.01 | 17% | 29 Jan → | ||
| 13–7 | 0.10 | 43% | 29 Jan → | ||
| 11–13 | 0.02 | 17% | 29 Jan → | ||
| 11–13 | -0.04 | 15% | 28 Jan → | ||
| 13–5 | 0.04 | 38% | 28 Jan → | ||
| 13–6 | -0.04 | 11% | 27 Jan → | ||
| 15–15 | -0.02 | 20% | 25 Jan → | ||
| 13–7 | 0.10 | 39% | 25 Jan → | ||
| 6–13 | -0.02 | 28% | 25 Jan → | ||
| 16–13 | 0.04 | 18% | 25 Jan → | ||
| 15–15 | 0.02 | 23% | 25 Jan → | ||
| 13–11 | -0.00 | 18% | 24 Jan → | ||
| 13–5 | -0.00 | 39% | 24 Jan → | ||
| 13–7 | 0.02 | 21% | 24 Jan → | ||
| 13–11 | 0.04 | 29% | 24 Jan → | ||
| 13–7 | 0.02 | 38% | 24 Jan → | ||
| 2–13 | -0.04 | 25% | 24 Jan → | ||
| 11–13 | 0.01 | 18% | 24 Jan → | ||
| 13–11 | -0.02 | 15% | 18 Jan → | ||
| 16–14 | 0.01 | 25% | 18 Jan → | ||
| 13–10 | 0.03 | 26% | 18 Jan → | ||
| 13–4 | 0.05 | 35% | 18 Jan → | ||
| 9–13 | 0.02 | 40% | 18 Jan → | ||
| 9–13 | -0.02 | 19% | 18 Jan → | ||
| 13–10 | 0.01 | 17% | 16 Jan → | ||
| 13–16 | 0.00 | 24% | 15 Jan → | ||
| 11–13 | -0.01 | 20% | 13 Jan → | ||
| 13–9 | 0.02 | 21% | 12 Jan → | ||
| 13–4 | 0.06 | 26% | 12 Jan → | ||
| 11–13 | 0.02 | 21% | 9 Jan → | ||
| 13–5 | -0.01 | 33% | 6 Jan → | ||
| 7–13 | -0.04 | 23% | 6 Jan → | ||
| 16–13 | 0.08 | 24% | 6 Jan → | ||
| 13–11 | -0.03 | 26% | 5 Jan → | ||
| 13–16 | -0.04 | 30% | 5 Jan → | ||
| 9–13 | -0.04 | 23% | 5 Jan → | ||
| 11–13 | -0.03 | 18% | 4 Jan → | ||
| 10–13 | -0.05 | 17% | 4 Jan → | ||
| 9–13 | -0.06 | 21% | 4 Jan → | ||
| 13–7 | -0.03 | 18% | 3 Jan → | ||
| 10–13 | -0.03 | 39% | 3 Jan → | ||
| 10–13 | 0.03 | 20% | 3 Jan → | ||
| 13–11 | 0.04 | 25% | 3 Jan → | ||
| 7–13 | -0.02 | 22% | 3 Jan → | ||
| 9–13 | 0.03 | 26% | 3 Jan → | ||
| 4–13 | -0.07 | 11% | 3 Jan → | ||
| 13–8 | 0.07 | 20% | 3 Jan → |
Match data via Leetify.