fatroach — CS2 Stats

76561198444773932[U:1:484508204]✓ No bans

418Tracked matches55%Win rate2020Tracked since
568Hours in CS4Hrs last 2 wks
CSDB Rating5.3 Developing
Premier CS Rating20,992Pink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#4996 of 12628 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGfatroachFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,992 · Pink bandcsdb.gg/stats

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Performance scores

Aim48
Positioning60
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48457Last 10048%Win rateWLWLWLLLWL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim4.8
Aggression9.1
Utility5.5
Positioning6.0
Opening Duels4.1
Clutch5.0

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

device

Plays most like device 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning6.0
Utility5.5
Mechanics4.2
Opening Duels4.1
Win Impact6.7

Composite 5.3/10 (Developing), 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+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time603ms+6ms
first ⅓ avg 597ms → last ⅓ avg 603ms
Headshot accuracy19.7%+2.2%
first ⅓ avg 17.5% → last ⅓ avg 19.7%

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

0.14Best rating — cache 10–13
130Biggest win — ancient
6Longest win streak
108In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 69% over 13infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheA1710759%0.01
anubisD1551033%-0.01
nukeS139469%0.00
dust2A106460%-0.01
ancientB105550%-0.03
infernoD82625%-0.01
mirageC83538%0.00
trainD62433%-0.01
vertigo42250%0.01
shelter42250%-0.05
office41325%0.03
fachwerk110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,704Lifetime kills
1.08K/D · Top 50% of Pink band
968Matches
50.3%Match win rate · Top 25% of Pink band
47.0%Headshot %
13.1%Shot accuracy · Top 50% of Pink band
2,055MVPs
366Hours (in match)
556Bombs planted
157Bombs defused

Most-used weapons

Lifetime map wins

1,436dust2
863nuke
778inferno
284vertigo
210train
202office
18safehouse
15lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

36Matches
53%Win rate
1.19Avg K/D
86.4ADR
47%Headshot %

Clutches & streaks

45%1v1 clutch win
9%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis757%0.9314.6
Ancient683%1.3321.0
Inferno650%1.2020.8
Cache540%1.8618.2
Nuke475%1.0616.5
Mirage425%0.9315.3
Dust2425%0.9415.8

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.

19.0%Headshot accuracy
31.7%Accuracy (enemy spotted)
30.7%Spray accuracy
68.7%Counter-strafing
10.9°Preaim
606msReaction time
35.8%T opening success
57.2%CT opening success
0.60Enemies flashed / flash
5.5%Flash assists
11.85HE damage / grenade
8.43Flashes / 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 35.8037% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–50.0116%23 Aug
inferno1–6-0.0717%22 Aug
nuke13–110.0014%21 Aug
dust29–13-0.0217%18 Aug
train13–20.0529%18 Aug
inferno0–40.0225%17 Aug
train8–13-0.0420%15 Aug
cache10–130.0025%15 Aug
nuke13–60.0313%15 Aug
train10–130.0320%14 Aug
vertigo12–120.0024%12 Aug
nuke13–90.0514%11 Aug
inferno9–13-0.0211%11 Aug
cache16–120.038%11 Aug
train11–13-0.0618%6 Aug
ancient13–6-0.0814%5 Aug
mirage13–8-0.0117%5 Aug
anubis11–13-0.0121%5 Aug
nuke13–80.0823%4 Aug
dust213–9-0.0119%3 Aug
mirage5–13-0.0626%3 Aug
nuke13–110.0021%3 Aug
cache13–10-0.0113%3 Aug
cache13–10-0.0623%2 Aug
dust213–2-0.0214%2 Aug
cache10–130.1429%1 Aug
dust213–110.0021%31 Jul
cache4–130.0430%31 Jul
ancient8–130.0412%30 Jul
vertigo13–100.0427%29 Jul
vertigo13–60.0720%29 Jul
cache13–90.0627%29 Jul
nuke13–11-0.0426%28 Jul
anubis0–4-0.100%26 Jul
cache2–8-0.0423%26 Jul
dust211–13-0.0914%26 Jul
cache13–11-0.0314%26 Jul
mirage13–110.0319%26 Jul
shelter8–13-0.0423%26 Jul
anubis13–30.0920%26 Jul
office11–13-0.0511%26 Jul
nuke13–11-0.0214%26 Jul
inferno16–13-0.0119%25 Jul
mirage13–20.0315%25 Jul
ancient13–11-0.0314%25 Jul
anubis7–13-0.0319%25 Jul
cache2–6-0.069%25 Jul
nuke12–12-0.0024%25 Jul
dust213–30.0726%25 Jul
anubis7–13-0.0321%25 Jul
anubis13–60.0421%25 Jul
dust213–11-0.0316%25 Jul
ancient16–12-0.0126%25 Jul
dust213–9-0.0023%24 Jul
cache13–100.0118%24 Jul
ancient13–0-0.047%24 Jul
nuke3–130.0224%23 Jul
cache5–13-0.0718%23 Jul
inferno10–13-0.0121%23 Jul
anubis13–10-0.0322%23 Jul
anubis11–130.0321%22 Jul
anubis9–130.0319%22 Jul
anubis5–13-0.0145%22 Jul
dust211–130.0017%21 Jul
inferno1–130.0118%21 Jul
office12–120.0716%21 Jul
nuke13–110.0124%20 Jul
anubis13–6-0.0116%20 Jul
mirage2–130.0220%20 Jul
ancient9–13-0.0617%19 Jul
nuke10–13-0.0914%19 Jul
shelter12–12-0.0716%19 Jul
cache12–12-0.0219%19 Jul
anubis11–13-0.0021%19 Jul
inferno12–12-0.0125%18 Jul
ancient5–13-0.0226%18 Jul
anubis5–13-0.0517%18 Jul
cache13–10-0.0212%16 Jul
ancient4–13-0.0323%16 Jul
mirage9–130.0234%15 Jul
nuke13–9-0.0315%15 Jul
shelter13–8-0.0726%15 Jul
vertigo3–13-0.0825%15 Jul
cache13–20.0424%14 Jul
shelter13–4-0.0419%14 Jul
ancient13–8-0.039%14 Jul
fachwerk13–3-0.0110%14 Jul
nuke12–12-0.0013%14 Jul
ancient6–13-0.0716%14 Jul
anubis13–3-0.058%14 Jul
inferno13–10-0.0120%14 Jul
cache12–10.0918%13 Jul
train1–13-0.0628%13 Jul
train13–10.0319%12 Jul
office5–60.039%12 Jul
office13–70.0615%12 Jul
mirage5–130.0019%12 Jul
dust27–13-0.0310%12 Jul
mirage9–13-0.028%11 Jul
anubis2–13-0.0210%11 Jul

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 →