diff --git a/web/src/padelnomics/content/templates/city-cost-de.md.jinja b/web/src/padelnomics/content/templates/city-cost-de.md.jinja
index b9a96e1..cc1b032 100644
--- a/web/src/padelnomics/content/templates/city-cost-de.md.jinja
+++ b/web/src/padelnomics/content/templates/city-cost-de.md.jinja
@@ -9,7 +9,7 @@ url_pattern: "/markets/{{ country_slug }}/{{ city_slug }}"
title_pattern: "{% if language == 'de' %}Padel in {{ city_name }} — Investitionskosten & Marktanalyse {{ 'now' | datetimeformat('%Y') }}{% else %}Padel in {{ city_name }} — Investment Costs & Market Analysis {{ 'now' | datetimeformat('%Y') }}{% endif %}"
meta_description_pattern: "{% if language == 'de' %}Lohnt sich eine Padelhalle in {{ city_name }}? {{ padel_venue_count }} Anlagen, padelnomics Market Score {{ market_score | round(1) }}/100 und ein vollständiges Finanzmodell. Stand {{ 'now' | datetimeformat('%B %Y') }}.{% else %}Is {{ city_name }} worth building a padel center in? {{ padel_venue_count }} venues, padelnomics Market Score {{ market_score | round(1) }}/100, and a full financial model. Updated {{ 'now' | datetimeformat('%B %Y') }}.{% endif %}"
schema_type: [Article, FAQPage]
-priority_column: padel_venue_count
+priority_column: population
---
{% if language == "de" %}
# Lohnt sich eine Padelhalle in {{ city_name }}?
@@ -23,6 +23,12 @@ priority_column: padel_venue_count
padelnomics Market Score
{{ market_score | round(1) }}/100
+ {% if opportunity_score %}
+
+
padelnomics Opportunity Score
+
{{ opportunity_score | round(1) }}/100
+
Spitzenpreis
{% if median_peak_rate %}{{ median_peak_rate | round(0) | int }}{% else %}—{% endif %}{% if median_peak_rate %}{{ price_currency }}/Std{% endif %}
@@ -33,7 +39,7 @@ priority_column: padel_venue_count
-{{ city_name }} erreicht einen **padelnomics Market Score von {{ market_score | round(1) }}/100** — damit liegt die Stadt{% if market_score >= 70 %} unter den stärksten Padel-Märkten in {{ country_name_en }}{% elif market_score >= 45 %} im soliden Mittelfeld der Padel-Märkte in {{ country_name_en }}{% else %} in einem frühen Padel-Markt mit Wachstumspotenzial{% endif %}. Aktuell gibt es **{{ padel_venue_count }} Padelanlagen** für {% if population >= 1000000 %}{{ (population / 1000000) | round(1) }}M{% else %}{{ (population / 1000) | round(0) | int }}K{% endif %} Einwohner — das entspricht {{ venues_per_100k | round(1) }} Anlagen pro 100.000 Einwohner.
+{{ city_name }} erreicht einen **padelnomics Market Score von {{ market_score | round(1) }}/100** — damit liegt die Stadt{% if market_score >= 70 %} unter den stärksten Padel-Märkten in {{ country_name_en }}{% elif market_score >= 45 %} im soliden Mittelfeld der Padel-Märkte in {{ country_name_en }}{% else %} in einem frühen Padel-Markt mit Wachstumspotenzial{% endif %}. Aktuell gibt es **{{ padel_venue_count }} Padelanlagen** für {% if population >= 1000000 %}{{ (population / 1000000) | round(1) }}M{% else %}{{ (population / 1000) | round(0) | int }}K{% endif %} Einwohner — das entspricht {{ venues_per_100k | round(1) }} Anlagen pro 100.000 Einwohner.{% if opportunity_score %} Der **padelnomics Opportunity Score von {{ opportunity_score | round(1) }}/100** bewertet das Investitionspotenzial — Versorgungslücken, Einzugsgebiet und Sportaffinität der Region:{% if opportunity_score >= 65 and market_score < 50 %} überschaubare Konkurrenz trifft auf starkes Standortpotenzial{% elif opportunity_score >= 65 %} hohes Potenzial trotz bereits aktivem Marktumfeld{% elif opportunity_score >= 40 %} solides Potenzial, der Markt beginnt sich zu verdichten{% else %} der Standort ist vergleichsweise gut versorgt, Differenzierung wird zum Schlüssel{% endif %}.{% endif %}
Die entscheidende Frage für Investoren: Was bringt ein Padel-Investment bei den aktuellen Preisen, Auslastungsraten und Baukosten tatsächlich? Das Finanzmodell unten rechnet mit echten Marktdaten aus {{ city_name }}.
@@ -88,7 +94,8 @@ Eine detaillierte Preisanalyse mit Preisspannen und Vergleichsdaten findest Du a
| Anlagen | {{ padel_venue_count }} |
| Anlagen pro 100K Einwohner | {{ venues_per_100k | round(1) }} |
| padelnomics Market Score | {{ market_score | round(1) }}/100 |
-| Datenqualität | {{ (data_confidence * 100) | round(0) | int }}% |
+{% if opportunity_score %}| padelnomics Opportunity Score | {{ opportunity_score | round(1) }}/100 |
+{% endif %}| Datenqualität | {{ (data_confidence * 100) | round(0) | int }}% |
## FAQ
@@ -128,6 +135,14 @@ Das Gesamtinvestment hängt vom Hallentyp (Indoor vs. Outdoor), Grundstückskost
Der padelnomics Market Score von {{ market_score | round(1) }}/100 zeigt {{ city_name }}s Position unter den erfassten Städten in {{ country_name_en }}. In der [Marktübersicht für {{ country_name_en }}](/{{ language }}/markets/{{ country_slug }}) findest Du den Vergleich aller Städte.
