From cd95ff7b6c87a58155d5c8495967b467f256ada2 Mon Sep 17 00:00:00 2001 From: Deeman Date: Mon, 9 Mar 2026 12:07:29 +0100 Subject: [PATCH] feat(templates): consolidate to single Padelnomics Score in pSEO articles Phase C: Replace dual Market Score / Opportunity Score display with single "Padelnomics Score" (backed by opportunity_score column) across city-cost-de, city-pricing, and country-overview templates. Remove dual-score FAQ sections, update threshold-based copy. Co-Authored-By: Claude Opus 4.6 --- .../content/templates/city-cost-de.md.jinja | 56 +++--------- .../content/templates/city-pricing.md.jinja | 4 +- .../templates/country-overview.md.jinja | 88 ++++--------------- 3 files changed, 32 insertions(+), 116 deletions(-) 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 5b606b4..c8d2d5e 100644 --- a/web/src/padelnomics/content/templates/city-cost-de.md.jinja +++ b/web/src/padelnomics/content/templates/city-cost-de.md.jinja @@ -7,7 +7,7 @@ natural_key: city_key languages: [de, en] 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 %}" +meta_description_pattern: "{% if language == 'de' %}Lohnt sich eine Padelhalle in {{ city_name }}? {{ padel_venue_count }} Anlagen, Padelnomics Score {{ opportunity_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 Score {{ opportunity_score | round(1) }}/100, and a full financial model. Updated {{ 'now' | datetimeformat('%B %Y') }}.{% endif %}" schema_type: [Article, FAQPage] priority_column: population --- @@ -20,15 +20,9 @@ priority_column: population
{{ padel_venue_count }}
-
padelnomics Market Score
-
{{ market_score | round(1) }}/100
-
- {% if opportunity_score %} -
-
padelnomics Opportunity Score
+
padelnomics Score
{{ opportunity_score | round(1) }}/100
- {% endif %}
Spitzenpreis
{% if median_peak_rate %}{{ median_peak_rate | round(0) | int }}{% else %}—{% endif %}{% if median_peak_rate %}{{ price_currency }}/Std{% endif %}
@@ -41,7 +35,7 @@ priority_column: population
-{{ city_name }} erreicht einen **padelnomics Market Score von {{ market_score | round(1) }}/100** — damit liegt die Stadt{% if market_score >= 55 %} unter den stärksten Padel-Märkten in {{ country_name_en }}{% elif market_score >= 35 %} 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 < 40 %} 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 %} +{{ city_name }} erreicht einen **padelnomics Score von {{ opportunity_score | round(1) }}/100** — der Score bewertet Investitionspotenzial anhand von Versorgungslücken, Einzugsgebiet, Marktreife und Sportaffinität der Region. {% if opportunity_score >= 65 %}Damit zählt {{ city_name }} zu den vielversprechendsten Standorten in {{ country_name_en }}{% elif opportunity_score >= 40 %}Solides Potenzial — der Markt bietet noch Raum für neue Anlagen{% else %}Der Standort ist vergleichsweise gut versorgt; Differenzierung wird zum Schlüssel{% 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. 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 }}. @@ -95,16 +89,15 @@ 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 | -{% if opportunity_score %}| padelnomics Opportunity Score | {{ opportunity_score | round(1) }}/100 | -{% endif %}| Datenqualität | {{ (data_confidence * 100) | round(0) | int }}% | +| padelnomics Score | {{ opportunity_score | round(1) }}/100 | +| Datenqualität | {{ (data_confidence * 100) | round(0) | int }}% | ## FAQ
Ist {{ city_name }} ein guter Standort für eine Padelhalle? -{{ city_name }} erreicht **{{ market_score | round(1) }}/100** auf dem padelnomics Market Score, der Anlagendichte, Bevölkerungsgröße und Datenqualität berücksichtigt. {% if market_score >= 55 %}Ein Score über 55 signalisiert einen starken Markt: etablierte Anlagendichte, wachsende Spielerbasis und belastbare Preisdaten. {% elif market_score >= 35 %}Ein mittlerer Score bedeutet solide Grundlagen, aber einen teils stärker umkämpften oder datenlimitierten Markt. {% else %}Ein niedrigerer Score spricht für einen Markt im frühen Aufbau — was gleichzeitig weniger Wettbewerb und First-Mover-Vorteile bedeuten kann. {% endif %}Mit dem [Finanzplaner](/{{ language }}/planner) kannst Du Deine eigenen Annahmen durchrechnen. +{{ city_name }} erreicht **{{ opportunity_score | round(1) }}/100** auf dem padelnomics Score, der Versorgungslücken, Einzugsgebiet, Marktreife und Sportaffinität der Region bewertet. {% if opportunity_score >= 65 %}Ein Score über 65 signalisiert hohes Investitionspotenzial: relevantes Einzugsgebiet, Versorgungslücken und eine sportaffine Bevölkerung. {% elif opportunity_score >= 40 %}Ein mittlerer Score steht für solides Potenzial — der Markt bietet Raum, erfordert aber sorgfältige Standortwahl. {% else %}Ein niedrigerer Score deutet auf einen bereits gut versorgten Markt — Differenzierung über Lage, Qualität oder Preisgestaltung wird hier entscheidend. {% endif %}Mit dem [Finanzplaner](/{{ language }}/planner) kannst Du Deine eigenen Annahmen durchrechnen.
