jks — CS2 Stats
PRO“ja”FlyQuestAustraliaRiflerSettings & gear profile →
AU76561197977105184[U:1:16839456]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,653
- Next: 4,000 ELO at 4,000 — 347 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 27,645
- Next: Gold band at 30,000 — 2,355 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 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 b1t 96% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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 95 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
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 8.0/10 (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 |
|---|---|---|---|---|---|
| S | 25 | 17–8 | 68% | 0.03 | |
| S | 25 | 22–3 | 88% | 0.04 | |
| A | 14 | 9–5 | 64% | 0.02 | |
| S | 11 | 8–3 | 73% | -0.00 | |
| S | 9 | 6–3 | 67% | 0.05 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.05 | |
| — | 2 | 0–2 | 0% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 332 | 64% | 1.80 | 21.0 |
| Anubis | 308 | 66% | 1.73 | 20.5 |
| Dust2 | 223 | 64% | 1.65 | 20.8 |
| Mirage | 192 | 64% | 1.74 | 20.9 |
| Vertigo | 81 | 74% | 1.83 | 21.1 |
| Nuke | 77 | 62% | 1.71 | 21.0 |
| Inferno | 42 | 67% | 1.72 | 21.0 |
| Train | 25 | 44% | 1.43 | 19.1 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–16 | -0.02 | 24% | 27 Aug → | ||
| 13–11 | 0.16 | 29% | 24 Aug → | ||
| 13–11 | 0.05 | 33% | 20 Aug → | ||
| 13–11 | -0.02 | 30% | 20 Aug → | ||
| 9–13 | 0.10 | 39% | 3 Aug → | ||
| 13–7 | 0.02 | 32% | 17 Jul → | ||
| 13–6 | 0.10 | 35% | 17 Jul → | ||
| 13–1 | 0.08 | 26% | 17 Jul → | ||
| 13–10 | 0.03 | 25% | 3 Jul → | ||
| 13–7 | 0.06 | 37% | 2 Jul → | ||
| 13–7 | 0.12 | 16% | 27 Jun → | ||
| 13–5 | 0.01 | 25% | 25 Jun → | ||
| 16–12 | 0.05 | 24% | 25 Jun → | ||
| 13–2 | 0.14 | 15% | 24 Jun → | ||
| 7–13 | -0.16 | 17% | 24 Jun → | ||
| 13–10 | 0.02 | 24% | 24 Jun → | ||
| 13–7 | 0.04 | 20% | 24 Jun → | ||
| 13–0 | 0.07 | 27% | 24 Jun → | ||
| 13–9 | 0.09 | 32% | 24 Jun → | ||
| 13–7 | 0.01 | 23% | 24 Jun → | ||
| 13–1 | 0.13 | 30% | 23 Jun → | ||
| 11–13 | 0.01 | 26% | 23 Jun → | ||
| 13–3 | 0.07 | 27% | 23 Jun → | ||
| 13–7 | 0.05 | 27% | 23 Jun → | ||
| 13–8 | 0.13 | 23% | 23 Jun → | ||
| 13–2 | 0.05 | 33% | 23 Jun → | ||
| 13–6 | 0.07 | 37% | 23 Jun → | ||
| 12–12 | 0.02 | 31% | 18 Jun → | ||
| 13–4 | 0.07 | 48% | 16 Jun → | ||
| 13–7 | 0.07 | 30% | 16 Jun → | ||
| 10–13 | -0.02 | 20% | 7 Jun → | ||
| 7–13 | -0.01 | 31% | 7 Jun → | ||
