homeless

homeless — CS2 Stats

76561199199811627[U:1:1239545899]Steam profile ↗✓ No bans

1,045Tracked matches40%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 10 · 2,395 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGhomelessFACEITLevel 10 · 2,395 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning56
Utility36

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLLWLWLLLLW

Last 10 vs previous 10: −10pp win rate · +0.05 avg rating · +0.6pp headshot accuracy · +85ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 623ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 653ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 611ms

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 (+1.3 against its own average).

Aim7.3
Utility3.6
Positioning5.6
Opening Duels4.8
Clutch3.2

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

donk

Plays most like donk 96% playstyle similarity

Most alike: opening-duel success, aim profile.

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

Areas to improve

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

T-side openings. Opening success drops from 57% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim7.3
Positioning5.6
Utility3.6
Mechanics6.8
Opening Duels3.8
Win Impact1.7

Composite 5.4/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time610ms+69ms
first ⅓ avg 540ms → last ⅓ avg 610ms
Headshot accuracy20.0%−1.4%
first ⅓ avg 21.4% → last ⅓ avg 20.0%

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

0.22Best match rating · 9–1 · whistle, 20 Nov →
67%Best headshot accuracy · 9–3 · palais, 19 Nov →
391msFastest reaction time · 11–13 · vertigo, 1 Nov →
9–0Biggest win · palais, 20 Nov →

Across the last 100 tracked matches.

Highlights

13Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

palaisBest map · 100% over 8dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2214–864%0.03
anubisB168–850%-0.01
ancientD134–931%-0.02
infernoD113–827%-0.02
nukeB84–450%0.01
dust2D81–713%-0.04
palaisS88–0100%0.06
vertigoC52–340%-0.08
whistle—33–0100%0.00
train—21–150%-0.01
overpass—21–150%0.03
brewery—10–10%-0.06
assembly—11–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,154Matches
51%Win rate
1.06Avg K/D
76.7ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage22851%1.0815.9
Anubis10550%1.0815.8
Ancient10253%1.0315.1
Dust25536%0.9213.9
Inferno4840%0.9514.9
Nuke3241%0.9213.4
Vertigo2045%1.0316.0
Train1979%1.1816.3

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.

20.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.4%Spray accuracy
80.6%Counter-strafing
8.0°Preaim
605msReaction time
32.9%T opening success
57.2%CT opening success
0.65Enemies flashed / flash
3.5%Flash assists
6.10HE damage / grenade
8.08Flashes / 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

    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 32.8636% — below the 40% mark we flag

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.

13% win rate across 8 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
mirage9–130.0816%27 May →
nuke13–160.0027%9 May →
anubis13–10-0.0115%2 May →
dust29–13-0.0321%1 May →
inferno13–70.0716%1 May →
mirage11–130.0818%4 Mar →
dust29–13-0.0221%1 Mar →
mirage5–13-0.0213%27 Feb →
ancient5–13-0.0135%27 Feb →
inferno13–70.0327%4 Jan →
dust23–13-0.108%1 Jan →
train13–11-0.0428%27 Nov →
ancient4–13-0.0821%26 Nov →
mirage13–7-0.0012%25 Nov →
mirage16–190.0214%24 Nov →
dust213–8-0.0021%31 Oct →
inferno1–13-0.0426%31 Oct →
vertigo9–60.0213%26 Sept →
brewery6–9-0.0619%25 Sept →
nuke11–13-0.0239%18 Sept →
mirage13–10-0.0317%17 Sept →
nuke9–70.0118%30 May →
inferno7–13-0.0414%27 May →
anubis11–13-0.1011%27 May →
ancient13–100.0614%13 May →
mirage16–13-0.0214%28 Apr →
ancient10–13-0.0125%10 Apr →
mirage13–8-0.0416%7 Apr →
anubis19–170.0322%2 Apr →
ancient4–13-0.0312%1 Apr →
ancient12–16-0.0027%29 Mar →
dust24–13-0.0232%22 Mar →
ancient13–60.0429%21 Mar →
dust25–13-0.0640%21 Mar →
nuke10–130.0015%10 Mar →
inferno9–30.0619%4 Mar →
anubis13–9-0.0112%11 Dec →
dust225–28-0.068%7 Dec →
mirage1–13-0.0236%7 Dec →
ancient9–13-0.0524%7 Dec →
vertigo13–11-0.0223%4 Dec →
mirage9–130.0126%3 Dec →
ancient1–11-0.1138%3 Dec →
anubis6–13-0.0420%27 Nov →
mirage13–80.0917%27 Nov →
anubis13–9-0.0222%26 Nov →
palais9–6-0.0224%20 Nov →
palais9–10.1531%20 Nov →
palais9–20.1421%20 Nov →
palais9–70.1035%20 Nov →
palais9–30.0132%20 Nov →
whistle9–10.2237%20 Nov →
whistle9–1-0.1213%20 Nov →
palais9–00.1431%20 Nov →
whistle9–4-0.0919%19 Nov →
palais9–7-0.0343%19 Nov →
palais9–30.0267%19 Nov →
train11–120.0110%14 Nov →
anubis16–19-0.0017%14 Nov →
anubis6–13-0.0328%13 Nov →
dust29–13-0.0212%5 Nov →
vertigo5–9-0.2623%1 Nov →
nuke9–5-0.0226%1 Nov →
assembly9–30.0112%1 Nov →
nuke9–10.0419%1 Nov →
inferno8–8-0.1331%1 Nov →
ancient4–13-0.0225%1 Nov →
vertigo11–13-0.0634%1 Nov →
anubis13–100.0218%26 Oct →
anubis13–70.0718%15 Oct →
anubis5–130.0520%14 Oct →
mirage13–100.0216%11 Oct →
mirage7–13-0.0419%10 Oct →
mirage13–90.0224%10 Oct →
anubis16–14-0.0214%10 Oct →
ancient13–11-0.0218%8 Oct →
mirage16–130.1116%8 Oct →
anubis1–13-0.064%8 Oct →
overpass9–10.1420%7 Oct →
inferno16–19-0.0515%29 Sept →
mirage13–110.1119%23 Sept →
anubis4–13-0.0439%5 Mar →
nuke13–40.0424%3 Mar →
mirage13–11-0.0219%3 Mar →
mirage13–70.0014%3 Mar →
inferno3–13-0.0622%2 Mar →
mirage16–130.0924%2 Mar →
anubis7–13-0.0312%28 Feb →
mirage11–130.0330%28 Feb →
mirage13–90.0625%28 Feb →
nuke5–130.0518%28 Feb →
anubis13–70.0635%28 Feb →
inferno11–130.1236%27 Feb →
ancient13–10-0.016%26 Feb →
mirage13–70.0730%25 Feb →
ancient7–13-0.0041%26 Jan →
overpass5–13-0.0817%29 Dec →
inferno3–13-0.0824%17 Dec →
vertigo7–13-0.0821%17 Dec →
inferno6–13-0.0618%11 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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