[fll.fi] Pupu  Pannukakku päässä

[fll.fi] Pupu Pannukakku päässä — CS2 Stats

RU76561198243917510[U:1:283651782]Steam profile ↗✓ No bans

1,056Tracked matches40%Win rate2020Tracked since
CSDB Rating4.7 DevelopingAll-Rounder
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,056
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Premier CS Rating: 20,771 +600 15 Mar – 28 Apr · 20 days played
18,62021,041peak 21,04115 Mar28 Apr
21,260Peak Premier in tracked matches
41Days played since 2026-03-15

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

Share this profile

CSDB.GG[fll.fi] Pupu Pannukakku…FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning46
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY31–67–2Last 10031%Win rateLWWLLLLWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −1.9pp headshot accuracy · −24ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 659ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 684ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 696ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.8
Utility4.9
Positioning4.6
Opening Duels3.9
Clutch3.2

Limited 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

device

Plays most like device 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 680ms 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

Aim5.8
Positioning4.6
Utility4.9
Mechanics6.0
Opening Duels2.5
Win Impact1.7

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time685ms+5ms
first ⅓ avg 680ms → last ⅓ avg 685ms
Headshot accuracy20.5%−1.9%
first ⅓ avg 22.4% → last ⅓ avg 20.5%

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

0.18Best match rating · 9–2 · inferno, 1 Apr →
54%Best headshot accuracy · 3–13 · train, 22 Mar →
469msFastest reaction time · 2–13 · nuke, 19 Apr →
13–1Biggest win · cache, 28 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 58% over 19ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageD214–1719%-0.04
cacheA1911–858%-0.02
dust2D123–925%-0.03
nukeD123–925%-0.06
ancientD112–918%-0.02
infernoA116–555%0.01
anubisC52–340%-0.03
vertigo—20–20%-0.01
overpass—20–20%-0.01
poseidon—20–20%-0.09
train—20–20%-0.00
sanctum—10–10%-0.14

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,384Matches
51%Win rate
0.80Avg K/D
65.8ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2741%0.7611.6
Cache2576%1.0312.9
Nuke2365%0.8214.0
Ancient1741%0.7910.8
Anubis1662%0.7811.6
Dust2838%0.6611.6
Overpass650%0.8912.7
Inferno450%0.9113.0

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.

21.0%Headshot accuracy
31.8%Accuracy (enemy spotted)
36.6%Spray accuracy
76.8%Counter-strafing
10.0°Preaim
680msReaction time
27.8%T opening success
49.6%CT opening success
0.57Enemies flashed / flash
5.1%Flash assists
7.95HE damage / grenade
4.50Flashes / 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

    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 27.8452% — below the 40% mark we flag

Spend your practice time on Ancient

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0320%4 Sept →
cache13–5-0.0217%4 Sept →
cache13–1-0.0314%28 Aug →
dust27–13-0.0527%28 Aug →
cache7–13-0.0740%28 Aug →
nuke5–10-0.100%5 Aug →
mirage11–13-0.0412%25 Jul →
cache13–10-0.0028%11 Jul →
cache13–50.0617%16 Jun →
cache13–4-0.0328%25 May →
mirage5–13-0.0326%23 May →
nuke9–13-0.0116%23 May →
cache11–130.0133%19 May →
cache13–60.0027%19 May →
ancient8–13-0.0410%19 May →
cache13–6-0.0222%17 May →
cache2–13-0.0933%7 May →
cache5–13-0.0119%7 May →
cache13–11-0.0133%7 May →
vertigo8–8-0.023%7 May →
inferno4–9-0.0246%7 May →
ancient8–13-0.0211%3 May →
cache14–160.0020%2 May →
cache13–40.0620%1 May →
cache13–11-0.0421%30 Apr →
cache7–13-0.0127%29 Apr →
cache5–13-0.0616%29 Apr →
cache13–11-0.0323%29 Apr →
overpass2–130.0013%28 Apr →
sanctum2–9-0.145%27 Apr →
dust211–13-0.0519%26 Apr →
cache6–13-0.0615%23 Apr →
mirage13–10-0.0315%20 Apr →
ancient7–13-0.0218%20 Apr →
nuke2–13-0.1025%19 Apr →
anubis16–14-0.0515%19 Apr →
mirage4–13-0.0719%19 Apr →
dust210–13-0.0330%19 Apr →
nuke5–13-0.0638%18 Apr →
mirage5–13-0.0222%13 Apr →
inferno13–70.0925%13 Apr →
mirage6–13-0.0630%13 Apr →
dust210–13-0.0023%12 Apr →
ancient9–13-0.0217%12 Apr →
inferno13–60.0113%12 Apr →
mirage1–13-0.1038%12 Apr →
nuke11–13-0.0523%10 Apr →
dust22–13-0.1015%10 Apr →
anubis13–100.0719%10 Apr →
ancient13–160.0113%10 Apr →
dust216–14-0.0419%10 Apr →
poseidon2–9-0.197%10 Apr →
mirage1–13-0.1225%9 Apr →
nuke13–8-0.0317%9 Apr →
dust210–13-0.0122%9 Apr →
anubis10–13-0.0618%9 Apr →
inferno13–9-0.0112%9 Apr →
nuke13–6-0.0129%9 Apr →
nuke2–9-0.260%9 Apr →
ancient2–13-0.0321%7 Apr →
mirage13–11-0.0129%7 Apr →
inferno7–130.0015%7 Apr →
poseidon3–9-0.0015%1 Apr →
inferno9–20.188%1 Apr →
nuke7–13-0.0023%30 Mar →
mirage11–13-0.0429%30 Mar →
mirage4–13-0.0518%30 Mar →
anubis4–13-0.0617%29 Mar →
inferno0–13-0.0625%29 Mar →
dust25–13-0.0517%29 Mar →
ancient2–13-0.0713%29 Mar →
inferno13–2-0.058%29 Mar →
mirage2–13-0.0842%29 Mar →
mirage5–13-0.0618%29 Mar →
ancient6–13-0.0718%28 Mar →
inferno1–13-0.0523%28 Mar →
overpass10–13-0.0320%28 Mar →
mirage7–13-0.0221%27 Mar →
mirage4–13-0.0429%26 Mar →
dust27–13-0.0313%26 Mar →
mirage13–60.0012%26 Mar →
mirage3–13-0.0428%23 Mar →
anubis2–13-0.0414%23 Mar →
dust213–40.0328%23 Mar →
train7–13-0.0519%23 Mar →
mirage13–10-0.0022%22 Mar →
train3–130.0554%22 Mar →
vertigo12–12-0.0121%22 Mar →
inferno13–11-0.0323%21 Mar →
nuke13–11-0.0226%21 Mar →
mirage10–13-0.0322%20 Mar →
inferno11–130.0323%17 Mar →
ancient13–20.0423%17 Mar →
nuke5–13-0.0925%16 Mar →
dust213–11-0.0219%16 Mar →
nuke12–160.0123%15 Mar →
mirage11–130.0319%15 Mar →
ancient13–80.0315%15 Mar →
mirage1–13-0.0716%15 Mar →
ancient4–13-0.0643%15 Mar →

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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