khelix

khelix — CS2 Stats

CG76561199214814329[U:1:1254548601]Steam profile ↗✓ No bans

2,662Tracked matches53%Win rate2021Tracked since
3,039Hours in CS14Hrs last 2 wks
CSDB Rating5.8 SolidSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

+329Faceit ELO · 2,178 → 2,507

Rating over time

Premier CS Rating: 21,668 -3,612 27 Dec – 26 Jun · 10 days played
21,66825,977peak 25,97727 Dec26 Jun
25,977Peak Premier in tracked matches
2,507Highest Faceit ELO seen on CSDB
56Days played since 2025-12-27

Faceit ELO

  • At peak — 2,507
  • Next: 3,000 ELO at 3,000 — 493 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches15——
Win rate67%——
K/D1.08——
Headshot %56%——

Measured 6 Sep 2026 → 4 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGkhelixPEAK ELO2,507csdb.gg/stats

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Performance scores

Aim78
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY41–58–1Last 10041%Win rateLWLWWLWLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · −53ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 495ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 565ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 592ms

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 (+1.5 against its own average).

Aim7.8
Utility5.5
Positioning4.6
Opening Duels1.8
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

b1t

Plays most like b1t 91% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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 33 points — deaths here waste a strong aim profile.

Reaction time. 582ms 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

Aim7.8
Positioning4.6
Utility5.5
Mechanics6.4
Opening Duels0.5
Win Impact6.1

Composite 5.8/10 (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 rating0.02−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time582ms+2ms
first ⅓ avg 580ms → last ⅓ avg 582ms
Headshot accuracy21.5%−1.8%
first ⅓ avg 23.2% → last ⅓ avg 21.5%

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

0.19Best match rating · 9–7 · inferno, 16 Mar →
40%Best headshot accuracy · 13–10 · vertigo, 19 May →
359msFastest reaction time · 6–9 · inferno, 22 Feb →
13–1Biggest win · mirage, 17 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–15In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 14ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2610–1638%0.02
mirageC249–1538%0.02
infernoB147–750%0.04
nukeC83–538%0.05
overpassC83–538%0.03
ancientD72–529%0.01
anubis—42–250%0.03
vertigo—31–233%0.02
poseidon—21–150%0.07
cache—11–0100%0.11
sanctum—11–0100%0.06
stronghold—11–0100%0.13
train—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,376Lifetime kills
1.15K/D · Top 25% of tracked players
3,266Matches
47.9%Match win rate · Top 50% of tracked players
55.0%Headshot % · Top 10% of tracked players
11.3%Shot accuracy
12,130MVPs
2,409Hours (in match)
4,003Bombs planted
1,458Bombs defused

Most-used weapons

AK-4742,350
AWP8,835
Knife2,283
SSG 081,564
MAC-101,282

Lifetime map wins

6,373inferno
5,850dust2
4,499vertigo
3,738nuke
1,705train
193cbble
54lake
23ar_shoots

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

Faceit stats

Combat

2,334Matches
52%Win rate
1.47Avg K/D
83.1ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
19Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust230651%1.3417.4
Mirage27651%1.2917.5
Ancient25853%1.2017.2
Nuke17755%1.2917.9
Anubis14453%1.2016.4
Inferno12746%1.2116.1
Train5242%1.1515.8
Vertigo3964%1.4116.5

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.

