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Epstein Files

Epstein Files — CS2 Stats

CZ76561199142954126[U:1:1182688398]Steam profile ↗✓ No bans

2,626Tracked matches57%Win rate2021Tracked since
3,981Hours in CS16Hrs last 2 wks
CSDB Rating6.2 SolidAggressive Rifler
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim79
Positioning56
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLWWLLLWWWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression7.5
Utility4.4
Positioning5.6
Opening Duels3.3
Clutch3.2

Strong CT-side openerLimited 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 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim7.9
Positioning5.6
Utility4.4
Mechanics6.7
Opening Duels3.3
Win Impact7.2

Composite 6.2/10 (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

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time573ms−7ms
first ⅓ avg 581ms → last ⅓ avg 573ms
Headshot accuracy21.7%+0.6%
first ⅓ avg 21.0% → last ⅓ avg 21.7%

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

0.37Best rating — vertigo 4–0
13–0Biggest win — dust2
5Longest win streak
11–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 67% over 9dust2Weakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
mirageA2414–1058%0.03
infernoC219–1243%0.02
dust2C198–1142%0.02
anubisA95–456%0.02
nukeS96–367%0.03
ancientA74–357%0.04
overpassC73–443%-0.03
cache—21–150%-0.00
vertigo—22–0100%0.19

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

136,895Lifetime kills
1.19K/D · Top 25% of tracked players
5,290Matches
51.7%Match win rate · Top 25% of tracked players
48.6%Headshot % · Top 50% of tracked players
13.2%Shot accuracy · Top 50% of tracked players
18,243MVPs
3,649Hours (in match)
6,483Bombs planted
3,247Bombs defused

Most-used weapons

AK-4757,360
M4A4 / M4A1-S21,307
AWP18,380
Desert Eagle10,086
P2000 / USP-S6,647
Glock-185,564
Galil AR3,262
Knife2,034
MP91,904
FAMAS1,589

Lifetime map wins

10,531inferno
4,788vertigo
4,470dust2
3,949nuke
488train
86cbble
45lake
8stmarc

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

Faceit stats

Combat

968Matches
51%Win rate
1.18Avg K/D
88.6ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage14153%1.3118.7
Inferno7851%1.1517.3
Ancient6453%1.3217.8
Dust24547%1.1417.3
Nuke4248%1.3319.1
Anubis4050%1.2518.8
Overpass3954%1.2818.5
Train850%1.0017.8

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.

20.2%Headshot accuracy
36.7%Accuracy (enemy spotted)
40.8%Spray accuracy
80.3%Counter-strafing
9.7°Preaim
565msReaction time
34.9%T opening success
51.4%CT opening success
0.48Enemies flashed / flash
4.8%Flash assists
9.21HE damage / grenade
4.60Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4822 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 34.8727% — below the 40% mark we flag

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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0917%28 Aug →
cache13–4-0.0015%28 Aug →
mirage13–70.0522%27 Aug →
mirage1–13-0.0212%24 Aug →
cache5–7-0.0121%17 Aug →
ancient5–13-0.0215%31 Jul →
mirage13–70.055%31 Jul →
mirage13–20.0517%19 Jul →
inferno13–90.0516%19 Jul →
mirage13–100.0923%18 Jul →
dust211–130.0311%18 Jul →
ancient13–110.0618%24 Jun →
dust211–130.0517%24 Jun →
dust210–13-0.0226%23 Jun →
dust27–110.0133%23 Jun →
anubis13–11-0.0114%22 Jun →
mirage8–13-0.0318%20 Jun →
dust213–20.1034%20 Jun →
inferno6–130.0632%20 Jun →
ancient13–90.0919%20 Jun →
mirage8–13-0.0213%2 May →
dust213–7-0.0217%1 May →
anubis13–40.1021%1 May →
dust29–130.0324%1 May →
nuke13–70.0837%1 May →
dust29–130.0436%1 May →
anubis13–40.0115%30 Apr →
nuke13–100.0716%26 Apr →
dust216–140.0022%26 Apr →
inferno13–11-0.0320%13 Apr →
dust213–00.0610%10 Apr →
dust29–130.0023%10 Apr →
inferno13–00.1375%10 Apr →
mirage10–130.0422%9 Mar →
dust211–130.0010%9 Mar →
inferno8–130.0523%9 Mar →
mirage13–110.0344%7 Mar →
mirage13–90.0225%7 Mar →
nuke13–100.0123%7 Mar →
dust29–13-0.0114%7 Mar →
mirage13–100.0424%7 Mar →
ancient9–130.0131%7 Mar →
overpass2–13-0.0233%6 Mar →
inferno13–7-0.0219%6 Mar →
mirage13–11-0.0038%5 Mar →
inferno13–160.0818%2 Mar →
mirage13–110.0624%2 Mar →
overpass0–9-0.1921%2 Mar →
anubis6–130.1725%1 Mar →
inferno7–130.0428%1 Mar →
inferno10–130.1223%25 Feb →
overpass13–70.0825%25 Feb →
inferno4–9-0.114%25 Feb →
anubis7–13-0.0322%23 Feb →
inferno16–140.1111%22 Feb →
anubis6–13-0.0021%22 Feb →
dust29–13-0.0214%22 Feb →
inferno3–13-0.100%20 Feb →
ancient13–100.0616%17 Feb →
dust213–30.0919%17 Feb →
mirage10–13-0.0111%16 Feb →
dust213–100.0120%16 Feb →
inferno13–10.0732%15 Feb →
inferno6–9-0.1321%15 Feb →
nuke15–15-0.0218%15 Feb →
inferno8–80.0814%30 Jan →
nuke13–80.1015%28 Jan →
overpass11–13-0.0514%25 Jan →
dust213–20.0316%25 Jan →
mirage10–130.0416%24 Jan →
anubis4–13-0.0225%24 Jan →
mirage7–130.1023%24 Jan →
dust23–13-0.0121%24 Jan →
mirage13–30.1019%23 Jan →
mirage13–20.1217%23 Jan →
inferno4–130.0224%23 Jan →
mirage13–160.0420%23 Jan →
inferno13–100.0725%23 Jan →
mirage13–80.0432%23 Jan →
mirage16–14-0.0224%16 Jan →
nuke16–130.0123%12 Jan →
mirage10–13-0.0219%12 Jan →
nuke13–11-0.0216%12 Jan →
inferno9–5-0.0211%6 Jan →
inferno10–13-0.0116%5 Jan →
mirage13–80.0015%5 Jan →
dust213–40.0640%5 Jan →
overpass10–13-0.0217%28 Oct →
inferno6–13-0.1017%28 Oct →
anubis13–50.0518%26 Oct →
vertigo4–00.3733%26 Oct →
nuke13–160.0122%20 Oct →
overpass16–14-0.0325%13 Oct →
nuke8–130.0622%12 Oct →
mirage2–13-0.0915%11 Oct →
ancient16–13-0.0121%6 Oct →
overpass13–40.0426%26 Sept →
inferno9–40.0821%25 Sept →
anubis13–3-0.0429%25 Sept →
vertigo12–80.0211%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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