Pummy Cumpkin

Pummy Cumpkin — CS2 Stats

76561198040619137[U:1:80353409]Steam profile ↗✓ No bans

1,163Tracked matches70%Win rate2020Tracked since
3,309Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingClutch Specialist
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,163
0.0ppWin rate · 70.0% → 70.0%

Rating over time

Premier CS Rating: 20,966 -1,730 19 Oct – 29 Jun · 14 days played
18,61825,472peak 25,47219 Oct29 Jun
25,573Peak Premier in tracked matches
38Days played since 2025-04-24

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches30—
Win rate33%——
K/D0.66——
Headshot %57%——

Measured 24 Sep 2026 → 29 Oct 2026; previous 3 Sep 2026 → 24 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate44.0%48.2%50.9%6.9% short
Shot accuracy14.6%13.2%13.7%above
Kill/death ratio0.951.071.090.13 short
Match win rate51.2%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPummy CumpkinFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning44
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY65–31–4Last 10065%Win rateLLWLWWWLWW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −1.1pp headshot accuracy · −31ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 40%
  • Avg reaction 586ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 27%
  • Avg reaction 527ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 28%
  • Avg reaction 543ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.2 against its own average).

Aim6.1
Utility1.0
Positioning4.4
Opening Duels2.1
Clutch9.4

Limited utility dependenceReliable in 1v1s

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

sh1ro

Plays most like sh1ro 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim6.1
Positioning4.4
Utility1.0
Mechanics7.6
Opening Duels1.8
Win Impact10.0

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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time558ms−124ms
first ⅓ avg 682ms → last ⅓ avg 558ms
Headshot accuracy25.0%+9.2%
first ⅓ avg 15.8% → last ⅓ avg 25.0%

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 · 13–2 · mirage, 18 Dec →
100%Best headshot accuracy · 2–2 · inferno, 22 Oct →
313msFastest reaction time · 0–5 · inferno, 27 Jun →
13–1Biggest win · dust2, 31 Mar →

Across the last 100 tracked matches.

Highlights

12Longest win streak
L2Current streak
7–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 83% over 6trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2517–868%-0.03
mirageB2412–1250%-0.02
nukeS1613–381%-0.02
infernoS97–278%-0.03
ancientS96–367%-0.03
overpassS65–183%-0.04
trainC52–340%-0.04
cache—32–167%-0.04
anubis—31–233%-0.05

Across the last 100 tracked matches.

Lifetime stats

78,850Lifetime kills
0.95K/D
4,820Matches
51.2%Match win rate · Top 25% of Level 9 players
44.0%Headshot %
14.6%Shot accuracy · Top 50% of Level 9 players
8,671MVPs
1,879Hours (in match)
1,838Bombs planted
1,496Bombs defused

Most-used weapons

AK-4720,486
AWP8,478
SSG 082,407
P902,027
FAMAS1,643
P2501,604

Lifetime map wins

7,900dust2
7,758inferno
4,440nuke
1,271vertigo
994train
907cbble
468office
420aztec

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

Faceit stats

Combat

190Matches
58%Win rate
0.84Avg K/D
55.0ADR
49%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3543%0.7610.6
Anubis1464%0.7712.1
Inferno1457%0.9513.3
Overpass978%0.7512.3
Ancient667%0.8010.2
Thera20%0.5010.5
Dust220%0.426.5
Nuke1100%1.8018.0

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.

