Three close projections give November 6’s NHL slate a strong dose of uncertainty. The headline is a Pacific Division meeting between the Anaheim Ducks and Calgary Flames, but the night also features two Eastern and Western Conference tests where a few high-impact performances could shape the story.
At 8-8, Anaheim arrives with a slightly better record than Calgary’s 7-9, yet the market favors the home side. GameSim sees a narrow edge the other way: the Ducks win 52% of 200 simulations, with a projected 3.6-3.3 score. That small margin makes this a matchup where the details matter—and where the model’s prediction is far from a runaway call. Explore the Ducks-Flames prediction.
Anaheim’s attack could run through Leo Carlsson, projected for 1.2 assists and 1.5 points, while defenseman Jackson LaCombe is also forecast to contribute heavily as a playmaker, with 1.3 assists. Cutter Gauthier’s projected 0.8 goals gives the Ducks another potential source of finishing. Calgary’s Matthew Coronato is projected for 1.0 assist, with Joel Farabee and Morgan Frost also on the board. For the Flames, turning those supporting contributions into a steady attack will be a key part of the challenge.
Buffalo and Columbus: a one-goal kind of test
The Columbus Blue Jackets and Buffalo Sabres are both near the .500 mark, with Columbus at 7-7 and Buffalo at 7-8. Vegas favors Buffalo, but GameSim gives Columbus a 52% win probability across 200 simulations and projects a 3.2-2.9 result. It’s another narrow disagreement between the model and market, setting up an intriguing Eastern Conference matchup. See the Columbus-Buffalo prediction.
Buffalo’s Tage Thompson leads the featured projections with 0.9 goals, 0.6 assists and 1.5 points. Zach Benson is forecast for 1.1 points, while Columbus can look to Zach Werenski and Charlie Coyle, each projected for 0.9 assists. If the game follows the model’s close score, those playmaking contributions could be especially important.
Minnesota’s deeper record meets San Jose’s challenge
The San Jose Sharks travel to face the Minnesota Wild, whose 11-6 record stands out against San Jose’s 7-10. GameSim projects Minnesota to win 3.7-2.6 and assigns the Wild a 57% chance across 200 simulations. That’s the strongest model edge among these three games, though San Jose’s projected offense gives the visitors room to make it competitive. Review the Sharks-Wild prediction.
Minnesota’s projected contributors include Quinn Hughes at 1.2 points, with Joel Eriksson Ek and Kirill Kaprizov each forecast for 1.1. Macklin Celebrini leads San Jose’s listed projections at 0.9 points. Detailed projected player stats for all games are available exclusively to GameSim+ subscribers. Learn more and subscribe to GameSim+.
