Cheeky jef

Cheeky jef — CS2 Stats

NE76561198143316115[U:1:183050387]Steam profile ↗✓ No bans

575Tracked matches48%Win rate2021Tracked since
4,244Hours in CS3Hrs last 2 wks
CSDB Rating5.6 SolidSupport
Premier CS Rating19,617Top 50% of 205,416 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#88517 of 252624 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (6 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

Premier CS Rating: 19,617 -1,203 16 Jul – 11 Oct · 23 days played
18,05621,617peak 21,61716 Jul11 Oct
21,682Peak Premier in tracked matches
44Days played since 2026-07-16

Premier CS Rating

  • 2,000 below peak (21,617)
  • +1,090 over 30 days · improving
  • -1,203 over 90 days
  • Next: Pink band at 20,000 — 383 to go
  • Reached: Pink band · 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 rate43.9%44.3%46.9%3.1% short
Shot accuracy11.0%11.9%13.0%2.0% short
Kill/death ratio1.031.031.080.05 short
Match win rate44.4%45.2%46.7%2.2% 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.GGCheeky jefPREMIER19,617 · Purple bandcsdb.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

Aim69
Positioning52
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY44–45–11Last 10044%Win rateWWLWWWLLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · −62ms reaction

Win rate +10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 546ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 502ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 533ms

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 against its own average).

Aim6.9
Utility5.4
Positioning5.2
Opening Duels2.9
Clutch0.0

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Aim6.9
Positioning5.2
Utility5.4
Mechanics6.3
Opening Duels2.9
Win Impact4.4

Composite 5.6/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time526ms−2ms
first ⅓ avg 528ms → last ⅓ avg 526ms
Headshot accuracy16.6%+0.0%
first ⅓ avg 16.6% → last ⅓ avg 16.6%

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

0.18Best match rating · 9–7 · inferno, 19 Jul →
30%Best headshot accuracy · 5–13 · mirage, 20 Jul →
273msFastest reaction time · 4–9 · inferno, 9 Aug →
13–1Biggest win · mirage, 1 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 51% over 35ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB3518–1751%0.02
cacheC2511–1444%-0.00
mirageC145–936%0.01
anubisC104–640%-0.02
ancientD72–529%0.01
vertigo—32–167%-0.06
dust2—21–150%-0.02
overpass—20–20%-0.00
office—11–0100%-0.01
train—10–10%0.05

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

72,641Lifetime kills
1.03K/D
4,554Matches
44.4%Match win rate
43.9%Headshot %
11.0%Shot accuracy
13,141MVPs
1,398Hours (in match)
1,452Bombs planted
546Bombs defused

Most-used weapons

Lifetime map wins

6,028dust2
4,677inferno
781cbble
443vertigo
383nuke
186office
99train
43lake

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

Faceit stats

Combat

8Matches
50%Win rate
1.20Avg K/D
97.2ADR
50%Headshot %

Clutches & streaks

20%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.7422.0
Anubis20%0.9214.0
Dust21100%1.4014.0
Inferno1100%1.009.0

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.

16.2%Headshot accuracy
30.5%Accuracy (enemy spotted)
36.3%Spray accuracy
78.5%Counter-strafing
8.4°Preaim
535msReaction time
40.2%T opening success
43.2%CT opening success
0.50Enemies flashed / flash
3.3%Flash assists
6.15HE damage / grenade
10.82Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4975 — below the 0.5 mark we flag

