Kim Jong Fun

Kim Jong Fun — CS2 Stats

76561197983089786[U:1:22824058]Steam profile ↗✓ No bans

343Tracked matches64%Win rate2023Tracked since
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating17,268Purple band · top ~19.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (8 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: 17,268 +7,527 5 Sept – 20 Sept · 19 days played
9,74117,268peak 17,2685 Sept20 Sept
17,707Peak Premier in tracked matches
60Days played since 2025-08-23

Premier CS Rating

  • At peak — 17,268
  • +4,742 over 90 days
  • Next: Pink band at 20,000 — 2,732 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.

Share this profile

CSDB.GGKim Jong FunPREMIER17,268 · Purple bandcsdb.gg/stats

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Performance scores

Aim51
Positioning64
Utility58

0–100 skill scores via Leetify.

Recent form

HOT50–46–4Last 10050%Win rateLWWWWWLWWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −65ms reaction

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

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 545ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 600ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 632ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.1
Utility5.8
Positioning6.4
Opening Duels6.0

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

m0NESY

Plays most like m0NESY 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 643ms 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

Aim5.1
Positioning6.4
Utility5.8
Mechanics5.5
Opening Duels6.2
Win Impact9.8

Composite 6.1/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time652ms−24ms
first ⅓ avg 676ms → last ⅓ avg 652ms
Headshot accuracy14.9%+0.7%
first ⅓ avg 14.2% → last ⅓ avg 14.9%

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

0.20Best match rating · 9–6 · sanctum, 9 Apr →
50%Best headshot accuracy · 1–8 · grail, 31 Aug →
438msFastest reaction time · 13–8 · inferno, 20 Sept →
13–2Biggest win · overpass, 16 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientB209–1145%0.00
nukeA2012–860%0.03
cacheA1710–759%0.03
infernoS107–370%0.02
dust2C83–538%-0.02
overpassS54–180%0.04
mirage—41–325%-0.00
anubis—30–30%-0.01
poseidon—31–233%0.02
train—31–233%0.06
grail—20–20%0.00
shelter—11–0100%-0.08
boulder—10–10%-0.02
vertigo—10–10%-0.26
sanctum—11–0100%0.20
warden—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 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.

14.6%Headshot accuracy
38.1%Accuracy (enemy spotted)
38.1%Spray accuracy
74.8%Counter-strafing
13.4°Preaim
643msReaction time
47.7%T opening success
61.5%CT opening success
0.58Enemies flashed / flash
8.4%Flash assists
7.59HE damage / grenade
10.59Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4438° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.5655% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0116%20 Sept →
ancient16–12-0.0013%20 Sept →
inferno13–80.0513%20 Sept →
cache13–60.059%21 Aug →
ancient13–90.0319%21 Aug →
nuke13–70.069%21 Aug →
ancient8–13-0.0318%16 Aug →
inferno13–50.0110%14 Aug →
dust213–11-0.0117%12 Aug →
mirage9–130.0110%12 Aug →
anubis4–13-0.0216%9 Aug →
cache5–13-0.0328%4 Aug →
shelter13–5-0.0816%4 Aug →
inferno11–130.0321%21 Jul →
boulder12–12-0.0214%15 Jul →
cache4–130.0717%13 Jul →
nuke13–90.0410%13 Jul →
cache16–140.0613%10 Jul →
nuke13–40.1519%10 Jul →
inferno9–130.0214%4 Jul →
nuke13–11-0.056%4 Jul →
nuke16–120.0111%2 Jul →
dust211–13-0.0216%2 Jul →
cache6–130.0118%19 Jun →
poseidon3–9-0.0521%19 Jun →
cache13–100.0112%23 May →
cache12–12-0.0014%23 May →
cache13–80.0819%19 May →
ancient13–5-0.0114%19 May →
cache13–8-0.0218%19 May →
cache13–30.0312%14 May →
cache13–100.0917%13 May →
vertigo0–9-0.2610%8 May →
poseidon3–9-0.0827%8 May →
cache10–130.029%6 May →
cache13–90.1822%2 May →
cache13–60.0723%2 May →
cache6–13-0.0119%1 May →
cache10–13-0.049%30 Apr →
cache13–100.0319%29 Apr →
poseidon9–20.179%9 Apr →
sanctum9–60.2018%9 Apr →
inferno13–100.0330%6 Apr →
nuke11–130.0811%6 Apr →
ancient16–140.079%31 Mar →
overpass6–13-0.0130%30 Mar →
nuke13–90.018%29 Mar →
anubis11–13-0.0021%28 Mar →
inferno13–30.045%27 Mar →
warden4–130.0311%26 Mar →
ancient15–150.0410%26 Mar →
nuke11–130.0410%17 Mar →
ancient10–130.0313%17 Mar →
inferno13–70.035%16 Mar →
dust24–13-0.084%12 Mar →
ancient10–130.0713%12 Mar →
nuke7–130.0716%4 Mar →
ancient8–13-0.0715%4 Mar →
ancient13–8-0.018%25 Feb →
nuke13–11-0.0016%18 Feb →
ancient13–90.058%17 Feb →
dust29–13-0.029%17 Feb →
ancient13–90.0313%14 Feb →
inferno7–13-0.0214%14 Feb →
nuke8–130.016%14 Feb →
nuke13–70.0419%1 Feb →
anubis10–13-0.0116%1 Feb →
ancient13–10-0.0213%8 Jan →
nuke9–13-0.0016%8 Jan →
ancient5–13-0.0117%30 Dec →
train13–30.1615%30 Dec →
ancient10–13-0.038%30 Dec →
nuke9–1-0.058%28 Dec →
nuke13–100.0314%28 Dec →
ancient13–50.0117%28 Dec →
train10–13-0.0212%21 Dec →
dust213–70.0013%16 Dec →
nuke10–130.047%16 Dec →
overpass13–20.0716%16 Dec →
nuke11–130.0013%11 Dec →
ancient9–13-0.0512%11 Dec →
mirage10–13-0.0315%8 Dec →
dust213–10-0.0313%5 Dec →
overpass13–30.1217%11 Nov →
dust29–13-0.038%7 Nov →
overpass11–30.0110%7 Nov →
overpass16–130.0014%3 Nov →
mirage13–60.0516%3 Nov →
mirage6–13-0.0612%9 Oct →
inferno13–110.0111%29 Sept →
inferno13–6-0.0410%5 Sept →
nuke11–130.0212%1 Sept →
nuke13–100.018%31 Aug →
ancient15–15-0.0413%31 Aug →
grail1–8-0.0950%31 Aug →
grail2–40.0912%31 Aug →
ancient9–13-0.0123%29 Aug →
nuke13–50.0310%28 Aug →
train11–130.0515%28 Aug →
ancient7–13-0.0221%23 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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