flowers

flowers — CS2 Stats

CN76561198170267106[U:1:210001378]Steam profile ↗✓ No bans

1,892Tracked matches50%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,892 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 50 days played since 24 Apr 2024. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 3,611 +0 28 Aug2 Sept · 2 observations
3,6113,611peak 3,61128 Aug2 Sept
3,611Highest Faceit ELO seen on CSDB
50Days played since 2024-04-24

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGflowersFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO3,611csdb.gg/stats

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Performance scores

Aim87
Positioning48
Utility59

0–100 skill scores via Leetify.

Recent form

HOT55441Last 10055%Win rateLWWWWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.2pp headshot accuracy · +132ms reaction

Win rate up 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

  • 41 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 545ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 578ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 512ms

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

Aim8.7
Utility5.9
Positioning4.8
Opening Duels2.4
Clutch4.4

Sharp aimerStrong CT-side opener

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

device

Plays most like device 97% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 49% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7
Positioning4.8
Utility5.9
Mechanics7.6
Opening Duels2.3
Win Impact5.0

Composite 6.3/10 (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 time530ms−18ms
first ⅓ avg 548ms → last ⅓ avg 530ms
Headshot accuracy20.7%−3.6%
first ⅓ avg 24.3% → last ⅓ avg 20.7%

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

0.15Best match rating · 13–2 · mirage, 26 Apr
54%Best headshot accuracy · 13–16 · anubis, 6 May
359msFastest reaction time · 13–2 · ancient, 23 Apr
13–2Biggest win · ancient, 23 Apr

Across the last 100 tracked matches.

Highlights

7Longest win streak
108In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 77% over 22dust2Weakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
mirageS2217577%0.01
dust2C2291341%0.00
ancientA1610663%0.00
nukeB168850%-0.00
anubisB157847%0.01
trainA53260%-0.01
overpass21150%-0.01
inferno1010%-0.04
vertigo1010%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,329Matches
58%Win rate
1.44Avg K/D
83.9ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
24%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage38756%1.2617.9
Ancient24560%1.2616.7
Anubis20362%1.4017.6
Dust218657%1.2716.9
Nuke8655%1.3016.9
Vertigo4755%1.3816.5
Overpass2875%1.3917.5
Train1771%1.3016.2

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.

21.1%Headshot accuracy
37.7%Accuracy (enemy spotted)
41.9%Spray accuracy
84.2%Counter-strafing
8.9°Preaim
526msReaction time
25.4%T opening success
48.6%CT opening success
0.62Enemies flashed / flash
6.2%Flash assists
6.64HE damage / grenade
11.95Flashes / 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

    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 25.3784% — below the 40% mark we flag

Spend your practice time on Dust 2

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

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–130.0718%4 Aug
mirage16–12-0.0425%26 Jun
ancient13–90.0725%23 Jun
mirage13–80.0226%23 Jun
dust213–60.0822%21 Jun
mirage13–40.0430%15 Jun
dust23–13-0.0410%28 Apr
nuke6–13-0.0223%28 Apr
mirage13–100.0118%27 Apr
ancient13–60.0624%27 Apr
mirage4–13-0.1014%26 Apr
overpass13–110.0323%26 Apr
nuke7–130.0124%26 Apr
mirage13–40.0733%25 Apr
dust213–30.026%25 Apr
dust29–13-0.027%23 Apr
nuke8–13-0.0117%23 Apr
ancient13–20.0324%23 Apr
dust27–13-0.0036%19 Apr
dust24–130.0224%10 Apr
ancient11–13-0.0617%5 Apr
overpass11–13-0.0424%5 Apr
anubis11–70.0233%4 Apr
anubis5–7-0.0310%4 Apr
dust213–100.0228%4 Apr
mirage1–13-0.0514%4 Apr
ancient9–13-0.0515%3 Apr
mirage13–100.0121%3 Apr
dust26–13-0.0113%1 Apr
nuke13–4-0.0121%1 Apr
mirage13–9-0.0117%30 Mar
dust213–110.0022%30 Mar
mirage13–60.1221%4 Oct
mirage13–6-0.0133%10 Sept
dust29–13-0.0417%19 Jul
mirage13–11-0.0034%19 Jul
train9–13-0.0018%19 Jul
ancient13–70.0324%12 Jul
train13–11-0.0128%10 Jul
mirage3–13-0.0352%10 Jul
dust29–13-0.0511%10 Jul
anubis13–160.0125%8 Jul
nuke11–130.0111%8 Jul
dust213–11-0.0017%8 Jul
mirage14–80.0425%7 Jul
anubis13–7-0.0315%7 Jul
mirage13–10-0.0617%7 Jul
anubis12–130.0121%7 Jul
ancient16–140.0117%7 Jul
dust210–130.0225%7 Jul
dust213–30.0632%6 Jul
nuke13–70.0334%6 Jul
nuke13–90.0233%4 Jul
dust213–6-0.0120%4 Jul
ancient13–70.0431%3 Jul
dust213–60.0534%3 Jul
nuke16–130.0318%3 Jul
dust29–13-0.0116%2 Jul
train13–90.0333%2 Jul
ancient7–13-0.0528%2 Jul
ancient13–100.0027%30 Jun
nuke5–13-0.0328%30 Jun
train13–6-0.0521%30 Jun
ancient13–8-0.0236%25 Jun
mirage13–2-0.0119%25 Jun
dust27–130.0133%22 Jun
ancient10–13-0.0533%22 Jun
ancient13–90.0132%31 May
train8–13-0.0324%31 May
anubis6–13-0.0337%31 May
anubis13–110.0210%30 May
nuke13–40.0614%30 May
nuke7–13-0.0718%23 May
anubis16–14-0.0230%23 May
nuke11–13-0.0615%21 May
nuke9–130.0031%21 May
anubis13–4-0.0219%21 May
mirage13–80.0115%21 May
anubis8–130.0117%17 May
dust23–13-0.0725%17 May
ancient13–70.0522%17 May
inferno8–8-0.0425%16 May
anubis19–170.0332%13 May
dust27–130.0121%13 May
ancient4–13-0.0010%13 May
nuke13–80.0427%11 May
nuke13–8-0.0026%1 Mar
nuke13–7-0.0222%11 Feb
anubis11–130.0717%21 Nov
dust217–190.0527%7 May
anubis13–160.0454%6 May
anubis13–110.1028%6 May
dust213–80.0327%4 May
ancient6–13-0.0516%2 May
anubis8–13-0.0537%2 May
mirage5–130.0426%2 May
vertigo3–13-0.0720%1 May
mirage13–20.1525%26 Apr
mirage16–120.0129%25 Apr
mirage13–90.0322%24 Apr

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 →