FlubbrDucky

FlubbrDucky — CS2 Stats

GB76561198000824006[U:1:40558278]Steam profile ↗✓ No bans

1,174Tracked matches57%Win rate2020Tracked since
4,672Hours in CS17Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating22,604Top 25% of 200,982 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#46070 of 247906 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+39Premier CS Rating · 22,565 → 22,604

Rating over time

Premier CS Rating: 22,604 +995 22 Apr – 1 Oct · 16 days played
20,65823,739peak 23,73922 Apr1 Oct
23,856Peak Premier in tracked matches
41Days played since 2026-01-24

Premier CS Rating

  • 1,135 below peak (23,739)
  • +747 over 30 days · improving
  • Next: Red band at 25,000 — 2,396 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,745), 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 8 medianLevel 9 medianvs Level 9
Headshot rate68.0%46.8%48.2%above
Shot accuracy17.9%13.0%13.3%above
Kill/death ratio1.501.061.07above
Match win rate40.2%46.3%46.9%6.7% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFlubbrDuckyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,604 · 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

Aim52
Positioning41
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLLWLWLWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.8pp headshot accuracy · −153ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 605ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 613ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 690ms

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 (+1.6 against its own average).

Aim5.2
Utility4.6
Positioning4.1
Opening Duels0.2

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

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim 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

Areas to improve

Reaction time. 662ms 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

Aim5.2
Positioning4.1
Utility4.6
Mechanics5.7
Opening Duels0.4
Win Impact7.2

Composite 4.8/10 (Developing), 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-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time671ms+24ms
first ⅓ avg 647ms → last ⅓ avg 671ms
Headshot accuracy20.9%−3.1%
first ⅓ avg 24.0% → last ⅓ avg 20.9%

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 · 3–1 · overpass, 5 Apr →
67%Best headshot accuracy · 0–13 · cache, 26 Sept →
438msFastest reaction time · 3–13 · ancient, 2 Apr →
13–0Biggest win · dust2, 15 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 64% over 14nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
anubisC188–1044%-0.00
mirageC156–940%-0.00
infernoA149–564%-0.02
dust2A148–657%-0.01
cacheA138–562%-0.01
ancientB136–746%-0.02
nukeC83–538%-0.02
overpassC52–340%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,735Lifetime kills
1.50K/D · Top 10% of Level 8 players
6,023Matches
40.2%Match win rate
68.0%Headshot % · Top 5% of Level 8 players
17.9%Shot accuracy · Top 25% of Level 8 players
12,970MVPs
2,529Hours (in match)
5,739Bombs planted
1,367Bombs defused

Most-used weapons

AK-4786,813
AWP6,176
P2503,691
FAMAS3,072
Tec-92,440

Lifetime map wins

14,213dust2
8,140inferno
1,173nuke
850train
792cbble
606vertigo
151office
89lake

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

Faceit stats

Combat

497Matches
53%Win rate
1.15Avg K/D
—ADR
57%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis475%0.9116.3
Ancient367%1.0416.3
Overpass250%1.0820.0
Inferno250%1.2218.5
Vertigo2100%1.0914.5
Mirage20%1.0416.5
Nuke1100%1.1317.0

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.

