Phoebe

Phoebe — CS2 Stats

DE76561198312362212[U:1:352096484]Steam profile ↗✓ No bans

728Tracked matches53%Win rate2020Tracked since
3,670Hours in CS25Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating17,597Purple band · top ~18.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). 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: 17,597 +400 16 Jun – 3 Nov · 23 days played
16,75819,649peak 19,64916 Jun3 Nov
19,860Peak Premier in tracked matches
38Days played since 2026-06-02

Premier CS Rating

  • 2,052 below peak (19,649)
  • +191 over 30 days · steady
  • -2,052 over 90 days
  • Next: Pink band at 20,000 — 2,403 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.1%44.4%46.9%2.9% short
Shot accuracy13.5%11.9%13.0%above
Kill/death ratio0.941.031.080.14 short
Match win rate31.6%45.2%46.7%15.1% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGPhoebePREMIER17,597 · Purple 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

Aim74
Positioning74
Utility56

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLWLLWLLLWL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · +7.8pp headshot accuracy · +19ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 544ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

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 (+2.7 against its own average).

Aim7.4
Utility5.6
Positioning7.4
Opening Duels6.0
Clutch0.0

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

m0NESY

Plays most like m0NESY 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 575ms 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

Aim7.4
Positioning7.4
Utility5.6
Mechanics6.8
Opening Duels8.1
Win Impact6.1

Composite 7.0/10 (Strong), 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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time584ms−55ms
first ⅓ avg 639ms → last ⅓ avg 584ms
Headshot accuracy15.7%−2.5%
first ⅓ avg 18.2% → last ⅓ avg 15.7%

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

0.14Best match rating · 8–8 · debris, 24 Aug →
50%Best headshot accuracy · 13–10 · cache, 26 Oct →
438msFastest reaction time · 13–4 · inferno, 20 Oct →
13–1Biggest win · cache, 7 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 52% over 25dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%-0.01
anubisB2111–1052%0.00
ancientB189–950%0.01
cacheD155–1033%-0.00
dust2D81–713%-0.00
poseidonD51–420%-0.00
mirage—32–167%-0.01
overpass—21–150%-0.03
debris—20–20%0.02
nuke—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,905Lifetime kills
0.94K/D
6,156Matches
31.6%Match win rate
44.1%Headshot %
13.5%Shot accuracy · Top 50% of Purple band
13,847MVPs
3,976Hours (in match)
1,782Bombs planted
2,117Bombs defused

Most-used weapons

AK-4732,111
AWP24,183
AUG3,595
SG 5533,526
P2503,288

Lifetime map wins

4,805inferno
3,815nuke
2,554vertigo
2,382dust2
1,052train
941cbble
249ar_shoots
222lake

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

Faceit stats

Combat

77Matches
40%Win rate
0.99Avg K/D
84.0ADR
32%Headshot %

Clutches & streaks

20%1v1 clutch win
3%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2352%1.0115.9
Ancient1735%0.9816.4
Anubis956%1.2816.3
Vertigo633%1.0016.8
Cache633%1.4415.0
Overpass40%0.7813.5
Nuke10%0.538.0
Mirage1100%1.8220.0

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.

15.2%Headshot accuracy
38.2%Accuracy (enemy spotted)
36.2%Spray accuracy
80.8%Counter-strafing
9.1°Preaim
575msReaction time
68.1%T opening success
56.6%CT opening success
0.57Enemies flashed / flash
10.2%Flash assists
7.58HE damage / grenade
9.01Flashes / match

Recommended for you

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.

