pönttöpeura

pönttöpeura — CS2 Stats

FI76561198798204892[U:1:837939164]Steam profile ↗✓ No bans

3,110Tracked matches33%Win rate2020Tracked since
3,232Hours in CS22Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating22,796Top 25% of 204,219 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#44029 of 251281 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (5 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: 22,796 +882 8 Sept – 7 Oct · 17 days played
21,82524,041peak 24,0418 Sept7 Oct
24,041Peak Premier in tracked matches
27Days played since 2026-08-20

Premier CS Rating

  • 1,245 below peak (24,041)
  • +882 over 30 days · improving
  • Next: Red band at 25,000 — 2,204 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches80——
Win rate44%——
K/D1.11——
Headshot %51%——

Measured 17 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,885), 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 7 medianLevel 8 medianvs Level 8
Headshot rate39.5%45.7%46.8%7.4% short
Shot accuracy16.4%12.7%13.0%above
Kill/death ratio1.241.051.06above
Match win rate38.9%45.7%46.3%7.4% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpönttöpeuraFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,796 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim74
Positioning62
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateLLLWWLWLWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −5.9pp headshot accuracy · −45ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 483ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 510ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 532ms

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 (+2.5 against its own average).

Aim7.4
Utility1.1
Positioning6.2
Opening Duels3.8
Clutch3.8

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

donk

Plays most like donk 76% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Strengths

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 74% on T to 45% on CT — first contacts on the defending side are being lost.

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

Aim7.4
Positioning6.2
Utility1.1
Mechanics6.0
Opening Duels6.9
Win Impact0.0

Composite 5.3/10 (Developing), 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 rating0.00−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time537ms−17ms
first ⅓ avg 554ms → last ⅓ avg 537ms
Headshot accuracy19.4%−3.2%
first ⅓ avg 22.7% → last ⅓ avg 19.4%

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

0.22Best match rating · 9–6 · debris, 30 Sept →
50%Best headshot accuracy · 8–8 · inferno, 19 Sept →
313msFastest reaction time · 2–9 · inferno, 24 Sept →
13–2Biggest win · anubis, 1 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
6–1In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 79% over 14mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeC197–1237%-0.01
anubisC156–940%0.00
cacheS1411–379%0.03
infernoD134–931%0.01
mirageD91–811%0.00
ancientA74–357%0.02
officeD61–517%0.04
vertigoB63–350%0.07
poseidonA53–260%0.04
dust2—20–20%-0.03
train—20–20%0.07
debris—11–0100%0.22
boulder—10–10%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,220Lifetime kills
1.24K/D · Top 25% of Level 7 players
8,596Matches
38.9%Match win rate
39.5%Headshot %
16.4%Shot accuracy · Top 25% of Level 7 players
19,774MVPs
1,889Hours (in match)
4,126Bombs planted
1,226Bombs defused

Most-used weapons

AK-4735,985
AWP15,776
SG 5534,358
MP73,557

Lifetime map wins

7,145inferno
6,028nuke
5,372vertigo
4,588lake
3,386office
2,400train
1,983dust2
357cbble

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

Faceit stats

Combat

37Matches
70%Win rate
1.23Avg K/D
90.0ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
33%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis743%1.1317.0
Inferno7100%1.3319.7
Nuke667%1.4418.8
Ancient667%1.0617.7
Train367%1.3417.3
Mirage367%1.4117.3
Dust22100%1.2515.0
Cache1100%1.4320.0

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.

20.2%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.7%Spray accuracy
76.8%Counter-strafing
10.2°Preaim
544msReaction time
73.6%T opening success
45.3%CT opening success
0.19Enemies flashed / flash
0.0%Flash assists
7.96HE damage / grenade
0.63Flashes / 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 0.1913 — below the 0.5 mark we flag

