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epockzer

epockzer — CS2 Stats

FR76561198828165497[U:1:867899769]Steam profile ↗

1,570Tracked matches80%Win rate2023Tracked since
1,165Hours in CS
CSDB Rating6.5 SolidHybrid Rifler
Premier CS Rating15,582Purple band · top ~26.1% of ranked players (population est.)
CSDB Leaderboard#3447 of 5421 tracked
FaceitLevel 7 · 1,337 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

15,582Peak Premier on CSDB
1,337Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 1,337
  • Next: Level 7 at 1,351 — 14 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-28
  • Level 5 first seen 2026-08-28

Premier CS Rating

  • At peak — 15,582
  • Next: Pink band at 20,000 — 4,418 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band 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.GGepockzerFACEITLevel 7 · 1,337 ELOSTANDINGTop 42.3% of rankedPREMIER15,582 · Purple bandPEAK ELO1,337csdb.gg/stats

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Performance scores

Aim69
Positioning61
Utility73

0–100 skill scores via Leetify.

Recent form

HOT56–41–3Last 10056%Win rateWWWWWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9
Aggression8.3
Utility7.3
Positioning6.1
Opening Duels2.9
Clutch4.2

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 607ms 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

Aim6.9
Positioning6.1
Utility7.3
Mechanics5.7
Opening Duels2.9
Win Impact10.0

Composite 6.5/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time624ms−60ms
first ⅓ avg 684ms → last ⅓ avg 624ms
Headshot accuracy18.6%−0.0%
first ⅓ avg 18.6% → last ⅓ avg 18.6%

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 13–0
13–0Biggest win — nuke
8Longest win streak
W8Current streak
13–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 77% over 13infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B4120–2149%-0.00
nukeS2116–576%0.01
cacheS1310–377%0.01
infernoD103–730%-0.02
ancientD62–433%-0.01
anubisC52–340%0.00
mirage—22–0100%0.03
train—10–10%0.01
vertigo—11–0100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,158Lifetime kills
0.85K/D
2,571Matches
46.3%Match win rate
39.5%Headshot %
0.3%Shot accuracy
5,017MVPs
1,165Hours (in match)
2,754Bombs planted
758Bombs defused

Most-used weapons

AK-4714,568
AWP7,673
M4A4 / M4A1-S7,403
P2000 / USP-S2,491
MAC-101,798
Glock-181,766
MP91,364
Desert Eagle1,355
Five-SeveN756
Galil AR587

Lifetime map wins

8,732dust2
4,528nuke
4,030inferno
552train
181vertigo
13office
4ar_shoots
3lake

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

Faceit stats

Combat

325Matches
54%Win rate
1.05Avg K/D
76.8ADR
35%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust211258%1.1715.7
Mirage5944%0.8814.0
Nuke4965%1.2016.6
Inferno4353%0.9814.9
Ancient2138%0.8212.8
Anubis2040%0.9716.6
Cache1267%1.1315.8
Train560%0.8814.0

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.

17.3%Headshot accuracy
37.7%Accuracy (enemy spotted)
40.8%Spray accuracy
75.7%Counter-strafing
10.7°Preaim
607msReaction time
36.1%T opening success
47.2%CT opening success
0.68Enemies flashed / flash
8.3%Flash assists
10.02HE damage / grenade
13.70Flashes / 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. 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 36.066% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0824%27 Aug →
nuke13–00.1550%27 Aug →
dust213–80.0322%26 Aug →
cache13–100.0529%26 Aug →
nuke13–6-0.0741%26 Aug →
nuke13–90.0722%25 Aug →
dust213–40.1224%25 Aug →
anubis13–100.0616%21 Aug →
train4–130.0140%18 Aug →
nuke13–7-0.0210%18 Aug →
dust213–80.0118%18 Aug →
cache9–130.0212%17 Aug →
cache13–7-0.0731%17 Aug →
cache13–60.0612%15 Aug →
dust211–13-0.0011%14 Aug →
ancient13–7-0.058%13 Aug →
nuke13–110.006%13 Aug →
nuke13–80.0120%13 Aug →
dust213–110.0513%13 Aug →
dust213–11-0.0115%13 Aug →
anubis7–13-0.048%12 Aug →
cache13–100.0312%12 Aug →
nuke13–10-0.0110%12 Aug →
cache13–60.056%12 Aug →
dust212–16-0.0613%11 Aug →
cache13–7-0.0016%11 Aug →
dust213–60.019%11 Aug →
nuke13–4-0.0033%11 Aug →
inferno4–130.0115%11 Aug →
cache13–80.0612%11 Aug →
dust29–130.0526%11 Aug →
cache13–60.0810%11 Aug →
dust29–130.0118%8 Aug →
nuke13–2-0.0113%8 Aug →
dust25–13-0.0319%7 Aug →
anubis10–13-0.0116%6 Aug →
dust29–13-0.0020%6 Aug →
dust213–11-0.0122%6 Aug →
mirage16–14-0.0119%6 Aug →
dust212–160.0023%6 Aug →
dust213–100.027%6 Aug →
dust29–130.0626%5 Aug →
dust22–13-0.0722%5 Aug →
dust213–90.0011%5 Aug →
nuke13–20.1112%5 Aug →
dust213–10-0.0018%5 Aug →
dust29–13-0.0810%5 Aug →
nuke11–13-0.0717%4 Aug →
dust216–140.0022%4 Aug →
inferno13–60.0424%4 Aug →
nuke13–110.0410%3 Aug →
nuke10–13-0.0417%30 Jul →
mirage16–130.0610%30 Jul →
dust27–13-0.0516%30 Jul →
inferno7–13-0.0212%28 Jul →
dust25–13-0.0337%28 Jul →
dust210–13-0.0934%28 Jul →
anubis14–160.0111%28 Jul →
dust26–130.0129%28 Jul →
dust29–13-0.0014%27 Jul →
nuke13–6-0.0422%27 Jul →
ancient7–13-0.0213%27 Jul →
inferno11–13-0.028%27 Jul →
dust23–13-0.0910%27 Jul →
inferno15–150.0112%26 Jul →
dust28–13-0.0114%26 Jul →
cache16–14-0.0411%26 Jul →
inferno13–80.0012%26 Jul →
dust213–8-0.0517%26 Jul →
nuke6–13-0.0618%25 Jul →
ancient13–60.1012%25 Jul →
inferno3–130.0016%25 Jul →
nuke13–110.0319%25 Jul →
dust213–70.0614%24 Jul →
dust215–150.0514%24 Jul →
dust216–12-0.0513%24 Jul →
inferno3–13-0.1120%24 Jul →
nuke13–30.1114%24 Jul →
ancient2–13-0.078%24 Jul →
inferno13–9-0.0417%24 Jul →
ancient7–13-0.0120%24 Jul →
dust213–50.0316%24 Jul →
anubis13–11-0.0218%24 Jul →
nuke5–13-0.0617%23 Jul →
dust213–60.0318%22 Jul →
nuke13–110.0236%22 Jul →
dust213–30.0212%22 Jul →
nuke10–13-0.0731%22 Jul →
dust28–130.0620%22 Jul →
vertigo9–30.1127%22 Jul →
ancient4–13-0.0117%21 Jul →
cache10–13-0.0710%20 Jul →
dust213–100.0118%20 Jul →
cache15–150.017%20 Jul →
dust213–60.0340%20 Jul →
inferno3–13-0.0540%20 Jul →
dust23–13-0.080%20 Jul →
dust213–11-0.0319%18 Jul →
cache13–2-0.0130%18 Jul →
dust26–130.0024%13 Jul →

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 →

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