Hamburger Royal TS

Hamburger Royal TS — CS2 Stats

76561198292619809[U:1:332354081]Steam profile ↗✓ No bans

635Tracked matches45%Win rate2024Tracked since
CSDB Rating3.8 LearningSupport
Premier CS Rating11,703Blue band · top ~45.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (3 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: 11,703 +850 29 Sept – 31 Oct · 6 days played
10,85311,951peak 11,95129 Sept31 Oct
12,014Peak Premier in tracked matches
24Days played since 2026-09-24

Premier CS Rating

  • 248 below peak (11,951)
  • +850 over 30 days · improving
  • Next: Purple band at 15,000 — 3,297 to go
  • Reached: Blue band · Light Blue band

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

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Performance scores

Aim41
Positioning37
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY39–51–10Last 10039%Win rateLWLLWWLWWW

Last 10 vs previous 10: +40pp win rate · +0.08 avg rating · +3.4pp headshot accuracy · +59ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 699ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 658ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 628ms

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 (+2.9 against its own average).

Aim4.1
Utility5.1
Positioning3.7
Opening Duels0.0
Clutch0.0

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

b1t

Plays most like b1t 71% 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. 643ms 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

Aim4.1
Positioning3.7
Utility5.1
Mechanics6.1
Opening Duels0.2
Win Impact3.3

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time616ms+3ms
first ⅓ avg 612ms → last ⅓ avg 616ms
Headshot accuracy12.7%−0.8%
first ⅓ avg 13.5% → last ⅓ avg 12.7%

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

0.17Best match rating · 9–0 · nuke, 2 Oct →
36%Best headshot accuracy · 9–2 · inferno, 2 Oct →
359msFastest reaction time · 2–9 · inferno, 28 Sept →
13–1Biggest win · dust2, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 44% over 16cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D2910–1934%-0.03
nukeC219–1243%-0.03
infernoC167–944%-0.05
poseidonC94–544%-0.04
cacheD81–713%-0.05
overpass—31–233%-0.00
mirage—31–233%-0.03
office—21–150%0.04
ancient—22–0100%0.05
train—21–150%-0.01
anubis—11–0100%-0.01
shelter—10–10%-0.00
fachwerk—11–0100%0.00
italy—10–10%-0.08
vertigo—10–10%-0.11

Across the last 100 tracked matches.

Faceit stats

Combat

10Matches
30%Win rate
0.47Avg K/D
51.2ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2540%0.578.4
Train20%0.344.5
Mirage20%0.142.0
Inferno1100%0.898.0

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.

13.1%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.8%Spray accuracy
77.3%Counter-strafing
12.2°Preaim
643msReaction time
28.2%T opening success
31.9%CT opening success
0.47Enemies flashed / flash
5.4%Flash assists
7.12HE 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2242° — above the 12° mark we flag

    Aim Training →
  2. 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 13.1059% — below the 15% mark we flag

    Aim Training →
  3. 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 0.467 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.076%1 Nov →
office10–50.1021%1 Nov →
office11–13-0.020%31 Oct →
overpass10–13-0.0211%31 Oct →
nuke13–60.0433%31 Oct →
dust213–10-0.0119%31 Oct →
cache4–13-0.097%31 Oct →
ancient13–60.0515%31 Oct →
dust213–50.0728%30 Oct →
dust213–6-0.0016%30 Oct →
nuke5–9-0.2117%27 Oct →
poseidon8–8-0.1111%27 Oct →
poseidon8–8-0.034%27 Oct →
nuke8–8-0.028%27 Oct →
inferno4–9-0.175%27 Oct →
cache11–13-0.0710%26 Oct →
mirage16–13-0.0118%26 Oct →
nuke13–60.0821%26 Oct →
inferno1–9-0.1618%26 Oct →
dust26–13-0.0710%25 Oct →
dust29–13-0.0214%25 Oct →
anubis13–10-0.0110%25 Oct →
dust25–13-0.0517%25 Oct →
dust23–13-0.128%24 Oct →
nuke13–30.019%24 Oct →
inferno0–13-0.060%24 Oct →
dust212–120.0212%24 Oct →
cache9–13-0.0512%23 Oct →
cache13–20.0711%23 Oct →
dust29–13-0.0517%23 Oct →
dust26–13-0.097%22 Oct →
nuke4–9-0.1615%22 Oct →
inferno5–9-0.099%22 Oct →
poseidon9–30.0231%22 Oct →
cache3–13-0.103%22 Oct →
mirage11–13-0.0516%18 Oct →
nuke13–5-0.065%18 Oct →
nuke13–11-0.0611%18 Oct →
nuke6–13-0.0219%18 Oct →
dust25–13-0.0417%18 Oct →
inferno9–30.1013%18 Oct →
poseidon4–9-0.1127%18 Oct →
inferno9–20.0311%17 Oct →
overpass13–30.067%17 Oct →
dust28–13-0.0819%17 Oct →
nuke7–13-0.0725%17 Oct →
dust213–1-0.0115%17 Oct →
dust27–13-0.0713%16 Oct →
dust29–13-0.037%16 Oct →
nuke9–13-0.0612%15 Oct →
dust212–12-0.0124%15 Oct →
dust213–7-0.0313%15 Oct →
inferno4–9-0.1430%13 Oct →
nuke13–11-0.0516%13 Oct →
dust23–13-0.1013%13 Oct →
shelter9–13-0.0013%11 Oct →
fachwerk10–90.008%11 Oct →
dust212–12-0.0512%11 Oct →
dust213–2-0.0410%11 Oct →
train13–60.049%11 Oct →
train12–12-0.0611%11 Oct →
poseidon3–9-0.0725%10 Oct →
nuke2–9-0.1213%10 Oct →
inferno7–9-0.0921%10 Oct →
cache2–13-0.0712%10 Oct →
nuke7–9-0.1619%9 Oct →
poseidon9–30.0214%9 Oct →
inferno9–3-0.070%9 Oct →
inferno2–9-0.1316%4 Oct →
nuke8–13-0.0013%2 Oct →
poseidon9–7-0.0517%2 Oct →
nuke9–00.177%2 Oct →
poseidon9–10.1320%2 Oct →
inferno9–30.1217%2 Oct →
inferno9–2-0.0836%2 Oct →
dust213–7-0.055%2 Oct →
inferno8–8-0.1112%1 Oct →
inferno9–20.1219%1 Oct →
italy9–13-0.0814%30 Sept →
dust28–0-0.010%30 Sept →
nuke5–9-0.0510%30 Sept →
inferno9–10.107%30 Sept →
poseidon4–9-0.1231%30 Sept →
nuke7–6-0.0617%30 Sept →
cache8–13-0.0317%29 Sept →
dust28–13-0.0827%29 Sept →
dust213–70.0611%29 Sept →
vertigo10–13-0.113%29 Sept →
nuke8–130.1118%29 Sept →
dust212–12-0.079%29 Sept →
ancient13–40.0410%28 Sept →
dust213–30.0513%28 Sept →
nuke8–13-0.0510%28 Sept →
dust27–130.0221%28 Sept →
inferno2–9-0.2316%28 Sept →
dust212–12-0.0615%28 Sept →
mirage5–13-0.026%28 Sept →
cache5–13-0.062%28 Sept →
nuke9–40.086%24 Sept →
overpass3–13-0.0419%24 Sept →

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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