Julmustfaija

Julmustfaija — CS2 Stats

IS76561198179930599[U:1:219664871]Steam profile ↗✓ No bans

482Tracked matches62%Win rate2022Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating17,610Purple band · top ~18% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (2 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: 17,610 +4,498 4 Oct – 11 Oct · 7 days played
12,62817,610peak 17,6104 Oct11 Oct
17,670Peak Premier in tracked matches
26Days played since 2024-10-04

Premier CS Rating

  • At peak — 17,610
  • Next: Pink band at 20,000 — 2,390 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.GGJulmustfaijaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER17,610 · Purple bandcsdb.gg/stats

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Performance scores

Aim45
Positioning47
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateTLWWLWWWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.4pp headshot accuracy · −65ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 596ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 564ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 597ms

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 (+2.3 against its own average).

Aim4.5
Utility4.5
Positioning4.7
Opening Duels0.5
Clutch0.0

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

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 648ms 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

Aim4.5
Positioning4.7
Utility4.5
Mechanics5.6
Opening Duels0.6
Win Impact9.0

Composite 4.8/10 (Developing), 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-0.02+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time649ms−52ms
first ⅓ avg 700ms → last ⅓ avg 649ms
Headshot accuracy13.5%−0.5%
first ⅓ avg 14.1% → last ⅓ avg 13.5%

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

0.10Best match rating · 13–5 · mirage, 28 Feb →
34%Best headshot accuracy · 3–13 · dust2, 9 Nov →
422msFastest reaction time · 13–2 · inferno, 18 Sept →
13–2Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 73% over 11trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA169–756%-0.04
nukeD155–1033%-0.04
ancientA148–657%-0.03
dust2B136–746%-0.04
italyA138–562%-0.02
anubisS118–373%-0.04
trainD61–517%-0.04
cache—43–175%-0.02
basalt—22–0100%0.03
mirage—22–0100%0.02
memento—20–20%-0.19
thera—11–0100%-0.04
vertigo—11–0100%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

91Matches
44%Win rate
0.63Avg K/D
66.5ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient2157%0.639.3
Anubis1937%0.6710.1
Nuke1638%0.6611.1
Vertigo1638%0.538.4
Inferno1346%0.7010.4
Mirage333%0.438.3
Dust2250%0.7010.0
Overpass1100%0.569.0

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.

13.4%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.0%Spray accuracy
75.1%Counter-strafing
11.4°Preaim
648msReaction time
26.3%T opening success
34.7%CT opening success
0.50Enemies flashed / flash
5.7%Flash assists
7.17HE damage / grenade
7.26Flashes / 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. 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 13.3616% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4968 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 26.3209% — below the 40% mark we flag

Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache15–15-0.0515%11 Oct →
ancient9–130.018%11 Oct →
inferno13–8-0.0212%11 Oct →
cache13–70.0111%11 Oct →
dust24–13-0.0812%11 Oct →
nuke13–5-0.0210%11 Oct →
inferno13–10-0.0216%27 Sept →
dust213–20.0328%27 Sept →
anubis8–13-0.0321%27 Sept →
dust210–130.0213%27 Sept →
dust28–13-0.0513%18 Sept →
cache13–3-0.076%18 Sept →
inferno13–2-0.0217%18 Sept →
anubis13–5-0.0813%18 Sept →
ancient16–14-0.049%18 Sept →
nuke12–16-0.066%18 Sept →
ancient13–90.0415%1 Sept →
nuke5–13-0.068%1 Sept →
nuke2–13-0.0621%26 Aug →
cache13–80.0214%26 Aug →
dust28–130.0125%26 Aug →
basalt13–90.016%28 Feb →
mirage13–50.1020%28 Feb →
italy13–9-0.0216%28 Feb →
ancient13–20.0110%19 Nov →
italy13–7-0.0518%19 Nov →
train6–13-0.0714%19 Nov →
anubis13–6-0.049%19 Nov →
nuke9–13-0.0410%19 Nov →
dust213–7-0.0613%19 Nov →
train13–9-0.0410%19 Nov →
ancient13–6-0.0112%16 Nov →
train11–13-0.0016%16 Nov →
basalt13–90.0611%15 Nov →
train12–12-0.049%15 Nov →
train5–13-0.056%15 Nov →
train11–13-0.0715%15 Nov →
inferno11–13-0.0211%9 Nov →
anubis13–50.0110%9 Nov →
nuke13–11-0.040%9 Nov →
ancient4–13-0.1013%9 Nov →
dust23–13-0.0334%9 Nov →
inferno13–110.055%6 Nov →
ancient13–30.0115%6 Nov →
italy13–80.0127%6 Nov →
dust213–5-0.048%6 Nov →
ancient12–12-0.079%27 Oct →
italy10–13-0.0616%27 Oct →
inferno13–9-0.039%27 Oct →
anubis13–8-0.116%27 Oct →
dust213–11-0.0715%27 Oct →
italy10–13-0.0514%24 Oct →
nuke7–13-0.114%24 Oct →
mirage13–11-0.0525%23 Oct →
anubis13–11-0.0519%23 Oct →
italy13–9-0.0213%23 Oct →
anubis13–11-0.0912%22 Oct →
italy13–8-0.043%22 Oct →
ancient13–11-0.0613%22 Oct →
ancient13–80.0211%21 Oct →
inferno13–11-0.0413%21 Oct →
ancient6–13-0.1321%18 Oct →
italy9–13-0.0214%18 Oct →
italy10–13-0.0223%15 Oct →
nuke8–13-0.0717%15 Oct →
italy13–6-0.0210%15 Oct →
nuke9–13-0.0613%12 Oct →
thera13–6-0.049%12 Oct →
nuke13–70.0221%12 Oct →
anubis13–40.0411%12 Oct →
ancient10–13-0.0319%12 Oct →
dust213–7-0.0522%12 Oct →
inferno13–3-0.0829%12 Oct →
nuke13–4-0.0122%12 Oct →
anubis12–16-0.0712%12 Oct →
inferno7–13-0.0316%12 Oct →
nuke8–13-0.028%11 Oct →
dust210–13-0.0413%11 Oct →
nuke7–13-0.0714%11 Oct →
italy13–30.019%10 Oct →
inferno13–7-0.047%10 Oct →
ancient13–5-0.0016%10 Oct →
inferno5–13-0.068%9 Oct →
nuke8–13-0.0319%9 Oct →
vertigo13–3-0.0620%9 Oct →
italy13–40.0710%8 Oct →
dust210–4-0.0718%8 Oct →
inferno7–9-0.0511%6 Oct →
anubis13–6-0.0113%5 Oct →
inferno12–12-0.0320%5 Oct →
nuke13–100.007%5 Oct →
italy7–13-0.0914%5 Oct →
ancient8–13-0.0313%5 Oct →
anubis7–13-0.0315%5 Oct →
inferno13–16-0.0813%4 Oct →
dust26–13-0.0614%4 Oct →
memento4–9-0.195%4 Oct →
inferno9–40.0116%4 Oct →
inferno2–9-0.248%4 Oct →
memento5–9-0.1915%4 Oct →

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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