Fatboy

Fatboy — CS2 Stats

76561198170877917[U:1:210612189]Steam profile ↗✓ No bans

1,195Tracked matches58%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,372 +2,960 27 Mar – 23 Jun · 20 days played
7,29110,497peak 10,49727 Mar23 Jun
10,822Peak Premier in tracked matches
44Days played since 2026-03-27

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGFatboyFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning37
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateTLWLWWWLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · +43ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 597ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 618ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim5.2
Utility3.1
Positioning3.7
Opening Duels1.0

Strong CT-side openerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 92% 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. 644ms 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

Aim5.2
Positioning3.7
Utility3.1
Mechanics6.6
Opening Duels2.4
Win Impact7.6

Composite 4.8/10 (Developing), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time649ms−36ms
first ⅓ avg 684ms → last ⅓ avg 649ms
Headshot accuracy13.5%+1.9%
first ⅓ avg 11.6% → last ⅓ avg 13.5%

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.

Personal bests

0.16Best match rating · 13–0 · inferno, 1 Apr →
30%Best headshot accuracy · 6–13 · dust2, 27 Mar →
477msFastest reaction time · 13–10 · office, 21 Sept →
13–0Biggest win · inferno, 1 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 71% over 7nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%-0.02
infernoS1711–665%0.02
mirageB147–750%0.00
cacheC104–640%-0.02
officeC83–538%-0.01
ancientS75–271%0.01
nukeD62–433%-0.03
overpassS64–267%0.00
vertigo—42–250%0.01
anubis—32–167%-0.05
fachwerk—10–10%-0.07
boulder—10–10%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke 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.

13.7%Headshot accuracy
30.1%Accuracy (enemy spotted)
44.3%Spray accuracy
79.8%Counter-strafing
11.4°Preaim
644msReaction time
35.1%T opening success
43.8%CT opening success
0.41Enemies flashed / flash
3.7%Flash assists
9.56HE damage / grenade
1.98Flashes / 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 13.7018% — 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 0.4132 — 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 35.13% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–12-0.0117%30 Oct →
mirage7–13-0.028%25 Oct →
dust216–130.017%21 Oct →
mirage7–13-0.0111%19 Oct →
cache13–4-0.0519%19 Oct →
mirage13–5-0.0416%17 Oct →
inferno13–70.1120%13 Oct →
dust213–16-0.0016%9 Oct →
dust213–11-0.0514%7 Oct →
nuke11–13-0.0320%7 Oct →
mirage13–90.0614%5 Oct →
ancient9–40.0614%5 Oct →
office13–10-0.026%21 Sept →
office12–120.0223%14 Aug →
anubis13–8-0.078%6 Aug →
inferno13–60.0618%24 Jul →
dust210–13-0.0613%21 Jul →
fachwerk12–12-0.079%15 Jul →
boulder9–13-0.078%15 Jul →
dust29–130.0529%12 Jul →
mirage13–4-0.0028%12 Jul →
inferno13–100.088%23 Jun →
office5–13-0.157%19 Jun →
dust23–13-0.1210%19 Jun →
mirage16–13-0.037%19 Jun →
overpass13–60.0423%9 Jun →
dust213–8-0.086%5 Jun →
dust28–13-0.0514%5 Jun →
inferno9–13-0.0411%5 Jun →
inferno15–15-0.0216%3 Jun →
overpass5–13-0.155%3 Jun →
ancient6–13-0.0417%3 Jun →
nuke5–13-0.098%3 Jun →
overpass16–130.0413%3 Jun →
dust215–150.0122%3 Jun →
dust213–11-0.0411%29 May →
cache13–11-0.0313%22 May →
cache7–13-0.0323%21 May →
cache9–13-0.039%21 May →
cache7–130.0114%20 May →
cache7–13-0.0211%19 May →
cache13–50.0321%19 May →
ancient16–14-0.067%13 May →
cache13–2-0.089%12 May →
vertigo5–9-0.058%29 Apr →
inferno13–90.0419%29 Apr →
vertigo9–70.1118%29 Apr →
cache12–120.039%29 Apr →
cache7–13-0.076%29 Apr →
office10–13-0.019%28 Apr →
inferno13–110.015%28 Apr →
office13–60.0618%28 Apr →
ancient8–13-0.0210%28 Apr →
inferno13–90.0113%27 Apr →
inferno3–13-0.0414%27 Apr →
mirage13–10-0.0114%26 Apr →
inferno13–6-0.0210%26 Apr →
overpass8–13-0.0711%26 Apr →
mirage13–100.0814%26 Apr →
dust213–110.0917%26 Apr →
dust213–70.0213%26 Apr →
nuke7–13-0.0611%25 Apr →
dust213–7-0.0115%25 Apr →
inferno13–90.046%25 Apr →
mirage10–13-0.0311%25 Apr →
dust210–130.099%24 Apr →
dust213–3-0.067%24 Apr →
dust213–11-0.0319%23 Apr →
nuke13–7-0.0113%23 Apr →
mirage13–20.096%23 Apr →
ancient13–80.0511%23 Apr →
ancient13–40.055%23 Apr →
overpass13–110.0710%22 Apr →
office13–60.054%22 Apr →
dust26–13-0.0410%22 Apr →
dust213–7-0.0012%12 Apr →
vertigo13–60.019%10 Apr →
mirage3–130.0415%10 Apr →
office8–130.0214%10 Apr →
mirage8–130.013%10 Apr →
ancient13–100.0114%10 Apr →
dust211–13-0.0714%10 Apr →
dust28–130.0111%10 Apr →
inferno13–100.027%10 Apr →
inferno13–60.1416%3 Apr →
anubis12–16-0.037%3 Apr →
nuke13–4-0.0016%2 Apr →
inferno10–13-0.037%2 Apr →
inferno13–00.1616%1 Apr →
dust211–13-0.0513%30 Mar →
vertigo8–13-0.034%30 Mar →
office11–13-0.0324%28 Mar →
inferno2–9-0.170%28 Mar →
mirage7–13-0.0512%27 Mar →
overpass13–50.098%27 Mar →
mirage4–13-0.0619%27 Mar →
dust27–130.009%27 Mar →
anubis13–10-0.0613%27 Mar →
nuke11–130.0212%27 Mar →
dust26–130.0230%27 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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