MØ -vonÐunn-

MØ -vonÐunn- — CS2 Stats

76561198164215425[U:1:203949697]Steam profile ↗✓ No bans

3,781Tracked matches59%Win rate2020Tracked since
CSDB Rating6.5 SolidSupport
Premier CS Rating15,942Purple band · top ~24.7% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (3 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: 15,942 +1,156 4 Sept – 10 Oct · 9 days played
14,55816,166peak 16,1664 Sept10 Oct
16,166Peak Premier in tracked matches
19Days played since 2026-08-28

Premier CS Rating

  • 224 below peak (16,166)
  • +822 over 30 days · improving
  • Next: Pink band at 20,000 — 4,058 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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

Share this profile

CSDB.GGMØ -vonÐunn-FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,942 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning45
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLLLLWTWWLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −1.0pp headshot accuracy · +38ms reaction

Win rate down 30pp 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 -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 609ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 579ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 560ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim8.2
Utility6.1
Positioning4.5
Opening Duels1.3
Clutch3.6

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 48% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 582ms 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

Aim8.2
Positioning4.5
Utility6.1
Mechanics8.1
Opening Duels2.6
Win Impact7.9

Composite 6.5/10 (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 rating0.02+0.05
first ⅓ avg -0.02 → last ⅓ avg 0.02
Reaction time579ms−97ms
first ⅓ avg 676ms → last ⅓ avg 579ms
Headshot accuracy21.7%−4.5%
first ⅓ avg 26.3% → last ⅓ avg 21.7%

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 · 13–9 · cache, 1 Oct →
46%Best headshot accuracy · 5–13 · cache, 9 Sept →
422msFastest reaction time · 13–1 · anubis, 8 Oct →
13–0Biggest win · nuke, 1 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
11–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 67% over 15vertigoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
cacheB209–1145%-0.00
nukeC166–1038%0.00
dust2S1510–567%-0.01
vertigoD124–833%-0.02
infernoC104–640%0.02
anubisC83–538%0.00
ancientC73–443%-0.00
trainC73–443%-0.01
overpassC52–340%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

428Matches
50%Win rate
1.10Avg K/D
77.7ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3938%0.9914.6
Inferno3444%0.9114.2
Nuke3057%1.0312.9
Dust22836%1.0215.5
Mirage2748%0.8814.1
Anubis2343%0.9315.1
Overpass1060%1.0915.9
Cache333%0.8914.3

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.

21.1%Headshot accuracy
39.0%Accuracy (enemy spotted)
32.6%Spray accuracy
86.6%Counter-strafing
8.9°Preaim
582msReaction time
48.3%T opening success
32.5%CT opening success
0.58Enemies flashed / flash
3.1%Flash assists
11.63HE damage / grenade
7.97Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.4624% — below the 40% mark we flag

Spend your practice time on Vertigo

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 12 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0911%10 Oct →
nuke4–13-0.0319%10 Oct →
cache5–13-0.0816%9 Oct →
inferno9–13-0.0424%9 Oct →
nuke13–5-0.067%9 Oct →
anubis12–120.0519%9 Oct →
ancient13–80.0921%9 Oct →
vertigo13–50.0319%9 Oct →
anubis5–13-0.0126%9 Oct →
cache13–50.0238%8 Oct →
vertigo8–13-0.0122%8 Oct →
anubis13–1-0.0025%8 Oct →
inferno13–50.0629%8 Oct →
ancient13–90.0523%8 Oct →
nuke6–130.0116%8 Oct →
dust213–110.0322%8 Oct →
vertigo13–100.0515%8 Oct →
cache13–30.1622%3 Oct →
vertigo9–13-0.0117%3 Oct →
dust26–30.0718%3 Oct →
nuke13–50.0330%1 Oct →
ancient4–130.0026%1 Oct →
vertigo5–13-0.0732%1 Oct →
train8–130.0716%1 Oct →
cache13–90.1723%1 Oct →
dust213–60.0219%1 Oct →
anubis13–40.0918%1 Oct →
overpass0–13-0.0328%1 Oct →
nuke13–00.1424%1 Oct →
inferno13–50.0616%1 Oct →
cache8–130.0028%1 Oct →
vertigo13–110.0523%1 Oct →
vertigo1–13-0.0629%26 Sept →
nuke3–13-0.0526%26 Sept →
cache13–10-0.0723%26 Sept →
vertigo8–13-0.0610%26 Sept →
dust24–13-0.130%26 Sept →
nuke2–130.0131%26 Sept →
cache1–13-0.088%26 Sept →
dust214–16-0.0322%20 Sept →
ancient6–13-0.0722%20 Sept →
anubis3–13-0.0313%18 Sept →
cache13–11-0.0425%16 Sept →
nuke13–60.1319%16 Sept →
cache16–140.0417%15 Sept →
train13–8-0.1114%13 Sept →
cache13–80.0128%12 Sept →
dust25–13-0.0431%12 Sept →
overpass10–13-0.0424%12 Sept →
inferno1–13-0.0417%12 Sept →
cache8–130.0241%12 Sept →
dust213–110.0523%12 Sept →
train11–130.0324%12 Sept →
inferno11–130.0515%12 Sept →
nuke9–13-0.0125%12 Sept →
dust213–8-0.0016%12 Sept →
cache12–120.0617%12 Sept →
cache7–13-0.0125%11 Sept →
vertigo9–13-0.0530%11 Sept →
anubis13–90.0421%11 Sept →
dust26–130.0218%11 Sept →
nuke12–120.0525%11 Sept →
train13–90.0419%10 Sept →
ancient13–100.0120%10 Sept →
cache10–13-0.0221%9 Sept →
vertigo13–7-0.1039%9 Sept →
dust213–80.0723%9 Sept →
nuke3–13-0.0940%9 Sept →
cache5–13-0.0146%9 Sept →
train12–12-0.0623%9 Sept →
inferno13–110.0323%9 Sept →
anubis11–13-0.0538%9 Sept →
vertigo8–13-0.0231%9 Sept →
cache11–13-0.0124%9 Sept →
overpass8–3-0.0632%9 Sept →
dust211–130.0231%9 Sept →
inferno5–13-0.0721%9 Sept →
dust213–9-0.0229%9 Sept →
nuke13–4-0.0118%9 Sept →
cache13–11-0.0518%9 Sept →
dust213–9-0.0415%9 Sept →
inferno3–130.0328%5 Sept →
nuke13–160.0416%4 Sept →
cache13–110.0131%3 Sept →
overpass13–60.0031%3 Sept →
nuke12–12-0.0419%3 Sept →
dust213–10-0.0432%3 Sept →
anubis12–12-0.0616%3 Sept →
inferno2–13-0.0212%3 Sept →
ancient10–13-0.0228%3 Sept →
nuke13–11-0.0420%28 Aug →
dust213–10-0.0526%28 Aug →
cache1–13-0.0340%28 Aug →
train13–110.0232%28 Aug →
cache3–13-0.1317%28 Aug →
overpass11–13-0.0130%28 Aug →
nuke1–13-0.0411%28 Aug →
train11–13-0.0533%28 Aug →
inferno13–110.1336%28 Aug →
vertigo4–13-0.0322%28 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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