PHEZEN

PHEZEN — CS2 Stats

DK76561198075608944[U:1:115343216]Steam profile ↗✓ No bans

2,937Tracked matches50%Win rate2020Tracked since
6,548Hours in CS3Hrs last 2 wks
CSDB Rating6.4 SolidSupport
FaceitLevel 10 · 2,481 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,481 → 2,481
+58Tracked matches · now 2,937
0.0ppWin rate · 50.0% → 50.0%

Rating over time

2,481Highest Faceit ELO seen on CSDB
67Days played since 2024-12-14

Faceit ELO

  • At peak — 2,481
  • Next: 2,500 ELO at 2,500 — 19 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-23
  • Level 9 first seen 2026-09-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate47.0%50.9%
Shot accuracy17.5%13.7%
Kill/death ratio1.051.09
Match win rate48.3%48.4%

Share this profile

CSDB.GGPHEZENFACEITLevel 10 · 2,481 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,481csdb.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

Aim86
Positioning56
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWLLWWWWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +3.9pp headshot accuracy · +66ms 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 -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 584ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 579ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 546ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim8.6
Utility6.4
Positioning5.6
Opening Duels3.4
Clutch3.2

Sharp aimerStrong CT-side openerEffective flashes

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim8.6
Positioning5.6
Utility6.4
Mechanics6.7
Opening Duels2.6
Win Impact5.0

Composite 6.4/10 (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 rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time563ms−49ms
first ⅓ avg 612ms → last ⅓ avg 563ms
Headshot accuracy20.0%−1.3%
first ⅓ avg 21.3% → 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

0.10Best match rating · 13–8 · inferno, 29 Sept →
43%Best headshot accuracy · 13–9 · train, 25 Aug →
375msFastest reaction time · 13–8 · inferno, 29 Dec →
13–1Biggest win · nuke, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
15–16In matches decided by ≤2 rounds
14Overtime games

Map breakdown

trainBest map · 71% over 7mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3519–1654%-0.00
infernoB2814–1450%-0.01
nukeB209–1145%-0.01
mirageC83–538%-0.00
trainS75–271%0.00
cache—10–10%-0.02
overpass—10–10%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

229,893Lifetime kills
1.05K/D
8,927Matches
48.3%Match win rate
47.0%Headshot %
17.5%Shot accuracy · Top 25% of Level 10 players
22,371MVPs
4,895Hours (in match)
13,486Bombs planted
2,650Bombs defused

Most-used weapons

AK-4784,504
AWP7,365
Knife6,571
FAMAS5,033
P2504,993

Lifetime map wins

28,315dust2
24,509inferno
11,050nuke
9,700train
1,870cbble
728vertigo
201militia
64assault

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

Faceit stats

Combat

6,795Matches
50%Win rate
1.02Avg K/D
77.1ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust238352%1.0515.8
Inferno30161%1.1015.6
Nuke30058%1.0615.6
Mirage21546%1.0416.1
Ancient8050%1.0116.5
Anubis5934%0.8914.2
Train5355%1.0014.5
Overpass2339%0.9715.0

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.

20.5%Headshot accuracy
38.7%Accuracy (enemy spotted)
43.5%Spray accuracy
80.0%Counter-strafing
8.3°Preaim
560msReaction time
29.5%T opening success
51.1%CT opening success
0.75Enemies flashed / flash
5.3%Flash assists
9.04HE damage / grenade
9.74Flashes / 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 29.4943% — below the 40% mark we flag

