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ARELUNE

ARELUNE — CS2 Stats

CH76561198106666912[U:1:146401184]Steam profile ↗

293Tracked matches43%Win rate2021Tracked since
1,190Hours in CS14Hrs last 2 wks
CSDB Rating1.9 Learning
Premier CS Rating2,541Grey band · top ~89.2% of ranked players (population est.)
CSDB Leaderboard#18528 of 23738 tracked
WingmanSilver III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate49.3%40.1%above
Shot accuracy15.2%7.6%above
Kill/death ratio0.860.920.06 short
Match win rate38.9%42.2%3.2% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGARELUNEPREMIER2,541 · Grey bandcsdb.gg/stats

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Performance scores

Aim19
Positioning21
Utility3

0–100 skill scores via Leetify.

Recent form

STEADY35–63–2Last 10035%Win rateWLLLLLWWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim1.9
Aggression2.3
Utility0.3
Positioning2.1
Opening Duels0.0

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

NiKo

Plays most like NiKo 56% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 875ms 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

Aim1.9
Positioning2.1
Utility0.3
Mechanics4.5
Opening Duels0.8
Win Impact2.8

Composite 1.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time870ms+43ms
first ⅓ avg 827ms → last ⅓ avg 870ms
Headshot accuracy22.1%+4.8%
first ⅓ avg 17.4% → last ⅓ avg 22.1%

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

0.09Best rating — nuke 13–5
13–1Biggest win — nuke
4Longest win streak
6–8In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 48% over 27anubisWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC3111–2035%-0.03
mirageB2713–1448%-0.05
infernoD164–1225%-0.08
anubisD142–1214%-0.07
dust2D51–420%-0.06
cache—32–167%-0.08
ancient—21–150%-0.03
eldorado—11–0100%0.08
vertigo—10–10%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

31,169Lifetime kills
0.86K/D
1,962Matches
38.9%Match win rate
49.3%Headshot % · Top 50% of tracked players
15.2%Shot accuracy · Top 50% of tracked players
3,867MVPs
617Hours (in match)
1,842Bombs planted
257Bombs defused

Most-used weapons

M4A4 / M4A1-S7,723
AK-477,641
Galil AR2,225
P2000 / USP-S1,858
FAMAS1,856
Glock-181,617
AWP1,191
Desert Eagle1,114
Knife655
MAC-10641

Lifetime map wins

3,479inferno
3,062dust2
1,125nuke
142vertigo
73lake
21train
14ar_shoots
13ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.2%Headshot accuracy
26.9%Accuracy (enemy spotted)
30.0%Spray accuracy
70.1%Counter-strafing
12.4°Preaim
875msReaction time
22.0%T opening success
36.1%CT opening success
0.06Enemies flashed / flash
1.4%Flash assists
0.00HE damage / grenade
0.40Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3697° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 875.3043ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.0595 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% 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
nuke9–30.0620%27 Aug →
nuke7–90.0819%26 Aug →
inferno7–9-0.0517%11 Aug →
nuke8–13-0.0020%4 Aug →
mirage2–13-0.0332%2 Aug →
mirage0–13-0.110%1 Aug →
mirage13–4-0.0811%1 Aug →
mirage13–7-0.1012%31 Jul →
eldorado9–50.0829%29 Jul →
nuke10–13-0.1016%29 Jul →
mirage13–40.0216%27 Jul →
mirage10–130.0122%26 Jul →
mirage4–13-0.0624%25 Jul →
mirage13–7-0.0719%25 Jul →
nuke2–13-0.0028%24 Jul →
nuke1–13-0.0730%24 Jul →
mirage5–13-0.0511%23 Jul →
mirage13–9-0.068%23 Jul →
nuke13–6-0.0617%22 Jul →
anubis5–13-0.0812%22 Jul →
nuke4–20.0540%20 Jul →
mirage1–9-0.0711%20 Jul →
nuke10–13-0.0614%20 Jul →
dust29–13-0.0424%20 Jul →
mirage13–10-0.0710%18 Jul →
nuke10–13-0.0417%15 Jul →
mirage13–5-0.0511%14 Jul →
anubis3–2-0.180%13 Jul →
dust210–13-0.0855%12 Jul →
nuke13–50.0942%12 Jul →
dust213–4-0.0463%12 Jul →
nuke4–13-0.0942%11 Jul →
inferno11–13-0.0941%11 Jul →
nuke13–50.0041%9 Jul →
mirage1–13-0.1016%9 Jul →
nuke5–13-0.1114%7 Jul →
nuke5–13-0.0930%6 Jul →
mirage8–13-0.0736%6 Jul →
mirage8–13-0.0924%5 Jul →
nuke8–13-0.0720%4 Jul →
nuke13–6-0.0722%3 Jul →
mirage11–13-0.0831%30 Jun →
nuke6–13-0.0238%28 Jun →
inferno8–13-0.0130%27 Jun →
nuke13–5-0.0648%22 Jun →
mirage13–11-0.0730%20 Jun →
nuke0–13-0.0745%18 Jun →
mirage13–5-0.0516%17 Jun →
nuke1–13-0.0536%17 Jun →
dust26–13-0.0523%17 Jun →
nuke13–9-0.0119%16 Jun →
nuke13–10.0545%16 Jun →
nuke3–13-0.0917%16 Jun →
nuke8–13-0.1033%15 Jun →
mirage3–13-0.0211%14 Jun →
nuke13–10.0533%14 Jun →
nuke7–13-0.0630%14 Jun →
nuke13–5-0.0421%14 Jun →
inferno5–13-0.0526%13 Jun →
inferno5–13-0.1136%13 Jun →
cache10–13-0.1027%12 Jun →
anubis7–13-0.0329%6 Jun →
anubis5–13-0.0821%6 Jun →
inferno6–13-0.0918%4 Jun →
mirage13–7-0.0719%4 Jun →
mirage13–6-0.0621%3 Jun →
mirage2–0-0.0550%3 Jun →
mirage13–5-0.0412%3 Jun →
anubis10–13-0.0915%2 Jun →
cache13–8-0.0821%2 Jun →
cache13–8-0.058%1 Jun →
nuke11–13-0.0315%31 May →
inferno13–1-0.0113%31 May →
mirage10–130.0315%31 May →
nuke11–13-0.0723%29 May →
anubis0–11-0.0511%29 May →
inferno6–9-0.1621%13 Dec →
inferno13–40.0018%5 Jun →
inferno7–13-0.0426%28 May →
ancient4–13-0.0316%28 May →
inferno5–9-0.190%26 May →
inferno7–9-0.0627%23 May →
dust23–13-0.0618%19 May →
mirage6–130.0113%14 May →
anubis4–13-0.0510%11 May →
anubis5–13-0.0720%7 May →
inferno13–11-0.0621%7 May →
inferno4–9-0.1542%11 Jun →
anubis13–30.0124%10 Jun →
anubis1–13-0.1425%9 Jun →
anubis12–12-0.0918%2 Jun →
anubis6–13-0.0513%31 May →
anubis12–120.0021%29 May →
vertigo9–13-0.0615%28 May →
ancient13–5-0.036%12 May →
nuke4–13-0.0226%8 May →
anubis6–13-0.1110%7 May →
mirage8–13-0.1018%20 Apr →
inferno13–11-0.0722%7 Jan →
inferno7–9-0.1213%4 Jan →

Match data via Leetify.

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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