LyJK — CS2 Stats
76561199044820759[U:1:1084555031]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 avg rating
Player DNA
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 60% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower 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
Areas to improve
T-side openings. Opening success drops from 40% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 670ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 55% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.5/10 (Learning), 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 93 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 |
|---|---|---|---|---|---|
 cache | B | 29 | 14–15 | 48% | -0.01 |
 inferno | A | 14 | 9–5 | 64% | -0.04 |
 anubis | S | 9 | 6–3 | 67% | -0.02 |
 train | C | 8 | 3–5 | 38% | 0.02 |
 nuke | D | 8 | 2–6 | 25% | -0.02 |
 mirage | C | 7 | 3–4 | 43% | -0.03 |
 dust2 | D | 6 | 2–4 | 33% | -0.02 |
 ancient | — | 4 | 1–3 | 25% | -0.06 |
 vertigo | — | 4 | 2–2 | 50% | 0.01 |
 overpass | — | 2 | 1–1 | 50% | 0.03 |
| poseidon | — | 1 | 1–0 | 100% | -0.03 |
| office | — | 1 | 0–1 | 0% | -0.04 |
Across the last 93 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0876° — above the 12° mark we flag
- 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 9.9856% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.1786 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| train | 7–13 | 0.02 | 14% | 18 Aug → | |
| cache | 11–13 | -0.08 | 15% | 8 Aug → | |
| nuke | 13–7 | -0.07 | 12% | 7 Aug → | |
| ancient | 7–13 | -0.02 | 20% | 5 Aug → | |
| vertigo | 12–12 | -0.02 | 7% | 5 Aug → | |
| vertigo | 13–2 | 0.08 | 11% | 31 Jul → | |
| anubis | 11–13 | -0.01 | 11% | 16 Jul → | |
| dust2 | 8–13 | -0.05 | 7% | 16 Jul → | |
| inferno | 13–7 | -0.04 | 8% | 16 Jul → | |
| train | 13–6 | -0.01 | 16% | 15 Jul → | |
| dust2 | 13–1 | -0.00 | 12% | 15 Jul → | |
| train | 12–12 | -0.01 | 16% | 9 Jul → | |
| inferno | 13–7 | -0.07 | 10% | 8 Jul → | |
| ancient | 3–13 | -0.06 | 12% | 8 Jul → | |
| ancient | 13–4 | -0.04 | 6% | 6 Jul → | |
| cache | 13–4 | -0.00 | 13% | 3 Jul → | |
| cache | 13–1 | -0.04 | 7% | 2 Jul → | |
| inferno | 13–11 | -0.03 | 6% | 28 Jun → | |
| cache | 10–13 | -0.03 | 12% | 27 Jun → | |
| inferno | 1–13 | -0.08 | 14% | 27 Jun → | |
| cache | 8–13 | -0.00 | 13% | 25 Jun → | |
| anubis | 11–10 | -0.07 | 6% | 25 Jun → | |
| anubis | 9–13 | -0.03 | 6% | 25 Jun → | |
| mirage | 8–13 | -0.04 | 5% | 24 Jun → | |
| overpass | 13–11 | 0.06 | 6% | 24 Jun → | |
| cache | 13–3 | 0.09 | 11% | 24 Jun → | |
| mirage | 13–9 | -0.07 | 6% | 24 Jun → | |
| cache | 13–2 | -0.05 | 5% | 23 Jun → | |
| mirage | 13–4 | 0.05 | 7% | 23 Jun → | |
| mirage | 7–13 | 0.01 | 9% | 23 Jun → | |
