Pinkie Pie

Pinkie Pie — CS2 Stats

SE76561197962769471[U:1:2503743]Steam profile ↗✓ No bans

2,308Tracked matches61%Win rate2024Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating13,349Blue band · top ~37.1% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 13,349 +472 30 Aug – 25 Oct · 23 days played
11,74814,865peak 14,86530 Aug25 Oct
14,999Peak Premier in tracked matches
24Days played since 2026-08-30

Premier CS Rating

  • 1,516 below peak (14,865)
  • -1,329 over 30 days · declining
  • Next: Purple band at 15,000 — 1,651 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGPinkie PiePREMIER13,349 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning43
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateLLLTTWWWWW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −1.2pp headshot accuracy · −21ms 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 578ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 614ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 625ms

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 (+2.1 against its own average).

Aim4.6
Utility5.7
Positioning4.3
Opening Duels0.8

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

ZywOo

Plays most like ZywOo 70% 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

CT openings. Opening success drops from 51% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 622ms 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

Aim4.6
Positioning4.3
Utility5.7
Mechanics5.7
Opening Duels2.7
Win Impact8.6

Composite 4.8/10 (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 rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time616ms−51ms
first ⅓ avg 668ms → last ⅓ avg 616ms
Headshot accuracy12.2%−1.5%
first ⅓ avg 13.7% → last ⅓ avg 12.2%

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

0.09Best match rating · 11–13 · cache, 12 Sept →
31%Best headshot accuracy · 13–6 · anubis, 12 Sept →
453msFastest reaction time · 8–13 · dust2, 22 Oct →
13–2Biggest win · anubis, 24 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
6–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 76% over 17cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2214–864%-0.00
ancientS1713–476%-0.02
anubisA1610–663%-0.00
dust2C167–944%-0.02
nukeA116–555%-0.04
cacheD103–730%-0.01
mirageD62–433%-0.01
vertigo—20–20%-0.04

Across the last 100 tracked matches.

Skill profile

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

12.4%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.3%Spray accuracy
75.5%Counter-strafing
10.6°Preaim
622msReaction time
51.1%T opening success
30.6%CT opening success
0.58Enemies flashed / flash
5.9%Flash assists
10.21HE damage / grenade
5.41Flashes / 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 12.3678% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.6393% — below the 40% mark we flag

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0914%25 Oct →
ancient10–13-0.0612%25 Oct →
anubis10–13-0.0315%25 Oct →
inferno15–15-0.0111%24 Oct →
cache15–15-0.0224%24 Oct →
dust213–5-0.049%24 Oct →
anubis13–20.0211%24 Oct →
nuke13–7-0.0110%24 Oct →
anubis13–70.0112%24 Oct →
inferno13–7-0.043%24 Oct →
dust213–11-0.0114%24 Oct →
ancient13–70.0013%24 Oct →
inferno13–80.0222%23 Oct →
cache13–16-0.018%23 Oct →
dust213–8-0.0513%23 Oct →
dust210–4-0.0215%23 Oct →
dust28–13-0.076%22 Oct →
ancient13–8-0.0613%22 Oct →
cache16–14-0.0415%22 Oct →
dust211–13-0.0114%20 Oct →
inferno9–13-0.0710%18 Oct →
inferno13–90.0215%17 Oct →
cache13–8-0.0614%17 Oct →
inferno5–13-0.0415%17 Oct →
anubis10–13-0.0213%17 Oct →
inferno11–13-0.0213%17 Oct →
inferno13–9-0.038%17 Oct →
anubis13–70.0111%17 Oct →
nuke8–13-0.116%16 Oct →
inferno13–100.029%16 Oct →
ancient13–30.0210%16 Oct →
cache15–150.019%16 Oct →
mirage7–13-0.0317%16 Oct →
inferno10–13-0.029%16 Oct →
vertigo9–13-0.0413%16 Oct →
nuke13–8-0.0721%15 Oct →
anubis13–50.0512%15 Oct →
dust28–13-0.0416%14 Oct →
inferno13–20.0520%14 Oct →
ancient13–80.0517%14 Oct →
ancient13–5-0.066%14 Oct →
inferno9–13-0.0418%14 Oct →
anubis13–90.0112%14 Oct →
mirage7–130.009%11 Oct →
inferno13–9-0.0214%11 Oct →
inferno13–70.058%10 Oct →
anubis13–50.0814%10 Oct →
mirage9–130.0110%10 Oct →
mirage6–13-0.0423%10 Oct →
cache13–8-0.0417%10 Oct →
anubis13–80.0216%9 Oct →
inferno13–7-0.0415%9 Oct →
inferno13–50.086%9 Oct →
anubis9–13-0.035%9 Oct →
anubis11–13-0.0318%9 Oct →
ancient13–6-0.0116%9 Oct →
inferno11–130.0117%3 Oct →
ancient13–9-0.0418%3 Oct →
ancient13–10-0.0014%3 Oct →
ancient9–13-0.017%3 Oct →
cache13–160.0616%2 Oct →
dust27–130.0111%2 Oct →
nuke15–15-0.0611%2 Oct →
dust29–13-0.0213%2 Oct →
cache5–13-0.1111%26 Sept →
ancient8–13-0.0614%25 Sept →
mirage16–14-0.0113%25 Sept →
vertigo10–13-0.0418%25 Sept →
dust21–13-0.086%19 Sept →
dust213–60.0116%19 Sept →
nuke8–130.0114%19 Sept →
ancient13–5-0.0612%19 Sept →
inferno13–6-0.0912%19 Sept →
inferno13–40.0315%19 Sept →
ancient5–13-0.108%19 Sept →
mirage13–10-0.017%18 Sept →
nuke15–150.016%18 Sept →
anubis13–90.0312%18 Sept →
nuke13–6-0.029%18 Sept →
ancient13–70.0313%18 Sept →
cache11–13-0.0110%18 Sept →
cache11–130.0917%12 Sept →
dust211–13-0.0417%12 Sept →
inferno13–110.0014%12 Sept →
nuke13–8-0.0316%12 Sept →
ancient13–7-0.0015%12 Sept →
anubis13–60.0431%12 Sept →
dust26–13-0.0213%12 Sept →
dust211–130.0218%11 Sept →
nuke13–11-0.045%11 Sept →
ancient13–7-0.0117%5 Sept →
dust213–110.0512%5 Sept →
inferno13–100.0518%5 Sept →
ancient13–8-0.0112%5 Sept →
inferno10–130.0720%4 Sept →
nuke8–13-0.0511%4 Sept →
dust213–100.0319%4 Sept →
nuke13–10-0.039%4 Sept →
anubis13–70.0320%4 Sept →
anubis14–16-0.119%30 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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