KungFoy ♡

KungFoy ♡ — CS2 Stats

US76561198813884597[U:1:853618869]Steam profile ↗✓ No bans

1,024Tracked matches54%Win rate2024Tracked since
CSDB Rating4.5 DevelopingPassive Rifler
FaceitLevel 5 · 1,185 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKungFoy ♡FACEITLevel 5 · 1,185 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning36
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY473914Last 10047%Win rateLTWTTTWLWW

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

Player DNA

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

Aim6.8
Aggression2.0
Utility2.3
Positioning3.6
Opening Duels0.0
Clutch0.0

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 72% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Reaction time. 734ms 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

Aim6.8
Positioning3.6
Utility2.3
Mechanics7.5
Opening Duels0.9
Win Impact6.4

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time728ms+16ms
first ⅓ avg 712ms → last ⅓ avg 728ms
Headshot accuracy18.8%−3.0%
first ⅓ avg 21.7% → last ⅓ avg 18.8%

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

0.14Best rating — ancient 5–13
131Biggest win — train
5Longest win streak
66In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 63% over 8overpassWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB20101050%-0.01
dust2B137654%-0.02
mirageB137654%-0.02
nukeB115645%-0.02
overpassD9090%-0.02
anubisB84450%-0.01
vertigoA85363%-0.00
trainA53260%0.02
inferno42250%-0.01
cache3030%-0.04
shelter110100%-0.00
fachwerk1010%-0.03
office1010%-0.04
stronghold110100%-0.03
alpine110100%-0.08
warden110100%-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
67%Win rate
1.05Avg K/D
67.5ADR
55%Headshot %

Clutches & streaks

0%1v1 clutch win
60%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%0.619.3
Nuke250%1.3211.5
Inferno2100%1.2816.0
Overpass10%0.7911.0
Ancient1100%1.5819.0

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.

18.5%Headshot accuracy
37.9%Accuracy (enemy spotted)
46.1%Spray accuracy
83.6%Counter-strafing
10.8°Preaim
734msReaction time
23.2%T opening success
37.1%CT opening success
0.40Enemies flashed / flash
2.2%Flash assists
7.08HE damage / grenade
2.73Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 733.8261ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.3987 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 23.1623% — below the 40% mark we flag

Spend your practice time on Overpass

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

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass8–13-0.0421%25 Aug
anubis12–12-0.0311%18 Jul
dust213–60.0127%18 Jul
ancient12–120.0020%18 Jul
cache12–12-0.0418%17 Jul
mirage12–12-0.0420%15 Jul
ancient13–3-0.0517%15 Jul
cache6–13-0.0425%15 Jul
dust213–7-0.0314%15 Jul
vertigo13–10-0.092%15 Jul
nuke13–60.0219%14 Jul
shelter13–10-0.0022%13 Jul
fachwerk9–13-0.0320%12 Jul
anubis10–13-0.0817%8 Jul
vertigo13–60.0021%8 Jul
inferno12–12-0.068%8 Jul
cache5–13-0.0517%8 Jul
dust213–10-0.0215%20 Jun
mirage8–13-0.0016%20 Jun
mirage13–5-0.0425%20 Jun
ancient11–13-0.0514%20 Jun
ancient13–11-0.0127%31 Mar
ancient12–120.0224%31 Mar
ancient13–5-0.0627%31 Mar
ancient9–13-0.0116%30 Mar
nuke7–13-0.0617%27 Mar
mirage6–13-0.0315%27 Mar
ancient13–10-0.0019%27 Mar
mirage13–100.0324%24 Mar
dust211–130.0125%24 Mar
vertigo13–8-0.0217%24 Mar
overpass6–13-0.0512%24 Mar
ancient5–130.1430%24 Mar
mirage12–12-0.0523%17 Mar
dust26–13-0.0316%17 Mar
ancient12–120.0111%8 Mar
mirage7–13-0.0817%8 Mar
anubis13–10-0.0222%24 Feb
train5–13-0.0215%24 Feb
nuke13–5-0.0123%24 Feb
ancient13–80.0220%24 Feb
dust213–50.0333%24 Feb
ancient13–5-0.0415%24 Feb
ancient13–10-0.0613%24 Feb
overpass12–12-0.0329%23 Feb
inferno13–11-0.0020%23 Feb
ancient9–13-0.0518%23 Feb
dust212–12-0.0330%23 Feb
vertigo12–120.0219%23 Feb
anubis13–50.0944%23 Feb
mirage5–30.0213%23 Feb
ancient12–12-0.0319%20 Feb
mirage13–2-0.018%20 Feb
nuke7–13-0.0520%20 Feb
office6–13-0.0428%20 Feb
overpass6–13-0.0311%20 Feb
ancient13–20.0830%19 Feb
anubis8–13-0.0118%19 Feb
inferno8–130.0030%19 Feb
mirage13–50.0324%19 Feb
train12–120.0216%19 Feb
vertigo5–13-0.0318%19 Feb
dust213–4-0.0320%19 Feb
mirage11–13-0.0620%18 Feb
anubis13–40.0615%18 Feb
nuke13–6-0.0538%18 Feb
vertigo9–13-0.0410%17 Feb
nuke7–13-0.0212%17 Feb
overpass9–13-0.0217%13 Feb
vertigo13–30.0617%13 Feb
dust29–130.0228%13 Feb
anubis13–110.0315%11 Feb
nuke8–13-0.0524%11 Feb
ancient12–12-0.0117%11 Feb
dust25–2-0.0731%11 Feb
train13–10.0223%11 Feb
overpass11–13-0.0515%11 Feb
vertigo13–40.0624%11 Feb
train13–7-0.0223%5 Feb
inferno13–60.0130%5 Feb
nuke13–60.0332%5 Feb
dust26–13-0.0926%5 Feb
anubis0–6-0.090%26 Jan
stronghold13–5-0.0312%26 Jan
alpine13–8-0.0828%26 Jan
warden13–2-0.0217%26 Jan
ancient5–13-0.037%14 Jan
dust213–7-0.0136%14 Jan
train13–10.1128%14 Jan
overpass7–130.0221%14 Jan
nuke11–13-0.0431%14 Jan
overpass7–130.0319%12 Jan
ancient13–60.0819%12 Jan
ancient13–11-0.0610%9 Jan
nuke13–90.0326%9 Jan
mirage13–20.0415%9 Jan
dust211–130.0048%9 Jan
overpass4–13-0.0531%7 Jan
nuke5–13-0.0324%7 Jan
mirage13–11-0.0515%7 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 →