FatBud808 — CS2 Stats

76561199162173173[U:1:1201907445]✓ No bans

738Tracked matches54%Win rate2025Tracked since
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim47
Positioning37
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY464311Last 10046%Win rateLLWWTLLLWW

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

Player DNA

Aim4.7
Aggression0.5
Utility2.2
Positioning3.7
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-duel success, positioning profile.

Where you differ: lower opening-fight frequency; lower aim profile.

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

Reaction time. 617ms 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

Aim4.7
Positioning3.7
Utility2.2
Mechanics5.3
Opening Duels0.0
Win Impact6.2

Composite 3.9/10 (Learning), 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 rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time618ms−50ms
first ⅓ avg 668ms → last ⅓ avg 618ms
Headshot accuracy17.5%+4.4%
first ⅓ avg 13.1% → last ⅓ avg 17.5%

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

0.10Best rating — inferno 13–2
131Biggest win — mirage
7Longest win streak
L2Current streak
57In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 70% over 10dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD1651131%-0.04
cacheC167944%-0.05
overpassS107370%-0.02
ancientB105550%-0.02
vertigoB84450%-0.02
infernoC83538%-0.03
nukeD72529%-0.05
dust2D51420%-0.05
anubis43175%-0.04
alpine42250%0.00
train3030%-0.05
shelter32167%-0.05
fachwerk32167%-0.03
boulder330100%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). 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.

17.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
23.3%Spray accuracy
73.7%Counter-strafing
9.8°Preaim
617msReaction time
20.9%T opening success
12.4%CT opening success
0.33Enemies flashed / flash
2.5%Flash assists
9.21HE damage / grenade
0.88Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3268 — below the 0.5 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 20.8543% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo11–130.0021%28 Aug
mirage7–13-0.0112%27 Aug
vertigo13–9-0.079%26 Aug
cache13–10-0.0811%26 Aug
train12–12-0.0617%24 Aug
shelter5–13-0.1317%24 Aug
cache8–13-0.0813%23 Aug
mirage7–13-0.0721%23 Aug
anubis13–80.0020%22 Aug
mirage13–10-0.0224%22 Aug
mirage13–10.0114%22 Aug
cache4–13-0.0526%22 Aug
vertigo8–130.0114%22 Aug
inferno13–9-0.0415%20 Aug
anubis13–9-0.0614%19 Aug
mirage13–70.0112%19 Aug
overpass13–8-0.0519%18 Aug
ancient7–30.0613%18 Aug
ancient9–13-0.0521%16 Aug
nuke13–11-0.0424%16 Aug
mirage7–13-0.0125%16 Aug
overpass13–70.0217%15 Aug
dust21–13-0.098%15 Aug
mirage8–13-0.0515%14 Aug
cache13–80.0029%14 Aug
mirage12–12-0.0418%13 Aug
mirage8–13-0.1217%12 Aug
inferno4–13-0.0815%11 Aug
fachwerk13–6-0.0115%10 Aug
vertigo9–20.0123%10 Aug
cache12–12-0.0112%9 Aug
ancient13–10-0.0420%8 Aug
vertigo8–130.0224%8 Aug
dust27–13-0.0415%26 Jul
vertigo13–4-0.0316%26 Jul
cache11–13-0.0433%26 Jul
cache8–13-0.076%26 Jul
ancient12–12-0.0732%26 Jul
overpass13–8-0.0829%26 Jul
cache6–13-0.116%24 Jul
nuke11–13-0.0214%24 Jul
nuke12–12-0.0517%23 Jul
ancient12–12-0.0324%21 Jul
inferno13–4-0.014%21 Jul
overpass9–13-0.0414%18 Jul
cache12–12-0.028%18 Jul
boulder13–7-0.095%18 Jul
anubis12–12-0.105%16 Jul
boulder13–9-0.0220%16 Jul
inferno9–13-0.0413%16 Jul
nuke6–13-0.0424%14 Jul
train12–12-0.062%13 Jul
cache10–13-0.0721%13 Jul
shelter13–5-0.0810%13 Jul
overpass3–13-0.0014%12 Jul
ancient3–130.0218%12 Jul
nuke9–13-0.0013%12 Jul
fachwerk11–13-0.0415%11 Jul
dust213–4-0.0522%10 Jul
mirage13–9-0.0019%10 Jul
shelter13–50.0713%10 Jul
cache13–5-0.0524%9 Jul
fachwerk13–8-0.0422%9 Jul
boulder13–9-0.0314%9 Jul
cache13–11-0.0622%8 Jul
cache6–13-0.0912%8 Jul
vertigo4–13-0.0410%6 Jul
inferno13–20.1011%6 Jul
nuke13–1-0.0718%6 Jul
overpass5–13-0.0720%5 Jul
inferno11–13-0.0519%14 May
overpass13–110.0021%14 May
nuke6–13-0.104%13 May
inferno10–13-0.019%13 May
alpine12–12-0.039%13 May
ancient2–13-0.0811%12 May
dust23–13-0.057%12 May
inferno11–13-0.0914%12 May
dust28–13-0.0016%11 May
overpass13–7-0.0210%11 May
ancient16–13-0.0210%11 May
anubis13–9-0.0124%11 May
alpine13–80.0312%10 May
mirage4–13-0.099%10 May
mirage6–13-0.014%10 May
alpine12–12-0.038%9 May
vertigo13–10-0.076%9 May
cache13–6-0.0217%9 May
mirage6–13-0.076%9 May
cache13–8-0.0419%9 May
ancient16–14-0.0216%8 May
mirage11–13-0.108%8 May
overpass9–20.0623%7 May
train3–13-0.0421%7 May
mirage13–10-0.0411%6 May
ancient13–40.0616%6 May
cache13–8-0.0622%6 May
mirage7–13-0.058%6 May
alpine13–10.039%5 May
overpass13–110.0215%5 May

Match data via Leetify.

Recent teammates

Milestones

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