LeggaBierchen1887

LeggaBierchen1887 — CS2 Stats

DE76561199860920491[U:1:1900654763]Steam profile ↗✓ No bans

155Tracked matches75%Win rate2025Tracked since
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating16,754Purple band · top ~21.4% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2025 (381 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,754 +7,109 27 Jun – 16 Sept · 13 days played
9,64516,754peak 16,75427 Jun16 Sept
16,754Peak Premier in tracked matches
25Days played since 2025-06-24

Premier CS Rating

  • At peak — 16,754
  • +3,039 over 30 days · improving
  • +7,109 over 90 days
  • Next: Pink band at 20,000 — 3,246 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGLeggaBierchen1887PREMIER16,754 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning63
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY64–30–6Last 10064%Win rateWTWWLWWTWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +3.6pp headshot accuracy · −23ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 26%
  • Avg reaction 533ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 25%
  • Avg reaction 588ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 600ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility5.7
Positioning6.3
Opening Duels6.3

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

m0NESY

Plays most like m0NESY 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 593ms 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

Aim7.2
Positioning6.3
Utility5.7
Mechanics7.1
Opening Duels5.5
Win Impact10.0

Composite 6.9/10 (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 rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time598ms+38ms
first ⅓ avg 560ms → last ⅓ avg 598ms
Headshot accuracy21.1%+1.4%
first ⅓ avg 19.6% → last ⅓ avg 21.1%

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.

Personal bests

0.21Best match rating · 9–1 · rooftop, 9 Oct →
61%Best headshot accuracy · 9–6 · inferno, 24 Jun →
359msFastest reaction time · 1–13 · anubis, 27 Jun →
13–0Biggest win · dust2, 11 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
7–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 79% over 14ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2S1812–667%0.04
infernoS1411–379%0.06
ancientD134–931%0.04
overpassA117–464%0.04
nukeA117–464%0.03
trainS107–370%0.04
mirageA85–363%0.03
anubisS64–267%0.04
vertigo—43–175%0.07
rooftop—21–150%0.15
agency—11–0100%0.04
brewery—11–0100%-0.06
dogtown—11–0100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient 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.

20.0%Headshot accuracy
34.1%Accuracy (enemy spotted)
34.8%Spray accuracy
82.1%Counter-strafing
9.6°Preaim
593msReaction time
48.8%T opening success
54.9%CT opening success
0.56Enemies flashed / flash
5.3%Flash assists
11.57HE damage / grenade
8.29Flashes / match

Recommended for you

Spend your practice time on Ancient

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–00.0624%11 Oct →
ancient12–12-0.0117%11 Oct →
mirage13–80.0132%9 Oct →
rooftop9–10.2130%9 Oct →
overpass7–130.1029%9 Oct →
anubis13–50.0518%9 Oct →
train13–70.0221%9 Oct →
rooftop8–80.1041%9 Oct →
vertigo13–40.0217%26 Sept →
overpass5–130.0819%26 Sept →
dust213–100.0121%16 Sept →
train8–130.0212%16 Sept →
dust216–130.1222%16 Sept →
overpass13–8-0.0126%15 Sept →
nuke13–100.0527%15 Sept →
dust213–30.0224%13 Sept →
ancient13–100.0624%13 Sept →
nuke13–20.1023%12 Sept →
ancient9–130.0414%12 Sept →
dust213–100.0421%12 Sept →
inferno13–100.0512%12 Sept →
train15–150.0413%1 Sept →
dust211–130.0227%1 Sept →
dust213–50.0929%30 Aug →
mirage13–80.0315%30 Aug →
train13–8-0.0113%29 Aug →
overpass13–80.0214%16 Aug →
mirage13–30.1115%16 Aug →
ancient1–100.0819%16 Aug →
mirage13–110.0620%11 Aug →
nuke1–6-0.0820%11 Aug →
inferno13–100.0218%10 Aug →
dust213–110.0719%10 Aug →
ancient15–150.0416%10 Aug →
overpass11–00.0318%10 Aug →
mirage10–130.0719%10 Aug →
inferno13–10.0916%10 Aug →
train13–60.0316%10 Aug →
ancient15–15-0.0110%6 Aug →
inferno7–130.0123%6 Aug →
nuke13–80.0119%6 Aug →
mirage13–160.0115%6 Aug →
overpass13–100.0218%6 Aug →
ancient11–130.0615%6 Aug →
overpass13–50.0924%6 Aug →
train16–140.0014%6 Aug →
dust213–160.0122%6 Aug →
nuke0–6-0.080%4 Aug →
mirage2–13-0.0324%28 Jul →
ancient5–13-0.0116%28 Jul →
dust213–110.0623%28 Jul →
overpass13–50.0216%28 Jul →
overpass10–13-0.056%21 Jul →
ancient10–130.0317%21 Jul →
train11–130.0820%21 Jul →
train16–120.0417%18 Jul →
nuke7–13-0.0024%18 Jul →
inferno13–60.0821%18 Jul →
dust213–7-0.0117%18 Jul →
overpass10–130.0214%18 Jul →
dust213–100.089%14 Jul →
inferno11–130.0921%14 Jul →
agency13–40.0427%12 Jul →
vertigo13–30.1621%12 Jul →
anubis13–50.0910%12 Jul →
inferno13–4-0.0018%11 Jul →
train13–70.0920%11 Jul →
dust213–60.0523%11 Jul →
nuke13–80.0622%9 Jul →
vertigo13–60.069%9 Jul →
ancient13–20.1024%9 Jul →
inferno13–70.0625%9 Jul →
ancient9–13-0.0414%9 Jul →
inferno13–6-0.0018%27 Jun →
anubis11–130.0720%27 Jun →
ancient13–110.0414%27 Jun →
dust29–13-0.0024%27 Jun →
nuke5–9-0.129%27 Jun →
dust26–130.0324%27 Jun →
brewery9–6-0.0610%27 Jun →
inferno9–70.0219%27 Jun →
inferno6–130.0735%27 Jun →
anubis1–13-0.0438%27 Jun →
nuke10–3-0.0113%27 Jun →
dust22–5-0.040%27 Jun →
mirage13–2-0.0217%27 Jun →
nuke13–70.1619%26 Jun →
dust213–50.0410%26 Jun →
anubis13–70.0510%26 Jun →
inferno13–100.0210%26 Jun →
anubis13–90.0413%26 Jun →
ancient13–90.0720%26 Jun →
inferno13–40.1710%26 Jun →
dust26–130.0018%26 Jun →
train13–100.0420%26 Jun →
overpass13–100.1327%26 Jun →
dogtown9–7-0.0419%24 Jun →
nuke13–30.2012%24 Jun →
vertigo8–80.0540%24 Jun →
inferno9–60.1261%24 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.