Elysium

Elysium — CS2 Stats

DK76561199874223882[U:1:1913958154]Steam profile ↗✓ No bans

1,163Tracked matches53%Win rate2025Tracked since
2,334Hours in CS172Hrs last 2 wks
CSDB Rating4.0 DevelopingSupport
Premier CS Rating4,754Grey band · top ~79.8% of ranked players (population est.)
FaceitLevel 3 · 520 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 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: 4,754 -1,703 24 Jun – 14 Oct · 20 days played
4,2897,721peak 7,72124 Jun14 Oct
8,299Peak Premier in tracked matches
520Highest Faceit ELO seen on CSDB
52Days played since 2026-06-20

Faceit ELO

  • At peak — 520
  • Next: Level 3 at 751 — 231 to go
  • Reached: Level 2

Premier CS Rating

  • 2,967 below peak (7,721)
  • -2,458 over 90 days
  • Next: Light Blue band at 5,000 — 246 to go
  • Reached: 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 Level 3 among CSDB-tracked players (n=10,259), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate37.8%41.8%42.7%4.9% short
Shot accuracy0.0%12.2%11.3%11.3% short
Kill/death ratio0.860.980.990.13 short
Match win rate44.0%43.3%43.9%meets

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGElysiumFACEITLevel 3 · 520 ELOSTANDINGTop 90.6% of rankedPREMIER4,754 · Grey bandPEAK ELO520csdb.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
Positioning49
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWWLLWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · +22ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 559ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 558ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim4.4
Utility6.3
Positioning4.9
Opening Duels1.3
Clutch3.6

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

ZywOo

Plays most like ZywOo 69% 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. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim4.4
Positioning4.9
Utility6.3
Mechanics2.5
Opening Duels2.4
Win Impact6.1

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time568ms−82ms
first ⅓ avg 650ms → last ⅓ avg 568ms
Headshot accuracy15.3%−0.2%
first ⅓ avg 15.5% → last ⅓ avg 15.3%

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

0.12Best match rating · 10–0 · nuke, 17 Sept →
39%Best headshot accuracy · 16–14 · dust2, 28 Jun →
391msFastest reaction time · 9–13 · cache, 29 Sept →
13–1Biggest win · nuke, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
9–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 67% over 12anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB2713–1448%-0.01
dust2B178–947%-0.00
mirageC146–843%-0.04
ancientC135–838%0.01
infernoS128–467%-0.02
cacheA95–456%0.00
anubisD61–517%-0.01
vertigo—21–150%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,097Lifetime kills
0.86K/D
1,418Matches
44.0%Match win rate · Top 50% of Level 3 players
37.8%Headshot %
0.0%Shot accuracy
2,349MVPs
590Hours (in match)
1,756Bombs planted
301Bombs defused

Most-used weapons

Lifetime map wins

3,714dust2
1,957nuke
1,711inferno
304train
268vertigo
60office
6ar_shoots

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

Faceit stats

Combat

755Matches
47%Win rate
0.94Avg K/D
67.7ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust215844%0.9313.5
Nuke14956%1.0513.7
Ancient13745%0.8612.6
Inferno12158%1.0214.0
Mirage8844%0.8812.2
Cache4127%0.8913.9
Anubis3727%0.9614.1
Overpass1644%0.8713.8

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.