    Grenade Lineups →
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
inferno13–50.1223%11 Oct →
cache13–70.0516%8 Oct →
cache9–13-0.0221%1 Oct →
cache13–80.0319%30 Sept →
anubis13–9-0.0915%23 Sept →
inferno9–60.0313%18 Sept →
inferno6–9-0.1411%18 Sept →
cache9–13-0.0619%18 Sept →
cache13–110.0715%18 Sept →
anubis4–13-0.0819%17 Sept →
dust27–13-0.0522%15 Sept →
cache10–13-0.0211%9 Sept →
cache13–70.0015%9 Sept →
cache4–13-0.0713%5 Sept →
inferno9–7-0.0124%2 Sept →
mirage13–4-0.0514%2 Sept →
office13–7-0.0129%2 Sept →
inferno15–15-0.0016%1 Sept →
mirage13–10.098%1 Sept →
anubis8–13-0.0516%30 Aug →
mirage13–100.0722%30 Aug →
cache3–13-0.0213%29 Aug →
inferno8–80.0611%27 Aug →
inferno7–9-0.0521%27 Aug →
inferno9–130.0216%27 Aug →
cache11–13-0.0421%26 Aug →
cache13–30.017%26 Aug →
inferno7–90.1314%25 Aug →
inferno4–9-0.0014%24 Aug →
cache3–13-0.0113%24 Aug →
inferno13–100.1114%20 Aug →
mirage7–13-0.0318%19 Aug →
inferno9–70.1326%19 Aug →
mirage10–130.0815%19 Aug →
overpass7–130.038%19 Aug →
ancient13–110.028%19 Aug →
inferno3–13-0.0619%18 Aug →
cache13–50.0519%16 Aug →
mirage7–13-0.0310%15 Aug →
cache13–60.0023%13 Aug →
train9–130.0518%13 Aug →
inferno2–9-0.115%10 Aug →
cache10–13-0.0112%10 Aug →
cache13–4-0.0227%10 Aug →
inferno4–9-0.1211%9 Aug →
inferno5–9-0.0015%9 Aug →
inferno9–10.1618%9 Aug →
inferno9–3-0.0512%7 Aug →
inferno9–7-0.0219%7 Aug →
vertigo16–13-0.0127%6 Aug →
mirage13–80.0016%6 Aug →
inferno15–15-0.0318%6 Aug →
anubis8–13-0.0713%6 Aug →
cache13–60.0826%5 Aug →
cache6–13-0.046%5 Aug →
cache12–120.0016%5 Aug →
mirage6–130.0520%4 Aug →
vertigo13–5-0.0117%4 Aug →
inferno8–80.0516%3 Aug →
mirage12–120.0616%2 Aug →
inferno8–8-0.008%2 Aug →
cache9–130.0414%29 Jul →
anubis14–16-0.0121%28 Jul →
cache13–50.0529%28 Jul →
ancient11–13-0.0315%26 Jul →
mirage10–130.0520%26 Jul →
ancient15–150.0213%26 Jul →
inferno10–13-0.0620%26 Jul →
cache14–16-0.0210%26 Jul →
cache5–13-0.034%26 Jul →
mirage13–40.0229%26 Jul →
inferno13–40.0111%25 Jul →
ancient7–130.0324%24 Jul →
vertigo4–9-0.1616%24 Jul →
overpass5–9-0.0418%24 Jul →
inferno9–60.076%24 Jul →
inferno9–7-0.1326%24 Jul →
anubis12–12-0.0113%23 Jul →
inferno8–80.0322%23 Jul →
inferno9–30.0825%23 Jul →
inferno9–70.0615%23 Jul →
inferno7–13-0.0312%23 Jul →
anubis12–120.0519%22 Jul →
anubis11–30.0812%22 Jul →
ancient8–13-0.0412%21 Jul →
mirage8–13-0.0716%21 Jul →
inferno9–50.0618%21 Jul →
inferno9–50.0718%21 Jul →
cache13–6-0.0213%21 Jul →
inferno13–80.0315%20 Jul →
mirage5–13-0.0530%20 Jul →
ancient9–13-0.0126%19 Jul →
cache6–13-0.0410%19 Jul →
inferno9–70.1815%19 Jul →
inferno13–60.0113%18 Jul →
anubis13–70.0511%18 Jul →
anubis13–8-0.0512%16 Jul →
mirage3–13-0.0817%16 Jul →
ancient13–30.0823%16 Jul →
dust216–130.0118%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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