EpioneeV

EpioneeV — CS2 Stats

76561198256309793[U:1:296044065]Steam profile ↗✓ No bans

644Tracked matches52%Win rate2020Tracked since
2,874Hours in CS1Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating13,483Blue band · top ~36.4% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (14 days ago). 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: 13,483 +2,274 30 Mar – 18 Oct · 45 days played
11,09813,695peak 13,69530 Mar18 Oct
14,047Peak Premier in tracked matches
54Days played since 2026-03-30

Premier CS Rating

  • 212 below peak (13,695)
  • -163 over 30 days · steady
  • Next: Purple band at 15,000 — 1,517 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.2%42.0%44.4%2.2% short
Shot accuracy17.4%9.6%11.9%above
Kill/death ratio0.840.981.030.20 short
Match win rate41.9%43.8%45.2%3.3% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEpioneeVPREMIER13,483 · Blue bandcsdb.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

Aim44
Positioning54
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLTWWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −0.3pp headshot accuracy · +3ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 800ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 668ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 667ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim4.4
Utility4.5
Positioning5.4
Opening Duels0.9

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

iM

Plays most like iM 73% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 643ms 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

Aim4.4
Positioning5.4
Utility4.5
Mechanics5.3
Opening Duels3.3
Win Impact5.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time633ms−44ms
first ⅓ avg 677ms → last ⅓ avg 633ms
Headshot accuracy20.2%−3.8%
first ⅓ avg 24.0% → last ⅓ avg 20.2%

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.

Personal bests

0.12Best match rating · 13–3 · dust2, 5 Aug →
50%Best headshot accuracy · 2–0 · mirage, 5 Apr →
391msFastest reaction time · 7–13 · inferno, 6 Apr →
13–3Biggest win · mirage, 17 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA3821–1755%-0.02
dust2C208–1240%-0.02
infernoA1710–759%-0.04
ancientA95–456%-0.06
anubisD51–420%-0.07
overpassS54–180%0.01
nuke—41–325%-0.05
cache—20–20%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,333Lifetime kills
0.84K/D
3,380Matches
41.9%Match win rate
42.2%Headshot % · Top 50% of Blue band
17.4%Shot accuracy · Top 10% of Blue band
6,600MVPs
1,545Hours (in match)
6,385Bombs planted
801Bombs defused

Most-used weapons

AK-4711,628
AWP6,443
MP94,565
MAC-103,608
P903,195

Lifetime map wins

3,950inferno
1,719dust2
610nuke
467vertigo
429train
306cbble
85office
53lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy
27.8%Accuracy (enemy spotted)
27.1%Spray accuracy
73.6%Counter-strafing
9.8°Preaim
643msReaction time
49.0%T opening success
37.3%CT opening success
0.70Enemies flashed / flash
5.8%Flash assists
5.12HE damage / grenade
11.64Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.3477% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis3–13-0.108%18 Oct →
mirage15–150.0220%18 Oct →
dust213–60.0424%18 Oct →
mirage13–3-0.0027%17 Oct →
dust213–4-0.0422%17 Oct →
inferno8–13-0.0115%17 Oct →
inferno13–90.0020%11 Oct →
dust213–30.0532%11 Oct →
anubis5–13-0.103%10 Oct →
dust213–8-0.0438%10 Oct →
ancient2–13-0.0423%6 Oct →
dust213–70.0125%6 Oct →
ancient1–13-0.0721%29 Sept →
inferno8–13-0.0720%28 Sept →
mirage11–13-0.0318%26 Sept →
mirage7–13-0.0614%25 Sept →
ancient13–7-0.0321%25 Sept →
mirage5–13-0.0522%25 Sept →
mirage13–4-0.0419%25 Sept →
dust29–13-0.0127%25 Sept →
ancient3–3-0.1025%25 Sept →
inferno13–6-0.038%25 Sept →
mirage9–13-0.0328%22 Sept →
dust24–13-0.0518%21 Sept →
mirage13–10-0.0421%20 Sept →
dust213–80.0022%20 Sept →
mirage13–11-0.0222%20 Sept →
anubis13–10-0.0126%20 Sept →
mirage7–13-0.0911%6 Sept →
mirage11–13-0.0216%6 Sept →
nuke11–13-0.0414%3 Sept →
mirage7–130.0218%3 Sept →
mirage13–8-0.0320%2 Sept →
dust29–13-0.0115%25 Aug →
inferno13–6-0.0527%25 Aug →
mirage16–13-0.0424%24 Aug →
dust214–16-0.0624%22 Aug →
mirage13–8-0.0536%18 Aug →
dust213–30.1224%5 Aug →
mirage13–6-0.0219%31 Jul →
cache9–13-0.0338%25 Jul →
anubis2–13-0.0822%25 Jul →
cache1–8-0.090%25 Jul →
nuke13–8-0.0613%23 Jul →
ancient13–10-0.056%9 Jul →
mirage4–13-0.0435%9 Jul →
ancient4–13-0.0621%5 Jul →
dust215–15-0.0912%5 Jul →
inferno3–13-0.0421%5 Jul →
mirage13–110.0423%4 Jul →
inferno13–10-0.0220%4 Jul →
mirage13–7-0.0529%3 Jul →
dust211–13-0.0825%30 Jun →
mirage9–13-0.0833%30 Jun →
mirage4–13-0.0531%24 Jun →
inferno13–4-0.0546%17 Jun →
mirage13–50.0119%17 Jun →
dust27–130.0025%17 Jun →
dust21–13-0.0418%16 Jun →
dust213–90.0321%12 Jun →
inferno9–13-0.0713%12 Jun →
inferno15–15-0.0122%12 Jun →
anubis1–13-0.0325%11 Jun →
inferno13–10-0.0429%11 Jun →
mirage13–7-0.0233%10 Jun →
mirage13–90.0025%8 Jun →
dust211–13-0.0124%8 Jun →
dust213–16-0.0725%5 Jun →
mirage13–100.0216%1 Jun →
mirage7–13-0.0614%1 Jun →
mirage14–16-0.0618%24 May →
overpass5–10.0929%24 May →
mirage9–13-0.0614%14 May →
nuke6–13-0.1017%1 May →
inferno13–10-0.0816%28 Apr →
ancient13–11-0.0227%19 Apr →
overpass13–10-0.0318%16 Apr →
mirage13–9-0.0225%16 Apr →
mirage13–11-0.0126%15 Apr →
ancient9–13-0.094%13 Apr →
nuke11–13-0.0231%13 Apr →
inferno16–13-0.0626%12 Apr →
inferno13–90.0119%9 Apr →
mirage13–90.0333%7 Apr →
inferno7–13-0.0940%6 Apr →
mirage5–13-0.0424%6 Apr →
mirage7–130.0417%5 Apr →
dust27–13-0.1020%5 Apr →
mirage2–00.020%5 Apr →
mirage2–00.1150%5 Apr →
mirage13–6-0.0739%5 Apr →
overpass13–8-0.0117%5 Apr →
inferno3–13-0.0336%5 Apr →
mirage7–13-0.0222%5 Apr →
dust214–16-0.0530%4 Apr →
overpass8–13-0.0330%4 Apr →
overpass13–40.0541%4 Apr →
ancient13–7-0.0617%1 Apr →
inferno13–40.0333%31 Mar →
mirage13–100.0818%30 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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