poppi musiikki

poppi musiikki — CS2 Stats

FI76561198964734895[U:1:1004469167]Steam profile ↗✓ No bans

398Tracked matches31%Win rate2021Tracked since
788Hours in CS
CSDB Rating4.2 DevelopingSupport
FaceitLevel 6 · 814 ELOTop 54.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,550 -1,648 2 Apr – 28 Aug · 6 days played
16,55018,582peak 18,5822 Apr28 Aug
18,582Peak Premier in tracked matches
814Highest Faceit ELO seen on CSDB
47Days played since 2026-04-02

Faceit ELO

  • At peak — 814
  • Next: Level 4 at 901 — 87 to go
  • Reached: Level 3 · Level 2

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate36.1%44.8%45.7%9.6% short
Shot accuracy6.6%12.4%12.7%6.2% short
Kill/death ratio0.841.031.050.21 short
Match win rate42.6%45.2%45.7%3.0% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpoppi musiikkiFACEITLevel 6 · 814 ELOSTANDINGTop 54.0% of rankedPEAK ELO814csdb.gg/stats

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Performance scores

Aim72
Positioning36
Utility43

0–100 skill scores via Leetify.

Recent form

COLD40–53–7Last 10040%Win rateTTWWLLWLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.0pp headshot accuracy · −38ms reaction

Win rate 0pp 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 512ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 531ms

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 (+1.3 against its own average).

Aim7.2
Utility4.3
Positioning3.6
Opening Duels0.5
Clutch3.6

Effective flashesLimited 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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

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

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

Aim7.2
Positioning3.6
Utility4.3
Mechanics7.3
Opening Duels0.2
Win Impact0.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time556ms−89ms
first ⅓ avg 645ms → last ⅓ avg 556ms
Headshot accuracy14.2%+1.5%
first ⅓ avg 12.7% → last ⅓ avg 14.2%

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

0.23Best match rating · 13–3 · dust2, 28 Apr →
28%Best headshot accuracy · 13–3 · anubis, 31 Aug →
422msFastest reaction time · 13–3 · anubis, 31 Aug →
13–3Biggest win · cache, 9 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–11In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 56% over 9dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB2311–1248%0.03
mirageB2211–1150%0.01
dust2D153–1220%-0.00
anubisA116–555%0.00
cacheA95–456%-0.01
ancientC73–443%-0.00
infernoD51–420%-0.01
vertigo—30–30%0.02
office—20–20%0.01
overpass—10–10%0.03
train—10–10%0.11
alpine—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,843Lifetime kills
0.84K/D
1,616Matches
42.6%Match win rate
36.1%Headshot %
6.6%Shot accuracy
4,068MVPs
788Hours (in match)
1,963Bombs planted
789Bombs defused

Most-used weapons

Lifetime map wins

2,504nuke
1,234vertigo
1,090dust2
853inferno
427train
220lake
57cbble
54office

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

Faceit stats

Combat

113Matches
57%Win rate
1.26Avg K/D
83.8ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4661%1.3817.2
Nuke1878%1.2616.9
Anubis1560%1.4116.5
Dust21155%1.1914.4
Ancient650%1.1014.0
Cache560%1.2313.2
Vertigo30%0.9116.0
Overpass250%0.9714.5

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
36.1%Accuracy (enemy spotted)
32.6%Spray accuracy
82.8%Counter-strafing
9.2°Preaim
547msReaction time
30.0%T opening success
31.6%CT opening success
0.71Enemies flashed / flash
6.4%Flash assists
7.57HE damage / grenade
3.34Flashes / 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 14.5327% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3379 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 30% — 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.

