bulmeisteR

bulmeisteR — CS2 Stats

SE76561197960722142[U:1:456414]Steam profile ↗✓ No bans

1,259Tracked matches32%Win rate2020Tracked since
3,397Hours in CS49Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating20,007Top 50% of 213,399 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#82969 of 260007 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 20,007 +1,207 23 Sept – 4 Nov · 27 days played
18,71823,204peak 23,20423 Sept4 Nov
23,204Peak Premier in tracked matches
34Days played since 2026-09-22

Premier CS Rating

  • 3,197 below peak (23,204)
  • -659 over 30 days · declining
  • Next: Red band at 25,000 — 4,993 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-30
  • Blue band first seen 2026-09-30

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate48.6%42.7%43.8%above
Shot accuracy8.9%11.2%12.0%3.2% short
Kill/death ratio0.990.991.020.02 short
Match win rate43.4%43.9%44.7%1.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbulmeisteRFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,007 · Pink 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

Aim74
Positioning50
Utility75

0–100 skill scores via Leetify.

Recent form

COLD39–57–4Last 10039%Win rateLWWLLLLLTW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.7pp headshot accuracy · +60ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 576ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 524ms

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 (+3.1 against its own average).

Aim7.4
Utility7.5
Positioning5.0
Opening Duels1.0
Clutch4.0

Strong CT-side openerEffective flashesHigh utility contribution

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

ZywOo

Plays most like ZywOo 72% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

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

Aim7.4
Positioning5.0
Utility7.5
Mechanics5.7
Opening Duels2.2
Win Impact0.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time536ms−65ms
first ⅓ avg 601ms → last ⅓ avg 536ms
Headshot accuracy18.3%−2.7%
first ⅓ avg 21.0% → last ⅓ avg 18.3%

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

0.15Best match rating · 13–3 · mirage, 21 Oct →
50%Best headshot accuracy · 13–7 · cache, 26 Sept →
406msFastest reaction time · 13–8 · inferno, 24 Oct →
13–2Biggest win · nuke, 19 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
10–8In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 78% over 9ancientWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S2114–767%-0.00
infernoD165–1131%-0.01
mirageD152–1313%-0.00
ancientD121–118%-0.01
anubisC114–736%0.00
nukeC114–736%0.02
cacheS97–278%-0.01
vertigo—31–233%0.01
train—11–0100%0.02
overpass—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,454Lifetime kills
0.99K/D
4,867Matches
43.4%Match win rate
48.6%Headshot % · Top 25% of Level 4 players
8.9%Shot accuracy
10,561MVPs
2,184Hours (in match)
8,351Bombs planted
1,612Bombs defused

Most-used weapons

AK-4730,439
AWP9,953
FAMAS3,639
MAC-102,838
P2502,022

Lifetime map wins

10,422inferno
9,377dust2
7,584nuke
3,524train
3,444vertigo
205cbble
100lake
38italy

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

Faceit stats

Combat

126Matches
52%Win rate
0.95Avg K/D
72.5ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2450%1.0514.3
Nuke1567%1.4914.5
Dust21443%0.9414.8
Anubis1283%0.9412.8
Mirage922%0.7911.1
Train771%0.9212.4
Ancient650%0.9513.2
Vertigo10%0.8012.0

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.

18.1%Headshot accuracy
35.1%Accuracy (enemy spotted)
33.1%Spray accuracy
75.5%Counter-strafing
8.2°Preaim
535msReaction time
35.4%T opening success
41.8%CT opening success
0.82Enemies flashed / flash
7.6%Flash assists
8.20HE damage / grenade
13.11Flashes / 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

    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 35.4135% — below the 40% mark we flag

