jk • @jkskinstore

jk • @jkskinstore — CS2 Stats

BR76561198246139604[U:1:285873876]Steam profile ↗✓ No bans

1,706Tracked matches54%Win rate2022Tracked since
10,672Hours in CS25Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating26,255Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#11598 of 259088 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (9 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: 26,255 +5,324 27 Jun – 22 Oct · 15 days played
20,93126,558peak 26,55827 Jun22 Oct
26,713Peak Premier in tracked matches
43Days played since 2026-06-27

Premier CS Rating

  • 303 below peak (26,558)
  • +3 over 30 days · steady
  • Next: Gold band at 30,000 — 3,745 to go
  • Reached: Red band · Pink band · Purple band · 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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate31.6%49.3%50.9%19.3% short
Shot accuracy11.8%13.4%11.8%meets
Kill/death ratio1.051.121.180.13 short
Match win rate54.0%48.5%51.9%above

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGjk • @jkskinstorePREMIER26,255 · Red 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

Aim65
Positioning58
Utility55

0–100 skill scores via Leetify.

Recent form

COLD57–37–6Last 10057%Win rateWLLWLWLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · +45ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 516ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 535ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 513ms

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 (+1.2 against its own average).

Aim6.5
Utility5.5
Positioning5.8
Opening Duels2.2
Clutch4.8

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

iM

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.5
Positioning5.8
Utility5.5
Mechanics3.1
Opening Duels2.1
Win Impact6.2

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time514ms−50ms
first ⅓ avg 564ms → last ⅓ avg 514ms
Headshot accuracy19.1%−1.2%
first ⅓ avg 20.3% → last ⅓ avg 19.1%

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

0.21Best match rating · 9–5 · inferno, 10 Sept →
50%Best headshot accuracy · 8–8 · inferno, 10 Sept →
344msFastest reaction time · 16–13 · inferno, 18 Sept →
13–0Biggest win · ancient, 11 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 70% over 10cacheWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
infernoS2114–767%0.04
dust2A2011–955%0.00
mirageB179–853%0.02
cacheB126–650%-0.01
anubisS107–370%0.01
ancientA95–456%0.00
nuke—42–250%0.03
vertigo—21–150%0.08
shelter—22–0100%0.02
train—10–10%-0.04
rush_001—10–10%0.00
boulder—10–10%0.05

Across the last 100 tracked matches.

Lifetime stats

312,382Lifetime kills
1.05K/D
14,166Matches
54.0%Match win rate · Top 25% of Red band
31.6%Headshot %
11.8%Shot accuracy
18,621MVPs
3,285Hours (in match)
7,931Bombs planted
2,568Bombs defused

Most-used weapons

AWP83,138
AK-4747,643
FAMAS2,536
MP92,181
Knife2,013

Lifetime map wins

16,663dust2
6,816inferno
3,180nuke
2,179train
1,348vertigo
353office
351italy
276aztec

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

Faceit stats

Combat

193Matches
56%Win rate
1.43Avg K/D
86.0ADR
42%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust23855%1.3619.8
Inferno3165%1.5418.2
Mirage2462%1.6519.0
Nuke2255%1.3417.1
Overpass1735%1.2619.3
Cache1650%1.3014.8
Anubis1560%1.3417.4
Ancient1362%1.6818.1

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.

