Fat Cat

Fat Cat — CS2 Stats

US76561198155548930[U:1:195283202]Steam profile ↗

824Tracked matches44%Win rate2020Tracked since
CSDB Rating3.4 Learning
Ladder ranks via Leetify

Performance scores

Aim28
Positioning37
Utility50

0–100 skill scores via Leetify.

Recent form

COLD41509Last 10041%Win rateLWLLLLTLLW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim2.8
Aggression5.8
Utility5.0
Positioning3.7
Opening Duels1.0

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 76% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.8
Positioning3.7
Utility5.0
Mechanics4.1
Opening Duels1.0
Win Impact3.1

Composite 3.4/10 (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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time655ms−9ms
first ⅓ avg 664ms → last ⅓ avg 655ms
Headshot accuracy8.3%−1.4%
first ⅓ avg 9.7% → last ⅓ avg 8.3%

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

0.12Best rating — dust2 13–7
130Biggest win — train
8Longest win streak
46In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheA22121055%-0.01
dust2D1541127%0.00
mirageC145936%0.00
infernoD81713%-0.01
nukeS86275%0.00
ancientC73443%-0.04
trainD51420%-0.02
vertigo42250%-0.03
anubis41325%-0.01
shelter31233%-0.03
warden32167%0.01
overpass3030%-0.01
office21150%-0.08
fachwerk110100%0.01
italy110100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno 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.

7.9%Headshot accuracy
31.3%Accuracy (enemy spotted)
31.1%Spray accuracy
68.3%Counter-strafing
11.1°Preaim
651msReaction time
31.8%T opening success
36.4%CT opening success
0.44Enemies flashed / flash
4.8%Flash assists
7.20HE damage / grenade
9.89Flashes / 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 Crosshair

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

    Headshot accuracy 7.9138% — below the 15% 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 0.4438 — 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 31.8358% — 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.

13% 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
mirage4–13-0.0311%19 Aug
dust213–70.1212%19 Aug
inferno2–13-0.0410%19 Aug
dust210–13-0.0313%17 Aug
mirage8–130.003%17 Aug
vertigo5–13-0.057%17 Aug
dust212–12-0.056%14 Aug
inferno6–13-0.053%14 Aug
dust26–13-0.0412%11 Aug
mirage13–80.0315%2 Aug
inferno5–13-0.0711%31 Jul
fachwerk13–10.017%25 Jul
shelter6–130.007%16 Jul
cache1–13-0.027%16 Jul
shelter10–13-0.083%16 Jul
mirage11–13-0.0014%10 Jul
shelter13–5-0.025%10 Jul
nuke13–6-0.007%8 Jul
cache13–50.018%5 Jul
anubis13–80.015%3 Jul
mirage13–40.084%3 Jul
cache13–60.026%2 Jul
cache13–90.028%2 Jul
vertigo13–10-0.055%1 Jul
anubis12–120.047%1 Jul
cache1–13-0.094%1 Jul
cache8–13-0.019%1 Jul
mirage12–120.036%30 Jun
ancient5–13-0.026%29 Jun
ancient13–11-0.0812%29 Jun
mirage9–13-0.0717%28 Jun
nuke8–13-0.0410%22 Jun
cache10–13-0.0212%22 Jun
dust27–13-0.039%22 Jun
cache9–13-0.0517%16 Jun
office13–9-0.0710%16 Jun
dust212–12-0.008%12 Jun
train8–13-0.100%11 Jun
inferno10–130.018%6 Jun
inferno5–130.006%30 May
mirage13–9-0.016%30 May
nuke2–13-0.067%30 May
ancient3–13-0.037%30 May
cache13–110.0213%30 May
mirage12–12-0.017%30 May
dust27–130.036%30 May
anubis12–12-0.004%30 May
cache13–90.008%29 May
anubis0–13-0.1010%27 May
cache3–0-0.010%27 May
cache4–13-0.1013%27 May
nuke13–10-0.029%26 May
cache7–130.0110%26 May
train13–00.123%26 May
nuke5–120.0310%25 May
warden13–8-0.086%25 May
office7–13-0.0811%25 May
dust212–12-0.0913%22 May
overpass7–130.0710%21 May
dust213–80.0414%21 May
ancient10–13-0.113%21 May
cache13–7-0.086%21 May
mirage10–13-0.045%21 May
cache13–60.0110%21 May
warden6–0-0.0112%21 May
cache13–40.0812%19 May
cache13–5-0.037%19 May
nuke8–00.1110%19 May
ancient7–130.0016%19 May
overpass1–13-0.0411%12 May
vertigo13–60.033%12 May
dust211–130.0014%11 May
mirage13–100.018%8 May
cache13–9-0.0311%8 May
warden11–130.114%8 May
mirage12–120.029%7 May
cache11–40.0213%6 May
vertigo6–13-0.0315%6 May
ancient11–10-0.0010%6 May
train11–130.0116%3 May
nuke13–100.0410%30 Apr
overpass6–13-0.067%30 Apr
cache8–130.019%29 Apr
cache11–13-0.008%29 Apr
cache6–13-0.085%29 Apr
train6–13-0.0915%28 Apr
ancient13–11-0.059%27 Apr
italy13–8-0.058%27 Apr
inferno7–130.038%27 Apr
inferno12–12-0.024%27 Apr
dust213–70.065%27 Apr
inferno13–90.1012%26 Apr
dust26–130.0214%26 Apr
dust210–130.004%26 Apr
mirage13–100.059%26 Apr
train8–13-0.0113%26 Apr
dust211–13-0.0116%26 Apr
dust213–10-0.0211%25 Apr
mirage10–130.019%23 Apr
nuke13–7-0.033%23 Apr

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 →