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Pineapple — CS2 Stats

EC76561198848251271[U:1:887985543]Steam profile ↗✓ No bans

1,216Tracked matches54%Win rate2020Tracked since
3,673Hours in CS0Hrs last 2 wks
CSDB Rating6.7 SolidClutch Specialist
Premier CS Rating21,472Top 50% of 215,558 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#64644 of 261680 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (23 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: 21,472 -6,773 4 Apr – 23 Oct · 33 days played
21,47228,534peak 28,5344 Apr23 Oct
Faceit ELO: 2,281 +0 8 Sept – 4 Oct · 6 observations
2,2812,281peak 2,2818 Sept4 Oct
28,720Peak Premier in tracked matches
2,281Highest Faceit ELO seen on CSDB
45Days played since 2026-04-04

Premier CS Rating

  • 7,062 below peak (28,534)
  • -3,016 over 30 days · declining
  • Next: Red band at 25,000 — 3,528 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-08
  • Purple band first seen 2026-09-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=42,632), 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 playerPink band medianRed band medianvs Red band
Headshot rate55.6%46.9%49.3%above
Shot accuracy14.6%13.0%13.3%above
Kill/death ratio1.151.081.12above
Match win rate46.4%46.7%48.5%2.1% short

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

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

Share this profile

CSDB.GGPineapplePREMIER21,472 · Pink bandPEAK ELO2,281csdb.gg/stats

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Performance scores

Aim86
Positioning50
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateLTWLWLLWWW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −9.0pp headshot accuracy · −19ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 533ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 546ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 556ms

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 (+1.3 against its own average).

Aim8.6
Utility4.6
Positioning5.0
Opening Duels2.0
Clutch5.6

Sharp aimerExcellent counter-strafingLimited utility dependence

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 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

Reaction time. 590ms 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

Aim8.6
Positioning5.0
Utility4.6
Mechanics9.4
Opening Duels2.8
Win Impact6.2

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time576ms−24ms
first ⅓ avg 600ms → last ⅓ avg 576ms
Headshot accuracy24.8%+5.9%
first ⅓ avg 18.9% → last ⅓ avg 24.8%

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

0.19Best match rating · 13–4 · dust2, 2 May →
100%Best headshot accuracy · 1–13 · dust2, 8 Aug →
414msFastest reaction time · 4–13 · mirage, 29 May →
13–0Biggest win · inferno, 28 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 73% over 11cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C3313–2039%0.02
infernoC166–1038%-0.01
mirageS118–373%0.02
nukeD103–730%0.02
ancientA95–456%0.00
cacheD72–529%0.02
anubisA74–357%0.02
vertigo—21–150%0.13
poseidon—21–150%0.01
overpass—22–0100%-0.02
sanctum—10–10%0.02

Across the last 100 tracked matches.

Lifetime stats

122,893Lifetime kills
1.15K/D · Top 50% of Pink band
4,329Matches
46.4%Match win rate
55.6%Headshot % · Top 25% of Pink band
14.6%Shot accuracy · Top 50% of Pink band
17,861MVPs
2,004Hours (in match)
4,253Bombs planted
1,100Bombs defused

Most-used weapons

AK-4747,137
AWP13,092
SSG 083,405
SG 5532,774
FAMAS1,975

Lifetime map wins

15,077dust2
4,864inferno
1,649train
1,521vertigo
1,485nuke
316cbble
108lake
83safehouse

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

Faceit stats

Combat

287Matches
66%Win rate
1.40Avg K/D
87.8ADR
48%Headshot %

Clutches & streaks

48%1v1 clutch win
15%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust22171%1.4817.5
Mirage1464%1.2017.6
Anubis1070%1.3217.9
Inferno667%1.1113.0
Vertigo580%1.5621.0
Ancient367%1.1314.3
Nuke250%1.1620.0
Train1100%1.5326.0

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.

