DaisyMerollin

DaisyMerollin — CS2 Stats

76561198197570053[U:1:237304325]Steam profile ↗✓ No bans

1,607Tracked matches55%Win rate2020Tracked since
4,936Hours in CS10Hrs last 2 wks
CSDB Rating6.2 SolidSupport
Premier CS Rating20,993Top 50% of 211,494 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#69542 of 258512 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). 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: 20,993 -7,572 16 May – 28 Oct · 51 days played
17,60228,923peak 28,92316 May28 Oct
29,203Peak Premier in tracked matches
62Days played since 2026-05-16

Premier CS Rating

  • 7,930 below peak (28,923)
  • +1,366 over 30 days · improving
  • Next: Red band at 25,000 — 4,007 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-10-06
  • Purple band first seen 2026-08-31

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 Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate44.8%50.9%
Shot accuracy13.6%13.7%
Kill/death ratio0.891.09
Match win rate49.7%48.4%

Share this profile

CSDB.GGDaisyMerollinFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER20,993 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning50
Utility77

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLLLWLLLLWW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +1.8pp headshot accuracy · −30ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 581ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 542ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • 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 (+2.8 against its own average).

Aim7.5
Utility7.7
Positioning5.0
Opening Duels0.5
Clutch6.4

High utility contribution

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

NiKo

Plays most like NiKo 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 47% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 556ms 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

Aim7.5
Positioning5.0
Utility7.7
Mechanics5.4
Opening Duels2.1
Win Impact6.7

Composite 6.2/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time567ms−22ms
first ⅓ avg 590ms → last ⅓ avg 567ms
Headshot accuracy22.8%−0.5%
first ⅓ avg 23.3% → last ⅓ avg 22.8%

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

0.17Best match rating · 13–6 · dust2, 14 Jul →
50%Best headshot accuracy · 13–7 · mirage, 28 Aug →
328msFastest reaction time · 6–13 · inferno, 7 Aug →
13–1Biggest win · ancient, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
10–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 71% over 21infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%0.02
ancientS2115–671%0.03
infernoC145–936%0.04
anubisC135–838%0.02
cacheC125–742%0.02
mirageA116–555%0.00
nukeC52–340%-0.01
overpass—10–10%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,286Lifetime kills
0.89K/D
5,219Matches
49.7%Match win rate · Top 50% of Level 10 players
44.8%Headshot %
13.6%Shot accuracy
14,599MVPs
2,536Hours (in match)
8,933Bombs planted
1,638Bombs defused

Most-used weapons

AK-4735,021
AWP9,596
Knife4,227
MAC-102,976
P2502,137
FAMAS1,770

Lifetime map wins

11,713inferno
10,439dust2
3,790vertigo
3,014nuke
1,640train
1,254cbble
315lake
109office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

652Matches
52%Win rate
1.00Avg K/D
92.0ADR
45%Headshot %

Clutches & streaks

52%1v1 clutch win
34%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust23959%1.4420.4
Inferno2458%1.3720.5
Ancient2171%1.7320.8
Train1776%1.9418.9
Anubis1267%1.6718.8
Mirage1267%1.5217.6
Overpass333%1.2818.0
Nuke10%1.5722.0

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.

23.6%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.5%Spray accuracy
74.1%Counter-strafing
11.5°Preaim
556msReaction time
46.8%T opening success
29.6%CT opening success
0.67Enemies flashed / flash
11.5%Flash assists
9.64HE damage / grenade
19.83Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.6131% — below the 40% mark we flag