@@ -134,17 +127,9 @@ Das Gesamtinvestment hängt vom Hallentyp (Indoor vs. Outdoor), Grundstückskost
Wie schneidet {{ city_name }} im Vergleich zu anderen Städten in {{ country_name_en }} ab? -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. +Der padelnomics Score von {{ opportunity_score | round(1) }}/100 zeigt {{ city_name }}s Investitionspotenzial im Vergleich zu anderen 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 @@ -162,15 +147,9 @@ Der **Market Score ({{ market_score | round(1) }}/100)** misst die *Marktreife*:
{{ padel_venue_count }}
-
padelnomics Market Score
-
{{ market_score | round(1) }}/100
-
- {% if opportunity_score %} -
-
padelnomics Opportunity Score
+
padelnomics Score
{{ opportunity_score | round(1) }}/100
- {% endif %}
Peak Rate
{% if median_peak_rate %}{{ median_peak_rate | round(0) | int }}{% else %}—{% endif %}{% if median_peak_rate %}{{ price_currency }}/hr{% endif %}
@@ -183,7 +162,7 @@ Der **Market Score ({{ market_score | round(1) }}/100)** misst die *Marktreife*:
-{{ city_name }} has a **padelnomics Market Score of {{ market_score | round(1) }}/100** — placing it{% if market_score >= 55 %} among the strongest padel markets in {{ country_name_en }}{% elif market_score >= 35 %} 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 < 40 %} 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 %} +{{ city_name }} has a **padelnomics Score of {{ opportunity_score | round(1) }}/100** — the score evaluates investment potential based on supply gaps, catchment reach, market maturity, and sports culture. {% if opportunity_score >= 65 %}This places {{ city_name }} among the most promising locations in {{ country_name_en }}{% elif opportunity_score >= 40 %}Solid potential — the market still has room for new facilities{% else %}The area is comparatively well-served; differentiation becomes the key lever{% 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. The question that matters: given current pricing, occupancy, and build costs, what does a padel investment in {{ city_name }} actually return? The financial model below works with real local market data. @@ -237,16 +216,15 @@ 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 | -{% if opportunity_score %}| padelnomics Opportunity Score | {{ opportunity_score | round(1) }}/100 | -{% endif %}| Data Confidence | {{ (data_confidence * 100) | round(0) | int }}% | +| padelnomics Score | {{ opportunity_score | round(1) }}/100 | +| Data Confidence | {{ (data_confidence * 100) | round(0) | int }}% | ## FAQ
Is {{ city_name }} a good location for a padel center? -{{ city_name }} scores **{{ market_score | round(1) }}/100** on the padelnomics Market Score, which primarily reflects venue density alongside population size and data completeness. {% if market_score >= 55 %}A score above 55 indicates a strong market: established venue density, a growing player base, and solid pricing data. {% elif market_score >= 35 %}A mid-range score means decent fundamentals but a more competitive or data-limited market. {% else %}A lower score reflects an early-stage market — which can also mean lower competition and first-mover advantage. {% endif %}Use the [Padelnomics planner](/{{ language }}/planner) to model your specific assumptions. +{{ city_name }} scores **{{ opportunity_score | round(1) }}/100** on the padelnomics Score, which evaluates investment potential based on supply gaps, catchment reach, market maturity, and sports culture. {% if opportunity_score >= 65 %}A score above 65 signals strong investment potential: meaningful catchment area, supply gaps, and a sports-oriented population. {% elif opportunity_score >= 40 %}A mid-range score means solid potential — the market has room, but requires careful site selection. {% else %}A lower score indicates a well-served market — differentiation through location, quality, or pricing becomes critical. {% endif %}Use the [Padelnomics planner](/{{ language }}/planner) to model your specific assumptions.
