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Kings vs. Canucks: O/U 4.5
100% final price — Over
Resolution date: April 15, 2026 at 2:00 AM UTC
Event cluster: Kings vs. Canucks
Topic: Hockey
24-hour volume: $0
Total liquidity: $0
Resolution criteria: In the upcoming NHL game, scheduled for April 14 at 10:00 PM ET: This market will resolve to "Over" if the Kings and Canucks combine to score 5 or more goals in this game. If the combined total is less than 5, this market will resolve to "Under". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods and shootouts. In the event of a shootout, one goal will be added to the winning team's score for the purpose of resolution.
Related markets from this event:
Last refreshed: April 16, 2026 at 3:15 AM UTC
Kings vs. Canucks: O/U 4.5 resolved Over at 100% on Polymarket. Settled Apr 15, 2026. Part of Kings vs. Canucks. $602 total volume traded.
100¢
Archived metadata only
Outcome
Over
Apr 15, 2026
Final
100¢
100%
Archive price path
No archived price path available
Archive overview
Outcome
Over
Total volume
$602
Liquidity
$0
Resolved
Apr 15, 2026
Settlement logic
In the upcoming NHL game, scheduled for April 14 at 10:00 PM ET: This market will resolve to "Over" if the Kings and Canucks combine to score 5 or more goals in this game. If the combined total is less than 5, this market will resolve to "Under". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods and shootouts. In the event of a shootout, one goal will be added to the winning team's score for the purpose of resolution.
Same event markets
Source
supabase-shell
Last refreshed
April 16, 2026 at 3:15 AM UTC
State
Primary · live · primary
Ranking logic
/research/methodologyData caveat
Thin books and wide spreads can distort price precision