20.8%Headshot accuracy
28.5%Accuracy (enemy spotted)
35.6%Spray accuracy
75.8%Counter-strafing
9.9°Preaim
662msReaction time
27.6%T opening success
33.0%CT opening success
0.45Enemies flashed / flash
5.3%Flash assists
5.82HE damage / grenade
6.91Flashes / 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 0.4491 — 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 27.6381% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0232%1 Oct →
cache1–13-0.0815%1 Oct →
dust24–13-0.0928%30 Sept →
cache13–70.0425%29 Sept →
inferno5–130.0017%29 Sept →
nuke13–70.0519%29 Sept →
anubis9–130.0122%28 Sept →
cache13–50.0532%28 Sept →
mirage4–13-0.126%27 Sept →
cache6–13-0.0328%27 Sept →
cache4–13-0.1028%27 Sept →
mirage13–10-0.0623%27 Sept →
anubis8–130.0216%26 Sept →
cache0–13-0.0267%26 Sept →
nuke9–13-0.0213%25 Sept →
dust213–7-0.0921%25 Sept →
anubis13–50.0510%25 Sept →
cache13–10.0119%25 Sept →
anubis16–14-0.0216%24 Sept →
cache13–11-0.0217%24 Sept →
cache13–11-0.0418%23 Sept →
anubis11–13-0.0526%23 Sept →
anubis0–13-0.095%8 Sept →
cache13–10-0.039%8 Sept →
inferno13–9-0.0317%7 Sept →
inferno13–10-0.0630%7 Sept →
mirage5–13-0.0227%7 Sept →
cache13–9-0.0326%7 Sept →
ancient13–7-0.047%7 Sept →
mirage13–80.0119%18 Aug →
inferno9–13-0.1429%17 Aug →
ancient4–13-0.0515%17 Aug →
ancient13–9-0.0110%17 Aug →
mirage16–130.0617%16 Aug →
mirage11–13-0.0318%16 Aug →
dust216–130.0118%15 Aug →
mirage2–13-0.0916%15 Aug →
cache8–13-0.0218%15 Aug →
dust27–13-0.0520%15 Aug →
anubis16–12-0.0230%15 Aug →
dust213–11-0.0526%15 Aug →
dust213–00.0228%15 Aug →
ancient6–13-0.0524%15 Aug →
ancient13–30.0115%14 Aug →
anubis15–15-0.0620%14 Aug →
nuke6–13-0.0624%12 Aug →
nuke8–13-0.0318%12 Aug →
dust213–16-0.0028%12 Aug →
ancient10–13-0.017%11 Aug →
mirage8–13-0.0324%11 Aug →
nuke13–0-0.0825%11 Aug →
inferno13–11-0.0515%10 Aug →
anubis13–60.0526%10 Aug →
inferno13–100.0016%8 Aug →
ancient10–13-0.0417%6 Aug →
ancient2–13-0.0435%24 May →
overpass9–130.0621%24 May →
cache13–100.1128%29 Apr →
inferno9–13-0.0514%26 Apr →
dust213–2-0.0426%22 Apr →
anubis11–130.0520%13 Apr →
mirage13–80.1641%13 Apr →
nuke13–8-0.0133%12 Apr →
overpass13–70.0011%12 Apr →
mirage6–0-0.0033%12 Apr →
ancient13–9-0.0214%12 Apr →
mirage10–130.0215%12 Apr →
dust211–130.0630%12 Apr →
ancient10–13-0.0328%8 Apr →
anubis7–13-0.0125%6 Apr →
ancient13–110.0726%5 Apr →
overpass3–10.1722%5 Apr →
nuke3–13-0.0410%5 Apr →
dust212–12-0.0120%5 Apr →
mirage5–130.0137%5 Apr →
mirage13–40.0923%5 Apr →
overpass10–130.0313%5 Apr →
overpass6–13-0.0520%4 Apr →
inferno13–90.0128%4 Apr →
ancient13–11-0.0518%4 Apr →
dust213–50.1027%3 Apr →
dust213–5-0.0121%3 Apr →
anubis13–110.0432%3 Apr →
anubis13–80.0126%3 Apr →
inferno14–160.0025%2 Apr →
ancient3–130.0527%2 Apr →
inferno10–130.0311%31 Mar →
dust22–130.0135%31 Mar →
anubis13–40.1136%30 Mar →
mirage14–160.0123%19 Mar →
anubis0–13-0.0919%19 Mar →
nuke12–120.0020%21 Feb →
dust212–2-0.0533%21 Feb →
anubis5–13-0.0222%11 Feb →
mirage2–13-0.057%11 Feb →
inferno13–40.0126%8 Feb →
anubis15–15-0.0229%6 Feb →
inferno13–8-0.0330%6 Feb →
inferno13–80.0122%24 Jan →
anubis13–6-0.0122%24 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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.