JekKU 🦥 — CS2 Stats

FI76561198348010846[U:1:387745118]Steam profile ↗✓ No bans

3,967Tracked matches50%Win rate2020Tracked since

9,947Hours in CS15Hrs last 2 wks

CSDB Rating6.5 SolidPositional Player

CSDB Leaderboard#190094 of 233147 tracked

FaceitLevel 10 · 2,955 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 18 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,955 → 2,955

+10Tracked matches · now 3,967

+6.7ppWin rate · 43.3% → 50.0%

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. 43 days played since 26 Mar 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

Faceit ELO: 2,955 +0 5 Sept – 18 Sept · 2 observations

2,955Highest Faceit ELO seen on CSDB

43Days played since 2026-03-26

Faceit ELO

At peak — 2,955
Next: 3,000 ELO at 3,000 — 45 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-09-05
Level 10 first seen 2026-09-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=27,259), 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.

Metric	This player	Level 10 median
Headshot rate	52.2%	51.0%
Shot accuracy	13.9%	13.7%
Kill/death ratio	0.87	1.09
Match win rate	46.1%	48.4%

Share this profile

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

Aim78

Positioning63

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateWLLWWWWLLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −20ms reaction

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

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 16%
Avg reaction 436ms

Last 10

6–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 485ms

Last 20

10–10 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 22%
Avg reaction 495ms

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 against its own average).

Aim7.8

Utility6.1

Positioning6.3

Opening Duels5.0

Clutch3.6

Strong CT-side opener

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

Plays most like jL 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning6.3

Utility6.1

Mechanics5.9

Opening Duels5.2

Win Impact5.0

Composite 6.5/10 (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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time509ms−77ms

first ⅓ avg 586ms → last ⅓ avg 509ms

Headshot accuracy21.7%+0.5%

first ⅓ avg 21.1% → last ⅓ avg 21.7%

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

0.22Best match rating · 13–2 · dust2, 24 May →

41%Best headshot accuracy · 13–9 · nuke, 15 Aug →

359msFastest reaction time · 13–11 · nuke, 19 Sept →

13–0Biggest win · ancient, 1 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak

12–9In matches decided by ≤2 rounds

20Overtime games

Map breakdown

infernoBest map · 83% over 6cacheWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	35	20–15	57%	0.02
mirage	A	19	12–7	63%	0.01
ancient	S	15	10–5	67%	0.02
inferno	S	6	5–1	83%	0.00
overpass	S	6	4–2	67%	0.01
cache	C	5	2–3	40%	-0.02
anubis	C	5	2–3	40%	-0.02
dust2	—	4	3–1	75%	0.05
vertigo	—	4	1–3	25%	0.01
train	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Lifetime stats

312,041Lifetime kills

0.87K/D

11,844Matches

46.1%Match win rate

52.2%Headshot % · Top 50% of Level 10 players

13.9%Shot accuracy · Top 50% of Level 10 players

36,596MVPs

10,573Hours (in match)

9,513Bombs planted

7,417Bombs defused

Most-used weapons

AK-47139,291

M4A4 / M4A1-S52,204

AWP25,484

P2000 / USP-S18,268

Desert Eagle12,799

Glock-1811,666

Knife6,167

MAC-106,140

AUG5,494

MP94,874

Lifetime map wins

24,406nuke

14,849vertigo

14,686inferno

10,149train

7,483dust2

512cbble

233office

214aztec

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

Faceit stats

Combat

3,139Matches

53%Win rate

1.03Avg K/D

82.2ADR

52%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	373	54%	1.08	15.8
Nuke	350	63%	1.19	16.8
Mirage	295	46%	1.04	16.5
Vertigo	130	57%	1.01	15.4
Inferno	84	43%	0.94	15.7
Anubis	84	48%	0.90	14.7
Train	79	52%	1.12	17.1
Overpass	68	51%	1.21	16.7

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.

21.4%Headshot accuracy

35.3%Accuracy (enemy spotted)

