Phoebe Cumbottom

Phoebe Cumbottom — CS2 Stats

BD76561198263296273[U:1:303030545]Steam profile ↗✓ No bans

770Tracked matches52%Win rate2022Tracked since
1,326Hours in CS12Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating17,695Purple band · top ~17.7% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,695 → 17,695
+5Tracked matches · now 770
−3.4ppWin rate · 55.2% → 51.7%
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. 31 days played since 20 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,695 -1,118 20 Jul18 Sept · 34 days played
16,87519,770peak 19,77020 Jul18 Sept
19,770Peak Premier in tracked matches
31Days played since 2026-07-20

Premier CS Rating

  • 2,075 below peak (19,770)
  • +125 over 30 days · steady
  • Next: Pink band at 20,000 2,305 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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=36,319), 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 rate34.3%44.3%46.9%12.6% short
Shot accuracy13.7%11.8%13.0%above
Kill/death ratio1.201.031.08above
Match win rate48.3%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot 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.GGPhoebe CumbottomPREMIER17,695 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning48
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateLLLLWLWWLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −6.9pp headshot accuracy · −0ms reaction

Win rate down 20pp 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

  • 14 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 516ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 571ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 571ms

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: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.7
Utility5.3
Positioning4.8
Opening Duels0.9

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.7
Positioning4.8
Utility5.3
Mechanics4.7
Opening Duels1.7
Win Impact5.6

Composite 5.2/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time536ms−62ms
first ⅓ avg 597ms → last ⅓ avg 536ms
Headshot accuracy14.9%+0.2%
first ⅓ avg 14.7% → 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

0.30Best match rating · 9–2 · inferno, 21 Jul
50%Best headshot accuracy · 2–1 · dust2, 9 Sept
328msFastest reaction time · 13–4 · dust2, 12 Aug
13–2Biggest win · mirage, 10 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
1110In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 56% over 9ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB2091145%-0.00
dust2C167944%-0.01
mirageB158753%0.00
anubisC135838%0.01
infernoB126650%0.02
cacheA95456%0.00
ancientD72529%-0.01
vertigo32167%0.05
eldorado2020%-0.02
debris21150%0.08
overpass110100%0.16

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.

Lifetime stats

46,621Lifetime kills
1.20K/D · Top 25% of Purple band
2,468Matches
48.3%Match win rate · Top 25% of Purple band
34.3%Headshot %
13.7%Shot accuracy · Top 50% of Purple band
9,221MVPs
710Hours (in match)
3,136Bombs planted
613Bombs defused

Most-used weapons

AK-479,351
AWP6,715
P901,501
MP91,495
MAC-101,374
MP71,177

Lifetime map wins

2,654dust2
1,817nuke
1,458inferno
517lake
467vertigo
320cbble
237train
180office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
42.3%Spray accuracy
71.1%Counter-strafing
9.4°Preaim
530msReaction time
27.1%T opening success
43.7%CT opening success
0.50Enemies flashed / flash
7.4%Flash assists
8.75HE damage / grenade
7.22Flashes / 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 13.5772% — below the 15% mark we flag

    Aim Training
  2. 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 0.4984 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.1213% — 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 & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.058%18 Sept
anubis1–13-0.128%18 Sept
nuke5–13-0.0210%18 Sept
ancient1–13-0.037%18 Sept
nuke13–80.0821%18 Sept
mirage8–130.0225%16 Sept
dust213–11-0.0613%16 Sept
nuke16–120.0213%13 Sept
cache8–13-0.0511%13 Sept
mirage13–8-0.0112%13 Sept
inferno11–130.0719%12 Sept
dust213–5-0.0212%10 Sept
mirage13–20.1230%10 Sept
inferno13–110.0312%9 Sept
dust22–1-0.0650%9 Sept
nuke13–9-0.0121%4 Sept
dust215–15-0.0110%4 Sept
dust24–13-0.0219%4 Sept
mirage3–13-0.0411%30 Aug
cache16–14-0.0114%28 Aug
anubis13–110.0412%28 Aug
anubis13–100.044%25 Aug
anubis6–130.058%25 Aug
ancient7–13-0.0411%25 Aug
dust22–13-0.076%24 Aug
dust213–30.0820%24 Aug
mirage8–13-0.0918%21 Aug
mirage13–50.0613%17 Aug
nuke13–9-0.059%17 Aug
cache6–13-0.0013%17 Aug
nuke16–14-0.0018%14 Aug
ancient8–13-0.0319%14 Aug
anubis11–130.0215%14 Aug
dust213–40.0617%12 Aug
mirage8–13-0.0412%11 Aug
inferno10–130.0318%11 Aug
inferno13–90.0112%9 Aug
dust28–13-0.029%9 Aug
ancient13–80.0314%9 Aug
anubis9–13-0.029%9 Aug
nuke5–130.0227%7 Aug
ancient10–130.049%7 Aug
mirage14–160.0215%7 Aug
eldorado3–9-0.066%6 Aug
nuke9–70.069%6 Aug
debris8–80.1513%6 Aug
inferno8–80.0026%6 Aug
vertigo9–40.168%6 Aug
inferno13–40.047%6 Aug
nuke11–130.068%6 Aug
mirage13–110.0223%6 Aug
mirage13–6-0.0411%6 Aug
inferno11–13-0.0427%5 Aug
dust26–130.0013%5 Aug
cache13–110.0410%5 Aug
ancient13–9-0.0215%5 Aug
mirage9–130.0012%4 Aug
dust29–13-0.059%4 Aug
nuke8–130.0718%4 Aug
ancient8–13-0.0518%4 Aug
cache13–5-0.0117%2 Aug
nuke11–130.039%2 Aug
nuke13–5-0.0212%2 Aug
inferno8–8-0.128%2 Aug
nuke4–9-0.150%2 Aug
vertigo6–13-0.0421%1 Aug
inferno13–50.0423%1 Aug
dust213–16-0.0521%1 Aug
vertigo13–60.0311%30 Jul
nuke12–10.0722%30 Jul
cache13–70.049%30 Jul
mirage13–4-0.0319%30 Jul
mirage13–7-0.0821%30 Jul
anubis9–13-0.0120%30 Jul
nuke7–13-0.0525%30 Jul
nuke11–13-0.0118%29 Jul
mirage13–90.0519%29 Jul
anubis10–130.077%29 Jul
dust27–13-0.0511%29 Jul
cache13–110.0115%25 Jul
anubis14–160.0215%25 Jul
dust213–50.0416%25 Jul
cache3–13-0.0219%24 Jul
anubis16–13-0.0419%24 Jul
cache10–130.0210%24 Jul
mirage6–130.0614%24 Jul
nuke7–13-0.035%24 Jul
nuke13–10-0.0113%24 Jul
nuke11–13-0.016%24 Jul
inferno4–13-0.0614%24 Jul
anubis16–13-0.0113%23 Jul
dust29–130.0514%23 Jul
dust213–70.0812%22 Jul
inferno13–10-0.0615%22 Jul
anubis13–20.095%21 Jul
overpass13–40.1613%21 Jul
eldorado7–90.0110%21 Jul
debris9–70.029%21 Jul
inferno9–20.3027%21 Jul
anubis6–13-0.0315%20 Jul

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 →