rotary0

rotary0 — CS2 Stats

AU76561198317182683[U:1:356916955]Steam profile ↗✓ No bans

1,052Tracked matches50%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating18,076Purple band · top ~16.2% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (17 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: 18,076 +3,630 23 May – 24 Sept · 30 days played
12,34018,076peak 18,07623 May24 Sept
18,269Peak Premier in tracked matches
47Days played since 2026-05-23

Premier CS Rating

  • At peak — 18,076
  • +1,641 over 30 days · improving
  • +5,152 over 90 days
  • Next: Pink band at 20,000 — 1,924 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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

Share this profile

CSDB.GGrotary0FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,076 · Purple bandcsdb.gg/stats

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Performance scores

Aim84
Positioning55
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLWLWLWLWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.9pp headshot accuracy · −41ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 523ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 588ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 608ms

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 (+1.3 against its own average).

Aim8.4
Utility3.0
Positioning5.5
Opening Duels5.1
Clutch3.2

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

m0NESY

Plays most like m0NESY 85% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 594ms 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

Aim8.4
Positioning5.5
Utility3.0
Mechanics7.9
Opening Duels4.6
Win Impact5.0

Composite 6.2/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time600ms+40ms
first ⅓ avg 560ms → last ⅓ avg 600ms
Headshot accuracy19.3%−0.3%
first ⅓ avg 19.6% → last ⅓ avg 19.3%

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

0.12Best match rating · 13–3 · dust2, 13 Jun →
37%Best headshot accuracy · 13–8 · cache, 4 Sept →
438msFastest reaction time · 10–13 · mirage, 11 Jul →
13–1Biggest win · cache, 11 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 56% over 9infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB3516–1946%0.01
dust2B3418–1653%0.01
cacheA95–456%0.05
ancientD72–529%0.00
infernoD61–517%-0.00
nuke—40–40%-0.03
overpass—21–150%0.03
vertigo—21–150%0.05
office—10–10%0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

76Matches
54%Win rate
0.94Avg K/D
69.0ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.9614.5
Dust2333%0.7212.3
Anubis3100%0.5614.0
Vertigo367%0.6712.0
Nuke250%0.5611.5
Inferno10%0.509.0
Train1100%0.7316.0

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.

19.3%Headshot accuracy
41.1%Accuracy (enemy spotted)
42.5%Spray accuracy
85.5%Counter-strafing
10.1°Preaim
594msReaction time
43.1%T opening success
54.1%CT opening success
0.46Enemies flashed / flash
7.4%Flash assists
6.18HE damage / grenade
6.36Flashes / 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. 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 0.4604 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–16-0.0018%24 Sept →
mirage13–70.0822%24 Sept →
cache6–130.1018%23 Sept →
dust213–10-0.0312%23 Sept →
mirage2–13-0.049%22 Sept →
mirage13–40.0719%22 Sept →
inferno6–13-0.0513%16 Sept →
mirage13–110.0222%16 Sept →
dust211–130.0224%16 Sept →
dust213–70.0425%9 Sept →
dust213–30.0629%9 Sept →
dust216–140.0526%8 Sept →
cache13–80.0237%4 Sept →
dust213–16-0.0617%4 Sept →
dust213–9-0.0123%4 Sept →
mirage5–13-0.0513%2 Sept →
mirage3–13-0.0516%31 Aug →
dust213–90.0718%31 Aug →
mirage3–13-0.0311%31 Aug →
ancient7–13-0.0013%24 Aug →
dust213–11-0.0216%24 Aug →
cache12–120.0424%21 Aug →
mirage15–150.0315%19 Aug →
dust20–20.0225%19 Aug →
mirage8–13-0.0215%13 Aug →
dust25–13-0.0522%10 Aug →
inferno13–2-0.0322%28 Jul →
mirage13–30.0721%28 Jul →
dust22–80.0417%28 Jul →
mirage13–60.0421%27 Jul →
dust213–40.0323%26 Jul →
ancient13–50.0118%23 Jul →
mirage13–16-0.0014%23 Jul →
dust22–13-0.0336%16 Jul →
cache7–130.0121%16 Jul →
inferno8–130.0120%16 Jul →
mirage13–50.0235%15 Jul →
mirage13–110.0118%14 Jul →
mirage9–130.0319%14 Jul →
cache13–110.0917%13 Jul →
cache9–130.1027%11 Jul →
mirage10–130.0213%11 Jul →
dust213–10-0.0223%11 Jul →
cache13–10-0.0315%9 Jul →
mirage13–110.0523%9 Jul →
cache13–110.0621%9 Jul →
mirage5–13-0.0421%6 Jul →
dust28–130.0016%6 Jul →
mirage11–130.0916%3 Jul →
mirage13–5-0.0021%2 Jul →
dust213–60.0417%2 Jul →
dust210–13-0.0417%1 Jul →
mirage7–130.0216%1 Jul →
dust213–110.0625%1 Jul →
inferno9–130.0619%1 Jul →
dust213–60.0117%29 Jun →
inferno10–130.0325%29 Jun →
ancient10–130.058%29 Jun →
mirage4–130.0212%29 Jun →
dust213–90.0325%26 Jun →
mirage9–13-0.0315%26 Jun →
mirage13–9-0.0118%23 Jun →
dust211–130.0325%23 Jun →
dust214–16-0.0527%23 Jun →
dust27–90.0924%22 Jun →
ancient2–13-0.0318%22 Jun →
mirage6–13-0.0121%22 Jun →
inferno13–16-0.0431%21 Jun →
overpass6–13-0.0420%21 Jun →
mirage13–8-0.0112%21 Jun →
dust28–130.0115%21 Jun →
mirage16–140.0916%18 Jun →
mirage7–13-0.0420%18 Jun →
ancient9–130.0112%18 Jun →
mirage13–30.0118%17 Jun →
dust25–13-0.099%17 Jun →
mirage13–60.1121%16 Jun →
dust28–13-0.0827%16 Jun →
mirage4–13-0.0910%16 Jun →
mirage4–13-0.063%13 Jun →
dust213–30.1227%13 Jun →
cache13–10.0819%11 Jun →
dust216–120.085%5 Jun →
mirage13–100.0720%5 Jun →
vertigo13–100.1025%5 Jun →
ancient13–11-0.0419%4 Jun →
dust213–60.0413%3 Jun →
dust213–80.0023%3 Jun →
ancient6–130.0330%3 Jun →
nuke4–130.0229%3 Jun →
nuke7–13-0.0420%1 Jun →
dust28–130.0525%29 May →
nuke9–13-0.0715%29 May →
vertigo6–13-0.0030%28 May →
office12–120.0118%28 May →
nuke6–13-0.0129%27 May →
mirage9–130.0416%26 May →
dust213–10-0.0116%26 May →
overpass13–100.1033%23 May →
mirage13–100.0523%23 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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