Connected mountain intelligence
Resort Network
Compare ski resorts through structural peers, live weather twins, snow-history peers, contrasts and practical alternatives.
Ski areas1,049
Relations18
SeasonShoulder season
UpdatedThu 13:15
One starting resort, three comparison questions
Choose the relationship before you choose the alternative.
Use stable structure when you want a comparable mountain, current-condition relationships when you want to understand today’s difference, and alternative links when you need a practical fallback.
Current network focus · ski area 402
Hovden
Hovden is best understood as a family progression base: easier terrain, moderate gradients and usable access make progression the strongest structural story.
Family progression baseNorwayTop 1,183 mSupportive current weatherLower current weather risk
Current evidence96.2/100
Opportunity97.5/100
Caution11.8/100
Confidence82%
What the network means
Compare Hovden by question, not by one generic similarity score.
Hovden is best understood as a family progression base: easier terrain, moderate gradients and usable access make progression the strongest structural story.
Resort network
Structurally similar mountains
The closest match in altitude, terrain mix, scale, aspect and snow-reliability evidence.
Norway
90%SimilarityGeilo
Similar altitude, terrain mix, scale and reliability.
Norway
88.1%SimilarityRauland
Similar altitude, terrain mix, scale and reliability.
Czech Republik
83%SimilarityKlinovec
Similar altitude, terrain mix, scale and reliability.
Norway
80.8%SimilaritySkeikampen
Similar altitude, terrain mix, scale and reliability.
Sweden
79.7%SimilarityLindvallen
Similar altitude, terrain mix, scale and reliability.
Sweden
79.5%SimilarityLofsdalen
Similar altitude, terrain mix, scale and reliability.
Resort network
Same personality
Different ski areas sharing the same dominant structural archetype.
Norway
95.8%SimilarityGeilo
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Norway
95%SimilarityRauland
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Czech Republik
92.9%SimilarityKlinovec
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Sweden
91.5%SimilarityLindvallen
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Sweden
91.4%SimilarityLofsdalen
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Czech Republik
91.3%SimilarityLysa Hora
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Resort network
Long-run snow peers
Comparable historical snow-reliability and upper-mountain context.
Norway
99.5%SimilarityGeilo
Comparable long-run snow reliability and upper-mountain altitude.
Norway
97%SimilarityRauland
Comparable long-run snow reliability and upper-mountain altitude.
Norway
96.1%SimilarityGala
Comparable long-run snow reliability and upper-mountain altitude.
Austria
95.9%SimilaritySankt Martin am Tennengebirge
Comparable long-run snow reliability and upper-mountain altitude.
Norway
95.8%SimilarityHaukelifjell
Comparable long-run snow reliability and upper-mountain altitude.
Norway
95.8%SimilaritySkeikampen
Comparable long-run snow reliability and upper-mountain altitude.
How relationships stay interpretable
Stable structure and live conditions refresh independently.
A resort can remain a structural twin while becoming a poor condition twin today. Keeping those layers separate makes the relationship explainable and prevents short-lived weather from rewriting the mountain itself.
02 hstructural graph freshness
05 minlive overlay freshness
0public graph-build SQL