Pöllö

Pöllö — CS2 Stats

SO76561198000461275[U:1:40195547]Steam profile ↗✓ No bans

441Tracked matches34%Win rate2020Tracked since
CSDB Rating3.8 LearningPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,663 +659 10 Oct – 16 Jan · 20 days played
10,42612,668peak 12,66810 Oct16 Jan
13,017Peak Premier in tracked matches
41Days played since 2025-10-10

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

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CSDB.GGPöllöFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim45
Positioning47
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY39–54–7Last 10039%Win rateWLLLLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.2pp headshot accuracy · +42ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 720ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 674ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 653ms

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 (+1.1 against its own average).

Aim4.5
Utility4.4
Positioning4.7
Opening Duels1.6

Strong CT-side openerLimited 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 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.5
Positioning4.7
Utility4.4
Mechanics4.4
Opening Duels1.8
Win Impact0.0

Composite 3.8/10 (Learning), 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+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time663ms−36ms
first ⅓ avg 698ms → last ⅓ avg 663ms
Headshot accuracy15.8%−2.8%
first ⅓ avg 18.6% → last ⅓ avg 15.8%

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

0.16Best match rating · 13–9 · dust2, 6 Aug →
31%Best headshot accuracy · 10–13 · ancient, 17 Oct →
453msFastest reaction time · 8–13 · ancient, 12 Jan →
13–2Biggest win · overpass, 23 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 52% over 23mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%-0.03
ancientD205–1525%-0.04
nukeC177–1041%-0.03
infernoD124–833%-0.02
overpassC104–640%-0.05
mirageD71–614%-0.04
anubis—41–325%-0.07
cache—32–167%0.04
train—32–167%-0.06
office—11–0100%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

53Matches
51%Win rate
0.90Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

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.

15.6%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.4%Spray accuracy
69.8%Counter-strafing
9.4°Preaim
664msReaction time
28.0%T opening success
44.6%CT opening success
0.46Enemies flashed / flash
5.7%Flash assists
7.29HE damage / grenade
3.56Flashes / 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. 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 0.4615 — below the 0.5 mark we flag

    Grenade Lineups →
  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 28.0413% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–12-0.0111%8 Oct →
dust22–13-0.0817%8 Oct →
ancient8–13-0.0314%5 Oct →
anubis9–13-0.0823%5 Oct →
ancient7–13-0.078%5 Oct →
inferno13–50.0423%26 Sept →
mirage1–7-0.0322%26 Sept →
dust213–80.0116%26 Sept →
mirage9–13-0.1312%26 Sept →
cache13–70.0920%9 Sept →
nuke13–70.0018%8 Sept →
ancient13–7-0.0210%8 Sept →
ancient7–13-0.0911%8 Sept →
dust29–13-0.019%23 Aug →
nuke14–16-0.0612%13 Aug →
cache13–5-0.0114%10 Aug →
inferno5–13-0.0117%10 Aug →
anubis4–13-0.0619%6 Aug →
dust213–90.1622%6 Aug →
mirage7–13-0.1012%3 Jul →
cache11–130.0420%3 Jul →
nuke7–13-0.0713%30 Jun →
ancient6–13-0.0815%21 Jun →
nuke10–130.0223%21 Jun →
overpass4–13-0.0916%12 Jun →
dust213–5-0.0315%27 Feb →
dust215–15-0.0718%23 Feb →
overpass13–2-0.0521%23 Feb →
dust26–13-0.0323%20 Feb →
dust211–13-0.067%20 Feb →
anubis16–13-0.0617%17 Feb →
nuke11–13-0.039%13 Feb →
inferno15–15-0.0216%13 Feb →
nuke9–13-0.0919%26 Jan →
overpass8–13-0.0517%26 Jan →
dust215–15-0.0418%26 Jan →
ancient11–13-0.0511%26 Jan →
nuke6–13-0.0018%23 Jan →
anubis3–13-0.0923%23 Jan →
nuke11–13-0.048%16 Jan →
inferno13–5-0.0016%16 Jan →
dust212–12-0.0412%16 Jan →
dust213–8-0.0215%14 Jan →
inferno13–8-0.0023%14 Jan →
dust24–13-0.0024%12 Jan →
ancient13–90.0018%12 Jan →
overpass13–110.0025%12 Jan →
ancient8–13-0.0318%12 Jan →
nuke9–13-0.0920%9 Jan →
overpass13–10-0.0111%9 Jan →
dust215–15-0.0413%9 Jan →
nuke13–10-0.0220%8 Jan →
overpass11–13-0.1017%8 Jan →
inferno6–13-0.0627%2 Jan →
dust213–10-0.0229%2 Jan →
ancient8–13-0.0712%2 Jan →
train13–10-0.0230%2 Jan →
inferno13–5-0.0721%29 Dec →
ancient13–2-0.0111%29 Dec →
train7–13-0.1027%25 Dec →
inferno15–15-0.0114%25 Dec →
ancient16–14-0.038%25 Dec →
dust216–14-0.0217%25 Dec →
nuke5–13-0.0624%5 Dec →
dust213–10-0.0727%5 Dec →
ancient15–15-0.0314%5 Dec →
mirage13–50.0419%5 Dec →
nuke13–50.0216%3 Dec →
ancient11–13-0.0018%3 Dec →
nuke9–70.0318%3 Dec →
mirage4–13-0.0728%28 Nov →
ancient12–16-0.0422%28 Nov →
nuke13–9-0.0429%28 Nov →
overpass13–7-0.0121%28 Nov →
inferno11–13-0.0720%5 Nov →
mirage11–13-0.0530%31 Oct →
dust213–9-0.0619%31 Oct →
overpass9–13-0.0923%31 Oct →
dust214–16-0.0321%31 Oct →
dust213–10-0.0530%27 Oct →
ancient2–13-0.0417%27 Oct →
ancient1–13-0.0811%25 Oct →
dust213–16-0.0623%25 Oct →
overpass4–13-0.055%25 Oct →
inferno5–13-0.0219%25 Oct →
nuke13–3-0.0515%23 Oct →
mirage8–130.0211%23 Oct →
inferno10–130.0219%23 Oct →
dust213–10-0.0711%22 Oct →
train16–12-0.0512%22 Oct →
dust213–11-0.0128%20 Oct →
nuke13–11-0.057%20 Oct →
ancient10–13-0.0731%17 Oct →
overpass5–13-0.0515%17 Oct →
nuke6–13-0.0521%17 Oct →
ancient13–8-0.0518%13 Oct →
ancient10–13-0.0314%13 Oct →
inferno6–13-0.0519%13 Oct →
office13–6-0.0920%13 Oct →
ancient6–13-0.062%10 Oct →

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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