About the Competition
Student teams will use a simulated data set featuring a season of fictional World Hockey League (WHL) game stats to rank teams heading into a WHL tournament and then predict how teams will perform in tournament play.
Students will receive a complete regular season of WHL data that includes team statistics that inform decision-making. Based on the regular season game results, student teams will report WHL team power rankings, predicted tournament matchup outcomes, key ice hockey performance stats, and data visualizations.
The full competition will take part in 3 phases, as listed below:
Submission and Scoring
- Phase 1: Initial submissions will be auto-scored and/or graded.
- Phase 2: Semifinalists’ detailed submissions will be reviewed and scored by a defined rubric.
- Phase 3: The top 5 teams present via Zoom live to judges. Judges deliberate and announce 1st, 2nd, and 3rd place winners.