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julle287 — CS2 Stats

76561198377659503[U:1:417393775]

5,858Tracked matches63%Win rate2020Tracked since
13,400Hours in CS
CSDB Rating6.3 SolidAggressive Rifler
Premier CS Rating16,333Purple band · top ~23.1% of ranked players (population est.)
CSDB Leaderboard#13190 of 22189 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate65.6%44.1%47.2%above
Shot accuracy19.2%11.4%12.7%above
Kill/death ratio1.271.031.09above
Match win rate50.9%45.2%46.6%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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CSDB.GGjulle287PREMIER16,333 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning58
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLLLWWWLWWW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.2
Aggression7.5
Utility2.0
Positioning5.8
Opening Duels3.6
Clutch3.0

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.2
Positioning5.8
Utility2.0
Mechanics7.3
Opening Duels3.6
Win Impact9.4

Composite 6.3/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time592ms+82ms
first ⅓ avg 510ms → last ⅓ avg 592ms
Headshot accuracy28.8%+2.3%
first ⅓ avg 26.5% → last ⅓ avg 28.8%

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.

Highlights

0.11Best rating — mirage 13–2
13–1Biggest win — vertigo
6Longest win streak
L3Current streak
10–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

vertigoBest map · 67% over 6nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA4022–1855%0.01
anubisB199–1047%0.01
ancientB137–654%-0.02
nukeC114–736%-0.00
overpassC73–443%-0.01
vertigoS64–267%0.03
dust2—31–233%-0.03
train—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

481,007Lifetime kills
1.27K/D · Top 25% of Purple band
12,221Matches
50.9%Match win rate · Top 25% of Purple band
65.6%Headshot % · Top 5% of Purple band
19.2%Shot accuracy · Top 5% of Purple band
59,930MVPs
13,400Hours (in match)
10,023Bombs planted
12,323Bombs defused

Most-used weapons

AK-47201,848
M4A4 / M4A1-S68,095
Desert Eagle65,609
AWP42,441
P2000 / USP-S36,790
Glock-1813,265
Knife6,403
MP95,849
Galil AR5,034
AUG3,954

Lifetime map wins

41,863inferno
16,273vertigo
7,494dust2
6,790nuke
5,399train
1,472cbble
246lake
47safehouse

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

Faceit stats

Combat

4,115Matches
53%Win rate
1.17Avg K/D
86.3ADR
57%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage51055%1.1717.7
Anubis30055%1.1717.4
Ancient19354%1.1317.1
Vertigo11662%1.2518.1
Nuke10144%1.0917.1
Dust24933%1.0618.3
Inferno4646%1.0616.0
Overpass4052%1.0115.3

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.

27.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.2%Spray accuracy
82.7%Counter-strafing
9.4°Preaim
572msReaction time
37.9%T opening success
50.5%CT opening success
0.70Enemies flashed / flash
9.2%Flash assists
10.66HE damage / grenade
7.46Flashes / 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 37.9306% — below the 40% mark we flag

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0226%31 Jul →
dust25–13-0.0615%21 Sept →
nuke6–13-0.0430%21 Sept →
mirage13–100.0531%21 Sept →
mirage13–50.0320%21 Sept →
mirage13–9-0.0113%20 Sept →
overpass5–130.0247%18 Sept →
mirage13–90.0120%18 Sept →
mirage13–11-0.0238%18 Sept →
ancient22–200.0124%12 Sept →
nuke13–10-0.0313%3 Sept →
train13–30.0262%29 Aug →
dust213–90.0034%26 May →
mirage7–13-0.0524%12 May →
mirage9–13-0.0825%28 Apr →
mirage13–110.0728%24 Apr →
mirage8–130.0735%5 Apr →
vertigo13–2-0.0121%15 Dec →
ancient13–3-0.0425%8 Nov →
anubis13–70.0817%8 Sept →
mirage13–16-0.0231%6 Sept →
nuke13–110.0232%1 Sept →
ancient13–7-0.0131%29 Aug →
mirage13–70.0727%27 Aug →
anubis4–130.0429%11 Jul →
mirage13–6-0.0230%11 Jul →
anubis7–13-0.0232%18 Jun →
anubis22–19-0.0120%10 Jun →
mirage13–11-0.0333%25 May →
dust27–13-0.0429%17 May →
nuke1–13-0.0748%17 May →
ancient14–160.0631%17 May →
mirage13–110.0428%16 May →
vertigo10–130.0427%7 May →
anubis6–130.0236%26 Apr →
mirage8–130.0230%26 Apr →
overpass9–130.0028%25 Apr →
anubis13–40.0829%25 Apr →
mirage5–13-0.0539%23 Apr →
nuke15–190.0229%20 Apr →
anubis13–60.0840%13 Apr →
mirage13–20.1120%13 Apr →
mirage9–13-0.0124%13 Apr →
mirage13–80.1128%11 Apr →
anubis6–13-0.0522%9 Apr →
ancient9–12-0.0918%9 Apr →
anubis11–130.0125%9 Apr →
nuke13–60.0425%9 Apr →
mirage13–90.0727%9 Apr →
anubis7–13-0.0224%7 Apr →
nuke13–40.0823%7 Apr →
ancient10–130.0029%7 Apr →
overpass13–9-0.0320%6 Apr →
nuke10–130.0238%6 Apr →
nuke11–130.0223%6 Apr →
mirage13–70.0418%6 Apr →
nuke11–13-0.0525%5 Apr →
mirage13–7-0.0637%5 Apr →
mirage13–11-0.0022%5 Apr →
ancient6–13-0.0524%5 Apr →
anubis13–60.0638%5 Apr →
mirage13–110.0424%3 Apr →
overpass11–13-0.0125%3 Apr →
mirage11–13-0.0225%3 Apr →
overpass13–70.0336%3 Apr →
mirage17–19-0.0124%2 Apr →
anubis8–13-0.0245%2 Apr →
anubis16–13-0.0413%2 Apr →
overpass22–19-0.0224%2 Apr →
mirage13–30.0933%2 Apr →
mirage9–130.0433%1 Apr →
vertigo9–130.0320%10 Mar →
ancient13–7-0.0525%10 Mar →
ancient13–8-0.0236%9 Mar →
anubis6–13-0.0615%9 Mar →
ancient2–13-0.0917%9 Mar →
vertigo13–70.0725%9 Mar →
mirage13–100.0219%8 Mar →
anubis16–190.0233%8 Mar →
mirage13–50.0130%7 Mar →
mirage16–130.0629%5 Mar →
mirage4–13-0.0035%5 Mar →
ancient16–19-0.0426%5 Mar →
mirage10–130.0828%5 Mar →
anubis13–100.0222%5 Mar →
anubis10–130.0329%4 Mar →
anubis19–160.0324%4 Mar →
mirage4–13-0.0640%4 Mar →
mirage6–130.0930%3 Mar →
mirage13–100.0123%3 Mar →
mirage11–13-0.0329%3 Mar →
vertigo13–70.0025%3 Mar →
ancient13–100.0535%3 Mar →
anubis19–170.0229%3 Mar →
mirage7–13-0.0013%2 Mar →
vertigo13–10.0528%2 Mar →
ancient16–140.0129%2 Mar →
mirage4–13-0.0622%2 Mar →
nuke7–13-0.0632%1 Mar →
overpass11–13-0.0523%1 Mar →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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