Weißwein

Weißwein — CS2 Stats

DE76561199032227646[U:1:1071961918]Steam profile ↗✓ No bans

3,903Tracked matches48%Win rate2023Tracked since
CSDB Rating4.4 Developing
Premier CS Rating12,843Blue band · top ~39.8% of ranked players (population est.)
CSDB Leaderboard#33802 of 50761 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGWeißweinPREMIER12,843 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning40
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51436Last 10051%Win rateWWLWLLWWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim5.1
Aggression5.7
Utility6.4
Positioning4.0
Opening Duels2.3

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 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim5.1
Positioning4.0
Utility6.4
Mechanics4.7
Opening Duels2.3
Win Impact4.4

Composite 4.4/10 (Developing), 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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time577ms−45ms
first ⅓ avg 622ms → last ⅓ avg 577ms
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

0.12Best rating — nuke 13–7
130Biggest win — nuke
7Longest win streak
W2Current streak
95In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 80% over 5trainWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB27131448%0.01
ancientB158753%0.01
mirageB136746%-0.01
trainD124833%-0.01
dust2C94544%-0.00
infernoS86275%-0.01
anubisS64267%-0.03
overpassS54180%0.03
cacheC52340%-0.03

Across the last 100 tracked matches.

Skill profile

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

12.9%Headshot accuracy
32.4%Accuracy (enemy spotted)
37.0%Spray accuracy
70.9%Counter-strafing
10.9°Preaim
569msReaction time
30.1%T opening success
48.1%CT opening success
0.74Enemies flashed / flash
6.1%Flash assists
9.13HE damage / grenade
13.50Flashes / 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. 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 12.9093% — below the 15% mark we flag

    Aim Training
  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 30.0586% — below the 40% mark we flag

Spend your practice time on Train

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
overpass13–10.0425%30 Aug
nuke13–70.0312%30 Aug
train8–13-0.040%30 Aug
nuke13–00.0920%30 Aug
mirage5–13-0.0411%30 Aug
ancient4–11-0.0111%30 Aug
nuke13–7-0.0212%30 Aug
train13–50.0821%29 Aug
nuke13–100.0518%29 Aug
mirage6–13-0.0416%29 Aug
ancient4–13-0.0317%29 Aug
train13–110.0811%29 Aug
ancient12–120.0516%29 Aug
nuke4–13-0.0518%29 Aug
mirage12–16-0.0115%29 Aug
ancient13–70.0812%29 Aug
train13–11-0.039%28 Aug
nuke9–13-0.0512%28 Aug
mirage8–13-0.0215%28 Aug
mirage6–13-0.0214%28 Aug
dust27–13-0.0011%28 Aug
dust23–0-0.010%28 Aug
nuke13–100.0511%28 Aug
anubis3–13-0.0813%28 Aug
train6–13-0.0112%28 Aug
anubis13–9-0.0710%28 Aug
mirage13–50.0110%28 Aug
dust23–13-0.059%28 Aug
ancient4–130.0312%28 Aug
mirage13–7-0.039%28 Aug
inferno13–30.0517%27 Aug
nuke11–130.0111%27 Aug
mirage13–7-0.0118%27 Aug
dust26–130.1019%27 Aug
mirage13–8-0.0011%27 Aug
train13–90.0314%27 Aug
nuke8–130.038%27 Aug
inferno13–11-0.0423%27 Aug
anubis13–3-0.068%27 Aug
ancient13–100.0013%27 Aug
cache3–13-0.0413%27 Aug
anubis10–130.0114%27 Aug
nuke13–11-0.0214%27 Aug
dust211–13-0.0324%27 Aug
ancient9–13-0.0219%27 Aug
nuke12–120.1114%27 Aug
inferno13–10-0.039%27 Aug
nuke7–10.0814%27 Aug
dust213–80.1118%27 Aug
ancient8–130.0313%27 Aug
nuke6–13-0.0019%27 Aug
cache8–13-0.0111%26 Aug
ancient13–11-0.0115%26 Aug
anubis13–8-0.0117%26 Aug
cache13–60.0213%26 Aug
inferno13–110.1014%26 Aug
nuke13–80.0418%26 Aug
mirage13–5-0.035%26 Aug
ancient13–40.0416%26 Aug
nuke11–13-0.0510%26 Aug
inferno8–13-0.0115%26 Aug
dust213–11-0.0517%26 Aug
mirage13–50.0412%26 Aug
mirage9–13-0.0112%26 Aug
nuke13–70.1222%26 Aug
nuke13–40.0921%26 Aug
inferno13–110.0220%26 Aug
nuke3–100.0819%26 Aug
overpass1–13-0.0814%26 Aug
inferno11–13-0.0810%24 Aug
ancient13–7-0.0213%24 Aug
ancient13–50.039%23 Aug
anubis16–130.0114%23 Aug
ancient13–30.0312%23 Aug
nuke13–5-0.0110%23 Aug
train6–13-0.019%23 Aug
inferno13–5-0.088%23 Aug
ancient13–00.016%23 Aug
train2–13-0.1012%23 Aug
nuke9–13-0.1214%22 Aug
nuke9–13-0.0719%22 Aug
dust213–16-0.0411%22 Aug
mirage15–15-0.0011%22 Aug
cache7–13-0.0714%22 Aug
nuke4–13-0.098%22 Aug
dust216–13-0.0622%22 Aug
ancient9–130.0020%22 Aug
nuke11–13-0.0216%22 Aug
nuke6–130.0117%22 Aug
nuke13–9-0.0024%22 Aug
train12–12-0.058%29 Jun
overpass13–30.0913%29 Jun
train12–120.0219%28 Jun
nuke8–13-0.090%28 Jun
overpass13–20.0714%28 Jun
cache13–8-0.0332%28 Jun
nuke13–80.0524%28 Jun
train3–13-0.0617%28 Jun
overpass13–11-0.0025%28 Jun
train12–120.0028%28 Jun

Match data via Leetify.

Milestones

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