22.9%Headshot accuracy
27.0%Accuracy (enemy spotted)
29.0%Spray accuracy
84.3%Counter-strafing
10.3°Preaim
578msReaction time
26.4%T opening success
44.4%CT opening success
0.17Enemies flashed / flash
0.0%Flash assists
7.12HE damage / grenade
0.36Flashes / 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 0.1664 — 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 26.3655% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0424%22 Oct →
dust28–13-0.0521%22 Oct →
inferno2–2-0.04100%22 Oct →
mirage9–13-0.0326%3 Sept →
ancient13–7-0.0428%3 Sept →
nuke13–4-0.0316%3 Sept →
inferno13–9-0.0411%3 Sept →
mirage0–3-0.030%29 Aug →
ancient13–11-0.0227%29 Aug →
cache13–6-0.0621%29 Aug →
mirage13–10-0.060%29 Jun →
anubis11–13-0.0622%29 Jun →
dust213–9-0.0131%29 Jun →
inferno0–5-0.06100%27 Jun →
anubis13–2-0.0126%27 Jun →
mirage13–9-0.0422%27 Jun →
ancient16–13-0.0619%27 Jun →
dust213–8-0.0017%27 Jun →
nuke13–9-0.0321%27 Jun →
cache13–8-0.0328%9 May →
nuke13–60.0616%9 May →
inferno13–7-0.0231%9 May →
ancient13–60.0123%2 May →
dust213–9-0.0016%2 May →
inferno13–9-0.0331%2 May →
mirage13–50.0219%1 May →
cache8–13-0.0324%1 May →
mirage11–13-0.0430%24 Apr →
dust213–16-0.0724%24 Apr →
ancient13–50.0416%24 Apr →
nuke0–13-0.050%24 Apr →
ancient13–11-0.0323%12 Apr →
mirage6–13-0.0414%12 Apr →
ancient9–13-0.0626%8 Apr →
mirage10–13-0.0523%7 Apr →
dust23–13-0.0823%7 Apr →
dust213–10.0339%31 Mar →
inferno13–6-0.0324%31 Mar →
dust213–9-0.0326%31 Mar →
mirage15–15-0.0116%31 Mar →
anubis8–13-0.0716%26 Mar →
overpass13–9-0.0415%26 Mar →
inferno10–13-0.0321%26 Mar →
dust213–100.0129%26 Mar →
dust210–13-0.0610%22 Jan →
nuke13–8-0.0415%17 Jan →
dust213–50.0215%17 Jan →
mirage7–13-0.0615%17 Jan →
train13–8-0.0224%7 Jan →
nuke13–10.0315%7 Jan →
mirage13–40.0421%7 Jan →
nuke13–8-0.0727%6 Jan →
mirage11–13-0.0423%2 Jan →
train11–13-0.0731%2 Jan →
nuke5–13-0.0526%2 Jan →
mirage11–13-0.0511%1 Jan →
dust213–11-0.0313%1 Jan →
overpass13–50.0318%18 Dec →
mirage13–20.1018%18 Dec →
dust27–13-0.0621%18 Dec →
dust23–13-0.0922%18 Dec →
mirage7–13-0.0714%10 Dec →
nuke13–8-0.0213%10 Dec →
overpass15–15-0.0813%10 Dec →
mirage7–13-0.0711%15 Nov →
inferno5–00.0017%15 Nov →
train13–7-0.0115%15 Nov →
mirage13–60.0020%15 Nov →
dust213–9-0.0622%15 Nov →
inferno13–6-0.0315%8 Nov →
overpass13–7-0.062%8 Nov →
mirage13–7-0.0020%2 Nov →
mirage13–11-0.0620%19 Oct →
dust216–14-0.0121%19 Oct →
mirage13–90.0521%19 Oct →
overpass13–11-0.0719%19 Oct →
dust211–13-0.0613%10 Oct →
overpass13–8-0.0410%10 Oct →
dust213–6-0.0324%1 Oct →
mirage13–9-0.0413%25 Sept →
nuke13–8-0.067%25 Sept →
dust213–20.0213%17 Sept →
ancient12–12-0.0312%17 Sept →
mirage13–4-0.0018%22 Aug →
train12–12-0.0518%29 Jul →
ancient11–13-0.0920%29 Jul →
nuke13–6-0.0725%29 Jul →
nuke13–30.0614%29 Jul →
mirage2–13-0.0623%29 Jul →
dust213–9-0.0218%25 Jul →
nuke13–9-0.0310%25 Jul →
dust21–13-0.0427%11 Jul →
nuke13–3-0.0019%8 Jun →
mirage13–20.0521%15 May →
train11–13-0.0410%15 May →
dust213–20.0317%15 May →
nuke13–60.0124%2 May →
dust213–2-0.070%2 May →
dust213–5-0.070%2 May →
dust213–9-0.039%24 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
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.