enceladus

enceladus — CS2 Stats

DK76561197990378920[U:1:30113192]Steam profile ↗✓ No bans

3,410Tracked matches59%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating20,690Top 50% of 211,308 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#73307 of 258304 tracked
FaceitLevel 9 · 1,936 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 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: 20,690 -3,276 14 Jun – 28 Oct · 23 days played
20,40623,966peak 23,96614 Jun28 Oct
Faceit ELO: 1,936 +0 29 Aug – 30 Aug · 2 observations
1,9361,936peak 1,93629 Aug30 Aug
24,304Peak Premier in tracked matches
1,936Highest Faceit ELO seen on CSDB
48Days played since 2026-06-14

Faceit ELO

  • At peak — 1,936
  • Next: Level 10 at 2,001 — 65 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

Premier CS Rating

  • 3,276 below peak (23,966)
  • -816 over 30 days · declining
  • -110 over 90 days
  • Next: Red band at 25,000 — 4,310 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGenceladusFACEITLevel 9 · 1,936 ELOSTANDINGTop 20.7% of rankedPREMIER20,690 · Pink bandPEAK ELO1,936csdb.gg/stats

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Performance scores

Aim64
Positioning57
Utility69

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateLWLLWLWLLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +1.2pp headshot accuracy · −4ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 530ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 543ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 545ms

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).

Aim6.4
Utility6.9
Positioning5.7
Opening Duels1.9
Clutch4.0

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

CT openings. Opening success drops from 54% on T to 37% on CT — first contacts on the defending side are being lost.

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

Aim6.4
Positioning5.7
Utility6.9
Mechanics5.1
Opening Duels3.8
Win Impact7.9

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time550ms−45ms
first ⅓ avg 595ms → last ⅓ avg 550ms
Headshot accuracy17.1%−6.9%
first ⅓ avg 24.0% → last ⅓ avg 17.1%

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

0.10Best match rating · 13–4 · nuke, 9 Oct →
47%Best headshot accuracy · 13–2 · inferno, 9 Aug →
398msFastest reaction time · 10–13 · ancient, 24 Jun →
13–1Biggest win · dust2, 9 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–12In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 61% over 23anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2615–1158%0.00
infernoC2310–1343%0.01
nukeA2314–961%0.01
ancientB105–550%0.01
cacheA74–357%0.01
anubisD50–50%-0.00
mirage—31–233%0.01
poseidon—20–20%-0.01
overpass—11–0100%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,756Matches
51%Win rate
1.04Avg K/D
74.6ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno20553%1.2015.3
Ancient16650%1.0215.3
Nuke15354%1.0414.3
Overpass7453%0.9914.4
Anubis6936%0.9513.8
Dust25850%1.0915.0
Mirage5648%0.8512.6
Vertigo3956%1.0815.4

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
34.7%Accuracy (enemy spotted)
38.6%Spray accuracy
73.0%Counter-strafing
11.2°Preaim
550msReaction time
53.9%T opening success
36.9%CT opening success
0.70Enemies flashed / flash
10.1%Flash assists
11.40HE damage / grenade
10.58Flashes / 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 36.8928% — 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.

0% 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
inferno9–130.0015%28 Oct →
mirage13–10-0.0215%28 Oct →
mirage8–130.0633%28 Oct →
nuke6–13-0.027%27 Oct →
nuke13–50.0024%27 Oct →
anubis11–13-0.0117%26 Oct →
dust213–80.0530%22 Oct →
nuke6–13-0.0614%21 Oct →
dust28–13-0.0513%19 Oct →
ancient3–13-0.0012%19 Oct →
nuke6–13-0.0120%19 Oct →
inferno13–110.0923%9 Oct →
cache13–80.0211%9 Oct →
dust26–13-0.078%9 Oct →
nuke13–40.1022%9 Oct →
cache19–160.0116%9 Oct →
nuke13–90.0616%8 Oct →
nuke13–80.0220%7 Oct →
inferno13–70.0115%7 Oct →
inferno13–110.0416%30 Sept →
anubis11–13-0.0014%30 Sept →
inferno15–15-0.0122%26 Sept →
nuke13–70.0117%26 Sept →
inferno13–60.0915%26 Sept →
dust27–130.0516%26 Sept →
ancient13–90.0523%25 Sept →
cache16–120.0414%25 Sept →
dust213–110.0215%25 Sept →
nuke19–17-0.0319%25 Sept →
nuke14–16-0.0316%23 Sept →
dust213–8-0.0121%23 Sept →
nuke13–30.0513%21 Sept →
inferno9–13-0.0012%21 Sept →
nuke11–130.0522%17 Sept →
dust28–130.0212%16 Sept →
nuke13–70.0215%16 Sept →
nuke13–50.0717%16 Sept →
dust28–13-0.0120%13 Sept →
inferno11–130.0816%13 Sept →
dust21–13-0.1327%8 Sept →
nuke5–13-0.0314%8 Sept →
inferno16–130.0216%7 Sept →
cache9–13-0.0426%6 Sept →
dust213–11-0.0320%6 Sept →
nuke13–7-0.040%6 Sept →
inferno7–130.0132%2 Sept →
dust213–5-0.0220%26 Aug →
dust213–11-0.0626%26 Aug →
nuke13–30.0819%26 Aug →
nuke13–16-0.0223%25 Aug →
cache13–10-0.0522%25 Aug →
dust211–130.0318%24 Aug →
dust211–130.0622%24 Aug →
inferno16–12-0.029%22 Aug →
poseidon8–8-0.0812%22 Aug →
poseidon8–80.059%22 Aug →
ancient13–100.0125%21 Aug →
dust213–80.0323%21 Aug →
dust213–10-0.0124%21 Aug →
ancient8–130.0316%21 Aug →
cache9–130.0329%19 Aug →
mirage9–13-0.0213%14 Aug →
cache15–150.0518%12 Aug →
inferno13–10-0.0118%12 Aug →
inferno8–130.0418%11 Aug →
dust213–50.0819%11 Aug →
dust213–10.1015%9 Aug →
nuke10–130.0623%9 Aug →
inferno13–20.0747%9 Aug →
ancient13–80.0725%8 Aug →
anubis2–13-0.0143%8 Aug →
dust211–13-0.0613%6 Aug →
inferno7–13-0.0415%6 Aug →
dust213–40.0727%3 Aug →
anubis11–130.0620%3 Aug →
inferno11–13-0.0528%1 Aug →
dust213–60.0124%1 Aug →
ancient13–110.0216%27 Jul →
inferno7–13-0.0318%26 Jul →
dust213–40.0111%26 Jul →
inferno13–8-0.0018%26 Jul →
nuke13–3-0.0017%26 Jul →
inferno14–16-0.0228%25 Jul →
inferno7–130.0026%24 Jul →
ancient6–13-0.0338%6 Jul →
dust26–13-0.0438%6 Jul →
nuke13–20.0436%3 Jul →
inferno15–150.0212%2 Jul →
anubis10–13-0.0418%30 Jun →
overpass13–10.0920%30 Jun →
nuke7–13-0.0023%29 Jun →
inferno13–9-0.0226%29 Jun →
dust216–130.0224%29 Jun →
ancient7–130.0013%28 Jun →
inferno7–130.0518%28 Jun →
ancient10–13-0.0616%24 Jun →
nuke13–90.0029%24 Jun →
dust213–80.0437%22 Jun →
dust211–130.0226%14 Jun →
ancient13–100.0019%14 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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