Ph1lly

Ph1lly — CS2 Stats

76561198100165333[U:1:139899605]Steam profile ↗✓ No bans

958Tracked matches61%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating19,394Top 50% of 175,286 CSDB-tracked playersPurple band · top ~10.9% of ranked players (population est.)
CSDB Leaderboard#82057 of 221824 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (11 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. 66 days played since 9 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,394 +838 9 Feb6 Sept · 57 days played
14,55319,394peak 19,3949 Feb6 Sept
19,394Peak Premier in tracked matches
66Days played since 2026-02-09

Premier CS Rating

  • At peak — 19,394
  • +4,208 over 90 days
  • Next: Pink band at 20,000 606 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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.

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CSDB.GGPh1llyPREMIER19,394 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning37
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateWWLLWWLTWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.4pp headshot accuracy · −49ms 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 17%
  • Avg reaction 647ms

Last 10

  • 631 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 608ms

Last 20

  • 1361 · 65% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 632ms

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).

Aim5.8
Utility3.2
Positioning3.7
Opening Duels2.9
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

iM

Plays most like iM 97% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 643ms 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

Aim5.8
Positioning3.7
Utility3.2
Mechanics5.8
Opening Duels2.0
Win Impact8.6

Composite 4.9/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time645ms−29ms
first ⅓ avg 673ms → last ⅓ avg 645ms
Headshot accuracy19.5%+3.1%
first ⅓ avg 16.4% → last ⅓ avg 19.5%

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 · 13–6 · mirage, 27 Mar
42%Best headshot accuracy · 5–13 · mirage, 2 Apr
484msFastest reaction time · 13–6 · cache, 23 May
13–0Biggest win · mirage, 21 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
78In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 100% over 5dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB23111248%-0.04
mirageC2391439%-0.02
ancientA169756%-0.02
cacheA117464%-0.02
dust2D113827%-0.03
nukeC52340%-0.02
overpassS550100%-0.01
anubis42250%-0.02
boulder110100%-0.00
shelter110100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

36Matches
44%Win rate
0.75Avg K/D
55.3ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2100%0.6211.0
Cache2100%0.6813.0
Mirage1100%0.8612.0
Dust210%0.419.0
Inferno10%0.253.0

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.

19.8%Headshot accuracy
31.3%Accuracy (enemy spotted)
35.6%Spray accuracy
76.0%Counter-strafing
9.8°Preaim
643msReaction time
38.2%T opening success
37.4%CT opening success
0.58Enemies flashed / flash
1.6%Flash assists
10.00HE damage / grenade
2.87Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8684 — below the 4 mark we flag

    Grenade Lineups
  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 38.24% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–9-0.1115%6 Sept
inferno13–40.0217%4 Sept
mirage10–13-0.0624%1 Sept
cache9–13-0.0614%30 Aug
ancient13–11-0.0115%29 Aug
dust213–30.0133%29 Aug
ancient7–13-0.0620%25 Aug
ancient15–15-0.0724%24 Aug
inferno16–12-0.0421%23 Aug
mirage13–00.0513%21 Aug
mirage2–9-0.090%21 Aug
mirage13–8-0.0736%21 Aug
mirage13–7-0.0426%19 Aug
ancient4–20.0313%19 Aug
cache13–2-0.0324%19 Aug
mirage13–9-0.0411%14 Aug
ancient13–40.0522%13 Aug
ancient13–5-0.0329%12 Aug
nuke7–130.0326%11 Aug
cache11–13-0.0223%24 Jul
mirage13–40.0524%21 Jul
boulder13–6-0.0018%10 Jul
shelter13–40.0120%10 Jul
anubis11–13-0.0218%8 Jul
inferno8–13-0.0613%8 Jul
dust215–15-0.0119%26 Jun
anubis16–13-0.0214%24 Jun
cache11–130.0117%3 Jun
ancient9–13-0.0616%3 Jun
mirage3–13-0.0223%2 Jun
cache13–11-0.0417%23 May
cache13–60.0124%23 May
mirage13–100.0315%23 May
cache13–7-0.0613%22 May
overpass16–13-0.0019%22 May
cache13–60.0533%20 May
cache13–70.0114%20 May
mirage2–13-0.0218%20 May
inferno13–60.015%19 May
mirage14–16-0.0223%18 May
dust213–80.0124%12 May
mirage16–14-0.0416%9 May
inferno8–13-0.0618%9 May
ancient13–10-0.018%5 May
inferno11–130.0327%1 May
nuke13–30.0214%1 May
mirage10–13-0.026%30 Apr
inferno7–13-0.0614%29 Apr
cache9–13-0.0010%29 Apr
inferno9–13-0.0923%28 Apr
overpass13–11-0.0116%27 Apr
mirage7–13-0.0411%27 Apr
dust28–13-0.0611%26 Apr
overpass13–50.047%26 Apr
dust212–16-0.0611%22 Apr
inferno13–3-0.0642%21 Apr
inferno8–13-0.078%20 Apr
dust27–13-0.1116%19 Apr
inferno13–10-0.0313%19 Apr
dust215–15-0.0319%19 Apr
inferno15–15-0.0513%12 Apr
overpass13–3-0.0023%7 Apr
mirage6–13-0.0613%5 Apr
ancient13–60.0120%5 Apr
ancient13–90.0425%4 Apr
mirage5–130.0242%2 Apr
ancient10–13-0.015%1 Apr
overpass13–8-0.1023%1 Apr
inferno13–100.0219%27 Mar
mirage13–60.1019%27 Mar
mirage9–13-0.0710%20 Mar
inferno13–8-0.0617%20 Mar
dust215–15-0.0320%20 Mar
dust213–30.0121%18 Mar
inferno8–13-0.0331%17 Mar
mirage15–150.0114%11 Mar
ancient5–13-0.057%4 Mar
inferno7–13-0.0212%1 Mar
inferno4–13-0.044%28 Feb
inferno13–30.0218%28 Feb
mirage16–140.0116%23 Feb
dust211–13-0.0224%22 Feb
mirage9–13-0.0618%21 Feb
dust28–13-0.0622%21 Feb
ancient11–13-0.0418%21 Feb
nuke6–13-0.048%18 Feb
mirage4–13-0.0325%17 Feb
inferno13–6-0.0313%16 Feb
mirage11–13-0.0414%14 Feb
ancient8–13-0.0725%14 Feb
inferno13–8-0.0227%14 Feb
inferno8–13-0.0920%13 Feb
ancient13–100.0123%13 Feb
anubis13–60.0711%13 Feb
nuke7–13-0.099%13 Feb
inferno4–13-0.090%12 Feb
anubis3–13-0.0918%11 Feb
inferno13–9-0.057%11 Feb
nuke13–11-0.046%10 Feb
ancient13–7-0.0321%9 Feb

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 →