elkku

elkku — CS2 Stats

FI76561199879010540[U:1:1918744812]Steam profile ↗✓ No bans

774Tracked matches31%Win rate2025Tracked since
921Hours in CS34Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating27,650Top 5% of 206,528 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#3419 of 254771 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−458Premier CS Rating · 28,108 → 27,650

Rating over time

Premier CS Rating: 27,650 +993 2 Aug – 19 Oct · 19 days played
25,89828,108peak 28,1082 Aug19 Oct
28,108Peak Premier in tracked matches
1,000Highest Faceit ELO seen on CSDB
36Days played since 2026-08-02

Faceit ELO

  • At peak — 1,000
  • Next: Level 5 at 1,051 — 51 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-04
  • Level 3 first seen 2026-09-04

Premier CS Rating

  • 458 below peak (28,108)
  • +1,448 over 30 days · improving
  • +993 over 90 days
  • Next: Gold band at 30,000 — 2,350 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-04
  • Pink band first seen 2026-09-04

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.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate55.5%49.3%50.8%above
Shot accuracy0.0%13.4%11.8%11.8% short
Kill/death ratio1.801.121.18above
Match win rate60.2%48.5%51.9%above

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

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

Share this profile

CSDB.GGelkkuPREMIER27,650 · Red bandPEAK ELO1,000csdb.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

Aim86
Positioning76
Utility52

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateWLLLLLWWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.4pp headshot accuracy · −2ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 497ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 513ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 514ms

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 (+1.9 against its own average).

Aim8.6
Utility5.2
Positioning7.6
Opening Duels7.0
Clutch3.0

Sharp aimer

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

s1mple

Plays most like s1mple 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.6
Positioning7.6
Utility5.2
Mechanics8.3
Opening Duels7.8
Win Impact0.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.06
first ⅓ avg 0.10 → last ⅓ avg 0.04
Reaction time531ms−84ms
first ⅓ avg 615ms → last ⅓ avg 531ms
Headshot accuracy19.3%−1.8%
first ⅓ avg 21.1% → last ⅓ avg 19.3%

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

0.33Best match rating · 9–3 · inferno, 17 Aug →
41%Best headshot accuracy · 3–13 · mirage, 24 Aug →
391msFastest reaction time · 8–2 · mirage, 17 Oct →
13–0Biggest win · mirage, 1 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 65% over 20ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3718–1949%0.05
infernoS2013–765%0.12
nukeA2012–860%0.09
dust2D113–827%0.03
ancientD50–50%0.04
anubis—20–20%-0.00
vertigo—21–150%-0.00
cache—21–150%0.03
train—10–10%0.27

Across the last 100 tracked matches.

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

Lifetime stats

45,974Lifetime kills
1.80K/D · Top 5% of Red band
1,087Matches
60.2%Match win rate · Top 10% of Red band
55.5%Headshot % · Top 25% of Red band
0.0%Shot accuracy
6,388MVPs
2,210Hours (in match)
784Bombs planted
1,569Bombs defused

Most-used weapons

Lifetime map wins

1,625inferno
1,470dust2
859nuke
508vertigo
105train
2italy
2ar_shoots

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

Faceit stats

Combat

97Matches
59%Win rate
1.52Avg K/D
90.1ADR
51%Headshot %

Clutches & streaks

35%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2955%1.4918.9
Dust22658%1.5017.6
Inferno1573%1.4319.0
Ancient1164%1.6618.6
Anubis757%1.6520.3
Nuke650%1.6020.0
Overpass250%1.4219.5
Cache10%1.1925.0

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.

19.5%Headshot accuracy
38.8%Accuracy (enemy spotted)
38.5%Spray accuracy
87.1%Counter-strafing
9.3°Preaim
532msReaction time
63.3%T opening success
59.0%CT opening success
0.61Enemies flashed / flash
6.1%Flash assists
8.35HE damage / grenade
7.46Flashes / match

Recommended for you

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–30.1419%19 Oct →
nuke11–130.0922%19 Oct →
dust210–130.0917%19 Oct →
mirage5–130.0123%19 Oct →
ancient1–13-0.047%19 Oct →
mirage6–13-0.0014%18 Oct →
dust216–130.0216%18 Oct →
mirage13–70.1024%18 Oct →
mirage2–130.0524%18 Oct →
dust26–130.0616%18 Oct →
mirage7–13-0.0815%18 Oct →
nuke4–90.0719%18 Oct →
mirage10–130.009%17 Oct →
mirage8–20.0312%17 Oct →
nuke10–130.0414%17 Oct →
nuke13–90.1034%17 Oct →
anubis4–130.0123%17 Oct →
dust22–130.0915%17 Oct →
nuke5–130.0319%16 Oct →
nuke13–50.0319%16 Oct →
ancient15–150.0631%16 Oct →
mirage8–130.0617%16 Oct →
anubis4–13-0.0213%15 Oct →
nuke5–13-0.0110%15 Oct →
nuke8–130.0827%15 Oct →
inferno2–13-0.0720%14 Oct →
ancient2–13-0.0212%14 Oct →
nuke7–20.0430%14 Oct →
nuke13–10.1618%14 Oct →
mirage13–70.0622%14 Oct →
dust211–130.0124%14 Oct →
mirage13–30.0631%12 Oct →
mirage13–20.2222%11 Oct →
vertigo13–40.007%11 Oct →
nuke13–30.1014%11 Oct →
nuke13–40.0524%4 Oct →
inferno8–80.1021%29 Sept →
dust213–8-0.0416%28 Sept →
mirage13–70.0812%27 Sept →
mirage4–130.0522%27 Sept →
mirage13–20.1022%26 Sept →
mirage13–110.106%24 Sept →
mirage13–70.0612%20 Sept →
mirage8–130.0528%20 Sept →
mirage13–2-0.044%16 Sept →
mirage13–1-0.040%14 Sept →
mirage9–130.1516%13 Sept →
ancient15–150.0920%10 Sept →
nuke9–70.2118%10 Sept →
nuke0–13-0.0514%10 Sept →
dust20–13-0.0223%9 Sept →
dust28–13-0.0819%8 Sept →
mirage9–130.037%8 Sept →
mirage13–30.1012%6 Sept →
mirage13–40.2119%6 Sept →
mirage13–70.1031%5 Sept →
mirage2–130.1322%1 Sept →
mirage13–00.0232%1 Sept →
mirage10–130.0321%24 Aug →
mirage0–4-0.0220%24 Aug →
mirage13–60.0416%24 Aug →
mirage3–130.0441%24 Aug →
dust25–13-0.0617%19 Aug →
mirage13–90.0513%18 Aug →
inferno2–13-0.0320%18 Aug →
inferno9–30.3330%17 Aug →
inferno9–30.098%16 Aug →
nuke9–5-0.0722%16 Aug →
nuke2–7-0.0033%11 Aug →
mirage4–13-0.0414%11 Aug →
inferno9–10.2211%11 Aug →
inferno9–40.1913%11 Aug →
inferno8–80.1315%10 Aug →
cache0–13-0.0515%9 Aug →
mirage13–7-0.0121%9 Aug →
inferno9–60.0425%9 Aug →
nuke9–30.1628%9 Aug →
inferno7–9-0.0120%9 Aug →
nuke7–00.2014%9 Aug →
inferno8–80.1224%9 Aug →
inferno9–4-0.0026%9 Aug →
nuke8–00.1726%9 Aug →
inferno9–60.1013%9 Aug →
inferno9–20.2826%9 Aug →
nuke9–00.308%9 Aug →
vertigo11–13-0.0121%8 Aug →
mirage3–100.0224%8 Aug →
cache13–20.1233%8 Aug →
mirage4–13-0.0114%8 Aug →
inferno9–50.2420%8 Aug →
inferno9–20.2541%8 Aug →
dust213–40.1217%8 Aug →
inferno13–30.0819%8 Aug →
inferno9–50.1315%6 Aug →
dust211–130.1232%4 Aug →
inferno11–130.1123%4 Aug →
mirage9–130.1430%2 Aug →
train4–130.2722%2 Aug →
ancient12–120.086%2 Aug →
mirage5–130.0226%2 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.