röpö

röpö — CS2 Stats

FI76561198988420748[U:1:1028155020]Steam profile ↗✓ No bans

281Tracked matches62%Win rate2025Tracked since
808Hours in CS49Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating7,294Light Blue band · top ~67.8% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 7,294 +4,258 23 Jul – 13 Oct · 33 days played
2,9227,294peak 7,29423 Jul13 Oct
7,408Peak Premier in tracked matches
35Days played since 2026-07-22

Premier CS Rating

  • At peak — 7,294
  • +2,295 over 30 days · improving
  • +4,258 over 90 days
  • Next: Blue band at 10,000 — 2,706 to go
  • Reached: Light Blue band

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
Matches81——
Win rate46%——
K/D0.74——
Headshot %40%——

Measured 15 Sep 2026 → 14 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate39.8%39.9%42.0%2.2% short
Shot accuracy10.8%7.0%9.6%above
Kill/death ratio0.710.920.980.27 short
Match win rate30.5%42.3%43.8%13.3% short

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

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

Share this profile

CSDB.GGröpöPREMIER7,294 · Light Blue 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

Aim58
Positioning60
Utility38

0–100 skill scores via Leetify.

Recent form

HOT44–50–6Last 10044%Win rateLWWWWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −4.6pp headshot accuracy · −2ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 548ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 604ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 605ms

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 (+1.7 against its own average).

Aim5.8
Utility3.8
Positioning6.0
Opening Duels3.3
Clutch4.0

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 87% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 617ms 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
Positioning6.0
Utility3.8
Mechanics5.0
Opening Duels6.8
Win Impact9.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time627ms−19ms
first ⅓ avg 646ms → last ⅓ avg 627ms
Headshot accuracy15.4%−0.4%
first ⅓ avg 15.8% → last ⅓ avg 15.4%

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

0.08Best match rating · 13–3 · nuke, 8 Oct →
35%Best headshot accuracy · 5–13 · mirage, 6 Aug →
391msFastest reaction time · 15–15 · inferno, 25 Jul →
13–1Biggest win · mirage, 21 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 64% over 11ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%-0.03
nukeB189–950%-0.03
dust2D165–1131%-0.04
ancientD123–925%-0.03
infernoD123–925%-0.05
cacheA127–558%-0.02
anubisA117–464%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,575Lifetime kills
0.71K/D
1,532Matches
30.5%Match win rate
39.8%Headshot %
10.8%Shot accuracy · Top 50% of Light Blue band
2,105MVPs
431Hours (in match)
739Bombs planted
144Bombs defused

Most-used weapons

Lifetime map wins

1,989dust2
1,063inferno
862nuke
345vertigo
326train
131cbble
21safehouse
19lake

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

Faceit stats

Combat

10Matches
60%Win rate
0.77Avg K/D
59.0ADR
33%Headshot %

Clutches & streaks

40%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke367%0.9610.7
Anubis250%0.5911.5
Cache250%0.8615.5
Overpass1100%0.9314.0
Ancient10%0.244.0
Inferno1100%0.7322.0

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.

15.1%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.0%Spray accuracy
72.5%Counter-strafing
9.4°Preaim
617msReaction time
66.5%T opening success
47.7%CT opening success
0.56Enemies flashed / flash
6.1%Flash assists
8.02HE damage / grenade
5.62Flashes / match

