Arschschnitzel

Arschschnitzel — CS2 Stats

AT76561198058907328[U:1:98641600]Steam profile ↗✓ No bans

3,451Tracked matches34%Win rate2020Tracked since
4,398Hours in CS6Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Premier CS Rating11,542Blue band · top ~46.7% of ranked players (population est.)
FaceitLevel 2 · 696 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (8 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: 11,542 -1,540 3 Aug – 5 Oct · 21 days played
11,54214,065peak 14,0653 Aug5 Oct
Faceit ELO: 696 +0 1 Sept – 20 Sept · 2 observations
696696peak 6961 Sept20 Sept
14,065Peak Premier in tracked matches
696Highest Faceit ELO seen on CSDB
44Days played since 2026-07-30

Faceit ELO

  • At peak — 696
  • Next: Level 3 at 751 — 55 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-01

Premier CS Rating

  • 2,523 below peak (14,065)
  • -1,393 over 30 days · declining
  • Next: Purple band at 15,000 — 3,458 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate42.2%41.3%41.8%meets
Shot accuracy10.6%12.7%12.2%1.6% short
Kill/death ratio0.870.950.980.11 short
Match win rate40.1%42.6%43.3%3.2% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArschschnitzelFACEITLevel 2 · 696 ELOSTANDINGTop 97.9% of rankedPREMIER11,542 · Blue bandPEAK ELO696csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim28
Positioning46
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY37–56–7Last 10037%Win rateWLWWLLWWLW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +1.5pp headshot accuracy · +13ms reaction

Win rate up 50pp 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 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 744ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 656ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 650ms

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 (+2.1 against its own average).

Aim2.8
Utility6.4
Positioning4.6
Opening Duels1.8
Clutch4.4

Effective flashes

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

ZywOo

Plays most like ZywOo 56% 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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 53% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 656ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim2.8
Positioning4.6
Utility6.4
Mechanics4.1
Opening Duels3.0
Win Impact0.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time639ms+5ms
first ⅓ avg 634ms → last ⅓ avg 639ms
Headshot accuracy13.5%−1.1%
first ⅓ avg 14.5% → last ⅓ avg 13.5%

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

0.11Best match rating · 13–4 · dust2, 5 Oct →
34%Best headshot accuracy · 8–13 · anubis, 5 Sept →
406msFastest reaction time · 11–13 · dust2, 16 Aug →
13–2Biggest win · dust2, 14 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 64% over 14ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D5919–4032%-0.02
nukeA149–564%-0.02
ancientD72–529%-0.02
infernoC73–443%0.01
anubisC52–340%-0.03
mirage—41–325%-0.04
cache—30–30%-0.07
vertigo—11–0100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,399Lifetime kills
0.87K/D
6,888Matches
40.1%Match win rate
42.2%Headshot % · Top 50% of Level 2 players
10.6%Shot accuracy
10,965MVPs
2,681Hours (in match)
7,951Bombs planted
1,202Bombs defused

Most-used weapons

AK-4723,218
AWP11,285
MP79,701
P902,684
SG 5532,258

Lifetime map wins

32,879dust2
7,012nuke
4,508inferno
2,726vertigo
1,332train
92office
67lake
36cbble

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

Faceit stats

Combat

99Matches
41%Win rate
0.83Avg K/D
66.8ADR
42%Headshot %

Clutches & streaks

42%1v1 clutch win
24%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke2259%0.8312.3
Inferno1942%0.7913.9
Ancient956%0.9815.6
Overpass933%0.9114.8
Dust2838%1.0314.6
Anubis617%0.7612.8
Mirage450%0.8413.5
Cache250%1.0318.0

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.