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 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0031%28 Oct →
cache8–13-0.0129%26 Oct →
dust28–13-0.0418%25 Oct →
mirage13–6-0.0221%25 Oct →
dust25–13-0.0516%24 Oct →
mirage10–13-0.0227%22 Oct →
nuke9–13-0.0218%22 Oct →
anubis13–160.0419%21 Oct →
ancient13–100.0825%20 Oct →
nuke13–8-0.0133%16 Oct →
ancient13–60.0118%16 Oct →
cache8–13-0.0123%15 Oct →
cache13–30.1433%13 Oct →
inferno8–130.0120%12 Oct →
anubis16–140.0325%11 Oct →
cache4–13-0.0518%10 Oct →
cache13–110.0633%10 Oct →
dust213–20.0627%8 Oct →
cache13–60.0114%6 Oct →
anubis1–8-0.009%6 Oct →
cache13–40.0630%5 Oct →
dust216–140.0113%4 Oct →
nuke13–20.0428%3 Oct →
ancient13–10.0530%3 Oct →
mirage13–110.0725%2 Oct →
cache13–2-0.0136%1 Oct →
anubis7–13-0.0013%25 Sept →
ancient7–13-0.0423%20 Sept →
dust215–150.0222%19 Sept →
anubis13–110.1133%19 Sept →
cache0–13-0.0311%19 Sept →
mirage13–9-0.0410%19 Sept →
cache7–13-0.0121%18 Sept →
dust211–13-0.0326%9 Sept →
inferno9–13-0.0314%7 Sept →
ancient8–13-0.0528%29 Aug →
dust210–13-0.0826%29 Aug →
mirage13–70.0450%28 Aug →
anubis13–60.0713%28 Aug →
inferno13–80.0833%23 Aug →
dust213–80.0022%22 Aug →
inferno13–40.0521%22 Aug →
anubis13–50.0424%22 Aug →
anubis7–13-0.0119%19 Aug →
ancient13–70.0920%16 Aug →
inferno13–60.1030%16 Aug →
anubis11–13-0.0231%14 Aug →
ancient13–90.0618%13 Aug →
nuke8–13-0.0322%13 Aug →
cache11–13-0.0224%12 Aug →
ancient13–50.0724%12 Aug →
mirage9–130.0417%10 Aug →
dust213–100.0321%9 Aug →
inferno6–130.0317%7 Aug →
ancient13–11-0.0132%7 Aug →
ancient13–6-0.0024%7 Aug →
dust211–130.0721%6 Aug →
mirage10–13-0.0317%6 Aug →
ancient16–130.0726%3 Aug →
cache14–160.0415%28 Jul →
ancient14–160.0617%23 Jul →
anubis13–80.0311%14 Jul →
inferno7–13-0.0617%14 Jul →
inferno13–50.0423%14 Jul →
dust213–60.1721%14 Jul →
ancient11–130.0418%13 Jul →
dust212–160.1019%12 Jul →
anubis6–13-0.0718%29 Jun →
inferno10–130.0221%29 Jun →
ancient13–11-0.0125%29 Jun →
dust210–13-0.0415%28 Jun →
dust213–50.1313%28 Jun →
ancient13–11-0.0320%27 Jun →
dust213–7-0.0217%27 Jun →
dust26–13-0.0016%24 Jun →
inferno13–70.1230%24 Jun →
dust215–15-0.0127%24 Jun →
ancient16–140.0322%23 Jun →
mirage13–90.0034%22 Jun →
dust26–130.0932%22 Jun →
nuke10–13-0.0132%22 Jun →
mirage13–11-0.0627%21 Jun →
ancient13–30.0526%20 Jun →
ancient13–70.0231%20 Jun →
dust213–90.0416%20 Jun →
mirage11–130.0427%20 Jun →
dust210–13-0.0120%18 Jun →
anubis11–13-0.0411%17 Jun →
dust213–50.0234%17 Jun →
inferno9–130.1124%17 Jun →
inferno8–13-0.0118%16 Jun →
overpass10–130.0514%15 Jun →
inferno8–130.0721%15 Jun →
ancient0–130.009%12 Jun →
dust213–30.0635%12 Jun →
ancient13–90.0323%9 Jun →
inferno7–13-0.0025%30 May →
dust213–90.0325%20 May →
anubis6–130.0536%16 May →
ancient10–130.0526%16 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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