+{% if opportunity_score %}
+
+Was ist der Unterschied zwischen Market Score und Opportunity Score?
+
+Der **Market Score ({{ market_score | round(1) }}/100)** misst die *Marktreife*: Bevölkerungsgröße, bestehende Anlagendichte und Datenqualität. Ein hoher Wert steht für einen etablierten Markt mit belastbaren Preisdaten — und oft auch für mehr Wettbewerb. Der **Opportunity Score ({{ opportunity_score | round(1) }}/100)** dreht die Logik um: Er bewertet *Investitionspotenzial* anhand von Versorgungslücken, Entfernung zur nächsten Anlage und der Tennisinfrastruktur als Proxy für Racket-Sport-Affinität. Hoher Opportunity Score bei niedrigem Market Score — das ist das klassische White-Space-Signal. Hoher Wert in beiden — bewiesene Nachfrage mit noch offenen Standorten.
+
+{% endif %}
+
Bereit für Deine eigene Kalkulation? →
Businessplan erstellen
@@ -148,6 +163,12 @@ Der
padelnomics Market Score{{ market_score | round(1) }}/100
+ {% if opportunity_score %}
+
+
padelnomics Opportunity Score
+
{{ opportunity_score | round(1) }}/100
+
Peak Rate
{% if median_peak_rate %}{{ median_peak_rate | round(0) | int }}{% else %}—{% endif %}{% if median_peak_rate %}{{ price_currency }}/hr{% endif %}
@@ -158,7 +179,7 @@ Der
padelnomics Market Score of {{ market_score | round(1) }}/100** — placing it{% if market_score >= 70 %} among the strongest padel markets in {{ country_name_en }}{% elif market_score >= 45 %} in the mid-tier of {{ country_name_en }}'s padel markets{% else %} in an early-stage padel market with room for growth{% endif %}. The city currently has **{{ padel_venue_count }} padel venues** serving a population of {% if population >= 1000000 %}{{ (population / 1000000) | round(1) }}M{% else %}{{ (population / 1000) | round(0) | int }}K{% endif %} residents — a density of {{ venues_per_100k | round(1) }} venues per 100,000 people.
+{{ city_name }} has a **padelnomics Market Score of {{ market_score | round(1) }}/100** — placing it{% if market_score >= 70 %} among the strongest padel markets in {{ country_name_en }}{% elif market_score >= 45 %} in the mid-tier of {{ country_name_en }}'s padel markets{% else %} in an early-stage padel market with room for growth{% endif %}. The city currently has **{{ padel_venue_count }} padel venues** serving a population of {% if population >= 1000000 %}{{ (population / 1000000) | round(1) }}M{% else %}{{ (population / 1000) | round(0) | int }}K{% endif %} residents — a density of {{ venues_per_100k | round(1) }} venues per 100,000 people.{% if opportunity_score %} The **padelnomics Opportunity Score of {{ opportunity_score | round(1) }}/100** scores investment potential — supply gaps, catchment reach, and sports culture as a demand proxy:{% if opportunity_score >= 65 and market_score < 50 %} limited competition meets strong location fundamentals{% elif opportunity_score >= 65 %} strong potential despite an already active market{% elif opportunity_score >= 40 %} solid potential as the market starts to fill in{% else %} the area is comparatively well-served; differentiation is the key lever{% endif %}.{% endif %}
The question investors actually need answered is: given current pricing, occupancy, and build costs, what does the return look like? The financial model below uses real {{ city_name }} market data to give you that answer.
@@ -213,7 +234,8 @@ For a detailed pricing breakdown with price ranges and venue comparisons, see th
| Venues | {{ padel_venue_count }} |
| Venues per 100K residents | {{ venues_per_100k | round(1) }} |
| padelnomics Market Score | {{ market_score | round(1) }}/100 |
-| Data Confidence | {{ (data_confidence * 100) | round(0) | int }}% |
+{% if opportunity_score %}| padelnomics Opportunity Score | {{ opportunity_score | round(1) }}/100 |
+{% endif %}| Data Confidence | {{ (data_confidence * 100) | round(0) | int }}% |
## FAQ
@@ -253,6 +275,14 @@ Total investment depends on venue type (indoor vs outdoor), land costs, and loca
{{ city_name }}'s padelnomics Market Score of {{ market_score | round(1) }}/100 reflects its ranking among tracked {{ country_name_en }} cities. See the [{{ country_name_en }} market overview](/{{ language }}/markets/{{ country_slug }}) for a full comparison across cities.
+{% if opportunity_score %}
+
+What is the difference between Market Score and Opportunity Score?
+
+The **Market Score ({{ market_score | round(1) }}/100)** measures *market maturity*: population size, existing venue density, and data quality. A high score signals an established market with reliable pricing data — and typically more competition. The **Opportunity Score ({{ opportunity_score | round(1) }}/100)** inverts that logic: it scores *investment potential* based on supply gaps, distance to the nearest facility, and tennis infrastructure as a proxy for racket sport demand. High Opportunity Score with a low Market Score is the classic white-space signal. High on both means proven demand with open locations still available.
+
+{% endif %}
+