eDen_

eDen_ — CS2 Stats

RO76561198061364888[U:1:101099160]Steam profile ↗✓ No bans

444Tracked matches60%Win rate2020Tracked since
1,970Hours in CS24Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#10952 of 25875 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 rate39.7%44.1%47.2%7.5% short
Shot accuracy14.1%11.4%12.7%above
Kill/death ratio1.171.031.09above
Match win rate50.7%45.2%46.6%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.

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CSDB.GGeDen_PREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning46
Utility47

0–100 skill scores via Leetify.

Recent form

HOT52462Last 10052%Win rateWWWWWLWLWW

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

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

Aim7.2
Aggression5.4
Utility4.7
Positioning4.6
Opening Duels1.3

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 586ms 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

Aim7.2
Positioning4.6
Utility4.7
Mechanics6.5
Opening Duels1.3
Win Impact8.3

Composite 5.7/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time599ms−55ms
first ⅓ avg 654ms → last ⅓ avg 599ms
Headshot accuracy15.9%+0.4%
first ⅓ avg 15.5% → last ⅓ avg 15.9%

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

0.16Best rating — inferno 3–0
130Biggest win — dust2
8Longest win streak
W5Current streak
57In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 74% over 23ancientWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
dust2A25151060%0.01
infernoS2317674%0.01
ancientD2171433%-0.02
mirageB137654%0.01
cacheB84450%-0.01
anubis32167%0.00
overpass3030%-0.02
train3030%-0.02
nuke1010%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,801Lifetime kills
1.17K/D · Top 25% of Purple band
2,726Matches
50.7%Match win rate · Top 25% of Purple band
39.7%Headshot %
14.1%Shot accuracy · Top 50% of Purple band
6,439MVPs
1,153Hours (in match)
2,576Bombs planted
666Bombs defused

Most-used weapons

AK-4716,033
AWP6,161
MP91,651
FAMAS1,131
MAC-101,056

Lifetime map wins

12,124inferno
4,492dust2
1,199nuke
413train
324vertigo
100cbble
84lake
64italy

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.

16.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
39.9%Spray accuracy
79.1%Counter-strafing
8.7°Preaim
586msReaction time
32.5%T opening success
37.9%CT opening success
0.61Enemies flashed / flash
4.7%Flash assists
8.92HE damage / grenade
3.53Flashes / 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 3.5308 — below the 4 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 32.4595% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–130.0219%28 Aug
inferno13–8-0.0511%28 Aug
inferno13–60.0020%28 Aug
cache13–80.0617%28 Aug
ancient13–80.0617%28 Aug
dust26–13-0.070%28 Aug
anubis13–10.0723%28 Aug
ancient7–13-0.0712%27 Aug
inferno13–7-0.0318%27 Aug
inferno13–90.0018%26 Aug
mirage8–130.0223%26 Aug
dust210–13-0.0711%25 Aug
cache11–13-0.0026%25 Aug
mirage9–10.1319%25 Aug
ancient13–70.1218%25 Aug
ancient13–16-0.0319%19 Aug
cache13–4-0.0224%19 Aug
anubis5–13-0.087%19 Aug
mirage13–10.0118%19 Aug
inferno8–13-0.0111%19 Aug
nuke4–130.0014%18 Aug
ancient3–0-0.070%18 Aug
ancient11–13-0.0314%18 Aug
dust213–40.088%18 Aug
cache8–13-0.0419%18 Aug
inferno13–80.0318%18 Aug
cache8–13-0.049%18 Aug
dust213–11-0.0020%17 Aug
ancient13–7-0.0116%17 Aug
inferno16–14-0.0017%16 Aug
cache6–13-0.0612%16 Aug
ancient3–13-0.0331%16 Aug
ancient8–13-0.0116%16 Aug
mirage13–5-0.0218%13 Aug
dust24–13-0.057%13 Aug
cache13–40.0135%8 Jul
cache13–40.0528%8 Jul
mirage9–13-0.0215%22 Apr
inferno13–100.0115%22 Apr
dust213–10-0.0212%22 Apr
mirage13–11-0.0117%12 Mar
ancient12–16-0.0712%9 Mar
inferno9–13-0.037%9 Mar
mirage13–50.0216%9 Mar
dust213–5-0.0318%9 Mar
ancient10–13-0.0020%5 Mar
dust28–13-0.0430%11 Feb
dust29–13-0.0334%3 Feb
dust213–60.0020%25 Jan
anubis13–40.0214%23 Jan
mirage13–40.0313%23 Jan
inferno13–60.0512%22 Jan
dust213–90.0211%22 Jan
inferno3–00.1650%17 Jan
ancient13–90.0719%12 Jan
overpass1–4-0.0340%8 Jan
ancient10–13-0.039%8 Jan
dust213–00.0930%8 Jan
mirage9–130.0816%7 Jan
dust213–60.1119%5 Jan
mirage5–13-0.0114%5 Jan
inferno3–13-0.0731%4 Jan
dust25–13-0.0219%3 Jan
ancient13–100.0216%16 Dec
mirage11–13-0.0617%7 Dec
inferno13–70.0416%5 Dec
inferno13–4-0.0116%4 Dec
inferno13–4-0.0112%2 Dec
mirage13–7-0.0115%1 Dec
inferno13–100.0913%27 Nov
inferno13–50.0915%26 Nov
dust213–40.0620%26 Nov
dust213–10-0.0012%23 Nov
inferno11–130.0212%23 Nov
overpass8–13-0.0318%18 Nov
overpass8–130.0020%18 Nov
train9–13-0.0318%16 Nov
ancient11–13-0.0815%16 Nov
ancient6–13-0.0111%16 Nov
ancient13–16-0.0410%12 Nov
inferno13–9-0.0211%11 Nov
ancient10–13-0.0911%10 Nov
ancient6–130.0010%6 Nov
dust28–13-0.0217%6 Nov
ancient13–11-0.0214%28 Oct
inferno13–10.0333%27 Oct
dust211–13-0.0118%26 Oct
train8–13-0.0022%26 Oct
dust211–13-0.0115%25 Oct
ancient9–13-0.0815%25 Oct
inferno13–5-0.0514%24 Oct
dust215–150.0115%22 Oct
dust213–30.1118%21 Oct
dust213–10.068%21 Oct
dust213–8-0.0215%20 Oct
dust213–110.0217%14 Oct
inferno8–13-0.0111%14 Oct
inferno9–13-0.0419%7 Oct
train15–15-0.0223%6 Oct
mirage5–13-0.0816%6 Oct

Match data via Leetify.

Recent teammates

Milestones

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