Jeffrey Epstein Gaming

Jeffrey Epstein Gaming — CS2 Stats

IL76561198343239356[U:1:382973628]Steam profile ↗✓ No bans

1,645Tracked matches57%Win rate2021Tracked since
1,110Hours in CS
CSDB Rating5.3 DevelopingHybrid Rifler
CSDB Leaderboard#7730 of 7854 tracked
FaceitLevel 4 · 1,162 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

1,162Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

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.

Share this profile

CSDB.GGJeffrey Epstein GamingFACEITLevel 4 · 1,162 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,162csdb.gg/stats

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Performance scores

Aim62
Positioning59
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46459Last 10046%Win rateLWTLLWWWLW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.2
Aggression9.2
Utility4.9
Positioning5.9
Opening Duels4.4
Clutch5.6

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

ropz

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

Aim6.2
Positioning5.9
Utility4.9
Mechanics6.4
Opening Duels4.4
Win Impact7.4

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

Match rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time584ms−35ms
first ⅓ avg 619ms → last ⅓ avg 584ms
Headshot accuracy18.2%+2.4%
first ⅓ avg 15.8% → last ⅓ avg 18.2%

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

0.15Best rating — nuke 13–5
132Biggest win — vertigo
4Longest win streak
85In matches decided by ≤2 rounds
6Overtime games

Map breakdown

officeBest map · 60% over 20dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC25111444%0.01
officeA2012860%0.03
mirageC125742%-0.00
infernoC83538%-0.02
ancientC73443%0.02
vertigoD62433%-0.01
dust2D61517%-0.01
anubisA53260%0.01
cache41325%0.04
train330100%0.06
overpass2020%-0.01
alpine110100%0.05
palacio110100%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

54,123Lifetime kills
0.97K/D
2,910Matches
45.6%Match win rate
33.3%Headshot %
13.3%Shot accuracy · Top 50% of tracked players
7,769MVPs
1,110Hours (in match)
1,502Bombs planted
462Bombs defused

Most-used weapons

AK-4713,128
AWP6,505
SSG 082,126
MAC-101,985
P901,682
MP91,659

Lifetime map wins

6,974nuke
4,698inferno
2,400office
1,975dust2
1,485vertigo
660lake
626train
48italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

133Matches
50%Win rate
0.96Avg K/D
83.5ADR
31%Headshot %

Clutches & streaks

48%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2829%0.8614.4
Inferno2650%1.0616.3
Dust22045%0.9417.1
Nuke1968%1.1118.7
Ancient1540%0.9014.5
Anubis1258%0.9413.3
Train5100%0.9214.4
Overpass367%0.9412.7

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.

18.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
33.3%Spray accuracy
79.0%Counter-strafing
11.0°Preaim
577msReaction time
44.6%T opening success
50.9%CT opening success
0.52Enemies flashed / flash
21.1%Flash assists
7.26HE damage / grenade
3.70Flashes / match

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.

  1. Grenades & Utility

    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

    Grenade Lineups
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
office11–130.0921%13 Aug
office10–70.1227%1 Aug
office12–120.0115%29 Jul
mirage11–13-0.0519%24 Jul
cache10–13-0.0514%21 Jul
vertigo13–20.0323%18 Jul
office13–8-0.0014%18 Jul
office13–90.0324%18 Jul
nuke10–130.0010%16 Jul
office13–40.0750%15 Jul
office13–80.0623%10 Jul
nuke16–140.0312%9 Jul
mirage13–10-0.0338%9 Jul
inferno6–13-0.0213%9 Jul
ancient13–90.0216%9 Jul
nuke6–13-0.090%8 Jul
inferno13–6-0.0319%8 Jul
mirage13–90.0516%4 Jul
cache4–130.0413%2 Jul
mirage3–130.0217%2 Jul
nuke13–70.0719%25 Jun
anubis13–110.0127%19 Jun
ancient9–13-0.0313%17 Jun
mirage14–16-0.0122%17 Jun
anubis6–13-0.033%16 Jun
nuke13–50.1517%16 Jun
nuke7–130.0014%12 Jun
nuke16–120.1218%12 Jun
office12–12-0.0221%11 Jun
office9–00.0320%11 Jun
nuke13–5-0.0014%6 Jun
dust26–13-0.066%6 Jun
nuke13–6-0.0121%6 Jun
cache1–70.0940%2 Jun
office5–130.1038%2 Jun
office12–120.1330%30 May
inferno8–130.055%29 May
dust212–12-0.0329%29 May
ancient9–130.0115%29 May
anubis13–110.149%29 May
nuke11–130.0015%22 May
nuke12–120.0622%20 May
vertigo1–8-0.095%20 May
office7–13-0.0433%20 May
nuke13–40.0924%19 May
ancient9–13-0.0213%19 May
nuke6–13-0.0216%18 May
office13–80.1015%17 May
mirage14–160.0117%16 May
mirage10–13-0.0014%16 May
office13–110.0217%14 May
ancient13–30.1510%14 May
dust24–13-0.017%13 May
nuke13–60.1011%13 May
cache13–90.1019%13 May
mirage5–13-0.0127%10 May
office13–100.1022%10 May
anubis5–13-0.048%7 May
office6–130.0214%7 May
nuke7–13-0.0625%4 May
inferno12–120.0117%28 Apr
dust212–120.0319%28 Apr
nuke10–13-0.0320%27 Apr
inferno13–10-0.0113%27 Apr
train13–20.0816%22 Apr
train13–50.0921%22 Apr
dust212–12-0.068%1 Apr
dust213–90.1027%31 Mar
vertigo6–13-0.0424%31 Mar
mirage13–11-0.027%26 Mar
inferno1–13-0.046%26 Mar
nuke8–130.0013%26 Mar
nuke7–13-0.0112%25 Mar
train6–00.0160%25 Mar
alpine13–50.058%24 Mar
nuke7–13-0.0029%24 Mar
vertigo13–50.0420%19 Mar
vertigo6–13-0.0521%16 Mar
nuke13–20.0726%12 Mar
mirage13–110.0114%10 Mar
ancient5–13-0.0211%10 Mar
nuke2–13-0.090%9 Mar
office6–13-0.0614%3 Mar
inferno9–13-0.0610%3 Mar
ancient13–60.025%3 Mar
overpass9–13-0.027%3 Mar
nuke13–110.0416%28 Feb
nuke16–130.0110%28 Feb
anubis16–13-0.029%27 Feb
nuke4–13-0.0710%26 Feb
mirage9–13-0.019%19 Feb
office13–7-0.0526%19 Feb
vertigo12–120.0720%2 Feb
office13–11-0.0728%2 Feb
office13–9-0.0517%17 Jan
palacio13–50.016%17 Jan
nuke5–130.0216%17 Jan
overpass5–13-0.0115%16 Jan
mirage13–60.0113%16 Jan
inferno13–8-0.0413%15 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →