Elkker

Elkker — CS2 Stats

SE76561198159320399[U:1:199054671]Steam profile ↗✓ No bans

317Tracked matches52%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
FaceitLevel 9 · 1,946 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,546 +545 11 Feb – 16 Jan · 14 days played
14,50616,546peak 16,54611 Feb16 Jan
16,546Peak Premier in tracked matches
1,946Highest Faceit ELO seen on CSDB
56Days played since 2025-02-11

Faceit ELO

  • At peak — 1,946
  • Next: Level 10 at 2,001 — 55 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGElkkerFACEITLevel 9 · 1,946 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,946csdb.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

Aim90
Positioning56
Utility53

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWLWWLWWWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · +2.3pp headshot accuracy · −139ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 26%
  • Avg reaction 493ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 28%
  • Avg reaction 529ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 599ms

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 (+2 against its own average).

Aim9.0
Utility5.3
Positioning5.6
Opening Duels3.4
Clutch0.0

Sharp aimerExcellent counter-strafingStrong CT-side opener

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: aim profile, utility contribution.

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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim9.0
Positioning5.6
Utility5.3
Mechanics8.7
Opening Duels3.1
Win Impact5.6

Composite 6.5/10 (Solid), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time593ms+14ms
first ⅓ avg 578ms → last ⅓ avg 593ms
Headshot accuracy26.9%+0.1%
first ⅓ avg 26.8% → last ⅓ avg 26.9%

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.

Personal bests

0.22Best match rating · 13–1 · mirage, 28 Sept →
50%Best headshot accuracy · 13–4 · mirage, 28 Dec →
406msFastest reaction time · 13–6 · inferno, 11 Sept →
13–1Biggest win · mirage, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 80% over 5ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3317–1652%0.04
infernoA1810–856%0.00
dust2A1610–663%0.00
overpassS54–180%0.05
vertigoS54–180%0.04
anubisD51–420%-0.01
trainC52–340%0.01
ancientD50–50%0.03
cache—31–233%0.01
nuke—21–150%0.03
office—22–0100%0.08
cache_b—10–10%-0.02

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.

Faceit stats

Combat

397Matches
55%Win rate
1.08Avg K/D
78.7ADR
48%Headshot %

Clutches & streaks

19%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage786%1.0414.3
Overpass667%0.9615.5
Train667%1.4817.8
Ancient650%0.8915.2
Inferno450%1.2217.5
Dust2333%0.8113.7
Nuke333%0.8014.0

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.

26.9%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.8%Spray accuracy
88.9%Counter-strafing
8.3°Preaim
588msReaction time
33.3%T opening success
51.3%CT opening success
0.56Enemies flashed / flash
5.7%Flash assists
10.47HE damage / grenade
6.34Flashes / 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

    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 33.328% — 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.

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
overpass13–40.0526%1 Oct →
vertigo13–100.1033%1 Oct →
cache2–9-0.0317%1 Oct →
dust213–90.0127%30 Sept →
mirage13–10.2230%28 Sept →
anubis2–130.0121%25 Sept →
dust213–60.0436%24 Sept →
inferno13–6-0.0135%11 Sept →
dust219–170.0229%11 Sept →
cache9–130.0531%8 Sept →
mirage12–16-0.0221%7 Sept →
dust25–130.0330%23 Jul →
mirage13–20.1328%19 Jul →
inferno7–13-0.0738%5 Jun →
train5–13-0.0422%5 Jun →
vertigo13–160.0220%11 May →
mirage13–9-0.0119%3 May →
cache13–70.0133%3 May →
inferno8–130.0424%14 Apr →
dust210–130.0825%9 Apr →
dust213–11-0.0225%9 Apr →
inferno1–13-0.0428%8 Apr →
mirage13–40.1220%8 Apr →
inferno13–90.0618%5 Apr →
ancient9–130.0116%5 Apr →
mirage11–130.0730%5 Apr →
inferno15–150.0235%30 Jan →
mirage13–60.0619%28 Jan →
mirage2–130.0336%26 Jan →
mirage13–20.0236%16 Jan →
train13–110.0545%16 Jan →
inferno13–80.0117%11 Jan →
mirage6–130.0617%11 Jan →
dust22–13-0.0637%9 Jan →
train15–15-0.0136%9 Jan →
mirage0–13-0.0335%9 Jan →
inferno13–8-0.0326%8 Jan →
mirage6–13-0.0115%7 Jan →
dust213–90.0116%7 Jan →
mirage13–80.0121%6 Jan →
mirage17–19-0.0321%5 Jan →
vertigo13–7-0.034%5 Jan →
inferno13–4-0.0023%5 Jan →
dust213–9-0.0129%5 Jan →
inferno14–16-0.0427%4 Jan →
nuke13–80.1120%3 Jan →
mirage13–10-0.0130%2 Jan →
dust28–13-0.0433%2 Jan →
dust213–80.0114%2 Jan →
inferno13–70.0415%2 Jan →
mirage13–110.0720%2 Jan →
nuke4–13-0.0419%2 Jan →
inferno13–70.0125%1 Jan →
dust26–13-0.0214%1 Jan →
inferno8–13-0.0316%1 Jan →
ancient6–100.1230%1 Jan →
mirage13–60.1030%30 Dec →
overpass13–30.1329%30 Dec →
inferno15–150.0525%30 Dec →
overpass13–70.0222%30 Dec →
mirage13–40.0850%28 Dec →
mirage12–16-0.0530%27 Dec →
inferno2–13-0.1142%27 Dec →
train13–90.0122%27 Dec →
train11–130.0317%27 Dec →
inferno13–30.0129%27 Dec →
dust213–100.0331%19 Dec →
vertigo13–10.0221%19 Dec →
office13–100.1250%26 Nov →
office13–60.0334%25 Nov →
dust213–110.0120%22 Nov →
mirage10–130.1022%16 Nov →
mirage13–60.1638%16 Nov →
mirage16–19-0.0311%13 Nov →
mirage10–13-0.0123%11 Nov →
anubis9–13-0.0319%11 Nov →
mirage13–11-0.0411%3 Nov →
ancient7–130.0533%30 Oct →
cache_b11–13-0.0227%28 Oct →
mirage9–13-0.0121%28 Oct →
vertigo13–30.0742%28 Oct →
dust28–13-0.0132%25 Oct →
overpass8–13-0.0224%24 Oct →
dust213–6-0.0537%21 Oct →
anubis7–130.0217%21 Oct →
overpass13–110.0545%26 Sept →
ancient9–13-0.0121%7 Sept →
mirage11–00.0923%7 Sept →
mirage9–13-0.0119%22 Aug →
ancient7–130.0023%15 Aug →
mirage4–13-0.0116%15 Aug →
mirage13–11-0.0126%6 Jul →
mirage13–40.0728%27 Jun →
inferno16–140.0746%27 Jun →
mirage13–110.0528%18 Apr →
anubis9–13-0.0621%23 Feb →
mirage11–13-0.0620%11 Feb →
inferno13–80.0440%11 Feb →
anubis13–40.0422%11 Feb →
mirage11–130.0426%11 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
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.