| train | 13–10 | 0.01 | 7% | 18 Jun → | |
| train | 7–13 | 0.03 | 12% | 18 Jun → | |
| train | 6–13 | -0.01 | 5% | 18 Jun → | |
| inferno | 13–10 | 0.02 | 6% | 15 Jun → | |
| cache | 5–13 | -0.03 | 7% | 14 Jun → | |
| cache | 13–7 | 0.06 | 12% | 10 Jun → | |
| cache | 1–13 | -0.02 | 8% | 10 Jun → | |
| vertigo | 9–13 | -0.01 | 10% | 5 Jun → | |
| vertigo | 13–8 | -0.01 | 16% | 5 Jun → | |
| inferno | 13–9 | -0.01 | 6% | 29 May → | |
| anubis | 13–4 | -0.04 | 14% | 28 May → | |
| cache | 13–6 | 0.03 | 6% | 26 May → | |
| inferno | 13–2 | -0.01 | 10% | 26 May → | |
| dust2 | 9–13 | -0.06 | 7% | 18 May → | |
| cache | 13–0 | -0.06 | 7% | 15 May → | |
| cache | 13–5 | 0.09 | 2% | 15 May → | |
| cache | 13–4 | -0.01 | 4% | 15 May → | |
| cache | 12–12 | -0.00 | 6% | 14 May → | |
| cache | 9–13 | -0.03 | 5% | 14 May → | |
| cache | 4–13 | -0.01 | 8% | 14 May → | |
| cache | 12–12 | -0.07 | 8% | 13 May → | |
| cache | 8–13 | -0.03 | 4% | 13 May → | |
| inferno | 13–4 | 0.00 | 10% | 13 May → | |
| inferno | 13–4 | -0.05 | 7% | 12 May → | |
| cache | 8–13 | -0.06 | 3% | 12 May → | |
| nuke | 8–13 | 0.01 | 9% | 12 May → | |
| anubis | 13–5 | 0.01 | 11% | 11 May → | |
| nuke | 10–13 | -0.04 | 7% | 11 May → | |
| cache | 11–13 | -0.04 | 7% | 11 May → | |
| cache | 13–10 | 0.00 | 9% | 11 May → | |
| cache | 13–8 | 0.04 | 7% | 11 May → | |
| cache | 1–13 | -0.08 | 3% | 11 May → | |
| cache | 13–11 | 0.01 | 13% | 9 May → | |
| cache | 5–13 | 0.01 | 20% | 9 May → | |
| cache | 13–8 | -0.01 | 13% | 9 May → | |
| cache | 13–9 | 0.01 | 7% | 9 May → | |
| cache | 5–13 | -0.05 | 11% | 9 May → | |
| nuke | 8–13 | -0.01 | 14% | 9 May → | |
| poseidon | 9–5 | -0.03 | 5% | 14 Mar → | |
| inferno | 9–2 | -0.02 | 4% | 14 Mar → | |
| overpass | 11–13 | -0.00 | 9% | 14 Mar → | |
| inferno | 9–13 | -0.09 | 5% | 8 Mar → | |
| ancient | 6–13 | -0.10 | 4% | 8 Mar → | |
| inferno | 11–13 | -0.12 | 8% | 8 Mar → | |
| nuke | 8–13 | -0.09 | 4% | 4 Mar → | |
| inferno | 4–13 | -0.01 | 13% | 4 Mar → | |
| mirage | 13–3 | -0.02 | 5% | 4 Mar → | |
| mirage | 5–13 | -0.04 | 7% | 4 Mar → | |
| dust2 | 13–4 | -0.03 | 2% | 4 Mar → | |
| dust2 | 7–13 | 0.04 | 15% | 4 Mar → | |
| anubis | 4–4 | -0.03 | 4% | 28 Feb → | |
| dust2 | 9–13 | -0.01 | 5% | 28 Feb → | |
| nuke | 10–13 | -0.02 | 7% | 28 Feb → | |
| train | 13–7 | 0.10 | 16% | 26 Feb → | |
| office | 12–12 | -0.04 | 13% | 25 Feb → | |
| train | 12–12 | -0.00 | 12% | 25 Feb → | |
| anubis | 13–5 | 0.03 | 14% | 25 Feb → | |
| nuke | 13–8 | 0.07 | 7% | 25 Feb → | |
| nuke | 12–12 | -0.02 | 0% | 18 Feb → | |
| anubis | 12–12 | -0.03 | 4% | 5 Feb → | |
| anubis | 13–1 | -0.03 | 11% | 5 Feb → | |
| mirage | 1–13 | -0.08 | 8% | 5 Feb → | |
| inferno | 3–13 | -0.07 | 4% | 3 Feb → |
Match data via Leetify.