    Grenade Lineups →
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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno0–4-0.060%7 Oct →
nuke1–130.0127%7 Oct →
cache1–13-0.0521%7 Oct →
anubis13–70.0112%6 Oct →
nuke13–90.0315%6 Oct →
inferno5–130.0112%5 Oct →
cache13–60.0817%5 Oct →
mirage5–13-0.0312%5 Oct →
mirage16–14-0.0021%4 Oct →
dust28–13-0.0821%4 Oct →
office8–130.0318%4 Oct →
anubis10–13-0.0314%4 Oct →
office4–130.0043%2 Oct →
nuke12–12-0.0331%2 Oct →
office13–80.0342%1 Oct →
nuke13–160.0220%1 Oct →
anubis12–12-0.010%30 Sept →
office7–13-0.0127%30 Sept →
cache13–40.0115%30 Sept →
anubis9–13-0.057%30 Sept →
cache13–10-0.0122%30 Sept →
nuke8–13-0.0325%30 Sept →
anubis12–120.0114%30 Sept →
office11–13-0.0017%30 Sept →
debris9–60.2218%30 Sept →
poseidon4–90.040%30 Sept →
poseidon9–70.0113%30 Sept →
vertigo6–9-0.0040%30 Sept →
inferno9–60.1134%30 Sept →
nuke5–90.015%30 Sept →
nuke3–13-0.0428%29 Sept →
nuke13–6-0.0220%29 Sept →
ancient3–13-0.0430%29 Sept →
mirage7–130.0426%28 Sept →
cache13–90.1518%28 Sept →
cache5–13-0.0629%28 Sept →
anubis9–13-0.0120%28 Sept →
nuke13–100.0135%28 Sept →
cache16–120.0729%28 Sept →
anubis7–13-0.0211%27 Sept →
nuke13–9-0.0018%27 Sept →
inferno8–13-0.0041%27 Sept →
ancient8–130.0215%27 Sept →
nuke13–70.069%27 Sept →
anubis13–100.0720%27 Sept →
anubis9–130.0611%26 Sept →
nuke13–160.0426%26 Sept →
cache13–110.0435%26 Sept →
cache13–30.1328%25 Sept →
mirage7–13-0.0022%25 Sept →
anubis13–100.0521%25 Sept →
cache13–40.0713%25 Sept →
inferno3–13-0.0417%24 Sept →
dust22–130.0226%24 Sept →
cache5–130.0617%24 Sept →
mirage6–13-0.0233%24 Sept →
poseidon2–9-0.1238%24 Sept →
vertigo4–90.0219%24 Sept →
inferno2–9-0.1420%24 Sept →
vertigo9–50.1336%23 Sept →
nuke9–3-0.0017%23 Sept →
inferno6–90.0335%23 Sept →
poseidon9–40.0935%23 Sept →
cache13–70.0525%22 Sept →
inferno8–8-0.0350%19 Sept →
cache16–14-0.0425%19 Sept →
anubis11–3-0.0413%19 Sept →
anubis5–13-0.0017%15 Sept →
ancient8–130.0322%15 Sept →
ancient13–100.0422%14 Sept →
vertigo9–20.1722%9 Sept →
poseidon9–60.1923%9 Sept →
nuke4–9-0.1235%9 Sept →
inferno9–40.0941%9 Sept →
mirage8–13-0.0610%8 Sept →
cache13–4-0.0827%8 Sept →
ancient13–3-0.0419%8 Sept →
inferno13–90.0318%8 Sept →
nuke2–9-0.0933%8 Sept →
office5–130.1620%5 Sept →
train12–120.0926%5 Sept →
nuke3–90.0318%5 Sept →
mirage9–130.0220%1 Sept →
anubis13–20.026%1 Sept →
inferno10–130.0829%1 Sept →
nuke2–9-0.139%26 Aug →
boulder10–130.0235%26 Aug →
vertigo12–120.0018%26 Aug →
ancient13–100.0516%25 Aug →
mirage9–13-0.0223%25 Aug →
anubis3–9-0.0211%25 Aug →
nuke8–80.0248%24 Aug →
vertigo9–40.1218%24 Aug →
inferno6–9-0.0021%24 Aug →
ancient13–60.0724%21 Aug →
anubis13–110.0219%21 Aug →
train5–130.0530%21 Aug →
mirage12–120.1020%21 Aug →
inferno13–11-0.0022%20 Aug →
nuke13–70.0428%20 Aug →

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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