21.3%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.9%Spray accuracy
78.6%Counter-strafing
10.4°Preaim
582msReaction time
32.8%T opening success
31.5%CT opening success
0.63Enemies flashed / flash
4.3%Flash assists
8.74HE damage / grenade
8.46Flashes / 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 32.7921% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo12–160.0216%25 Sept →
dust213–60.036%25 Sept →
inferno11–13-0.0726%17 Aug →
mirage13–10.0521%17 Aug →
ancient13–9-0.0535%17 Aug →
vertigo6–130.0322%3 Aug →
inferno9–2-0.0136%3 Aug →
inferno7–130.0128%20 Jul →
dust26–130.007%15 Jul →
dust213–50.0730%14 Jul →
mirage13–40.0116%11 Jul →
dust213–60.0532%8 Jul →
ancient7–13-0.0427%27 Jun →
dust213–4-0.0124%26 Jun →
nuke8–130.0433%26 Jun →
dust213–90.0017%26 Jun →
dust214–160.0122%22 Jun →
dust28–130.0116%17 Jun →
nuke10–130.0821%30 May →
dust213–80.1615%27 May →
dust211–13-0.0426%20 May →
overpass11–13-0.0118%20 May →
vertigo13–100.0240%19 May →
mirage12–30.1322%13 May →
cache13–110.1115%2 May →
mirage13–3-0.0221%28 Apr →
mirage9–13-0.0614%28 Apr →
mirage13–70.0924%27 Apr →
anubis13–1-0.0014%27 Apr →
ancient6–13-0.0612%27 Apr →
mirage13–80.0215%22 Apr →
mirage8–13-0.0217%12 Apr →
ancient9–13-0.0121%11 Apr →
dust211–130.0724%7 Apr →
dust211–130.0138%5 Apr →
mirage11–13-0.0115%25 Mar →
dust210–130.0020%24 Mar →
dust26–130.0421%17 Mar →
overpass4–130.0016%16 Mar →
inferno9–70.1920%16 Mar →
poseidon7–90.0615%16 Mar →
inferno11–130.0222%8 Mar →
overpass14–160.0316%8 Mar →
dust213–60.0417%8 Mar →
mirage4–13-0.0617%7 Mar →
dust213–9-0.0325%1 Mar →
overpass4–13-0.0231%25 Feb →
anubis4–130.026%25 Feb →
mirage7–130.0540%24 Feb →
inferno13–40.1420%24 Feb →
dust26–13-0.0628%22 Feb →
anubis20–220.0014%22 Feb →
inferno6–9-0.1015%22 Feb →
mirage13–110.0425%17 Feb →
overpass13–110.1032%15 Feb →
overpass9–13-0.0220%8 Feb →
mirage13–40.0530%8 Feb →
overpass13–90.1029%8 Feb →
nuke13–100.0218%4 Feb →
sanctum9–50.0619%4 Feb →
mirage10–130.0230%3 Feb →
nuke13–90.1322%3 Feb →
mirage11–130.0225%1 Feb →
mirage7–13-0.0310%30 Jan →
anubis13–60.1017%30 Jan →
poseidon9–50.0819%28 Jan →
stronghold13–100.1316%28 Jan →
mirage8–130.1122%28 Jan →
mirage2–130.0530%23 Jan →
dust213–40.1521%23 Jan →
overpass16–140.0515%21 Jan →
mirage3–130.0220%16 Jan →
nuke4–130.0524%16 Jan →
nuke6–130.0023%16 Jan →
mirage6–130.0319%16 Jan →
dust23–130.0123%16 Jan →
dust213–110.0432%14 Jan →
inferno13–30.0629%12 Jan →
dust214–160.0116%11 Jan →
inferno13–60.0629%11 Jan →
inferno13–110.0811%5 Jan →
nuke13–40.0731%5 Jan →
inferno8–13-0.0313%5 Jan →
mirage8–130.0113%4 Jan →
dust212–16-0.0021%4 Jan →
dust25–130.0419%4 Jan →
ancient7–130.0924%4 Jan →
train6–130.0216%2 Jan →
mirage14–160.0320%2 Jan →
mirage13–90.0131%1 Jan →
inferno13–70.1628%1 Jan →
dust210–13-0.0129%1 Jan →
ancient8–130.0522%31 Dec →
mirage5–130.0731%31 Dec →
dust26–130.0428%30 Dec →
dust24–130.0127%30 Dec →
inferno10–130.0427%30 Dec →
nuke15–150.0019%30 Dec →
ancient13–110.1027%30 Dec →
inferno11–130.0425%27 Dec →

Match data via Leetify.

Recent teammates

Milestones

2.5K 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.