@@ -276,17 +254,9 @@ Total investment depends on venue type (indoor vs outdoor), land costs, and loca
How does {{ city_name }} compare to other {{ country_name_en }} cities? -{{ 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. +{{ city_name }}'s padelnomics Score of {{ opportunity_score | round(1) }}/100 reflects its investment potential 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 %} -
Ready to run the numbers for {{ city_name }}? → Build your business plan diff --git a/web/src/padelnomics/content/templates/city-pricing.md.jinja b/web/src/padelnomics/content/templates/city-pricing.md.jinja index d89fa10..06edd91 100644 --- a/web/src/padelnomics/content/templates/city-pricing.md.jinja +++ b/web/src/padelnomics/content/templates/city-pricing.md.jinja @@ -55,7 +55,7 @@ Die Preisspanne von {{ hourly_rate_p25 | round(0) | int }} bis {{ hourly_rate_p7 ## Wie steht {{ city_name }} im Vergleich da? -{{ city_name }} hat {{ padel_venue_count }} Padelanlagen für {% if population >= 1000000 %}{{ (population / 1000000) | round(1) }}M{% else %}{{ (population / 1000) | round(0) | int }}K{% endif %} Einwohner ({{ venues_per_100k | round(1) }} Anlagen pro 100K Einwohner). {% if market_score >= 55 %}Mit einem padelnomics Market Score von {{ market_score | round(1) }}/100 gehört {{ city_name }} zu den stärksten Padel-Märkten in {{ country_name_en }} — höhere Auslastung und Preise sind typisch für dichte, etablierte Märkte. {% elif market_score >= 35 %}Ein Market Score von {{ market_score | round(1) }}/100 steht für einen Markt im Aufbau: genug Angebot für marktgerechte Preise, aber Raum für neue Anlagen. {% else %}Ein Market Score von {{ market_score | round(1) }}/100 deutet auf einen Markt in der Frühphase hin, in dem sich Preise und Auslastung mit dem Wachstum des Sports noch deutlich entwickeln können. {% endif %} +{{ city_name }} hat {{ padel_venue_count }} Padelanlagen für {% if population >= 1000000 %}{{ (population / 1000000) | round(1) }}M{% else %}{{ (population / 1000) | round(0) | int }}K{% endif %} Einwohner ({{ venues_per_100k | round(1) }} Anlagen pro 100K Einwohner). {% if opportunity_score >= 65 %}Mit einem padelnomics Score von {{ opportunity_score | round(1) }}/100 zählt {{ city_name }} zu den vielversprechendsten Standorten in {{ country_name_en }}. {% elif opportunity_score >= 40 %}Ein padelnomics Score von {{ opportunity_score | round(1) }}/100 steht für solides Investitionspotenzial: genug Markt für faire Preise, aber Raum für neue Anlagen. {% else %}Ein padelnomics Score von {{ opportunity_score | round(1) }}/100 spricht für einen bereits gut versorgten Markt — Differenzierung über Qualität und Lage wird entscheidend. {% endif %} Die Anlagendichte von {{ venues_per_100k | round(1) }} pro 100K Einwohner beeinflusst die Preisgestaltung direkt: {% if venues_per_100k >= 3.0 %}Höhere Dichte bedeutet mehr Wettbewerb, was die Preise eher stabilisiert oder senkt.{% elif venues_per_100k >= 1.0 %}Moderate Dichte ermöglicht marktgerechte Preise bei gleichzeitigem Wachstumsspielraum.{% else %}Niedrige Dichte gibt Betreibern mehr Preissetzungsmacht — vorausgesetzt, die Nachfrage ist da.{% endif %} @@ -168,7 +168,7 @@ The P25–P75 price range of {{ hourly_rate_p25 | round(0) | int }} to {{ hourly ## How Does {{ city_name }} Compare? -{{ city_name }} has {{ padel_venue_count }} padel venues for a population of {% if population >= 1000000 %}{{ (population / 1000000) | round(1) }}M{% else %}{{ (population / 1000) | round(0) | int }}K{% endif %} ({{ venues_per_100k | round(1) }} venues per 100K residents). {% if market_score >= 55 %}With a padelnomics Market Score of {{ market_score | round(1) }}/100, {{ city_name }} is one of the stronger padel markets in {{ country_name_en }} — higher occupancy and pricing typically follow dense, competitive markets. {% elif market_score >= 35 %}A market score of {{ market_score | round(1) }}/100 reflects a mid-tier market: enough supply to have competitive pricing, but room for new venues to grow. {% else %}A market score of {{ market_score | round(1) }}/100 indicates an early-stage market where pricing and occupancy benchmarks may shift as the sport grows. {% endif %} +{{ city_name }} has {{ padel_venue_count }} padel venues for a population of {% if population >= 1000000 %}{{ (population / 1000000) | round(1) }}M{% else %}{{ (population / 1000) | round(0) | int }}K{% endif %} ({{ venues_per_100k | round(1) }} venues per 100K residents). {% if opportunity_score >= 65 %}With a padelnomics Score of {{ opportunity_score | round(1) }}/100, {{ city_name }} is among the most promising investment locations in {{ country_name_en }}. {% elif opportunity_score >= 40 %}A padelnomics Score of {{ opportunity_score | round(1) }}/100 reflects solid investment potential: enough market for competitive pricing, but room for new venues. {% else %}A padelnomics Score of {{ opportunity_score | round(1) }}/100 indicates a well-served market — differentiation through quality and location becomes critical. {% endif %} Venue density of {{ venues_per_100k | round(1) }} per 100K residents directly influences pricing: {% if venues_per_100k >= 3.0 %}higher density means more competition, which tends to stabilize or compress prices.{% elif venues_per_100k >= 1.0 %}moderate density supports market-rate pricing with room for growth.{% else %}low density gives operators more pricing power — provided demand exists.{% endif %} diff --git a/web/src/padelnomics/content/templates/country-overview.md.jinja b/web/src/padelnomics/content/templates/country-overview.md.jinja index d495189..0693789 100644 --- a/web/src/padelnomics/content/templates/country-overview.md.jinja +++ b/web/src/padelnomics/content/templates/country-overview.md.jinja @@ -7,7 +7,7 @@ natural_key: country_slug languages: [en, de] url_pattern: "/markets/{{ country_slug }}" title_pattern: "{% if language == 'de' %}Padel in {{ country_name_en }} — Marktüberblick {{ 'now' | datetimeformat('%Y') }}{% else %}Padel in {{ country_name_en }} — Market Overview {{ 'now' | datetimeformat('%Y') }}{% endif %}" -meta_description_pattern: "{% if language == 'de' %}{{ total_venues }} Padelanlagen in {{ city_count }} Städten in {{ country_name_en }}. padelnomics Market Score, Preisdaten und Investmentanalysen für jede Stadt.{% else %}{{ total_venues }} padel venues across {{ city_count }} cities in {{ country_name_en }}. padelnomics Market Score, pricing data, and investment analysis for each city.{% endif %}" +meta_description_pattern: "{% if language == 'de' %}{{ total_venues }} Padelanlagen in {{ city_count }} Städten in {{ country_name_en }}. Padelnomics Score, Preisdaten und Investmentanalysen für jede Stadt.{% else %}{{ total_venues }} padel venues across {{ city_count }} cities in {{ country_name_en }}. Padelnomics Score, pricing data, and investment analysis for each city.{% endif %}" schema_type: [Article, FAQPage] priority_column: total_venues --- @@ -25,15 +25,9 @@ priority_column: total_venues
