M. Murray produced the superior goaltending: 33 saves on 34 shots (0.971 SV%, +2.98 above expected) versus J. Greaves' 22 of 23 (0.957 SV%, +2.01 above expected). By the expected goals model, Murray should have stolen a win. Yet Seattle lost 2-1, decided by Charlie Coyle's wrist shot from the slot in the shootout.

Columbus controlled 5v5 expected goals at 57% (3.98–3.01), a margin larger than shot volume alone suggested. Seattle held just 40% of shot attempts (23–34), meaning the Kraken were outshot by volume and quality. On high-danger chances, Columbus led 4–3. Neither team converted rebound opportunities: Seattle generated 5, Columbus 3, both wasting second chances.

M. Murray's +2.98 above expected—nearly a goal's worth of excellence—meant Seattle created the quality to steal this game. They didn't. The expected goals framework aligned with Columbus's precision; the shootout decided what regulation play never could. In sudden death, one shot mattered more than the underlying metrics.

Three Stars

• #19 A. Fantilli (CBJ) — 1G in 22:54
• #86 K. Marchenko (CBJ) — 1A in 21:19
• #23 S. Monahan (CBJ) — 1A in 21:11

The numbers say this is essentially a draw. The model projects a 2.6-2.4 Blue Jackets win with Columbus at 53% win probability—as close to an even matchup as you'll find.

Columbus has the underlying advantage. The Blue Jackets control shot quality at 52.0% xG, compared to 46.0% for Seattle, and dominate territorial play with 51.0% Corsi. They impose their structure and generate volume in the right places. Seattle absorbs that dominance without collapsing, but the deficit matters when games are decided by a goal or two.

Seattle's recent results suggest the model might be underweighting momentum. The Kraken sit at minus-7 goal differential over their last ten games—genuinely underwater in a small sample that often predicts regression or collapse. That's the kind of stretch that can compound.

The key decision point: M. Murray is on a back-to-back. If Seattle starts a backup, Columbus's shot-quality edge becomes a tangible advantage. If Murray plays tired, expect Seattle to tighten defensively and lean on Chandler Stephenson to absorb punishment.

Columbus counters with its own vulnerability. Conor Garland is the Blue Jackets' defensive weak link, which Seattle can exploit if Berkly Catton finds space in transition.

Players to Watch

Columbus: Boone Jenner (11G 21A, 0.98 xG/60, 9.6% shooting) remains the engine; Mathieu Olivier (12G 9A, 0.89 xG/60, 13.3% shooting) provides secondary punch.

Seattle: Shane Wright (8G 10A, 0.77 xG/60, 10.4% shooting, 4 high-danger goals) and Berkly Catton (6G 8A, 0.68 xG/60, 8.8% shooting, 5 high-danger goals) carry the scoring load.

The coin flip reflects reality: Columbus has a structural advantage Seattle can overcome if goaltending holds. Watch the opening stretch to see if the model's thin edge materializes or Seattle steals a game it has no business winning.