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Günther Jauch — CS2 Stats

76561199485070339[U:1:1524804611]✓ No bans

189Tracked matches40%Win rate2023Tracked since
CSDB Rating2.8 Learning
WingmanSilver Elite
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim18
Positioning27
Utility61

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLLWLLLLLWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim1.8
Aggression2.2
Utility6.1
Positioning2.7
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 691ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim1.8
Positioning2.7
Utility6.1
Mechanics4.0
Opening Duels0.0
Win Impact1.7

Composite 2.8/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time706ms+96ms
first ⅓ avg 610ms → last ⅓ avg 706ms
Headshot accuracy13.0%−1.9%
first ⅓ avg 14.9% → last ⅓ avg 13.0%

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.

Highlights

0.27Best rating — train 13–0
13–0Biggest win — train
5Longest win streak
L2Current streak
4–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 47% over 19infernoWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
infernoD227–1532%-0.03
mirageB199–1047%-0.02
ancientC167–944%-0.02
dust2B136–746%0.01
vertigoC104–640%-0.02
nukeC52–340%-0.02
trainC52–340%0.04
anubis—41–325%-0.01
basalt—21–150%0.01
cache—10–10%-0.05
rooftop—10–10%-0.04
overpass—10–10%-0.04
edin—11–0100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno 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.

13.9%Headshot accuracy
23.7%Accuracy (enemy spotted)
28.6%Spray accuracy
67.9%Counter-strafing
12.1°Preaim
691msReaction time
22.3%T opening success
28.9%CT opening success
0.65Enemies flashed / flash
5.1%Flash assists
10.73HE damage / grenade
15.79Flashes / 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 12.1282° — 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 13.8765% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0215%18 Jul →
cache7–13-0.0516%18 Jul →
ancient13–10-0.0112%18 Jul →
inferno3–13-0.130%31 Oct →
ancient8–13-0.1012%30 Oct →
mirage1–13-0.0719%29 Oct →
nuke6–9-0.017%28 Oct →
nuke3–9-0.0227%26 Oct →
nuke9–6-0.0017%24 Oct →
inferno9–7-0.0316%24 Oct →
inferno4–9-0.124%24 Oct →
inferno9–20.1512%24 Oct →
inferno9–60.1521%23 Oct →
rooftop4–9-0.044%23 Oct →
inferno7–90.0612%23 Oct →
inferno2–9-0.135%23 Oct →
inferno1–9-0.120%23 Oct →
inferno8–8-0.134%23 Oct →
inferno8–8-0.0016%23 Oct →
dust213–8-0.070%23 Oct →
mirage1–13-0.0720%22 Oct →
inferno3–9-0.0424%22 Oct →
dust26–13-0.1020%22 Oct →
overpass0–13-0.0418%22 Oct →
inferno13–6-0.0820%22 Oct →
dust211–13-0.0723%6 Apr →
mirage13–80.0118%23 Mar →
train6–13-0.0815%8 Mar →
ancient14–16-0.057%2 Mar →
train4–130.0520%8 Feb →
ancient13–10-0.067%26 Jan →
dust213–90.1112%24 Jan →
dust213–40.0712%24 Jan →
vertigo5–130.0414%5 Jan →
dust27–130.0117%4 Jan →
nuke5–13-0.0711%24 Dec →
dust213–7-0.0118%24 Dec →
train13–4-0.0316%21 Dec →
vertigo5–13-0.0111%21 Dec →
nuke13–4-0.0110%21 Dec →
mirage13–80.0216%21 Dec →
dust26–130.0721%20 Dec →
dust213–90.0519%20 Dec →
ancient10–13-0.037%17 Dec →
mirage13–11-0.019%15 Dec →
vertigo13–4-0.0915%30 Nov →
mirage4–13-0.0113%30 Nov →
mirage9–130.0425%29 Nov →
edin13–50.1319%17 Nov →
dust27–13-0.0417%17 Nov →
dust215–15-0.0113%17 Nov →
ancient9–4-0.0213%17 Nov →
mirage13–7-0.0318%16 Nov →
basalt9–13-0.0020%15 Nov →
train13–00.2711%15 Nov →
train2–130.0118%15 Nov →
mirage7–13-0.0918%15 Nov →
mirage13–11-0.0116%15 Nov →
basalt13–80.039%14 Nov →
inferno15–15-0.0512%7 Nov →
mirage11–13-0.0913%7 Nov →
anubis11–130.0310%1 Nov →
inferno13–60.0116%1 Nov →
ancient7–13-0.0413%29 Oct →
vertigo6–13-0.078%25 Oct →
anubis13–16-0.0216%24 Oct →
inferno5–13-0.0912%22 Oct →
mirage15–15-0.0613%21 Oct →
vertigo11–20.0332%20 Oct →
ancient13–60.0323%20 Oct →
mirage13–2-0.0014%20 Oct →
mirage16–13-0.077%20 Oct →
vertigo13–100.0015%17 Oct →
ancient10–130.0519%15 Oct →
ancient10–13-0.0512%14 Oct →
inferno13–11-0.0211%14 Oct →
dust213–70.1613%11 Oct →
vertigo9–130.007%11 Oct →
ancient10–13-0.0726%4 Oct →
mirage13–70.1020%4 Oct →
inferno10–13-0.0213%4 Oct →
anubis13–7-0.048%4 Oct →
vertigo9–13-0.0515%3 Oct →
inferno10–13-0.036%3 Oct →
mirage6–13-0.0013%27 Sept →
vertigo9–13-0.0517%24 Sept →
vertigo13–70.0113%22 Sept →
ancient13–60.0910%22 Sept →
mirage6–13-0.0320%21 Sept →
ancient13–8-0.0511%21 Sept →
ancient11–13-0.009%20 Sept →
inferno10–13-0.0213%15 Sept →
ancient13–90.1125%12 Sept →
anubis10–130.0015%10 Sept →
inferno12–16-0.0317%7 Sept →
ancient6–13-0.0810%7 Sept →
inferno13–5-0.038%6 Sept →
mirage16–12-0.0215%3 Sept →
inferno7–13-0.0813%1 Sept →
dust24–13-0.1027%1 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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