FatGuyInaLittleCoat

FatGuyInaLittleCoat — CS2 Stats

US76561198036488888[U:1:76223160]Steam profile ↗✓ No bans

1,117Tracked matches61%Win rate2024Tracked since
1,476Hours in CS68Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating19,132Top 50% of 205,416 CSDB-tracked playersPurple band · top ~12% of ranked players (population est.)
CSDB Leaderboard#94519 of 252602 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+96Premier CS Rating · 19,036 → 19,132

Rating over time

Premier CS Rating: 19,132 +1,858 28 Aug – 17 Oct · 30 days played
16,13819,132peak 19,13228 Aug17 Oct
19,186Peak Premier in tracked matches
28Days played since 2026-08-28

Premier CS Rating

  • At peak — 19,132
  • +2,994 over 30 days · improving
  • Next: Pink band at 20,000 — 868 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate36.7%44.3%46.9%10.3% short
Shot accuracy0.1%11.9%13.0%12.9% short
Kill/death ratio0.951.031.080.13 short
Match win rate48.3%45.2%46.7%above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFatGuyInaLittleCoatPREMIER19,132 · Purple bandcsdb.gg/stats

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Performance scores

Aim44
Positioning68
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateTWLWWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +0.5pp headshot accuracy · −78ms reaction

Win rate +10pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 544ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 583ms

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 (+2.3 against its own average).

Aim4.4
Utility4.8
Positioning6.8
Opening Duels5.4
Clutch1.0

Strong CT-side opener

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

s1mple

Plays most like s1mple 66% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 596ms 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

Aim4.4
Positioning6.8
Utility4.8
Mechanics4.1
Opening Duels7.2
Win Impact8.6

Composite 5.6/10 (Solid), 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 rating0.00−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time589ms+34ms
first ⅓ avg 555ms → last ⅓ avg 589ms
Headshot accuracy18.9%+1.7%
first ⅓ avg 17.2% → last ⅓ avg 18.9%

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

0.19Best match rating · 13–10 · dust2, 20 Sept →
39%Best headshot accuracy · 8–13 · mirage, 10 Oct →
375msFastest reaction time · 6–13 · ancient, 17 Oct →
13–0Biggest win · ancient, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 73% over 11infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%0.02
nukeB1910–953%0.01
mirageS1711–665%0.02
ancientS128–467%0.00
infernoD124–833%0.00
cacheS118–373%0.03
anubisA85–363%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,170Lifetime kills
0.95K/D
2,258Matches
48.3%Match win rate · Top 25% of Purple band
36.7%Headshot %
0.1%Shot accuracy
3,322MVPs
824Hours (in match)
1,797Bombs planted
369Bombs defused

Most-used weapons

Lifetime map wins

5,040dust2
2,513nuke
1,803inferno
1,000vertigo
432office
418italy
362train
21cbble

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

Faceit stats

Combat

11Matches
9%Win rate
0.71Avg K/D
69.8ADR
38%Headshot %

Clutches & streaks

25%1v1 clutch win
11%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage50%0.466.8
Dust2333%1.3321.3
Nuke20%0.467.5
Ancient10%0.5610.0

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.

