Jeffrey Epstein Gaming — CS2 Stats
IL76561198343239356[U:1:382973628]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,162
- Next: Level 6 at 1,201 — 39 to go
- Reached: Level 5 · Level 4 · Level 3 · Level 2
- Level 5 first seen 2026-08-28
- Level 4 first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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: utility contribution, positioning profile.
Where you differ: higher 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. 577ms 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 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 25 | 11–14 | 44% | 0.01 | |
| office | A | 20 | 12–8 | 60% | 0.03 |
| C | 12 | 5–7 | 42% | -0.00 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| — | 3 | 3–0 | 100% | 0.06 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| alpine | — | 1 | 1–0 | 100% | 0.05 |
| palacio | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 28 | 29% | 0.86 | 14.4 |
| Inferno | 26 | 50% | 1.06 | 16.3 |
| Dust2 | 20 | 45% | 0.94 | 17.1 |
| Nuke | 19 | 68% | 1.11 | 18.7 |
| Ancient | 15 | 40% | 0.90 | 14.5 |
| Anubis | 12 | 58% | 0.94 | 13.3 |
| Train | 5 | 100% | 0.92 | 14.4 |
| Overpass | 3 | 67% | 0.94 | 12.7 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6978 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 11–13 | 0.09 | 21% | 13 Aug → | |
| office | 10–7 | 0.12 | 27% | 1 Aug → | |
| office | 12–12 | 0.01 | 15% | 29 Jul → | |
| 11–13 | -0.05 | 19% | 24 Jul → | ||
| 10–13 | -0.05 | 14% | 21 Jul → | ||
| 13–2 | 0.03 | 23% | 18 Jul → | ||
| office | 13–8 | -0.00 | 14% | 18 Jul → | |
| office | 13–9 | 0.03 | 24% | 18 Jul → | |
| 10–13 | 0.00 | 10% | 16 Jul → | ||
| office | 13–4 | 0.07 | 50% | 15 Jul → | |
| office | 13–8 | 0.06 | 23% | 10 Jul → | |
| 16–14 | 0.03 | 12% | 9 Jul → | ||
| 13–10 | -0.03 | 38% | 9 Jul → | ||
| 6–13 | -0.02 | 13% | 9 Jul → | ||
| 13–9 | 0.02 | 16% | 9 Jul → | ||
| 6–13 | -0.09 | 0% | 8 Jul → | ||
| 13–6 | -0.03 | 19% | 8 Jul → | ||
| 13–9 | 0.05 | 16% | 4 Jul → | ||
| 4–13 | 0.04 | 13% | 2 Jul → | ||
| 3–13 | 0.02 | 17% | 2 Jul → | ||
| 13–7 | 0.07 | 19% | 25 Jun → | ||
| 13–11 | 0.01 | 27% | 19 Jun → | ||
| 9–13 | -0.03 | 13% | 17 Jun → | ||
| 14–16 | -0.01 | 22% | 17 Jun → | ||
| 6–13 | -0.03 | 3% | 16 Jun → | ||
| 13–5 | 0.15 | 17% | 16 Jun → | ||
| 7–13 | 0.00 | 14% | 12 Jun → | ||
| 16–12 | 0.12 | 18% | 12 Jun → | ||
| office | 12–12 | -0.02 | 21% | 11 Jun → | |
| office | 9–0 | 0.03 | 20% | 11 Jun → | |
| 13–5 | -0.00 | 14% | 6 Jun → | ||
| 6–13 | -0.06 | 6% | 6 Jun → | ||
| 13–6 | -0.01 | 21% | 6 Jun → | ||
