kjuling

kjuling — CS2 Stats

SE76561198165559648[U:1:205293920]Steam profile ↗✓ No bans

581Tracked matches53%Win rate2020Tracked since
5,636Hours in CS28Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating19,029Top 50% of 204,412 CSDB-tracked playersPurple band · top ~12.4% of ranked players (population est.)
CSDB Leaderboard#95138 of 251476 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 19,029 -426 8 Aug – 13 Oct · 8 days played
18,24119,455peak 19,4558 Aug13 Oct
19,455Peak Premier in tracked matches
47Days played since 2026-01-21

Premier CS Rating

  • 426 below peak (19,455)
  • +498 over 30 days · improving
  • Next: Pink band at 20,000 — 971 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,591), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate42.9%48.2%50.9%8.1% short
Shot accuracy15.9%13.3%13.7%above
Kill/death ratio1.361.071.09above
Match win rate43.2%46.9%48.4%5.2% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkjulingFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,029 · 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

Aim82
Positioning69
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLWLLLWWLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · +74ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 541ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 599ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 562ms

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 (+1.9 against its own average).

Aim8.2
Utility5.5
Positioning6.9
Opening Duels4.1
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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 →

CSDB Rating breakdown

Aim8.2
Positioning6.9
Utility5.5
Mechanics5.9
Opening Duels5.6
Win Impact6.1

Composite 6.7/10 (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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time546ms−58ms
first ⅓ avg 603ms → last ⅓ avg 546ms
Headshot accuracy22.8%+3.0%
first ⅓ avg 19.9% → last ⅓ avg 22.8%

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 · 13–5 · cache, 22 Aug →
36%Best headshot accuracy · 13–7 · dust2, 5 Aug →
328msFastest reaction time · 10–13 · mirage, 24 Aug →
13–3Biggest win · cache, 29 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 78% over 9anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC3515–2043%0.02
dust2A1810–856%0.00
infernoA127–558%0.02
anubisC104–640%0.02
cacheS97–278%0.05
ancientC52–340%0.02
overpass—31–233%-0.03
nuke—33–0100%0.03
vertigo—32–167%0.03
cache_b—21–150%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,744Lifetime kills
1.36K/D · Top 10% of Level 9 players
5,435Matches
43.2%Match win rate
42.9%Headshot %
15.9%Shot accuracy · Top 50% of Level 9 players
21,218MVPs
2,173Hours (in match)
5,920Bombs planted
1,203Bombs defused

Most-used weapons

AK-4758,191
AWP26,543
P2503,085
Tec-92,254
FAMAS2,212
MP71,311

Lifetime map wins

7,712inferno
5,532dust2
1,564nuke
1,039cbble
730vertigo
467train
235lake
54safehouse

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

Faceit stats

Combat

160Matches
57%Win rate
1.09Avg K/D
76.8ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2462%1.1416.4
Cache1681%1.3518.7
Anubis1560%1.0114.3
Dust21136%0.8715.1
Ancient838%0.9614.6
Vertigo757%1.0316.4
Inferno650%1.1819.0
Nuke425%1.1215.8

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.

22.6%Headshot accuracy
35.2%Accuracy (enemy spotted)
37.7%Spray accuracy
76.7%Counter-strafing
7.8°Preaim
547msReaction time
49.1%T opening success
55.6%CT opening success
0.65Enemies flashed / flash
7.0%Flash assists
6.62HE damage / grenade
9.55Flashes / match

