ph0cuz

ph0cuz — CS2 Stats

76561198155666948[U:1:195401220]Steam profile ↗✓ No bans

3,783Tracked matches50%Win rate2022Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating20,740Top 50% of 180,525 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#64490 of 224748 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 15 days played since 24 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,740 +3,758 24 Aug16 Sept · 15 days played
15,43322,684peak 22,68424 Aug16 Sept
23,335Peak Premier in tracked matches
15Days played since 2026-08-24

Premier CS Rating

  • 1,944 below peak (22,684)
  • +3,758 over 30 days · improving
  • Next: Red band at 25,000 4,260 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGph0cuzPREMIER20,740 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning52
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY58411Last 10058%Win rateWLLWWLLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −7.2pp headshot accuracy · −90ms 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

  • 32 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 600ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 603ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 648ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim8.1
Utility3.1
Positioning5.2
Opening Duels4.1
Clutch3.2

Limited 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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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.

Reaction time. 609ms 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

Aim8.1
Positioning5.2
Utility3.1
Mechanics7.1
Opening Duels4.2
Win Impact5.0

Composite 6.0/10 (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 rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time629ms+9ms
first ⅓ avg 620ms → last ⅓ avg 629ms
Headshot accuracy22.9%+0.4%
first ⅓ avg 22.5% → last ⅓ avg 22.9%

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

0.12Best match rating · 13–4 · nuke, 3 Sept
57%Best headshot accuracy · 7–13 · dust2, 4 Sept
422msFastest reaction time · 6–13 · anubis, 3 Sept
13–0Biggest win · anubis, 6 Sept

Across the last 100 tracked matches.

Highlights

12Longest win streak
146In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 82% over 17infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B35191654%-0.02
nukeS1714382%-0.01
anubisS1410471%-0.02
infernoD123925%-0.01
mirageA95456%-0.01
ancientD72529%-0.04
cacheS54180%-0.02
overpass110100%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

294Matches
51%Win rate
0.99Avg K/D
82.9ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
10%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust24255%1.0516.1
Mirage3244%0.8814.0
Ancient2232%1.0714.3
Inferno2050%1.0316.4
Cache2060%1.0816.3
Nuke1958%0.9516.7
Anubis1354%0.9914.9
Overpass520%0.6411.4

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.

23.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
36.1%Spray accuracy
81.7%Counter-strafing
7.7°Preaim
609msReaction time
43.5%T opening success
50.4%CT opening success
0.40Enemies flashed / flash
2.9%Flash assists
11.99HE damage / grenade
1.22Flashes / 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 0.3996 — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–13-0.0530%16 Sept
ancient5–13-0.0520%11 Sept
dust210–13-0.0219%10 Sept
mirage13–11-0.0415%10 Sept
cache13–5-0.0421%10 Sept
mirage1–8-0.0511%10 Sept
inferno9–13-0.0315%10 Sept
mirage13–3-0.0018%10 Sept
anubis13–16-0.0421%10 Sept
anubis13–110.0319%10 Sept
anubis13–100.0021%8 Sept
nuke13–10-0.0032%8 Sept
dust213–11-0.0439%8 Sept
cache11–13-0.0223%8 Sept
ancient3–13-0.0424%8 Sept
dust27–00.0529%8 Sept
nuke13–70.0129%8 Sept
dust27–13-0.1120%7 Sept
inferno11–130.0118%7 Sept
mirage13–4-0.0026%7 Sept
inferno11–130.0623%7 Sept
dust27–13-0.0621%7 Sept
anubis11–13-0.0523%7 Sept
dust26–13-0.0328%7 Sept
inferno9–13-0.0424%7 Sept
nuke10–13-0.0117%7 Sept
anubis13–70.0824%7 Sept
dust213–11-0.028%7 Sept
dust213–9-0.0047%7 Sept
anubis13–60.0522%7 Sept
dust210–130.0116%6 Sept
inferno7–13-0.1211%6 Sept
anubis13–0-0.0139%6 Sept
nuke13–8-0.0118%6 Sept
dust23–13-0.0750%6 Sept
ancient3–13-0.0929%6 Sept
dust213–6-0.0135%6 Sept
dust213–50.0135%6 Sept
dust28–13-0.0318%6 Sept
nuke13–11-0.0124%6 Sept
mirage4–130.0234%6 Sept
dust29–130.0331%6 Sept
inferno13–10-0.0324%6 Sept
dust211–13-0.0237%6 Sept
anubis13–11-0.1020%5 Sept
nuke6–13-0.0626%5 Sept
dust213–7-0.0830%5 Sept
cache13–10-0.0453%5 Sept
anubis2–13-0.0421%5 Sept
dust26–13-0.0727%5 Sept
mirage13–40.0025%5 Sept
overpass13–6-0.0813%5 Sept
ancient13–60.0336%5 Sept
nuke13–6-0.0133%4 Sept
dust27–13-0.0457%4 Sept
anubis13–1-0.0226%4 Sept
cache16–14-0.0333%4 Sept
ancient10–13-0.0221%4 Sept
dust213–9-0.0226%4 Sept
anubis13–4-0.0726%4 Sept
dust213–80.0024%4 Sept
nuke13–6-0.0421%3 Sept
dust28–13-0.0329%3 Sept
nuke13–40.1225%3 Sept
dust213–90.0517%3 Sept
anubis6–130.0429%3 Sept
dust29–13-0.0324%3 Sept
anubis13–4-0.1126%3 Sept
inferno15–15-0.0224%3 Sept
mirage13–100.0132%3 Sept
nuke13–110.0225%3 Sept
cache13–30.0337%3 Sept
ancient13–11-0.0215%2 Sept
dust213–6-0.0621%2 Sept
nuke16–120.0120%2 Sept
nuke13–80.0527%2 Sept
inferno11–13-0.0028%2 Sept
dust213–11-0.044%2 Sept
anubis13–11-0.0321%2 Sept
dust213–20.0513%2 Sept
dust216–130.0220%1 Sept
nuke13–9-0.1119%31 Aug
dust213–60.0421%31 Aug
nuke13–6-0.0131%31 Aug
inferno13–70.0235%31 Aug
nuke13–11-0.0016%31 Aug
nuke13–10-0.0213%31 Aug
inferno16–14-0.0135%31 Aug
dust213–7-0.0625%30 Aug
inferno10–13-0.0417%30 Aug
dust25–13-0.0733%30 Aug
dust216–140.0123%30 Aug
mirage6–13-0.0411%30 Aug
dust29–130.0321%25 Aug
ancient9–13-0.0923%25 Aug
inferno3–130.0414%25 Aug
nuke8–13-0.1017%24 Aug
mirage2–13-0.0218%24 Aug
dust213–80.0830%24 Aug
dust28–13-0.0226%24 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →