Funky.

Funky. — CS2 Stats

76561198864527440[U:1:904261712]Steam profile ↗✓ No bans

2,343Tracked matches50%Win rate2020Tracked since
CSDB Rating6.5 SolidAggressive Rifler
Premier CS Rating22,708Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#5447 of 19724 tracked
FaceitLevel 10 · 2,256 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFunky.FACEITLevel 10 · 2,256 ELOSTANDINGTop 12.4% of rankedPREMIER22,708 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning56
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateWLLWWWLWLW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.2
Aggression7.1
Utility5.7
Positioning5.6
Opening Duels2.7
Clutch3.0

Strong 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.

Your pro match

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

T-side openings. Opening success drops from 54% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim8.2
Positioning5.6
Utility5.7
Mechanics7.3
Opening Duels3.0
Win Impact5.0

Composite 6.5/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time577ms−132ms
first ⅓ avg 709ms → last ⅓ avg 577ms
Headshot accuracy23.0%−4.6%
first ⅓ avg 27.7% → last ⅓ avg 23.0%

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.

Highlights

0.19Best rating — dust2 13–3
130Biggest win — mirage
6Longest win streak
813In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 62% over 34infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA34211362%0.01
dust2C27111641%0.02
ancientA169756%0.01
anubisC94544%0.03
infernoD62433%-0.02
cache42250%0.01
nuke42250%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,924Matches
51%Win rate
1.14Avg K/D
84.7ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage20153%1.1817.8
Dust210255%1.1519.1
Ancient7450%1.1617.1
Inferno5246%1.1217.1
Anubis4937%0.9916.4
Nuke2040%1.1015.8
Overpass838%1.3218.6
Cache757%1.1419.7

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.

22.7%Headshot accuracy
37.5%Accuracy (enemy spotted)
35.6%Spray accuracy
82.9%Counter-strafing
9.5°Preaim
565msReaction time
27.1%T opening success
54.2%CT opening success
0.61Enemies flashed / flash
7.1%Flash assists
8.41HE damage / grenade
14.38Flashes / 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 27.0651% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–7-0.0613%27 Aug
dust217–19-0.0129%26 Aug
mirage11–13-0.0424%26 Aug
anubis13–9-0.0230%25 Aug
mirage13–80.0232%25 Aug
ancient13–60.0923%24 Aug
dust27–130.0321%22 Aug
mirage13–110.0815%22 Aug
anubis10–130.0616%20 Aug
mirage16–14-0.0220%19 Aug
mirage13–80.0324%18 Aug
dust213–90.0418%18 Aug
mirage11–13-0.0317%17 Aug
anubis13–100.0519%13 Aug
ancient11–130.0420%13 Aug
mirage11–13-0.0217%12 Aug
dust213–80.0324%11 Aug
nuke11–130.0326%11 Aug
mirage8–130.0247%8 Aug
ancient16–130.0512%8 Aug
inferno7–13-0.0845%7 Aug
ancient13–8-0.0120%7 Aug
dust210–13-0.0111%5 Aug
mirage5–130.0731%5 Aug
dust213–50.0122%4 Aug
ancient7–130.0124%3 Aug
dust29–13-0.0421%3 Aug
anubis9–130.0023%2 Aug
mirage13–100.0422%2 Aug
mirage13–20.0124%2 Aug
mirage13–110.0329%1 Aug
mirage13–90.0914%1 Aug
dust216–14-0.0327%30 Jul
cache10–130.0428%25 Jul
mirage15–150.0315%16 Jul
mirage13–40.0213%16 Jul
ancient9–13-0.0522%15 Jul
mirage4–13-0.0415%14 Jul
cache13–100.0925%12 Jul
anubis0–13-0.020%10 Jul
mirage13–50.0922%10 Jul
dust20–6-0.0733%10 Jul
mirage11–13-0.0330%9 Jul
mirage13–7-0.0321%9 Jul
dust213–10.1450%9 Jul
dust24–130.0326%7 Jul
nuke6–13-0.0218%5 Jul
inferno10–13-0.0220%2 Jul
ancient11–13-0.0724%2 Jul
mirage16–13-0.0423%2 Jul
ancient13–30.1220%2 Jul
anubis10–130.0620%1 Jul
mirage13–00.0142%29 Jun
anubis13–160.069%29 Jun
dust213–30.1941%28 Jun
anubis13–6-0.0145%28 Jun
cache6–13-0.0415%25 Jun
dust213–100.0513%25 Jun
mirage13–90.0913%25 Jun
inferno11–13-0.0644%24 Jun
ancient10–13-0.0521%20 Jun
dust213–110.1747%20 Jun
dust27–13-0.0730%18 Jun
mirage3–13-0.0550%13 Jun
dust210–130.0632%13 Jun
ancient8–130.0522%11 Jun
mirage14–160.0528%9 Jun
dust27–13-0.0428%6 Jun
dust212–16-0.1180%1 Jun
dust213–60.1326%31 May
mirage13–90.0117%29 May
mirage13–3-0.0120%28 May
dust216–12-0.0215%21 May
mirage13–4-0.0626%19 May
inferno16–130.0118%30 Apr
dust25–13-0.1217%28 Apr
dust28–13-0.0430%22 Apr
ancient13–3-0.0428%22 Apr
nuke13–10-0.0424%15 Apr
anubis13–110.0831%15 Apr
dust214–16-0.0431%14 Apr
ancient13–40.0713%9 Apr
inferno9–13-0.0031%6 Apr
ancient13–8-0.0219%6 Apr
mirage13–90.0231%6 Apr
dust24–130.0216%31 Mar
dust23–130.0630%29 Mar
nuke13–90.0516%24 Mar
ancient13–90.0329%23 Mar
dust213–110.0433%20 Mar
mirage4–130.0326%18 Mar
mirage13–70.0637%15 Mar
ancient13–110.0333%10 Mar
mirage6–13-0.0533%9 Mar
dust211–130.0232%9 Mar
mirage10–13-0.0134%8 Mar
mirage13–60.0532%8 Mar
mirage13–40.0318%7 Mar
inferno13–50.0322%6 Mar
ancient11–13-0.0535%4 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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