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0124%10 Oct →
nuke13–5-0.0233%9 Oct →
dust211–13-0.0216%9 Oct →
inferno11–13-0.0529%30 Sept →
nuke13–9-0.0523%30 Sept →
mirage13–60.0521%21 Sept →
inferno13–110.0425%20 Sept →
dust213–110.0123%7 Sept →
nuke13–4-0.0125%5 Sept →
cache11–13-0.0215%3 Sept →
mirage16–14-0.0121%3 Sept →
nuke11–13-0.0118%27 Aug →
dust26–13-0.065%27 Aug →
dust29–130.0117%21 Aug →
dust27–13-0.0137%20 Aug →
inferno13–6-0.0214%14 Aug →
nuke13–7-0.0214%13 Aug →
nuke10–13-0.0017%10 Aug →
dust213–11-0.0319%21 Jul →
dust213–100.0233%21 Jul →
inferno9–40.0319%19 Jul →
dust211–13-0.0118%28 May →
dust213–30.0319%24 May →
dust26–13-0.0921%19 May →
inferno10–13-0.0114%1 Apr →
dust213–9-0.0218%1 Apr →
nuke13–90.0318%18 Mar →
mirage7–130.0017%2 Feb →
dust27–13-0.0225%2 Feb →
overpass12–160.0324%2 Feb →
dust213–11-0.0513%29 Jan →
nuke11–13-0.079%11 Jan →
nuke10–13-0.0117%11 Jan →
dust216–130.0023%8 Jan →
inferno16–14-0.0213%8 Jan →
nuke6–13-0.0524%5 Jan →
nuke11–13-0.0414%30 Dec →
inferno11–13-0.0220%30 Dec →
dust214–160.0018%19 Dec →
nuke13–90.0318%30 Nov →
nuke13–11-0.0217%28 Nov →
train13–7-0.0413%9 Nov →
mirage13–110.0723%8 Nov →
dust213–7-0.0015%6 Nov →
inferno5–13-0.0417%6 Nov →
train13–50.0430%27 Oct →
dust211–13-0.0528%25 Oct →
inferno13–80.0316%16 Oct →
mirage8–13-0.0417%10 Oct →
dust216–140.0533%6 Oct →
nuke10–130.0224%6 Oct →
train13–110.0429%6 Oct →
inferno16–12-0.0225%29 Sept →
inferno13–80.1025%29 Sept →
inferno6–9-0.0330%25 Sept →
inferno11–13-0.0418%23 Sept →
inferno6–13-0.0715%21 Sept →
inferno13–40.0320%14 Sept →
dust213–70.0726%14 Sept →
mirage5–13-0.0123%8 Sept →
nuke6–120.0221%25 Aug →
inferno6–13-0.0332%25 Aug →
train13–90.0243%25 Aug →
dust213–50.0721%18 Aug →
mirage1–13-0.0913%14 Aug →
dust25–13-0.0215%14 Aug →
inferno13–110.0124%13 Aug →
inferno13–70.0530%8 Aug →
nuke7–13-0.0633%5 Aug →
inferno15–15-0.0114%29 Jul →
nuke13–10.0732%26 Jul →
inferno13–11-0.0238%26 Jul →
dust29–130.0225%4 Jul →
inferno11–13-0.0218%4 Jul →
inferno13–11-0.0518%4 Jun →
nuke13–70.1021%26 May →
nuke7–13-0.0318%1 May →
mirage19–22-0.0118%29 Apr →
train16–120.0535%29 Apr →
dust213–60.0320%18 Mar →
dust211–13-0.0410%17 Mar →
dust213–11-0.0324%18 Jan →
train6–13-0.0414%18 Jan →
inferno3–13-0.0613%4 Jan →
dust24–13-0.0618%3 Jan →
inferno10–13-0.0411%30 Dec →
dust28–130.0221%30 Dec →
dust213–110.0025%30 Dec →
inferno8–13-0.0116%30 Dec →
dust213–80.0330%29 Dec →
dust213–70.0028%29 Dec →
dust213–1-0.0211%29 Dec →
inferno13–8-0.0717%29 Dec →
dust213–16-0.0023%29 Dec →
dust211–13-0.0320%29 Dec →
nuke14–16-0.0310%16 Dec →
train11–13-0.0519%16 Dec →
dust216–130.0727%15 Dec →
inferno13–50.0429%14 Dec →
dust216–130.0414%14 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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