funk — CS2 Stats

76561198374759402[U:1:414493674]

554Tracked matches43%Win rate2020Tracked since
CSDB Rating6.6 SolidEntry Fragger
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGfunkFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning78
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateWLWLWLLLWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim7.5
Aggression10.0
Utility3.8
Positioning7.8
Opening Duels7.1

Effective flashes

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

s1mple

Plays most like s1mple 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

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. 611ms 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

Aim7.5
Positioning7.8
Utility3.8
Mechanics8.3
Opening Duels7.1
Win Impact2.8

Composite 6.6/10 (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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time608ms−67ms
first ⅓ avg 675ms → last ⅓ avg 608ms
Headshot accuracy20.4%+3.4%
first ⅓ avg 17.0% → last ⅓ avg 20.4%

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

0.28Best rating — vertigo 9–1
131Biggest win — anubis
8Longest win streak
77In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 71% over 7dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA2112957%0.06
nukeD1861233%0.05
infernoC156940%0.01
dust2D113827%0.01
mirageS107370%0.02
overpassB105550%0.04
trainS75271%0.06
anubisC52340%0.06
vertigo220100%0.21
brewery1010%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
41.7%Spray accuracy
87.3%Counter-strafing
11.9°Preaim
611msReaction time
51.1%T opening success
65.4%CT opening success
0.79Enemies flashed / flash
7.8%Flash assists
4.70HE damage / grenade
10.57Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–80.0222%28 Aug
dust29–130.0132%27 Apr
ancient13–40.1223%27 Apr
inferno8–130.0217%27 Apr
ancient13–30.1738%17 Feb
anubis9–130.0715%17 Feb
dust211–130.0517%17 Feb
dust29–130.0213%17 Dec
mirage13–100.0530%14 Dec
ancient16–130.0614%14 Dec
overpass9–13-0.0119%14 Dec
ancient10–130.0218%7 Oct
inferno9–20.0724%7 Oct
overpass2–7-0.0222%26 Sept
nuke11–13-0.0516%19 Sept
inferno16–140.0522%17 Sept
inferno13–70.0222%17 Sept
ancient14–160.0323%16 Sept
ancient9–130.0512%8 Sept
ancient4–130.0117%8 Sept
overpass16–140.0412%31 Aug
mirage2–130.0321%31 Aug
nuke7–130.0618%31 Aug
ancient13–80.0826%22 Aug
inferno4–13-0.0529%20 Aug
nuke6–130.0721%20 Aug
ancient13–110.0323%12 Aug
inferno13–70.0420%12 Aug
ancient13–30.1019%8 Aug
nuke16–130.0014%7 Aug
ancient8–130.0315%6 Aug
overpass14–160.0424%6 Aug
overpass15–150.1016%6 Aug
ancient16–130.0413%5 Aug
brewery8–80.0413%5 Aug
ancient12–160.1521%3 Aug
nuke7–13-0.0116%2 Aug
train13–90.0421%2 Aug
dust23–13-0.0122%1 Aug
inferno7–90.0318%1 Aug
vertigo9–10.2828%1 Aug
nuke13–80.1419%31 Jul
mirage13–20.0724%31 Jul
overpass13–60.0224%30 Jul
mirage13–30.0625%30 Jul
overpass13–90.0124%30 Jul
inferno9–00.1657%30 Jul
vertigo9–50.1530%29 Jul
nuke8–80.0817%29 Jul
nuke3–9-0.0510%27 Jul
nuke9–70.0420%27 Jul
overpass9–70.0919%27 Jul
train13–100.0818%23 Jul
mirage13–9-0.0218%23 Jul
ancient9–13-0.0220%23 Jul
inferno13–90.0125%22 Jul
nuke13–70.0320%22 Jul
dust26–130.0011%22 Jul
overpass13–70.0317%22 Jul
overpass9–130.059%17 Jul
ancient6–130.0419%17 Jul
ancient13–2-0.0112%17 Jul
dust21–13-0.086%17 Jul
train13–50.2125%17 Jul
nuke7–90.1025%14 Jul
nuke13–110.0421%14 Jul
anubis13–110.0818%12 Jul
nuke8–20.2423%12 Jul
dust213–60.0118%12 Jul
train13–100.0618%10 Jul
inferno10–13-0.0514%10 Jul
mirage7–130.0223%6 Jul
train6–13-0.0115%6 Jul
nuke8–80.0813%6 Jul
dust213–70.0518%2 Jul
inferno10–130.0319%2 Jul
train13–100.0120%2 Jul
mirage13–5-0.037%28 Jun
inferno7–13-0.0416%28 Jun
nuke9–13-0.0118%28 Jun
inferno4–13-0.025%28 Jun
nuke7–130.0514%27 Jun
mirage13–100.0924%27 Jun
anubis9–130.0322%24 Jun
inferno3–9-0.1110%24 Jun
anubis13–10.1513%21 Jun
dust213–80.1015%21 Jun
ancient13–60.1525%21 Jun
nuke8–130.0818%17 Jun
ancient16–130.0915%17 Jun
inferno4–13-0.0016%17 Jun
ancient16–130.0214%17 Jun
mirage10–13-0.0419%12 Jun
ancient10–13-0.0121%12 Jun
nuke7–13-0.0210%12 Jun
anubis5–13-0.0215%12 Jun
dust211–13-0.0318%12 Jun
mirage13–6-0.0013%12 Jun
train10–130.0024%12 Jun
dust24–13-0.0130%11 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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