{{ city_count }}
-
padelnomics Market Score
-
{{ avg_market_score }}/100
-
- {% if avg_opportunity_score %} -
-
padelnomics Opportunity Score
+
padelnomics Score
{{ avg_opportunity_score }}/100
- {% endif %}
Median Spitzenpreis
{% if median_peak_rate %}{{ median_peak_rate | int }}{% else %}—{% endif %}{% if median_peak_rate and price_currency %}{{ price_currency }}/Std{% endif %}
@@ -42,19 +36,17 @@ priority_column: total_venues
-In {{ country_name_en }} erfassen wir aktuell **{{ total_venues }} Padelanlagen** in **{{ city_count }} Städten**. Der durchschnittliche padelnomics Market Score liegt bei **{{ avg_market_score }}/100**{% if avg_market_score >= 55 %} — ein starker Markt mit breiter Infrastruktur und belastbaren Preisdaten{% elif avg_market_score >= 35 %} — ein wachsender Markt mit guter Abdeckung{% else %} — ein aufstrebender Markt, in dem Früheinsteiger noch Premiumstandorte sichern können{% endif %}. +In {{ country_name_en }} erfassen wir aktuell **{{ total_venues }} Padelanlagen** in **{{ city_count }} Städten**. Der durchschnittliche padelnomics Score liegt bei **{{ avg_opportunity_score }}/100** — {% if avg_opportunity_score >= 65 %}hohes Investitionspotenzial mit relevanten Versorgungslücken{% elif avg_opportunity_score >= 40 %}solides Potenzial, der Markt bietet noch Raum für neue Standorte{% else %}ein bereits gut versorgter Markt, der sorgfältige Standortwahl erfordert{% endif %}. ## Marktlandschaft -Padel wächst in {{ country_name_en }} mit bemerkenswertem Tempo. Unsere Daten zeigen {{ total_venues }} erfasste Anlagen — eine Zahl, die angesichts nicht auf Buchungsplattformen gelisteter Clubs vermutlich noch höher liegt. Der durchschnittliche padelnomics Market Score von {{ avg_market_score }}/100 über {{ city_count }} Städte spiegelt sowohl die Marktreife als auch die Datenverfügbarkeit wider. +Padel wächst in {{ country_name_en }} mit bemerkenswertem Tempo. Unsere Daten zeigen {{ total_venues }} erfasste Anlagen — eine Zahl, die angesichts nicht auf Buchungsplattformen gelisteter Clubs vermutlich noch höher liegt. Der durchschnittliche padelnomics Score von {{ avg_opportunity_score }}/100 über {{ city_count }} Städte bewertet das Investitionspotenzial anhand von Versorgungslücken, Einzugsgebiet, Marktreife und Sportaffinität. -{% if avg_market_score >= 55 %}Märkte mit Scores über 55 weisen in der Regel eine etablierte Spielerbasis, belastbare Preisdaten und berechenbare Nachfragemuster auf — entscheidend für eine solide Finanzplanung. Dennoch bleiben viele Städte unterversorgt: Selbst in reifen Märkten variiert die Anlagendichte pro 100.000 Einwohner erheblich.{% elif avg_market_score >= 35 %}Ein Score im mittleren Bereich deutet auf eine Wachstumsphase hin: Die Nachfrage ist nachweisbar, die Anlageninfrastruktur baut sich auf, und Preise haben sich noch nicht vollständig auf Wettbewerbsniveau eingependelt. Das eröffnet Chancen für gut positionierte Neueintritte.