Recommended for you

Spend your practice time on Anubis

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 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0425%13 Oct →
anubis13–40.0219%13 Oct →
mirage11–130.0224%11 Oct →
ancient7–13-0.0326%11 Oct →
ancient7–13-0.0121%10 Oct →
mirage13–40.0329%10 Oct →
dust213–90.0326%10 Oct →
inferno14–16-0.0122%10 Oct →
overpass13–100.0121%10 Oct →
nuke10–40.0932%7 Oct →
mirage8–13-0.0417%7 Oct →
anubis13–7-0.0226%7 Oct →
nuke13–60.0223%5 Oct →
cache13–60.0330%27 Sept →
mirage11–13-0.0224%27 Sept →
dust213–11-0.0420%26 Sept →
inferno13–10-0.0235%24 Sept →
dust26–130.0527%24 Sept →
mirage7–130.0326%22 Sept →
cache16–130.1019%22 Sept →
cache9–13-0.0216%20 Sept →
dust213–50.1214%20 Sept →
mirage6–130.0218%11 Sept →
cache16–130.0617%10 Sept →
mirage10–13-0.0022%10 Sept →
dust216–120.0522%10 Sept →
mirage4–130.0126%10 Sept →
anubis9–130.1222%10 Sept →
anubis13–50.0113%10 Sept →
ancient13–60.0424%9 Sept →
inferno13–80.0918%9 Sept →
mirage13–40.1335%8 Sept →
nuke13–10-0.0214%8 Sept →
mirage9–130.0418%8 Sept →
vertigo7–13-0.0315%5 Sept →
vertigo16–130.0624%1 Sept →
overpass9–13-0.1023%30 Aug →
mirage6–13-0.0224%30 Aug →
dust211–30.1222%30 Aug →
mirage13–110.1431%29 Aug →
inferno13–11-0.0417%29 Aug →
mirage13–9-0.0518%26 Aug →
anubis13–100.0623%26 Aug →
mirage11–13-0.0821%26 Aug →
dust25–13-0.0714%25 Aug →
dust211–13-0.0216%24 Aug →
anubis7–13-0.029%24 Aug →
mirage10–130.0222%24 Aug →
cache13–50.1424%22 Aug →
ancient7–13-0.039%19 Aug →
inferno19–170.0715%17 Aug →
dust28–13-0.0518%16 Aug →
mirage13–110.0314%15 Aug →
mirage5–11-0.0713%13 Aug →
mirage4–13-0.0029%12 Aug →
inferno8–13-0.0222%12 Aug →
anubis10–130.0532%8 Aug →
inferno13–90.038%8 Aug →
mirage16–130.0118%6 Aug →
dust213–11-0.0026%6 Aug →
mirage11–130.0925%6 Aug →
inferno8–130.0219%6 Aug →
dust213–70.0036%5 Aug →
mirage13–60.0119%5 Aug →
cache13–10-0.0014%5 Aug →
mirage13–70.0626%5 Aug →
dust23–130.0013%26 Jul →
mirage12–160.0120%26 Jul →
mirage14–16-0.0217%20 Jul →
dust213–5-0.059%19 Jul →
dust213–5-0.0022%18 Jul →
dust29–13-0.0816%9 Jul →
inferno9–70.0114%8 Jul →
cache8–130.0612%29 Apr →
cache13–30.1316%29 Apr →
cache13–4-0.0121%29 Apr →
mirage13–100.0134%26 Apr →
mirage13–40.0231%2 Mar →
anubis10–130.0010%2 Mar →
mirage6–13-0.0016%2 Mar →
mirage13–30.1421%2 Mar →
mirage13–60.1420%2 Mar →
anubis12–16-0.0315%1 Mar →
overpass8–13-0.0119%24 Feb →
inferno7–13-0.0315%24 Feb →
mirage13–110.0124%24 Feb →
cache_b8–13-0.0227%24 Feb →
dust20–13-0.0735%24 Feb →
mirage3–130.0126%23 Feb →
dust211–130.0517%23 Feb →
vertigo13–110.0518%23 Feb →
inferno16–130.0327%23 Feb →
inferno11–130.1425%23 Feb →
mirage13–80.0615%23 Feb →
ancient13–50.1214%17 Feb →
anubis2–40.0617%17 Feb →
dust213–100.0422%17 Feb →
mirage13–7-0.0013%16 Feb →
mirage11–130.0427%6 Feb →
cache_b13–90.0920%21 Jan →

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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