ketkukeijo

ketkukeijo — CS2 Stats

NE76561199300832739[U:1:1340567011]Steam profile ↗✓ No bans

1,122Tracked matches52%Win rate2022Tracked since
1,069Hours in CS20Hrs last 2 wks
CSDB Rating6.4 SolidClutch Specialist
Premier CS Rating16,609Purple band · top ~22% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (yesterday). 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

Premier CS Rating: 16,609 +6,363 27 Apr – 5 Nov · 23 days played
10,24618,019peak 18,01927 Apr5 Nov
18,377Peak Premier in tracked matches
1,248Highest Faceit ELO seen on CSDB
34Days played since 2026-04-27

Faceit ELO

  • At peak — 1,248
  • Next: Level 7 at 1,351 — 103 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 1,410 below peak (18,019)
  • Next: Pink band at 20,000 — 3,391 to go
  • Reached: 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate45.0%44.4%46.9%1.9% short
Shot accuracy5.6%11.9%13.0%7.4% short
Kill/death ratio1.011.031.080.07 short
Match win rate44.0%45.2%46.7%2.7% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGketkukeijoPREMIER16,609 · Purple bandPEAK ELO1,248csdb.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

Aim81
Positioning52
Utility54

0–100 skill scores via Leetify.

Recent form

COLD59–40–1Last 10059%Win rateLLLWLLWLWL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −9.0pp headshot accuracy · +64ms reaction

Win rate down 30pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 677ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 650ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 618ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+0.9 against its own average).

Aim8.1
Utility5.4
Positioning5.2
Opening Duels3.2
Clutch5.8

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 97% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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. 613ms 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

Aim8.1
Positioning5.2
Utility5.4
Mechanics7.2
Opening Duels4.7
Win Impact5.6

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time626ms−12ms
first ⅓ avg 639ms → last ⅓ avg 626ms
Headshot accuracy22.0%−2.9%
first ⅓ avg 24.9% → last ⅓ avg 22.0%

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

0.39Best match rating · 9–0 · vertigo, 27 Oct →
44%Best headshot accuracy · 9–1 · nuke, 6 May →
453msFastest reaction time · 9–13 · inferno, 12 Oct →
13–0Biggest win · mirage, 12 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
9–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 76% over 17anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%0.01
ancientA1810–856%-0.02
dust2S1713–476%-0.01
infernoB137–654%-0.00
cacheS128–467%0.01
nukeS64–267%0.02
anubisC52–340%-0.00
vertigo—43–175%0.16
office—10–10%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,548Lifetime kills
1.01K/D
1,348Matches
44.0%Match win rate
45.0%Headshot % · Top 50% of Purple band
5.6%Shot accuracy
2,699MVPs
606Hours (in match)
411Bombs planted
300Bombs defused

Most-used weapons

Lifetime map wins

2,285inferno
1,969dust2
1,374nuke
325vertigo
245train
71office
27ar_shoots
18lake

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

Faceit stats

Combat

78Matches
59%Win rate
1.09Avg K/D
77.4ADR
42%Headshot %

Clutches & streaks

49%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2673%1.0815.8
Dust21164%1.2415.3
Nuke1070%1.1613.8
Ancient944%0.9813.1
Inferno933%0.8914.0
Anubis850%1.2417.0
Cache425%1.0713.5
Overpass1100%0.7512.0

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.

20.3%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.0%Spray accuracy
82.6%Counter-strafing
8.0°Preaim
613msReaction time
54.6%T opening success
42.9%CT opening success
0.61Enemies flashed / flash
5.7%Flash assists
6.53HE damage / grenade
10.88Flashes / match

