PoppisKone

PoppisKone — CS2 Stats

CF76561198047152783[U:1:86887055]Steam profile ↗✓ No bans

1,453Tracked matches46%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating21,750Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#59487 of 259897 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,453 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,750 +2,588 24 Apr – 23 Sept · 31 days played
19,16222,814peak 22,81424 Apr23 Sept
23,201Peak Premier in tracked matches
37Days played since 2026-04-24

Premier CS Rating

  • 1,064 below peak (22,814)
  • +381 over 30 days · steady
  • -76 over 90 days
  • Next: Red band at 25,000 — 3,250 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

Share this profile

CSDB.GGPoppisKoneFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER21,750 · Pink bandcsdb.gg/stats

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Performance scores

Aim54
Positioning42
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLLTWWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.4pp headshot accuracy · −15ms reaction

Win rate up 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 -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 566ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 573ms

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 (+2.9 against its own average).

Aim5.4
Utility6.2
Positioning4.2
Opening Duels2.7
Clutch0.0

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 78% 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

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim5.4
Positioning4.2
Utility6.2
Mechanics5.6
Opening Duels2.2
Win Impact3.8

Composite 4.9/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time602ms+2ms
first ⅓ avg 601ms → last ⅓ avg 602ms
Headshot accuracy15.0%+1.2%
first ⅓ avg 13.8% → last ⅓ avg 15.0%

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

0.14Best match rating · 13–4 · ancient, 8 Sept →
37%Best headshot accuracy · 13–2 · dust2, 30 Jun →
406msFastest reaction time · 8–13 · dust2, 12 Aug →
13–0Biggest win · overpass, 23 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
14–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 73% over 15dust2Weakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
dust2D248–1633%-0.03
ancientB1910–953%-0.03
anubisA1610–663%-0.01
nukeS1511–473%-0.02
cacheB105–550%-0.04
infernoB63–350%-0.04
mirageB63–350%-0.02
overpass—21–150%-0.02
vertigo—21–150%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

216Matches
51%Win rate
0.98Avg K/D
82.2ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
11%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient667%0.8514.8
Anubis560%0.6610.6
Dust2475%1.3515.8
Vertigo367%0.7515.0
Nuke333%0.7512.0
Inferno30%0.6811.0
Mirage2100%0.8818.0

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.

14.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
34.3%Spray accuracy
75.0%Counter-strafing
10.1°Preaim
597msReaction time
26.6%T opening success
47.6%CT opening success
0.68Enemies flashed / flash
9.4%Flash assists
9.42HE damage / grenade
9.27Flashes / 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 14.5447% — below the 15% mark we flag

    Aim Training →
  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 26.6384% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0313%9 Sept →
nuke2–13-0.1114%9 Sept →
inferno15–15-0.058%8 Sept →
dust213–11-0.0216%8 Sept →
ancient13–40.1421%8 Sept →
mirage13–100.0321%7 Sept →
ancient11–13-0.0919%7 Sept →
nuke13–4-0.056%7 Sept →
inferno16–14-0.0113%26 Aug →
anubis13–11-0.0313%26 Aug →
nuke13–10-0.0719%25 Aug →
ancient4–13-0.049%25 Aug →
cache1–10-0.0622%17 Aug →
dust210–13-0.0411%17 Aug →
cache7–13-0.057%14 Aug →
dust25–13-0.0817%14 Aug →
mirage13–9-0.0116%14 Aug →
ancient10–4-0.0421%14 Aug →
anubis13–40.0320%12 Aug →
dust28–13-0.065%12 Aug →
dust210–13-0.078%10 Aug →
ancient7–13-0.0323%10 Aug →
nuke13–50.0111%10 Aug →
anubis15–150.0111%3 Aug →
mirage10–13-0.0320%3 Aug →
cache13–80.0019%3 Aug →
nuke3–13-0.0514%1 Aug →
dust29–13-0.1115%1 Aug →
inferno8–13-0.0519%1 Aug →
cache13–6-0.0121%1 Aug →
nuke13–60.0324%28 Jul →
anubis13–11-0.0713%28 Jul →
cache13–9-0.0113%28 Jul →
mirage7–13-0.0622%28 Jul →
ancient16–14-0.0013%27 Jul →
dust28–13-0.028%26 Jul →
cache5–13-0.0512%26 Jul →
anubis13–110.0010%26 Jul →
inferno13–9-0.0221%24 Jul →
nuke13–4-0.0318%24 Jul →
cache13–9-0.0612%24 Jul →
nuke4–8-0.039%24 Jul →
ancient13–4-0.0323%24 Jul →
dust27–13-0.0813%24 Jul →
inferno13–1-0.080%24 Jul →
dust29–13-0.0211%18 Jul →
dust20–3-0.060%18 Jul →
dust27–13-0.0512%13 Jul →
ancient6–13-0.0925%13 Jul →
nuke13–9-0.0113%13 Jul →
cache13–11-0.029%9 Jul →
anubis13–10-0.018%9 Jul →
ancient7–13-0.0711%9 Jul →
overpass8–13-0.0427%5 Jul →
dust24–13-0.049%5 Jul →
nuke13–80.0114%3 Jul →
ancient11–130.0215%3 Jul →
dust213–5-0.0014%3 Jul →
anubis13–8-0.0215%1 Jul →
dust211–13-0.0324%1 Jul →
ancient13–110.0318%1 Jul →
dust213–20.0737%30 Jun →
overpass13–0-0.0112%23 Jun →
inferno3–13-0.0432%23 Jun →
dust27–13-0.0712%23 Jun →
nuke13–11-0.0414%23 Jun →
mirage4–13-0.0314%16 Jun →
ancient16–14-0.048%16 Jun →
dust23–13-0.0116%9 Jun →
ancient11–13-0.055%9 Jun →
anubis13–11-0.0017%9 Jun →
vertigo11–130.064%8 Jun →
vertigo13–9-0.0013%8 Jun →
anubis9–13-0.0216%1 Jun →
anubis13–110.0011%25 May →
ancient6–13-0.0516%25 May →
nuke13–9-0.0815%25 May →
dust211–13-0.0216%25 May →
anubis3–13-0.0416%22 May →
dust213–5-0.0221%22 May →
anubis13–16-0.0110%18 May →
dust213–11-0.019%18 May →
dust213–10-0.0515%13 May →
anubis15–15-0.079%13 May →
ancient13–2-0.0419%13 May →
dust213–50.0820%13 May →
nuke16–120.0227%11 May →
ancient13–10-0.024%11 May →
ancient13–9-0.0014%7 May →
anubis13–110.0112%6 May →
dust210–13-0.0914%6 May →
dust213–9-0.0015%4 May →
ancient10–13-0.0818%4 May →
cache10–13-0.0716%4 May →
anubis13–100.0212%26 Apr →
nuke13–90.0118%26 Apr →
mirage13–7-0.0212%26 Apr →
ancient13–60.0016%24 Apr →
anubis8–13-0.0111%24 Apr →
nuke11–130.0410%24 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 →

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