| 1–7 | 0.09 | 40% | 2 Jun → | ||
| office | 5–13 | 0.10 | 38% | 2 Jun → | |
| office | 12–12 | 0.13 | 30% | 30 May → | |
| 8–13 | 0.05 | 5% | 29 May → | ||
| 12–12 | -0.03 | 29% | 29 May → | ||
| 9–13 | 0.01 | 15% | 29 May → | ||
| 13–11 | 0.14 | 9% | 29 May → | ||
| 11–13 | 0.00 | 15% | 22 May → | ||
| 12–12 | 0.06 | 22% | 20 May → | ||
| 1–8 | -0.09 | 5% | 20 May → | ||
| office | 7–13 | -0.04 | 33% | 20 May → | |
| 13–4 | 0.09 | 24% | 19 May → | ||
| 9–13 | -0.02 | 13% | 19 May → | ||
| 6–13 | -0.02 | 16% | 18 May → | ||
| office | 13–8 | 0.10 | 15% | 17 May → | |
| 14–16 | 0.01 | 17% | 16 May → | ||
| 10–13 | -0.00 | 14% | 16 May → | ||
| office | 13–11 | 0.02 | 17% | 14 May → | |
| 13–3 | 0.15 | 10% | 14 May → | ||
| 4–13 | -0.01 | 7% | 13 May → | ||
| 13–6 | 0.10 | 11% | 13 May → | ||
| 13–9 | 0.10 | 19% | 13 May → | ||
| 5–13 | -0.01 | 27% | 10 May → | ||
| office | 13–10 | 0.10 | 22% | 10 May → | |
| 5–13 | -0.04 | 8% | 7 May → | ||
| office | 6–13 | 0.02 | 14% | 7 May → | |
| 7–13 | -0.06 | 25% | 4 May → | ||
| 12–12 | 0.01 | 17% | 28 Apr → | ||
| 12–12 | 0.03 | 19% | 28 Apr → | ||
| 10–13 | -0.03 | 20% | 27 Apr → | ||
| 13–10 | -0.01 | 13% | 27 Apr → | ||
| 13–2 | 0.08 | 16% | 22 Apr → | ||
| 13–5 | 0.09 | 21% | 22 Apr → | ||
| 12–12 | -0.06 | 8% | 1 Apr → | ||
| 13–9 | 0.10 | 27% | 31 Mar → | ||
| 6–13 | -0.04 | 24% | 31 Mar → | ||
| 13–11 | -0.02 | 7% | 26 Mar → | ||
| 1–13 | -0.04 | 6% | 26 Mar → | ||
| 8–13 | 0.00 | 13% | 26 Mar → | ||
| 7–13 | -0.01 | 12% | 25 Mar → | ||
| 6–0 | 0.01 | 60% | 25 Mar → | ||
| alpine | 13–5 | 0.05 | 8% | 24 Mar → | |
| 7–13 | -0.00 | 29% | 24 Mar → | ||
| 13–5 | 0.04 | 20% | 19 Mar → | ||
| 6–13 | -0.05 | 21% | 16 Mar → | ||
| 13–2 | 0.07 | 26% | 12 Mar → | ||
| 13–11 | 0.01 | 14% | 10 Mar → | ||
| 5–13 | -0.02 | 11% | 10 Mar → | ||
| 2–13 | -0.09 | 0% | 9 Mar → | ||
| office | 6–13 | -0.06 | 14% | 3 Mar → | |
| 9–13 | -0.06 | 10% | 3 Mar → | ||
| 13–6 | 0.02 | 5% | 3 Mar → | ||
| 9–13 | -0.02 | 7% | 3 Mar → | ||
| 13–11 | 0.04 | 16% | 28 Feb → | ||
| 16–13 | 0.01 | 10% | 28 Feb → | ||
| 16–13 | -0.02 | 9% | 27 Feb → | ||
| 4–13 | -0.07 | 10% | 26 Feb → | ||
| 9–13 | -0.01 | 9% | 19 Feb → | ||
| office | 13–7 | -0.05 | 26% | 19 Feb → | |
| 12–12 | 0.07 | 20% | 2 Feb → | ||
| office | 13–11 | -0.07 | 28% | 2 Feb → | |
| office | 13–9 | -0.05 | 17% | 17 Jan → | |
| palacio | 13–5 | 0.01 | 6% | 17 Jan → | |
| 5–13 | 0.02 | 16% | 17 Jan → | ||
| 5–13 | -0.01 | 15% | 16 Jan → | ||
| 13–6 | 0.01 | 13% | 16 Jan → | ||
| 13–8 | -0.04 | 13% | 15 Jan → |
Match data via Leetify.