Joyan

Joyan — CS2 Stats

MV76561199015617664[U:1:1055351936]Steam profile ↗✓ No bans

753Tracked matches57%Win rate2020Tracked since
1,349Hours in CS51Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 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: 15,000 +1,492 12 Sept – 7 Nov · 12 days played
13,50815,934peak 15,93412 Sept7 Nov
15,934Peak Premier in tracked matches
31Days played since 2026-09-12

Premier CS Rating

  • 934 below peak (15,934)
  • -934 over 30 days · declining
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-28
  • Blue band first seen 2026-09-12

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 4 among CSDB-tracked players (n=14,911), 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 4 medianLevel 5 medianvs Level 5
Headshot rate52.0%42.7%43.8%above
Shot accuracy3.8%11.2%12.0%8.2% short
Kill/death ratio0.730.991.020.29 short
Match win rate32.3%43.9%44.7%12.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJoyanFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,000 · 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

Aim75
Positioning49
Utility53

0–100 skill scores via Leetify.

Recent form

COLD54–39–7Last 10054%Win rateWLTLTWLLLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +4.4pp headshot accuracy · +1ms reaction

Win rate down 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

  • 1–2–2 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 600ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 578ms

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 (+1.7 against its own average).

Aim7.5
Utility5.3
Positioning4.9
Opening Duels2.5
Clutch1.6

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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. 572ms 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
Positioning4.9
Utility5.3
Mechanics6.4
Opening Duels4.2
Win Impact7.4

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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time573ms−2ms
first ⅓ avg 575ms → last ⅓ avg 573ms
Headshot accuracy18.3%+2.1%
first ⅓ avg 16.2% → last ⅓ avg 18.3%

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

0.12Best match rating · 13–5 · dust2, 5 Oct →
39%Best headshot accuracy · 13–7 · dust2, 20 Oct →
406msFastest reaction time · 8–13 · inferno, 6 Nov →
13–2Biggest win · dust2, 30 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 6cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3921–1854%0.00
mirageA2415–963%-0.00
infernoA1610–663%-0.00
cacheD62–433%-0.01
ancientS64–267%-0.03
anubis—31–233%-0.01
train—30–30%0.05
nuke—31–233%-0.06

Across the last 100 tracked matches.

Lifetime stats

37,955Lifetime kills
0.73K/D
1,946Matches
32.3%Match win rate
52.0%Headshot % · Top 25% of Level 4 players
3.8%Shot accuracy
3,731MVPs
1,318Hours (in match)
1,357Bombs planted
459Bombs defused

Most-used weapons

Lifetime map wins

3,171dust2
1,502inferno
1,003nuke
276vertigo
114train
13office
13ar_shoots
9cbble

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

Faceit stats

Combat

71Matches
52%Win rate
1.03Avg K/D
76.3ADR
48%Headshot %

Clutches & streaks

28%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust22564%0.9516.4
Mirage1856%1.1414.6
Inferno967%1.1514.4
Anubis70%1.1819.1
Ancient667%0.9813.2
Nuke425%0.7713.3
Cache20%0.5810.5

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.

