homewrecker69

homewrecker69 — CS2 Stats

AU76561198331552695[U:1:371286967]Steam profile ↗✓ No bans

518Tracked matches46%Win rate2020Tracked since
963Hours in CS10Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating24,886Top 25% of 212,695 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#24373 of 259586 tracked
FaceitLevel 8 · 1,182 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (2 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: 24,886 -1,072 11 Aug – 1 Nov · 27 days played
23,00226,240peak 26,24011 Aug1 Nov
26,462Peak Premier in tracked matches
1,182Highest Faceit ELO seen on CSDB
35Days played since 2026-08-11

Faceit ELO

  • At peak — 1,182
  • Next: Level 6 at 1,201 — 19 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,354 below peak (26,240)
  • +808 over 30 days · improving
  • -1,072 over 90 days
  • Next: Red band at 25,000 — 114 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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 Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate53.6%46.8%48.2%above
Shot accuracy8.1%13.0%13.2%5.1% short
Kill/death ratio1.191.061.07above
Match win rate46.2%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGhomewrecker69FACEITLevel 8 · 1,182 ELOSTANDINGTop 31.2% of rankedPREMIER24,886 · Pink bandPEAK ELO1,182csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82
Positioning72
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLWLTLLWWWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +3.3pp headshot accuracy · −2ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 567ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 541ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 542ms

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).

Aim8.2
Utility4.2
Positioning7.2
Opening Duels3.9
Clutch4.2

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

jL

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

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

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

Aim8.2
Positioning7.2
Utility4.2
Mechanics7.1
Opening Duels5.0
Win Impact3.8

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time542ms−4ms
first ⅓ avg 546ms → last ⅓ avg 542ms
Headshot accuracy21.1%−0.7%
first ⅓ avg 21.8% → last ⅓ avg 21.1%

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

0.26Best match rating · 13–1 · anubis, 12 Aug →
46%Best headshot accuracy · 13–2 · mirage, 14 Sept →
406msFastest reaction time · 13–9 · anubis, 10 Sept →
13–0Biggest win · anubis, 14 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 100% over 5nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB3516–1946%0.02
dust2A2816–1257%0.06
ancientB105–550%0.00
anubisA95–456%0.06
nukeD62–433%-0.01
cacheS55–0100%0.03
inferno—42–250%0.01
office—11–0100%0.14
boulder—10–10%0.04
train—11–0100%-0.01

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.

Lifetime stats

29,069Lifetime kills
1.19K/D · Top 25% of Level 8 players
1,221Matches
46.2%Match win rate
53.6%Headshot % · Top 25% of Level 8 players
8.1%Shot accuracy
4,008MVPs
819Hours (in match)
1,659Bombs planted
268Bombs defused

Most-used weapons

Lifetime map wins

4,726dust2
1,100inferno
324nuke
147train
130cbble
98office
59vertigo
38lake

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

Faceit stats

Combat

154Matches
55%Win rate
1.20Avg K/D
86.2ADR
49%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4953%1.1516.9
Anubis1968%1.4118.2
Dust21771%1.5321.6
Ancient1354%0.9316.9
Inferno475%1.5218.8
Cache3100%1.2817.7
Nuke250%1.0420.0
Overpass10%1.6528.0

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.

21.1%Headshot accuracy
36.4%Accuracy (enemy spotted)
36.2%Spray accuracy
82.1%Counter-strafing
8.7°Preaim
544msReaction time
48.4%T opening success
51.4%CT opening success
0.55Enemies flashed / flash
4.2%Flash assists
5.88HE damage / grenade
9.97Flashes / match

Recommended for you

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
mirage10–13-0.0224%1 Nov →
mirage13–60.0230%1 Nov →
nuke6–13-0.0013%26 Oct →
dust215–150.0225%26 Oct →
mirage9–130.0318%25 Oct →
mirage11–130.0118%25 Oct →
inferno13–70.0131%25 Oct →
dust213–110.0922%24 Oct →
anubis16–140.1021%24 Oct →
mirage5–130.0622%24 Oct →
nuke16–130.0116%17 Oct →
mirage13–40.0216%17 Oct →
mirage9–130.0120%10 Oct →
cache13–6-0.0120%10 Oct →
mirage9–130.0018%7 Oct →
dust213–70.0213%7 Oct →
dust212–12-0.0126%28 Sept →
nuke7–13-0.0425%25 Sept →
dust213–50.0211%25 Sept →
inferno7–130.0027%25 Sept →
nuke11–13-0.0522%19 Sept →
anubis11–13-0.0117%19 Sept →
mirage11–130.0217%14 Sept →
mirage13–20.0546%14 Sept →
mirage11–130.0416%14 Sept →
dust211–13-0.0116%14 Sept →
dust213–70.0723%14 Sept →
dust213–50.1726%13 Sept →
dust213–30.1431%12 Sept →
mirage5–130.0214%11 Sept →
ancient13–3-0.0028%10 Sept →
mirage10–130.0111%10 Sept →
cache13–80.0315%10 Sept →
anubis13–90.0811%10 Sept →
dust213–100.1321%10 Sept →
dust213–90.1321%9 Sept →
mirage8–130.0119%9 Sept →
dust27–13-0.0428%9 Sept →
mirage13–110.0513%9 Sept →
dust213–110.1320%8 Sept →
mirage11–13-0.0123%8 Sept →
cache13–80.0624%8 Sept →
inferno10–130.0124%8 Sept →
dust213–80.0221%7 Sept →
ancient13–7-0.0018%7 Sept →
mirage11–13-0.0016%7 Sept →
mirage13–20.0926%6 Sept →
dust213–90.0726%6 Sept →
dust213–70.1624%6 Sept →
office13–30.1435%6 Sept →
ancient7–130.0232%4 Sept →
dust213–60.1233%4 Sept →
dust29–130.0419%4 Sept →
ancient25–23-0.0016%29 Aug →
anubis7–13-0.037%29 Aug →
ancient13–90.0113%27 Aug →
dust29–130.0321%27 Aug →
mirage10–130.0720%27 Aug →
dust211–130.0422%27 Aug →
mirage13–30.0932%26 Aug →
dust213–110.0315%26 Aug →
nuke13–60.0114%26 Aug →
boulder6–130.0442%25 Aug →
dust213–80.1822%25 Aug →
ancient7–13-0.0215%23 Aug →
mirage11–13-0.0226%23 Aug →
mirage13–7-0.0320%23 Aug →
mirage13–70.0225%23 Aug →
mirage11–130.0223%23 Aug →
dust26–130.0123%22 Aug →
cache13–100.0216%22 Aug →
ancient6–130.0322%21 Aug →
mirage13–90.0522%19 Aug →
nuke6–13-0.0124%19 Aug →
anubis10–13-0.0121%19 Aug →
dust213–5-0.0023%18 Aug →
anubis11–130.0418%18 Aug →
mirage16–140.0227%18 Aug →
mirage13–60.0821%18 Aug →
mirage13–8-0.0125%17 Aug →
mirage13–3-0.0521%17 Aug →
inferno16–140.0127%17 Aug →
ancient3–130.0126%16 Aug →
mirage13–100.0016%16 Aug →
ancient13–11-0.0233%15 Aug →
ancient7–130.0011%15 Aug →
dust28–130.0322%15 Aug →
dust213–16-0.0219%14 Aug →
mirage15–15-0.0224%14 Aug →
mirage11–13-0.0626%14 Aug →
anubis13–00.0344%14 Aug →
mirage7–130.0511%14 Aug →
train13–11-0.0117%14 Aug →
dust210–130.0620%12 Aug →
anubis13–10.2623%12 Aug →
dust213–160.0213%12 Aug →
cache13–80.0416%12 Aug →
mirage13–11-0.0222%11 Aug →
anubis13–80.0918%11 Aug →
mirage13–110.0121%11 Aug →

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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