J. Korpisalo stole this game. The Bruins beat the Flames 4-1. Korpisalo's 0.966 save percentage (28/29) and +2.1 goals above expected made the difference. At 5v5, the Bruins controlled 56% of expected goals (3.99–3.10). They also held 51% of shot attempts (30–29). This framework suggested a close game, yet the Flames underperformed their expected goals by 2.1. They squandered their 3 high-danger chances against Boston's 7.

Bruins offensive efficiency compounded the goaltending gap. They converted 3 of 24 rush attempts, exploiting transition play. They generated 10 rebound opportunities, converting one. Twice they scored from low-danger spots, moments that demand exceptional play from the opposing goalie.

S. Kuraly led the attack with 1 goal and 1 assist in 14:28. T. Jeannot created chances with 2 assists in 12:23. C. McAvoy contributed 1 assist in 24:01. For Calgary, D. Wolf's 0.867 save percentage on 26 of 30 shots could not overcome Boston's execution and Korpisalo's play.

The models call this a genuine pick'em. The projection sits at 2.5–2.7 goals for each team, with Boston holding just 53% win probability. This is as close to even money as playoff positioning gets.

Recent form favors Boston. The Bruins have fallen to -10 goal differential over their last 10 games, a skid that raises questions about their trajectory. Yet at even strength over the full season, they match Calgary exactly: 47.0% expected goals and 49.0% Corsi. The divergence emerges in PDO. Boston's marks 1.023, suggesting they're cashing in above their chances and theoretically due for regression. Calgary sits at 0.985, running cold and primed for positive variance. When two teams share identical underlying shot metrics, luck becomes the only variable—and luck reverts.

Watch J. Swayman's workload. The Bruins' starter is on a back-to-back, which could result in a backup start or a tired No. 1 between the pipes. Both scenarios offer Calgary an opening.

The forwards will decide this game. Blake Coleman leads Calgary at 0.89 xG per 60 with 16 goals and 12 assists, accumulating two high-danger chances while sustaining an 11.4% shooting rate. That rate only persists if his shot quality is genuinely elite. Matt Coronato generates at 0.80 xG per 60 with 10 goals and 16 assists, but his 6.6% shooting rate lags his opportunity, a volume-to-results mismatch that typically corrects.

Boston's Viktor Arvidsson counters decisively at 1.04 xG per 60 with 18 goals and 24 assists, two high-danger markers, and a 13.0% shooting rate that reflects skill rather than variance alone. Tanner Jeannot sits at 0.75 xG per 60 with 6 goals and 14 assists, including two high-danger chances, converting at 8.3%. Boston's forwards have been efficient with their volume. Neither team has generated meaningful high-danger or rebound goals, meaning all scoring flows through primary chances—and those are scarce.

The central contest: Blake Coleman against Elias Lindholm, Boston's defensive liability. Arvidsson against Matt Coronato, Calgary's defensive weakness. Both pairings carry clear advantage; both could pivot the outcome.

Recent momentum says Boston. Underlying metrics say even money. PDO regression gives Calgary a theoretical case. Pick your bias. In a game this close, you're not predicting the outcome—you're guessing which component of the model proves accurate first.