The 6–2 scoreline flattered Calgary. Expected goals split nearly evenly—2.92–2.39 for the Flames—yet Calgary's finishing outpaced its underlying play while Buffalo's goaltending collapsed.

Calgary overperformed its expected goals by 3.08. D. Cooley stopped 28 of 30 shots (0.933 SV%), but Buffalo scored 2 from low-danger spots; those are the saves that decide margins. Worse: C. Ellis faced 35 shots and registered −3.08 expected performance, giving up nearly a full game's worth of surplus goals. Ellis stopped just 29.

The underlying play suggested a tighter affair. Buffalo controlled 46% of shot attempts (30–35 on goal) and generated high-danger chances at 1–4. Calgary's edge came from finishing system: four goals on 27 rush chances. Buffalo generated four rebound opportunities and converted none—crashing the net without result.

R. Andersson anchored Calgary's advantage with 1 goal and 2 assists in 23:51, performing the two-way discipline of a player in command. J. Farabee added 2 goals in 18:27, operating in transition. Buffalo's M. Samuelsson posted 1 goal and 1 assist in 22:44—activity enough to register but insufficient against Calgary's execution.

This was a game divided by goaltending performance and finishing precision. One team converted; the other did not. When 6–2 and near-even underlying metrics coexist, one team's technical execution in both ends has run sharply hot.

The model calls 55% Sabres, a 2.5–2.7 goal spread. This is as close to a pick-'em as you'll find.

Where underlying play leaves off. Buffalo controls the expected-goals battle, 50.0% to Calgary's 47.0%, but both teams sit at 49.0% Corsi%, meaning shot volume is nearly even despite Buffalo's marginal edge in quality. Over their last ten games, Calgary is -5 in goal differential; Buffalo is -9. The Sabres possess structural superiority but recent execution has abandoned them.

PDO regression is the leveler. Buffalo's 1.020 PDO means it's finishing at an unsustainable rate—luck is inflating its record. Calgary's 0.985 sits below expectation, luck deflating its results. Regression theory says the Sabres have room to fall and the Flames room to rise. That invisible edge works against Buffalo's favorites status.

Rest and goaltending. Buffalo arrives on one day of rest; Calgary had three. That's measurable. C. Ellis is on a back-to-back, so a backup start or tired starter is possible—either way, an advantage for the Flames.

The scorers. Blake Coleman leads Calgary with 16 goals on 0.89 expected goals-per-60, but his 11.4% shooting rate suggests his finish is running hot. Matt Coronato (10 goals, 0.80 xG/60) is stuck at 6.6% shooting—well below his talent line, positive regression pending. Jason Zucker (1.07 xG/60, 14 goals) generates elite volume for Buffalo. Josh Doan (1.01 xG/60, 15 goals) converts his looks cleanly. Buffalo's star power leans forward; Calgary's depth production is more reliable.

The model got the game right: flip a coin. Buffalo's edge in underlying play is offset by Calgary's rest advantage, better PDO trajectory, and the Sabres' recent collapse. This is the purest toss-up the board offers.