EL Hasis

EL Hasis — CS2 Stats

76561198185660241[U:1:225394513]Steam profile ↗✓ No bans

1,242Tracked matches43%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
Premier CS Rating21,746Top 50% of 185,711 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#53989 of 232085 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 26 Jan 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,746 +5,213 2 Feb18 Sept · 25 days played
16,53322,443peak 22,4432 Feb18 Sept
22,443Peak Premier in tracked matches
1,494Highest Faceit ELO seen on CSDB
47Days played since 2026-01-26

Faceit ELO

  • At peak — 1,494
  • Next: Level 8 at 1,531 37 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 697 below peak (22,443)
  • +1,018 over 90 days
  • Next: Red band at 25,000 3,254 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGEL HasisPREMIER21,746 · Pink bandPEAK ELO1,494csdb.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

Aim46
Positioning42
Utility63

0–100 skill scores via Leetify.

Recent form

COLD53434Last 10053%Win rateWWLWLLLLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +1.7pp headshot accuracy · −58ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 656ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 653ms

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: SupportUtility contribution stands above the rest of this profile (+2.8 against its own average).

Aim4.6
Utility6.3
Positioning4.2
Opening Duels0.8
Clutch2.6

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

Twistzz

Plays most like Twistzz 70% 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. 645ms 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

Aim4.6
Positioning4.2
Utility6.3
Mechanics5.6
Opening Duels0.6
Win Impact2.6

Composite 4.4/10 (Developing), 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 rating-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time647ms+49ms
first ⅓ avg 598ms → last ⅓ avg 647ms
Headshot accuracy17.9%+1.7%
first ⅓ avg 16.1% → last ⅓ avg 17.9%

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

0.16Best match rating · 13–1 · inferno, 2 Feb
32%Best headshot accuracy · 13–3 · dust2, 13 May
453msFastest reaction time · 10–13 · ancient, 3 Jul
13–1Biggest win · inferno, 2 Feb

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
52In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 75% over 16dust2Weakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB22101245%0.01
ancientB1910953%0.01
dust2C1971237%0.01
nukeS1612475%0.02
infernoS1511473%0.03
overpassC52340%-0.01
cache41325%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

656Matches
52%Win rate
1.00Avg K/D
80.1ADR
34%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5661%1.0616.3
Ancient3751%1.0615.4
Nuke3376%1.1715.7
Inferno2763%1.0715.6
Dust22548%1.0515.4
Overpass1145%1.0614.0
Anubis540%1.1514.2
Train450%0.8815.3

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.

17.4%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.1%Spray accuracy
75.1%Counter-strafing
12.5°Preaim
645msReaction time
26.1%T opening success
35.0%CT opening success
0.63Enemies flashed / flash
7.7%Flash assists
11.41HE damage / grenade
12.59Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4754° — above the 12° mark we flag

    Aim Training
Spend your practice time on Dust 2

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0210%18 Sept
dust213–70.0711%18 Sept
mirage5–13-0.0912%18 Sept
ancient13–10-0.0116%20 Aug
mirage9–13-0.0421%20 Aug
dust27–13-0.0132%20 Aug
cache13–160.0323%10 Aug
ancient14–16-0.0810%8 Aug
cache10–13-0.0115%8 Aug
nuke7–13-0.0528%8 Aug
dust28–13-0.0532%8 Aug
cache10–13-0.0610%8 Aug
ancient5–13-0.084%8 Aug
mirage7–13-0.0115%8 Aug
nuke13–9-0.0316%8 Aug
inferno13–20.0223%8 Aug
cache13–7-0.078%8 Aug
dust27–13-0.0925%7 Aug
mirage13–8-0.0314%31 Jul
inferno13–11-0.0215%31 Jul
nuke13–6-0.0029%24 Jul
inferno16–120.1017%24 Jul
ancient13–2-0.0113%4 Jul
ancient10–130.0415%3 Jul
inferno15–150.0720%26 Jun
mirage10–130.0418%26 Jun
mirage9–130.0320%24 Jun
dust29–130.0312%24 Jun
mirage12–12-0.0120%12 Jun
mirage16–14-0.0120%5 Jun
dust24–13-0.0916%22 May
mirage5–13-0.0119%22 May
dust213–30.0732%13 May
nuke13–90.0318%3 May
dust212–120.0224%24 Apr
mirage2–130.0210%24 Apr
ancient3–13-0.014%22 Apr
inferno16–120.0016%10 Apr
mirage8–13-0.0511%10 Apr
ancient13–70.0717%5 Apr
mirage13–10-0.0216%2 Apr
ancient13–16-0.0214%27 Mar
ancient13–80.017%25 Mar
nuke13–30.097%22 Mar
ancient7–13-0.0313%19 Mar
mirage13–80.1024%18 Mar
nuke13–80.0316%18 Mar
inferno13–50.0315%18 Mar
ancient13–110.0517%13 Mar
inferno13–50.0821%13 Mar
mirage12–160.0713%13 Mar
dust211–13-0.0312%13 Mar
overpass13–10-0.015%13 Mar
nuke7–13-0.0015%12 Mar
inferno8–13-0.0519%11 Mar
dust213–30.0710%11 Mar
nuke13–80.094%23 Feb
inferno8–13-0.0215%23 Feb
nuke13–80.0012%22 Feb
mirage13–70.0429%19 Feb
ancient9–130.0311%18 Feb
dust27–130.0216%17 Feb
overpass15–150.0016%17 Feb
nuke9–130.0124%17 Feb
inferno13–80.0421%16 Feb
mirage13–11-0.0113%13 Feb
dust213–60.0118%12 Feb
inferno13–8-0.0215%12 Feb
inferno22–200.0125%10 Feb
nuke13–100.0416%10 Feb
dust213–60.0012%9 Feb
ancient13–60.0613%9 Feb
overpass13–40.0618%9 Feb
nuke13–6-0.0011%6 Feb
ancient6–13-0.0110%6 Feb
mirage3–13-0.0913%6 Feb
nuke13–100.0713%6 Feb
nuke9–13-0.013%4 Feb
overpass9–13-0.0615%4 Feb
ancient13–20.0420%4 Feb
mirage13–6-0.0011%4 Feb
mirage10–13-0.018%3 Feb
inferno13–100.0614%3 Feb
ancient2–130.0117%3 Feb
dust213–60.0513%2 Feb
inferno13–10.1619%2 Feb
nuke13–90.0024%2 Feb
dust213–100.0125%29 Jan
ancient13–50.0718%28 Jan
mirage13–70.1221%28 Jan
nuke13–70.0316%27 Jan
mirage13–90.0111%27 Jan
mirage13–70.1122%27 Jan
dust26–130.0122%27 Jan
dust28–130.0112%27 Jan
overpass9–13-0.0221%26 Jan
dust210–13-0.0418%26 Jan
ancient13–40.1016%26 Jan
inferno7–13-0.0418%26 Jan
dust210–130.1023%26 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →