Alex Newhook scored twice in Montreal's 6-2 victory over Buffalo, extending a season-long pattern that challenges conventional analytics. The expected goals model says Newhook should have 7.5 goals this season. He has 13. Over 42 games and 565 minutes of ice time, that 5.5-goal surplus represents more than random variance.
The uncomfortable part for analytics advocates: Newhook's underlying numbers remain poor. His 43% on-ice expected goals percentage at five-on-five means Montreal gets outchanced in shot quality when he's playing. His off-ice mark sits at 51%, meaning the Canadiens control more dangerous chances when he's on the bench. Yet he keeps scoring, and Montreal keeps winning with a 2-1 series lead.
The question isn't whether regression will eventually arrive. The question is what Montreal's coaching staff has identified about Newhook's game that the models can't measure, and whether Buffalo can adjust before this series slips away.
What the Box Score Shows
Montreal controlled the game's flow after Tage Thompson gave Buffalo an early lead 53 seconds into the first period. Newhook tied it at 15:31 of the opening frame, assisted by Jake Evans. The Canadiens then scored three consecutive goals in the second period before Rasmus Dahlin answered on the power play at 14:46.
Kirby Dach extended Montreal's lead to 5-2 at 8:46 of the third period, and Newhook added his second goal at 15:14 to complete the scoring. At that point, Montreal led 6-2, which was the final score.
The scoring sequence matters because it shows Montreal's ability to generate offense in waves. After Thompson's opening goal, the Canadiens scored three straight (Cole Caufield on the power play at 6:05, Zachary Bolduc at 10:43, and Juraj Slafkovsky on the power play at 12:17 of the second period). Buffalo interrupted with Dahlin's goal, then Montreal closed with two more.
Montreal outshot Buffalo 36-28 and won 38 of 61 faceoffs (62.3%). The Canadiens scored twice on the power play, with Caufield and Slafkovsky converting. Jakub Dobes made 26 saves on 28 shots for Montreal, while Alex Lyon stopped 31 of 37 for Buffalo.
Deployment That Minimizes Exposure
Newhook isn't playing top-line minutes or drawing Buffalo's best matchups. He took two shots and scored on both, playing a limited role that extracts production without extended exposure to defensive breakdowns. His goals came at 15:31 of the first period to tie the game 1-1, and at 15:14 of the third with Montreal already leading 5-2.
Evans, who assisted on both Newhook goals, has similarly poor underlying numbers with a 38% on-ice expected goals percentage, the lowest among Montreal's regulars. Yet the pairing keeps producing in sheltered minutes.
The contrast with other players at similar finishing levels is instructive. Alexandre Carrier is plus-4.1 goals versus expected this season despite a 39% on-ice expected goals percentage, suggesting Montreal has built a system that rewards speed and disruption over sustained possession. Meanwhile, players like Bolduc (minus-3.1 goals versus expected with a 56% on-ice expected goals percentage) generate better shot quality but don't finish at the same rate.
The Faceoff Advantage
Montreal's 62.3% faceoff win rate created offensive zone possessions before Buffalo's defense could establish structure. When you control possession off the draw and send forwards into the offensive zone quickly, you create opportunities in transition that don't register as high-danger in traditional models.
A wrist shot from the slot typically carries a certain expected goals value based on distance and angle. But that calculation assumes average defensive pressure. If the defenseman is recovering from a turnover and the goalie is adjusting his angle late, the same shot becomes more dangerous than the model suggests.
Lyon allowed six goals on 36 shots, a .833 save percentage that put Buffalo in a difficult position. Dobes posted a .929 save percentage on the other end, stopping 26 of 28. The three-goal difference in goaltending performance shaped the final margin.
Buffalo's Special Teams Breakdown
Montreal's power play scored twice, with Caufield and Slafkovsky converting in the second period. The Canadiens' power play ranks at 23.3% on the season compared to Buffalo's 19.5%, and that gap showed in Game 3.
Buffalo managed one power-play goal when Dahlin scored at 14:46 of the second period, assisted by Thompson and Josh Doan. But the Sabres couldn't generate enough special teams offense to match Montreal's output.
Thompson's opening goal, a rebound off Dahlin's point shot, showed Buffalo can execute when given structure. Dahlin's power-play goal later extended his playoff total to four, approaching Gilbert Perreault's franchise single-postseason record of five set in 1976. But when Montreal controls draws and generates offensive zone time, Buffalo's defense struggles to contain the pressure.
The Limits of the Model
Expected goals models are built on thousands of shots from structured play. They measure distance, angle, traffic, and shot type under the assumption that both teams are playing within a system. What they struggle to capture is when one team deliberately manufactures chaos, trading shot quality for disruption.
Newhook's 173% finishing rate won't last forever. Regression exists, and players who outperform their expected goals totals by this margin eventually return to baseline. But through three playoff games, Montreal has found a way to extract production from players whose underlying metrics suggest they should be liabilities.
The Canadiens lead this series 2-1 despite possessing inferior shot quality metrics in aggregate. Buffalo holds better expected goals numbers but trails in the series. That gap represents either sustainable system advantages that models don't capture, or variance that will eventually correct.
For now, Montreal keeps winning with a formula that defies conventional analysis. Newhook keeps scoring despite poor possession numbers. Evans keeps assisting despite worse underlying metrics. And Buffalo keeps searching for adjustments that can slow a system built on speed and disruption rather than sustained control.
The series shifts back to Buffalo for Game 4, where the Sabres will need to solve Montreal's transition game or risk falling into a 3-1 deficit. The expected goals model says Buffalo should be competitive. The scoreboard says Montreal has found something the model can't measure.