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Daisyyy

Daisyyy — CS2 Stats

MC76561199102819002[U:1:1142553274]Steam profile ↗✓ No bans

3,447Tracked matches47%Win rate2023Tracked since
2,583Hours in CS
CSDB Rating6.1 SolidSupport
Premier CS Rating23,917Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)
CSDB Leaderboard#33888 of 261581 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

−385Premier CS Rating · 24,302 → 23,917

Rating over time

Premier CS Rating: 23,917 +2,202 2 Sept – 14 Nov · 21 days played
21,71526,361peak 26,3612 Sept14 Nov
26,427Peak Premier in tracked matches
35Days played since 2026-09-02

Premier CS Rating

  • 2,444 below peak (26,361)
  • +1,804 over 30 days · improving
  • Next: Red band at 25,000 — 1,083 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate44.2%43.8%44.8%meets
Shot accuracy3.3%12.0%12.4%9.1% short
Kill/death ratio0.721.021.030.31 short
Match win rate43.4%44.7%45.2%1.8% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDaisyyyFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER23,917 · 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

Aim81
Positioning45
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLLWWWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +2.5pp headshot accuracy · +3ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 544ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 541ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 539ms

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).

Aim8.1
Utility5.1
Positioning4.5
Opening Duels1.7
Clutch3.0

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 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Aim8.1
Positioning4.5
Utility5.1
Mechanics7.7
Opening Duels3.2
Win Impact3.9

Composite 6.1/10 (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 rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time544ms−18ms
first ⅓ avg 562ms → last ⅓ avg 544ms
Headshot accuracy18.7%−1.9%
first ⅓ avg 20.6% → last ⅓ avg 18.7%

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

0.10Best match rating · 13–10 · inferno, 24 Sept →
44%Best headshot accuracy · 13–10 · mirage, 22 Oct →
367msFastest reaction time · 9–7 · inferno, 21 Oct →
13–1Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

15Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 75% over 8cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB3216–1650%-0.02
mirageS2517–868%-0.03
dust2B178–947%-0.04
ancientS86–275%0.00
anubisB63–350%-0.03
cacheC52–340%-0.03
nuke—32–167%-0.03
train—11–0100%0.01
italy—10–10%-0.09
overpass—10–10%0.02
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

85,343Lifetime kills
0.72K/D
6,582Matches
43.4%Match win rate
44.2%Headshot % · Top 50% of Level 5 players
3.3%Shot accuracy
8,986MVPs
2,583Hours (in match)
7,205Bombs planted
983Bombs defused

Most-used weapons

AK-4729,051
M4A4 / M4A1-S14,999
AWP11,116
Desert Eagle7,936
P2000 / USP-S4,650
Glock-183,835
Galil AR3,177
MP92,426
FAMAS1,895
MAC-101,482

Lifetime map wins

12,395dust2
10,780inferno
3,875nuke
3,227vertigo
1,795train
224office
119cbble
90italy

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

Faceit stats

Combat

286Matches
50%Win rate
0.94Avg K/D
68.8ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7957%0.9013.0
Dust26948%0.9113.4
Anubis3746%0.9214.1
Ancient3751%0.9613.4
Inferno3453%0.9914.3
Nuke1331%0.9815.5
Cache729%1.0315.1
Vertigo667%1.0014.5

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.

