jewish individual — CS2 Stats
US76561198024656936[U:1:64391208]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; lower opening-duel success.
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 85 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 598ms 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 5.9/10 (Solid), 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 | 20 | 8–12 | 40% | 0.01 | |
| D | 18 | 6–12 | 33% | 0.02 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| A | 14 | 9–5 | 64% | 0.02 | |
| S | 14 | 10–4 | 71% | -0.00 | |
| C | 11 | 4–7 | 36% | 0.00 | |
| D | 9 | 2–7 | 22% | -0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 2 | 100% | 1.39 | 22.0 |
| Ancient | 1 | 0% | 0.65 | 13.0 |
| Anubis | 1 | 0% | 0.71 | 12.0 |
| Dust2 | 1 | 100% | 1.33 | 20.0 |
| Mirage | 1 | 0% | 1.11 | 21.0 |
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.
- 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 0.4445 — 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 33.713% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.08 | 47% | 28 Aug → | ||
| 13–7 | 0.10 | 27% | 28 Aug → | ||
| 13–10 | 0.05 | 33% | 28 Aug → | ||
| 13–11 | -0.03 | 35% | 28 Aug → | ||
| 13–11 | 0.03 | 25% | 28 Aug → | ||
| 9–13 | 0.05 | 22% | 28 Aug → | ||
| 13–11 | -0.02 | 19% | 28 Aug → | ||
| 13–16 | 0.01 | 24% | 27 Aug → | ||
| 3–13 | -0.04 | 19% | 27 Aug → | ||
| 13–5 | 0.02 | 26% | 27 Aug → | ||
| 7–13 | -0.04 | 31% | 27 Aug → | ||
| 8–13 | 0.03 | 39% | 27 Aug → | ||
| 5–13 | -0.05 | 11% | 26 Aug → | ||
| 13–4 | -0.01 | 15% | 26 Aug → | ||
| 10–13 | -0.03 | 15% | 25 Aug → | ||
| 9–13 | 0.01 | 33% | 25 Aug → | ||
| 8–13 | -0.03 | 32% | 25 Aug → | ||
| 13–9 | 0.06 | 23% | 25 Aug → | ||
| 8–1 | -0.02 | 13% | 25 Aug → | ||
| 8–13 | -0.04 | 18% | 24 Aug → | ||
| 9–13 | -0.00 | 14% | 24 Aug → | ||
| 8–13 | 0.01 | 16% | 24 Aug → | ||
| 8–13 | 0.06 | 10% | 23 Aug → | ||
| 5–13 | -0.02 | 22% | 23 Aug → | ||
| 6–13 | 0.04 | 13% | 23 Aug → | ||
| 13–9 | 0.03 | 29% | 23 Aug → | ||
| 11–13 | -0.00 | 34% | 23 Aug → | ||
| 13–10 | 0.04 | 21% | 21 Aug → | ||
| 13–5 | 0.10 | 21% | 21 Aug → | ||
| 13–5 | 0.09 | 24% | 21 Aug → | ||
| 13–10 | 0.01 | 20% | 21 Aug → | ||
| 16–13 | 0.00 | 13% | 21 Aug → | ||
| 6–13 | -0.07 | 6% | 19 Aug → | ||
| 13–9 | 0.01 | 27% | 19 Aug → | ||
| 4–13 | -0.07 | 33% | 18 Aug → | ||
