Buffalo obliterated Columbus 5-0 while getting outchanced 58-42 in expected goals—the kind of scoreline that makes xG models question their purpose. The Blue Jackets created 3.78 expected goals to Buffalo's 2.69, but found themselves on the wrong end of a 5-0 mercy.

C. Ellis, Buffalo's goaltender, accounted for nearly all of the gap. He stopped 37 of 37 shots—a 1.000 save percentage—while playing 3.78 goals above his expected level. When a goalie saves four additional goals beyond model expectations in a single night, the scoreboard tells one story and the underlying metrics tell another. Ellis was the only reason this wasn't Columbus's night.

The Blue Jackets couldn't solve a simple problem: they generated quality chances but converted none. They were 0 for 6 on high-danger opportunities; Buffalo countered with 3 goals on 5 such chances, a 60% efficiency rate. High-danger conversion isn't usually this lopsided. Greaves surrendered 1.31 more goals than expected despite facing 23 shots—an unlucky workload distribution.

Buffalo's dominance came from a different dimension. They scored four goals on 25 rush chances and orchestrated the attack through L. Stanley, who recorded two assists in just 16:19 of ice time. J. Doan finished with two goals in 14:42; J. Norris added two assists in 14:36.

The turning point arrived in the first period when Rasmus Dahlin's sharp-angle wrist shot—P3, 16:55—beat Greaves clean. It was prescient: Buffalo would make every difficult opportunity count while Columbus's cleaner looks bounced away empty.

The models can't separate them. The projection is 2.6–2.6 with Buffalo at 50% win probability—the definition of a pick'em.

The underlying numbers confirm it. Columbus has 52.0% of the expected-goals share and 51.0% of the Corsi; Buffalo has 50.0% and 49.0%. The matchup is dead even at 5v5.

One caveat: Buffalo's PDO is 1.020, the mark of a team running hot. Regression is coming for the Sabres.

Key Players

Columbus: Boone Jenner drives at 0.98 xG/60, with 11 goals and 21 assists. His 9.6% shooting is respectable, but just 2 high-danger goals. Mathieu Olivier adds 0.89 xG/60, 12 goals and 9 assists, with 1 high-danger goal and an efficient 13.3% shooting rate.

Buffalo: Jason Zucker contributes 1.07 xG/60, 14 goals and 14 assists at 15.1%, including 6 high-danger goals. Josh Doan adds 1.01 xG/60, 15 goals and 18 assists at 11.5%, but only 2 high-danger goals.

The Decider

The soft spots matter. Conor Garland is a liability for Columbus; Jack Quinn for Buffalo. With possession and conversion metrics essentially tied—save for Buffalo's unsustainable PDO—the team that avoids breakdowns in those zones will win.