PineApple

PineApple — CS2 Stats

SG76561199472021441[U:1:1511755713]Steam profile ↗✓ No bans

208Tracked matches76%Win rate2025Tracked since
240Hours in CS14Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating14,240Blue band · top ~32.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (8 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: 14,240 +587 27 Aug – 7 Oct · 23 days played
11,60414,240peak 14,24027 Aug7 Oct
14,824Peak Premier in tracked matches
30Days played since 2026-08-27

Premier CS Rating

  • At peak — 14,240
  • +2,209 over 30 days · improving
  • Next: Purple band at 15,000 — 760 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-15
  • Light Blue band first seen 2026-09-15

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
Matches76——
Win rate43%——
K/D1.22——
Headshot %32%——

Measured 15 Sep 2026 → 15 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.2%42.0%44.3%7.2% short
Shot accuracy0.2%9.6%11.9%11.7% short
Kill/death ratio0.920.981.030.11 short
Match win rate37.6%43.8%45.2%7.6% short

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

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

Share this profile

CSDB.GGPineApplePREMIER14,240 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning75
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateLWTTLWWWTW

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −0.4pp headshot accuracy · +36ms reaction

Win rate down 40pp 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

  • 1–2–2 · 20% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 12%
  • Avg reaction 647ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 626ms

Last 20

  • 14–3–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 608ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim5.1
Utility5.5
Positioning7.5
Opening Duels6.8

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

jL

Plays most like jL 62% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 71% on CT to 54% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning7.5
Utility5.5
Mechanics3.3
Opening Duels8.0
Win Impact10.0

Composite 5.8/10 (Solid), 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 rating0.05+0.04
first ⅓ avg 0.01 → last ⅓ avg 0.05
Reaction time616ms+13ms
first ⅓ avg 603ms → last ⅓ avg 616ms
Headshot accuracy11.5%−1.8%
first ⅓ avg 13.2% → last ⅓ avg 11.5%

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

0.25Best match rating · 13–6 · dust2, 26 Sept →
32%Best headshot accuracy · 0–6 · inferno, 3 Sept →
391msFastest reaction time · 6–13 · vertigo, 24 Sept →
13–0Biggest win · dust2, 29 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

dust2Best map · 52% over 44infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B4423–2152%0.04
mirageB209–1145%0.03
infernoC176–1135%-0.01
cache—42–250%0.00
nuke—42–250%0.01
ancient—42–250%0.07
vertigo—41–325%0.05
anubis—32–167%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,847Lifetime kills
0.92K/D
425Matches
37.6%Match win rate
37.2%Headshot %
0.2%Shot accuracy
796MVPs
145Hours (in match)
342Bombs planted
82Bombs defused

Most-used weapons

Lifetime map wins

1,160dust2
452inferno
125nuke
61vertigo
43train
2ar_shoots
1ar_baggage

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.

11.4%Headshot accuracy
38.8%Accuracy (enemy spotted)
39.9%Spray accuracy
64.9%Counter-strafing
11.2°Preaim
618msReaction time
53.7%T opening success
71.0%CT opening success
0.42Enemies flashed / flash
6.2%Flash assists
9.65HE damage / grenade
8.89Flashes / 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 11.4064% — 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 0.4194 — below the 0.5 mark we flag

    Grenade Lineups →
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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.0516%11 Oct →
mirage13–80.109%11 Oct →
mirage12–120.1017%11 Oct →
dust212–120.078%8 Oct →
mirage11–130.0510%8 Oct →
dust216–120.0716%7 Oct →
mirage13–110.046%7 Oct →
dust216–13-0.078%6 Oct →
cache15–15-0.019%6 Oct →
dust213–90.0011%5 Oct →
inferno13–100.018%5 Oct →
anubis13–90.049%5 Oct →
nuke13–10-0.0020%5 Oct →
dust27–130.0014%5 Oct →
dust213–70.0210%2 Oct →
dust213–20.0614%2 Oct →
mirage13–50.027%1 Oct →
cache13–30.1010%1 Oct →
dust213–80.0712%1 Oct →
mirage13–20.1310%1 Oct →
ancient13–100.0114%30 Sept →
inferno16–14-0.0211%30 Sept →
dust213–11-0.036%30 Sept →
dust213–20.158%29 Sept →
vertigo11–130.0715%28 Sept →
mirage13–110.218%27 Sept →
mirage12–120.0811%27 Sept →
dust28–13-0.0311%26 Sept →
mirage5–13-0.0822%26 Sept →
inferno12–120.0311%26 Sept →
dust213–60.2515%26 Sept →
inferno13–60.0911%26 Sept →
anubis3–130.039%26 Sept →
nuke8–130.0112%25 Sept →
anubis13–70.077%25 Sept →
inferno7–13-0.0218%25 Sept →
dust213–20.185%25 Sept →
vertigo6–130.014%25 Sept →
dust210–130.157%25 Sept →
dust21–130.0512%25 Sept →
dust213–100.1110%25 Sept →
mirage8–130.0610%25 Sept →
dust26–130.099%24 Sept →
dust29–130.1016%24 Sept →
vertigo6–13-0.043%24 Sept →
vertigo13–50.176%24 Sept →
dust211–130.0311%24 Sept →
dust29–130.046%24 Sept →
dust213–110.0919%23 Sept →
dust213–60.185%23 Sept →
inferno9–130.0214%23 Sept →
mirage13–60.026%22 Sept →
dust213–90.0413%22 Sept →
inferno7–130.015%22 Sept →
inferno13–5-0.047%19 Sept →
inferno13–11-0.0416%19 Sept →
dust29–130.0210%19 Sept →
dust24–13-0.0616%19 Sept →
inferno8–8-0.1716%19 Sept →
dust26–13-0.1110%19 Sept →
dust26–13-0.1113%19 Sept →
mirage3–13-0.098%19 Sept →
inferno13–20.089%17 Sept →
mirage15–15-0.036%12 Sept →
dust211–130.078%12 Sept →
dust213–90.0511%11 Sept →
dust29–13-0.017%10 Sept →
ancient13–10.2314%10 Sept →
dust215–150.0723%10 Sept →
ancient9–130.036%6 Sept →
dust213–70.038%6 Sept →
ancient11–130.0210%5 Sept →
mirage11–130.0113%5 Sept →
nuke16–140.0613%5 Sept →
dust213–20.0522%5 Sept →
dust26–13-0.039%4 Sept →
inferno10–13-0.0218%4 Sept →
dust21–13-0.054%4 Sept →
inferno0–6-0.0132%3 Sept →
cache13–8-0.0114%3 Sept →
inferno11–13-0.008%3 Sept →
cache3–13-0.0815%2 Sept →
dust29–130.0424%2 Sept →
dust213–40.0719%2 Sept →
dust213–10-0.057%31 Aug →
inferno5–13-0.0510%31 Aug →
inferno13–16-0.0613%29 Aug →
mirage1–13-0.063%29 Aug →
nuke12–16-0.0210%29 Aug →
inferno1–13-0.044%29 Aug →
dust213–100.0216%29 Aug →
dust213–90.0511%29 Aug →
dust213–00.1228%29 Aug →
mirage7–13-0.0315%29 Aug →
dust211–13-0.018%28 Aug →
mirage13–100.0615%28 Aug →
dust25–13-0.0216%28 Aug →
dust213–11-0.0412%27 Aug →
mirage13–4-0.060%27 Aug →
mirage13–10-0.0418%27 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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