ELOHELL

ELOHELL — CS2 Stats

LT76561198219195532[U:1:258929804]Steam profile ↗✓ No bans

3,424Tracked matches33%Win rate2020Tracked since
9,809Hours in CS96Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating25,000Top 25% of 203,724 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#20375 of 251096 tracked
FaceitLevel 10 · 2,719 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2025 (340 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

25,619Peak Premier in tracked matches
2,719Highest Faceit ELO seen on CSDB
64Days played since 2025-02-05

Faceit ELO

  • At peak — 2,719
  • Next: 3,000 ELO at 3,000 — 281 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8

Premier CS Rating

  • At peak — 25,000
  • Next: Gold band at 30,000 — 5,000 to go
  • Reached: Red band · Pink band · Purple band · 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 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate49.0%50.9%
Shot accuracy13.8%13.7%
Kill/death ratio1.071.09
Match win rate49.6%48.4%

Share this profile

CSDB.GGELOHELLFACEITLevel 10 · 2,719 ELOSTANDINGTop 12.4% of rankedPREMIER25,000 · Red bandPEAK ELO2,719csdb.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

Aim76
Positioning44
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLLWWLWWLLW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −3.0pp headshot accuracy · +73ms reaction

Win rate up 40pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 495ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 546ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 510ms

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 (+2.5 against its own average).

Aim7.6
Utility6.0
Positioning4.4
Opening Duels0.0
Clutch3.8

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 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower 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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim7.6
Positioning4.4
Utility6.0
Mechanics5.9
Opening Duels0.7
Win Impact0.0

Composite 5.3/10 (Developing), 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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time522ms−42ms
first ⅓ avg 563ms → last ⅓ avg 522ms
Headshot accuracy21.1%+0.1%
first ⅓ avg 21.0% → last ⅓ avg 21.1%

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

0.32Best match rating · 9–4 · inferno, 3 Aug →
45%Best headshot accuracy · 9–3 · inferno, 23 Oct →
367msFastest reaction time · 4–0 · inferno, 5 May →
13–1Biggest win · anubis, 27 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
11–5In matches decided by ≤2 rounds
18Overtime games

Map breakdown

infernoBest map · 67% over 15trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%0.03
dust2A1810–856%-0.00
ancientC167–944%0.01
infernoS1510–567%0.03
anubisD134–931%-0.00
nukeA53–260%0.05
trainD51–420%0.02
cache—20–20%0.03
grail—10–10%0.07

Across the last 100 tracked matches.

Lifetime stats

334,060Lifetime kills
1.07K/D
14,092Matches
49.6%Match win rate · Top 50% of Level 10 players
49.0%Headshot %
13.8%Shot accuracy · Top 50% of Level 10 players
37,608MVPs
7,175Hours (in match)
15,675Bombs planted
3,721Bombs defused

Most-used weapons

AK-47155,159
AWP14,760
Knife7,480
MP96,815
MAC-105,264
XM10144,309

Lifetime map wins

21,558inferno
19,986dust2
4,726nuke
4,514train
2,605cbble
2,525vertigo
431office
142piranesi

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

Faceit stats

Combat

6,457Matches
51%Win rate
1.12Avg K/D
85.6ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage73750%1.1917.5
Ancient61857%1.2017.7
Anubis39048%1.1917.9
Dust233951%1.1116.5
Inferno23455%1.2318.0
Nuke19353%1.1917.7
Vertigo10343%1.0516.9
Train5652%1.0315.6