Recommended for you

Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.0723%5 Nov →
mirage7–130.0830%5 Nov →
anubis4–130.0316%4 Nov →
ancient13–5-0.028%2 Nov →
ancient6–13-0.0412%2 Nov →
inferno14–160.0214%2 Nov →
mirage13–9-0.0612%2 Nov →
ancient11–13-0.019%2 Nov →
ancient3–3-0.1125%2 Nov →
ancient1–13-0.0812%2 Nov →
dust213–80.0527%2 Nov →
dust27–13-0.0717%1 Nov →
dust213–9-0.0527%1 Nov →
mirage13–110.0223%1 Nov →
mirage6–13-0.0330%31 Oct →
dust213–8-0.0338%31 Oct →
mirage8–13-0.0315%31 Oct →
cache10–130.0327%31 Oct →
cache13–11-0.0520%31 Oct →
inferno13–50.0026%31 Oct →
inferno13–8-0.0110%31 Oct →
dust213–50.0516%31 Oct →
mirage13–70.0013%27 Oct →
inferno13–10.0115%27 Oct →
dust213–30.0432%27 Oct →
anubis7–13-0.0611%27 Oct →
vertigo9–00.3933%27 Oct →
ancient12–120.0318%24 Oct →
mirage10–13-0.0225%24 Oct →
vertigo7–9-0.0941%19 Oct →
ancient2–13-0.0927%19 Oct →
cache13–2-0.0842%19 Oct →
ancient9–13-0.0431%18 Oct →
dust21–13-0.1138%18 Oct →
cache9–13-0.0025%18 Oct →
ancient13–80.0813%18 Oct →
inferno7–13-0.0730%18 Oct →
ancient13–60.0229%17 Oct →
mirage13–11-0.0017%17 Oct →
dust213–40.0931%17 Oct →
dust213–100.0535%17 Oct →
office3–130.0715%17 Oct →
cache13–100.0432%17 Oct →
mirage9–13-0.0220%17 Oct →
anubis13–7-0.0027%17 Oct →
mirage13–10-0.0134%17 Oct →
cache13–5-0.0412%17 Oct →
mirage7–13-0.0811%15 Oct →
nuke6–13-0.0519%15 Oct →
ancient13–11-0.068%15 Oct →
dust213–60.0117%14 Oct →
dust213–10-0.0312%14 Oct →
ancient16–14-0.0618%14 Oct →
cache13–11-0.0417%13 Oct →
inferno9–13-0.080%12 Oct →
ancient13–11-0.0318%12 Oct →
mirage9–13-0.0515%12 Oct →
anubis13–8-0.0518%11 Oct →
cache13–20.1420%11 Oct →
inferno13–60.0833%11 Oct →
mirage13–40.0117%11 Oct →
vertigo9–30.1823%11 Oct →
dust213–80.0330%7 Oct →
cache9–13-0.0520%14 Sept →
nuke13–70.039%14 Jul →
anubis8–130.079%19 May →
ancient13–70.0725%19 May →
mirage13–3-0.0228%19 May →
mirage6–130.0428%19 May →
mirage13–80.0725%18 May →
cache13–50.1830%18 May →
inferno6–130.0114%18 May →
dust213–9-0.0123%18 May →
nuke13–110.0128%17 May →
inferno7–13-0.0124%16 May →
mirage12–160.0111%14 May →
dust210–13-0.0424%14 May →
ancient13–40.0726%12 May →
mirage13–00.0643%12 May →
vertigo9–50.1833%12 May →
mirage13–30.0725%10 May →
dust27–13-0.0522%10 May →
mirage9–130.0517%9 May →
ancient2–13-0.0232%9 May →
mirage13–40.0832%8 May →
ancient7–13-0.0426%7 May →
ancient13–4-0.0314%7 May →
nuke6–13-0.0728%7 May →
inferno13–10-0.0214%6 May →
nuke9–10.1244%6 May →
dust213–9-0.0122%6 May →
nuke13–50.0518%6 May →
inferno13–80.0126%5 May →
dust213–10-0.0237%4 May →
inferno9–130.0121%1 May →
mirage13–80.0630%1 May →
inferno13–70.0415%1 May →
cache13–60.0530%1 May →
cache5–13-0.0916%30 Apr →
mirage10–130.0219%27 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.