| 11–13 | 0.02 | 18% | 18 Aug → | ||
| 15–15 | 0.04 | 38% | 18 Aug → | ||
| 10–13 | -0.06 | 25% | 18 Aug → | ||
| 10–13 | 0.04 | 42% | 15 Aug → | ||
| 13–3 | 0.05 | 23% | 15 Aug → | ||
| 15–15 | 0.03 | 15% | 15 Aug → | ||
| 13–7 | 0.05 | 11% | 15 Aug → | ||
| 16–14 | 0.02 | 17% | 14 Aug → | ||
| 3–13 | -0.05 | 29% | 13 Aug → | ||
| 8–13 | -0.03 | 21% | 13 Aug → | ||
| 13–9 | 0.03 | 31% | 12 Aug → | ||
| 13–3 | 0.01 | 31% | 12 Aug → | ||
| 13–11 | 0.02 | 20% | 11 Aug → | ||
| 9–13 | 0.10 | 22% | 11 Aug → | ||
| 13–11 | 0.04 | 25% | 11 Aug → | ||
| 13–11 | 0.04 | 23% | 11 Aug → | ||
| 10–13 | 0.00 | 25% | 9 Aug → | ||
| 11–13 | 0.00 | 36% | 9 Aug → | ||
| 8–13 | 0.08 | 24% | 9 Aug → | ||
| 16–14 | -0.02 | 22% | 9 Aug → | ||
| 16–14 | 0.04 | 47% | 8 Aug → | ||
| 11–13 | 0.08 | 39% | 8 Aug → | ||
| 7–13 | -0.05 | 0% | 8 Aug → | ||
| 11–13 | -0.05 | 15% | 8 Aug → | ||
| 6–13 | -0.04 | 11% | 7 Aug → | ||
| 6–13 | -0.09 | 28% | 7 Aug → | ||
| 7–13 | -0.02 | 44% | 7 Aug → | ||
| 13–10 | -0.03 | 29% | 7 Aug → | ||
| 8–13 | -0.04 | 21% | 7 Aug → | ||
| 8–13 | 0.02 | 31% | 7 Aug → | ||
| 13–5 | 0.02 | 14% | 7 Aug → | ||
| 10–13 | -0.03 | 35% | 7 Aug → | ||
| 13–5 | 0.09 | 31% | 7 Aug → | ||
| 11–13 | -0.02 | 30% | 7 Aug → | ||
| 7–13 | 0.01 | 41% | 6 Aug → | ||
| 9–13 | -0.01 | 25% | 6 Aug → | ||
| 15–15 | 0.06 | 34% | 6 Aug → | ||
| 16–12 | 0.08 | 42% | 6 Aug → | ||
| 8–13 | 0.04 | 22% | 6 Aug → | ||
| 8–13 | -0.02 | 21% | 5 Aug → | ||
| 10–13 | -0.01 | 17% | 5 Aug → | ||
| 13–6 | 0.02 | 13% | 5 Aug → | ||
| 11–13 | 0.03 | 22% | 5 Aug → | ||
| 13–9 | -0.02 | 32% | 5 Aug → | ||
| 13–16 | -0.02 | 42% | 5 Aug → | ||
| 9–13 | 0.02 | 45% | 5 Aug → | ||
| 13–5 | -0.06 | 39% | 5 Aug → | ||
| 2–13 | 0.09 | 41% | 5 Aug → | ||
| 13–5 | -0.01 | 42% | 5 Aug → | ||
| 7–13 | -0.03 | 15% | 5 Aug → | ||
| 12–16 | 0.01 | 18% | 5 Aug → | ||
| 4–13 | -0.05 | 24% | 4 Aug → | ||
| 13–3 | 0.07 | 32% | 4 Aug → | ||
| 13–4 | -0.04 | 27% | 4 Aug → | ||
| 13–7 | -0.03 | 15% | 30 Jul → | ||
| 13–9 | 0.03 | 23% | 30 Jul → | ||
| 13–8 | -0.04 | 22% | 30 Jul → | ||
| 13–9 | 0.02 | 31% | 30 Jul → | ||
| 13–9 | -0.02 | 29% | 30 Jul → | ||
| 13–7 | -0.03 | 14% | 30 Jul → | ||
| 13–6 | -0.05 | 24% | 30 Jul → | ||
| 13–3 | -0.00 | 35% | 30 Jul → | ||
| 11–13 | -0.03 | 11% | 29 Jul → | ||
| 6–13 | -0.03 | 22% | 29 Jul → | ||
| 13–3 | 0.04 | 22% | 29 Jul → |
Match data via Leetify.