Philomena Cunk

Philomena Cunk — CS2 Stats

76561198119388134[U:1:159122406]Steam profile ↗✓ No bans

3,868Tracked matches45%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating11,562Blue band · top ~46.6% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (3 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: 11,562 +3,730 21 May – 17 Oct · 33 days played
7,36113,750peak 13,75021 May17 Oct
14,127Peak Premier in tracked matches
37Days played since 2026-05-21

Premier CS Rating

  • 2,188 below peak (13,750)
  • -795 over 30 days · declining
  • Next: Purple band at 15,000 — 3,438 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-16
  • Light Blue band first seen 2026-09-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGPhilomena CunkFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER11,562 · Blue bandcsdb.gg/stats

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Performance scores

Aim57
Positioning58
Utility46

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateWLWTLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −6.7pp headshot accuracy · +23ms reaction

Win rate down 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 512ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 578ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 567ms

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 against its own average).

Aim5.7
Utility4.6
Positioning5.8
Opening Duels4.1

Strong CT-side openerLimited 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

T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim5.7
Positioning5.8
Utility4.6
Mechanics5.5
Opening Duels4.1
Win Impact3.3

Composite 4.9/10 (Developing), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time555ms−83ms
first ⅓ avg 638ms → last ⅓ avg 555ms
Headshot accuracy16.4%+2.3%
first ⅓ avg 14.1% → last ⅓ avg 16.4%

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

0.18Best match rating · 13–3 · nuke, 29 Aug →
52%Best headshot accuracy · 13–3 · inferno, 24 Aug →
422msFastest reaction time · 6–13 · dust2, 17 Oct →
13–0Biggest win · dust2, 8 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
6–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 75% over 12ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2515–1060%0.04
dust2C229–1341%0.02
mirageB136–746%0.01
cacheS129–375%0.05
nukeD103–730%0.04
ancientD72–529%0.03
anubisS75–271%0.05
overpass—41–325%-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

20Matches
35%Win rate
0.62Avg K/D
—ADR
30%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLW

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.

16.1%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.8%Spray accuracy
74.6%Counter-strafing
11.1°Preaim
562msReaction time
37.5%T opening success
55.0%CT opening success
0.44Enemies flashed / flash
6.6%Flash assists
12.02HE damage / grenade
4.96Flashes / 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 0.4393 — below the 0.5 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 37.5263% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–40.028%17 Oct →
dust26–13-0.0012%17 Oct →
inferno13–110.0917%17 Oct →
ancient15–150.0211%16 Oct →
dust25–13-0.0613%16 Oct →
dust28–13-0.0611%16 Oct →
inferno3–13-0.0219%14 Oct →
inferno4–13-0.045%10 Oct →
nuke13–40.0211%10 Oct →
nuke12–16-0.0215%10 Oct →
anubis13–40.0714%7 Oct →
inferno13–90.0110%24 Sept →
mirage8–13-0.0211%18 Sept →
cache13–8-0.0112%16 Sept →
dust213–5-0.0420%10 Sept →
cache6–13-0.0231%7 Sept →
inferno13–110.0518%7 Sept →
dust25–130.0722%7 Sept →
anubis9–130.0232%7 Sept →
inferno13–70.0520%7 Sept →
cache7–130.048%3 Sept →
ancient0–3-0.040%3 Sept →
mirage10–13-0.008%3 Sept →
nuke4–130.089%3 Sept →
dust210–13-0.0114%3 Sept →
ancient10–130.0119%2 Sept →
dust29–20.1021%2 Sept →
cache13–110.0234%2 Sept →
mirage13–110.0720%2 Sept →
dust213–40.1026%1 Sept →
cache9–130.0228%1 Sept →
inferno11–130.1025%1 Sept →
dust213–100.0920%1 Sept →
inferno15–15-0.0220%1 Sept →
mirage3–13-0.0717%31 Aug →
cache13–90.0314%31 Aug →
nuke13–30.1820%29 Aug →
anubis13–80.0817%24 Aug →
inferno16–140.0116%24 Aug →
cache13–50.1317%24 Aug →
anubis13–70.0720%24 Aug →
inferno13–30.0552%24 Aug →
cache13–60.069%24 Aug →
mirage13–3-0.0511%21 Aug →
cache13–70.029%19 Aug →
nuke9–130.0719%19 Aug →
inferno13–70.1223%18 Aug →
nuke4–13-0.047%16 Aug →
inferno11–130.0127%13 Aug →
inferno13–90.1027%13 Aug →
dust28–13-0.0148%12 Aug →
dust213–30.0730%12 Aug →
ancient11–130.0821%12 Aug →
anubis3–13-0.0211%12 Aug →
dust213–80.1431%9 Aug →
ancient8–130.1026%9 Aug →
inferno13–60.1231%9 Aug →
mirage13–40.0527%9 Aug →
cache13–30.1427%9 Aug →
dust213–100.0423%8 Aug →
ancient13–60.0423%8 Aug →
anubis13–60.0622%8 Aug →
dust24–13-0.0518%8 Aug →
inferno11–130.058%8 Aug →
dust213–00.089%8 Aug →
anubis13–20.1128%8 Aug →
inferno13–8-0.0324%8 Aug →
dust210–130.0310%5 Aug →
nuke6–130.0113%5 Aug →
inferno13–100.0113%5 Aug →
mirage13–90.0512%5 Aug →
inferno13–80.1114%3 Aug →
mirage11–13-0.0524%3 Aug →
mirage13–110.0415%3 Aug →
cache13–60.0420%2 Aug →
dust24–13-0.0622%24 Jul →
nuke14–160.0415%24 Jul →
cache13–60.1016%24 Jul →
inferno8–13-0.019%24 Jul →
mirage9–13-0.0212%1 Jul →
overpass9–13-0.0114%1 Jul →
dust26–130.0415%24 Jun →
inferno3–13-0.0515%19 Jun →
inferno10–130.0911%19 Jun →
dust24–13-0.0114%19 Jun →
inferno13–10-0.0212%13 Jun →
mirage4–130.0213%13 Jun →
overpass4–13-0.0410%13 Jun →
dust213–20.1020%13 Jun →
nuke13–10-0.0111%12 Jun →
mirage9–130.0210%12 Jun →
inferno13–10.1019%5 Jun →
dust26–13-0.0822%4 Jun →
inferno13–16-0.0215%4 Jun →
overpass13–10.019%4 Jun →
overpass6–130.016%27 May →
mirage13–10.059%27 May →
nuke11–130.0417%27 May →
inferno13–80.0712%27 May →
dust210–13-0.0015%21 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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