Columbus controlled play decisively—56% of expected goals at 5v5 (4.69–3.72)—but needed overtime to settle it. Miles Wood's tip-in from the doorstep at 02:53 OT gave the Blue Jackets a 4-3 win, and the underlying numbers bore it out. Buffalo generated 3.72 expected goals but scored just 3, a 0.72-goal shortfall that proved decisive.

The Sabres were clinical in the high-danger zone (2 of 5 chances, 40%) but couldn't generate enough volume. Columbus countered with rush dominance, converting 3 of 29 chances—an efficiency that separated the teams. Both goalies overperformed their expected save percentages: J. Greaves made 35 of 38 (0.921 SV%, +0.72 vs expected), and A. Lyon stopped 35 of 39 (0.897 SV%, +0.69 vs expected). Greaves' team just had better finishing when it mattered.

The model projects a 2.6–2.6 game with Buffalo at 50% win probability. This is about as close to a pick'em as you'll find.

Columbus leads slightly in underlying possession: 52.0% expected-goals share and 51.0% Corsi compared to Buffalo's 50.0% xG% and 49.0% Corsi. The gap is marginal—what separates this from a true toss-up is regression risk. Buffalo's 1.020 PDO suggests they're running hot; Columbus sits at 1.003, indicating more sustainability. Expect some correction.

The Sabres' scoring load falls on Jason Zucker and Josh Doan. Zucker has generated 1.07 xG per 60 minutes with 14 goals and 14 assists, though 6 of those goals came from high-danger chances at a 15.1% shooting rate. Doan adds 15 goals and 18 assists on 1.01 xG/60, with 2 HD goals and an 11.5% shooting clip. Both are running at elevated efficiency.

Columbus counters with Boone Jenner, who carries 0.98 xG/60 and has posted 11 goals and 21 assists, including 2 HD goals at 9.6% shooting. Mathieu Olivier complements him with 12 goals and 9 assists on 0.89 xG/60; his 13.3% shooting rate is among the team's highest. Neither Blue Jacket ranks elite in danger scoring, but both maintain consistent offensive generation.

Defensively, both teams share a critical weakness: neither has converted high-danger chances into secondary scoring, with 0% rebound-goal rates. Columbus's Conor Garland and Buffalo's Jack Quinn both represent soft spots in their defensive structures. The team that better capitalizes on its opposition's defensive lapses could break the statistical deadlock.