PINK PONY CHUD

PINK PONY CHUD — CS2 Stats

GB76561198150992435[U:1:190726707]Steam profile ↗✓ No bans

835Tracked matches39%Win rate2020Tracked since
1,125Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating15,381Purple band · top ~26.9% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (11 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: 15,381 -709 10 Jun – 27 Sept · 55 days played
15,38120,439peak 20,43910 Jun27 Sept
20,439Peak Premier in tracked matches
66Days played since 2026-06-10

Premier CS Rating

  • 5,058 below peak (20,439)
  • -1,242 over 30 days · declining
  • -880 over 90 days
  • Next: Pink band at 20,000 — 4,619 to go
  • Reached: Pink band · 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches16——
Win rate50%——
K/D1.05——
Headshot %44%——

Measured 6 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 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 rate37.0%44.3%46.9%10.0% short
Shot accuracy10.1%11.9%13.0%2.9% short
Kill/death ratio0.981.031.080.10 short
Match win rate44.2%45.2%46.7%2.5% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGPINK PONY CHUDPREMIER15,381 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning46
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLWLLLWWLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.8pp headshot accuracy · −58ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 475ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 513ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 542ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim7.3
Utility6.0
Positioning4.6
Opening Duels3.9
Clutch2.6

Excellent counter-strafing

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

device

Plays most like device 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 600ms 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

Aim7.3
Positioning4.6
Utility6.0
Mechanics8.5
Opening Duels4.1
Win Impact1.4

Composite 5.8/10 (Solid), 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+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time584ms−82ms
first ⅓ avg 666ms → last ⅓ avg 584ms
Headshot accuracy16.1%+0.0%
first ⅓ avg 16.1% → last ⅓ avg 16.1%

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

0.24Best match rating · 9–3 · nuke, 8 Sept →
30%Best headshot accuracy · 13–2 · mirage, 27 Jul →
406msFastest reaction time · 7–13 · dust2, 23 Aug →
13–2Biggest win · mirage, 27 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 50% over 34infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B3417–1750%-0.01
mirageC228–1436%-0.00
infernoD134–931%-0.01
cacheB126–650%-0.01
ancientB105–550%-0.03
anubisC52–340%-0.00
nuke—42–250%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,439Lifetime kills
0.98K/D
2,913Matches
44.2%Match win rate
37.0%Headshot %
10.1%Shot accuracy
7,456MVPs
1,125Hours (in match)
2,639Bombs planted
526Bombs defused

Most-used weapons

AK-4712,694
AWP5,679
P902,248
MP91,247
Tec-91,166
P2501,143

Lifetime map wins

5,480dust2
4,431inferno
1,335nuke
792train
511office
450cbble
112safehouse
99bank

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

Faceit stats

Combat

115Matches
50%Win rate
1.26Avg K/D
62.5ADR
33%Headshot %

Clutches & streaks

33%1v1 clutch win
50%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%0.829.5
Mirage10%0.5716.0

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.

16.6%Headshot accuracy
34.7%Accuracy (enemy spotted)
34.1%Spray accuracy
88.4%Counter-strafing
9.0°Preaim
600msReaction time
40.6%T opening success
52.6%CT opening success
0.52Enemies flashed / flash
9.0%Flash assists
13.22HE damage / grenade
7.18Flashes / match

Recommended for you

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–80.000%27 Sept →
dust213–80.0625%18 Sept →
inferno2–13-0.0419%18 Sept →
mirage5–130.017%17 Sept →
mirage6–130.0113%16 Sept →
dust213–50.0327%15 Sept →
mirage13–60.0511%14 Sept →
inferno4–13-0.0520%14 Sept →
mirage6–13-0.0023%13 Sept →
dust213–50.0613%13 Sept →
dust211–13-0.0118%11 Sept →
dust20–7-0.0622%10 Sept →
dust213–11-0.0114%9 Sept →
cache5–130.0220%9 Sept →
dust213–30.0626%8 Sept →
nuke9–30.2416%8 Sept →
dust27–13-0.0719%6 Sept →
ancient2–00.070%6 Sept →
inferno10–130.0317%5 Sept →
dust213–60.0224%4 Sept →
dust21–13-0.0310%2 Sept →
nuke13–4-0.0114%1 Sept →
mirage15–150.0411%29 Aug →
anubis15–150.0110%28 Aug →
cache13–90.0222%28 Aug →
ancient5–13-0.0419%27 Aug →
dust27–130.1227%27 Aug →
ancient13–30.0223%26 Aug →
cache8–13-0.034%26 Aug →
inferno6–130.019%25 Aug →
ancient8–13-0.0711%25 Aug →
mirage10–13-0.0617%25 Aug →
mirage13–100.0219%24 Aug →
mirage9–13-0.0710%23 Aug →
ancient9–13-0.0321%23 Aug →
dust27–13-0.076%23 Aug →
inferno13–110.0214%22 Aug →
nuke9–13-0.0917%22 Aug →
dust24–13-0.0525%22 Aug →
cache7–13-0.0513%20 Aug →
mirage5–130.0423%19 Aug →
mirage7–130.0219%18 Aug →
dust28–130.0116%18 Aug →
dust28–130.0616%17 Aug →
anubis13–100.0217%16 Aug →
dust24–13-0.0214%15 Aug →
cache13–9-0.0126%15 Aug →
dust23–13-0.0410%15 Aug →
dust216–140.0417%11 Aug →
mirage13–4-0.0112%11 Aug →
dust213–11-0.0020%10 Aug →
dust213–9-0.0128%9 Aug →
inferno12–110.0212%9 Aug →
cache13–100.0016%8 Aug →
anubis13–80.0316%8 Aug →
inferno4–00.010%8 Aug →
dust211–130.0115%7 Aug →
inferno13–50.0117%6 Aug →
dust29–13-0.0416%6 Aug →
dust25–130.0316%4 Aug →
ancient13–9-0.0316%3 Aug →
dust24–6-0.170%2 Aug →
ancient9–13-0.0913%30 Jul →
mirage13–8-0.0126%30 Jul →
cache15–150.0313%30 Jul →
cache13–80.0220%29 Jul →
dust213–70.0118%28 Jul →
dust29–13-0.0317%27 Jul →
inferno9–13-0.0016%27 Jul →
mirage13–20.0130%27 Jul →
dust213–10-0.0221%25 Jul →
cache13–60.0327%24 Jul →
dust213–10-0.076%23 Jul →
ancient13–7-0.0416%21 Jul →
anubis11–13-0.027%20 Jul →
dust213–90.0227%18 Jul →
mirage13–10-0.0316%18 Jul →
cache8–13-0.117%17 Jul →
cache13–110.0311%16 Jul →
inferno13–6-0.0115%14 Jul →
dust213–8-0.0211%13 Jul →
cache2–13-0.0729%12 Jul →
mirage13–80.0516%12 Jul →
mirage9–13-0.0624%10 Jul →
inferno6–13-0.0124%10 Jul →
ancient4–13-0.089%30 Jun →
mirage13–100.037%30 Jun →
inferno6–13-0.1014%29 Jun →
mirage15–15-0.045%28 Jun →
mirage15–150.0215%27 Jun →
ancient13–8-0.0419%27 Jun →
dust210–130.0214%26 Jun →
mirage15–15-0.048%26 Jun →
anubis8–13-0.0422%21 Jun →
mirage7–13-0.0524%21 Jun →
mirage14–16-0.055%15 Jun →
dust216–14-0.0220%14 Jun →
inferno3–13-0.0315%12 Jun →
dust213–110.0024%11 Jun →
dust213–10-0.0410%10 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 →

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