Juul Cat — CS2 Stats
76561198799747253[U:1:839481525]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 ropz 81% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 643ms 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 4.5/10 (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 | 26 | 11–15 | 42% | 0.02 | |
| B | 21 | 10–11 | 48% | 0.02 | |
| S | 16 | 13–3 | 81% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| D | 8 | 1–7 | 13% | 0.03 | |
| office | — | 4 | 4–0 | 100% | 0.04 |
| — | 4 | 2–2 | 50% | 0.05 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.06 | |
| warden | — | 1 | 0–1 | 0% | -0.04 |
| alpine | — | 1 | 0–1 | 0% | 0.08 |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient 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.
- 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 11.673% — 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 0.4339 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.148% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–7 | 0.05 | 9% | 25 Aug → | |
| 13–5 | 0.04 | 9% | 25 Aug → | ||
| 11–13 | -0.10 | 17% | 15 Aug → | ||
| 13–5 | 0.08 | 7% | 7 Aug → | ||
| 11–13 | 0.05 | 11% | 2 Jul → | ||
| 13–4 | 0.14 | 16% | 22 Jun → | ||
| 5–13 | -0.03 | 9% | 8 Jun → | ||
| 8–13 | -0.07 | 7% | 4 Jun → | ||
| 7–13 | -0.03 | 14% | 4 Jun → | ||
| 16–12 | 0.02 | 16% | 4 Jun → | ||
| 1–8 | -0.06 | 6% | 3 Jun → | ||
| 13–10 | 0.11 | 8% | 3 Jun → | ||
| 16–12 | -0.01 | 9% | 1 Jun → | ||
| 13–7 | 0.03 | 12% | 1 Jun → | ||
| 5–13 | -0.01 | 6% | 27 May → | ||
| 3–13 | -0.01 | 12% | 27 May → | ||
| 13–9 | 0.09 | 15% | 27 May → | ||
| office | 13–10 | 0.08 | 8% | 27 May → | |
| 10–13 | 0.05 | 10% | 26 May → | ||
| 4–6 | 0.06 | 75% | 26 May → | ||
| 13–9 | 0.04 | 8% | 26 May → | ||
| 8–13 | -0.02 | 8% | 25 May → | ||
| 13–5 | 0.04 | 11% | 25 May → | ||
| 5–13 | 0.03 | 12% | 24 May → | ||
| 13–10 | 0.06 | 13% | 24 May → | ||
| 4–13 | -0.03 | 10% | 24 May → | ||
| 4–13 | 0.08 | 8% | 24 May → | ||
| 8–13 | 0.06 | 13% | 24 May → | ||
| 11–13 | 0.02 | 10% | 24 May → | ||
| 13–10 | 0.10 | 8% | 24 May → | ||
| 2–13 | -0.02 | 0% | 24 May → | ||
| 6–13 | 0.01 | 6% | 23 May → | ||
| 10–13 | -0.01 | 6% | 23 May → | ||
| warden | 10–13 | -0.04 | 19% | 23 May → | |
| 16–13 | -0.01 | 14% | 22 May → | ||
| 13–11 | -0.03 | 13% | 21 May → | ||
| 16–13 | 0.00 | 11% | 21 May → | ||
| 13–10 | 0.10 | 12% | 21 May → | ||
| 15–15 | -0.00 | 6% | 20 May → | ||
| 13–3 | 0.10 | 19% | 20 May → | ||
| 13–10 | 0.03 | 0% | 20 May → | ||
| 13–4 | 0.13 | 6% | 20 May → | ||
| 13–9 | 0.16 | 2% | 20 May → | ||
| 13–10 | 0.05 | 8% | 20 May → | ||
| 10–13 | -0.04 | 8% | 19 May → | ||
| 13–7 | 0.11 | 7% | 19 May → | ||
| 13–4 | 0.06 | 8% | 19 May → | ||
| 8–4 | 0.05 | 12% | 19 May → | ||
| 10–13 | 0.04 | 13% | 18 May → | ||
| 3–13 | -0.04 | 8% | 18 May → | ||
| office | 13–7 | 0.07 | 12% | 18 May → | |
| 8–13 | 0.01 | 8% | 15 May → | ||
| 13–5 | 0.06 | 24% | 15 May → | ||
| 10–13 | -0.01 | 7% | 15 May → | ||
| 13–9 | 0.10 | 10% | 15 May → | ||
| 10–13 | 0.00 | 9% | 13 May → | ||
| office | 13–3 | -0.04 | 14% | 13 May → | |
| 13–3 | 0.01 | 16% | 12 May → | ||
| 13–4 | 0.08 | 14% | 12 May → | ||
| 3–13 | 0.03 | 22% | 12 May → | ||
| 10–13 | -0.01 | 24% | 12 May → | ||
| 13–0 | 0.06 | 19% | 12 May → | ||
| 13–10 | 0.00 | 6% | 12 May → | ||
| 8–13 | -0.02 | 17% | 11 May → | ||
| 13–11 | -0.04 | 14% | 11 May → | ||
| 13–11 | -0.02 | 14% | 11 May → | ||
| 10–13 | -0.04 | 12% | 11 May → | ||
| 2–9 | -0.08 | 10% | 11 May → | ||
| 9–13 | -0.05 | 9% | 11 May → | ||
| 13–10 | -0.02 | 17% | 11 May → | ||
| 13–11 | 0.02 | 12% | 10 May → | ||
| 13–8 | 0.04 | 19% | 10 May → | ||
| 8–13 | -0.04 | 7% | 10 May → | ||
| 3–13 | 0.05 | 8% | 7 May → | ||
| 8–13 | 0.02 | 14% | 6 May → | ||
| alpine | 12–12 | 0.08 | 11% | 6 May → | |
| 7–13 | -0.00 | 10% | 6 May → | ||
| 13–9 | -0.00 | 23% | 6 May → | ||
| 13–11 | -0.01 | 6% | 5 May → | ||
| 1–7 | 0.04 | 11% | 5 May → | ||
| 4–13 | -0.01 | 10% | 4 May → | ||
| 13–3 | 0.11 | 8% | 4 May → | ||
| 9–13 | 0.03 | 11% | 4 May → | ||
| 16–14 | 0.07 | 7% | 4 May → | ||
| 11–13 | -0.02 | 11% | 2 May → | ||
| 7–13 | -0.03 | 9% | 30 Apr → | ||
| 11–13 | 0.07 | 5% | 30 Apr → | ||
| 14–16 | -0.04 | 8% | 29 Apr → | ||
| 16–14 | 0.10 | 5% | 29 Apr → | ||
| 13–6 | 0.05 | 8% | 29 Apr → | ||
| 4–13 | 0.05 | 17% | 28 Apr → | ||
| 13–3 | 0.02 | 8% | 28 Apr → | ||
| 13–9 | 0.05 | 3% | 28 Apr → | ||
| 5–13 | -0.01 | 17% | 28 Apr → | ||
| 5–13 | -0.05 | 15% | 28 Apr → | ||
| 11–13 | -0.05 | 3% | 27 Apr → | ||
| 11–13 | 0.00 | 6% | 27 Apr → | ||
| 13–9 | 0.04 | 13% | 27 Apr → | ||
| 13–5 | 0.03 | 5% | 27 Apr → | ||
| 13–6 | -0.00 | 10% | 27 Apr → |
Match data via Leetify.