[fll.fi] Pupu  Pannukakku päässä

[fll.fi] Pupu Pannukakku päässä — CS2 Stats

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

1,053Tracked matches40%Win rate2020Tracked since
CSDB Rating4.7 DevelopingAll-Rounder
CSDB Leaderboard#67201 of 238578 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 15 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,771 +600 15 Mar28 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.

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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

STEADY31672Last 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

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 659ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 684ms

Last 20

  • 8111 · 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-RounderNo style dimension stands clear of the others in this profile.

Aim5.8
Utility4.9
Positioning4.6
Opening Duels3.9
Clutch3.4

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

ZywOo

Plays most like ZywOo 83% 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 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
99In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 58% over 19ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageD2141719%-0.04
cacheA1911858%-0.02
dust2D123925%-0.03
nukeD123925%-0.06
ancientD112918%-0.02
infernoA116555%0.01
anubisC52340%-0.03
vertigo2020%-0.01
overpass2020%-0.01
poseidon2020%-0.09
train2020%-0.00
sanctum1010%-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

1,381Matches
51%Win rate
0.80Avg K/D
66.1ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2638%0.7711.3
Cache2576%1.0312.9
Nuke2268%0.8314.1
Ancient1638%0.7910.9
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 & strategyAncient 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 →