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 2263
Kabdalis
Kabdalis is best understood as a weather-sensitive lower mountain: lower elevation and/or weaker snow-reliability evidence imply greater dependence on favourable weather cycles.
Weather-sensitive lower mountainSwedenTop 570 mSupportive current weatherLower current weather risk
Current evidence96.7/100
Opportunity97.8/100
Caution8.6/100
Confidence49%
Since the last update
The current read changed, but not in one direction.
Confidence strengthened. Evidence quality changed.
Confidence strengthened +49Evidence quality changedWeather window changed
What the network means
Compare Kabdalis by question, not by one generic similarity score.
Kabdalis is best understood as a weather-sensitive lower mountain: lower elevation and/or weaker snow-reliability evidence imply greater dependence on favourable weather cycles.
Resort network
Structurally similar mountains
The closest match in altitude, terrain mix, scale, aspect and snow-reliability evidence.
Norway
82.8%SimilarityKongsberg
Similar altitude, terrain mix, scale and reliability.
Finland
79%SimilarityRuka
Similar altitude, terrain mix, scale and reliability.
Norway
76.9%SimilarityOslo Skisenter
Similar altitude, terrain mix, scale and reliability.
Norway
76.5%SimilarityHarpefossen
Similar altitude, terrain mix, scale and reliability.
Norway
76.3%SimilaritySauda
Similar altitude, terrain mix, scale and reliability.
Sweden
75.9%SimilarityDundret
Similar altitude, terrain mix, scale and reliability.
Resort network
Same personality
Different ski areas sharing the same dominant structural archetype.
Norway
90.3%SimilarityOslo Skisenter
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Sweden
89.9%SimilarityDundret
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Finland
89.4%SimilaritySalla
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Norway
89.1%SimilarityTryvann
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Sweden
88%SimilarityBjorkliden
Same dominant resort personality with overlapping secondary traits and comparable mountain structure.
Finland
87.4%SimilarityIso Syote
Same dominant resort personality with a comparable personality signature and mountain structure.
Resort network
Long-run snow peers
Comparable historical snow-reliability and upper-mountain context.
Switzerland
90.3%SimilarityGreifensee
Comparable long-run snow reliability and upper-mountain altitude.
Finland
88.3%SimilarityYllas
Comparable long-run snow reliability and upper-mountain altitude.
Norway
85.7%SimilarityKongsberg
Comparable long-run snow reliability and upper-mountain altitude.
Sweden
85.4%SimilarityTarnaby
Comparable long-run snow reliability and upper-mountain altitude.
Norway
83.7%SimilarityKvamskogen
Comparable long-run snow reliability and upper-mountain altitude.
Austria
83.6%SimilarityBad Häring
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