18.9%Headshot accuracy
30.3%Accuracy (enemy spotted)
28.6%Spray accuracy
68.5%Counter-strafing
11.0°Preaim
596msReaction time
54.9%T opening success
62.9%CT opening success
0.46Enemies flashed / flash
8.0%Flash assists
6.07HE damage / grenade
6.73Flashes / 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. 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 0.4582 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0119%17 Oct →
ancient13–80.069%17 Oct →
ancient6–13-0.0216%17 Oct →
inferno13–110.1018%16 Oct →
inferno13–80.0329%14 Oct →
cache13–50.1112%13 Oct →
dust211–130.0128%13 Oct →
anubis13–30.0724%13 Oct →
mirage13–11-0.0724%13 Oct →
dust214–160.0419%13 Oct →
nuke15–15-0.0910%12 Oct →
cache13–20.0224%12 Oct →
nuke9–13-0.0224%12 Oct →
dust28–13-0.0821%11 Oct →
nuke13–100.018%11 Oct →
cache13–80.0014%11 Oct →
nuke13–11-0.0713%10 Oct →
nuke8–130.0516%10 Oct →
dust213–70.0222%10 Oct →
mirage8–13-0.0239%10 Oct →
anubis7–13-0.0313%10 Oct →
dust213–7-0.0313%9 Oct →
nuke13–160.0118%9 Oct →
dust216–140.0426%8 Oct →
anubis13–90.0120%8 Oct →
dust213–80.0419%7 Oct →
ancient13–90.0116%6 Oct →
nuke13–50.0918%6 Oct →
nuke8–13-0.0328%6 Oct →
dust29–13-0.058%6 Oct →
dust213–110.0124%6 Oct →
mirage8–13-0.0915%5 Oct →
nuke11–13-0.0316%5 Oct →
anubis15–150.0514%4 Oct →
ancient16–14-0.049%4 Oct →
nuke13–60.0233%4 Oct →
nuke13–10.116%4 Oct →
inferno5–13-0.0620%4 Oct →
nuke5–13-0.0217%4 Oct →
mirage13–9-0.019%4 Oct →
inferno6–130.0516%3 Oct →
anubis16–140.0611%3 Oct →
mirage13–110.0128%2 Oct →
dust213–40.0115%2 Oct →
ancient7–13-0.0228%2 Oct →
mirage13–100.0615%2 Oct →
dust29–13-0.0316%2 Oct →
mirage13–90.0415%1 Oct →
inferno13–110.0224%1 Oct →
cache13–9-0.0214%1 Oct →
cache15–15-0.0218%30 Sept →
dust26–130.0216%30 Sept →
anubis13–70.0715%30 Sept →
cache13–60.0419%30 Sept →
mirage11–130.0610%30 Sept →
cache9–130.0416%30 Sept →
mirage9–13-0.0216%30 Sept →
cache7–130.0611%29 Sept →
mirage13–100.1014%29 Sept →
mirage13–50.0519%29 Sept →
ancient13–9-0.0317%28 Sept →
anubis8–13-0.087%27 Sept →
inferno5–13-0.0710%27 Sept →
dust28–13-0.0212%27 Sept →
ancient6–13-0.0418%27 Sept →
ancient13–30.0313%27 Sept →
nuke10–130.0021%27 Sept →
mirage13–100.0721%25 Sept →
dust213–160.0318%25 Sept →
dust211–130.0815%25 Sept →
ancient13–80.0215%25 Sept →
nuke8–130.0010%24 Sept →
inferno2–13-0.0513%24 Sept →
anubis13–90.0614%24 Sept →
mirage15–15-0.0311%24 Sept →
ancient13–00.0724%24 Sept →
mirage13–30.0419%24 Sept →
nuke13–50.0419%23 Sept →
dust213–50.0912%22 Sept →
nuke10–20.0011%22 Sept →
inferno7–13-0.0217%22 Sept →
inferno11–13-0.0315%22 Sept →
dust213–90.1122%22 Sept →
mirage13–70.0314%22 Sept →
inferno13–50.0421%22 Sept →
ancient13–80.0116%22 Sept →
dust29–130.0518%22 Sept →
cache13–40.0116%20 Sept →
cache13–9-0.018%20 Sept →
ancient5–13-0.0330%20 Sept →
inferno8–130.0115%20 Sept →
mirage13–80.0215%20 Sept →
dust213–100.1925%20 Sept →
nuke13–80.0816%20 Sept →
nuke13–110.0618%19 Sept →
inferno11–130.0125%19 Sept →
cache13–40.1118%19 Sept →
mirage14–160.0511%18 Sept →
nuke13–90.0229%18 Sept →
dust216–140.0019%17 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.