The 5-3 scoreline flattered Tampa Bay. New Jersey controlled 62% of five-on-five expected goals (3.93–2.37), built that advantage on 31 shot attempts to 17, and commanded the quality of opportunity—0.061 expected goals per shot versus Tampa's 0.044. The Lightning needed their goalie to save the game; instead, A. Vasilevskiy let in 1.07 goals more than expected, widening a gap that already existed.

New Jersey's win came as predicted. They outshot Tampa 31–17, dominated high-danger chances 5–2, and converted cleanly on quality looks. Darren Raddysh's wrist shot from the top of the circles (third period, 16:17) proved the turning point. The Devils' rush game was particularly lethal—four goals on 30 attempts, compared to Tampa's three goals on 19 chances. Both teams generated rebound opportunities, but New Jersey finished them more often.

The underlying efficiency told the story. New Jersey overperformed their expected goals by 1.07—a rare edge in possession hockey. J. Markstrom posted a 0.824 save percentage but also underperformed, allowing 0.63 more goals than expected. A. Vasilevskiy's 0.839 mark looked respectable until adjusted for quality—a full goal worse than it should have been, leaving Tampa short.

Tampa Bay's two low-danger goals represented the kind of mistakes opposing goalies are supposed to prevent. For New Jersey, the game confirmed what the analytics suggested: a control win so decisive that even a close scoreline understates it.

Tampa Bay has the model's lean in this matchup. MoneyPuck's 5v5 models project a 2.4–2.7 goal spread with the Lightning at 56% win probability, a meaningful edge that reflects their underlying superiority.

The models are built on a simple fact: Tampa Bay is the hotter team by points pace, posting a 6-2-0 record in their last ten games. More than just wins, this suggests something steadier in the underlying play.

The season numbers confirm it. Tampa Bay's 54.0% xG to New Jersey's 50.0% means the Lightning generate more scoring chances at even strength, and their 53.0% Corsi to the Devils' 51.0% shows the same advantage in possession metrics. Tampa Bay owns the underlying play.

But this is where regression lives. Tampa Bay's 1.019 PDO indicates they're benefiting from shooting luck—converting more of their chances than they likely will over time. New Jersey sits at 0.971 PDO, running cold and due for a positive correction. One team's heat will cool; the other's chill will break.

On the player level, both teams carry scorers whose volume masks a divergence between chance generation and actual results. For New Jersey, Timo Meier (13G 15A) generates 1.08 xG per 60 minutes while shooting just 6.7%, a rate that will climb. Jack Hughes (18G 17A) runs 11.5% shooting on 0.88 xG per 60—his goal pace has outpaced his actual chance creation.

Tampa Bay's edge sharpens here. Brandon Hagel (23G 26A) sits at 1.10 xG per 60 with an elite 15.8% shooting rate. Anthony Cirelli (15G 18A) is both high-volume (0.95 xG per 60) and highly efficient (17.0% shooting), the kind of player who compounds an existing advantage.

The gap between what the models see and what the scoreboard shows is the story here: Tampa Bay deserves to be favored, but the underlying play suggests mean reversion ahead.

Three Things to Watch

• Tampa Bay owns the underlying play—54.0% 5v5 xG versus 50.0%.
• The Lightning are the hotter team by points pace (6-2-0 in their last ten).
• Tampa Bay's 1.019 PDO suggests regression is likely coming.