15.4%Headshot accuracy
30.7%Accuracy (enemy spotted)
32.8%Spray accuracy
61.1%Counter-strafing
9.9°Preaim
565msReaction time
41.3%T opening success
38.3%CT opening success
0.56Enemies flashed / flash
6.1%Flash assists
9.38HE damage / grenade
11.25Flashes / 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 38.2559% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0123%16 Oct →
nuke16–13-0.0517%15 Oct →
ancient8–13-0.0317%15 Oct →
ancient11–130.0321%14 Oct →
cache13–80.027%8 Oct →
anubis11–13-0.0418%8 Oct →
mirage13–11-0.0814%8 Oct →
dust210–130.0112%8 Oct →
cache1–13-0.054%8 Oct →
mirage8–130.028%7 Oct →
ancient13–40.0731%7 Oct →
inferno3–13-0.090%4 Oct →
inferno19–170.0311%3 Oct →
nuke13–9-0.0110%3 Oct →
nuke13–20.089%1 Oct →
nuke13–1-0.0118%30 Sept →
mirage13–70.0424%30 Sept →
mirage6–13-0.0511%29 Sept →
cache9–13-0.0128%29 Sept →
ancient7–13-0.0217%28 Sept →
dust211–13-0.0128%28 Sept →
ancient19–16-0.0310%24 Sept →
vertigo10–13-0.0517%23 Sept →
ancient13–80.0810%21 Sept →
mirage13–60.0110%19 Sept →
inferno13–70.0213%17 Sept →
nuke10–00.1229%17 Sept →
nuke14–160.0212%16 Sept →
nuke13–9-0.0324%13 Sept →
mirage3–13-0.1113%9 Sept →
anubis11–130.0315%8 Sept →
nuke13–110.0212%6 Sept →
dust213–11-0.0414%4 Sept →
inferno13–11-0.0428%4 Sept →
inferno13–4-0.0216%4 Sept →
cache10–13-0.0417%4 Sept →
inferno13–6-0.086%2 Sept →
ancient13–9-0.0114%2 Sept →
nuke9–130.0514%2 Sept →
dust215–15-0.0618%1 Sept →
mirage5–13-0.0119%1 Sept →
nuke15–15-0.0523%30 Aug →
mirage10–13-0.0825%30 Aug →
nuke8–13-0.0316%28 Aug →
inferno13–50.0120%28 Aug →
dust213–30.0223%28 Aug →
cache13–40.018%26 Aug →
cache13–50.0510%26 Aug →
ancient14–160.0310%25 Aug →
inferno9–13-0.059%23 Aug →
anubis13–16-0.0116%23 Aug →
ancient11–130.0611%30 Jul →
nuke13–80.0611%30 Jul →
vertigo13–20.126%29 Jul →
dust213–60.057%25 Jul →
anubis7–130.0422%24 Jul →
dust26–13-0.037%24 Jul →
dust210–130.0217%20 Jul →
cache13–1-0.000%20 Jul →
dust213–40.1121%20 Jul →
mirage7–13-0.0814%20 Jul →
nuke11–13-0.0430%18 Jul →
ancient2–13-0.0714%18 Jul →
inferno6–130.0615%18 Jul →
nuke13–10.0211%18 Jul →
dust24–13-0.0531%18 Jul →
nuke8–13-0.0220%17 Jul →
ancient6–11-0.0312%17 Jul →
dust216–14-0.004%17 Jul →
ancient13–90.013%16 Jul →
mirage3–13-0.0820%16 Jul →
nuke11–130.0215%14 Jul →
inferno7–13-0.0416%13 Jul →
dust27–130.0019%13 Jul →
nuke4–13-0.0323%13 Jul →
nuke13–110.0118%12 Jul →
anubis4–13-0.0711%12 Jul →
dust213–6-0.0228%12 Jul →
dust29–13-0.019%11 Jul →
dust213–100.0316%9 Jul →
nuke13–90.0212%9 Jul →
mirage4–13-0.0925%9 Jul →
nuke6–13-0.0422%8 Jul →
mirage13–90.0223%6 Jul →
nuke13–80.0112%6 Jul →
nuke10–13-0.0713%6 Jul →
nuke5–13-0.0211%4 Jul →
anubis13–10-0.0118%2 Jul →
nuke13–7-0.044%2 Jul →
mirage13–10-0.0214%28 Jun →
dust216–140.0339%28 Jun →
nuke5–13-0.100%28 Jun →
inferno13–50.0110%25 Jun →
mirage13–3-0.0136%24 Jun →
dust29–13-0.0512%24 Jun →
nuke11–130.0419%24 Jun →
ancient11–130.0111%23 Jun →
nuke4–13-0.0811%23 Jun →
inferno13–4-0.029%21 Jun →
cache10–130.0520%20 Jun →

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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