HatschiBu — CS2 Stats

76561198014210749[U:1:53945021]

1,404Tracked matches64%Win rate2021Tracked since
1,896Hours in CS19Hrs last 2 wks
CSDB Rating4.6 Developing
Premier CS Rating3,612Grey band · top ~84.7% of ranked players (population est.)
CSDB Leaderboard#32196 of 41471 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate35.1%37.5%39.7%4.6% short
Shot accuracy7.9%4.5%6.7%above
Kill/death ratio0.810.820.910.10 short
Match win rate37.2%39.1%42.1%5.0% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHatschiBuPREMIER3,612 · Grey bandcsdb.gg/stats

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Performance scores

Aim52
Positioning41
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY41545Last 10041%Win rateWWWWWLLWWL

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

Player DNA

Aim5.2
Aggression3.9
Utility4.6
Positioning4.1
Opening Duels0.0
Clutch2.2

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 75% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 42% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 677ms 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

Aim5.2
Positioning4.1
Utility4.6
Mechanics6.0
Opening Duels1.5
Win Impact9.8

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time681ms−120ms
first ⅓ avg 801ms → last ⅓ avg 681ms
Headshot accuracy15.9%−0.4%
first ⅓ avg 16.3% → last ⅓ avg 15.9%

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.

Highlights

0.14Best rating — dust2 7–13
133Biggest win — train
5Longest win streak
W5Current streak
86In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 56% over 9nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B24131154%0.00
infernoD1861233%-0.03
cacheD1651131%-0.05
anubisC114736%-0.02
ancientA95456%-0.03
nukeD92722%-0.00
mirageC73443%-0.02
train220100%-0.01
office21150%-0.06
eldorado1010%-0.22
overpass1010%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,135Lifetime kills
0.81K/D
3,146Matches
37.2%Match win rate
35.1%Headshot %
7.9%Shot accuracy · Top 50% of Grey band
3,537MVPs
1,068Hours (in match)
2,559Bombs planted
433Bombs defused

Most-used weapons

AK-477,895
AUG2,106
SG 5531,925
AWP1,901
MP71,573
MP91,342

Lifetime map wins

4,889inferno
3,145dust2
2,383nuke
1,266vertigo
628train
494office
97lake
94assault

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

Faceit stats

Combat

30Matches
40%Win rate
0.71Avg K/D
65.3ADR
45%Headshot %

Clutches & streaks

31%1v1 clutch win
27%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis633%0.6912.8
Mirage617%0.628.8
Dust2667%0.508.7
Inferno540%0.7713.8
Ancient450%0.7413.3
Cache1100%2.1119.0
Nuke10%0.538.0
Vertigo10%1.0016.0

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.

16.2%Headshot accuracy
35.0%Accuracy (enemy spotted)
40.7%Spray accuracy
76.8%Counter-strafing
12.2°Preaim
677msReaction time
15.9%T opening success
42.0%CT opening success
0.50Enemies flashed / flash
4.3%Flash assists
8.05HE damage / grenade
4.29Flashes / 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 12.2045° — above the 12° mark we flag

    Aim Training
  2. 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 0.4963 — below the 0.5 mark we flag

    Grenade Lineups
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.049%25 Aug
cache13–60.1216%25 Aug
ancient13–10-0.0314%25 Aug
mirage13–80.0217%25 Aug
nuke13–110.0216%24 Aug
inferno6–13-0.0010%24 Aug
inferno4–13-0.0515%22 Aug
dust213–9-0.0318%22 Aug
dust213–50.0910%22 Aug
mirage6–13-0.0515%21 Aug
ancient13–8-0.0216%21 Aug
inferno13–11-0.1015%20 Aug
dust213–9-0.0219%20 Aug
cache8–13-0.1112%20 Aug
inferno5–13-0.026%20 Aug
train13–30.0211%18 Aug
train13–9-0.0326%18 Aug
cache13–100.0324%18 Aug
inferno13–50.0123%18 Aug
dust213–50.0424%17 Aug
cache15–15-0.0211%17 Aug
anubis13–70.0014%17 Aug
ancient13–4-0.1020%16 Aug
inferno8–13-0.0111%16 Aug
dust28–130.0018%15 Aug
inferno6–13-0.0224%15 Aug
nuke10–13-0.0014%15 Aug
cache3–13-0.1425%6 Aug
ancient13–100.009%6 Aug
cache15–15-0.0425%6 Aug
dust211–13-0.107%5 Aug
cache13–10-0.0417%5 Aug
dust213–40.0813%29 Jul
dust213–11-0.0112%29 Jul
anubis11–13-0.0318%29 Jul
inferno13–60.0324%20 Jul
nuke5–13-0.087%20 Jul
cache1–13-0.0532%20 Jul
nuke6–130.0113%20 Jul
ancient13–70.0622%20 Jul
dust29–13-0.078%16 Jul
nuke13–110.0627%16 Jul
dust216–14-0.0329%15 Jul
anubis3–130.0016%15 Jul
eldorado1–9-0.22100%15 Jul
anubis13–11-0.0422%15 Jul
anubis16–140.0318%14 Jul
inferno13–70.0024%14 Jul
dust215–150.0521%14 Jul
dust213–80.0513%14 Jul
nuke9–13-0.079%12 Jul
anubis13–16-0.0511%12 Jul
inferno7–13-0.104%12 Jul
dust22–13-0.0510%12 Jul
office13–6-0.089%8 Jul
office12–12-0.046%8 Jul
cache13–7-0.0218%8 Jul
cache8–13-0.0626%8 Jul
anubis6–13-0.0216%7 Jul
cache4–13-0.0719%7 Jul
cache4–13-0.100%6 Jul
cache1–13-0.0431%6 Jul
cache1–13-0.0613%6 Jul
cache11–13-0.0515%6 Jul
anubis13–50.0031%5 Jul
mirage13–11-0.0712%3 Jul
inferno2–13-0.0524%3 Jul
inferno6–130.0418%3 Jul
dust20–5-0.0025%3 Jul
mirage13–100.0317%3 Jul
inferno16–13-0.0313%2 Jul
dust27–130.1414%2 Jul
inferno7–13-0.0520%1 Jul
dust213–7-0.058%1 Jul
cache13–10-0.0724%1 Jul
nuke15–150.0413%1 Jul
dust23–13-0.0410%1 Jul
ancient8–13-0.0414%1 Jul
dust213–16-0.0220%29 Jun
inferno9–130.0030%29 Jun
mirage5–13-0.0212%29 Jun
dust213–50.0711%29 Jun
mirage11–13-0.0120%27 Jun
inferno3–13-0.0626%27 Jun
dust213–90.0315%26 Jun
ancient6–130.0214%26 Jun
mirage5–13-0.0319%26 Jun
anubis9–13-0.0314%26 Jun
dust213–5-0.0515%26 Jun
dust27–130.019%15 Jun
ancient2–13-0.0728%15 Jun
inferno13–16-0.0418%15 Jun
dust216–130.0127%25 May
nuke5–13-0.0114%25 May
ancient1–13-0.124%25 May
anubis11–13-0.0911%22 May
overpass5–13-0.0416%22 May
dust26–13-0.0510%22 May
anubis11–13-0.0010%22 May
nuke9–13-0.0220%22 May

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 →