rOlexsheesh

rOlexsheesh — CS2 Stats

76561198228972996[U:1:268707268]Steam profile ↗✓ No bans

872Tracked matches44%Win rate2021Tracked since
767Hours in CS
CSDB Rating5.5 SolidAll-Rounder
Premier CS Rating20,174Top 50% of 185,711 CSDB-tracked playersPink band · top ~8.3% of ranked players (population est.)
CSDB Leaderboard#72765 of 232660 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (12 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 29 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,174 +1,886 3 Jun8 Sept · 15 days played
17,69220,174peak 20,1743 Jun8 Sept
20,403Peak Premier in tracked matches
47Days played since 2026-05-29

Premier CS Rating

  • At peak — 20,174
  • +816 over 30 days · improving
  • +1,158 over 90 days
  • Next: Red band at 25,000 4,826 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=36,987), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.9%46.9%49.2%5.3% short
Shot accuracy6.1%13.0%13.4%7.2% short
Kill/death ratio1.121.081.12meets
Match win rate41.8%46.7%48.5%6.7% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGrOlexsheeshPREMIER20,174 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning55
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY51427Last 10051%Win rateLWWLLLWTLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +3.9pp headshot accuracy · +44ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 578ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 542ms

Last 20

  • 6113 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 520ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim7.3
Utility5.1
Positioning5.5
Opening Duels3.9

Strong CT-side opener

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

jL

Plays most like jL 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.3
Positioning5.5
Utility5.1
Mechanics4.5
Opening Duels3.8
Win Impact3.0

Composite 5.5/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time507ms−61ms
first ⅓ avg 568ms → last ⅓ avg 507ms
Headshot accuracy20.4%+0.4%
first ⅓ avg 20.0% → last ⅓ avg 20.4%

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

0.33Best match rating · 13–3 · dust2, 6 Jun
50%Best headshot accuracy · 9–4 · inferno, 14 Sept
359msFastest reaction time · 13–7 · office, 8 Jun
13–1Biggest win · ancient, 25 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
59In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 80% over 10cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
officeB189950%0.03
mirageA1610663%0.03
dust2C167944%0.02
nukeB126650%0.01
ancientC104640%0.03
infernoS108280%0.03
anubisB105550%0.03
cacheD82625%-0.02

Across the last 100 tracked matches.

Lifetime stats

39,460Lifetime kills
1.12K/D · Top 50% of Pink band
2,092Matches
41.8%Match win rate
43.9%Headshot %
6.1%Shot accuracy
3,822MVPs
767Hours (in match)
1,496Bombs planted
453Bombs defused

Most-used weapons

Lifetime map wins

3,329inferno
3,180dust2
1,270office
1,066nuke
283vertigo
94train
32cbble
21ar_shoots

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.

19.3%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.8%Spray accuracy
70.2%Counter-strafing
9.8°Preaim
509msReaction time
36.1%T opening success
54.2%CT opening success
0.55Enemies flashed / flash
2.4%Flash assists
7.09HE damage / grenade
8.80Flashes / 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 36.1342% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0313%15 Sept
inferno9–40.1550%14 Sept
office13–60.0729%14 Sept
ancient11–130.0322%9 Sept
mirage5–13-0.0430%8 Sept
inferno10–13-0.0016%8 Sept
anubis13–80.0716%8 Sept
ancient12–12-0.0221%7 Sept
nuke8–13-0.0426%6 Sept
mirage6–10.0318%6 Sept
dust24–130.0121%6 Sept
dust27–13-0.0716%5 Sept
office12–12-0.0422%4 Sept
office4–13-0.086%3 Sept
mirage7–13-0.0619%1 Sept
dust212–12-0.0124%30 Aug
cache5–130.0218%30 Aug
mirage13–70.1025%27 Aug
office13–30.0325%27 Aug
cache10–130.0426%26 Aug
cache10–130.0014%26 Aug
ancient13–10.1430%25 Aug
inferno9–10.0521%25 Aug
anubis12–120.0117%25 Aug
nuke13–3-0.0213%24 Aug
anubis5–13-0.0315%22 Aug
nuke13–3-0.0121%22 Aug
dust213–11-0.0418%21 Aug
office9–130.0214%18 Aug
inferno13–5-0.0412%18 Aug
ancient12–120.0713%18 Aug
anubis13–110.0810%17 Aug
nuke5–13-0.0533%17 Aug
cache13–90.0213%10 Aug
anubis11–13-0.0713%9 Aug
mirage13–30.0419%9 Aug
mirage13–50.0417%7 Aug
mirage13–40.0717%7 Aug
dust29–13-0.0914%5 Aug
ancient13–70.0114%5 Aug
cache3–130.0324%4 Aug
inferno13–8-0.0523%4 Aug
dust213–90.0324%4 Aug
dust29–130.0427%3 Aug
ancient13–80.0216%3 Aug
inferno13–110.0313%3 Aug
dust26–13-0.0314%3 Aug
anubis13–100.0612%3 Aug
anubis7–130.0021%3 Aug
anubis13–30.0120%2 Aug
mirage4–13-0.0211%2 Aug
dust21–9-0.0316%2 Aug
dust213–90.0218%31 Jul
mirage13–7-0.0118%27 Jul
ancient13–20.063%27 Jul
cache6–13-0.0610%27 Jul
office11–13-0.0318%1 Jul
inferno13–60.0715%28 Jun
office2–130.0233%22 Jun
office13–90.0415%21 Jun
office13–8-0.0319%15 Jun
nuke14–160.0717%14 Jun
dust23–13-0.0419%13 Jun
nuke13–100.0833%13 Jun
office13–5-0.0023%13 Jun
dust213–60.0729%12 Jun
office13–60.1124%12 Jun
office9–130.0824%12 Jun
mirage13–90.1118%12 Jun
mirage3–13-0.0118%11 Jun
mirage9–70.0319%11 Jun
dust213–90.1021%11 Jun
office11–130.0214%11 Jun
nuke12–120.0113%10 Jun
mirage4–13-0.0320%10 Jun
office13–110.0919%10 Jun
office11–130.0010%10 Jun
anubis8–130.0621%9 Jun
inferno13–100.0816%8 Jun
dust213–5-0.0319%8 Jun
office13–70.0317%8 Jun
nuke13–50.1113%7 Jun
dust213–30.3329%6 Jun
mirage13–80.1024%6 Jun
nuke6–13-0.0512%5 Jun
ancient8–13-0.0314%5 Jun
nuke13–100.0026%5 Jun
inferno16–130.0320%5 Jun
ancient11–130.0623%4 Jun
nuke13–4-0.0120%4 Jun
inferno9–130.0319%4 Jun
mirage13–110.0513%4 Jun
dust211–130.0720%3 Jun
cache0–13-0.107%3 Jun
mirage13–40.0823%3 Jun
nuke9–130.0633%3 Jun
office13–100.0835%31 May
office12–120.0442%29 May
anubis13–60.0724%29 May
cache13–3-0.0816%29 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →