Flubbertunk — CS2 Stats

76561199731681973[U:1:1771416245]✓ No bans

104Tracked matches43%Win rate2025Tracked since
CSDB Rating4.9 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim66
Positioning47
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY42493Last 9445%Win rateWWLLLWLWLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression5.1
Utility3.2
Positioning4.7
Opening Duels1.7
Clutch1.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 642ms 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

Aim6.6
Positioning4.7
Utility3.2
Mechanics6.8
Opening Duels1.7
Win Impact2.8

Composite 4.9/10 (Developing), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time633ms−103ms
first ⅓ avg 737ms → last ⅓ avg 633ms
Headshot accuracy17.0%+1.7%
first ⅓ avg 15.3% → last ⅓ avg 17.0%

Rolling 5-match average across the last 94 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.28Best rating — anubis 13–1
130Biggest win — mirage
5Longest win streak
W2Current streak
68In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 100% over 5infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC29121741%0.03
dust2C1881044%-0.00
nukeC156940%0.01
infernoC114736%-0.01
trainS54180%0.02
ancientS550100%0.06
anubis32167%0.07
office3030%-0.07
vertigo21150%0.04
fachwerk1010%-0.05
cache1010%-0.01
overpass1010%-0.06

Across the last 94 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches
29%Win rate
0.84Avg K/D
65.4ADR
47%Headshot %

Clutches & streaks

25%1v1 clutch win
18%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2743%0.6110.1
Mirage50%0.8313.2
Inferno333%1.2414.7
Anubis250%0.9317.5
Vertigo250%1.0518.0
Ancient10%0.9313.0
Cache10%0.628.0

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.

17.6%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.4%Spray accuracy
80.8%Counter-strafing
10.5°Preaim
642msReaction time
31.7%T opening success
41.8%CT opening success
0.53Enemies flashed / flash
5.4%Flash assists
3.96HE damage / grenade
3.57Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5707 — below the 4 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 31.7398% — 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 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
train13–20.0615%29 Aug
dust213–80.1319%25 Aug
dust22–13-0.0910%14 Aug
nuke0–90.000%14 Aug
inferno14–16-0.0812%14 Aug
mirage13–100.0317%13 Aug
nuke8–130.0012%13 Aug
vertigo13–110.0913%12 Aug
mirage9–130.0214%12 Aug
dust213–100.0113%12 Aug
ancient13–50.057%12 Aug
inferno5–2-0.0125%12 Aug
mirage4–13-0.0013%12 Aug
mirage13–00.0017%12 Aug
mirage13–50.2126%11 Aug
ancient13–100.1016%11 Aug
vertigo12–160.0012%7 Aug
anubis1–13-0.0615%7 Aug
mirage11–13-0.0311%4 Aug
anubis19–17-0.007%2 Aug
dust216–13-0.0526%2 Aug
mirage8–130.0336%31 Jul
office7–13-0.0724%25 Jul
fachwerk9–13-0.0537%25 Jul
nuke5–130.0418%25 Jul
mirage5–130.0138%24 Jul
dust24–13-0.0330%24 Jul
inferno9–130.0617%13 Jul
ancient13–40.039%2 Jul
inferno14–16-0.0414%1 Jul
nuke13–30.114%30 Jun
nuke10–13-0.0311%30 Jun
mirage13–16-0.0220%26 Jun
dust21–130.0222%20 Jun
mirage11–130.0819%20 Jun
nuke11–13-0.0522%20 Jun
inferno13–160.0120%19 Jun
mirage6–130.079%19 Jun
mirage13–110.0724%19 Jun
inferno11–13-0.078%9 Jun
ancient13–00.0818%9 Jun
ancient13–60.0322%8 Jun
mirage13–50.0439%8 Jun
nuke13–60.0415%8 Jun
inferno13–11-0.0228%8 Jun
dust215–150.0522%8 Jun
mirage10–130.0710%8 Jun
inferno11–30.1318%8 Jun
dust213–110.0511%6 Jun
dust26–130.0224%5 Jun
nuke9–70.1226%23 May
inferno8–130.0031%8 May
office3–13-0.046%8 May
nuke13–50.0312%3 May
mirage9–130.0118%1 May
cache9–13-0.0126%1 May
nuke6–13-0.0111%24 Apr
mirage9–130.018%24 Apr
office12–12-0.107%6 Mar
mirage15–150.0324%2 Mar
dust26–13-0.1522%2 Mar
mirage9–130.0218%1 Mar
mirage7–13-0.0426%1 Mar
nuke16–120.0124%28 Feb
mirage13–2-0.0317%28 Feb
mirage6–13-0.076%28 Feb
dust213–10-0.0413%20 Feb
mirage13–20.1619%11 Feb
anubis13–10.2822%11 Feb
dust29–130.0125%29 Jan
mirage5–13-0.0721%29 Jan
dust213–8-0.0119%29 Jan
dust23–13-0.0113%20 Dec
mirage13–4-0.0312%20 Dec
nuke13–5-0.039%20 Dec
mirage13–40.0516%20 Dec
inferno13–7-0.055%25 Nov
train5–130.0013%9 Nov
dust25–13-0.0815%30 Oct
train13–2-0.049%26 Oct
train13–90.0115%25 Oct
nuke11–13-0.0115%19 Oct
mirage13–50.0521%19 Oct
nuke10–13-0.0215%17 Oct
dust213–50.0915%17 Oct
mirage13–100.0515%13 Oct
inferno8–13-0.0016%13 Oct
dust213–90.0116%13 Oct
mirage13–50.0319%24 Sept
mirage9–13-0.019%24 Sept
nuke4–13-0.0520%31 Aug
dust27–130.0016%31 Aug
train13–20.0610%31 Aug
overpass4–3-0.0613%30 Aug

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →