The Devils owned this game by the underlying numbers and still lost 3-1. Buffalo's expected-goals deficit (2.88–3.34) looked like a scoreline-in-waiting, and for most of the night, that's how it played. The divergence came down to one variable: net-minding.

U. Luukkonen turned in one of those performances that rewrites a game's story. He stopped 2.34 goals above his expected save rate, meaning the Devils' high-quality chances — 3 each, matched perfectly with Buffalo — found no daylight. Across 26 saves on 27 shots, he didn't just prevent goals; he denied the Devils the finish their xG suggested they'd earned. J. Allen, for New Jersey, saved 0.88 above expected but couldn't bridge the gap.

The Devils controlled possession (52% of shot attempts, 27–25 on goal) and crashed the net methodically: 4 rebound chances, 0 conversions. Buffalo played looser — lethal on the rush with 2 goals on 16 chances — and converted when it mattered. Peyton Krebs's wrist shot from the slot decided it.

This was a game where the scoreboard and the analytics disagreed sharply. New Jersey played the smarter game and walked away with the loss. That's goaltending's power: one save or one soft goal swings entire metrics.

The model projects a 2.5 to 2.6 goal margin with New Jersey favored at 52% to win—a genuine coin flip.

Buffalo's record over the last 10 (7-3-0) masks an ugly goal differential (minus-10). The Sabres are banking points despite being outshot. New Jersey is simply underwater.

The five-on-five picture suggests parity. Both teams sit at exactly 50.0% expected goals share. Buffalo's Corsi is 49.0%, New Jersey's is 51.0%—a gap thin enough to ignore.

But PDO diverges significantly. Buffalo's 1.020 runs hot; New Jersey's 0.971 runs cold. Regression favors the Devils.

Both J. Markstrom and A. Lyon are on back-to-backs, so watch for a backup start or a tired starter.

Jason Zucker drives Buffalo at 1.07 expected goals per 60, with 14 goals, 14 assists, and 6 high-danger chances. His 15.1% conversion rate will pull back. Josh Doan (1.01 xG/60, 15G 18A, 11.5% shooting) reaches the same goal total on volume, though he has just 2 high-danger conversions.

New Jersey's Timo Meier (1.08 xG/60, 13G 15A, 6.7% shooting) edges Zucker in expected output but owns only 3 high-danger goals. Jack Hughes rides volume—18 goals on 0.88 xG/60—while matching Doan's 11.5% shooting despite a single high-danger goal all season.

Buffalo's Jack Quinn and New Jersey's Johnathan Kovacevic represent defensive liabilities.

These shooting rates are unsustainable. The PDO gap is the real story. Back New Jersey.