ARAYA

ARAYA — CS2 Stats

IT76561198313743638[U:1:353477910]Steam profile ↗✓ No bans

136Tracked matches50%Win rate2020Tracked since
2,190Hours in CS3Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating20,494Pink band · top ~8% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

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CSDB.GGARAYAFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER20,494 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning64
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLWWWWLLLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +4.5pp headshot accuracy · −14ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 505ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 520ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 527ms

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 (+1.4 against its own average).

Aim7.8
Utility4.6
Positioning6.4
Opening Duels4.0

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

donk

Plays most like donk 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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

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

Aim7.8
Positioning6.4
Utility4.6
Mechanics6.7
Opening Duels4.3
Win Impact5.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.05
first ⅓ avg -0.03 → last ⅓ avg 0.02
Reaction time517ms−225ms
first ⅓ avg 742ms → last ⅓ avg 517ms
Headshot accuracy14.8%−0.7%
first ⅓ avg 15.6% → last ⅓ avg 14.8%

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.

Personal bests

0.18Best match rating · 9–13 · nuke, 15 Sept →
63%Best headshot accuracy · 4–13 · ancient, 28 Jan →
359msFastest reaction time · 4–13 · ancient, 28 Jan →
16–2Biggest win · mirage, 19 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
26Overtime games

Map breakdown

anubisBest map · 67% over 6overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD3210–2231%0.02
dust2C188–1044%-0.00
nukeB136–746%0.02
infernoB126–650%0.00
ancientA95–456%-0.00
anubisS64–267%0.02
overpassD61–517%-0.06
cache—21–150%0.04
vertigo—11–0100%0.01
train—11–0100%0.00

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,952Lifetime kills
0.75K/D
2,917Matches
38.5%Match win rate
33.6%Headshot %
14.4%Shot accuracy
6,632MVPs
1,196Hours (in match)
1,647Bombs planted
394Bombs defused

Most-used weapons

AWP20,180
AK-475,260
SSG 082,051
P250751
Knife659

Lifetime map wins

3,611dust2
3,452inferno
1,127nuke
665train
492vertigo
426lake
182ar_shoots
161office

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.

14.3%Headshot accuracy
37.7%Accuracy (enemy spotted)
39.5%Spray accuracy
80.1%Counter-strafing
9.2°Preaim
517msReaction time
40.9%T opening success
53.4%CT opening success
0.56Enemies flashed / flash
6.8%Flash assists
5.99HE damage / grenade
6.95Flashes / 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 14.3061% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0611%8 Nov →
dust210–50.0125%8 Nov →
mirage13–30.0429%2 Nov →
ancient13–100.0415%27 Oct →
anubis13–7-0.0313%27 Oct →
inferno5–13-0.0210%27 Oct →
inferno6–130.0016%27 Oct →
nuke5–130.0020%26 Oct →
dust213–10-0.0413%26 Oct →
dust26–13-0.0213%26 Oct →
nuke11–13-0.0214%24 Oct →
dust210–13-0.004%24 Oct →
ancient3–13-0.0111%24 Oct →
ancient13–60.069%23 Oct →
ancient13–11-0.0012%23 Oct →
ancient13–7-0.0216%23 Oct →
mirage9–130.038%23 Oct →
nuke13–110.0513%22 Oct →
nuke11–13-0.0410%22 Oct →
mirage7–130.0222%22 Oct →
inferno13–20.0223%22 Oct →
anubis4–13-0.0411%21 Oct →
dust28–13-0.0125%21 Oct →
vertigo9–70.0126%8 Oct →
dust216–140.0619%3 Oct →
cache5–130.0313%3 Oct →
nuke13–10.1611%2 Oct →
anubis13–110.0813%2 Oct →
inferno16–140.0813%2 Oct →
anubis13–20.069%1 Oct →
mirage9–130.0514%29 Sept →
mirage13–50.046%29 Sept →
mirage7–130.0922%27 Sept →
ancient13–30.0318%27 Sept →
nuke13–30.0320%27 Sept →
anubis13–20.0415%26 Sept →
mirage11–130.1114%26 Sept →
cache7–00.0418%26 Sept →
mirage6–13-0.0231%22 Sept →
dust213–80.0118%22 Sept →
mirage9–130.1019%16 Sept →
mirage15–150.0217%15 Sept →
nuke9–130.1818%15 Sept →
inferno13–70.067%6 Sept →
inferno3–13-0.0214%26 May →
mirage13–160.0315%19 May →
mirage13–20.1316%3 May →
mirage5–130.0010%3 May →
mirage13–50.0625%19 Apr →
nuke13–100.0619%19 Apr →
inferno13–80.0320%19 Apr →
nuke10–130.0329%8 Feb →
mirage3–130.0133%6 Feb →
dust213–7-0.0338%1 Feb →
ancient5–13-0.0331%1 Feb →
overpass6–13-0.0243%31 Jan →
ancient4–13-0.0863%28 Jan →
dust213–20.1160%28 Jan →
mirage15–150.0426%27 Jan →
anubis9–130.0332%25 Jan →
mirage4–130.0829%23 Jan →
mirage13–30.0557%20 Jan →
dust212–120.0232%20 Jan →
dust216–13-0.0218%19 Jan →
mirage13–60.0947%14 Jan →
mirage13–11-0.0225%14 Jan →
dust213–8-0.0238%13 Jan →
mirage1–13-0.097%13 Jan →
nuke13–2-0.0330%13 Jan →
mirage1–13-0.139%9 Jan →
dust28–13-0.017%8 Jan →
inferno7–13-0.1233%7 Jan →
overpass4–9-0.1515%7 Jan →
mirage13–90.0624%11 Dec →
ancient8–13-0.0015%10 Dec →
nuke13–9-0.0618%10 Dec →
mirage7–13-0.0330%10 Dec →
overpass5–16-0.170%10 Jul →
inferno16–8-0.0226%10 Jul →
dust25–16-0.063%5 Jun →
mirage7–9-0.0615%2 Jun →
nuke4–9-0.150%15 Apr →
mirage16–2-0.007%19 Dec →
mirage15–150.0015%31 May →
inferno11–160.008%28 May →
nuke15–150.0016%30 Apr →
mirage16–100.0010%27 Apr →
mirage8–160.0011%12 Mar →
overpass7–100.007%11 Mar →
dust29–160.0029%11 Feb →
overpass14–160.008%11 Feb →
dust210–160.006%10 Feb →
mirage11–160.0012%31 Jan →
dust25–160.008%10 Jan →
overpass16–120.0029%6 Jan →
train16–80.0038%5 Jan →
inferno16–70.006%5 Jan →
mirage12–160.0021%31 Dec →
mirage9–160.0023%31 Dec →
inferno15–150.0026%31 Dec →

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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