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röpö — CS2 Stats

76561198988420748[U:1:1028155020]

210Tracked matches48%Win rate2025Tracked since
735Hours in CS4Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating4,772Grey band · top ~79.8% of ranked players (population est.)
CSDB Leaderboard#20972 of 27193 tracked
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 medianvs Light Blue band
Headshot rate39.8%40.1%meets
Shot accuracy11.4%7.6%above
Kill/death ratio0.710.920.21 short
Match win rate29.6%42.2%12.6% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGröpöPREMIER4,772 · Grey bandcsdb.gg/stats

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Performance scores

Aim49
Positioning42
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY39–53–8Last 10039%Win rateTLLWWWLLWL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim4.9
Aggression4.9
Utility3.2
Positioning4.2
Opening Duels0.3
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-fight frequency, 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 43% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim4.9
Positioning4.2
Utility3.2
Mechanics5.7
Opening Duels1.6
Win Impact4.4

Composite 3.8/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time637ms−93ms
first ⅓ avg 729ms → last ⅓ avg 637ms
Headshot accuracy15.3%+0.1%
first ⅓ avg 15.3% → last ⅓ avg 15.3%

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.

Highlights

0.04Best rating — cache 13–10
13–2Biggest win — cache
3Longest win streak
9–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 56% over 16anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C187–1139%-0.04
cacheA169–756%-0.03
mirageC167–944%-0.03
nukeC156–940%-0.05
ancientC125–742%-0.04
infernoD124–833%-0.03
anubisD51–420%-0.02
train—20–20%-0.05
overpass—20–20%-0.06
vertigo—10–10%-0.10
italy—10–10%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,330Lifetime kills
0.71K/D
1,442Matches
29.6%Match win rate
39.8%Headshot %
11.4%Shot accuracy
1,952MVPs
393Hours (in match)
658Bombs planted
130Bombs defused

Most-used weapons

AK-474,022
M4A4 / M4A1-S2,522
AWP2,104
P2000 / USP-S1,093
Desert Eagle971
Glock-18875
SG 553669
AUG496
Galil AR452
MP7411

Lifetime map wins

1,837dust2
946inferno
714nuke
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

1Matches
100%Win rate
0.93Avg K/D
71.7ADR
43%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

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.

14.9%Headshot accuracy
33.4%Accuracy (enemy spotted)
32.8%Spray accuracy
75.5%Counter-strafing
10.3°Preaim
652msReaction time
19.4%T opening success
42.9%CT opening success
0.45Enemies flashed / flash
2.3%Flash assists
7.98HE damage / grenade
2.46Flashes / 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 14.8838% — 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 0.4486 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 19.4345% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
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 →
anubis8–13-0.0124%22 Jul →
mirage4–13-0.0617%22 Jul →
cache13–16-0.0323%21 Jul →
inferno5–13-0.0518%21 Jul →
cache13–70.0223%20 Jul →
dust21–13-0.0815%20 Jul →
dust213–80.0021%19 Jul →
cache13–6-0.0118%19 Jul →
ancient13–9-0.0313%19 Jul →
nuke15–15-0.068%19 Jul →
nuke13–5-0.0217%16 Jul →
inferno13–40.0018%16 Jul →
anubis8–13-0.0713%16 Jul →
dust211–130.0120%14 Jul →
ancient8–13-0.1113%14 Jul →
dust23–13-0.1312%12 Jul →
cache13–11-0.0220%12 Jul →
inferno5–13-0.0219%12 Jul →
ancient13–9-0.0015%12 Jul →
train8–13-0.0120%9 Jul →
dust210–13-0.0621%8 Jul →
dust212–12-0.0811%8 Jul →
dust25–130.0211%8 Jul →
mirage13–10-0.0415%8 Jul →
nuke13–10-0.0717%8 Jul →
overpass2–13-0.0426%7 Jul →
cache13–2-0.0413%7 Jul →
dust213–7-0.0216%7 Jul →
vertigo8–8-0.104%7 Jul →
dust213–30.0229%7 Jul →
train9–13-0.0925%6 Jul →
cache5–13-0.0711%6 Jul →
inferno12–12-0.0513%6 Jul →
mirage13–2-0.0331%6 Jul →
dust213–10-0.0610%6 Jul →
ancient4–13-0.1011%6 Jul →
mirage5–13-0.0710%5 Jul →
dust213–11-0.0520%5 Jul →
cache10–13-0.1413%5 Jul →
nuke7–13-0.067%5 Jul →
inferno13–80.0110%30 Jun →
mirage13–11-0.0713%30 Jun →
inferno9–13-0.0526%30 Jun →
italy10–13-0.0621%26 Jun →
dust28–13-0.0836%26 Jun →
cache13–30.0129%26 Jun →
cache6–13-0.0617%26 Jun →
ancient14–16-0.0317%26 Jun →
anubis5–13-0.0212%25 Jun →
mirage13–110.0215%22 Jun →
dust216–12-0.0311%6 Jun →
overpass7–13-0.0813%22 May →
mirage13–80.0420%17 May →
cache13–100.0427%14 May →
nuke11–13-0.0514%12 May →
cache5–13-0.156%10 May →
cache5–13-0.0320%3 May →
ancient13–9-0.035%23 Apr →
nuke6–13-0.0111%23 Apr →
mirage11–13-0.027%22 Apr →
mirage10–13-0.0613%21 Apr →
dust26–13-0.0319%21 Apr →
dust26–13-0.069%20 Apr →
nuke14–16-0.056%18 Apr →
inferno13–10-0.0112%13 Apr →

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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