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
34.8%Accuracy (enemy spotted)
39.8%Spray accuracy
76.5%Counter-strafing
9.7°Preaim
528msReaction time
32.1%T opening success
33.1%CT opening success
0.59Enemies flashed / flash
4.6%Flash assists
8.34HE damage / grenade
11.47Flashes / 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 32.1232% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0527%6 Oct →
mirage10–13-0.059%6 Oct →
mirage13–70.0124%5 Oct →
mirage13–90.0016%3 Oct →
inferno11–13-0.0111%3 Oct →
anubis13–50.018%3 Oct →
dust219–160.0021%1 Oct →
ancient10–13-0.0120%1 Oct →
cache10–130.0317%30 Sept →
dust213–9-0.0215%30 Sept →
anubis7–13-0.0016%30 Sept →
dust25–13-0.0037%27 Sept →
cache8–130.0410%8 Aug →
dust25–130.0134%7 Aug →
nuke9–13-0.0418%7 Aug →
nuke2–130.0417%3 Aug →
mirage10–130.0312%2 Aug →
mirage10–13-0.0321%1 Aug →
ancient13–60.0312%12 Jul →
ancient5–13-0.0321%12 Jul →
dust213–60.0139%12 May →
ancient9–13-0.0113%11 May →
anubis2–13-0.0419%5 May →
inferno4–0-0.0140%5 May →
ancient7–13-0.0517%29 Apr →
mirage7–13-0.0623%27 Apr →
ancient13–100.0431%24 Apr →
ancient13–50.0841%24 Apr →
inferno5–130.0331%23 Apr →
anubis18–22-0.045%20 Apr →
mirage13–100.0619%20 Apr →
anubis13–10.0727%27 Feb →
mirage13–20.0927%27 Feb →
mirage4–13-0.0532%27 Feb →
inferno13–100.0324%25 Feb →
mirage6–130.0018%18 Feb →
anubis12–16-0.0113%17 Feb →
inferno13–100.0121%17 Feb →
inferno16–140.0123%14 Feb →
mirage16–140.0222%3 Feb →
mirage16–120.0413%29 Jan →
anubis9–13-0.0212%28 Jan →
mirage13–110.0432%25 Jan →
mirage13–70.0515%22 Jan →
train23–250.0426%13 Jan →
train13–90.0325%6 Jan →
dust24–13-0.0818%27 Dec →
inferno13–100.0113%27 Dec →
inferno16–140.0513%27 Dec →
train11–13-0.0311%27 Dec →
ancient13–8-0.0220%8 Nov →
nuke13–40.0418%7 Nov →
nuke13–100.1018%7 Nov →
ancient12–160.0225%3 Nov →
ancient8–13-0.0014%3 Nov →
mirage9–130.0213%3 Nov →
dust213–50.0331%3 Nov →
dust213–70.0328%3 Nov →
dust23–130.0111%2 Nov →
inferno13–50.1028%2 Nov →
dust213–6-0.0218%2 Nov →
dust213–80.0121%2 Nov →
mirage12–16-0.0114%2 Nov →
mirage16–140.0116%2 Nov →
train11–130.0232%2 Nov →
dust216–140.0422%2 Nov →
mirage13–60.0121%1 Nov →
mirage9–130.0815%30 Oct →
mirage13–100.0424%30 Oct →
train6–130.0528%26 Oct →
inferno9–30.0745%23 Oct →
mirage13–70.1530%7 Oct →
nuke13–30.1019%7 Aug →
inferno9–40.3226%3 Aug →
ancient10–130.0128%28 Jul →
dust216–140.0217%12 May →
dust24–13-0.0822%11 May →
grail6–130.0722%8 May →
dust219–170.0718%7 May →
anubis11–13-0.039%7 May →
dust26–130.0125%4 May →
mirage13–11-0.0420%1 May →
anubis10–130.0723%28 Apr →
mirage13–50.1019%19 Apr →
inferno1–13-0.0530%19 Apr →
inferno13–11-0.0313%16 Apr →
ancient13–70.0340%10 Apr →
mirage13–10.0817%22 Mar →
ancient8–130.0132%22 Mar →
dust210–13-0.0211%21 Mar →
anubis7–13-0.0417%21 Mar →
dust27–13-0.057%21 Mar →
ancient13–90.0514%15 Mar →
anubis16–140.0221%14 Mar →
mirage7–130.0419%5 Mar →
ancient13–80.0618%3 Mar →
anubis16–120.0112%2 Mar →
ancient3–13-0.0412%2 Mar →
inferno13–16-0.0321%26 Feb →
inferno15–15-0.0121%5 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 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.