14.2%Headshot accuracy
29.6%Accuracy (enemy spotted)
30.3%Spray accuracy
68.5%Counter-strafing
12.7°Preaim
656msReaction time
53.3%T opening success
30.7%CT opening success
0.85Enemies flashed / flash
8.3%Flash assists
6.67HE damage / grenade
11.18Flashes / 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 12.6571° — 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 14.1717% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0125%10 Oct →
dust210–13-0.0112%8 Oct →
dust213–3-0.025%7 Oct →
dust213–40.1112%5 Oct →
cache7–13-0.0211%5 Oct →
dust210–13-0.0710%5 Oct →
dust213–90.0318%2 Oct →
dust213–11-0.028%1 Oct →
dust26–13-0.079%1 Oct →
dust213–60.0420%30 Sept →
dust25–13-0.046%28 Sept →
mirage10–13-0.0517%28 Sept →
dust213–11-0.0413%27 Sept →
dust28–130.0215%27 Sept →
dust26–13-0.0111%27 Sept →
mirage9–13-0.0117%23 Sept →
dust212–120.0113%23 Sept →
dust20–4-0.070%23 Sept →
dust28–13-0.0311%21 Sept →
ancient5–13-0.0310%19 Sept →
dust216–13-0.0618%19 Sept →
dust29–13-0.0221%19 Sept →
dust26–13-0.0512%16 Sept →
dust28–13-0.0412%16 Sept →
dust210–130.0212%16 Sept →
dust25–130.0425%15 Sept →
dust213–2-0.0210%14 Sept →
anubis6–13-0.088%11 Sept →
nuke13–8-0.0725%11 Sept →
dust27–13-0.0719%11 Sept →
inferno13–11-0.0016%11 Sept →
vertigo6–20.077%11 Sept →
anubis9–13-0.0314%11 Sept →
dust24–13-0.1111%11 Sept →
dust213–20.0017%11 Sept →
dust28–13-0.014%10 Sept →
dust26–13-0.0511%9 Sept →
dust210–13-0.026%9 Sept →
dust213–60.0815%8 Sept →
anubis13–110.069%8 Sept →
nuke13–40.0518%7 Sept →
nuke13–10-0.0425%7 Sept →
nuke13–80.0416%7 Sept →
dust25–13-0.0615%6 Sept →
anubis8–13-0.0434%5 Sept →
nuke5–13-0.0519%5 Sept →
dust213–11-0.0216%5 Sept →
dust212–120.0215%5 Sept →
dust213–100.0518%5 Sept →
dust27–13-0.048%5 Sept →
dust213–11-0.0215%4 Sept →
dust28–13-0.0325%4 Sept →
nuke9–13-0.0312%3 Sept →
dust213–11-0.0215%3 Sept →
dust28–13-0.0216%2 Sept →
ancient13–160.0120%1 Sept →
nuke13–10-0.0512%1 Sept →
mirage13–70.0225%1 Sept →
dust210–130.0819%1 Sept →
inferno7–13-0.0518%1 Sept →
dust212–120.0422%1 Sept →
dust212–12-0.0024%1 Sept →
dust211–13-0.0219%31 Aug →
dust212–12-0.0420%29 Aug →
dust212–12-0.0823%26 Aug →
cache6–13-0.1216%26 Aug →
cache4–13-0.0826%25 Aug →
nuke13–4-0.0110%25 Aug →
inferno9–13-0.0219%25 Aug →
nuke4–13-0.087%25 Aug →
nuke13–7-0.0525%24 Aug →
dust25–13-0.0524%23 Aug →
dust26–3-0.0216%23 Aug →
nuke8–13-0.0523%22 Aug →
anubis13–9-0.0816%22 Aug →
inferno14–16-0.0413%22 Aug →
mirage3–13-0.110%22 Aug →
ancient13–11-0.0311%22 Aug →
nuke13–9-0.0115%22 Aug →
dust213–100.0330%20 Aug →
dust29–13-0.0311%20 Aug →
dust213–70.0020%19 Aug →
dust211–13-0.0118%16 Aug →
dust212–12-0.0115%16 Aug →
dust27–130.016%13 Aug →
ancient17–19-0.047%12 Aug →
dust24–13-0.1018%12 Aug →
ancient6–130.0712%11 Aug →
dust27–13-0.0214%11 Aug →
ancient13–2-0.0717%11 Aug →
inferno13–70.108%9 Aug →
dust28–130.0122%8 Aug →
ancient9–13-0.0317%6 Aug →
dust27–13-0.0218%6 Aug →
dust213–11-0.0611%3 Aug →
dust20–13-0.0214%3 Aug →
inferno10–130.018%3 Aug →
nuke10–13-0.0114%30 Jul →
inferno13–70.0711%30 Jul →
nuke13–80.0110%30 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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