20% win rate across 15 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
nuke12–12-0.0612%2 Nov →
nuke12–120.0817%25 Oct →
mirage13–110.0813%25 Oct →
nuke13–110.0122%19 Oct →
nuke9–13-0.0611%18 Oct →
vertigo8–13-0.0219%8 Oct →
anubis13–11-0.0114%8 Oct →
overpass11–130.0312%7 Oct →
train7–130.1115%7 Oct →
dust22–13-0.0616%7 Oct →
dust25–13-0.0514%7 Oct →
inferno13–80.0111%7 Oct →
mirage2–13-0.0910%6 Oct →
cache4–13-0.122%1 Oct →
cache13–3-0.0322%9 Sept →
mirage8–130.0825%5 Sept →
nuke16–190.0815%4 Sept →
vertigo11–130.0525%2 Sept →
dust211–13-0.0517%1 Sept →
mirage13–110.0617%31 Aug →
anubis13–30.0628%31 Aug →
dust23–13-0.0218%28 Aug →
nuke5–130.039%25 Aug →
mirage13–11-0.0410%17 Aug →
mirage11–130.0113%17 Aug →
nuke9–0-0.050%17 Aug →
inferno4–9-0.0517%17 Aug →
mirage4–13-0.1018%11 Aug →
dust211–13-0.0111%11 Aug →
ancient15–15-0.066%11 Aug →
mirage11–13-0.0110%10 Aug →
ancient15–15-0.0812%10 Aug →
anubis4–13-0.078%10 Aug →
ancient13–60.009%10 Aug →
nuke7–130.0710%7 Aug →
anubis13–60.116%7 Aug →
inferno11–130.0110%7 Aug →
cache13–90.044%7 Aug →
nuke4–13-0.0418%5 Aug →
nuke13–50.0512%2 Aug →
dust20–13-0.0422%2 Aug →
office4–130.0122%1 Aug →
cache13–40.049%1 Aug →
inferno12–12-0.0212%30 Jul →
vertigo11–130.0312%30 Jul →
dust23–13-0.019%30 Jul →
nuke13–60.0124%30 Jul →
cache13–30.0514%30 Jul →
mirage8–130.0617%22 Jul →
dust26–130.0118%22 Jul →
cache13–80.0110%22 Jul →
cache11–13-0.0810%21 Jul →
anubis8–13-0.0218%21 Jul →
mirage13–90.0316%21 Jul →
mirage11–13-0.0615%21 Jul →
nuke4–13-0.104%20 Jul →
dust211–13-0.0513%20 Jul →
dust213–8-0.0315%20 Jul →
mirage13–70.0318%20 Jul →
ancient15–150.0018%20 Jul →
mirage13–11-0.0813%20 Jul →
dust28–13-0.0523%19 Jul →
anubis7–13-0.075%19 Jul →
anubis4–130.0116%18 Jul →
ancient4–130.0015%18 Jul →
mirage13–100.0611%18 Jul →
cache9–130.028%18 Jul →
anubis13–70.0718%18 Jul →
nuke13–6-0.0414%18 Jul →
nuke13–80.0719%16 Jul →
mirage10–130.0317%12 Jul →
mirage13–30.1527%19 May →
nuke13–80.0410%17 May →
mirage9–130.016%14 May →
nuke7–130.019%12 May →
dust213–90.048%11 May →
mirage13–8-0.029%11 May →
dust28–130.0614%7 May →
alpine6–13-0.0219%7 May →
nuke7–130.0114%6 May →
nuke4–13-0.0212%6 May →
anubis13–10-0.057%2 May →
cache12–12-0.0213%30 Apr →
nuke13–30.129%30 Apr →
dust213–30.2320%28 Apr →
office2–130.0015%28 Apr →
mirage13–9-0.040%28 Apr →
mirage10–13-0.058%27 Apr →
nuke2–130.005%27 Apr →
anubis10–13-0.0622%26 Apr →
ancient13–70.0720%22 Apr →
dust25–13-0.036%22 Apr →
mirage4–13-0.019%19 Apr →
inferno8–13-0.024%19 Apr →
ancient13–50.0214%3 Apr →
mirage13–80.079%2 Apr →
nuke7–20.1721%2 Apr →
anubis13–40.0710%2 Apr →
nuke13–40.0317%2 Apr →
nuke13–100.1816%2 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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