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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.027%4 Nov →
anubis13–80.0824%4 Nov →
dust213–11-0.0119%4 Nov →
dust25–130.0525%3 Nov →
dust20–13-0.1030%3 Nov →
mirage7–130.0621%3 Nov →
mirage3–13-0.049%3 Nov →
inferno5–13-0.058%3 Nov →
ancient15–15-0.0217%3 Nov →
ancient13–5-0.0113%3 Nov →
nuke13–110.1021%2 Nov →
inferno10–130.0225%2 Nov →
anubis16–14-0.028%2 Nov →
dust22–13-0.0610%2 Nov →
cache11–13-0.0017%2 Nov →
mirage9–13-0.0623%2 Nov →
dust213–11-0.0415%1 Nov →
inferno9–13-0.0219%1 Nov →
dust213–11-0.0423%1 Nov →
ancient6–130.0029%31 Oct →
dust216–14-0.0215%31 Oct →
ancient10–130.0519%29 Oct →
ancient6–13-0.0515%29 Oct →
mirage7–13-0.0620%29 Oct →
mirage7–13-0.0313%29 Oct →
dust213–100.0218%28 Oct →
ancient6–130.0132%27 Oct →
inferno14–16-0.0216%27 Oct →
nuke13–160.0315%26 Oct →
inferno12–120.0725%26 Oct →
nuke4–130.0318%25 Oct →
inferno13–8-0.0420%24 Oct →
dust216–14-0.0216%24 Oct →
anubis11–13-0.0018%24 Oct →
dust216–13-0.039%24 Oct →
inferno13–5-0.0516%24 Oct →
ancient5–13-0.0224%22 Oct →
anubis1–13-0.0122%22 Oct →
cache10–130.0114%22 Oct →
dust211–130.0626%22 Oct →
mirage13–30.1519%21 Oct →
nuke13–20.1218%19 Oct →
inferno9–130.0112%19 Oct →
cache12–3-0.0310%19 Oct →
anubis12–16-0.0221%19 Oct →
dust213–80.0920%19 Oct →
ancient14–16-0.0120%18 Oct →
nuke13–30.0312%18 Oct →
mirage12–160.0213%18 Oct →
anubis11–13-0.0614%18 Oct →
anubis8–13-0.0223%18 Oct →
dust20–13-0.069%16 Oct →
dust213–50.1013%16 Oct →
cache13–80.0118%16 Oct →
dust213–10-0.0416%16 Oct →
nuke10–13-0.0421%16 Oct →
mirage7–13-0.0118%15 Oct →
mirage10–3-0.0133%15 Oct →
anubis5–13-0.0231%15 Oct →
dust216–13-0.0122%14 Oct →
ancient11–13-0.0015%14 Oct →
cache13–5-0.0518%14 Oct →
dust216–140.0915%14 Oct →
ancient10–130.0111%13 Oct →
dust213–60.0520%13 Oct →
mirage11–13-0.0415%13 Oct →
nuke9–130.0220%13 Oct →
train13–50.0226%12 Oct →
inferno13–80.0318%12 Oct →
vertigo13–70.0314%11 Oct →
mirage4–13-0.0111%11 Oct →
ancient6–13-0.0517%10 Oct →
nuke9–13-0.0526%6 Oct →
mirage2–130.0123%4 Oct →
mirage7–13-0.0221%3 Oct →
mirage15–150.0216%3 Oct →
cache13–70.0214%3 Oct →
nuke5–13-0.0612%3 Oct →
anubis16–14-0.0218%3 Oct →
cache13–11-0.0112%3 Oct →
mirage12–16-0.0131%3 Oct →
anubis7–130.1028%2 Oct →
inferno13–30.0024%1 Oct →
dust210–130.0515%1 Oct →
inferno7–13-0.0433%30 Sept →
dust213–8-0.0321%27 Sept →
cache13–5-0.0121%27 Sept →
cache13–7-0.0250%26 Sept →
inferno13–160.0121%26 Sept →
nuke13–90.1119%26 Sept →
dust25–13-0.0821%26 Sept →
inferno2–13-0.0229%26 Sept →
ancient6–13-0.0111%26 Sept →
vertigo12–120.0425%25 Sept →
inferno1–9-0.1217%24 Sept →
nuke9–13-0.0432%23 Sept →
overpass10–13-0.0230%23 Sept →
vertigo9–13-0.0613%23 Sept →
inferno13–50.0114%22 Sept →
anubis13–50.0313%22 Sept →

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 →

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