18.3%Headshot accuracy
32.5%Accuracy (enemy spotted)
36.1%Spray accuracy
64.0%Counter-strafing
8.8°Preaim
507msReaction time
37.5%T opening success
39.7%CT opening success
0.52Enemies flashed / flash
12.6%Flash assists
6.59HE damage / grenade
5.63Flashes / 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. 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 37.5% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–2-0.0140%23 Oct →
cache4–13-0.0812%22 Oct →
cache8–13-0.0013%22 Oct →
mirage13–4-0.0124%22 Oct →
ancient5–13-0.0414%17 Oct →
inferno13–60.0311%13 Oct →
dust29–13-0.0310%12 Oct →
inferno11–130.0033%12 Oct →
dust210–130.0623%12 Oct →
mirage3–130.1017%9 Oct →
train12–12-0.0422%9 Oct →
dust213–5-0.0818%4 Oct →
cache13–10.046%4 Oct →
inferno13–110.0132%30 Sept →
rush_0016–80.0033%29 Sept →
mirage3–13-0.0311%23 Sept →
dust28–13-0.0126%22 Sept →
anubis14–16-0.0312%20 Sept →
dust213–4-0.0111%20 Sept →
dust211–00.0523%20 Sept →
inferno12–12-0.006%19 Sept →
cache8–130.0711%19 Sept →
nuke13–40.0613%19 Sept →
inferno0–10-0.0340%19 Sept →
inferno13–110.0532%19 Sept →
inferno16–130.079%18 Sept →
anubis5–130.0117%18 Sept →
anubis13–80.0120%18 Sept →
dust213–10-0.0122%18 Sept →
anubis13–5-0.0212%17 Sept →
anubis13–80.0619%17 Sept →
anubis13–110.0419%17 Sept →
mirage14–16-0.0417%17 Sept →
mirage13–80.0414%16 Sept →
mirage13–110.0525%16 Sept →
ancient13–6-0.0018%16 Sept →
ancient13–110.0112%14 Sept →
mirage5–130.0225%12 Sept →
cache13–11-0.0316%12 Sept →
vertigo13–40.0344%12 Sept →
dust213–30.0214%11 Sept →
ancient13–0-0.0312%11 Sept →
mirage13–10.0819%11 Sept →
cache6–13-0.0511%11 Sept →
ancient9–130.0022%11 Sept →
inferno13–90.0122%11 Sept →
dust29–130.0029%11 Sept →
dust23–13-0.0213%11 Sept →
mirage13–60.0234%10 Sept →
dust212–120.0424%10 Sept →
inferno8–80.0450%10 Sept →
inferno9–20.1722%10 Sept →
inferno9–50.2124%10 Sept →
inferno13–100.0320%9 Sept →
dust213–110.0815%9 Sept →
inferno13–20.000%7 Sept →
anubis1–13-0.0230%6 Sept →
mirage10–130.0219%6 Sept →
nuke13–7-0.0424%6 Sept →
anubis16–13-0.0128%6 Sept →
inferno8–13-0.0412%6 Sept →
mirage4–13-0.077%6 Sept →
mirage13–11-0.0418%5 Sept →
cache13–20.0526%5 Sept →
cache10–13-0.0111%5 Sept →
mirage11–13-0.0614%5 Sept →
dust213–11-0.0214%5 Sept →
dust213–40.0110%5 Sept →
ancient10–13-0.0024%4 Sept →
nuke3–100.0419%4 Sept →
mirage13–70.0513%4 Sept →
dust26–13-0.0722%29 Aug →
cache13–5-0.0020%28 Aug →
dust23–13-0.0122%23 Aug →
mirage13–50.0423%23 Aug →
inferno13–70.0325%18 Aug →
inferno12–120.0723%16 Aug →
mirage10–130.0014%16 Aug →
dust213–100.0031%16 Aug →
dust216–130.0422%16 Aug →
inferno13–90.0137%16 Aug →
dust213–00.0525%16 Aug →
inferno13–60.0515%16 Aug →
anubis16–140.0226%10 Aug →
ancient10–13-0.029%26 Jul →
anubis13–30.0117%23 Jul →
mirage13–80.105%17 Jul →
inferno9–70.0413%13 Jul →
nuke9–130.0619%13 Jul →
ancient13–70.0318%11 Jul →
boulder12–120.0519%11 Jul →
inferno13–80.0713%11 Jul →
shelter13–50.0433%10 Jul →
shelter13–40.0024%9 Jul →
cache13–60.0131%8 Jul →
dust24–130.0224%4 Jul →
vertigo10–130.1220%1 Jul →
ancient13–70.0519%28 Jun →
cache3–13-0.0611%27 Jun →
inferno9–130.0025%27 Jun →

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.