flay =DD

flay =DD — CS2 Stats

UA76561198067360628[U:1:107094900]Steam profile ↗✓ No bans

990Tracked matches64%Win rate2022Tracked since
4,821Hours in CS26Hrs last 2 wks
CSDB Rating6.0 SolidSupport
CSDB Leaderboard#19021 of 261623 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+48Tracked matches · now 990
0.0ppWin rate · 64.3% → 64.3%

Rating over time

Premier CS Rating: 25,381 +3,853 17 Mar – 19 Oct · 28 days played
21,42025,498peak 25,49817 Mar19 Oct
25,498Peak Premier in tracked matches
42Days played since 2026-03-17

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches5641+15
Win rate54%51%+2pp
K/D1.011.06−0.05
Headshot %42%41%+1pp

Measured 19 Oct 2026 → 15 Nov 2026; previous 13 Sep 2026 → 19 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate58.7%48.2%50.9%above
Shot accuracy18.4%13.2%13.7%above
Kill/death ratio1.501.071.09above
Match win rate35.9%46.9%48.4%12.5% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGflay =DDFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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

Aim71
Positioning49
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateWWLLLWWWLL

Last 10 vs previous 10: 0pp win rate · −0.06 avg rating · −2.8pp headshot accuracy · −5ms 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 -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 513ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 516ms

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 (+1.1 against its own average).

Aim7.1
Utility5.3
Positioning4.9
Opening Duels3.5
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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.1
Positioning4.9
Utility5.3
Mechanics4.9
Opening Duels3.3
Win Impact9.8

Composite 6.0/10 (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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time539ms−16ms
first ⅓ avg 555ms → last ⅓ avg 539ms
Headshot accuracy18.1%+1.2%
first ⅓ avg 16.9% → last ⅓ avg 18.1%

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

0.20Best match rating · 13–8 · nuke, 15 Jun →
47%Best headshot accuracy · 13–1 · nuke, 21 Jun →
375msFastest reaction time · 13–7 · ancient, 9 Jun →
13–0Biggest win · inferno, 9 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
12–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 75% over 12mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%0.01
cacheB157–847%0.01
infernoA149–564%0.01
ancientS129–375%-0.00
mirageC114–736%0.03
nukeA74–357%0.03
overpassC52–340%-0.02
anubis—42–250%-0.06
vertigo—21–150%0.03
italy—21–150%0.02
office—21–150%0.03
train—20–20%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

279,948Lifetime kills
1.50K/D · Top 10% of Level 9 players
7,956Matches
35.9%Match win rate
58.7%Headshot % · Top 25% of Level 9 players
18.4%Shot accuracy · Top 10% of Level 9 players
15,065MVPs
2,774Hours (in match)
5,196Bombs planted
1,668Bombs defused

Most-used weapons

AK-4744,133
AWP26,599
FAMAS23,861
Galil AR18,723
MP712,300
P25010,510

Lifetime map wins

15,028dust2
10,209inferno
5,011nuke
1,451train
857vertigo
552cbble
333office
243lake

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

Faceit stats

Combat

150Matches
56%Win rate
1.16Avg K/D
81.4ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust23661%1.1716.9
Mirage3459%1.3215.5
Inferno1747%1.2215.5
Ancient1759%0.9314.3
Anubis1656%1.1315.3
Cache850%1.1018.9
Nuke743%1.0915.0

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.

