Pöllö_//

Pöllö_// — CS2 Stats

FI76561197974048186[U:1:13782458]Steam profile ↗✓ No bans

3,157Tracked matches52%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating23,674Top 25% of 213,399 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#35998 of 259985 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,674 -1,754 28 Jul – 28 Oct · 21 days played
23,67426,211peak 26,21128 Jul28 Oct
Faceit ELO: 2,282 +0 1 Sept – 23 Sept · 7 observations
2,2822,282peak 2,2821 Sept23 Sept
26,211Peak Premier in tracked matches
2,282Highest Faceit ELO seen on CSDB
32Days played since 2026-07-28

Faceit ELO

  • At peak — 2,282
  • Next: 2,500 ELO at 2,500 — 218 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 2,537 below peak (26,211)
  • -1,382 over 30 days · declining
  • -2,537 over 90 days
  • Next: Red band at 25,000 — 1,326 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGPöllö_//PREMIER23,674 · Pink bandPEAK ELO2,282csdb.gg/stats

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Performance scores

Aim67
Positioning52
Utility64

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateTLLWWLLWLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −4.1pp headshot accuracy · +34ms reaction

Win rate down 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 550ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 558ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

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 (+2.5 against its own average).

Aim6.7
Utility6.4
Positioning5.2
Opening Duels0.6
Clutch3.4

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

iM

Plays most like iM 74% 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

CT openings. Opening success drops from 54% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 553ms 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

Aim6.7
Positioning5.2
Utility6.4
Mechanics5.6
Opening Duels3.5
Win Impact5.6

Composite 5.9/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time550ms−5ms
first ⅓ avg 555ms → last ⅓ avg 550ms
Headshot accuracy14.9%−0.5%
first ⅓ avg 15.4% → last ⅓ avg 14.9%

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 · mirage, 11 Aug →
33%Best headshot accuracy · 9–13 · mirage, 18 Aug →
344msFastest reaction time · 8–1 · inferno, 22 Oct →
13–3Biggest win · inferno, 18 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–13In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 83% over 6dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%0.02
nukeB209–1145%0.00
ancientB178–947%-0.01
anubisB137–654%0.01
dust2D122–1017%-0.00
mirageB84–450%0.00
cacheS65–183%0.01
vertigo—11–0100%-0.09
train—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,137Matches
50%Win rate
1.03Avg K/D
72.8ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient12354%1.0014.5
Inferno10140%1.0615.2
Nuke10153%1.0914.2
Anubis9949%1.0414.2
Dust23837%0.9013.8
Vertigo2952%1.0515.3
Train2352%1.1415.5
Mirage2357%0.9814.6

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.

15.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
42.3%Spray accuracy
75.3%Counter-strafing
10.7°Preaim
553msReaction time
54.5%T opening success
33.4%CT opening success
0.51Enemies flashed / flash
9.8%Flash assists
5.50HE damage / grenade
16.37Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.3592% — 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.

17% win rate across 12 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
inferno15–150.0117%28 Oct →
dust25–130.026%28 Oct →
anubis8–13-0.0214%28 Oct →
ancient13–80.0719%24 Oct →
inferno13–60.0212%24 Oct →
nuke10–13-0.0113%24 Oct →
dust27–13-0.0613%23 Oct →
ancient13–100.0016%23 Oct →
dust210–13-0.0117%22 Oct →
anubis11–13-0.0418%22 Oct →
inferno8–1-0.0029%22 Oct →
inferno13–40.0420%14 Oct →
dust211–13-0.0028%14 Oct →
mirage13–7-0.0316%14 Oct →
mirage1–13-0.045%30 Sept →
dust217–19-0.0111%29 Sept →
dust213–10-0.0224%29 Sept →
dust213–110.0318%28 Sept →
inferno13–16-0.0417%28 Sept →
ancient6–13-0.1117%27 Sept →
anubis11–13-0.0211%27 Sept →
inferno13–100.0613%27 Sept →
inferno6–13-0.094%27 Sept →
cache13–11-0.0014%27 Sept →
dust24–30.1120%26 Sept →
nuke13–60.0720%26 Sept →
anubis13–10-0.048%21 Sept →
cache13–60.0410%21 Sept →
inferno13–90.0916%21 Sept →
ancient13–9-0.0110%20 Sept →
inferno13–30.025%18 Sept →
dust25–130.0116%18 Sept →
inferno10–130.0115%18 Sept →
cache10–13-0.0222%15 Sept →
anubis13–5-0.038%15 Sept →
nuke5–13-0.0724%15 Sept →
nuke5–130.015%15 Sept →
inferno13–80.0322%14 Sept →
ancient13–16-0.0914%14 Sept →
dust211–13-0.0224%9 Sept →
ancient13–8-0.0313%9 Sept →
ancient9–13-0.0015%9 Sept →
inferno13–90.0422%8 Sept →
ancient5–13-0.0613%8 Sept →
nuke14–16-0.0122%8 Sept →
ancient6–13-0.0114%30 Aug →
anubis13–80.0616%29 Aug →
nuke16–120.0813%29 Aug →
mirage9–13-0.0133%18 Aug →
ancient14–160.0221%18 Aug →
cache13–60.0225%18 Aug →
vertigo13–3-0.0915%18 Aug →
anubis9–13-0.0717%17 Aug →
cache16–130.0219%16 Aug →
inferno13–10-0.0021%16 Aug →
nuke13–60.0624%16 Aug →
inferno7–13-0.0013%16 Aug →
inferno8–130.0417%15 Aug →
nuke11–130.0012%15 Aug →
nuke12–120.0715%14 Aug →
anubis9–130.1016%14 Aug →
mirage13–11-0.0017%14 Aug →
dust28–13-0.0620%14 Aug →
train1–13-0.085%14 Aug →
ancient13–11-0.0218%13 Aug →
nuke13–4-0.0215%13 Aug →
nuke13–9-0.0111%13 Aug →
anubis13–90.0311%11 Aug →
ancient11–130.0115%11 Aug →
inferno12–160.0115%11 Aug →
anubis13–90.1014%11 Aug →
mirage13–40.1414%11 Aug →
inferno10–130.0524%11 Aug →
nuke8–13-0.0113%11 Aug →
inferno13–90.0617%11 Aug →
anubis11–13-0.019%11 Aug →
nuke11–13-0.0220%10 Aug →
dust210–130.0314%10 Aug →
nuke13–100.0219%10 Aug →
ancient8–130.1018%10 Aug →
cache19–17-0.029%10 Aug →
ancient13–6-0.0521%10 Aug →
nuke8–13-0.0412%10 Aug →
inferno6–130.0011%9 Aug →
mirage14–16-0.0223%9 Aug →
nuke6–130.0217%9 Aug →
ancient19–160.0311%8 Aug →
inferno13–80.0411%8 Aug →
inferno13–9-0.0117%8 Aug →
ancient13–90.0117%7 Aug →
nuke2–13-0.0410%7 Aug →
anubis13–90.1021%7 Aug →
nuke13–8-0.0221%7 Aug →
inferno8–13-0.0412%7 Aug →
ancient10–13-0.016%7 Aug →
mirage13–7-0.0026%7 Aug →
mirage15–15-0.0215%31 Jul →
anubis13–100.0014%31 Jul →
nuke13–11-0.0214%31 Jul →
nuke13–90.0317%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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