⟡ dethkeik

⟡ dethkeik — CS2 Stats

76561198020167720[U:1:59901992]Steam profile ↗✓ No bans

763Tracked matches43%Win rate2020Tracked since
2,563Hours in CS
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 10 · 2,580 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 763 tracked matches. Play, then come back: the next observation lands here.

Rating over time

15,565Peak Premier in tracked matches
2,580Highest Faceit ELO seen on CSDB
81Days played since 2024-02-28

Faceit ELO

  • At peak — 2,580
  • Next: 3,000 ELO at 3,000 — 420 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-21
  • Level 10 first seen 2026-09-21

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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 21 Sep 2026 and 19 Oct 2026.

Measured 21 Sep 2026 → 19 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 rate50.3%50.9%
Shot accuracy15.4%13.7%
Kill/death ratio1.071.09
Match win rate52.7%48.4%

Share this profile

CSDB.GG⟡ dethkeikFACEITLevel 10 · 2,580 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,580csdb.gg/stats

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Performance scores

Aim64
Positioning56
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWLLWLLWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.9pp headshot accuracy · +38ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 539ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 561ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 542ms

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 (+1.3 against its own average).

Aim6.4
Utility4.5
Positioning5.6
Opening Duels3.7
Clutch3.4

Limited utility dependence

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

donk

Plays most like donk 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.4
Positioning5.6
Utility4.5
Mechanics4.9
Opening Duels2.1
Win Impact2.8

Composite 5.0/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time525ms+9ms
first ⅓ avg 516ms → last ⅓ avg 525ms
Headshot accuracy23.9%−0.1%
first ⅓ avg 24.0% → last ⅓ avg 23.9%

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

0.13Best match rating · 13–3 · inferno, 19 Sept →
40%Best headshot accuracy · 5–13 · anubis, 5 May →
344msFastest reaction time · 13–3 · ancient, 13 Jan →
13–0Biggest win · anubis, 21 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–13In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 64% over 14trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientB2311–1248%0.01
mirageA169–756%0.03
infernoB147–750%0.01
nukeA149–564%0.03
dust2B105–550%0.01
anubisC104–640%-0.02
trainC83–538%-0.03
overpass—42–250%-0.00
vertigo—10–10%-0.10

Across the last 100 tracked matches.

Lifetime stats

109,295Lifetime kills
1.07K/D
4,301Matches
52.7%Match win rate · Top 25% of Level 10 players
50.3%Headshot %
15.4%Shot accuracy · Top 50% of Level 10 players
12,099MVPs
2,563Hours (in match)
4,644Bombs planted
1,338Bombs defused

Most-used weapons

AK-4737,406
AWP14,437
P2504,159
Knife2,185
Tec-91,980
P901,939

Lifetime map wins

10,603dust2
10,463inferno
6,215nuke
4,082train
1,416cbble
964vertigo
66dust
49aztec

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

Faceit stats

Combat

1,476Matches
52%Win rate
1.09Avg K/D
79.0ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient17851%1.1317.2
Dust214451%1.0215.7
Mirage13447%1.1215.8
Inferno10953%1.1516.7
Nuke10556%1.1117.0
Anubis5054%1.1415.9
Overpass4957%1.0815.6
Train3234%0.9714.3

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.

23.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
31.2%Spray accuracy
72.1%Counter-strafing
10.9°Preaim
531msReaction time
36.4%T opening success
40.5%CT opening success
0.61Enemies flashed / flash
13.4%Flash assists
8.64HE damage / grenade
3.10Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0971 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 36.4495% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient7–130.0122%1 Apr →
overpass16–14-0.0327%31 Mar →
inferno15–190.0235%31 Mar →
mirage6–13-0.0231%11 Mar →
mirage13–9-0.0027%22 Feb →
ancient11–13-0.0220%10 Jan →
dust210–13-0.0923%6 Jan →
nuke13–70.0922%21 Nov →
ancient13–90.0623%20 Nov →
ancient13–100.1134%9 Nov →
nuke10–130.0115%5 Nov →
ancient13–80.0011%31 Oct →
inferno4–13-0.0332%28 Oct →
ancient7–13-0.0423%26 Oct →
train13–50.0214%23 Oct →
inferno6–13-0.0422%22 Oct →
ancient2–13-0.0715%17 Oct →
dust213–90.0137%16 Oct →
ancient11–130.0128%16 Oct →
overpass11–130.0427%15 Oct →
ancient13–30.0125%14 Oct →
ancient13–50.0519%12 Oct →
dust27–13-0.0222%12 Oct →
overpass13–8-0.0120%6 Oct →
ancient13–110.0413%6 Oct →
train7–13-0.0619%30 Sept →
inferno13–80.0334%27 Sept →
overpass10–13-0.0216%26 Sept →
ancient12–16-0.0024%25 Sept →
ancient5–13-0.0227%25 Sept →
ancient12–16-0.0123%24 Sept →
nuke13–9-0.0326%24 Sept →
inferno13–100.0030%23 Sept →
train13–3-0.0520%22 Sept →
inferno7–13-0.0515%20 Sept →
mirage13–60.0329%20 Sept →
nuke13–110.0135%20 Sept →
inferno13–30.1328%19 Sept →
mirage13–50.0421%18 Sept →
ancient16–14-0.0133%17 Sept →
dust213–110.0726%16 Sept →
inferno17–19-0.0133%15 Sept →
inferno3–13-0.0821%15 Sept →
nuke7–13-0.0330%9 Sept →
inferno13–10-0.0124%8 Sept →
inferno13–50.0530%4 Sept →
mirage13–80.1027%4 Sept →
nuke19–160.0518%3 Sept →
train11–130.0221%23 Aug →
mirage5–13-0.0416%23 Aug →
train11–130.0117%7 Aug →
mirage14–160.0336%27 Jun →
dust211–13-0.0526%24 Jun →
dust213–40.0121%5 Jun →
nuke13–80.0321%5 Jun →
ancient14–16-0.0420%5 Jun →
mirage7–13-0.0130%29 May →
nuke8–130.0428%26 May →
dust211–130.0314%23 May →
anubis13–100.0124%21 May →
train15–19-0.0122%19 May →
train13–7-0.0818%18 May →
dust213–60.0533%15 May →
nuke11–130.0535%7 May →
ancient13–20.0523%5 May →
mirage13–70.0322%5 May →
mirage16–130.0312%2 May →
ancient10–13-0.0412%29 Apr →
nuke12–160.0016%28 Apr →
anubis6–13-0.0224%24 Apr →
nuke13–60.0120%22 Apr →
inferno13–110.0416%20 Apr →
ancient7–130.0422%18 Apr →
train6–7-0.0721%29 Mar →
mirage13–100.0729%7 Mar →
mirage16–130.0116%4 Mar →
dust213–110.0121%27 Feb →
mirage11–13-0.0115%26 Jan →
nuke13–110.0319%23 Jan →
anubis13–9-0.0328%13 Jan →
ancient13–3-0.0221%13 Jan →
ancient9–130.0921%24 Dec →
nuke13–80.0629%20 Dec →
mirage6–130.0922%10 Dec →
inferno13–100.1131%9 Nov →
mirage5–130.0431%9 Nov →
mirage16–140.0217%27 Aug →
anubis5–13-0.1028%13 Aug →
anubis6–13-0.0718%21 Jul →
anubis13–00.0335%21 Jul →
ancient13–50.0328%18 Jul →
anubis6–130.0135%17 Jul →
inferno9–13-0.0533%14 Jul →
anubis13–6-0.0314%14 Jul →
dust212–160.0930%20 Jun →
ancient13–70.0325%28 May →
anubis6–130.0730%28 May →
nuke13–60.0227%27 May →
anubis5–13-0.0440%5 May →
vertigo1–13-0.1020%28 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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