Rinse Cycle

Rinse Cycle — CS2 Stats

76561199842742054[U:1:1882476326]Steam profile ↗✓ No bans

538Tracked matches36%Win rate2025Tracked since
CSDB Rating4.1 DevelopingSupport
Premier CS Rating14,735Blue band · top ~29.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (8 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.

Rating over time

Premier CS Rating: 14,735 +8,747 16 Apr – 23 Oct · 20 days played
5,98815,118peak 15,11816 Apr23 Oct
15,118Peak Premier in tracked matches
49Days played since 2026-04-16

Premier CS Rating

  • 383 below peak (15,118)
  • -142 over 30 days · steady
  • Next: Purple band at 15,000 — 265 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-21
  • Light Blue band first seen 2026-09-21

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

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Performance scores

Aim54
Positioning46
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateWLWTWLLWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +0.1pp headshot accuracy · +90ms reaction

Win rate up 40pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 595ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 602ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 557ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.4
Utility5.0
Positioning4.6
Opening Duels0.8

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

iM

Plays most like iM 81% 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

Reaction time. 589ms 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

Aim5.4
Positioning4.6
Utility5.0
Mechanics6.0
Opening Duels1.2
Win Impact0.3

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time569ms−65ms
first ⅓ avg 634ms → last ⅓ avg 569ms
Headshot accuracy10.0%−2.5%
first ⅓ avg 12.5% → last ⅓ avg 10.0%

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

0.13Best match rating · 13–4 · nuke, 28 May →
36%Best headshot accuracy · 7–13 · cache, 9 May →
453msFastest reaction time · 3–13 · ancient, 22 Jun →
13–0Biggest win · dust2, 22 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 50% over 32ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3216–1650%-0.03
mirageC2711–1641%-0.02
cacheB115–645%-0.02
nukeB115–645%0.01
ancientC83–538%-0.05
anubisC52–340%-0.02
vertigo—33–0100%0.03
office—22–0100%0.06
inferno—11–0100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.3%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.0%Spray accuracy
77.1%Counter-strafing
10.1°Preaim
589msReaction time
37.6%T opening success
31.8%CT opening success
0.57Enemies flashed / flash
1.7%Flash assists
6.18HE damage / grenade
11.50Flashes / 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 10.3249% — below the 15% mark we flag

    Aim Training →
  2. 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 37.5852% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–5-0.059%30 Oct →
cache2–13-0.0813%29 Oct →
dust213–7-0.0311%28 Oct →
dust212–12-0.0314%28 Oct →
nuke13–50.082%23 Oct →
dust26–13-0.0310%23 Oct →
dust212–16-0.0314%22 Oct →
dust213–00.0616%22 Oct →
nuke13–50.017%19 Oct →
dust210–13-0.027%19 Oct →
dust25–13-0.0410%18 Oct →
mirage4–13-0.039%16 Oct →
mirage13–30.0818%10 Oct →
mirage12–12-0.0621%10 Oct →
nuke10–130.026%10 Oct →
dust26–130.000%9 Oct →
dust210–13-0.017%8 Oct →
dust212–12-0.0711%7 Oct →
nuke9–13-0.0213%7 Oct →
ancient11–13-0.106%2 Oct →
mirage7–13-0.093%2 Oct →
office13–20.0514%1 Oct →
nuke13–4-0.0214%30 Sept →
ancient12–12-0.054%25 Sept →
dust213–4-0.0310%25 Sept →
nuke6–130.0113%24 Sept →
anubis11–13-0.048%24 Sept →
dust27–13-0.096%19 Sept →
mirage12–120.0513%19 Sept →
cache10–130.0813%19 Sept →
cache13–50.026%18 Sept →
cache13–50.0210%15 Sept →
dust27–130.0110%15 Sept →
mirage4–13-0.077%11 Sept →
mirage11–13-0.038%3 Sept →
ancient13–4-0.0115%3 Sept →
dust212–12-0.014%2 Sept →
mirage16–140.0213%29 Aug →
ancient13–11-0.048%29 Aug →
anubis13–6-0.0019%16 Aug →
mirage13–8-0.0412%16 Aug →
cache14–16-0.006%16 Aug →
nuke7–13-0.0411%16 Aug →
dust213–7-0.0915%16 Aug →
mirage4–13-0.087%15 Aug →
ancient10–13-0.0610%15 Aug →
cache13–40.0415%15 Aug →
dust213–60.0315%15 Aug →
mirage13–90.0114%15 Aug →
nuke8–130.0510%25 Jul →
mirage12–120.0111%25 Jul →
anubis0–13-0.030%25 Jul →
dust216–13-0.0414%25 Jul →
mirage13–80.0017%16 Jul →
cache5–13-0.1111%11 Jul →
mirage13–40.0112%11 Jul →
dust213–11-0.0411%11 Jul →
mirage11–13-0.0416%30 Jun →
dust213–4-0.0314%30 Jun →
mirage4–13-0.096%30 Jun →
mirage8–13-0.088%29 Jun →
dust213–11-0.0511%29 Jun →
dust213–6-0.0311%28 Jun →
mirage12–12-0.0213%22 Jun →
mirage13–90.029%22 Jun →
anubis1–13-0.054%22 Jun →
ancient3–13-0.0214%22 Jun →
dust213–11-0.0116%22 Jun →
vertigo13–20.0916%13 Jun →
mirage13–3-0.030%13 Jun →
vertigo13–11-0.015%5 Jun →
vertigo13–40.008%4 Jun →
dust214–16-0.0511%31 May →
ancient13–6-0.0413%31 May →
mirage5–13-0.018%30 May →
nuke6–13-0.084%30 May →
dust23–13-0.0113%30 May →
nuke13–40.1313%28 May →
dust213–00.0513%28 May →
mirage12–12-0.0120%23 May →
nuke13–10-0.027%15 May →
mirage13–100.0111%15 May →
mirage13–70.0316%15 May →
mirage13–40.0814%15 May →
cache7–13-0.0936%9 May →
mirage11–13-0.0314%8 May →
office13–30.0613%8 May →
cache1–13-0.069%4 May →
cache13–5-0.0518%4 May →
dust213–9-0.0111%4 May →
dust213–9-0.0110%3 May →
cache13–80.025%3 May →
dust211–13-0.0614%1 May →
ancient7–13-0.0617%21 Apr →
dust213–7-0.058%19 Apr →
anubis13–30.0310%19 Apr →
mirage12–12-0.0210%19 Apr →
dust23–13-0.0321%19 Apr →
inferno13–50.0611%19 Apr →
dust211–13-0.0719%16 Apr →

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 →

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