urpokekkonen

urpokekkonen — CS2 Stats

76561198359392680[U:1:399126952]Steam profile ↗✓ No bans

356Tracked matches43%Win rate2024Tracked since
523Hours in CS2Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (18 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: 10,000 -1,712 20 Aug – 24 Sept · 9 days played
9,74611,712peak 11,71220 Aug24 Sept
12,438Peak Premier in tracked matches
23Days played since 2026-08-19

Premier CS Rating

  • 1,712 below peak (11,712)
  • -1,197 over 30 days · declining
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-07

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
Matches64——
Win rate39%——
K/D0.91——
Headshot %36%——

Measured 7 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.5%42.0%44.3%8.9% short
Shot accuracy4.7%9.6%11.9%7.2% short
Kill/death ratio1.020.981.03meets
Match win rate36.1%43.8%45.2%9.1% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGurpokekkonenPREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning58
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY34–62–4Last 10034%Win rateLWLLLWLLWW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −7.2pp headshot accuracy · +5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 626ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 628ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 626ms

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 (+2.1 against its own average).

Aim4.6
Utility3.9
Positioning5.8
Opening Duels2.9
Clutch2.2

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

jL

Plays most like jL 76% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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

Aim4.6
Positioning5.8
Utility3.9
Mechanics0.8
Opening Duels3.9
Win Impact2.8

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time611ms+34ms
first ⅓ avg 577ms → last ⅓ avg 611ms
Headshot accuracy10.9%+0.5%
first ⅓ avg 10.4% → last ⅓ avg 10.9%

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

0.17Best match rating · 13–1 · cache, 22 Sept →
57%Best headshot accuracy · 1–7 · anubis, 17 Sept →
367msFastest reaction time · 2–13 · inferno, 21 Aug →
13–1Biggest win · cache, 22 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 50% over 8dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
anubisD186–1233%0.01
infernoD144–1029%-0.03
nukeC135–838%-0.03
cacheB115–645%0.01
vertigoD92–722%-0.01
mirageB84–450%-0.02
dust2D71–614%-0.06
ancientD72–529%-0.05
officeD62–433%-0.01
train—41–325%-0.04
overpass—32–167%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,022Lifetime kills
1.02K/D · Top 50% of Blue band
917Matches
36.1%Match win rate
35.5%Headshot %
4.7%Shot accuracy
1,732MVPs
242Hours (in match)
638Bombs planted
128Bombs defused

Most-used weapons

Lifetime map wins

1,717nuke
954inferno
852vertigo
487dust2
107office
70train
53lake
22cbble

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

Faceit stats

Combat

21Matches
38%Win rate
0.72Avg K/D
70.1ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%0.7712.6
Anubis425%0.7413.0
Nuke333%0.5710.0
Vertigo10%0.8012.0
Ancient10%1.0617.0
Dust21100%1.1121.0
Cache1100%0.6813.0

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.

10.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
43.4%Spray accuracy
53.8%Counter-strafing
9.7°Preaim
609msReaction time
50.4%T opening success
40.9%CT opening success
0.39Enemies flashed / flash
6.1%Flash assists
8.47HE damage / grenade
7.64Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.5374% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3898 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 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
anubis4–13-0.0420%26 Sept →
nuke9–30.048%26 Sept →
inferno3–13-0.029%26 Sept →
dust20–13-0.060%26 Sept →
anubis1–13-0.0611%24 Sept →
mirage13–100.005%24 Sept →
train5–13-0.025%24 Sept →
overpass3–130.012%24 Sept →
anubis13–60.0414%24 Sept →
cache13–9-0.0011%24 Sept →
nuke13–8-0.090%24 Sept →
inferno5–13-0.0310%24 Sept →
vertigo13–40.1018%23 Sept →
vertigo11–13-0.013%23 Sept →
vertigo5–130.0016%23 Sept →
cache13–10.1733%22 Sept →
mirage13–10.0912%22 Sept →
dust20–13-0.0843%22 Sept →
overpass13–70.0011%22 Sept →
overpass13–60.0812%22 Sept →
inferno1–13-0.070%22 Sept →
dust21–13-0.017%22 Sept →
dust24–13-0.0713%22 Sept →
ancient13–11-0.0111%22 Sept →
office13–4-0.0714%22 Sept →
ancient4–130.002%21 Sept →
office6–130.057%21 Sept →
inferno9–13-0.038%21 Sept →
anubis13–90.0215%21 Sept →
cache8–13-0.009%21 Sept →
inferno13–80.017%21 Sept →
mirage11–13-0.0512%20 Sept →
nuke11–130.0111%20 Sept →
inferno13–60.053%20 Sept →
inferno6–13-0.030%20 Sept →
office6–13-0.097%20 Sept →
anubis4–13-0.0612%20 Sept →
office11–130.030%20 Sept →
office0–4-0.060%18 Sept →
office13–10.0430%17 Sept →
anubis1–70.0257%17 Sept →
anubis13–7-0.0117%16 Sept →
anubis13–10.0121%16 Sept →
mirage16–13-0.0213%12 Sept →
anubis8–130.1116%11 Sept →
vertigo11–13-0.050%11 Sept →
vertigo6–130.0025%11 Sept →
train6–13-0.0111%10 Sept →
mirage9–13-0.0522%10 Sept →
nuke4–13-0.0721%10 Sept →
inferno13–80.116%10 Sept →
anubis12–160.147%5 Sept →
nuke4–130.0023%5 Sept →
train13–2-0.0517%4 Sept →
cache8–13-0.0636%3 Sept →
ancient5–13-0.1025%3 Sept →
nuke2–13-0.1220%3 Sept →
anubis6–130.0124%3 Sept →
anubis7–130.0516%27 Aug →
cache4–130.0212%27 Aug →
anubis9–130.0635%26 Aug →
anubis0–13-0.040%25 Aug →
inferno3–13-0.1013%25 Aug →
ancient13–6-0.0310%25 Aug →
dust213–2-0.0720%25 Aug →
cache13–50.0755%25 Aug →
vertigo12–12-0.024%24 Aug →
cache8–13-0.078%24 Aug →
nuke0–13-0.0514%24 Aug →
cache4–130.0724%24 Aug →
anubis12–120.0210%24 Aug →
nuke7–13-0.0310%24 Aug →
ancient4–13-0.0912%24 Aug →
mirage9–13-0.0617%24 Aug →
nuke13–70.028%24 Aug →
vertigo9–5-0.056%24 Aug →
inferno7–9-0.0511%24 Aug →
ancient3–13-0.0612%24 Aug →
dust215–15-0.0212%24 Aug →
anubis13–6-0.0912%24 Aug →
nuke0–13-0.080%22 Aug →
vertigo3–13-0.090%22 Aug →
nuke5–9-0.0311%22 Aug →
inferno0–9-0.1713%22 Aug →
inferno2–13-0.050%21 Aug →
dust23–13-0.070%21 Aug →
vertigo12–12-0.019%21 Aug →
nuke13–8-0.0610%21 Aug →
train6–11-0.079%21 Aug →
mirage13–4-0.0329%21 Aug →
inferno13–11-0.036%20 Aug →
inferno8–13-0.0413%20 Aug →
anubis10–130.019%20 Aug →
nuke13–60.0315%20 Aug →
ancient10–13-0.0411%20 Aug →
cache6–3-0.0511%20 Aug →
cache13–1-0.0212%20 Aug →
mirage10–13-0.0311%20 Aug →
cache8–13-0.049%20 Aug →
anubis13–20.0212%19 Aug →

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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