Junkyy

Junkyy — CS2 Stats

LU76561198091407921[U:1:131142193]Steam profile ↗✓ No bans

950Tracked matches60%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Premier CS Rating21,842Top 50% of 215,248 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#59081 of 261493 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 21,842 +1,843 19 May – 10 Nov · 38 days played
19,28922,622peak 22,62219 May10 Nov
22,622Peak Premier in tracked matches
64Days played since 2026-05-19

Premier CS Rating

  • 780 below peak (22,622)
  • +28 over 30 days · steady
  • +293 over 90 days
  • Next: Red band at 25,000 — 3,158 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGJunkyyFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER21,842 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning48
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateWWLWWLWWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −116ms 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 29%
  • Avg reaction 574ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 510ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 568ms

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 (+1.9 against its own average).

Aim7.5
Utility6.3
Positioning4.8
Opening Duels2.2

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Reaction time. 561ms 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

Aim7.5
Positioning4.8
Utility6.3
Mechanics6.2
Opening Duels3.1
Win Impact8.3

Composite 6.3/10 (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 time566ms−53ms
first ⅓ avg 619ms → last ⅓ avg 566ms
Headshot accuracy20.3%−1.3%
first ⅓ avg 21.6% → last ⅓ avg 20.3%

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

0.14Best match rating · 13–10 · office, 1 Nov →
50%Best headshot accuracy · 1–10 · cache, 23 Oct →
391msFastest reaction time · 1–6 · inferno, 10 Nov →
13–0Biggest win · ancient, 30 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
7–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 86% over 7ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2314–961%-0.01
mirageC146–843%-0.01
anubisA138–562%-0.00
cacheB137–654%-0.02
ancientC125–742%0.01
infernoS76–186%0.02
nukeA74–357%0.01
vertigoA53–260%0.01
train—43–175%0.02
office—21–150%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.6%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.8%Spray accuracy
77.9%Counter-strafing
9.9°Preaim
561msReaction time
43.3%T opening success
41.5%CT opening success
0.52Enemies flashed / flash
7.6%Flash assists
11.95HE damage / grenade
9.25Flashes / match

Recommended for you

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–30.0635%12 Nov →
dust213–11-0.0531%10 Nov →
inferno1–6-0.0327%10 Nov →
cache13–5-0.0726%9 Nov →
mirage13–10-0.0126%3 Nov →
anubis10–13-0.0713%3 Nov →
dust213–9-0.078%3 Nov →
mirage13–60.0516%2 Nov →
dust25–130.0020%2 Nov →
anubis8–13-0.0213%1 Nov →
office13–100.1431%1 Nov →
office11–13-0.0128%28 Oct →
cache1–10-0.1150%23 Oct →
cache13–100.0040%21 Oct →
mirage13–90.0213%20 Oct →
cache5–13-0.0412%20 Oct →
cache11–130.0216%20 Oct →
anubis13–10-0.0521%15 Oct →
nuke3–11-0.0710%9 Oct →
train13–9-0.0010%7 Oct →
inferno13–90.0713%6 Oct →
dust213–11-0.0114%5 Oct →
dust213–90.0014%1 Oct →
nuke8–130.0318%30 Sept →
ancient13–00.0721%30 Sept →
ancient5–130.0315%29 Sept →
nuke13–50.0825%29 Sept →
inferno16–130.0019%27 Sept →
cache8–13-0.0313%26 Sept →
dust213–5-0.0413%23 Sept →
vertigo11–130.0318%23 Sept →
vertigo13–80.0416%23 Sept →
anubis13–6-0.0027%17 Sept →
mirage13–50.0533%10 Sept →
dust29–13-0.0845%10 Sept →
ancient5–13-0.0015%28 Aug →
cache9–130.0013%28 Aug →
mirage7–13-0.0429%26 Aug →
cache10–13-0.0419%26 Aug →
cache13–3-0.0421%26 Aug →
mirage11–13-0.0032%17 Aug →
train3–13-0.0621%12 Aug →
dust213–2-0.0113%10 Aug →
anubis13–100.0122%9 Aug →
dust22–130.0022%8 Aug →
anubis3–13-0.0719%6 Aug →
ancient13–100.0739%3 Aug →
dust210–13-0.0615%1 Aug →
mirage3–13-0.1020%31 Jul →
ancient15–15-0.0517%30 Jul →
mirage6–13-0.0130%29 Jul →
dust213–11-0.0219%28 Jul →
mirage13–70.0018%27 Jul →
cache13–40.0320%27 Jul →
mirage2–13-0.1219%26 Jul →
mirage13–30.0115%26 Jul →
anubis7–13-0.0218%26 Jul →
cache13–40.1019%26 Jul →
ancient1–13-0.0118%24 Jul →
mirage15–15-0.0217%24 Jul →
anubis13–11-0.0527%22 Jul →
anubis13–50.0618%22 Jul →
inferno13–110.0124%15 Jul →
dust25–13-0.0435%15 Jul →
dust213–60.0618%15 Jul →
dust213–9-0.0022%4 Jul →
cache13–30.0116%3 Jul →
cache13–1-0.0524%1 Jul →
nuke13–10-0.0219%30 Jun →
ancient13–8-0.0117%30 Jun →
ancient16–12-0.0224%29 Jun →
inferno13–80.0326%29 Jun →
dust213–60.1137%29 Jun →
mirage6–13-0.0114%27 Jun →
dust213–5-0.0324%26 Jun →
mirage11–130.0019%26 Jun →
train13–90.0930%17 Jun →
train8–10.0418%17 Jun →
nuke13–110.0515%13 Jun →
ancient10–13-0.0518%13 Jun →
inferno13–90.0321%12 Jun →
ancient10–130.0524%12 Jun →
inferno13–100.0426%12 Jun →
nuke14–16-0.0125%10 Jun →
dust215–150.0221%9 Jun →
dust211–13-0.0129%9 Jun →
ancient16–130.0215%9 Jun →
dust210–130.0118%8 Jun →
vertigo13–3-0.0239%7 Jun →
vertigo9–13-0.0915%7 Jun →
vertigo13–100.0813%3 Jun →
dust211–130.0415%2 Jun →
anubis13–100.1119%31 May →
anubis4–130.0216%31 May →
anubis13–6-0.0124%30 May →
dust216–130.1122%22 May →
nuke13–110.0122%21 May →
dust213–4-0.0521%20 May →
dust213–9-0.0221%19 May →
ancient15–15-0.0223%19 May →

Match data via Leetify.

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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