DaisyMeRolling

DaisyMeRolling — CS2 Stats

76561198079625158[U:1:119359430]Steam profile ↗✓ No bans

523Tracked matches45%Win rate2021Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating18,522Purple band · top ~14.4% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Aug 2026 (51 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: 18,522 +2,399 3 May – 12 Aug · 17 days played
16,12319,028peak 19,0283 May12 Aug
19,401Peak Premier in tracked matches
36Days played since 2026-05-01

Premier CS Rating

  • 506 below peak (19,028)
  • +985 over 30 days · improving
  • +1,070 over 90 days
  • Next: Pink band at 20,000 — 1,478 to go
  • Reached: 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.

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CSDB.GGDaisyMeRollingPREMIER18,522 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning51
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWLWLLLLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.0pp headshot accuracy · −31ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 522ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

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 (+2.1 against its own average).

Aim6.5
Utility2.5
Positioning5.1
Opening Duels4.5
Clutch0.0

Limited utility dependence

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

s1mple

Plays most like s1mple 97% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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.

Reaction time. 564ms 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

Aim6.5
Positioning5.1
Utility2.5
Mechanics5.8
Opening Duels3.0
Win Impact3.3

Composite 4.8/10 (Developing), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time572ms−100ms
first ⅓ avg 672ms → last ⅓ avg 572ms
Headshot accuracy19.5%−4.2%
first ⅓ avg 23.7% → last ⅓ avg 19.5%

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

0.14Best match rating · 13–3 · mirage, 7 Aug →
50%Best headshot accuracy · 8–1 · mirage, 28 Jul →
453msFastest reaction time · 13–10 · cache, 9 Aug →
13–1Biggest win · cache, 9 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
cacheA2516–964%0.02
infernoC228–1436%-0.01
ancientC156–940%-0.02
mirageC146–843%0.02
nukeS96–367%0.03
anubisC83–538%0.01
dust2—20–20%-0.04
overpass—21–150%0.01
office—20–20%-0.01
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

410Matches
50%Win rate
0.94Avg K/D
70.6ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
67%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.7812.0
Anubis20%0.6913.5
Ancient2100%0.8612.0
Overpass10%1.3320.0
Inferno10%0.408.0

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.

18.6%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.9%Spray accuracy
76.1%Counter-strafing
10.8°Preaim
564msReaction time
43.2%T opening success
41.1%CT opening success
0.50Enemies flashed / flash
1.5%Flash assists
9.18HE damage / grenade
1.86Flashes / 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 0.4974 — 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.

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis14–160.0225%17 Sept →
nuke13–8-0.0127%12 Aug →
anubis6–13-0.0420%12 Aug →
inferno13–9-0.0217%12 Aug →
inferno11–13-0.0210%11 Aug →
ancient6–13-0.0314%11 Aug →
anubis2–13-0.0417%11 Aug →
nuke12–160.0433%11 Aug →
inferno13–9-0.0619%11 Aug →
cache13–80.1112%10 Aug →
mirage7–13-0.0616%10 Aug →
cache13–10-0.0017%9 Aug →
ancient8–130.0312%9 Aug →
cache13–10.1042%9 Aug →
mirage9–13-0.0224%9 Aug →
ancient13–70.0511%9 Aug →
anubis13–70.0222%7 Aug →
inferno13–60.0015%7 Aug →
inferno3–13-0.0616%7 Aug →
mirage13–30.1420%7 Aug →
mirage9–130.1116%6 Aug →
anubis13–30.148%6 Aug →
inferno9–130.0121%1 Aug →
inferno15–15-0.0115%1 Aug →
mirage7–130.0114%1 Aug →
cache13–40.0521%31 Jul →
nuke7–130.0816%31 Jul →
inferno7–13-0.0312%31 Jul →
ancient13–11-0.0516%31 Jul →
dust26–130.0028%31 Jul →
nuke13–60.0435%31 Jul →
ancient11–2-0.0128%31 Jul →
inferno14–160.0023%28 Jul →
mirage8–10.0950%28 Jul →
inferno5–13-0.0316%28 Jul →
inferno13–110.0619%28 Jul →
anubis7–13-0.039%28 Jul →
cache16–130.0016%27 Jul →
inferno11–13-0.0110%27 Jul →
ancient4–13-0.1011%27 Jul →
ancient9–13-0.0317%25 Jul →
cache5–13-0.0616%25 Jul →
mirage2–13-0.0717%25 Jul →
inferno13–11-0.0022%25 Jul →
mirage13–100.0216%25 Jul →
inferno11–13-0.0330%23 Jul →
cache13–80.0014%23 Jul →
inferno13–20.0218%23 Jul →
nuke4–13-0.0628%23 Jul →
inferno9–20.0446%22 Jul →
mirage9–13-0.0414%22 Jul →
inferno12–160.0119%21 Jul →
cache10–130.0223%21 Jul →
inferno16–140.0124%20 Jul →
cache9–130.0924%20 Jul →
cache13–50.0624%18 Jul →
ancient13–60.0424%18 Jul →
cache13–80.0619%17 Jul →
ancient4–13-0.0813%17 Jul →
mirage7–130.0115%17 Jul →
anubis7–130.0024%17 Jul →
inferno7–13-0.0125%12 Jul →
ancient13–20.0539%12 Jul →
mirage13–11-0.0126%9 Jul →
inferno11–13-0.0414%8 Jul →
cache13–30.1017%8 Jul →
cache2–13-0.0625%8 Jul →
inferno11–13-0.0127%6 Jul →
overpass13–100.0532%6 Jul →
cache13–90.0833%15 Jun →
ancient7–13-0.0118%14 Jun →
cache13–8-0.0516%19 May →
cache13–8-0.0515%17 May →
dust20–13-0.0912%17 May →
ancient2–13-0.0921%11 May →
cache12–120.0422%10 May →
anubis13–70.0518%10 May →
office12–120.0644%10 May →
office4–13-0.0814%10 May →
overpass11–13-0.0331%9 May →
cache13–10-0.0324%9 May →
nuke13–40.0623%9 May →
nuke13–100.0430%9 May →
vertigo13–8-0.0111%9 May →
mirage11–130.0329%8 May →
inferno3–13-0.0732%8 May →
cache13–30.0327%6 May →
cache6–13-0.0213%6 May →
ancient10–13-0.0325%6 May →
mirage13–30.0117%6 May →
ancient13–40.0526%5 May →
ancient10–13-0.0220%5 May →
cache12–120.0132%4 May →
nuke13–30.0739%3 May →
mirage13–30.0116%3 May →
cache8–13-0.0324%2 May →
cache13–7-0.0313%2 May →
nuke9–70.0236%1 May →
cache13–60.0320%1 May →
cache8–130.0622%1 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 →

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