Colorado won a game it had no business winning. The Blue Jackets controlled 57% of the expected goals at 5v5, yet Colorado prevailed 4–0. Goaltending explained the gap: T. Miner stopped all 29 shots he faced and saved 3.92 goals above expected, while E. Merzlikins allowed 1.03 goals more than her workload merited.

The Blue Jackets created seven high-danger chances and converted none. The Avalanche scored on just three high-danger looks. Colorado won through elite goaltending and clinical finishing, not volume or possession.

B. Burns paced the Avalanche with 2 goals in 20:04. P. Kelly supplied 2 assists in 14:38. V. Olofsson added 1 goal and 1 assist in 13:23.

The underlying metrics favored Columbus. The final score did not.

The model favors the Avalanche at 57% win probability, projecting a 2.5–2.9 game. The Avalanche's edge is real, but their luck is running out.

The Avalanche look sharper than the Blue Jackets in live action. The Avalanche are 8-2-0 in their last 10, evidence of sustained form. Underneath, the gap is wider: the Avalanche hold 57.0% expected goals at 5v5, compared to the Blue Jackets' 52.0%. The Corsi split mirrors this—57.0% for the Avalanche, 51.0% for the Blue Jackets—meaning the Avalanche don't just out-shoot; they own territorial control. Artturi Lehkonen drives that edge at 1.11 xG/60, his 18 goals and 6 high-danger goals backing up the underlying dominance.

This is where the model sees its advantage. The Avalanche's shot volume and shot quality should translate to wins over time. But there's a catch: the Avalanche's PDO sits at 1.021, indicating their actual results have outpaced what their underlying play suggests. The Blue Jackets' PDO of 1.003 is closer to neutral. Regression is coming for the Avalanche. Some of their recent wins are borrowed from tomorrow's results.

Both goaltenders enter on back-to-backs. Monitor whether the Avalanche lean on a backup or rely on a fatigued S. Wedgewood; similarly, watch if the Blue Jackets wheel out a backup instead of J. Greaves. This could tighten the game if either starter is unavailable.

Players to Watch

Blue Jackets

• Boone Jenner — 0.98 xG/60, 11G 21A, 2 HD goals, 9.6% shooting
• Mathieu Olivier — 0.89 xG/60, 12G 9A, 1 HD goal, 13.3% shooting

Avalanche

• Artturi Lehkonen — 1.11 xG/60, 18G 22A, 6 HD goals, 14.9% shooting
• Ross Colton — 1.10 xG/60, 7G 15A, 1 HD goal, 4.9% shooting

The Blue Jackets need to manage Lehkonen's touches; Conor Garland becomes a liability in tight assignments. For the Avalanche, Nazem Kadri represents the weak point the Blue Jackets can target. If they exploit that, PDO regression and goalie fatigue might combine into a closer result than the model suggests.