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fat but cute

fat but cute — CS2 Stats

76561197978021821[U:1:17756093]Steam profile ↗✓ No bans

325Tracked matches52%Win rate2023Tracked since
CSDB Rating5.1 DevelopingHybrid Rifler
FaceitLevel 6 · 1,314 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGfat but cuteFACEITLevel 6 · 1,314 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning57
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateTLWLWLLWWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1
Aggression5.4
Utility4.6
Positioning5.7
Opening Duels2.3
Clutch6.0

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 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 640ms 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

Aim6.1
Positioning5.7
Utility4.6
Mechanics7.9
Opening Duels2.3
Win Impact5.6

Composite 5.1/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time639ms+17ms
first ⅓ avg 622ms → last ⅓ avg 639ms
Headshot accuracy11.8%−0.4%
first ⅓ avg 12.2% → last ⅓ avg 11.8%

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

0.10Best rating — dust2 13–1
13–0Biggest win — vertigo
6Longest win streak
7–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 67% over 6overpassWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB157–847%-0.03
ancientB158–753%0.02
infernoB147–750%0.00
overpassC135–838%-0.02
mirageB137–654%0.01
anubisA106–460%0.02
dust2C94–544%0.01
trainS64–267%0.01
vertigo—33–0100%0.05
office—22–0100%0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

42Matches
57%Win rate
1.15Avg K/D
68.7ADR
40%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno560%1.3117.6
Ancient4100%1.4518.8
Nuke333%0.6811.0
Vertigo20%0.569.0
Mirage10%0.507.0
Dust21100%0.8511.0

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.

11.6%Headshot accuracy
36.4%Accuracy (enemy spotted)
36.4%Spray accuracy
85.5%Counter-strafing
10.4°Preaim
640msReaction time
34.1%T opening success
44.3%CT opening success
0.62Enemies flashed / flash
2.5%Flash assists
10.17HE damage / grenade
5.16Flashes / 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 11.6193% — below the 15% mark we flag

    Aim Training →
  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 34.1273% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–120.0311%4 Apr →
anubis5–13-0.0013%1 Apr →
office13–70.0515%19 Mar →
inferno8–13-0.039%17 Mar →
overpass13–4-0.008%12 Mar →
dust26–13-0.0113%7 Feb →
overpass6–13-0.048%7 Feb →
nuke16–14-0.079%7 Feb →
anubis13–20.065%31 Jan →
nuke8–13-0.1010%28 Jan →
nuke13–9-0.0213%28 Jan →
anubis5–13-0.0417%23 Jan →
anubis16–14-0.0113%23 Jan →
office13–100.0214%21 Jan →
inferno16–130.0411%17 Jan →
train13–100.0411%17 Jan →
dust27–13-0.0311%17 Jan →
train9–130.0418%17 Jan →
dust213–50.0414%7 Jan →
ancient3–13-0.0212%7 Jan →
overpass9–130.0111%4 Jan →
ancient13–10-0.0010%1 Jan →
overpass13–9-0.0513%1 Jan →
train13–5-0.037%1 Jan →
inferno9–13-0.039%31 Dec →
nuke10–13-0.069%31 Dec →
ancient13–60.0711%31 Dec →
anubis13–9-0.046%30 Dec →
mirage3–13-0.0116%30 Dec →
ancient12–160.0018%30 Dec →
ancient11–130.0320%29 Dec →
mirage13–60.0410%28 Dec →
inferno11–13-0.0514%28 Dec →
ancient13–40.0312%28 Dec →
dust215–15-0.0120%28 Dec →
inferno10–13-0.0122%28 Dec →
overpass5–13-0.088%28 Dec →
train16–13-0.0513%27 Dec →
nuke13–90.028%27 Dec →
vertigo13–30.0816%26 Dec →
train10–13-0.0111%26 Dec →
inferno13–70.1012%26 Dec →
mirage4–13-0.0113%25 Dec →
inferno10–13-0.039%25 Dec →
dust215–150.0414%24 Dec →
ancient4–130.0114%24 Dec →
mirage13–11-0.008%24 Dec →
ancient13–7-0.039%23 Dec →
mirage10–130.0611%23 Dec →
nuke8–13-0.0521%23 Dec →
nuke1–13-0.0411%23 Dec →
dust213–7-0.0223%23 Dec →
inferno13–40.0714%22 Dec →
vertigo13–100.0410%19 Dec →
dust29–130.0119%19 Dec →
nuke16–140.0421%19 Dec →
ancient13–90.0716%19 Dec →
nuke9–13-0.0219%16 Dec →
anubis13–100.1018%14 Dec →
anubis12–12-0.0212%14 Dec →
inferno13–10-0.0614%10 Dec →
anubis13–90.0414%9 Dec →
mirage6–13-0.104%9 Dec →
mirage13–60.0516%9 Dec →
overpass13–100.0311%4 Dec →
vertigo13–00.048%29 Nov →
ancient13–80.0111%27 Nov →
inferno13–4-0.0215%26 Nov →
ancient12–12-0.0214%26 Nov →
mirage13–70.018%25 Nov →
ancient12–120.078%24 Nov →
overpass11–13-0.065%23 Nov →
overpass9–130.0518%21 Nov →
nuke11–13-0.0215%21 Nov →
mirage13–11-0.0113%21 Nov →
inferno13–100.0714%21 Nov →
overpass13–5-0.0111%19 Nov →
nuke13–6-0.007%18 Nov →
mirage13–50.0716%18 Nov →
anubis13–110.0710%16 Nov →
inferno0–7-0.078%16 Nov →
ancient13–90.0616%16 Nov →
train13–80.0812%15 Nov →
mirage13–100.0516%14 Nov →
overpass11–13-0.0412%12 Nov →
nuke13–10-0.0612%12 Nov →
mirage3–130.0012%9 Nov →
nuke7–13-0.019%7 Nov →
ancient15–15-0.019%7 Nov →
inferno8–130.0013%7 Nov →
nuke13–11-0.0012%5 Nov →
dust213–4-0.0017%5 Nov →
inferno13–40.0912%3 Nov →
dust213–10.1011%30 Oct →
overpass7–13-0.058%27 Oct →
mirage8–13-0.069%27 Oct →
ancient13–20.0816%22 Oct →
nuke10–13-0.0114%21 Oct →
overpass13–90.0217%21 Oct →
overpass8–13-0.0315%19 Oct →

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 →

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