Münk D. Ope

Münk D. Ope — CS2 Stats

DE76561198060234477[U:1:99968749]Steam profile ↗✓ No bans

968Tracked matches62%Win rate2023Tracked since
1,460Hours in CS
CSDB Rating6.3 SolidHybrid Rifler
Premier CS Rating16,806Purple band · top ~21.2% of ranked players (population est.)
CSDB Leaderboard#30678 of 57599 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=7,746), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.5%44.2%47.1%6.5% short
Shot accuracy14.4%11.7%12.8%above
Kill/death ratio0.991.031.080.09 short
Match win rate41.5%45.2%46.7%5.1% short

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

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

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CSDB.GGMünk D. OpePREMIER16,806 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning48
Utility49

0–100 skill scores via Leetify.

Recent form

HOT53416Last 10053%Win rateWWWLWWWWLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.7
Aggression5.6
Utility4.9
Positioning4.8
Opening Duels2.2
Clutch2.0

Strong CT-side openerEffective flashes

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim7.7
Positioning4.8
Utility4.9
Mechanics7.4
Opening Duels2.4
Win Impact9.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time563ms−86ms
first ⅓ avg 649ms → last ⅓ avg 563ms
Headshot accuracy15.3%−0.3%
first ⅓ avg 15.6% → 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

0.15Best rating — ancient 13–4
131Biggest win — inferno
8Longest win streak
W3Current streak
58In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 67% over 15infernoWeakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
dust2A27161159%-0.00
infernoD2481633%-0.01
cacheS1510567%0.02
mirageB147750%0.00
ancientS128467%0.03
anubisB63350%-0.02
boulder110100%0.04
nuke1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,583Lifetime kills
0.99K/D
3,451Matches
41.5%Match win rate
40.5%Headshot %
14.4%Shot accuracy · Top 50% of Purple band
6,278MVPs
1,460Hours (in match)
3,251Bombs planted
745Bombs defused

Most-used weapons

Lifetime map wins

5,102inferno
3,456dust2
1,504nuke
819cbble
387train
143safehouse
135lake
115italy

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

Faceit stats

Combat

128Matches
56%Win rate
1.13Avg K/D
73.6ADR
42%Headshot %

Clutches & streaks

30%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3043%1.0516.0
Anubis2259%0.9816.4
Mirage2055%1.3014.3
Dust21753%1.0714.7
Overpass1567%1.4316.9
Ancient1060%1.0715.2
Nuke875%0.8612.0
Cache367%0.819.3

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.

15.3%Headshot accuracy
36.9%Accuracy (enemy spotted)
37.7%Spray accuracy
83.2%Counter-strafing
9.2°Preaim
550msReaction time
28.5%T opening success
49.4%CT opening success
0.82Enemies flashed / flash
2.8%Flash assists
7.84HE damage / grenade
7.94Flashes / 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

    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 28.5461% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.049%30 Aug
inferno9–60.019%30 Aug
cache13–100.0111%29 Aug
mirage5–13-0.0222%29 Aug
mirage13–4-0.0410%29 Aug
inferno13–110.039%29 Aug
ancient13–40.0213%29 Aug
dust213–9-0.0110%26 Aug
ancient5–13-0.0710%24 Aug
ancient13–90.1011%21 Aug
cache13–100.0732%21 Aug
inferno10–130.0820%20 Aug
ancient13–80.0515%18 Aug
cache13–5-0.0516%17 Aug
inferno13–10-0.0410%16 Aug
dust213–9-0.0222%15 Aug
inferno9–13-0.058%15 Aug
dust213–4-0.0711%15 Aug
dust27–130.1027%15 Aug
cache8–130.0413%14 Aug
cache12–120.0620%14 Aug
inferno9–13-0.0212%14 Aug
dust213–80.0313%13 Aug
dust211–13-0.0517%12 Aug
boulder13–40.0421%10 Aug
mirage2–13-0.0611%10 Aug
mirage10–130.0619%10 Aug
dust211–13-0.0320%10 Aug
anubis13–11-0.0514%7 Aug
ancient13–40.1517%7 Aug
cache13–100.0221%7 Aug
dust26–13-0.0516%7 Aug
dust213–50.0515%6 Aug
mirage13–7-0.009%6 Aug
ancient13–11-0.0210%6 Aug
inferno13–10.0131%6 Aug
dust213–100.0616%5 Aug
inferno4–13-0.075%5 Aug
inferno11–130.0214%5 Aug
dust26–13-0.0119%5 Aug
mirage13–70.0412%5 Aug
inferno2–13-0.0815%4 Aug
ancient7–130.0220%4 Aug
dust214–16-0.0426%4 Aug
dust213–9-0.0512%4 Aug
inferno4–13-0.0713%3 Aug
cache10–130.0216%3 Aug
mirage12–120.0215%3 Aug
inferno8–40.0622%3 Aug
inferno11–13-0.0311%2 Aug
inferno2–13-0.0714%2 Aug
dust25–13-0.0319%2 Aug
mirage6–13-0.0411%2 Aug
dust213–90.0310%2 Aug
inferno2–130.0139%2 Aug
mirage13–50.0720%2 Aug
mirage2–13-0.0823%2 Aug
anubis13–50.0211%1 Aug
cache13–9-0.0420%1 Aug
ancient15–150.0115%1 Aug
ancient7–13-0.0228%1 Aug
inferno8–13-0.0022%1 Aug
cache12–120.0517%1 Aug
mirage3–130.0018%1 Aug
mirage13–10.0710%1 Aug
inferno15–15-0.0823%31 Jul
dust23–13-0.0510%31 Jul
dust211–13-0.0617%31 Jul
inferno6–130.027%31 Jul
cache16–140.0414%31 Jul
mirage13–100.0111%31 Jul
inferno14–16-0.0511%31 Jul
inferno13–90.0117%31 Jul
dust213–3-0.0012%31 Jul
cache13–10.0816%31 Jul
ancient13–50.0513%31 Jul
anubis13–50.0617%31 Jul
dust216–13-0.0615%30 Jul
nuke7–130.0117%30 Jul
cache13–100.039%30 Jul
cache13–80.0317%30 Jul
anubis5–13-0.0222%30 Jul
dust27–130.0226%30 Jul
inferno11–130.0214%30 Jul
dust213–70.0813%30 Jul
dust213–70.0430%30 Jul
dust213–50.0816%29 Jul
mirage13–10-0.0315%29 Jul
dust213–80.0219%29 Jul
inferno13–20.1132%28 Jul
dust213–5-0.049%28 Jul
dust213–7-0.0312%28 Jul
cache15–15-0.0117%27 Jul
anubis0–13-0.099%26 Jul
dust213–16-0.0223%26 Jul
ancient16–120.0611%24 Jul
cache16–14-0.0518%24 Jul
anubis12–16-0.0212%24 Jul
inferno9–13-0.0715%23 Jul
ancient13–9-0.039%23 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →