Hausarbeit in Latex schreiben

Hausarbeit in Latex schreiben — CS2 Stats

FM76561198430616540[U:1:470350812]Steam profile ↗✓ No bans

3,350Tracked matches45%Win rate2020Tracked since
4,020Hours in CS26Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating26,546Top 5% of 215,386 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#9887 of 261550 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 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: 26,546 +4,927 14 Jul – 11 Nov · 33 days played
20,59627,052peak 27,05214 Jul11 Nov
27,408Peak Premier in tracked matches
29Days played since 2026-07-14

Premier CS Rating

  • 506 below peak (27,052)
  • +1,546 over 30 days · improving
  • +3,227 over 90 days
  • Next: Gold band at 30,000 — 3,454 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate51.2%48.2%50.9%meets
Shot accuracy14.3%13.2%13.7%above
Kill/death ratio1.161.071.09above
Match win rate45.0%46.9%48.4%3.4% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHausarbeit in Latex schre…FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,546 · Red bandcsdb.gg/stats

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Performance scores

Aim78
Positioning65
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateTWWLWLLLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +5.1pp headshot accuracy · +37ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 539ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 533ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 514ms

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 (+1.3 against its own average).

Aim7.8
Utility6.1
Positioning6.5
Opening Duels4.1
Clutch4.2

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 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 →

CSDB Rating breakdown

Aim7.8
Positioning6.5
Utility6.1
Mechanics4.9
Opening Duels4.2
Win Impact3.3

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time523ms−24ms
first ⅓ avg 547ms → last ⅓ avg 523ms
Headshot accuracy19.4%−3.1%
first ⅓ avg 22.5% → last ⅓ avg 19.4%

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

0.21Best match rating · 13–3 · dust2, 21 Jul →
44%Best headshot accuracy · 9–13 · inferno, 5 Nov →
398msFastest reaction time · 10–13 · ancient, 9 Nov →
13–1Biggest win · anubis, 26 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 75% over 16cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientB199–1047%0.02
infernoS1813–572%0.03
mirageC177–1041%0.01
anubisS1612–475%0.05
dust2B137–654%0.03
nukeD103–730%0.04
cacheD51–420%0.03
vertigo—21–150%0.09

Across the last 100 tracked matches.

Lifetime stats

109,666Lifetime kills
1.16K/D · Top 50% of Level 9 players
5,316Matches
45.0%Match win rate
51.2%Headshot % · Top 50% of Level 9 players
14.3%Shot accuracy · Top 50% of Level 9 players
11,360MVPs
2,106Hours (in match)
5,822Bombs planted
1,289Bombs defused

Most-used weapons

AK-4738,281
AWP5,463
MP93,890
FAMAS2,664
MAC-101,822

Lifetime map wins

16,311inferno
4,115nuke
3,770dust2
1,661vertigo
382train
185lake
175safehouse
149office

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

Faceit stats

Combat

518Matches
53%Win rate
1.19Avg K/D
92.7ADR
49%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1662%1.4017.0
Ancient1443%1.2915.1
Mirage1362%1.2617.2
Nuke978%2.3221.1
Anubis729%0.9014.1
Overpass30%0.8914.7
Dust21100%1.3121.0

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.

19.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.3%Spray accuracy
72.0%Counter-strafing
9.7°Preaim
524msReaction time
44.3%T opening success
49.4%CT opening success
0.63Enemies flashed / flash
9.3%Flash assists
12.26HE damage / grenade
8.25Flashes / match

Recommended for you

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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno15–150.0427%11 Nov →
inferno16–140.0427%11 Nov →
nuke13–100.0518%11 Nov →
anubis9–130.0524%11 Nov →
anubis12–30.0710%9 Nov →
dust28–80.0135%9 Nov →
ancient10–13-0.0621%9 Nov →
mirage10–130.0112%9 Nov →
inferno13–80.0926%9 Nov →
anubis13–70.0123%9 Nov →
anubis11–13-0.038%9 Nov →
ancient13–80.0522%9 Nov →
inferno11–130.0112%9 Nov →
mirage11–13-0.0711%9 Nov →
inferno12–16-0.0124%9 Nov →
anubis13–10-0.039%9 Nov →
inferno13–40.0127%9 Nov →
anubis13–30.0523%8 Nov →
ancient9–130.0314%8 Nov →
cache8–130.0322%8 Nov →
nuke5–130.0314%8 Nov →
nuke5–13-0.0420%8 Nov →
cache6–13-0.0310%7 Nov →
ancient1–130.0121%7 Nov →
inferno16–120.0125%7 Nov →
inferno9–130.0444%5 Nov →
anubis13–50.0610%5 Nov →
ancient13–90.0421%3 Nov →
ancient6–13-0.0111%3 Nov →
dust213–40.0316%3 Nov →
anubis13–50.1515%2 Nov →
cache15–150.0315%2 Nov →
inferno16–120.0124%26 Oct →
mirage13–50.0223%24 Oct →
dust213–110.0016%24 Oct →
ancient13–110.0410%24 Oct →
mirage9–13-0.019%23 Oct →
cache13–40.0625%23 Oct →
mirage13–11-0.0215%23 Oct →
mirage8–130.0326%23 Oct →
inferno13–110.0628%22 Oct →
dust210–13-0.0918%22 Oct →
dust214–16-0.0319%22 Oct →
anubis8–130.0014%22 Oct →
nuke10–130.0313%15 Oct →
nuke13–50.0626%15 Oct →
dust210–50.0223%29 Sept →
nuke15–150.0623%29 Sept →
ancient13–100.0114%29 Sept →
anubis13–70.0921%28 Sept →
anubis13–110.0724%28 Sept →
nuke3–13-0.0315%28 Sept →
dust213–90.0721%27 Sept →
ancient13–30.1021%27 Sept →
dust213–40.0438%27 Sept →
anubis8–130.0522%27 Sept →
anubis13–8-0.0219%26 Sept →
dust23–13-0.0417%26 Sept →
anubis13–10.2022%26 Sept →
ancient11–130.0420%26 Sept →
inferno13–70.0325%26 Sept →
mirage13–16-0.0315%26 Sept →
ancient9–13-0.0221%25 Sept →
inferno13–80.0522%23 Sept →
ancient13–90.1116%23 Sept →
dust24–130.0521%23 Sept →
nuke15–150.1130%23 Sept →
vertigo6–130.0223%23 Sept →
vertigo13–10.1635%23 Sept →
mirage7–130.0323%22 Sept →
mirage13–6-0.0111%22 Sept →
mirage13–50.0232%9 Sept →
inferno7–130.0727%9 Sept →
ancient4–130.0022%5 Aug →
inferno13–11-0.0122%28 Jul →
mirage13–90.0115%28 Jul →
mirage14–160.0320%27 Jul →
ancient13–110.0037%27 Jul →
mirage16–13-0.0432%27 Jul →
inferno13–30.0937%27 Jul →
ancient8–13-0.0013%27 Jul →
nuke13–110.0324%22 Jul →
ancient14–160.0415%22 Jul →
mirage11–130.0114%22 Jul →
dust213–30.2121%21 Jul →
mirage6–130.0417%21 Jul →
ancient6–13-0.0313%18 Jul →
inferno16–140.0524%18 Jul →
inferno13–90.0619%16 Jul →
mirage13–40.1220%16 Jul →
anubis13–110.0320%16 Jul →
inferno13–7-0.0019%16 Jul →
dust213–110.0917%15 Jul →
cache7–130.0337%15 Jul →
dust25–130.0533%15 Jul →
mirage7–13-0.0128%15 Jul →
anubis13–90.0815%15 Jul →
nuke14–160.0918%14 Jul →
ancient13–80.0919%14 Jul →
ancient13–100.0122%14 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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