Deine Mudda

Deine Mudda — CS2 Stats

DE76561198035964627[U:1:75698899]Steam profile ↗✓ No bans

1,209Tracked matches21%Win rate2020Tracked since
CSDB Rating2.0 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 1,209
+4.2ppWin rate · 17.2% → 21.4%

Rating over time

Premier CS Rating: 6,396 -2,464 12 Dec – 16 Jun · 16 days played
6,3968,860peak 8,86012 Dec16 Jun
8,860Peak Premier in tracked matches
51Days played since 2025-12-05

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

Performance scores

Aim11
Positioning43
Utility21

0–100 skill scores via Leetify.

Recent form

COLD32–65–3Last 10032%Win rateWLLTLLLLLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +1.9pp headshot accuracy · −62ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 650ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 674ms

Last 20

  • 3–15–2 · 15% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 705ms

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 (+2 against its own average).

Aim1.1
Utility2.1
Positioning4.3
Opening Duels0.6

Limited utility dependence

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

jL

Plays most like jL 63% 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

Areas to improve

Reaction time. 723ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.1
Positioning4.3
Utility2.1
Mechanics2.4
Opening Duels1.1
Win Impact0.0

Composite 2.0/10 (Learning), 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 rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time724ms−15ms
first ⅓ avg 739ms → last ⅓ avg 724ms
Headshot accuracy9.1%−1.4%
first ⅓ avg 10.5% → last ⅓ avg 9.1%

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

0.05Best match rating · 13–4 · cache, 12 May →
29%Best headshot accuracy · 2–7 · cache, 24 May →
492msFastest reaction time · 2–11 · anubis, 25 Sept →
13–2Biggest win · anubis, 24 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 64% over 11cacheWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
anubisC198–1142%-0.04
cacheD162–1413%-0.04
nukeB168–850%-0.03
ancientD132–1115%-0.06
infernoA117–464%-0.03
overpassC52–340%-0.03
warden—40–40%-0.09
boulder—31–233%-0.08
dust2—30–30%-0.05
alpine—31–233%-0.04
vertigo—20–20%-0.11
stronghold—20–20%-0.03
shelter—10–10%-0.06
mirage—10–10%-0.08
palacio—11–0100%0.01

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.2%Headshot accuracy
29.3%Accuracy (enemy spotted)
30.8%Spray accuracy
61.0%Counter-strafing
14.6°Preaim
723msReaction time
28.1%T opening success
38.5%CT opening success
0.42Enemies flashed / flash
0.0%Flash assists
7.46HE damage / grenade
0.92Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.5529° — above the 12° mark we flag

    Aim Training →
  2. 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 9.1589% — below the 15% mark we flag

    Aim Training →
  3. 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 722.8195ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Cache

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

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
boulder13–11-0.069%2 Oct →
anubis5–13-0.038%25 Sept →
anubis2–11-0.0510%25 Sept →
cache12–12-0.085%25 Sept →
cache5–13-0.0410%11 Sept →
anubis6–13-0.0515%11 Sept →
overpass6–13-0.059%11 Sept →
cache10–13-0.0413%3 Sept →
ancient11–13-0.1014%31 Aug →
anubis8–13-0.0311%14 Aug →
dust26–13-0.0421%13 Aug →
dust28–13-0.049%13 Aug →
boulder5–13-0.0716%7 Aug →
cache2–13-0.100%7 Aug →
ancient15–15-0.068%5 Aug →
inferno13–7-0.0311%3 Aug →
nuke9–13-0.052%3 Aug →
nuke13–50.0110%31 Jul →
cache4–13-0.064%31 Jul →
boulder4–13-0.113%24 Jul →
shelter4–13-0.0617%24 Jul →
anubis13–80.039%17 Jul →
nuke13–80.0110%17 Jul →
cache14–16-0.046%9 Jul →
ancient10–13-0.1012%16 Jun →
nuke11–13-0.084%14 Jun →
anubis2–13-0.0810%7 Jun →
inferno5–13-0.086%7 Jun →
mirage6–13-0.088%5 Jun →
ancient13–30.0211%5 Jun →
vertigo1–13-0.138%5 Jun →
anubis0–13-0.115%5 Jun →
cache5–13-0.0211%5 Jun →
anubis14–16-0.0112%26 May →
inferno13–100.006%24 May →
anubis13–2-0.0511%24 May →
cache2–7-0.0129%24 May →
vertigo10–13-0.098%22 May →
anubis13–4-0.0111%22 May →
warden2–9-0.130%22 May →
cache5–13-0.055%22 May →
cache3–13-0.0218%16 May →
cache4–13-0.0812%16 May →
cache5–13-0.017%16 May →
overpass13–5-0.0113%16 May →
nuke13–50.0314%16 May →
nuke4–13-0.1211%16 May →
anubis11–13-0.0714%14 May →
warden5–13-0.0512%14 May →
cache6–13-0.0314%14 May →
cache13–40.0510%12 May →
nuke8–13-0.088%10 May →
ancient10–13-0.045%10 May →
cache13–11-0.0510%5 May →
cache8–13-0.058%30 Apr →
ancient5–13-0.069%28 Apr →
nuke13–11-0.0610%28 Apr →
nuke7–13-0.098%26 Apr →
inferno9–13-0.054%24 Apr →
nuke7–13-0.0513%24 Apr →
alpine4–6-0.060%24 Apr →
warden12–12-0.098%24 Apr →
anubis4–13-0.0511%24 Apr →
nuke13–90.0113%16 Apr →
nuke4–13-0.088%27 Mar →
anubis13–10-0.067%27 Mar →
anubis13–7-0.0414%26 Mar →
inferno16–13-0.0412%26 Mar →
inferno13–11-0.049%20 Mar →
nuke13–8-0.028%20 Mar →
dust27–13-0.080%20 Mar →
nuke13–90.029%16 Mar →
ancient13–8-0.0111%12 Mar →
overpass13–7-0.0315%10 Mar →
inferno13–40.0111%10 Mar →
anubis13–80.0312%10 Mar →
anubis10–13-0.0413%8 Mar →
nuke13–50.0213%8 Mar →
inferno13–8-0.0420%6 Mar →
alpine13–60.049%6 Mar →
stronghold9–13-0.028%6 Mar →
anubis13–9-0.0310%5 Mar →
nuke9–130.019%5 Mar →
inferno7–13-0.0411%3 Mar →
ancient10–13-0.0627%27 Feb →
anubis2–13-0.0816%27 Feb →
alpine10–13-0.100%20 Feb →
ancient6–13-0.093%6 Feb →
stronghold2–13-0.0513%6 Feb →
warden4–13-0.090%30 Jan →
ancient8–13-0.075%23 Jan →
ancient2–13-0.059%29 Dec →
overpass2–13-0.057%29 Dec →
ancient9–13-0.105%19 Dec →
overpass11–130.0116%17 Dec →
ancient9–13-0.0211%17 Dec →
inferno8–13-0.0424%12 Dec →
inferno13–30.0213%5 Dec →
palacio13–20.015%5 Dec →
anubis13–11-0.0313%5 Dec →

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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