18.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.7%Spray accuracy
84.5%Counter-strafing
8.9°Preaim
545msReaction time
47.1%T opening success
38.9%CT opening success
0.66Enemies flashed / flash
6.8%Flash assists
4.31HE damage / grenade
5.56Flashes / 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 38.9163% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0521%14 Nov →
dust211–13-0.0216%14 Nov →
ancient13–5-0.0115%14 Nov →
inferno12–10.0723%14 Nov →
anubis13–30.0536%13 Nov →
mirage13–4-0.0038%13 Nov →
dust213–4-0.0415%13 Nov →
dust211–13-0.0511%11 Nov →
dust213–30.0319%10 Nov →
cache14–160.0219%10 Nov →
mirage9–13-0.0021%8 Nov →
inferno6–13-0.089%8 Nov →
mirage13–100.0039%8 Nov →
inferno5–9-0.0517%8 Nov →
inferno13–110.0511%7 Nov →
inferno5–13-0.0322%3 Nov →
inferno13–80.0414%31 Oct →
mirage13–11-0.0521%31 Oct →
mirage6–13-0.1116%31 Oct →
ancient4–13-0.0717%30 Oct →
inferno7–13-0.0024%30 Oct →
dust26–13-0.0814%29 Oct →
ancient9–13-0.0315%29 Oct →
mirage13–7-0.0423%28 Oct →
dust26–13-0.0617%28 Oct →
mirage9–13-0.0016%28 Oct →
inferno13–100.0123%28 Oct →
nuke11–13-0.0811%27 Oct →
inferno9–13-0.0520%27 Oct →
anubis13–6-0.0513%26 Oct →
mirage13–7-0.060%26 Oct →
inferno13–60.0123%26 Oct →
cache13–9-0.0818%26 Oct →
inferno11–13-0.0227%25 Oct →
mirage13–110.0233%25 Oct →
cache8–13-0.0419%25 Oct →
mirage4–13-0.0717%24 Oct →
anubis4–13-0.0538%24 Oct →
inferno9–13-0.0217%24 Oct →
mirage13–4-0.0813%24 Oct →
inferno13–10.0420%24 Oct →
ancient13–40.0219%24 Oct →
dust213–3-0.0518%23 Oct →
anubis12–16-0.0526%23 Oct →
inferno13–60.0225%22 Oct →
mirage13–30.0224%22 Oct →
dust26–13-0.067%22 Oct →
mirage13–100.0144%22 Oct →
inferno7–9-0.0331%21 Oct →
inferno9–70.000%21 Oct →
mirage13–6-0.0518%21 Oct →
nuke13–50.0219%21 Oct →
dust213–7-0.0616%21 Oct →
dust213–9-0.0944%20 Oct →
dust213–8-0.0117%20 Oct →
mirage13–11-0.0529%20 Oct →
inferno13–60.0035%19 Oct →
inferno16–13-0.0414%19 Oct →
anubis13–11-0.0116%19 Oct →
mirage13–6-0.0226%19 Oct →
inferno13–11-0.059%18 Oct →
cache13–10-0.0435%18 Oct →
dust213–7-0.0813%18 Oct →
ancient13–3-0.0115%18 Oct →
dust28–13-0.0010%18 Oct →
inferno11–13-0.0432%18 Oct →
train13–80.0129%17 Oct →
cache14–16-0.0229%16 Oct →
nuke16–13-0.0429%16 Oct →
inferno5–13-0.0910%15 Oct →
dust23–13-0.0724%15 Oct →
ancient13–70.0416%15 Oct →
dust28–13-0.0212%15 Oct →
inferno10–130.0027%14 Oct →
mirage13–8-0.0219%14 Oct →
ancient13–100.0428%13 Oct →
dust213–100.0623%13 Oct →
inferno9–5-0.0539%13 Oct →
inferno4–10.030%13 Oct →
inferno2–9-0.1118%13 Oct →
inferno8–8-0.090%7 Oct →
mirage3–13-0.104%6 Oct →
inferno13–7-0.0413%5 Oct →
mirage13–2-0.0021%5 Oct →
mirage6–13-0.0315%30 Sept →
mirage13–8-0.0030%30 Sept →
inferno6–9-0.150%24 Sept →
inferno13–100.1031%24 Sept →
mirage13–80.0023%24 Sept →
dust212–12-0.0713%24 Sept →
inferno13–30.0222%23 Sept →
mirage9–13-0.0510%20 Sept →
ancient13–90.0341%20 Sept →
italy2–13-0.0941%20 Sept →
overpass8–80.0224%20 Sept →
inferno7–9-0.0826%20 Sept →
vertigo6–9-0.0220%20 Sept →
mirage13–50.0223%18 Sept →
anubis10–13-0.0521%18 Sept →
mirage3–13-0.0229%17 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches15-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.

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