jewishsavior — CS2 Stats
76561199656038144[U:1:1695772416]✓ No bans
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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: Clutch Specialist — Late-round 1vX conversion well above par.
Reliable in 1v1s
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 77% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-fight frequency; 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. 604ms 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 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 23 | 12–11 | 52% | -0.01 | |
| S | 18 | 12–6 | 67% | -0.00 | |
| A | 16 | 9–7 | 56% | 0.01 | |
| A | 14 | 9–5 | 64% | 0.02 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| A | 10 | 6–4 | 60% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 25% | 0.79 | 11.8 |
| Dust2 | 3 | 33% | 0.48 | 7.3 |
| Ancient | 1 | 100% | 0.76 | 13.0 |
| Anubis | 1 | 0% | 0.62 | 18.0 |
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.
- 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 14.6285% — 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 0.4745 — below the 0.5 mark we flag
- 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 21.6016% — 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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.08 | 15% | 28 Aug → | ||
| 16–14 | 0.01 | 9% | 23 Aug → | ||
| 12–12 | 0.10 | 12% | 23 Aug → | ||
| 5–13 | -0.05 | 12% | 23 Aug → | ||
| 13–10 | -0.07 | 16% | 23 Aug → | ||
| 11–13 | -0.03 | 16% | 23 Aug → | ||
| 13–7 | -0.01 | 19% | 23 Aug → | ||
| 8–13 | -0.01 | 17% | 20 Aug → | ||
| 7–13 | -0.00 | 15% | 18 Aug → | ||
| 13–1 | 0.04 | 13% | 18 Aug → | ||
| 13–9 | 0.01 | 12% | 18 Aug → | ||
| 10–13 | -0.06 | 7% | 17 Aug → | ||
| 11–13 | -0.07 | 7% | 17 Aug → | ||
| 10–13 | -0.03 | 19% | 17 Aug → | ||
| 6–13 | 0.01 | 8% | 16 Aug → | ||
| 13–2 | 0.01 | 17% | 16 Aug → | ||
| 10–13 | -0.02 | 12% | 13 Aug → | ||
| 7–13 | 0.07 | 15% | 10 Aug → | ||
| 11–13 | 0.00 | 23% | 10 Aug → | ||
| 13–4 | -0.00 | 20% | 10 Aug → | ||
| 13–5 | 0.01 | 13% | 10 Aug → | ||
| 7–13 | 0.01 | 14% | 10 Aug → | ||
| 13–9 | -0.00 | 13% | 27 Jul → | ||
| 2–13 | 0.02 | 16% | 21 Jul → | ||
| 13–8 | -0.03 | 13% | 21 Jul → | ||
| 11–13 | -0.01 | 23% | 20 Jul → | ||
| 13–11 | -0.00 | 25% | 20 Jul → | ||
| 6–13 | -0.06 | 11% | 20 Jul → | ||
| 13–1 | 0.17 | 22% | 20 Jul → | ||
| 11–4 | -0.01 | 6% | 20 Jul → | ||
| 9–13 | -0.07 | 14% | 20 Jul → | ||
| 4–9 | -0.01 | 23% | 20 Jul → | ||
| 13–2 | 0.07 | 16% | 20 Jul → | ||
