FudgeKaKes

FudgeKaKes — CS2 Stats

US76561198092663921[U:1:132398193]Steam profile ↗

166Tracked matches58%Win rate2023Tracked since
CSDB Rating3.7 Learning
Premier CS Rating9,738Light Blue band · top ~56.1% of ranked players (population est.)
CSDB Leaderboard#37973 of 52439 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGFudgeKaKesPREMIER9,738 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning38
Utility5

0–100 skill scores via Leetify.

Recent form

COLD593110Last 10059%Win rateLWWLLTWTTT

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim5.2
Aggression3.5
Utility0.5
Positioning3.8
Opening Duels0.0

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 65% 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

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. 711ms 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
Positioning3.8
Utility0.5
Mechanics6.1
Opening Duels0.2
Win Impact7.8

Composite 3.7/10 (Learning), 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 -0.03 → last ⅓ avg -0.02
Reaction time734ms+39ms
first ⅓ avg 695ms → last ⅓ avg 734ms
Headshot accuracy13.7%−0.3%
first ⅓ avg 14.0% → last ⅓ avg 13.7%

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

0.13Best rating — nuke 13–2
130Biggest win — golden
9Longest win streak
64In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 73% over 15vertigoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS1511473%-0.01
dust2A149564%-0.02
ancientS128467%-0.03
nukeB126650%-0.01
anubisB84450%-0.04
officeA85363%-0.04
vertigoC73443%-0.04
trainA53260%-0.00
overpass43175%0.03
thera31233%-0.06
palais21150%-0.01
basalt2020%-0.02
mills220100%0.04
stronghold1010%-0.09
golden110100%0.02
whistle1010%-0.04
edin1010%-0.09
italy110100%0.02
mirage110100%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Vertigo 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.

13.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
42.3%Spray accuracy
77.4%Counter-strafing
12.5°Preaim
711msReaction time
24.8%T opening success
31.9%CT opening success
0.23Enemies flashed / flash
0.0%Flash assists
9.67HE damage / grenade
1.21Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5211° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0266% — below the 15% mark we flag

    Aim Training
  3. 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 710.5236ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Vertigo

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
stronghold10–13-0.094%19 Mar
golden13–00.027%9 Oct
anubis13–8-0.0310%19 Jan
train8–13-0.096%2 Jan
anubis7–13-0.106%1 Jan
whistle8–8-0.0414%27 Nov
palais9–50.0824%27 Nov
train12–12-0.0115%26 Nov
basalt12–120.0510%19 Nov
palais8–8-0.1117%19 Nov
basalt8–13-0.094%15 Nov
train13–3-0.007%15 Nov
edin4–11-0.0919%14 Nov
train13–30.009%14 Nov
train13–10.1113%14 Nov
dust210–13-0.0117%13 Nov
ancient7–13-0.0224%13 Nov
dust213–9-0.0418%13 Nov
mills13–100.0318%5 Nov
overpass4–00.1015%5 Nov
thera12–12-0.0421%5 Nov
inferno15–15-0.0411%4 Nov
anubis13–70.0113%4 Nov
nuke12–120.0126%1 Nov
overpass5–13-0.0122%28 Oct
inferno13–8-0.008%28 Oct
nuke13–110.016%22 Oct
anubis13–2-0.0415%22 Oct
office8–13-0.0016%22 Oct
nuke13–00.0316%20 Oct
office12–12-0.0713%19 Oct
thera11–13-0.084%17 Oct
overpass13–10.0326%16 Oct
ancient5–13-0.0516%16 Oct
thera13–6-0.069%15 Oct
mills13–60.049%15 Oct
inferno13–10-0.0011%15 Oct
nuke10–13-0.0031%15 Oct
dust26–13-0.0114%14 Oct
ancient13–10-0.0125%14 Oct
overpass13–8-0.0020%13 Oct
ancient13–10-0.062%13 Oct
office12–12-0.0213%12 Oct
office13–4-0.0215%12 Oct
inferno13–70.0112%11 Oct
dust215–150.0122%11 Oct
nuke13–6-0.0420%11 Oct
office13–2-0.0116%10 Oct
office13–10-0.0410%10 Oct
inferno7–13-0.0115%9 Oct
vertigo13–80.0216%9 Oct
inferno13–70.0512%8 Oct
vertigo7–13-0.0219%8 Oct
nuke6–13-0.0712%7 Oct
anubis7–13-0.068%7 Oct
dust213–100.0015%7 Oct
vertigo10–13-0.104%4 Oct
office13–8-0.0515%3 Oct
italy13–80.0215%3 Oct
ancient13–60.0410%1 Oct
inferno13–11-0.0117%1 Oct
anubis13–2-0.019%1 Oct
dust26–13-0.0121%30 Sept
dust213–10-0.0413%29 Sept
inferno7–13-0.0617%29 Sept
office13–5-0.0711%29 Sept
anubis9–130.0011%29 Sept
nuke13–20.134%29 Sept
dust216–14-0.069%26 Sept
inferno13–90.0313%26 Sept
ancient13–2-0.0610%25 Sept
nuke13–7-0.0113%25 Sept
dust213–3-0.0412%25 Sept
inferno7–13-0.1013%24 Sept
ancient13–10-0.105%24 Sept
dust213–20.0015%24 Sept
nuke11–13-0.059%24 Sept
inferno13–30.0934%23 Sept
nuke10–13-0.1217%22 Sept
dust213–11-0.0423%22 Sept
inferno13–10-0.0713%22 Sept
ancient13–40.0119%21 Sept
vertigo13–9-0.0614%20 Sept
mirage13–10-0.0311%20 Sept
dust216–130.0128%20 Sept
ancient13–2-0.0419%19 Sept
dust213–7-0.0422%19 Sept
inferno13–30.0118%19 Sept
ancient11–13-0.0713%18 Sept
nuke16–130.0215%18 Sept
vertigo13–11-0.019%17 Sept
vertigo8–13-0.0112%17 Sept
dust29–13-0.0612%16 Sept
inferno13–4-0.0517%16 Sept
ancient13–4-0.032%12 Sept
vertigo11–13-0.0713%9 Sept
nuke1–13-0.0519%9 Sept
ancient6–13-0.035%2 Sept
inferno16–14-0.0114%2 Sept
anubis5–13-0.119%31 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 →