phil

phil — CS2 Stats

76561197961060843[U:1:795115]Steam profile ↗✓ No bans

454Tracked matches55%Win rate2023Tracked since
CSDB Rating4.5 DevelopingAll-Rounder
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,138 → 1,138
+4Tracked matches · now 454
+3.4ppWin rate · 51.7% → 55.2%

Rating over time

Premier CS Rating: 19,064 +463 31 Mar – 3 May · 4 days played
18,60119,999peak 19,99931 Mar3 May
Faceit ELO: 1,138 +0 1 Sept – 3 Sept · 2 observations
1,1381,138peak 1,1381 Sept3 Sept
19,999Peak Premier in tracked matches
1,138Highest Faceit ELO seen on CSDB
24Days played since 2026-03-03

Faceit ELO

  • At peak — 1,138
  • Next: Level 6 at 1,201 — 63 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

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.GGphilPEAK ELO1,138csdb.gg/stats

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Performance scores

Aim52
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateLWWWWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +4.4pp headshot accuracy · −44ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 684ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 608ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility4.8
Positioning4.8
Opening Duels2.9
Clutch4.4

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 84% 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. 613ms 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

Aim5.2
Positioning4.8
Utility4.8
Mechanics5.6
Opening Duels2.0
Win Impact6.7

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time629ms−2ms
first ⅓ avg 631ms → last ⅓ avg 629ms
Headshot accuracy17.5%−0.5%
first ⅓ avg 18.0% → last ⅓ avg 17.5%

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

0.09Best match rating · 13–3 · ancient, 27 Aug →
36%Best headshot accuracy · 8–13 · overpass, 26 May →
453msFastest reaction time · 8–13 · anubis, 27 Aug →
13–1Biggest win · ancient, 28 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 75% over 20dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
ancientS2015–575%-0.01
anubisB179–853%-0.03
mirageB115–645%-0.03
dust2C114–736%-0.03
cacheC104–640%-0.01
overpassA95–456%-0.01
infernoC73–443%-0.05
nukeC52–340%-0.03
warden—30–30%0.01
vertigo—22–0100%0.01
stronghold—21–150%-0.04
shelter—11–0100%-0.01
fachwerk—11–0100%-0.02
train—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

92Matches
55%Win rate
0.89Avg K/D
64.1ADR
50%Headshot %

Clutches & streaks

42%1v1 clutch win
5%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2273%0.9812.6
Anubis1953%0.7710.7
Mirage1250%0.6610.6
Inferno1060%1.1811.3
Dust21050%1.0913.7
Overpass1060%0.8012.7
Cache540%0.7412.6
Nuke20%0.9017.5

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.

17.2%Headshot accuracy
31.4%Accuracy (enemy spotted)
31.9%Spray accuracy
75.3%Counter-strafing
10.5°Preaim
613msReaction time
37.1%T opening success
39.0%CT opening success
0.60Enemies flashed / flash
4.9%Flash assists
6.74HE damage / grenade
4.72Flashes / 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 37.1298% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke14–16-0.0419%28 Sept →
cache13–100.0113%28 Sept →
ancient13–10.0627%28 Sept →
ancient13–6-0.0229%28 Sept →
vertigo13–11-0.0419%1 Sept →
ancient13–9-0.0416%1 Sept →
anubis13–6-0.0422%1 Sept →
ancient13–4-0.0011%1 Sept →
anubis8–130.0210%27 Aug →
inferno16–14-0.0321%27 Aug →
ancient13–30.0921%27 Aug →
inferno1–2-0.160%27 Aug →
ancient13–11-0.0114%27 Aug →
ancient13–40.0219%21 Jul →
mirage10–13-0.0614%21 Jul →
anubis10–13-0.0515%21 Jul →
shelter13–11-0.0113%16 Jul →
fachwerk13–8-0.0220%16 Jul →
ancient10–13-0.0417%16 Jul →
cache9–13-0.0211%16 Jul →
inferno5–13-0.0730%7 Jul →
dust27–13-0.0611%7 Jul →
cache16–14-0.0711%7 Jul →
mirage12–16-0.0412%7 Jul →
ancient10–13-0.046%28 Jun →
dust213–16-0.0412%28 Jun →
mirage14–16-0.0612%28 Jun →
train12–12-0.0723%23 Jun →
dust216–130.0627%23 Jun →
anubis13–8-0.0635%23 Jun →
cache14–16-0.0422%23 Jun →
nuke0–4-0.1233%14 Jun →
mirage13–10-0.0212%14 Jun →
anubis13–40.0418%14 Jun →
ancient13–5-0.0213%14 Jun →
overpass11–13-0.0215%14 Jun →
cache5–13-0.0515%9 Jun →
ancient13–30.0421%9 Jun →
cache6–13-0.057%9 Jun →
anubis8–13-0.0410%9 Jun →
overpass13–90.0113%9 Jun →
cache13–90.0721%31 May →
anubis13–11-0.0416%31 May →
mirage13–1-0.0215%31 May →
overpass13–11-0.0120%31 May →
mirage13–110.0020%26 May →
ancient16–13-0.0115%26 May →
overpass8–13-0.0236%26 May →
stronghold13–1-0.0328%17 May →
cache13–110.0515%17 May →
inferno13–90.0213%17 May →
ancient10–13-0.0813%17 May →
overpass11–13-0.067%17 May →
anubis13–8-0.0619%17 May →
ancient13–60.0311%17 May →
cache12–12-0.0414%12 May →
overpass16–12-0.0121%12 May →
dust219–22-0.0215%12 May →
cache12–12-0.0022%3 May →
mirage13–16-0.0819%3 May →
anubis11–13-0.0611%3 May →
dust210–13-0.0718%3 May →
ancient11–13-0.0811%28 Apr →
dust211–13-0.0717%28 Apr →
inferno7–13-0.0212%28 Apr →
anubis9–13-0.069%28 Apr →
inferno13–4-0.016%19 Apr →
ancient13–11-0.0113%19 Apr →
dust28–13-0.0523%19 Apr →
nuke13–8-0.0117%19 Apr →
ancient13–9-0.008%19 Apr →
overpass13–60.0634%19 Apr →
stronghold7–13-0.0514%14 Apr →
mirage13–8-0.0513%14 Apr →
ancient9–13-0.039%14 Apr →
anubis13–11-0.0321%14 Apr →
dust216–14-0.0212%5 Apr →
mirage13–80.0528%5 Apr →
overpass13–8-0.0220%31 Mar →
dust213–8-0.0321%31 Mar →
anubis13–7-0.0118%31 Mar →
nuke7–13-0.0415%31 Mar →
vertigo13–50.0619%22 Mar →
dust210–130.0118%22 Mar →
inferno9–13-0.0823%22 Mar →
anubis13–8-0.0426%22 Mar →
overpass9–13-0.0331%22 Mar →
warden12–120.0614%17 Mar →
mirage8–13-0.0616%17 Mar →
dust213–50.0012%17 Mar →
anubis4–13-0.1010%17 Mar →
ancient13–70.0122%17 Mar →
warden6–13-0.019%8 Mar →
ancient13–7-0.0214%8 Mar →
anubis5–13-0.0819%8 Mar →
anubis13–80.0511%8 Mar →
mirage8–13-0.0225%8 Mar →
warden4–13-0.0214%3 Mar →
nuke13–80.0819%3 Mar →
anubis6–13-0.0424%3 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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