Leidenschaft für Scheidensaft

Leidenschaft für Scheidensaft — CS2 Stats

AT76561198367394589[U:1:407128861]Steam profile ↗✓ No bans

627Tracked matches32%Win rate2023Tracked since
1,067Hours in CS5Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
WingmanSilver IV
Ladder ranks via Leetify

Rating over time

5,110Peak Premier in tracked matches
23Days played since 2025-01-11

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

Performance scores

Aim63
Positioning37
Utility9

0–100 skill scores via Leetify.

Recent form

COLD40–52–8Last 10040%Win rateLLLLLLLWLL

Last 10 vs previous 10: −50pp win rate · −0.04 avg rating · +3.0pp headshot accuracy · +77ms reaction

Win rate down 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

  • 0–5 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 20%
  • Avg reaction 678ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 724ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 686ms

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 (+2.2 against its own average).

Aim6.3
Utility0.9
Positioning3.7
Opening Duels0.0

Strong CT-side openerLimited 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

sh1ro

Plays most like sh1ro 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 669ms 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

Aim6.3
Positioning3.7
Utility0.9
Mechanics7.2
Opening Duels1.8
Win Impact0.0

Composite 4.0/10 (Developing), 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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time677ms−14ms
first ⅓ avg 691ms → last ⅓ avg 677ms
Headshot accuracy18.0%+1.4%
first ⅓ avg 16.6% → last ⅓ avg 18.0%

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

0.18Best match rating · 8–8 · nuke, 1 Feb →
50%Best headshot accuracy · 1–9 · inferno, 15 Mar →
453msFastest reaction time · 9–5 · inferno, 16 Mar →
13–0Biggest win · anubis, 12 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L7Current streak
5–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 60% over 5nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB178–947%-0.03
dust2C145–936%-0.03
mirageD134–931%-0.03
nukeD113–827%-0.02
anubisC83–538%-0.02
cacheC73–443%-0.05
vertigoA53–260%-0.04
ancient—42–250%-0.04
overpass—42–250%-0.04
train—41–325%-0.06
italy—31–233%-0.03
basalt—32–167%-0.04
alpine—20–20%-0.04
office—21–150%-0.05
poseidon—11–0100%-0.01
palais—10–10%0.06
edin—11–0100%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,598Lifetime kills
1.13K/D · Top 50% of tracked players
1,870Matches
40.0%Match win rate
47.1%Headshot % · Top 50% of tracked players
16.0%Shot accuracy · Top 25% of tracked players
4,126MVPs
509Hours (in match)
1,444Bombs planted
295Bombs defused

Most-used weapons

Lifetime map wins

3,254dust2
1,123inferno
743nuke
723vertigo
360train
342cbble
153office
114lake

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

Skill profile

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

17.7%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.2%Spray accuracy
82.6%Counter-strafing
11.0°Preaim
669msReaction time
19.5%T opening success
44.2%CT opening success
0.05Enemies flashed / flash
0.0%Flash assists
7.00HE damage / grenade
0.43Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0455 — below the 0.5 mark we flag

    Grenade Lineups →
  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 19.5178% — below the 40% mark we flag

Spend your practice time on Nuke

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo6–13-0.0825%28 Oct →
dust28–13-0.0618%28 Oct →
mirage3–13-0.0917%28 Oct →
anubis0–13-0.0913%25 Oct →
ancient3–13-0.0327%25 Oct →
mirage3–13-0.0220%25 Oct →
dust210–130.0020%25 Oct →
dust213–9-0.0624%18 Oct →
mirage5–13-0.0314%18 Oct →
cache8–13-0.1115%18 Oct →
poseidon9–4-0.0130%18 Oct →
inferno4–9-0.2222%18 Oct →
nuke4–9-0.0514%18 Oct →
nuke13–7-0.0410%17 Oct →
mirage7–00.057%17 Oct →
mirage13–70.0029%17 Oct →
nuke11–130.0510%17 Oct →
anubis13–80.0620%17 Oct →
dust213–20.0413%17 Oct →
dust23–13-0.019%17 Oct →
dust24–13-0.0914%25 Jul →
inferno7–9-0.0128%8 Jun →
mirage12–120.0126%8 Jun →
nuke13–16-0.0421%8 Jun →
dust213–6-0.0519%8 Jun →
cache4–13-0.0113%8 Jun →
mirage1–13-0.1310%8 Jun →
alpine7–13-0.0519%30 May →
alpine3–13-0.0310%30 May →
vertigo13–9-0.0218%30 May →
ancient12–12-0.0425%30 May →
mirage13–70.0517%30 May →
cache4–13-0.0616%30 May →
anubis7–13-0.0613%30 May →
cache3–13-0.078%30 May →
anubis12–12-0.0517%29 May →
nuke13–5-0.0021%29 May →
inferno4–13-0.0545%28 May →
mirage10–13-0.0624%28 May →
inferno13–4-0.0133%28 May →
overpass6–13-0.0521%28 May →
cache13–1-0.0322%24 May →
cache13–8-0.059%24 May →
overpass13–6-0.0311%21 May →
anubis11–130.0118%21 May →
dust29–130.0117%21 May →
mirage6–13-0.049%21 May →
dust213–6-0.0415%21 May →
cache13–8-0.0516%20 May →
dust29–13-0.0416%20 May →
inferno13–60.0017%20 May →
italy4–13-0.0426%28 Mar →
office7–13-0.0724%28 Mar →
mirage7–13-0.0412%28 Mar →
mirage5–13-0.0815%28 Mar →
dust21–13-0.0128%28 Mar →
overpass12–12-0.0819%28 Mar →
inferno8–80.0418%28 Mar →
inferno4–9-0.1430%28 Mar →
vertigo9–60.0038%17 Mar →
nuke5–9-0.0924%17 Mar →
nuke7–9-0.0323%16 Mar →
nuke5–9-0.0617%16 Mar →
inferno9–50.0115%16 Mar →
inferno1–9-0.1823%16 Mar →
inferno1–9-0.1650%15 Mar →
inferno9–70.0212%15 Mar →
inferno9–60.0730%15 Mar →
nuke2–9-0.1318%15 Mar →
inferno9–30.0917%15 Mar →
nuke8–80.1815%1 Feb →
vertigo3–5-0.0233%18 Jan →
palais8–80.069%18 Jan →
italy11–13-0.0119%15 Jan →
train5–13-0.063%15 Jan →
train10–13-0.0228%14 Jan →
basalt13–70.0217%14 Jan →
anubis13–11-0.0111%13 Jan →
ancient13–11-0.035%13 Jan →
dust26–13-0.0716%12 Jan →
italy13–9-0.057%12 Jan →
anubis13–00.0318%12 Jan →
anubis3–13-0.0419%12 Jan →
edin13–5-0.009%12 Jan →
dust23–13-0.0222%12 Jan →
inferno6–9-0.117%12 Jan →
inferno9–20.1414%12 Jan →
dust213–8-0.0417%11 Jan →
mirage8–0-0.0233%11 Jan →
office13–11-0.0216%11 Jan →
basalt13–11-0.0318%11 Jan →
basalt12–12-0.126%11 Jan →
vertigo13–10-0.0819%11 Jan →
train13–3-0.0211%11 Jan →
train4–13-0.1415%11 Jan →
ancient13–9-0.0426%11 Jan →
nuke13–9-0.0125%11 Jan →
inferno10–4-0.0321%11 Jan →
inferno2–13-0.078%11 Jan →
overpass13–100.0116%11 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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