Jaysoos — CS2 Stats
76561198194376265[U:1:234110537]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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-duel success, utility contribution.
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
Reaction time. 586ms 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 |
|---|---|---|---|---|---|
| C | 32 | 12–20 | 38% | -0.02 | |
| A | 16 | 9–7 | 56% | -0.01 | |
| B | 14 | 7–7 | 50% | -0.00 | |
| B | 14 | 7–7 | 50% | -0.03 | |
| S | 9 | 6–3 | 67% | 0.00 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| grail | — | 2 | 1–1 | 50% | -0.03 |
| — | 1 | 0–1 | 0% | 0.00 | |
| jura | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 32). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 61% | 0.96 | 13.6 |
| Nuke | 11 | 55% | 0.92 | 12.6 |
| Ancient | 9 | 67% | 0.75 | 15.8 |
| Anubis | 7 | 43% | 1.25 | 14.3 |
| Dust2 | 3 | 0% | 0.79 | 14.0 |
| Train | 3 | 67% | 0.88 | 16.0 |
| Vertigo | 2 | 0% | 0.75 | 14.5 |
| Overpass | 2 | 0% | 0.68 | 11.0 |
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
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 34.2427% — 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 32 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–16 | -0.04 | 39% | 28 Aug → | ||
| 4–13 | -0.10 | 10% | 27 Aug → | ||
| 11–13 | -0.02 | 21% | 27 Aug → | ||
| 10–13 | -0.06 | 10% | 25 Aug → | ||
| 13–6 | -0.04 | 8% | 14 Aug → | ||
| 13–11 | 0.02 | 37% | 14 Aug → | ||
| 13–11 | 0.01 | 29% | 7 Aug → | ||
| 9–13 | 0.01 | 20% | 7 Aug → | ||
| 6–13 | -0.03 | 19% | 6 Aug → | ||
| 13–5 | 0.03 | 26% | 6 Aug → | ||
| 9–13 | -0.05 | 18% | 5 Aug → | ||
| 8–13 | -0.05 | 41% | 5 Aug → | ||
| 15–15 | 0.06 | 25% | 4 Aug → | ||
| 13–7 | -0.00 | 18% | 4 Aug → | ||
| 5–13 | -0.04 | 39% | 4 Aug → | ||
| 2–13 | -0.07 | 26% | 4 Aug → | ||
| 9–13 | 0.02 | 25% | 4 Aug → | ||
| 13–11 | -0.04 | 17% | 30 Jul → | ||
| 10–0 | -0.02 | 33% | 30 Jul → | ||
| 3–13 | -0.03 | 17% | 17 Jul → | ||
| 4–13 | -0.07 | 17% | 17 Jul → | ||
| 13–7 | 0.07 | 20% | 29 May → | ||
| 7–13 | 0.02 | 26% | 28 May → | ||
| 6–13 | -0.02 | 10% | 15 May → | ||
| 13–11 | -0.04 | 14% | 15 May → | ||
| 13–3 | 0.01 | 25% | 7 May → | ||
| 5–13 | -0.04 | 27% | 7 May → | ||
| 13–7 | 0.01 | 40% | 7 May → | ||
| 13–11 | 0.02 | 21% | 1 May → | ||
| 6–13 | -0.07 | 19% | 1 May → | ||
| 13–11 | 0.03 | 23% | 30 Apr → | ||
| 11–13 | -0.04 | 16% | 30 Apr → | ||
| 13–4 | 0.01 | 23% | 16 Dec → | ||
| 9–13 | -0.05 | 27% | 16 Dec → | ||