{% else %}Aufstrebende Märkte bieten First-Mover-Vorteile — weniger direkte Konkurrenz, potenziell attraktivere Mietkonditionen und die Möglichkeit, eine loyale Spielerbasis aufzubauen, bevor sich der Markt verdichtet.{% endif %} - -{% if avg_opportunity_score %}Der durchschnittliche **padelnomics Opportunity Score von {{ avg_opportunity_score }}/100** zeigt, wie viel Investitionspotenzial in {{ country_name_en }} noch unerschlossen ist. {% if avg_opportunity_score >= 60 and avg_market_score < 40 %}Die Kombination aus hohem Opportunity Score und moderatem Market Score macht {{ country_name_en }} besonders interessant: Nachfragepotenzial und Sportaffinität sind vorhanden, die Infrastruktur noch im Aufbau — First-Mover-Konditionen für gut gewählte Standorte.{% elif avg_opportunity_score >= 60 %}Trotz eines bereits aktiven Markts gibt es noch Standorte mit erheblichem Potenzial — vor allem in mittelgroßen Städten und an der Peripherie großer Ballungsräume.{% else %}Viele Standorte in {{ country_name_en }} sind bereits gut versorgt. Neue Projekte brauchen eine sorgfältige Standortanalyse und ein klares Differenzierungsprofil.{% endif %}{% endif %} +{% if avg_opportunity_score >= 65 %}Ein Durchschnittsscore über 65 signalisiert relevante Versorgungslücken bei gleichzeitig vorhandener Nachfrage. Selbst in Regionen mit etablierter Padel-Infrastruktur variiert die Anlagendichte pro 100.000 Einwohner erheblich — lokale Analyse lohnt sich.{% elif avg_opportunity_score >= 40 %}Ein Score im mittleren Bereich deutet auf eine Wachstumsphase hin: Die Nachfrage ist nachweisbar, die Anlageninfrastruktur baut sich auf, und gut positionierte Standorte bieten noch Chancen für Neueintritte.{% else %}Viele Standorte in {{ country_name_en }} sind bereits gut versorgt. Neue Projekte brauchen eine sorgfältige Standortanalyse und ein klares Differenzierungsprofil.{% endif %} ## Top-Städte in {{ country_name_en }} -Die Rangfolge basiert auf dem padelnomics Market Score — einem Komposit aus Bevölkerungsgröße, Anlagendichte und Datenqualität. Städte mit höherem Score bieten in der Regel größere adressierbare Märkte und belastbarere Benchmarks für die Finanzplanung. +Die Rangfolge basiert auf dem padelnomics Score — einer Bewertung des Investitionspotenzials anhand von Versorgungslücken, Einzugsgebiet, Marktreife und Sportaffinität. Städte mit höherem Score bieten in der Regel die besten Standortbedingungen für neue Anlagen. | Stadt | Marktanalyse | |-------|-------------| @@ -63,17 +55,6 @@ Die Rangfolge basiert auf dem padelnomics Market Score ist **{{ top_city_names[0] }}** (Score: {{ top_city_market_score }}/100). Der Score kombiniert Bevölkerungsgröße, Anlagendichte und Datenqualität. Eine hohe Punktzahl deutet auf einen großen adressierbaren Markt mit validierten Preisdaten hin. Die beste Stadt für *Dein* Vorhaben hängt aber von Faktoren wie Flächenverfügbarkeit, lokalem Wettbewerb und Deiner Zielgruppe ab. Nutze den Finanzplaner, um verschiedene Standorte durchzurechnen. +Unsere Spitzenstadt nach padelnomics Score ist **{{ top_city_names[0] }}**. Der Score bewertet Investitionspotenzial anhand von Versorgungslücken, Einzugsgebiet, Marktreife und Sportaffinität. Die beste Stadt für *Dein* Vorhaben hängt aber von Faktoren wie Flächenverfügbarkeit, lokalem Wettbewerb und Deiner Zielgruppe ab. Nutze den Finanzplaner, um verschiedene Standorte durchzurechnen.