18.9%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.0%Spray accuracy
78.6%Counter-strafing
10.3°Preaim
572msReaction time
44.6%T opening success
48.9%CT opening success
0.50Enemies flashed / flash
7.7%Flash assists
7.50HE damage / grenade
7.27Flashes / 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 0.4957 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–4-0.0217%12 Nov →
dust27–130.0019%12 Nov →
dust212–120.0113%11 Nov →
dust29–13-0.0326%11 Nov →
mirage12–120.0331%11 Nov →
mirage13–110.0130%11 Nov →
dust219–22-0.0416%8 Nov →
cache12–16-0.0719%8 Nov →
mirage7–13-0.0522%7 Nov →
dust213–11-0.0717%7 Nov →
dust213–7-0.0624%7 Nov →
inferno7–13-0.0413%7 Nov →
ancient13–80.0218%7 Nov →
inferno13–8-0.0819%6 Nov →
dust213–8-0.0519%6 Nov →
inferno3–13-0.0611%6 Nov →
inferno8–13-0.0623%6 Nov →
mirage13–70.0311%6 Nov →
mirage3–13-0.0311%31 Oct →
dust213–2-0.0416%30 Oct →
mirage13–90.0022%28 Oct →
dust213–20.0311%27 Oct →
inferno5–130.0323%27 Oct →
mirage13–110.0412%27 Oct →
cache10–130.0323%27 Oct →
inferno13–70.0615%26 Oct →
mirage13–70.1023%24 Oct →
dust27–13-0.0120%24 Oct →
inferno13–80.0212%24 Oct →
mirage13–60.0325%24 Oct →
inferno4–13-0.109%24 Oct →
dust213–110.0417%23 Oct →
dust214–16-0.0118%23 Oct →
mirage2–13-0.0911%23 Oct →
inferno13–8-0.0118%22 Oct →
dust211–13-0.0024%20 Oct →
dust213–70.0339%20 Oct →
dust225–280.0618%20 Oct →
inferno11–130.0318%19 Oct →
mirage10–13-0.0627%18 Oct →
dust210–13-0.0522%18 Oct →
dust28–13-0.089%17 Oct →
ancient13–7-0.087%15 Oct →
mirage12–12-0.0223%15 Oct →
dust211–130.0330%15 Oct →
anubis16–190.0413%14 Oct →
mirage13–100.0118%14 Oct →
mirage13–30.0021%14 Oct →
dust29–130.0323%14 Oct →
mirage13–10-0.0113%13 Oct →
inferno13–50.0238%13 Oct →
mirage10–13-0.0410%13 Oct →
train12–12-0.0333%12 Oct →
inferno8–20.1128%12 Oct →
anubis13–80.0114%12 Oct →
inferno13–80.0620%12 Oct →
dust213–110.0516%12 Oct →
cache3–13-0.0316%12 Oct →
dust28–13-0.0315%12 Oct →
mirage13–100.0523%11 Oct →
mirage13–100.0117%11 Oct →
dust213–70.0215%11 Oct →
nuke13–5-0.0210%11 Oct →
dust28–130.0116%11 Oct →
train12–120.0524%11 Oct →
dust213–70.0716%11 Oct →
inferno13–11-0.0517%10 Oct →
dust213–80.0618%10 Oct →
dust213–8-0.078%10 Oct →
ancient13–4-0.0217%9 Oct →
ancient13–20.0517%9 Oct →
cache10–13-0.0110%9 Oct →
dust213–40.0620%9 Oct →
mirage13–70.0311%7 Oct →
inferno13–50.0628%7 Oct →
dust213–30.0722%7 Oct →
ancient4–13-0.098%7 Oct →
mirage13–30.089%6 Oct →
dust213–5-0.0014%6 Oct →
dust213–9-0.0214%6 Oct →
dust213–70.0713%5 Oct →
anubis6–13-0.0711%5 Oct →
dust213–100.0018%5 Oct →
dust213–50.1218%5 Oct →
dust213–7-0.0810%5 Oct →
ancient5–13-0.0613%4 Oct →
dust210–13-0.0218%4 Oct →
dust28–130.0315%4 Oct →
dust210–13-0.0133%3 Oct →
mirage13–6-0.0313%3 Oct →
cache13–100.0421%3 Oct →
nuke4–13-0.0718%3 Oct →
train7–130.1237%3 Oct →
nuke4–13-0.089%3 Oct →
mirage12–120.0616%3 Oct →
mirage13–11-0.0714%3 Oct →
dust27–13-0.0322%1 Oct →
mirage12–12-0.098%29 Sept →
cache13–10-0.0613%29 Sept →
dust213–40.0122%29 Sept →

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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