ep1stle

ep1stle — CS2 Stats

76561197962502047[U:1:2236319]Steam profile ↗✓ No bans

934Tracked matches54%Win rate2021Tracked since
1,702Hours in CS7Hrs last 2 wks
CSDB Rating4.8 DevelopingClutch Specialist
Premier CS Rating15,425Purple band · top ~26.7% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,425 -2,378 23 Mar – 30 Sept · 27 days played
14,99217,803peak 17,80323 Mar30 Sept
17,803Peak Premier in tracked matches
989Highest Faceit ELO seen on CSDB
35Days played since 2026-03-23

Faceit ELO

  • At peak — 989
  • Next: Level 5 at 1,051 — 62 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,378 below peak (17,803)
  • -728 over 30 days · declining
  • -42 over 90 days
  • Next: Pink band at 20,000 — 4,575 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate40.3%44.3%46.9%6.6% short
Shot accuracy17.0%11.9%13.0%above
Kill/death ratio1.311.031.08above
Match win rate79.4%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGep1stlePREMIER15,425 · Purple bandPEAK ELO989csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning59
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWLLWLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +1.3pp headshot accuracy · +22ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 511ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 522ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 511ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.8 against its own average).

Aim5.6
Utility3.7
Positioning5.9
Opening Duels3.4
Clutch9.4

Strong CT-side openerLimited utility dependenceReliable 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning5.9
Utility3.7
Mechanics3.4
Opening Duels2.8
Win Impact6.2

Composite 4.8/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time523ms−52ms
first ⅓ avg 575ms → last ⅓ avg 523ms
Headshot accuracy11.3%−2.7%
first ⅓ avg 14.0% → last ⅓ avg 11.3%

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.

Personal bests

0.15Best match rating · 13–1 · nuke, 3 Sept →
40%Best headshot accuracy · 3–4 · cache, 29 Apr →
352msFastest reaction time · 13–7 · ancient, 3 Sept →
13–1Biggest win · nuke, 3 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 65% over 17dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%-0.00
nukeD226–1627%-0.02
ancientS1711–665%0.01
cacheD134–931%0.01
dust2D92–722%0.01
overpassA74–357%-0.01
mirage—40–40%-0.01
anubis—33–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,313Lifetime kills
1.31K/D · Top 10% of Purple band
7,750Matches
79.4%Match win rate · Top 1% of Purple band
40.3%Headshot %
17.0%Shot accuracy · Top 25% of Purple band
5,124MVPs
1,019Hours (in match)
3,067Bombs planted
742Bombs defused

Most-used weapons

AK-4713,300
AWP4,068
FAMAS1,854
P901,295
MP91,019

Lifetime map wins

7,876dust2
4,775inferno
1,282nuke
340bank
338safehouse
248lake
170train
147sugarcane

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

Faceit stats

Combat

16Matches
44%Win rate
0.96Avg K/D
74.1ADR
44%Headshot %

Clutches & streaks

67%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%1.4017.5
Overpass20%0.7616.5
Dust21100%0.9018.0
Ancient10%1.1820.0

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.

11.3%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.8%Spray accuracy
65.5%Counter-strafing
10.1°Preaim
520msReaction time
29.7%T opening success
52.7%CT opening success
0.34Enemies flashed / flash
4.3%Flash assists
8.94HE damage / grenade
4.99Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.3374% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3419 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.6585% — 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.

22% win rate across 9 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
anubis13–50.037%30 Sept →
dust26–13-0.069%30 Sept →
mirage4–13-0.0112%29 Sept →
cache13–40.0714%29 Sept →
nuke3–13-0.066%29 Sept →
nuke13–20.0115%29 Sept →
inferno13–5-0.0211%23 Sept →
mirage7–13-0.028%23 Sept →
nuke8–13-0.0412%23 Sept →
dust211–130.0122%23 Sept →
inferno11–13-0.028%3 Sept →
nuke13–10.159%3 Sept →
ancient13–70.0310%3 Sept →
mirage10–13-0.028%20 Aug →
nuke7–13-0.042%11 Aug →
cache14–16-0.0020%5 Aug →
ancient13–70.0410%5 Aug →
ancient5–130.0515%5 Aug →
nuke16–14-0.0117%2 Aug →
cache6–130.004%2 Aug →
nuke15–150.0211%2 Aug →
ancient13–110.0016%1 Aug →
nuke16–12-0.0112%31 Jul →
ancient13–11-0.0114%31 Jul →
dust213–9-0.0113%31 Jul →
nuke15–15-0.037%31 Jul →
cache10–13-0.048%28 Jul →
inferno13–4-0.0312%28 Jul →
inferno13–110.1011%28 Jul →
ancient13–60.018%28 Jul →
inferno13–90.0211%14 Jul →
inferno9–13-0.0213%14 Jul →
dust23–13-0.0617%14 Jul →
inferno13–100.0317%11 Jul →
nuke11–130.0620%10 Jul →
cache5–13-0.075%10 Jul →
cache7–130.0415%10 Jul →
anubis13–80.0122%6 Jul →
overpass13–70.0114%6 Jul →
ancient11–13-0.074%30 Jun →
nuke13–20.078%30 Jun →
overpass4–13-0.0616%30 Jun →
ancient13–5-0.038%30 Jun →
inferno3–13-0.0820%22 Jun →
mirage9–13-0.0017%19 Jun →
overpass7–13-0.0210%10 Jun →
inferno16–140.067%5 Jun →
inferno13–11-0.0415%5 Jun →
inferno13–70.0418%4 Jun →
overpass7–13-0.0212%4 Jun →
ancient13–10-0.0014%4 Jun →
inferno8–13-0.047%4 Jun →
ancient13–80.0113%4 Jun →
cache13–50.0110%4 Jun →
inferno13–6-0.0011%18 May →
inferno11–130.0011%18 May →
inferno10–13-0.0115%18 May →
ancient7–13-0.0410%13 May →
inferno13–5-0.0319%13 May →
dust213–60.0414%13 May →
nuke5–13-0.0821%13 May →
nuke10–13-0.0118%13 May →
cache5–130.027%13 May →
dust215–150.0415%9 May →
ancient12–10.023%9 May →
dust29–130.0214%9 May →
nuke16–13-0.0314%9 May →
inferno7–130.0123%9 May →
cache13–20.0716%7 May →
cache5–13-0.0317%7 May →
ancient10–130.0320%7 May →
anubis13–90.0519%7 May →
dust28–130.0515%5 May →
inferno13–100.0513%5 May →
nuke1–13-0.0718%5 May →
cache10–13-0.0013%5 May →
cache5–130.0214%29 Apr →
cache3–4-0.0240%29 Apr →
inferno9–13-0.0510%28 Apr →
inferno10–13-0.0318%28 Apr →
inferno13–11-0.0010%28 Apr →
nuke4–13-0.1012%28 Apr →
nuke10–13-0.0015%24 Apr →
inferno12–10.0611%24 Apr →
ancient13–60.1113%24 Apr →
inferno8–13-0.0213%21 Apr →
ancient9–13-0.0613%21 Apr →
nuke9–13-0.036%21 Apr →
overpass13–70.059%9 Apr →
nuke11–13-0.0117%9 Apr →
overpass13–10.016%9 Apr →
ancient11–13-0.0416%7 Apr →
nuke7–13-0.0310%7 Apr →
inferno1–13-0.008%7 Apr →
overpass13–9-0.0417%31 Mar →
dust211–130.0317%31 Mar →
ancient13–10.134%27 Mar →
inferno8–130.0011%27 Mar →
nuke9–13-0.0611%27 Mar →
nuke1–13-0.069%23 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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