@@ -124,23 +105,15 @@ Unsere Spitzenstadt nach padelnomics Market Score (wie {{ top_city_names[0] }}) haben in der Regel die umfassendsten Preisdaten, weil dort mehr Anlagen auf Playtomic gelistet sind. In unserem {{ country_name_en }}-Marktüberblick findest Du alle Städte nach Market Score sortiert. +Städte mit höherem padelnomics Score (wie {{ top_city_names[0] }}) haben in der Regel die umfassendsten Preisdaten, weil dort mehr Anlagen auf Playtomic gelistet sind. In unserem {{ country_name_en }}-Marktüberblick findest Du alle Städte nach Score sortiert.
-{% if avg_opportunity_score %} -
-Was ist der Unterschied zwischen Market Score und Opportunity Score? - -Der **Market Score (Ø {{ avg_market_score }}/100)** bewertet die Marktreife: Bevölkerungsgröße, bestehende Anlagendichte und Datenqualität. Der **Opportunity Score (Ø {{ avg_opportunity_score }}/100)** dreht die Logik um: Er misst Investitionspotenzial — Versorgungslücken, Einzugsgebiet und Tennisinfrastruktur als Proxy für Racket-Sport-Affinität. Für Standortentscheidungen ist die Kombination beider Scores am aussagekräftigsten: Hoher Opportunity Score bei niedrigem Market Score signalisiert White-Space-Chancen. Hoher Wert in beiden zeigt Märkte, in denen Nachfrage belegt ist und trotzdem noch offene Standorte existieren. -
-{% endif %} -
Du überlegst, eine Padelhalle in {{ country_name_en }} zu eröffnen? Rechne Dein Vorhaben mit echten Marktdaten durch → Zum Finanzplaner @@ -159,15 +132,9 @@ Der **Market Score (Ø {{ avg_market_score }}/100)** bewertet die Marktreife: Be
{{ city_count }}
-
padelnomics Market Score
-
{{ avg_market_score }}/100
-
- {% if avg_opportunity_score %} -
-
padelnomics Opportunity Score
+
padelnomics Score
{{ avg_opportunity_score }}/100
- {% endif %}
Median Peak Rate
{% if median_peak_rate %}{{ median_peak_rate | int }}{% else %}—{% endif %}{% if median_peak_rate and price_currency %}{{ price_currency }}/hr{% endif %}
@@ -176,19 +143,17 @@ Der **Market Score (Ø {{ avg_market_score }}/100)** bewertet die Marktreife: Be
-{{ country_name_en }} has **{{ total_venues }} padel venues** tracked across **{{ city_count }} cities**. The average padelnomics Market Score across tracked cities is **{{ avg_market_score }}/100**{% if avg_market_score >= 55 %} — a strong market with widespread venue penetration and solid pricing data{% elif avg_market_score >= 35 %} — a growing market with healthy city coverage{% else %} — an emerging market where early entrants can still capture prime locations{% endif %}. +{{ country_name_en }} has **{{ total_venues }} padel venues** tracked across **{{ city_count }} cities**. The average padelnomics Score is **{{ avg_opportunity_score }}/100** — {% if avg_opportunity_score >= 65 %}strong investment potential with meaningful supply gaps{% elif avg_opportunity_score >= 40 %}solid potential with room for new locations{% else %}a well-served market requiring careful site selection{% endif %}. ## Market Landscape -Padel is growing rapidly across {{ country_name_en }}. Our data tracks {{ total_venues }} venues — a figure that likely understates the true count given independent clubs not listed on booking platforms. The average padelnomics Market Score of {{ avg_market_score }}/100 across {{ city_count }} cities reflects both market maturity and data availability. +Padel is growing rapidly across {{ country_name_en }}. Our data tracks {{ total_venues }} venues — a figure that likely understates the true count given independent clubs not listed on booking platforms. The average padelnomics Score of {{ avg_opportunity_score }}/100 across {{ city_count }} cities evaluates investment potential based on supply gaps, catchment reach, market maturity, and sports culture. -{% if avg_market_score >= 55 %}Markets scoring above 55 typically show an established player base, reliable pricing data, and predictable demand patterns — all critical for sound financial planning. Yet even in mature markets, venue density per 100,000 residents varies significantly between cities, leaving genuine supply gaps even in established markets.{% elif avg_market_score >= 35 %}A mid-range score signals a growth phase: demand is proven, venue infrastructure is building, and pricing hasn't fully settled to competitive levels. This creates opportunities for well-positioned new entrants who can secure good locations before the market matures.