PHYLLYTHƸ̵̡Ӝ̵̨̄Ʒ

PHYLLYTHƸ̵̡Ӝ̵̨̄Ʒ — CS2 Stats

GI76561198265260827[U:1:304995099]Steam profile ↗✓ No bans

541Tracked matches54%Win rate2021Tracked since
757Hours in CS
CSDB Rating3.5 LearningPositional Player
Premier CS Rating10,657Blue band · top ~51.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 541 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,657 +4,660 27 Jun – 16 Sept · 33 days played
5,10510,720peak 10,72027 Jun16 Sept
10,720Peak Premier in tracked matches
56Days played since 2025-06-27

Premier CS Rating

  • 63 below peak (10,720)
  • Next: Purple band at 15,000 — 4,343 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-11
  • Light Blue band first seen 2026-09-11

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate28.0%42.7%43.8%15.7% short
Shot accuracy12.4%11.2%12.0%above
Kill/death ratio0.880.991.020.14 short
Match win rate59.5%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPHYLLYTHƸ̵̡Ӝ̵̨̄ƷFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,657 · Blue bandcsdb.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

Aim31
Positioning44
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWWWLLLWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.1pp headshot accuracy · +6ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 673ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 633ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 630ms

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 (+1.9 against its own average).

Aim3.1
Utility3.6
Positioning4.4
Opening Duels2.0
Clutch0.0

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

jL

Plays most like jL 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 638ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.1
Positioning4.4
Utility3.6
Mechanics3.5
Opening Duels1.9
Win Impact6.2

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time631ms+12ms
first ⅓ avg 620ms → last ⅓ avg 631ms
Headshot accuracy14.9%−1.7%
first ⅓ avg 16.6% → last ⅓ avg 14.9%

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

0.25Best match rating · 9–1 · inferno, 6 Aug →
50%Best headshot accuracy · 9–4 · overpass, 26 Dec →
422msFastest reaction time · 3–13 · ancient, 2 Apr →
13–0Biggest win · dust2, 31 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
11–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 68% over 19anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2010–1050%0.02
mirageA1911–858%-0.03
dust2S1913–668%0.01
ancientC104–640%-0.03
nukeB84–450%-0.01
anubisD72–529%-0.01
overpassS64–267%0.00
cache—31–233%0.01
train—30–30%0.03
grail—22–0100%0.01
agency—20–20%-0.02
jura—10–10%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,666Lifetime kills
0.88K/D
1,915Matches
59.5%Match win rate · Top 5% of Level 4 players
28.0%Headshot %
12.4%Shot accuracy · Top 50% of Level 4 players
5,220MVPs
757Hours (in match)
3,773Bombs planted
457Bombs defused

Most-used weapons

AK-4712,834
P25012,472
Knife12,318
AWP6,014
UMP-451,879
FAMAS1,763

Lifetime map wins

11,345dust2
2,911inferno
491train
458nuke
405vertigo
195cbble
103lake
94office

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

Faceit stats

Combat

44Matches
45%Win rate
0.78Avg K/D
73.5ADR
41%Headshot %

Clutches & streaks

17%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2650%0.9312.0
Mirage60%0.508.3
Inferno650%0.8712.3
Anubis560%0.7714.0
Vertigo367%0.9014.0
Nuke333%0.628.7
Ancient30%0.6810.7
Overpass10%0.8214.0

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.

13.8%Headshot accuracy
26.7%Accuracy (enemy spotted)
31.8%Spray accuracy
65.9%Counter-strafing
10.3°Preaim
638msReaction time
32.4%T opening success
42.9%CT opening success
0.51Enemies flashed / flash
2.5%Flash assists
8.51HE damage / grenade
4.55Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.8157% — below the 15% mark we flag

