-Jaku — CS2 Stats
76561199015046344[U:1:1054780616]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashesHigh utility contribution
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 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: higher 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
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 76 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 597ms 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 6.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 25 | 10–15 | 40% | 0.01 | |
| C | 24 | 9–15 | 38% | -0.00 | |
| A | 23 | 14–9 | 61% | 0.01 | |
| B | 11 | 5–6 | 45% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.04 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.00 | |
| — | 1 | 1–0 | 100% | 0.09 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Mirage 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 775 | 46% | 1.08 | 16.8 |
| Ancient | 593 | 58% | 1.19 | 17.1 |
| Dust2 | 425 | 50% | 1.05 | 15.8 |
| Anubis | 372 | 50% | 1.05 | 16.6 |
| Inferno | 204 | 52% | 1.03 | 15.4 |
| Vertigo | 122 | 46% | 1.07 | 16.8 |
| Nuke | 87 | 44% | 1.07 | 16.2 |
| Overpass | 37 | 35% | 1.06 | 17.2 |
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
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 35.2958% — 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.
38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.10 | 18% | 15 Aug → | ||
| 16–19 | -0.04 | 19% | 10 Aug → | ||
| 8–13 | -0.00 | 19% | 10 Aug → | ||
| 9–4 | 0.18 | 65% | 6 Jul → | ||
| 13–8 | 0.03 | 29% | 24 May → | ||
| 19–16 | 0.06 | 23% | 8 May → | ||
| 6–13 | -0.03 | 38% | 6 May → | ||
| 7–13 | 0.07 | 27% | 6 May → | ||
| 13–10 | -0.03 | 36% | 29 Apr → | ||
| 13–8 | -0.01 | 17% | 28 Apr → | ||
| 13–11 | -0.01 | 24% | 27 Apr → | ||
| 13–8 | 0.08 | 32% | 24 Apr → | ||
| 16–13 | 0.02 | 24% | 23 Apr → | ||
| 13–3 | -0.00 | 50% | 23 Apr → | ||
| 17–19 | 0.00 | 25% | 22 Apr → | ||
| 11–13 | -0.01 | 20% | 22 Apr → | ||
| 13–8 | 0.04 | 25% | 27 Mar → | ||
| 13–7 | -0.01 | 59% | 24 Mar → | ||
| 9–13 | -0.00 | 28% | 24 Mar → | ||
| 14–16 | -0.07 | 21% | 18 Mar → | ||
| 13–8 | 0.00 | 28% | 11 Mar → | ||
| 16–13 | 0.07 | 30% | 8 Mar → | ||
| 13–16 | 0.04 | 25% | 7 Mar → | ||
| 12–16 | 0.01 | 20% | 6 Mar → | ||
| 13–11 | -0.01 | 20% | 16 Feb → | ||
| 16–13 | 0.06 | 27% | 9 Feb → | ||
| 6–13 | -0.06 | 12% | 1 Feb → | ||
| 2–13 | -0.03 | 17% | 23 Jan → | ||
| 13–5 | 0.02 | 19% | 23 Jan → | ||
| 4–13 | -0.08 | 26% | 23 Jan → | ||
| 13–8 | 0.08 | 30% | 23 Jan → | ||
| 13–2 | 0.04 | 39% | 23 Jan → | ||
| 13–11 | -0.02 | 33% | 23 Jan → | ||
| 16–14 | 0.09 | 32% | 16 Jan → | ||
| 8–13 | -0.05 | 24% | 15 Jan → | ||
| 10–13 | -0.03 | 23% | 14 Jan → | ||
| 13–4 | 0.04 | 34% | 14 Jan → | ||
| 25–22 | 0.00 | 21% | 14 Jan → | ||
| 13–6 | 0.06 | 24% | 6 Jan → | ||
| 13–3 | 0.09 | 24% | 29 Dec → | ||
| 12–12 | 0.07 | 22% | 29 Dec → | ||
| 13–3 | 0.03 | 33% | 22 Dec → | ||
| 13–10 | 0.01 | 23% | 18 Dec → | ||
| 13–8 | 0.00 | 22% | 17 Dec → | ||
| 5–13 | 0.06 | 19% | 27 Nov → | ||
| 4–13 | -0.05 | 38% | 26 Nov → | ||
| 7–13 | 0.08 | 30% | 22 Nov → | ||
| 10–13 | -0.03 | 19% | 22 Nov → | ||
| 7–13 | -0.02 | 15% | 20 Nov → | ||
| 13–9 | 0.05 | 18% | 18 Nov → | ||
| 13–4 | 0.07 | 16% | 12 Nov → | ||
| 13–8 | 0.12 | 27% | 7 Nov → | ||
| 8–13 | 0.01 | 18% | 7 Nov → | ||
| 19–16 | 0.01 | 15% | 5 Nov → | ||
| 13–5 | 0.06 | 24% | 5 Nov → | ||
| 13–10 | 0.02 | 25% | 3 Nov → | ||
| 6–13 | -0.02 | 21% | 13 Oct → | ||
| 13–8 | 0.01 | 27% | 13 Oct → | ||
| 12–16 | 0.00 | 18% | 10 Oct → | ||
| 11–13 | -0.04 | 14% | 7 Oct → | ||
| 12–16 | 0.02 | 29% | 7 Oct → | ||
| 16–19 | -0.00 | 24% | 6 Sept → | ||
| 3–13 | -0.07 | 33% | 2 Sept → | ||
| 13–11 | 0.01 | 28% | 15 Aug → | ||
| 20–22 | -0.01 | 19% | 5 Aug → | ||
| 6–13 | -0.00 | 24% | 1 Aug → | ||
| 10–13 | 0.03 | 22% | 31 Jul → | ||
| 8–13 | -0.01 | 41% | 31 Jul → | ||
| 13–11 | 0.01 | 20% | 27 Jul → | ||
| 20–22 | 0.03 | 19% | 26 Jul → | ||
| 9–13 | -0.01 | 32% | 22 Jul → | ||
| 13–11 | 0.05 | 18% | 21 Jul → | ||
| 13–8 | 0.09 | 18% | 18 Jul → | ||
| 4–13 | -0.01 | 20% | 10 Jul → | ||
| 13–8 | 0.04 | 30% | 6 Jul → | ||
| 11–13 | -0.02 | 12% | 17 Jun → | ||
| 13–2 | -0.04 | 13% | 17 Jun → | ||
| 5–13 | -0.09 | 18% | 17 Jun → | ||
| 5–13 | -0.06 | 26% | 15 Jun → | ||
| 9–13 | -0.08 | 0% | 12 Jun → | ||
| 4–13 | 0.06 | 32% | 11 Jun → | ||
| 1–13 | -0.16 | 38% | 9 Jun → | ||
| 11–13 | -0.01 | 24% | 26 May → | ||
| 8–13 | -0.00 | 23% | 19 May → | ||
| 19–17 | -0.00 | 21% | 13 May → | ||
| 11–13 | 0.02 | 29% | 7 May → | ||
| 13–10 | -0.02 | 16% | 7 May → | ||
| 13–9 | 0.03 | 19% | 29 Apr → | ||
| 13–9 | -0.03 | 21% | 28 Apr → | ||
| 16–14 | 0.03 | 22% | 28 Apr → | ||
| 10–13 | 0.07 | 31% | 25 Apr → | ||
| 13–16 | -0.04 | 22% | 15 Apr → | ||
| 5–12 | 0.02 | 27% | 12 Apr → | ||
| 6–13 | 0.05 | 38% | 1 Apr → | ||
| 19–15 | 0.03 | 27% | 26 Mar → | ||
| 13–8 | 0.06 | 26% | 25 Mar → | ||
| 13–8 | 0.09 | 25% | 25 Mar → | ||
| 11–13 | -0.04 | 21% | 21 Mar → | ||
| 17–19 | -0.03 | 20% | 7 Mar → | ||
| 17–19 | 0.01 | 24% | 7 Mar → |
Match data via Leetify.