Kleinerwaldkauz

Kleinerwaldkauz — CS2 Stats

CH76561198966190713[U:1:1005924985]Steam profile ↗✓ No bans

1,187Tracked matches52%Win rate2020Tracked since
CSDB Rating7.2 StrongAll-Rounder
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,187
−3.4ppWin rate · 55.2% → 51.7%

Rating over time

Premier CS Rating: 27,145 -90 17 Jan – 3 Jul · 22 days played
23,36127,789peak 27,78917 Jan3 Jul
27,789Peak Premier in tracked matches
35Days played since 2026-01-17

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

Performance scores

Aim92
Positioning62
Utility66

0–100 skill scores via Leetify.

Recent form

COLD57–38–5Last 10057%Win rateLWLLWLLLLW

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · −1.6pp headshot accuracy · −16ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 26%
  • Avg reaction 545ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 573ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 582ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim9.2
Utility6.6
Positioning6.2
Opening Duels5.8

Sharp aimer

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 54% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 575ms 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

Aim9.2
Positioning6.2
Utility6.6
Mechanics8.4
Opening Duels4.1
Win Impact5.6

Composite 7.2/10 (Strong), 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 rating0.06−0.00
first ⅓ avg 0.07 → last ⅓ avg 0.06
Reaction time572ms−33ms
first ⅓ avg 605ms → last ⅓ avg 572ms
Headshot accuracy23.9%+0.9%
first ⅓ avg 23.0% → last ⅓ avg 23.9%

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

0.22Best match rating · 13–8 · anubis, 4 Feb →
40%Best headshot accuracy · 13–3 · cache, 22 May →
438msFastest reaction time · 13–5 · cache, 27 Jun →
13–2Biggest win · ancient, 23 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 73% over 15mirageWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B179–853%0.03
ancientB168–850%0.04
cacheS1511–473%0.08
nukeS1410–471%0.06
anubisB137–654%0.09
infernoB136–746%0.05
mirageB115–645%0.08
overpass—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

24.1%Headshot accuracy
41.3%Accuracy (enemy spotted)
39.9%Spray accuracy
87.9%Counter-strafing
7.9°Preaim
575msReaction time
38.7%T opening success
54.1%CT opening success
0.60Enemies flashed / flash
9.8%Flash assists
13.76HE damage / grenade
9.33Flashes / 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

    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 38.7055% — below the 40% mark we flag

Spend your practice time on Mirage

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–130.0439%17 Oct →
anubis13–50.1725%3 Oct →
nuke8–130.0521%3 Oct →
dust210–130.0622%1 Sept →
ancient13–100.1324%1 Sept →
cache7–130.0028%14 Aug →
anubis10–13-0.0021%14 Aug →
dust20–5-0.080%28 Jul →
dust25–130.0228%25 Jul →
cache13–80.1119%25 Jul →
ancient14–160.0524%24 Jul →
mirage13–80.1226%24 Jul →
cache13–80.0730%24 Jul →
dust213–9-0.0121%24 Jul →
inferno11–13-0.0331%24 Jul →
ancient13–11-0.0529%24 Jul →
nuke13–60.0928%24 Jul →
dust213–80.0520%3 Jul →
inferno13–70.0414%3 Jul →
cache13–100.1420%3 Jul →
cache7–130.0228%29 Jun →
ancient8–130.0220%29 Jun →
cache13–100.0620%27 Jun →
cache13–50.0626%27 Jun →
cache13–30.1821%27 Jun →
anubis9–130.0819%27 Jun →
dust25–130.0929%27 Jun →
cache12–120.1127%27 Jun →
cache2–130.0833%29 May →
cache13–100.0619%29 May →
dust26–130.0429%29 May →
anubis13–80.1212%29 May →
mirage13–40.1735%29 May →
cache13–110.1622%29 May →
ancient6–13-0.0118%22 May →
cache13–6-0.0238%22 May →
nuke13–50.1731%22 May →
cache13–30.1040%22 May →
dust29–130.0519%22 May →
cache13–30.057%22 May →
ancient13–80.0532%31 Mar →
ancient5–13-0.0324%28 Mar →
nuke13–60.0118%27 Mar →
anubis11–130.0728%26 Mar →
inferno6–130.1123%26 Mar →
dust213–100.0413%26 Mar →
ancient13–70.0517%21 Mar →
nuke13–60.0422%21 Mar →
ancient2–13-0.0110%13 Mar →
mirage11–130.1124%13 Mar →
inferno8–130.0321%13 Mar →
anubis2–13-0.0320%13 Mar →
nuke13–80.0638%1 Mar →
mirage10–130.0318%1 Mar →
dust216–130.1025%28 Feb →
ancient13–11-0.0616%26 Feb →
dust213–90.0519%26 Feb →
mirage9–130.0817%25 Feb →
ancient13–40.0825%25 Feb →
inferno13–90.0720%25 Feb →
nuke13–100.1213%25 Feb →
inferno11–13-0.0320%23 Feb →
ancient15–15-0.0226%23 Feb →
inferno13–40.1524%17 Feb →
anubis13–60.0817%17 Feb →
nuke9–13-0.0021%17 Feb →
nuke13–110.0119%14 Feb →
mirage9–130.0126%13 Feb →
nuke9–130.0120%13 Feb →
dust213–90.0723%11 Feb →
anubis13–70.2034%11 Feb →
nuke13–8-0.0127%10 Feb →
anubis13–80.1032%10 Feb →
mirage13–11-0.0231%10 Feb →
inferno6–13-0.0222%8 Feb →
mirage13–80.1330%8 Feb →
dust213–7-0.0324%7 Feb →
ancient15–150.0720%5 Feb →
mirage7–130.0616%5 Feb →
inferno9–130.0923%5 Feb →
anubis13–30.0717%5 Feb →
dust216–140.0825%5 Feb →
nuke13–110.1028%4 Feb →
anubis13–80.2224%4 Feb →
inferno13–90.0626%4 Feb →
dust25–13-0.0324%4 Feb →
overpass16–140.0724%31 Jan →
nuke13–60.1423%31 Jan →
anubis13–160.0120%31 Jan →
inferno7–130.0417%31 Jan →
dust210–130.0618%23 Jan →
inferno13–80.1111%23 Jan →
anubis14–160.0410%23 Jan →
mirage13–70.1224%23 Jan →
ancient13–20.1714%23 Jan →
dust213–100.0134%17 Jan →
mirage15–150.0527%17 Jan →
inferno13–40.0818%17 Jan →
ancient13–50.1126%17 Jan →
nuke15–150.0418%17 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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