lard fat homer

lard fat homer — CS2 Stats

US76561198436159570[U:1:475893842]Steam profile ↗✓ No bans

322Tracked matches57%Win rate2021Tracked since
CSDB Rating6.4 SolidAll-Rounder
Premier CS Rating14,699Blue band · top ~30% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,699 +6,964 4 Jul – 3 Sept · 26 days played
6,17814,699peak 14,6994 Jul3 Sept
14,856Peak Premier in tracked matches
41Days played since 2025-07-04

Premier CS Rating

  • At peak — 14,699
  • +918 over 30 days · improving
  • Next: Purple band at 15,000 — 301 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGlard fat homerPREMIER14,699 · Blue bandcsdb.gg/stats

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Performance scores

Aim88
Positioning54
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWWLWLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −57ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 477ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 487ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 515ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.8
Utility5.1
Positioning5.4
Opening Duels5.3

Sharp aimerStrong T-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

m0NESY

Plays most like m0NESY 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 550ms 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

Aim8.8
Positioning5.4
Utility5.1
Mechanics8.0
Opening Duels3.1
Win Impact7.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.01
first ⅓ avg 0.05 → last ⅓ avg 0.05
Reaction time560ms−71ms
first ⅓ avg 632ms → last ⅓ avg 560ms
Headshot accuracy25.1%−0.9%
first ⅓ avg 25.9% → last ⅓ avg 25.1%

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

0.20Best match rating · 13–4 · inferno, 14 Aug →
57%Best headshot accuracy · 13–5 · mirage, 13 Jul →
359msFastest reaction time · 2–13 · inferno, 23 Nov →
13–0Biggest win · inferno, 3 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 73% over 11mirageWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%0.03
infernoC146–843%0.07
dust2B136–746%0.02
ancientB136–746%0.04
nukeS118–373%0.05
overpassA74–357%0.01
trainA74–357%0.04
anubis—42–250%0.01
office—32–167%-0.01
cache—21–150%0.08
grail—11–0100%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 25). Start with the 5 essential Mirage 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.

24.4%Headshot accuracy
38.9%Accuracy (enemy spotted)
40.7%Spray accuracy
86.0%Counter-strafing
9.7°Preaim
550msReaction time
41.4%T opening success
43.5%CT opening success
0.53Enemies flashed / flash
12.9%Flash assists
10.15HE damage / grenade
5.60Flashes / match

Recommended for you

Spend your practice time on Mirage

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

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–00.1330%3 Sept →
mirage13–110.0417%3 Sept →
nuke7–13-0.0126%3 Sept →
dust213–30.1326%3 Sept →
cache9–130.0119%28 Aug →
anubis13–8-0.0127%21 Aug →
ancient13–60.035%21 Aug →
dust24–13-0.0519%21 Aug →
mirage3–130.0128%14 Aug →
inferno13–40.2027%14 Aug →
nuke13–20.0228%14 Aug →
ancient13–40.0523%14 Aug →
ancient3–130.0227%14 Aug →
inferno13–80.0926%7 Aug →
mirage13–160.0227%4 Aug →
dust213–90.0432%4 Aug →
mirage14–160.1430%4 Aug →
ancient13–80.1222%3 Aug →
mirage4–13-0.1015%1 Aug →
cache13–80.1518%1 Aug →
anubis14–16-0.0223%1 Aug →
dust213–11-0.0518%1 Aug →
nuke13–60.0733%1 Aug →
nuke0–13-0.0120%1 Aug →
mirage1–130.0324%1 Aug →
mirage11–130.0427%1 Aug →
nuke13–00.0525%1 Aug →
inferno13–40.1732%31 Jul →
dust21–13-0.0138%14 Mar →
nuke13–10.0421%14 Mar →
mirage6–130.0935%15 Feb →
ancient5–70.0937%7 Feb →
inferno14–160.1222%7 Feb →
mirage13–110.0720%7 Feb →
nuke13–20.1529%7 Feb →
inferno9–13-0.0310%7 Feb →
nuke13–100.0522%30 Jan →
ancient12–160.0224%30 Jan →
mirage9–130.0830%23 Jan →
inferno13–80.0629%16 Jan →
nuke13–8-0.0232%16 Jan →
overpass8–13-0.0123%16 Jan →
mirage3–130.0232%16 Jan →
inferno11–130.0722%9 Jan →
mirage13–40.0516%9 Jan →
ancient12–120.0515%6 Jan →
mirage13–70.0719%6 Jan →
overpass13–80.0313%31 Dec →
ancient13–50.0327%27 Dec →
dust210–13-0.0223%20 Dec →
mirage15–150.0319%20 Dec →
train13–80.0230%13 Dec →
mirage9–13-0.0419%13 Dec →
overpass13–9-0.0119%5 Dec →
dust215–150.0524%29 Nov →
overpass13–9-0.0327%29 Nov →
mirage13–50.0226%28 Nov →
inferno2–13-0.0233%23 Nov →
train13–20.0227%23 Nov →
dust29–13-0.0024%23 Nov →
overpass6–13-0.0727%23 Nov →
dust213–10-0.0243%23 Nov →
inferno9–13-0.0018%23 Nov →
mirage13–11-0.0417%23 Nov →
dust213–60.0132%23 Nov →
mirage16–130.0223%8 Nov →
inferno13–8-0.0442%31 Oct →
mirage13–90.1021%17 Oct →
ancient13–20.0227%12 Oct →
train13–70.0714%10 Oct →
overpass12–120.1620%3 Oct →
train13–80.0935%3 Oct →
office2–13-0.0325%3 Oct →
office13–50.0924%3 Oct →
overpass13–60.0326%24 Sept →
mirage10–13-0.0033%31 Aug →
grail13–110.0827%31 Aug →
office3–5-0.1014%31 Aug →
mirage8–130.0535%31 Aug →
inferno10–130.0443%31 Aug →
mirage10–130.0427%31 Aug →
ancient13–11-0.0617%29 Aug →
ancient11–130.0720%23 Aug →
dust213–70.0935%23 Aug →
inferno6–130.0620%15 Aug →
mirage8–130.0723%25 Jul →
train7–130.0324%16 Jul →
train11–13-0.0124%13 Jul →
ancient4–130.0539%13 Jul →
mirage13–5-0.0357%13 Jul →
anubis13–100.1015%13 Jul →
dust27–130.005%13 Jul →
nuke8–130.0324%13 Jul →
train9–130.0526%11 Jul →
mirage6–40.0024%11 Jul →
dust29–130.1023%11 Jul →
anubis5–13-0.0116%11 Jul →
inferno7–130.0925%11 Jul →
nuke13–50.1645%11 Jul →
ancient1–130.0820%4 Jul →

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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