13% win rate across 8 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
anubis9–130.0210%3 Nov →
inferno13–40.0612%3 Nov →
anubis10–13-0.036%3 Nov →
dust28–13-0.0216%2 Nov →
anubis13–10-0.0315%2 Nov →
inferno5–13-0.0621%2 Nov →
inferno11–130.0317%27 Oct →
anubis7–130.0224%27 Oct →
cache13–100.0150%26 Oct →
mirage3–13-0.0633%26 Oct →
overpass13–10-0.0511%20 Oct →
inferno13–40.0819%20 Oct →
ancient13–3-0.0412%20 Oct →
anubis13–30.069%20 Oct →
anubis4–13-0.059%19 Oct →
dust210–13-0.0113%19 Oct →
dust25–13-0.0710%19 Oct →
inferno13–20.015%19 Oct →
anubis13–80.0123%13 Oct →
dust29–13-0.0216%13 Oct →
anubis16–140.0512%13 Oct →
inferno13–7-0.0110%12 Oct →
dust216–130.0318%12 Oct →
mirage13–70.0218%12 Oct →
cache5–13-0.0113%5 Oct →
dust212–160.0611%5 Oct →
poseidon9–50.0723%29 Sept →
anubis13–50.0511%29 Sept →
mirage13–20.026%28 Sept →
dust29–13-0.0418%28 Sept →
ancient16–130.0517%28 Sept →
anubis10–130.0215%22 Sept →
ancient13–90.0115%22 Sept →
ancient7–13-0.039%22 Sept →
anubis8–13-0.068%22 Sept →
anubis13–30.035%21 Sept →
cache10–13-0.053%21 Sept →
ancient6–13-0.025%21 Sept →
cache13–16-0.0115%15 Sept →
inferno4–13-0.0115%15 Sept →
anubis13–11-0.0120%15 Sept →
ancient11–13-0.0017%14 Sept →
ancient6–13-0.069%14 Sept →
inferno6–130.0029%8 Sept →
poseidon8–80.0413%24 Aug →
debris8–80.1419%24 Aug →
anubis13–50.0117%17 Aug →
inferno13–11-0.0314%17 Aug →
inferno6–13-0.0627%11 Aug →
anubis9–13-0.0111%11 Aug →
inferno3–13-0.0414%11 Aug →
anubis7–13-0.0114%10 Aug →
poseidon6–9-0.0225%4 Aug →
debris3–9-0.1013%4 Aug →
anubis11–13-0.0412%4 Aug →
ancient5–13-0.0416%4 Aug →
cache13–70.1017%4 Aug →
inferno4–13-0.0516%3 Aug →
cache13–10-0.0325%3 Aug →
inferno13–10-0.0213%3 Aug →
ancient16–14-0.0124%28 Jul →
inferno13–9-0.0231%28 Jul →
inferno13–10-0.0317%28 Jul →
inferno8–13-0.0713%27 Jul →
inferno10–13-0.0312%27 Jul →
cache6–13-0.0514%27 Jul →
ancient13–4-0.0210%21 Jul →
dust26–130.0526%21 Jul →
cache7–130.0119%21 Jul →
cache3–13-0.0450%21 Jul →
cache13–7-0.0217%20 Jul →
inferno13–110.019%20 Jul →
ancient13–20.0643%20 Jul →
cache11–130.0113%14 Jul →
inferno6–13-0.0114%14 Jul →
ancient13–11-0.0214%13 Jul →
inferno13–100.0316%7 Jul →
ancient19–170.0211%7 Jul →
cache13–10.0750%7 Jul →
inferno16–13-0.0413%6 Jul →
anubis6–13-0.069%30 Jun →
cache2–13-0.0422%30 Jun →
cache10–130.0415%30 Jun →
anubis13–11-0.055%29 Jun →
ancient14–160.0614%29 Jun →
ancient15–150.0415%23 Jun →
nuke9–13-0.0526%23 Jun →
ancient10–130.0123%22 Jun →
ancient13–90.1015%22 Jun →
overpass14–16-0.0212%16 Jun →
anubis13–50.1013%16 Jun →
anubis9–0-0.020%16 Jun →
poseidon3–9-0.0519%16 Jun →
inferno13–50.0418%15 Jun →
inferno13–3-0.0229%15 Jun →
cache11–13-0.0217%9 Jun →
ancient9–13-0.0112%9 Jun →
poseidon2–9-0.0520%2 Jun →
inferno16–19-0.059%2 Jun →
inferno8–13-0.0012%2 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.