Jewish Donk — CS2 Stats
76561198057163753[U:1:96898025]✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 36.9% | 47.2% | 49.0% | 12.1% short |
| Shot accuracy | 16.7% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.39 | 1.07 | 1.08 | above |
| Match win rate | 50.8% | 46.3% | 46.9% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 device 94% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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 90 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 29 | 15–14 | 52% | 0.03 | |
| C | 28 | 11–17 | 39% | 0.05 | |
| A | 23 | 13–10 | 57% | 0.05 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| — | 3 | 0–3 | 0% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (39% over 28). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 25 | 68% | 2.04 | 23.0 |
| Dust2 | 21 | 52% | 1.65 | 21.2 |
| Mirage | 20 | 55% | 1.56 | 21.6 |
| Nuke | 6 | 50% | 1.44 | 20.0 |
| Ancient | 6 | 67% | 1.78 | 23.5 |
| Anubis | 3 | 100% | 1.65 | 26.3 |
| Train | 2 | 100% | 1.42 | 17.0 |
| Overpass | 1 | 0% | 1.64 | 23.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.01 | 24% | 27 Aug → | ||
| 16–14 | 0.06 | 23% | 22 Aug → | ||
| 13–7 | 0.02 | 14% | 21 Aug → | ||
| 13–8 | 0.16 | 16% | 20 Aug → | ||
| 13–3 | 0.09 | 18% | 20 Aug → | ||
| 13–3 | 0.12 | 17% | 14 Aug → | ||
| 11–13 | 0.08 | 25% | 1 Aug → | ||
| 13–3 | 0.08 | 18% | 1 Aug → | ||
| 13–4 | 0.08 | 25% | 1 Aug → | ||
| 10–13 | 0.05 | 38% | 31 Jul → | ||
| 13–11 | -0.01 | 9% | 31 Jul → | ||
| 6–13 | 0.04 | 34% | 31 Jul → | ||
| 6–13 | -0.02 | 27% | 21 Jul → | ||
| 6–13 | 0.04 | 22% | 16 Jul → | ||
| 2–13 | -0.04 | 20% | 16 Jul → | ||
| 13–10 | 0.07 | 36% | 11 Jul → | ||
| 4–13 | 0.07 | 17% | 13 Jun → | ||
| 13–7 | -0.00 | 26% | 13 Jun → | ||
| 9–13 | -0.02 | 9% | 13 Jun → | ||
| 13–8 | 0.05 | 24% | 11 Jun → | ||
| 9–13 | 0.01 | 19% | 11 Jun → | ||
| 13–3 | 0.13 | 19% | 11 Jun → | ||
| 6–13 | 0.06 | 15% | 4 Jun → | ||
| 4–13 | 0.02 | 16% | 2 Jun → | ||
| 9–13 | -0.02 | 14% | 2 Jun → | ||
| 16–14 | -0.03 | 11% | 30 May → | ||
| 13–8 | 0.00 | 24% | 30 May → | ||
| 13–5 | 0.10 | 25% | 30 May → | ||
| 13–10 | 0.04 | 39% | 30 May → | ||
| 8–13 | 0.02 | 29% | 29 May → | ||
| 13–11 | 0.10 | 13% | 29 May → | ||
| 13–10 | 0.03 | 13% | 29 May → | ||
| 11–13 | 0.01 | 18% | 22 May → | ||
| 15–15 | 0.02 | 31% | 22 May → | ||
| 7–13 | -0.01 | 16% | 22 May → | ||
