From 55d6c0ef15bf96624f1b05a97793d5290b1cbfad Mon Sep 17 00:00:00 2001 From: Deeman Date: Thu, 26 Feb 2026 20:14:37 +0100 Subject: [PATCH] =?UTF-8?q?feat(template):=20add=20opportunity=5Fscore=20t?= =?UTF-8?q?o=20country-overview=20=E2=80=94=20stats=20strip,=20landscape,?= =?UTF-8?q?=20top-opp=20cities,=20FAQ?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Both DE + EN language variants. All additions wrapped in {% if avg_opportunity_score %} guards for graceful degradation. Changes per language: - Stats strip: avg Opportunity Score as 5th item (with auto-fit CSS now supporting this) - Market Landscape section: paragraph on opportunity interplay (high opp + low market = first-mover signal; high both = proven demand + open sites) - New section: "Top Locations by Investment Potential" — table of top_opportunity_names (distinct from top Market Score cities) - New FAQ: explains Market Score vs Opportunity Score difference (avg values used) DE copy written with linguistic mediation — native investor register, Du-form. Co-Authored-By: Claude Opus 4.6 --- .../templates/country-overview.md.jinja | 54 +++++++++++++++++++ 1 file changed, 54 insertions(+) diff --git a/web/src/padelnomics/content/templates/country-overview.md.jinja b/web/src/padelnomics/content/templates/country-overview.md.jinja index e82bdb2..c8a5074 100644 --- a/web/src/padelnomics/content/templates/country-overview.md.jinja +++ b/web/src/padelnomics/content/templates/country-overview.md.jinja @@ -28,6 +28,12 @@ priority_column: total_venues
padelnomics Market Score
{{ avg_market_score }}/100
+ {% if avg_opportunity_score %} +
+
padelnomics Opportunity 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 %}
@@ -42,6 +48,8 @@ Padel wächst in {{ country_name_en }} mit bemerkenswertem Tempo. Unsere Daten z {% if avg_market_score >= 65 %}Märkte mit Scores über 65 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 >= 40 %}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 < 50 %}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 %} + ## 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. @@ -53,6 +61,17 @@ Die Rangfolge basiert auf dem 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. +{% 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 @@ -133,6 +160,12 @@ Städte mit höherem padelnomics Market Score
{{ avg_market_score }}/100
+ {% if avg_opportunity_score %} +
+
padelnomics Opportunity 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 %}
@@ -147,6 +180,8 @@ Padel is growing rapidly across {{ country_name_en }}. Our data tracks {{ total_ {% if avg_market_score >= 65 %}Markets scoring above 65 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, pointing to pockets of underserved demand.{% elif avg_market_score >= 40 %}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 < 50 %}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 %} + ## 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. @@ -158,6 +193,17 @@ Cities are ranked 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. +{% 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