| 13–7 | -0.07 | 19% | 16 Dec → | ||
| 7–13 | 0.00 | 16% | 16 Dec → | ||
| 5–13 | -0.04 | 17% | 5 Dec → | ||
| 3–13 | -0.05 | 29% | 24 Nov → | ||
| 11–13 | 0.01 | 21% | 21 Nov → | ||
| 6–13 | -0.05 | 16% | 21 Nov → | ||
| 13–6 | -0.01 | 9% | 1 Jul → | ||
| 2–13 | -0.07 | 8% | 30 Jun → | ||
| 12–12 | -0.02 | 13% | 30 Jun → | ||
| 13–3 | 0.02 | 24% | 13 Jun → | ||
| 6–13 | -0.10 | 7% | 12 Jun → | ||
| 10–13 | -0.09 | 15% | 8 Jun → | ||
| 11–13 | -0.01 | 15% | 3 Jun → | ||
| 13–2 | 0.05 | 19% | 3 Jun → | ||
| 13–1 | 0.02 | 25% | 26 May → | ||
| 5–13 | -0.01 | 31% | 21 May → | ||
| 13–6 | -0.03 | 13% | 21 May → | ||
| 13–10 | -0.02 | 25% | 19 May → | ||
| 3–13 | -0.04 | 20% | 19 May → | ||
| 13–7 | 0.00 | 19% | 19 May → | ||
| 9–13 | -0.03 | 20% | 14 May → | ||
| 13–1 | -0.01 | 26% | 14 May → | ||
| 13–4 | 0.00 | 10% | 14 May → | ||
| 9–13 | 0.02 | 12% | 12 May → | ||
| 13–9 | 0.01 | 13% | 12 May → | ||
| 12–12 | -0.02 | 20% | 12 May → | ||
| 7–13 | 0.02 | 17% | 8 May → | ||
| 10–13 | -0.03 | 27% | 8 May → | ||
| 0–13 | -0.13 | 0% | 8 May → | ||
| grail | 13–2 | -0.04 | 15% | 8 May → | |
| jura | 13–11 | -0.04 | 13% | 8 May → | |
| grail | 5–13 | -0.03 | 16% | 8 May → | |
| 13–5 | 0.02 | 9% | 5 May → | ||
| 13–4 | 0.05 | 24% | 1 May → | ||
| 8–13 | -0.03 | 25% | 1 May → | ||
| 13–11 | -0.05 | 32% | 29 Apr → | ||
| 13–11 | -0.00 | 20% | 29 Apr → | ||
| 13–7 | 0.09 | 30% | 28 Apr → | ||
| 13–10 | -0.04 | 15% | 28 Apr → | ||
| 13–11 | 0.03 | 18% | 28 Apr → | ||
| 4–13 | -0.03 | 14% | 27 Apr → | ||
| 13–9 | -0.06 | 20% | 23 Apr → | ||
| 13–8 | 0.03 | 15% | 22 Apr → | ||
| 9–13 | -0.02 | 18% | 21 Apr → | ||
| 13–10 | 0.01 | 7% | 18 Apr → | ||
| 13–5 | -0.03 | 18% | 17 Apr → | ||
| 13–3 | 0.07 | 16% | 17 Apr → | ||
| 15–15 | -0.00 | 19% | 15 Apr → | ||
| 13–5 | 0.12 | 25% | 15 Apr → | ||
| 11–13 | -0.04 | 19% | 15 Apr → | ||
| 13–11 | -0.03 | 16% | 14 Apr → | ||
| 16–12 | 0.03 | 36% | 11 Apr → | ||
| 11–13 | -0.03 | 14% | 11 Apr → | ||
| 13–16 | -0.07 | 31% | 10 Apr → | ||
| 13–5 | 0.05 | 58% | 10 Apr → | ||
| 10–13 | -0.02 | 17% | 10 Apr → | ||
| 13–2 | 0.02 | 12% | 10 Apr → | ||
| 6–13 | -0.11 | 14% | 9 Apr → | ||
| 13–7 | -0.01 | 22% | 8 Apr → | ||
| 11–13 | -0.04 | 16% | 8 Apr → | ||
| 6–13 | -0.06 | 22% | 7 Apr → | ||
| 13–3 | 0.07 | 36% | 6 Apr → | ||
| 13–7 | -0.03 | 23% | 6 Apr → | ||
| 13–16 | -0.02 | 32% | 6 Apr → | ||
| 13–9 | 0.04 | 29% | 4 Apr → | ||
| 11–13 | -0.04 | 11% | 4 Apr → |
Match data via Leetify.