| 13–5 | 0.04 | 16% | 20 Jul → | ||
| 13–10 | 0.07 | 18% | 20 Jul → | ||
| 13–10 | 0.06 | 22% | 20 Jul → | ||
| 13–4 | 0.04 | 16% | 20 Jul → | ||
| 13–7 | -0.03 | 16% | 19 Jul → | ||
| 5–13 | -0.01 | 18% | 19 Jul → | ||
| 11–13 | -0.03 | 14% | 14 Jul → | ||
| 9–13 | -0.05 | 16% | 14 Jul → | ||
| 6–13 | -0.03 | 12% | 14 Jul → | ||
| 13–8 | -0.01 | 13% | 14 Jul → | ||
| 13–6 | 0.07 | 11% | 13 Jul → | ||
| 13–8 | 0.07 | 11% | 13 Jul → | ||
| 4–13 | 0.06 | 11% | 13 Jul → | ||
| 9–13 | 0.16 | 16% | 13 Jul → | ||
| 10–13 | -0.03 | 14% | 13 Jul → | ||
| 7–13 | -0.03 | 13% | 12 Jul → | ||
| 13–8 | -0.01 | 12% | 12 Jul → | ||
| 13–4 | 0.00 | 6% | 12 Jul → | ||
| 3–13 | -0.02 | 22% | 12 Jul → | ||
| 13–8 | -0.01 | 10% | 7 Jul → | ||
| 13–0 | 0.00 | 12% | 7 Jul → | ||
| 13–9 | 0.02 | 19% | 7 Jul → | ||
| 13–7 | 0.01 | 11% | 6 Jul → | ||
| 9–13 | 0.01 | 10% | 3 Jul → | ||
| 13–5 | -0.02 | 23% | 3 Jul → | ||
| 1–9 | -0.06 | 17% | 29 Jun → | ||
| 10–13 | -0.08 | 18% | 29 Jun → | ||
| 13–6 | -0.08 | 21% | 23 Jun → | ||
| 13–9 | -0.01 | 24% | 23 Jun → | ||
| 13–3 | 0.02 | 21% | 23 Jun → | ||
| 13–5 | 0.02 | 22% | 22 Jun → | ||
| 13–10 | -0.01 | 13% | 22 Jun → | ||
| 13–3 | -0.01 | 23% | 22 Jun → | ||
| 13–11 | 0.03 | 11% | 8 Jun → | ||
| 13–8 | -0.01 | 15% | 8 Jun → | ||
| 13–8 | -0.02 | 16% | 8 Jun → | ||
| 2–5 | 0.05 | 22% | 8 Jun → | ||
| 7–13 | -0.03 | 11% | 26 May → | ||
| 13–6 | 0.04 | 13% | 23 May → | ||
| 8–13 | 0.03 | 21% | 22 May → | ||
| 13–3 | 0.06 | 18% | 21 May → | ||
| 7–13 | -0.02 | 21% | 19 May → | ||
| 13–11 | -0.06 | 8% | 19 May → | ||
| 7–13 | 0.00 | 19% | 18 May → | ||
| 13–4 | 0.04 | 14% | 18 May → | ||
| 13–11 | 0.01 | 18% | 15 May → | ||
| 12–12 | -0.05 | 14% | 13 May → | ||
| 13–8 | 0.08 | 13% | 12 May → | ||
| 13–11 | -0.01 | 18% | 9 May → | ||
| 13–10 | -0.04 | 21% | 8 May → | ||
| 14–16 | -0.04 | 8% | 8 May → | ||
| 13–10 | 0.09 | 24% | 8 May → | ||
| 13–9 | -0.02 | 23% | 8 May → | ||
| 16–14 | 0.04 | 18% | 8 May → | ||
| 6–13 | 0.00 | 26% | 7 May → | ||
| 13–4 | 0.02 | 32% | 6 May → | ||
| 5–13 | -0.11 | 11% | 6 May → | ||
| 2–13 | -0.14 | 7% | 6 May → | ||
| 13–10 | 0.01 | 12% | 6 May → | ||
| 8–13 | -0.01 | 24% | 6 May → | ||
| 13–2 | 0.02 | 17% | 2 May → | ||
| 13–9 | 0.03 | 12% | 2 May → | ||
| 4–7 | -0.08 | 11% | 2 May → | ||
| 11–13 | -0.01 | 11% | 1 May → | ||
| 13–8 | -0.02 | 7% | 1 May → | ||
| 13–6 | -0.00 | 22% | 1 May → | ||
| 13–0 | 0.12 | 28% | 1 May → |
Match data via Leetify.
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