| 7–13 | -0.04 | 26% | 6 Jun → | ||
| 9–13 | 0.06 | 34% | 6 Jun → | ||
| 13–7 | 0.02 | 37% | 5 Jun → | ||
| 13–2 | 0.04 | 17% | 5 Jun → | ||
| 13–3 | 0.07 | 29% | 4 Jun → | ||
| 13–10 | -0.01 | 20% | 4 Jun → | ||
| 10–13 | -0.04 | 20% | 3 Jun → | ||
| 11–13 | 0.02 | 34% | 2 Jun → | ||
| 16–14 | -0.03 | 19% | 2 Jun → | ||
| 9–13 | -0.06 | 16% | 13 May → | ||
| 13–16 | -0.06 | 18% | 13 May → | ||
| 13–7 | -0.03 | 26% | 13 May → | ||
| 13–7 | 0.03 | 19% | 12 May → | ||
| 13–4 | 0.04 | 28% | 12 May → | ||
| 11–13 | -0.03 | 18% | 11 May → | ||
| 13–3 | 0.06 | 24% | 11 May → | ||
| 13–9 | 0.02 | 24% | 24 Apr → | ||
| 13–6 | 0.03 | 17% | 24 Apr → | ||
| 13–3 | 0.09 | 24% | 24 Apr → | ||
| 13–9 | 0.00 | 26% | 24 Apr → | ||
| 13–6 | 0.04 | 30% | 24 Apr → | ||
| 8–13 | 0.03 | 41% | 5 Apr → | ||
| 13–8 | 0.01 | 32% | 5 Apr → | ||
| 2–13 | -0.08 | 15% | 5 Apr → | ||
| 13–10 | 0.00 | 28% | 4 Apr → | ||
| 13–4 | 0.08 | 38% | 4 Apr → | ||
| 16–13 | -0.00 | 29% | 2 Apr → | ||
| 13–4 | 0.08 | 15% | 2 Apr → | ||
| 13–6 | 0.06 | 24% | 1 Apr → | ||
| 13–9 | 0.03 | 19% | 1 Apr → | ||
| 8–13 | 0.05 | 22% | 12 Mar → | ||
| 13–16 | -0.02 | 22% | 12 Mar → | ||
| 13–9 | 0.01 | 19% | 12 Mar → | ||
| 13–2 | 0.06 | 33% | 11 Mar → | ||
| 16–13 | -0.03 | 28% | 11 Mar → | ||
| 13–3 | 0.04 | 30% | 11 Mar → | ||
| 13–4 | -0.00 | 20% | 11 Mar → | ||
| 11–13 | -0.03 | 16% | 9 Mar → | ||
| 8–13 | -0.02 | 26% | 9 Mar → | ||
| 13–5 | 0.04 | 15% | 9 Mar → | ||
| 7–13 | -0.01 | 24% | 28 Feb → | ||
| 14–16 | 0.05 | 37% | 28 Feb → | ||
| 11–13 | -0.00 | 31% | 27 Feb → | ||
| 9–13 | -0.01 | 17% | 27 Feb → | ||
| 16–14 | 0.02 | 35% | 26 Feb → | ||
| 13–6 | 0.08 | 36% | 26 Feb → | ||
| 13–9 | 0.03 | 21% | 26 Feb → | ||
| 13–6 | 0.02 | 56% | 25 Feb → | ||
| 13–5 | 0.06 | 22% | 25 Feb → | ||
| 7–13 | -0.03 | 27% | 23 Feb → | ||
| 9–13 | -0.01 | 21% | 11 Feb → | ||
| 11–13 | 0.01 | 25% | 4 Feb → | ||
| 16–13 | 0.00 | 23% | 25 Jan → | ||
| 13–7 | -0.06 | 19% | 25 Jan → | ||
| 13–4 | 0.11 | 23% | 25 Jan → | ||
| 13–8 | 0.05 | 22% | 24 Jan → | ||
| 13–11 | 0.05 | 31% | 24 Jan → | ||
| 13–5 | 0.04 | 32% | 23 Jan → | ||
| 13–5 | 0.03 | 22% | 23 Jan → | ||
| 13–6 | 0.08 | 25% | 18 Jan → | ||
| 13–0 | 0.06 | 34% | 18 Jan → | ||
| 10–13 | 0.04 | 25% | 6 Jan → | ||
| 13–5 | 0.07 | 34% | 30 Dec → | ||
| 13–11 | 0.09 | 21% | 30 Dec → | ||
| 11–13 | 0.02 | 27% | 30 Nov → | ||
| 5–13 | -0.01 | 42% | 30 Nov → | ||
| 7–13 | 0.02 | 12% | 29 Nov → | ||
| 2–13 | -0.03 | 27% | 29 Nov → |
Match data via Leetify.