| 15–15 | -0.03 | 8% | 21 May → | ||
| 9–13 | 0.00 | 28% | 21 May → | ||
| 13–9 | -0.02 | 20% | 19 May → | ||
| 10–13 | -0.03 | 17% | 19 May → | ||
| 6–13 | -0.01 | 18% | 19 May → | ||
| 13–11 | 0.03 | 18% | 19 May → | ||
| 13–10 | 0.03 | 10% | 18 May → | ||
| 10–13 | -0.01 | 11% | 18 May → | ||
| 13–8 | -0.02 | 9% | 13 May → | ||
| 5–13 | 0.03 | 20% | 13 May → | ||
| 13–10 | 0.08 | 18% | 13 May → | ||
| 6–13 | 0.03 | 18% | 9 May → | ||
| 13–5 | 0.08 | 14% | 9 May → | ||
| 10–13 | -0.02 | 20% | 9 May → | ||
| 13–7 | 0.09 | 18% | 9 May → | ||
| 13–7 | 0.05 | 29% | 7 May → | ||
| 8–13 | 0.07 | 21% | 7 May → | ||
| 9–13 | 0.06 | 24% | 7 May → | ||
| 4–13 | 0.03 | 18% | 5 May → | ||
| 13–11 | -0.04 | 8% | 5 May → | ||
| 3–13 | 0.01 | 26% | 5 May → | ||
| 13–8 | 0.05 | 21% | 4 May → | ||
| 13–6 | 0.00 | 48% | 4 May → | ||
| 7–13 | 0.08 | 10% | 3 May → | ||
| 10–13 | 0.08 | 32% | 3 May → | ||
| 13–10 | -0.01 | 35% | 1 May → | ||
| 13–7 | 0.04 | 21% | 1 May → | ||
| 13–6 | 0.09 | 11% | 1 May → | ||
| 13–6 | 0.06 | 24% | 30 Apr → | ||
| 7–13 | 0.00 | 29% | 30 Apr → | ||
| 5–13 | 0.09 | 18% | 30 Apr → | ||
| 13–8 | 0.04 | 19% | 29 Apr → | ||
| 13–11 | 0.01 | 25% | 29 Apr → | ||
| 6–13 | 0.08 | 18% | 29 Apr → | ||
| 11–13 | 0.05 | 22% | 29 Apr → | ||
| 5–13 | 0.06 | 21% | 29 Apr → | ||
| 13–11 | 0.03 | 21% | 23 Apr → | ||
| 7–13 | 0.02 | 19% | 23 Apr → | ||
| 13–10 | -0.01 | 16% | 23 Apr → | ||
| 16–13 | 0.11 | 26% | 21 Apr → | ||
| 5–13 | -0.05 | 16% | 21 Apr → | ||
| 13–10 | 0.02 | 12% | 18 Apr → | ||
| 13–0 | 0.15 | 19% | 18 Apr → | ||
| 7–13 | 0.06 | 30% | 16 Apr → | ||
| 6–13 | -0.06 | 26% | 16 Apr → | ||
| 13–16 | 0.02 | 20% | 16 Apr → | ||
| 13–4 | 0.13 | 11% | 15 Apr → | ||
| 5–13 | 0.05 | 17% | 15 Apr → | ||
| 3–10 | -0.05 | 18% | 13 Apr → | ||
| 12–12 | 0.07 | 25% | 13 Apr → | ||
| 13–8 | 0.08 | 17% | 13 Apr → | ||
| 7–13 | 0.17 | 22% | 12 Apr → | ||
| 0–13 | -0.00 | 12% | 12 Apr → | ||
| 2–13 | -0.03 | 17% | 12 Apr → | ||
| 12–12 | 0.09 | 18% | 12 Apr → | ||
| 13–8 | -0.00 | 16% | 7 Apr → | ||
| 13–5 | 0.10 | 20% | 7 Apr → | ||
| 13–4 | 0.03 | 16% | 6 Apr → | ||
| 13–11 | 0.05 | 19% | 6 Apr → | ||
| 13–9 | 0.04 | 33% | 6 Apr → | ||
| 11–13 | -0.04 | 35% | 6 Apr → | ||
| 11–13 | 0.12 | 21% | 3 Apr → | ||
| 10–13 | 0.04 | 16% | 3 Apr → | ||
| 9–4 | 0.05 | 8% | 3 Apr → | ||
| 14–16 | 0.05 | 24% | 3 Apr → |
Match data via Leetify.