Indian Super League predictions present specific challenges for AI models: a short season (20+ matches per team), significant squad turnover between seasons, and a smaller historical data sample than top European leagues. However, the ISL's franchise structure and salary caps create predictable competitive balance that statistical models can exploit — the gap between top and bottom clubs is more stable than in open-transfer leagues.
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