Ludwig Hoffmaier — CS2 Stats

76561198242273564[U:1:282007836]

3,318Tracked matches46%Win rate2020Tracked since
5,563Hours in CS20Hrs last 2 wks
CSDB Rating4.3 Developing
Premier CS Rating18,867Purple band · top ~13% of ranked players (population est.)
CSDB Leaderboard#10471 of 21258 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate33.5%48.1%14.6% short
Shot accuracy11.1%12.9%1.8% short
Kill/death ratio0.951.080.13 short
Match win rate48.2%46.5%above

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

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

Share this profile

CSDB.GGLudwig HoffmaierPREMIER18,867 · Purple bandcsdb.gg/stats

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Performance scores

Aim39
Positioning51
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateLLWWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim3.9
Aggression5.6
Utility6.9
Positioning5.1
Opening Duels1.3
Clutch3.8

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 83% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.9
Positioning5.1
Utility6.9
Mechanics3.6
Opening Duels1.3
Win Impact3.8

Composite 4.3/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time600ms−72ms
first ⅓ avg 672ms → last ⅓ avg 600ms
Headshot accuracy14.1%−1.7%
first ⅓ avg 15.8% → last ⅓ avg 14.1%

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

0.15Best rating — mirage 13–2
130Biggest win — inferno
8Longest win streak
L2Current streak
64In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 52% over 21cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB34171750%-0.01
ancientB21111052%-0.00
mirageD124833%-0.01
cacheD103730%-0.03
dust2B105550%-0.02
nukeB63350%-0.03
anubis42250%0.00
vertigo2020%0.02
overpass1010%-0.08

Across the last 100 tracked matches.

Lifetime stats

97,684Lifetime kills
0.95K/D
6,003Matches
48.2%Match win rate · Top 50% of tracked players
33.5%Headshot %
11.1%Shot accuracy
12,795MVPs
2,615Hours (in match)
5,002Bombs planted
1,678Bombs defused

Most-used weapons

AK-4719,790
AWP11,197
MAC-103,848
MP93,588
FAMAS2,307

Lifetime map wins

24,266inferno
6,015office
4,827dust2
3,859vertigo
2,905nuke
905train
516cbble
77italy

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

Faceit stats

Combat

117Matches
55%Win rate
1.04Avg K/D
71.4ADR
35%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1191%1.0414.7
Ancient956%1.1917.2
Dust2617%0.8211.8
Mirage633%0.7811.8
Anubis540%0.7410.6
Nuke367%0.8515.3
Train3100%0.9210.7
Vertigo2100%0.9120.5

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.

14.0%Headshot accuracy
30.1%Accuracy (enemy spotted)
31.5%Spray accuracy
66.2%Counter-strafing
10.5°Preaim
597msReaction time
30.3%T opening success
40.3%CT opening success
0.41Enemies flashed / flash
5.7%Flash assists
14.47HE damage / grenade
8.78Flashes / 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 14.0009% — below the 15% 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 0.409 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 30.2567% — below the 40% mark we flag

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno3–130.0012%26 Aug
cache5–13-0.0418%26 Aug
inferno13–50.0717%26 Aug
inferno13–110.0214%25 Aug
ancient13–6-0.0213%25 Aug
cache9–130.0214%25 Aug
inferno13–50.0218%25 Aug
inferno13–90.0917%25 Aug
cache7–13-0.058%23 Aug
ancient13–5-0.016%23 Aug
mirage6–130.0020%23 Aug
inferno13–8-0.014%23 Aug
dust21–130.0114%22 Aug
inferno11–13-0.027%22 Aug
inferno15–15-0.0022%20 Aug
ancient10–13-0.0010%20 Aug
ancient13–10-0.018%19 Aug
cache13–10-0.0216%19 Aug
inferno5–13-0.084%19 Aug
mirage8–13-0.0213%18 Aug
cache16–12-0.0218%18 Aug
nuke13–7-0.0419%18 Aug
ancient14–16-0.0417%18 Aug
anubis6–13-0.0429%17 Aug
inferno13–00.0916%17 Aug
inferno13–70.0215%17 Aug
ancient7–130.0517%17 Aug
ancient15–150.0214%8 Aug
inferno12–16-0.0113%8 Aug
inferno10–13-0.028%6 Aug
anubis13–11-0.0521%6 Aug
ancient13–8-0.0118%6 Aug
inferno13–6-0.007%5 Aug
inferno13–110.0011%5 Aug
nuke16–120.0223%25 Jul
dust213–70.0421%25 Jul
dust213–2-0.0727%25 Jul
mirage13–9-0.0025%25 Jul
inferno8–13-0.0210%24 Jul
inferno13–40.0713%24 Jul
ancient16–130.0312%24 Jul
anubis13–40.0920%24 Jul
ancient13–30.059%24 Jul
mirage13–8-0.0213%23 Jul
ancient5–13-0.045%23 Jul
ancient16–14-0.0215%22 Jul
inferno10–13-0.0019%22 Jul
dust24–13-0.0228%21 Jul
inferno10–13-0.0219%21 Jul
nuke8–13-0.0812%16 Jul
inferno13–9-0.056%11 Jul
cache5–13-0.0625%7 Jul
inferno13–50.0221%7 Jul
mirage13–80.0116%7 Jul
ancient3–13-0.0416%6 Jul
cache13–6-0.0318%6 Jul
ancient9–13-0.044%6 Jul
inferno13–8-0.018%5 Jul
mirage10–13-0.0411%5 Jul
inferno7–13-0.0415%2 Jul
mirage4–13-0.0422%1 Jul
dust213–60.0417%24 Jun
ancient13–10-0.0121%24 Jun
overpass3–13-0.0817%24 Jun
nuke13–5-0.0415%24 Jun
dust26–13-0.0712%16 Jun
inferno13–100.0119%16 Jun
inferno13–9-0.0210%16 Jun
dust213–8-0.0123%15 Jun
ancient9–13-0.0213%15 Jun
nuke8–13-0.0113%15 Jun
mirage13–20.1520%13 Jun
inferno11–20.0315%10 Jun
mirage8–13-0.0818%9 Jun
ancient13–80.0717%9 Jun
ancient13–11-0.0418%9 Jun
nuke2–13-0.0412%7 Jun
inferno11–13-0.0215%7 Jun
cache12–120.0110%7 Jun
vertigo2–130.0114%6 Jun
inferno9–130.0010%6 Jun
ancient13–60.0820%2 Jun
anubis7–130.0130%2 Jun
inferno7–10-0.0319%1 Jun
mirage12–120.0716%30 May
vertigo2–100.0423%27 May
mirage4–13-0.1019%23 May
ancient2–130.006%21 May
cache9–13-0.0815%21 May
inferno5–13-0.0217%21 May
inferno12–16-0.0516%20 May
mirage10–13-0.0219%20 May
inferno11–13-0.0617%19 May
inferno9–13-0.0619%19 May
dust216–12-0.0511%14 May
dust24–13-0.088%14 May
ancient9–13-0.0718%13 May
dust210–130.0418%13 May
inferno13–11-0.0715%12 May
cache12–12-0.029%12 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 →