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Fatstacksyo — CS2 Stats

76561197981329782[U:1:21064054]✓ No bans

644Tracked matches17%Win rate2022Tracked since
CSDB Rating2.6 Learning
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim12
Positioning38
Utility52

0–100 skill scores via Leetify.

Recent form

COLD38–49–13Last 10038%Win rateLTLLLTLLTL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim1.2
Aggression3.1
Utility5.2
Positioning3.8
Opening Duels0.3

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 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Flashes. 1.05 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 707ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.2
Positioning3.8
Utility5.2
Mechanics3.7
Opening Duels1.0
Win Impact0.0

Composite 2.6/10 (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-0.05−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time695ms−19ms
first ⅓ avg 714ms → last ⅓ avg 695ms
Headshot accuracy11.2%+0.9%
first ⅓ avg 10.3% → last ⅓ avg 11.2%

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

0.22Best rating — train 13–1
13–1Biggest win — train
5Longest win streak
2–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

trainBest map · 67% over 6dust2Weakest map · 36% over 75
MapGradePlayedRecordWin rateAvg rating
dust2C7527–4836%-0.05
trainS64–267%-0.01
nukeA53–260%-0.06
cache—30–30%-0.05
inferno—30–30%-0.07
vertigo—32–167%-0.03
overpass—21–150%-0.00
mirage—21–150%0.01
anubis—10–10%-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 75). 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.

12.0%Headshot accuracy
24.3%Accuracy (enemy spotted)
26.8%Spray accuracy
66.5%Counter-strafing
13.4°Preaim
707msReaction time
24.6%T opening success
38.1%CT opening success
1.05Enemies flashed / flash
6.2%Flash assists
7.09HE damage / grenade
4.82Flashes / 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 13.3717° — 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 11.9517% — 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 706.66ms — above the 700ms mark we flag

    Aim Training →
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.

36% win rate across 75 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0710%18 Aug →
cache12–12-0.037%24 Jul →
dust23–13-0.084%23 Jul →
cache5–13-0.055%2 Jul →
dust210–13-0.0812%2 Apr →
dust212–12-0.0113%8 Mar →
dust210–13-0.049%5 Mar →
dust28–13-0.0616%1 Mar →
dust212–12-0.0616%1 Mar →
dust29–13-0.049%28 Feb →
dust29–130.0110%28 Feb →
dust26–13-0.1012%27 Feb →
dust26–13-0.0912%27 Feb →
dust213–8-0.0118%24 Feb →
dust210–13-0.0231%23 Feb →
dust213–6-0.0615%23 Feb →
dust26–13-0.039%22 Feb →
dust23–13-0.078%22 Feb →
dust24–13-0.046%22 Feb →
dust212–12-0.0112%21 Feb →
dust212–12-0.0811%16 Feb →
dust20–13-0.0810%15 Feb →
dust25–13-0.078%13 Feb →
dust213–10-0.0014%13 Feb →
dust212–12-0.0216%11 Feb →
dust24–13-0.046%9 Feb →
inferno8–13-0.130%8 Feb →
dust25–13-0.0119%8 Feb →
dust210–13-0.0518%8 Feb →
dust213–9-0.127%6 Feb →
dust210–13-0.079%6 Feb →
dust23–13-0.078%5 Feb →
dust213–30.0011%5 Feb →
dust213–10-0.0618%29 Jan →
dust213–9-0.0619%29 Jan →
inferno12–12-0.017%27 Jan →
dust210–13-0.0811%27 Jan →
dust29–13-0.0615%27 Jan →
dust212–12-0.0522%26 Jan →
dust213–9-0.0116%25 Jan →
dust216–13-0.0210%23 Jan →
nuke7–13-0.0213%23 Jan →
dust210–13-0.102%21 Jan →
dust212–120.0313%20 Jan →
dust213–7-0.0414%20 Jan →
dust213–10-0.0711%19 Jan →
dust213–7-0.0416%18 Jan →
dust213–6-0.0112%13 Jan →
dust213–9-0.018%13 Jan →
overpass14–16-0.0113%13 Jan →
nuke13–9-0.0815%13 Jan →
dust26–13-0.0614%12 Jan →
dust26–13-0.043%12 Jan →
dust213–7-0.036%12 Jan →
dust213–5-0.0211%12 Jan →
dust212–12-0.0816%12 Jan →
dust22–13-0.0814%12 Jan →
vertigo1–13-0.0612%11 Jan →
dust27–13-0.0713%11 Jan →
dust210–13-0.0310%11 Jan →
dust213–10-0.0811%11 Jan →
dust213–6-0.0512%10 Jan →
dust212–12-0.0611%10 Jan →
dust213–10-0.0113%9 Jan →
nuke3–13-0.124%8 Jan →
dust213–4-0.0211%8 Jan →
dust213–40.019%8 Jan →
nuke13–8-0.064%7 Jan →
nuke13–11-0.0218%7 Jan →
train13–7-0.065%7 Jan →
dust26–13-0.0022%7 Jan →
dust213–8-0.124%7 Jan →
dust212–12-0.089%7 Jan →
mirage13–100.0414%6 Jan →
train12–12-0.0510%6 Jan →
dust22–13-0.0510%6 Jan →
dust213–50.0110%6 Jan →
mirage13–16-0.0113%4 Jan →
dust211–13-0.0814%3 Jan →
vertigo13–4-0.026%3 Jan →
train13–10.2210%3 Jan →
dust213–6-0.0211%3 Jan →
inferno10–13-0.075%3 Jan →
anubis1–13-0.117%2 Jan →
train1–13-0.062%2 Jan →
overpass13–110.0111%2 Jan →
train13–1-0.068%2 Jan →
dust24–13-0.0811%2 Jan →
dust213–70.0016%2 Jan →
dust211–13-0.0612%1 Jan →
vertigo13–6-0.026%1 Jan →
train13–4-0.0611%1 Jan →
dust24–13-0.1214%1 Jan →
dust211–13-0.056%1 Jan →
dust28–13-0.026%31 Dec →
dust27–4-0.0814%31 Dec →
dust28–13-0.077%29 Dec →
dust28–13-0.068%29 Dec →
dust27–130.0417%29 Dec →
dust213–80.0118%28 Dec →

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 →

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