    Aim Training →
  2. 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 32.3879% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0212%3 Jun →
mirage13–110.0913%3 May →
cache13–100.056%3 May →
cache3–130.0211%1 May →
cache10–13-0.048%29 Apr →
mirage6–13-0.058%5 Apr →
dust213–80.0328%5 Apr →
inferno13–5-0.0812%5 Apr →
mirage6–13-0.1227%2 Apr →
ancient3–13-0.0713%2 Apr →
dust27–13-0.0128%1 Apr →
mirage13–9-0.0512%30 Mar →
ancient9–13-0.0613%30 Mar →
dust213–6-0.0117%30 Mar →
inferno10–130.0811%29 Mar →
anubis13–50.0114%1 Feb →
nuke12–16-0.0311%1 Feb →
overpass3–13-0.076%30 Jan →
dust23–13-0.0920%24 Jan →
mirage13–6-0.084%10 Jan →
inferno13–7-0.0221%31 Dec →
mirage13–6-0.0015%31 Dec →
inferno9–60.0121%26 Dec →
overpass9–40.0750%26 Dec →
nuke8–130.0010%26 Dec →
mirage13–4-0.0617%26 Dec →
mirage13–4-0.0219%10 Dec →
inferno13–5-0.069%28 Nov →
dust29–13-0.0412%15 Nov →
nuke13–90.0213%15 Nov →
dust215–15-0.0114%5 Nov →
train15–15-0.0313%14 Oct →
ancient9–13-0.073%10 Oct →
mirage13–11-0.0313%7 Oct →
dust213–110.0015%2 Oct →
dust213–11-0.0318%30 Sept →
overpass13–100.0221%30 Sept →
inferno8–80.2517%17 Sept →
inferno10–13-0.0714%17 Sept →
dust213–4-0.0617%17 Sept →
mirage11–130.0118%13 Sept →
train3–130.0917%13 Sept →
mirage13–100.0318%5 Sept →
nuke6–9-0.1116%27 Aug →
grail13–90.0618%27 Aug →
inferno8–8-0.0426%27 Aug →
ancient7–13-0.0213%26 Aug →
anubis4–13-0.0621%20 Aug →
anubis13–110.0113%20 Aug →
anubis2–13-0.0019%20 Aug →
dust213–10-0.0126%19 Aug →
nuke13–10-0.0528%15 Aug →
overpass7–130.0321%13 Aug →
agency7–130.0125%12 Aug →
agency6–13-0.0614%9 Aug →
inferno8–80.0828%6 Aug →
inferno9–10.2538%6 Aug →
inferno3–9-0.0619%6 Aug →
inferno9–130.0123%4 Aug →
ancient13–110.0121%4 Aug →
inferno3–130.0211%4 Aug →
ancient11–13-0.0711%3 Aug →
ancient13–11-0.056%2 Aug →
mirage5–13-0.066%2 Aug →
dust213–60.0621%2 Aug →
nuke13–40.0319%2 Aug →
inferno11–130.0213%2 Aug →
inferno13–11-0.0212%1 Aug →
dust213–8-0.0617%1 Aug →
overpass13–11-0.0322%31 Jul →
dust213–30.1824%31 Jul →
dust213–00.0917%31 Jul →
inferno13–80.0427%31 Jul →
jura9–13-0.0414%30 Jul →
ancient13–5-0.0231%29 Jul →
overpass13–8-0.028%29 Jul →
dust26–130.048%29 Jul →
inferno13–11-0.0115%24 Jul →
ancient13–30.0018%24 Jul →
mirage10–00.040%24 Jul →
nuke6–130.0615%23 Jul →
mirage1–13-0.099%23 Jul →
inferno9–130.0325%20 Jul →
mirage13–30.0213%18 Jul →
dust216–130.0319%18 Jul →
dust213–70.1027%17 Jul →
dust25–13-0.0517%17 Jul →
train12–120.0212%16 Jul →
inferno13–9-0.0119%15 Jul →
mirage7–13-0.1416%11 Jul →
mirage7–13-0.0523%11 Jul →
nuke13–60.0210%3 Jul →
anubis10–130.0521%2 Jul →
grail13–11-0.0413%2 Jul →
ancient8–13-0.0013%30 Jun →
inferno9–30.0220%28 Jun →
mirage10–13-0.1017%28 Jun →
anubis11–13-0.0418%28 Jun →
dust213–10.0720%27 Jun →
anubis3–13-0.076%27 Jun →

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 →

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