Juleulven

Juleulven — CS2 Stats

76561197987707172[U:1:27441444]Steam profile ↗✓ No bans

417Tracked matches39%Win rate2020Tracked since
923Hours in CS
CSDB Rating4.6 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 417 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,474 -67 7 Jan – 1 Jan · 19 days played
9,99914,941peak 14,9417 Jan1 Jan
14,941Peak Premier in tracked matches
35Days played since 2024-01-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 23 Sep 2026 and 27 Oct 2026.

Measured 23 Sep 2026 → 27 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate48.0%43.8%44.8%above
Shot accuracy20.7%12.0%12.4%above
Kill/death ratio1.271.021.03above
Match win rate38.7%44.7%45.2%6.5% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJuleulvenFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning49
Utility38

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateWLWLLLLLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −4.9pp headshot accuracy · −92ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 618ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 664ms

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 against its own average).

Aim5.8
Utility3.8
Positioning4.9
Opening Duels4.4
Clutch2.6

Strong CT-side openerEffective flashes

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Strengths

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 56% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim5.8
Positioning4.9
Utility3.8
Mechanics5.0
Opening Duels3.7
Win Impact1.4

Composite 4.6/10 (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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time638ms−11ms
first ⅓ avg 649ms → last ⅓ avg 638ms
Headshot accuracy19.7%−2.1%
first ⅓ avg 21.8% → last ⅓ avg 19.7%

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

0.16Best match rating · 13–3 · vertigo, 7 Jan →
50%Best headshot accuracy · 8–13 · inferno, 22 Feb →
430msFastest reaction time · 5–13 · anubis, 22 Aug →
13–2Biggest win · inferno, 14 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 70% over 23anubisWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC239–1439%0.00
nukeS2316–770%0.01
vertigoC167–944%0.02
anubisC145–936%0.01
overpassB136–746%-0.02
ancientC73–443%0.02
train—30–30%-0.02
mirage—11–0100%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,203Lifetime kills
1.27K/D · Top 25% of Level 5 players
2,651Matches
38.7%Match win rate
48.0%Headshot % · Top 50% of Level 5 players
20.7%Shot accuracy · Top 5% of Level 5 players
4,990MVPs
923Hours (in match)
1,569Bombs planted
505Bombs defused

Most-used weapons

AK-4711,105
AWP8,785
AUG1,540
MAC-101,358
MP91,332

Lifetime map wins

4,051inferno
3,987nuke
3,336vertigo
1,145dust2
506train
493office
285militia
281cbble

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

Faceit stats

Combat

195Matches
49%Win rate
1.17Avg K/D
69.3ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke333%1.4415.0
Anubis20%0.8614.5
Vertigo10%0.539.0
Overpass10%0.6210.0
Train10%0.8214.0

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.

19.3%Headshot accuracy
30.2%Accuracy (enemy spotted)
34.9%Spray accuracy
72.4%Counter-strafing
8.4°Preaim
637msReaction time
34.1%T opening success
55.8%CT opening success
0.84Enemies flashed / flash
7.0%Flash assists
10.41HE damage / grenade
8.23Flashes / 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 34.1017% — below the 40% mark we flag

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–40.0012%17 Jun →
anubis5–13-0.0610%17 Jun →
nuke13–10-0.0115%17 Jun →
overpass8–13-0.0020%17 Jun →
overpass7–13-0.0412%19 Mar →
inferno10–13-0.0119%19 Mar →
anubis10–130.0415%19 Mar →
train8–130.0225%20 Sept →
ancient9–130.0622%20 Sept →
inferno13–50.0620%20 Sept →
nuke13–8-0.0224%20 Sept →
overpass13–16-0.0322%14 Sept →
inferno7–13-0.0123%14 Sept →
overpass11–13-0.0724%14 Sept →
overpass5–13-0.0315%7 Sept →
inferno13–60.0525%31 Aug →
nuke13–11-0.0129%31 Aug →
nuke6–13-0.0118%17 Aug →
ancient15–150.0123%17 Aug →
train6–13-0.0716%17 Aug →
inferno13–70.0726%10 Aug →
inferno8–130.0618%10 Aug →
overpass13–100.0317%10 Aug →
inferno13–16-0.0110%3 Jul →
anubis9–13-0.0111%3 Jul →
inferno5–13-0.0228%30 Mar →
nuke15–150.0122%30 Mar →
overpass9–60.0826%30 Mar →
inferno8–80.0818%30 Mar →
mirage13–6-0.0430%16 Mar →
anubis13–11-0.0222%16 Mar →
inferno16–14-0.039%2 Mar →
anubis16–130.0223%2 Mar →
nuke13–110.0022%9 Feb →
nuke9–130.0624%9 Feb →
train10–13-0.0211%9 Feb →
inferno9–13-0.0518%1 Jan →
nuke13–100.0113%1 Jan →
nuke2–9-0.1033%1 Jan →
nuke13–8-0.0421%24 Nov →
vertigo5–130.0213%24 Nov →
vertigo5–13-0.0020%24 Nov →
anubis13–60.0414%17 Nov →
nuke13–110.0627%17 Nov →
nuke13–110.0131%17 Nov →
ancient13–80.0013%14 Nov →
inferno13–20.0617%14 Nov →
inferno10–13-0.0328%28 Oct →
nuke8–130.0629%28 Oct →
inferno7–130.0021%28 Oct →
anubis5–13-0.0818%22 Aug →
vertigo7–13-0.0523%22 Aug →
ancient13–110.0413%15 Aug →
nuke4–9-0.1021%15 Aug →
vertigo4–90.0325%28 Jul →
overpass2–9-0.1713%28 Jul →
vertigo10–130.0010%21 Jul →
nuke7–13-0.0311%21 Jul →
ancient8–13-0.0219%21 Jul →
vertigo9–130.0128%18 Jul →
nuke13–10-0.0223%18 Jul →
nuke13–8-0.0046%18 Jul →
vertigo13–4-0.0028%7 Jul →
ancient11–130.0223%7 Jul →
ancient13–90.0526%2 Jun →
vertigo11–130.0226%20 May →
nuke13–110.0526%20 May →
nuke13–100.0728%6 May →
inferno10–13-0.0429%6 May →
inferno9–70.0525%6 May →
inferno3–13-0.0822%28 Apr →
vertigo13–100.0417%28 Apr →
inferno13–60.0123%28 Apr →
overpass16–130.0232%10 Mar →
anubis9–13-0.0223%10 Mar →
vertigo13–90.0117%10 Mar →
nuke13–50.0322%10 Mar →
vertigo8–13-0.0120%22 Feb →
anubis8–130.0711%22 Feb →
inferno8–130.0350%22 Feb →
vertigo9–60.0613%22 Feb →
anubis13–100.0025%18 Feb →
anubis16–140.0123%18 Feb →
overpass13–100.0017%18 Feb →
anubis9–13-0.0120%15 Feb →
inferno5–13-0.0511%15 Feb →
nuke13–70.0320%15 Feb →
overpass13–5-0.0614%15 Feb →
anubis15–150.0321%11 Feb →
nuke13–70.0936%11 Feb →
overpass7–130.0318%11 Feb →
inferno13–10-0.0231%11 Feb →
inferno10–13-0.0329%25 Jan →
vertigo16–130.0115%25 Jan →
nuke16–130.0219%25 Jan →
overpass13–100.0322%7 Jan →
vertigo13–30.1615%7 Jan →
vertigo11–13-0.0313%7 Jan →
vertigo13–80.0412%7 Jan →
anubis10–130.0726%7 Jan →

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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