17.5%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.3%Spray accuracy
72.2%Counter-strafing
9.6°Preaim
540msReaction time
37.2%T opening success
49.5%CT opening success
0.44Enemies flashed / flash
5.1%Flash assists
7.09HE damage / grenade
8.85Flashes / 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 0.4366 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 37.1839% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–12-0.088%12 Nov →
ancient13–10-0.0416%12 Nov →
cache8–13-0.064%9 Nov →
mirage11–13-0.058%9 Nov →
mirage2–13-0.0314%6 Nov →
inferno13–11-0.026%29 Oct →
ancient13–20.0630%29 Oct →
ancient13–80.0415%28 Oct →
ancient3–13-0.0231%13 Oct →
mirage8–130.0025%2 Oct →
mirage13–11-0.0220%1 Oct →
cache4–130.0230%1 Oct →
vertigo6–13-0.0310%24 Sept →
inferno12–120.0715%24 Sept →
dust210–130.0417%24 Sept →
dust25–13-0.0420%8 Jul →
cache13–80.1620%8 Jul →
vertigo13–110.0923%8 Jul →
italy13–30.0212%8 Jul →
mirage13–70.0817%7 Jul →
cache13–50.0424%7 Jul →
cache13–100.0124%29 Jun →
nuke11–13-0.0217%29 Jun →
dust213–110.0814%23 Jun →
anubis16–14-0.0115%21 Jun →
inferno15–150.0013%21 Jun →
mirage16–13-0.0423%21 Jun →
dust213–50.0627%21 Jun →
overpass16–14-0.0510%21 Jun →
nuke13–10.0347%21 Jun →
dust213–30.0111%21 Jun →
inferno6–13-0.0423%21 Jun →
ancient13–80.0012%21 Jun →
inferno13–90.0414%20 Jun →
anubis0–4-0.060%20 Jun →
dust23–13-0.0325%20 Jun →
inferno13–70.0221%20 Jun →
dust213–60.0324%19 Jun →
cache8–13-0.0217%19 Jun →
inferno13–8-0.0215%15 Jun →
ancient5–13-0.0321%15 Jun →
nuke13–80.2019%15 Jun →
inferno11–130.0120%9 Jun →
nuke13–20.0825%9 Jun →
ancient13–70.0526%9 Jun →
inferno13–0-0.020%9 Jun →
dust211–130.0022%29 May →
overpass10–13-0.0314%29 May →
cache3–13-0.0123%29 May →
inferno13–20.0914%29 May →
inferno9–13-0.0013%15 May →
overpass1–80.0035%15 May →
dust213–6-0.0511%14 May →
cache3–130.0112%14 May →
overpass2–13-0.0531%14 May →
cache9–13-0.0412%14 May →
mirage10–130.1220%14 May →
dust28–13-0.0016%13 May →
ancient13–11-0.0124%13 May →
office13–80.0724%13 May →
cache13–110.0520%7 May →
mirage4–130.1124%5 May →
cache6–13-0.0226%5 May →
mirage1–130.0132%5 May →
dust213–60.0317%4 May →
cache13–3-0.0118%4 May →
cache11–130.0422%29 Apr →
cache13–40.0015%29 Apr →
cache10–00.0316%29 Apr →
dust25–130.0725%29 Apr →
dust26–130.0319%27 Apr →
ancient8–130.0110%27 Apr →
dust210–130.0918%23 Apr →
ancient16–14-0.0816%21 Apr →
inferno13–7-0.0213%21 Apr →
nuke10–13-0.0225%16 Apr →
mirage13–110.0610%14 Apr →
train2–13-0.0613%12 Apr →
dust212–160.0116%12 Apr →
italy12–120.0126%11 Apr →
office12–12-0.0121%11 Apr →
mirage15–150.0525%10 Apr →
dust216–14-0.0517%3 Apr →
nuke13–9-0.0118%3 Apr →
dust213–6-0.0324%31 Mar →
ancient13–100.0710%31 Mar →
dust213–110.0412%26 Mar →
inferno13–8-0.0513%25 Mar →
train12–120.0423%25 Mar →
dust213–30.0012%25 Mar →
dust212–120.0113%24 Mar →
anubis7–13-0.1321%24 Mar →
anubis13–9-0.0522%19 Mar →
dust213–8-0.0016%19 Mar →
dust24–13-0.0415%18 Mar →
overpass13–50.057%17 Mar →
dust213–90.0422%17 Mar →
inferno13–100.0623%17 Mar →
dust213–4-0.0115%17 Mar →
nuke8–13-0.039%17 Mar →

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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