39.9%Spray accuracy

76.7%Counter-strafing

10.8°Preaim

505msReaction time

40.1%T opening success

61.8%CT opening success

0.53Enemies flashed / flash

8.8%Flash assists

7.10HE damage / grenade

12.29Flashes / match

Recommended for you

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	-0.06	11%	19 Sept →
cache	5–13	-0.04	24%	19 Sept →
ancient	10–13	-0.06	17%	19 Sept →
nuke	13–11	-0.03	16%	19 Sept →
ancient	13–4	0.06	13%	19 Sept →
ancient	13–11	0.03	20%	19 Sept →
cache	13–5	0.05	19%	14 Sept →
nuke	6–13	0.01	35%	13 Sept →
ancient	23–25	-0.01	13%	13 Sept →
cache	13–7	0.00	34%	4 Sept →
nuke	8–13	-0.03	24%	4 Sept →
nuke	5–13	-0.04	11%	4 Sept →
mirage	13–16	0.01	23%	29 Aug →
nuke	13–6	0.03	35%	29 Aug →
ancient	14–16	0.04	29%	28 Aug →
vertigo	13–7	0.05	30%	28 Aug →
dust2	13–6	-0.01	19%	28 Aug →
cache	13–16	-0.05	22%	23 Aug →
nuke	11–13	0.05	16%	22 Aug →
mirage	13–11	-0.07	30%	16 Aug →
mirage	5–13	-0.04	27%	16 Aug →
vertigo	5–13	-0.03	19%	16 Aug →
mirage	13–5	0.06	21%	16 Aug →
nuke	13–8	0.01	16%	16 Aug →
mirage	19–15	-0.02	24%	16 Aug →
nuke	12–16	-0.07	12%	15 Aug →
nuke	9–13	-0.05	12%	15 Aug →
mirage	13–8	0.03	19%	15 Aug →
vertigo	7–13	-0.01	23%	15 Aug →
nuke	13–9	0.05	41%	15 Aug →
nuke	16–13	-0.03	16%	15 Aug →
inferno	13–7	0.07	22%	14 Aug →
anubis	7–13	0.01	25%	14 Aug →
mirage	22–19	-0.02	28%	9 Aug →
nuke	11–13	0.07	30%	25 Jul →
anubis	6–13	-0.01	17%	25 Jul →
nuke	10–13	0.16	28%	25 Jul →
cache	6–13	-0.04	20%	25 Jul →
mirage	13–10	0.02	16%	25 Jul →
nuke	11–13	0.03	25%	24 Jul →
nuke	13–9	0.01	23%	29 Jun →
vertigo	1–5	0.03	30%	29 Jun →
mirage	13–5	0.13	27%	29 Jun →
nuke	10–13	0.04	25%	29 Jun →
anubis	13–6	-0.08	24%	25 Jun →
mirage	10–13	-0.00	24%	25 Jun →
ancient	6–13	-0.00	22%	25 Jun →
mirage	1–13	-0.01	15%	25 Jun →
mirage	14–16	0.01	30%	25 Jun →
nuke	13–11	0.05	20%	24 Jun →
overpass	16–12	0.00	23%	24 Jun →
nuke	16–14	-0.01	19%	24 Jun →
mirage	13–9	-0.00	22%	20 Jun →
mirage	13–11	-0.00	23%	19 Jun →
nuke	13–5	0.08	33%	19 Jun →
mirage	13–10	0.08	35%	18 Jun →
nuke	6–13	0.07	21%	18 Jun →
train	13–4	0.05	23%	17 Jun →
nuke	7–13	-0.07	30%	27 May →
anubis	5–13	-0.05	17%	24 May →
dust2	13–2	0.22	31%	24 May →
ancient	13–8	0.13	33%	24 May →
nuke	13–7	0.06	17%	24 May →
anubis	13–5	0.03	14%	24 May →
nuke	13–5	0.01	41%	24 May →
ancient	13–3	0.05	20%	24 May →
nuke	13–5	0.01	24%	24 May →
overpass	6–13	-0.02	15%	24 May →
inferno	13–8	-0.01	29%	24 May →
inferno	9–13	0.00	19%	23 May →
nuke	13–6	0.07	34%	23 May →
ancient	13–11	-0.03	26%	23 May →
inferno	13–10	0.02	36%	22 May →
ancient	8–13	-0.04	13%	21 May →
overpass	13–7	0.02	15%	21 May →
dust2	10–13	0.03	18%	20 May →
ancient	16–14	0.04	25%	19 May →
ancient	16–13	-0.00	25%	19 May →
nuke	13–9	0.01	14%	17 May →
nuke	13–6	0.03	15%	17 May →
mirage	13–9	-0.02	26%	13 May →
nuke	16–13	0.09	32%	12 May →
overpass	16–14	0.05	21%	8 May →
ancient	16–13	0.02	14%	8 May →
nuke	17–19	0.03	22%	2 May →
nuke	13–7	-0.02	16%	30 Apr →
overpass	11–13	-0.02	13%	24 Apr →
inferno	13–4	-0.03	24%	24 Apr →
mirage	13–9	0.01	22%	22 Apr →
nuke	17–19	-0.00	22%	16 Apr →
ancient	13–11	0.01	19%	16 Apr →
nuke	13–8	0.03	25%	15 Apr →
overpass	13–9	0.02	19%	13 Apr →
nuke	19–17	0.04	24%	7 Apr →
nuke	8–13	-0.04	24%	4 Apr →
mirage	4–13	-0.06	9%	4 Apr →
inferno	13–11	-0.05	27%	1 Apr →
ancient	13–0	0.04	12%	1 Apr →
nuke	16–13	0.01	15%	26 Mar →
mirage	5–13	-0.03	26%	26 Mar →