The Blue Jackets defeated Toronto 6-3 despite getting outplayed on the scorecard that matters most: expected goals. Columbus posted 2.32 xG while Toronto generated 4.45, giving the Maple Leafs 66% of expected goals at 5v5. This was a robbery.

Shot profile explains part of the gap. Toronto took 36 shots to Columbus's 24 (40% for the Jackets), and quality followed their volume: Toronto generated 0.063 xG per shot versus Columbus's 0.039. The Maple Leafs had the better looks. E. Merzlikins stopped them anyway.

Merzlikins finished 33-for-36 (0.917 SV%), beating his expected total by 1.45 goals. C. Primeau allowed six on 24 shots (0.750 SV%), surrendering 3.68 more than expected.

Columbus compensated with ruthlessness in spots that mattered. They converted 2-of-4 high-danger chances (50%), while Toronto managed 4-of-6. In the rush, Columbus scored five goals on 20 chances; Toronto, despite more control, scored just twice on 32. Columbus also buried two from low-danger territory—the trash that defines +3.7 overperformance. Nicholas Robertson's wrist shot from a sharp angle at 18:10 of the third proved the turning point.

The model projects a TOR 2.3 - 2.8 CBJ game with the Blue Jackets at 57% win probability—a reflection of their clear edge in 5v5 play.

Columbus dominates the underlying metrics. They're generating shots at 52.0% expected goals share to Toronto's 46.0%, and controlling territory at 51.0% Corsi to Toronto's 45.0%. These aren't narrow edges; they're the kind of play-driving advantage that typically translates to wins.

Both teams face back-to-back goaltending. J. Greaves tends goal for Columbus while A. Stolarz plays for Toronto, and fatigue—or a backup appearance—could tip the advantage either direction.

Toronto's threat comes from efficiency despite territorial disadvantage. Auston Matthews drives at 1.10 xG/60, posting 17G 13A with 1 HD goal and 10.6% shooting. John Tavares complements him at 0.91 xG/60, 15G 24A, with 3 HD goals and 12.4% shooting—higher conversion than Matthews despite lower volume. Bo Groulx is Toronto's defensive weak link.

Columbus counters with balanced production. Boone Jenner leads at 0.98 xG/60 with 11G 21A, 2 HD goals, and 9.6% shooting, while Mathieu Olivier offers secondary punch: 0.89 xG/60, 12G 9A, 1 HD goal, and a sharp 13.3% shooting rate. Conor Garland is Columbus's defensive weak link.

The verdict sits in the possession numbers. Columbus's 52.0% xG share isn't variance—it's structural. Toronto will need to outlast the territorial disadvantage through goaltending or convert at high rates. PDO (TOR 1.002, CBJ 1.003) suggests both teams' underlying luck is normalized, so sustained advantage goes to whoever controls play. Columbus does.