✪Pho[E]niX™

✪Pho[E]niX™ — CS2 Stats

EE76561198142761565[U:1:182495837]Steam profile ↗✓ No bans

1,111Tracked matches62%Win rate2021Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating16,582Purple band · top ~22.1% of ranked players (population est.)
FaceitLevel 10 · 1,663 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (6 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: 16,582 -4,721 16 Jul – 5 Oct · 22 days played
14,75221,303peak 21,30316 Jul5 Oct
21,305Peak Premier in tracked matches
1,663Highest Faceit ELO seen on CSDB
40Days played since 2026-07-16

Faceit ELO

  • At peak — 1,663
  • Next: Level 9 at 1,751 — 88 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-26
  • Level 7 first seen 2026-09-26

Premier CS Rating

  • 4,721 below peak (21,303)
  • +1,830 over 30 days · improving
  • -4,721 over 90 days
  • Next: Pink band at 20,000 — 3,418 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-26
  • Blue band first seen 2026-09-26

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.GG✪Pho[E]niX™FACEITLevel 10 · 1,663 ELOSTANDINGTop 12.4% of rankedPREMIER16,582 · Purple bandPEAK ELO1,663csdb.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

Aim74
Positioning69
Utility47

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWWWWWWWTLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · −5ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 472ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 500ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 502ms

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 (+1.7 against its own average).

Aim7.4
Utility4.7
Positioning6.9
Opening Duels5.6
Clutch3.6

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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; lower aim 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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.4
Positioning6.9
Utility4.7
Mechanics3.8
Opening Duels6.0
Win Impact9.0

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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time485ms−58ms
first ⅓ avg 543ms → last ⅓ avg 485ms
Headshot accuracy24.6%−1.0%
first ⅓ avg 25.6% → last ⅓ avg 24.6%

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

0.19Best match rating · 9–3 · inferno, 23 Sept →
100%Best headshot accuracy · 0–5 · dust2, 3 Aug →
344msFastest reaction time · 5–12 · mirage, 30 Aug →
13–2Biggest win · dust2, 16 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
3–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%0.01
dust2A1811–761%0.02
nukeB157–847%0.04
ancientB157–847%0.02
infernoB136–746%-0.00
anubisS86–275%0.05
cacheA85–363%0.06
vertigo—21–150%0.11
overpass—11–0100%0.19
train—11–0100%0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

611Matches
53%Win rate
1.18Avg K/D
76.5ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage17057%1.1415.9
Dust212453%1.2615.8
Ancient9049%1.1216.0
Anubis7757%1.3218.1
Nuke6452%1.2617.2
Inferno4951%1.0113.0
Cache1136%0.9815.9
Overpass933%1.2513.6

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.

24.1%Headshot accuracy
33.6%Accuracy (enemy spotted)
29.4%Spray accuracy
66.9%Counter-strafing
8.3°Preaim
487msReaction time
47.7%T opening success
60.4%CT opening success
0.43Enemies flashed / flash
4.6%Flash assists
3.89HE damage / grenade
12.55Flashes / 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 0.4327 — 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.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.1031%5 Oct →
mirage13–10-0.0114%30 Sept →
nuke13–60.1133%30 Sept →
dust213–7-0.0428%30 Sept →
inferno9–50.0922%30 Sept →
anubis13–60.0323%29 Sept →
dust213–30.0113%27 Sept →
mirage12–120.0222%26 Sept →
anubis8–130.0232%23 Sept →
inferno2–9-0.1930%23 Sept →
inferno9–30.1938%23 Sept →
mirage8–130.0234%23 Sept →
ancient13–60.0716%22 Sept →
mirage13–4-0.0212%22 Sept →
ancient13–100.0514%22 Sept →
ancient5–13-0.0543%21 Sept →
cache10–13-0.0317%20 Sept →
inferno6–9-0.1135%18 Sept →
mirage2–13-0.0818%15 Sept →
anubis13–90.0216%12 Sept →
ancient10–13-0.0219%11 Sept →
ancient13–80.0726%11 Sept →
nuke8–13-0.0028%11 Sept →
inferno9–70.0721%11 Sept →
ancient13–90.0238%11 Sept →
inferno9–50.1235%11 Sept →
nuke13–60.0913%9 Sept →
nuke9–130.0426%8 Sept →
inferno4–90.0428%8 Sept →
inferno7–90.0426%8 Sept →
vertigo13–40.0419%8 Sept →
nuke13–30.1220%31 Aug →
inferno13–10-0.0223%31 Aug →
cache13–60.1128%30 Aug →
mirage5–120.0850%30 Aug →
overpass9–30.1927%30 Aug →
nuke9–60.1635%30 Aug →
nuke11–130.0538%26 Aug →
anubis10–130.0835%26 Aug →
inferno13–8-0.0319%26 Aug →
anubis13–80.0430%24 Aug →
dust212–120.0432%23 Aug →
dust213–40.1038%23 Aug →
ancient7–13-0.0014%16 Aug →
cache13–30.1244%16 Aug →
dust213–20.0430%16 Aug →
ancient13–100.1831%16 Aug →
nuke2–9-0.1317%15 Aug →
nuke13–50.0130%9 Aug →
dust213–60.0428%9 Aug →
dust213–50.0642%9 Aug →
mirage13–5-0.0427%7 Aug →
ancient6–13-0.0433%7 Aug →
anubis13–100.0417%7 Aug →
mirage11–130.0030%5 Aug →
dust212–120.0943%5 Aug →
ancient16–130.0220%4 Aug →
dust20–5-0.04100%3 Aug →
dust27–110.0623%2 Aug →
mirage13–60.0350%2 Aug →
mirage6–13-0.0013%31 Jul →
vertigo5–130.1932%31 Jul →
cache13–80.0717%31 Jul →
dust210–13-0.0215%28 Jul →
dust213–16-0.0212%26 Jul →
mirage9–130.0919%25 Jul →
inferno2–13-0.0427%25 Jul →
mirage16–130.0229%25 Jul →
dust213–7-0.0226%25 Jul →
nuke6–13-0.0431%23 Jul →
train13–50.1514%22 Jul →
nuke11–130.0628%21 Jul →
mirage2–13-0.0140%21 Jul →
ancient1–13-0.0717%21 Jul →
nuke13–11-0.0715%21 Jul →
mirage13–5-0.0412%21 Jul →
ancient10–130.0133%20 Jul →
ancient8–13-0.0332%20 Jul →
nuke1–6-0.0413%19 Jul →
inferno7–13-0.140%18 Jul →
nuke16–120.1122%18 Jul →
dust213–40.0221%18 Jul →
cache13–70.0117%18 Jul →
anubis13–100.0426%18 Jul →
dust213–16-0.0530%17 Jul →
mirage13–20.0129%17 Jul →
cache11–130.0227%17 Jul →
dust213–80.0525%17 Jul →
mirage14–16-0.0321%17 Jul →
inferno6–13-0.0714%17 Jul →
ancient3–13-0.0329%17 Jul →
mirage13–100.0426%16 Jul →
nuke10–130.1229%16 Jul →
cache13–110.1637%16 Jul →
mirage13–8-0.0235%16 Jul →
dust213–60.0231%16 Jul →
cache11–130.0337%16 Jul →
ancient13–90.0833%16 Jul →
dust213–30.0643%16 Jul →
mirage13–70.0528%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.