~Fürst von Bretterdicht~

~Fürst von Bretterdicht~ — CS2 Stats

76561198001055302[U:1:40789574]Steam profile ↗✓ No bans

624Tracked matches41%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GG~Fürst von Bretterdicht~FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning70
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY46–45–9Last 10046%Win rateWWWLLWTLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.2pp headshot accuracy · +7ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 667ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 646ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 643ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim7.5
Utility7.0
Positioning7.0
Opening Duels4.9
Clutch0.0

Strong T-side openerEffective flashes

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

jL

Plays most like jL 84% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 641ms 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

Aim7.5
Positioning7.0
Utility7.0
Mechanics6.7
Opening Duels4.3
Win Impact1.9

Composite 6.3/10 (Solid), 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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time642ms−92ms
first ⅓ avg 734ms → last ⅓ avg 642ms
Headshot accuracy24.9%+3.6%
first ⅓ avg 21.4% → last ⅓ avg 24.9%

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

0.14Best match rating · 13–8 · dust2, 9 Sept →
47%Best headshot accuracy · 6–13 · inferno, 13 Aug →
453msFastest reaction time · 4–13 · inferno, 15 Aug →
13–1Biggest win · inferno, 16 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
6–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 73% over 11dust2Weakest map · 38% over 40
MapGradePlayedRecordWin rateAvg rating
dust2C4015–2538%0.03
infernoC2610–1638%0.02
mirageA2112–957%0.02
cacheS118–373%0.05
train—10–10%0.01
nuke—11–0100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 40). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

104Matches
50%Win rate
1.09Avg K/D
75.5ADR
48%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno367%0.7911.0
Mirage333%1.1616.3
Dust2250%0.6910.0
Nuke1100%0.5811.0

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.

24.6%Headshot accuracy
34.9%Accuracy (enemy spotted)
37.5%Spray accuracy
80.0%Counter-strafing
9.4°Preaim
641msReaction time
55.3%T opening success
39.0%CT opening success
0.70Enemies flashed / flash
15.0%Flash assists
18.07HE damage / grenade
9.09Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.9809% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 40 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.1218%12 Sept →
dust213–80.1422%9 Sept →
dust213–8-0.0121%8 Sept →
dust28–130.0220%7 Sept →
dust27–130.0339%5 Sept →
dust213–30.0226%26 Aug →
mirage12–12-0.0120%26 Aug →
inferno6–130.0025%24 Aug →
inferno10–130.0221%24 Aug →
inferno7–130.0316%23 Aug →
dust212–120.0921%22 Aug →
dust213–70.0517%22 Aug →
mirage10–130.0242%22 Aug →
dust213–50.0828%22 Aug →
inferno5–130.0326%22 Aug →
dust210–130.0121%22 Aug →
inferno12–120.0527%21 Aug →
dust213–70.0923%19 Aug →
cache9–13-0.0330%19 Aug →
mirage8–30.1116%19 Aug →
inferno13–9-0.0217%18 Aug →
dust210–130.0220%18 Aug →
inferno13–110.0322%17 Aug →
cache4–13-0.0442%17 Aug →
dust29–13-0.0224%17 Aug →
cache13–60.0737%17 Aug →
mirage10–13-0.0126%17 Aug →
mirage7–13-0.0118%16 Aug →
inferno2–13-0.0528%16 Aug →
dust26–13-0.0431%16 Aug →
cache13–20.0922%16 Aug →
inferno13–10.0837%16 Aug →
dust26–130.0121%16 Aug →
dust27–30.0615%16 Aug →
inferno13–70.0424%15 Aug →
inferno4–13-0.0533%15 Aug →
dust212–160.0621%15 Aug →
mirage11–13-0.0229%15 Aug →
mirage10–130.027%14 Aug →
cache13–70.0637%14 Aug →
dust26–130.0516%14 Aug →
inferno2–13-0.0429%13 Aug →
dust24–13-0.0127%13 Aug →
inferno6–130.0047%13 Aug →
mirage13–30.0622%13 Aug →
inferno13–90.0816%12 Aug →
dust213–110.0619%12 Aug →
mirage13–40.0334%12 Aug →
cache13–110.0823%12 Aug →
mirage13–6-0.0120%11 Aug →
dust210–130.0210%11 Aug →
dust212–120.0415%11 Aug →
cache12–120.0614%10 Aug →
inferno7–13-0.0333%10 Aug →
mirage13–90.0219%10 Aug →
dust24–13-0.0735%10 Aug →
inferno7–13-0.0221%10 Aug →
cache13–100.0322%9 Aug →
dust24–130.0123%9 Aug →
mirage13–90.0824%9 Aug →
inferno13–110.0616%9 Aug →
dust26–13-0.0414%9 Aug →
cache13–20.0824%9 Aug →
dust213–110.0526%8 Aug →
train1–130.0121%8 Aug →
inferno13–60.0711%8 Aug →
mirage13–9-0.0120%8 Aug →
dust210–13-0.0117%8 Aug →
dust213–70.1323%8 Aug →
inferno11–130.0621%8 Aug →
mirage13–8-0.0415%8 Aug →
cache13–90.0838%7 Aug →
inferno10–13-0.0229%7 Aug →
dust25–130.0038%7 Aug →
mirage13–100.0027%7 Aug →
inferno3–13-0.0628%7 Aug →
mirage10–130.1129%7 Aug →
dust212–12-0.0122%6 Aug →
dust213–100.0114%6 Aug →
mirage13–50.1020%6 Aug →
dust27–130.0525%6 Aug →
inferno12–120.0115%6 Aug →
mirage12–120.0425%5 Aug →
dust212–12-0.0125%5 Aug →
dust211–130.0117%5 Aug →
mirage13–9-0.0129%5 Aug →
dust213–90.0219%4 Aug →
mirage13–60.0815%4 Aug →
inferno7–130.1016%3 Aug →
mirage9–13-0.0810%2 Aug →
cache13–40.0724%2 Aug →
inferno13–60.0223%2 Aug →
nuke6–10.1015%2 Aug →
dust27–130.0218%1 Aug →
dust27–130.0411%1 Aug →
dust213–30.1311%31 Jul →
inferno13–80.0627%31 Jul →
dust211–8-0.0518%31 Jul →
dust210–130.0220%30 Jul →
inferno13–110.0218%30 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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