{% else %}Emerging markets offer first-mover advantages — less direct competition, potentially better lease terms, and the opportunity to build a loyal player base before the market fills out. The trade-off is less pricing data and more uncertainty in demand projections.{% endif %} - -{% if avg_opportunity_score %}The average **padelnomics Opportunity Score of {{ avg_opportunity_score }}/100** shows how much investment potential remains untapped in {{ country_name_en }}. {% if avg_opportunity_score >= 60 and avg_market_score < 40 %}The combination of a high Opportunity Score and a moderate Market Score makes {{ country_name_en }} particularly attractive for new entrants: demand potential and sports culture are there, infrastructure is still building — first-mover conditions for well-chosen locations.{% elif avg_opportunity_score >= 60 %}Despite an already active market, locations with significant potential remain — particularly in mid-size cities and at the periphery of major metro areas.{% else %}Many locations in {{ country_name_en }} are already well-served. New projects need careful site selection and a clear differentiation strategy to compete.{% endif %}{% endif %} +{% if avg_opportunity_score >= 65 %}A score above 65 signals meaningful supply gaps alongside existing demand. Even in regions with established padel infrastructure, venue density per 100,000 residents varies significantly between cities — local analysis pays off.{% elif avg_opportunity_score >= 40 %}A mid-range score signals a growth phase: demand is proven, venue infrastructure is building, and well-positioned locations still offer opportunities for new entrants.{% else %}Many locations in {{ country_name_en }} are already well-served. New projects need careful site selection and a clear differentiation strategy to compete.{% endif %} ## Top Cities in {{ country_name_en }} -Cities are ranked by padelnomics Market Score — a composite of population size, venue density, and data quality. Higher-scoring cities generally offer larger addressable markets and more reliable benchmarks for financial planning. +Cities are ranked by padelnomics Score — evaluating investment potential based on supply gaps, catchment reach, market maturity, and sports culture. Higher-scoring cities generally offer the strongest conditions for new facilities. | City | Market Analysis | |------|----------------| @@ -197,17 +162,6 @@ Cities are ranked by padelnomics Market Score is **{{ top_city_names[0] }}** (score: {{ top_city_market_score }}/100). The padelnomics Market Score combines population size, existing venue density, and data quality — a high score indicates a large addressable market with validated pricing data. However, the best city for *you* depends on land availability, local competition, and your target customer profile. Use the financial planner to model different locations side by side. +Our top-ranked city by padelnomics Score is **{{ top_city_names[0] }}**. The score evaluates investment potential based on supply gaps, catchment reach, market maturity, and sports culture. However, the best city for *you* depends on land availability, local competition, and your target customer profile. Use the financial planner to model different locations side by side.
@@ -258,23 +212,15 @@ Our top-ranked city by padelnomics Market Scores (like {{ top_city_names[0] }}) typically have the most comprehensive pricing data, because more venues are listed on Playtomic. Browse our {{ country_name_en }} market overview to see all cities ranked by padelnomics Market Score. +Cities with higher padelnomics Scores (like {{ top_city_names[0] }}) typically have the most comprehensive pricing data, because more venues are listed on Playtomic. Browse our {{ country_name_en }} market overview to see all cities ranked by score.
-{% if avg_opportunity_score %} -
-What is the difference between Market Score and Opportunity Score? - -The **Market Score (avg. {{ avg_market_score }}/100)** measures market maturity: population size, existing venue density, and data quality. The **Opportunity Score (avg. {{ avg_opportunity_score }}/100)** inverts that logic: it scores investment potential based on supply gaps, catchment reach, and tennis infrastructure as a proxy for racket sport demand. For site selection, the combination of both scores is the most informative signal. A high Opportunity Score with a low Market Score points to white-space locations. High on both means proven demand with open sites still available. -
-{% endif %} -
Considering a padel center in {{ country_name_en }}? Model your investment with real market data → Open the Planner