M@uli

M@uli — CS2 Stats

DE76561198326733532[U:1:366467804]Steam profile ↗✓ No bans

3,535Tracked matches62%Win rate2020Tracked since
CSDB Rating4.6 DevelopingSupport
Premier CS Rating5,103Light Blue band · top ~78.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (5 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: 5,103 +766 4 Sept – 3 Oct · 7 days played
4,3375,103peak 5,1034 Sept3 Oct
5,103Peak Premier in tracked matches
21Days played since 2026-07-24

Premier CS Rating

  • At peak — 5,103
  • +766 over 30 days · improving
  • Next: Blue band at 10,000 — 4,897 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.

Share this profile

CSDB.GGM@uliPREMIER5,103 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning40
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateWWLLWWLTLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −0.3pp headshot accuracy · +44ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 680ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 739ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 717ms

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 (+3.9 against its own average).

Aim4.4
Utility6.5
Positioning4.0
Opening Duels0.0
Clutch0.0

Strong CT-side opener

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 64% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 736ms 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

Aim4.4
Positioning4.0
Utility6.5
Mechanics6.7
Opening Duels1.2
Win Impact9.0

Composite 4.6/10 (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-0.01+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time732ms+35ms
first ⅓ avg 697ms → last ⅓ avg 732ms
Headshot accuracy16.6%+1.6%
first ⅓ avg 15.0% → last ⅓ avg 16.6%

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

0.15Best match rating · 13–1 · anubis, 3 Oct →
41%Best headshot accuracy · 6–13 · dust2, 11 Sept →
445msFastest reaction time · 4–13 · dust2, 13 Sept →
13–0Biggest win · inferno, 4 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
9–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 67% over 6dust2Weakest map · 43% over 77
MapGradePlayedRecordWin rateAvg rating
dust2C7733–4443%-0.02
ancientC73–443%-0.04
infernoS64–267%-0.00
cache—43–175%-0.04
nuke—20–20%-0.07
anubis—22–0100%0.06
train—11–0100%-0.01
mirage—11–0100%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 77). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches
33%Win rate
0.71Avg K/D
63.4ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust240%0.7112.3
Ancient1100%0.214.0
Anubis10%0.5010.0
Cache1100%0.8821.0

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.

17.0%Headshot accuracy
32.0%Accuracy (enemy spotted)
28.2%Spray accuracy
80.2%Counter-strafing
9.6°Preaim
736msReaction time
33.1%T opening success
36.6%CT opening success
0.57Enemies flashed / flash
3.5%Flash assists
9.48HE damage / grenade
13.49Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 736.4672ms — above the 700ms mark we flag

    Aim Training →
  2. 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 33.1092% — below the 40% mark we flag

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.

43% win rate across 77 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
dust213–9-0.0120%8 Oct →
dust211–3-0.0310%8 Oct →
dust24–13-0.0516%8 Oct →
nuke7–13-0.079%4 Oct →
train13–4-0.0119%4 Oct →
dust213–60.0214%4 Oct →
dust29–130.0511%3 Oct →
dust212–12-0.0215%3 Oct →
dust28–13-0.0125%3 Oct →
dust213–3-0.0013%3 Oct →
anubis13–10.1513%3 Oct →
mirage13–3-0.074%3 Oct →
cache9–13-0.0814%3 Oct →
dust213–60.0320%3 Oct →
dust213–11-0.070%3 Oct →
dust213–80.0125%2 Oct →
dust213–80.1320%2 Oct →
dust213–80.0417%2 Oct →
dust29–130.0217%2 Oct →
dust213–7-0.0526%2 Oct →
dust213–60.0512%2 Oct →
dust211–13-0.0221%2 Oct →
dust28–13-0.0333%26 Sept →
dust213–3-0.0518%26 Sept →
dust26–13-0.0325%26 Sept →
dust29–13-0.0222%25 Sept →
dust213–50.118%25 Sept →
nuke5–13-0.0711%25 Sept →
ancient13–9-0.0426%25 Sept →
dust213–11-0.0419%25 Sept →
dust27–13-0.0112%19 Sept →
dust24–13-0.0110%19 Sept →
dust213–5-0.0524%19 Sept →
anubis13–3-0.0419%19 Sept →
ancient13–11-0.0115%14 Sept →
dust29–13-0.0711%14 Sept →
dust29–130.009%14 Sept →
cache13–9-0.0611%14 Sept →
inferno7–13-0.0614%14 Sept →
dust22–13-0.0311%14 Sept →
dust27–13-0.0419%13 Sept →
dust212–12-0.0227%13 Sept →
dust213–10.0819%13 Sept →
dust24–13-0.0425%13 Sept →
dust26–13-0.0026%13 Sept →
dust26–13-0.0213%13 Sept →
dust213–7-0.0121%13 Sept →
dust213–6-0.0123%13 Sept →
dust211–13-0.0624%13 Sept →
dust28–13-0.0623%13 Sept →
dust213–60.0322%12 Sept →
dust29–130.0211%12 Sept →
dust22–13-0.1120%12 Sept →
dust212–12-0.0216%11 Sept →
dust20–8-0.1014%11 Sept →
dust213–10-0.0615%11 Sept →
dust212–12-0.0818%11 Sept →
dust210–13-0.007%11 Sept →
dust29–13-0.0116%11 Sept →
dust213–11-0.0518%11 Sept →
dust26–13-0.0741%11 Sept →
ancient3–13-0.1119%5 Sept →
cache13–10-0.0211%5 Sept →
ancient13–10-0.0315%5 Sept →
inferno15–15-0.0117%5 Sept →
inferno13–30.0118%5 Sept →
ancient4–13-0.1022%4 Sept →
dust213–80.0219%4 Sept →
dust213–110.0220%4 Sept →
inferno13–00.035%4 Sept →
inferno13–10.0314%4 Sept →
dust29–13-0.0511%29 Aug →
dust210–13-0.019%29 Aug →
dust28–13-0.0721%23 Aug →
dust213–6-0.084%23 Aug →
dust213–8-0.0611%23 Aug →
dust210–13-0.1120%23 Aug →
cache13–10-0.028%22 Aug →
inferno13–10-0.029%22 Aug →
dust26–13-0.0912%22 Aug →
dust213–4-0.0521%22 Aug →
dust213–3-0.0416%22 Aug →
ancient7–13-0.0117%22 Aug →
dust28–130.0116%16 Aug →
dust213–11-0.0220%16 Aug →
ancient11–130.0014%16 Aug →
dust213–60.0024%16 Aug →
dust213–11-0.0011%15 Aug →
dust29–13-0.1018%15 Aug →
dust213–0-0.037%15 Aug →
dust25–13-0.0725%14 Aug →
dust26–130.019%25 Jul →
dust25–13-0.0222%25 Jul →
dust213–11-0.0114%25 Jul →
dust25–13-0.0615%25 Jul →
dust24–13-0.0620%25 Jul →
dust28–13-0.0516%25 Jul →
dust22–13-0.0715%25 Jul →
dust213–11-0.0912%25 Jul →
dust212–12-0.0320%24 Jul →

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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