Recommended for you

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.047%13 Oct →
mirage13–6-0.039%13 Oct →
dust213–80.0617%13 Oct →
ancient13–11-0.0310%13 Oct →
nuke13–100.0010%13 Oct →
inferno13–9-0.0211%13 Oct →
mirage13–11-0.0014%13 Oct →
cache13–110.0411%12 Oct →
anubis16–120.0217%11 Oct →
dust27–13-0.0421%11 Oct →
anubis10–13-0.0110%10 Oct →
nuke13–8-0.0129%10 Oct →
mirage8–13-0.0511%10 Oct →
mirage16–140.0016%10 Oct →
dust27–13-0.0820%9 Oct →
anubis13–10-0.0217%8 Oct →
nuke13–30.0821%8 Oct →
mirage13–4-0.0119%8 Oct →
cache11–13-0.059%8 Oct →
mirage13–80.0219%8 Oct →
dust27–13-0.1010%8 Oct →
cache15–150.0211%8 Oct →
mirage7–13-0.067%7 Oct →
dust213–8-0.0226%5 Oct →
cache13–9-0.067%2 Oct →
anubis16–12-0.0416%2 Oct →
dust213–10-0.0732%2 Oct →
inferno11–13-0.0519%2 Oct →
inferno4–13-0.0722%2 Oct →
dust23–13-0.0513%1 Oct →
nuke8–13-0.0817%30 Sept →
dust29–13-0.0413%30 Sept →
mirage13–60.0221%30 Sept →
nuke4–13-0.0521%30 Sept →
anubis13–11-0.0213%30 Sept →
nuke13–8-0.054%30 Sept →
dust24–13-0.1017%30 Sept →
dust211–130.0624%24 Sept →
nuke15–150.0019%24 Sept →
inferno6–13-0.1024%24 Sept →
dust25–13-0.0725%24 Sept →
ancient6–13-0.0511%24 Sept →
cache8–13-0.0611%23 Sept →
cache7–13-0.0713%23 Sept →
mirage4–13-0.0611%23 Sept →
nuke6–13-0.0334%22 Sept →
inferno9–13-0.0727%22 Sept →
ancient8–13-0.0621%22 Sept →
anubis5–13-0.038%22 Sept →
mirage13–6-0.046%22 Sept →
cache13–80.0724%22 Sept →
inferno13–8-0.0313%21 Sept →
ancient8–13-0.0210%21 Sept →
nuke13–11-0.0610%21 Sept →
inferno3–13-0.100%21 Sept →
mirage13–1-0.089%21 Sept →
anubis10–13-0.048%21 Sept →
dust23–13-0.0623%11 Sept →
anubis13–11-0.029%1 Sept →
dust216–140.0413%1 Sept →
anubis13–50.0019%31 Aug →
ancient10–13-0.0125%31 Aug →
ancient10–13-0.0810%31 Aug →
cache16–14-0.0117%31 Aug →
mirage11–130.0315%31 Aug →
ancient15–15-0.0410%19 Aug →
nuke11–13-0.0411%19 Aug →
cache3–13-0.079%17 Aug →
nuke16–14-0.0317%17 Aug →
cache13–110.029%12 Aug →
mirage13–5-0.0412%12 Aug →
nuke11–13-0.0919%12 Aug →
mirage5–13-0.0235%6 Aug →
mirage16–12-0.0319%5 Aug →
mirage8–13-0.095%4 Aug →
anubis15–150.009%4 Aug →
ancient3–13-0.104%4 Aug →
inferno11–13-0.046%4 Aug →
mirage15–15-0.0110%4 Aug →
ancient9–13-0.0124%3 Aug →
mirage9–13-0.0210%3 Aug →
ancient5–130.0211%2 Aug →
nuke13–5-0.0424%2 Aug →
ancient13–4-0.0027%31 Jul →
inferno13–30.006%31 Jul →
inferno7–13-0.0521%30 Jul →
dust25–12-0.0424%30 Jul →
cache13–8-0.0121%29 Jul →
nuke5–13-0.0517%28 Jul →
cache13–110.0017%28 Jul →
dust22–00.000%28 Jul →
mirage4–13-0.0425%28 Jul →
nuke13–7-0.0013%27 Jul →
anubis13–11-0.0318%27 Jul →
ancient13–9-0.0213%27 Jul →
inferno15–15-0.0623%25 Jul →
dust23–13-0.1232%24 Jul →
nuke13–9-0.138%23 Jul →
inferno8–13-0.0314%23 Jul →
nuke7–130.0022%22 Jul →

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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