22.8%Headshot accuracy
34.2%Accuracy (enemy spotted)
34.5%Spray accuracy
92.2%Counter-strafing
6.8°Preaim
590msReaction time
46.0%T opening success
36.2%CT opening success
0.61Enemies flashed / flash
7.9%Flash assists
8.04HE damage / grenade
4.30Flashes / 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. Advanced Mechanics

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

    CT opening duels 36.2382% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust214–160.0026%23 Oct →
nuke15–15-0.0312%19 Oct →
mirage13–100.0218%19 Oct →
dust23–13-0.0121%10 Oct →
dust213–50.1316%10 Oct →
dust24–13-0.0319%10 Oct →
dust23–13-0.0223%8 Oct →
dust213–3-0.0318%11 Sept →
mirage13–90.0523%15 Aug →
ancient13–2-0.0014%14 Aug →
ancient13–110.0218%8 Aug →
dust21–13-0.05100%8 Aug →
dust213–30.0818%8 Aug →
ancient13–30.0226%8 Aug →
dust20–13-0.080%8 Aug →
cache11–130.0120%8 Aug →
nuke13–50.1336%30 Jul →
anubis13–100.0319%29 Jul →
dust216–120.0837%29 Jul →
mirage13–30.128%29 Jul →
nuke10–130.0217%24 Jul →
mirage13–100.0015%24 Jul →
dust24–13-0.0420%21 Jul →
cache9–13-0.0027%7 Jul →
vertigo7–130.1530%4 Jul →
anubis10–130.0916%2 Jul →
dust212–12-0.0213%28 Jun →
mirage13–60.0230%28 Jun →
inferno13–0-0.0150%28 Jun →
nuke7–130.0345%19 Jun →
mirage13–80.0224%18 Jun →
ancient11–130.0123%18 Jun →
dust25–130.0236%18 Jun →
dust215–15-0.0324%16 Jun →
anubis15–150.0122%16 Jun →
dust211–13-0.0124%31 May →
ancient4–13-0.0314%31 May →
dust210–130.0520%29 May →
mirage4–13-0.0116%29 May →
ancient13–16-0.0321%27 May →
inferno13–16-0.0329%27 May →
dust213–100.0913%24 May →
nuke6–13-0.0114%23 May →
dust213–90.0222%22 May →
dust213–16-0.0223%22 May →
inferno6–13-0.0332%22 May →
sanctum8–80.028%22 May →
poseidon3–9-0.0625%22 May →
nuke13–100.0115%22 May →
inferno6–130.0416%22 May →
inferno8–8-0.0716%22 May →
mirage13–50.0415%19 May →
overpass13–0-0.030%19 May →
dust25–130.0526%16 May →
dust210–13-0.0220%5 May →
nuke7–130.0216%5 May →
dust25–13-0.0520%4 May →
dust213–60.0430%3 May →
anubis13–20.0327%3 May →
cache13–50.1418%3 May →
inferno10–13-0.0048%3 May →
vertigo13–40.1027%2 May →
inferno8–40.0315%2 May →
cache12–120.0421%2 May →
dust213–40.1925%2 May →
cache8–13-0.0038%2 May →
poseidon9–50.0723%2 May →
cache13–6-0.0611%29 Apr →
cache12–12-0.0012%29 Apr →
dust213–80.0816%23 Apr →
inferno9–13-0.0512%22 Apr →
inferno13–30.1032%22 Apr →
anubis8–13-0.0912%21 Apr →
inferno13–8-0.0132%21 Apr →
inferno1–7-0.110%21 Apr →
dust29–13-0.0023%20 Apr →
ancient8–130.0124%20 Apr →
mirage13–80.0128%17 Apr →
inferno4–13-0.0714%16 Apr →
dust213–70.0215%16 Apr →
inferno13–50.0720%16 Apr →
dust28–130.0125%13 Apr →
nuke9–130.0010%13 Apr →
mirage13–16-0.0416%12 Apr →
ancient13–70.0517%12 Apr →
anubis13–11-0.0110%11 Apr →
nuke11–130.0317%11 Apr →
mirage15–15-0.0122%9 Apr →
dust213–8-0.0023%9 Apr →
inferno13–00.1032%9 Apr →
dust213–60.0424%6 Apr →
dust29–130.0615%6 Apr →
overpass13–7-0.0120%6 Apr →
dust27–130.0225%6 Apr →
inferno5–13-0.0811%5 Apr →
nuke13–30.0317%5 Apr →
inferno7–13-0.0129%5 Apr →
ancient13–8-0.049%5 Apr →
dust213–80.1120%5 Apr →
anubis13–110.1033%4 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.