Detroit won by theft. The Red Wings edged Columbus 4-3 in overtime despite losing the expected-goals battle 4.69–3.68—the Blue Jackets controlled 56% of expected goals at 5v5. Goaltending delivered a result the shot quality didn't merit.

The play contradicted the scoreboard. Columbus generated 9 high-danger chances to Detroit's 4, yet trailed. The Blue Jackets underperformed their xG by 1.69 goals, missing opportunities. C. Talbot (DET) saved 1.69 goals above expected with a 0.914 SV%, converting an inferior shot-quality position into victory. J. Greaves (CBJ) made 29 of 33 saves (0.879 SV%)—competent, but insufficient.

Alex DeBrincat's snap shot from a sharp angle at 01:50 of overtime ended it.

Detroit's efficiency in transition masked their underlying disadvantage. They scored 4 goals on 28 rush chances while Columbus managed 3 on 37. The Red Wings generated 4 rebound opportunities (converting none), evidence of net-crashing, but Talbot's positioning determined the result. These marginal gains—slight efficiency edge, transition moments—compounded into a win Columbus' shot quality controlled.

Columbus generated better chances. Detroit's goaltender stopped them anyway. That disparity became decisive in overtime.

The model projects 2.6-2.5 Columbus with the Blue Jackets at 51% win probability—this is a pick'em.

Columbus holds an edge in shot quality. Their 52.0% 5v5 expected-goals share against Detroit's 49.0% means they're generating better chances consistently. The 51.0% Corsi% reinforces this: they're controlling possession in a sustainable way. Their 1.003 PDO is neutral; Detroit's 0.985 suggests minor puck-luck resistance.

Form complicates both teams. Columbus is -7 on goal differential over their last ten games; Detroit is -10. Neither can reliably convert when both are bleeding goals.

Back-to-backs present risk. J. Gibson and J. Greaves are each playing their second straight night—expect fatigue or a backup appearance.

Boone Jenner powers Columbus at 0.98 xG per 60, combining 11 goals and 21 assists. His 2 high-danger goals on 9.6% shooting reflects genuine conversion, not variance. Mathieu Olivier contributes secondary scoring at 0.89 xG/60 and 12 goals, though his 13.3% shooting rate won't hold.

Detroit counters with Alex DeBrincat, operating at 0.88 xG/60 with 17 goals and 28 assists, including 2 high-danger tallies. Marco Kasper runs lower volume—0.81 xG/60, 7 goals, 8 assists, 1 high-danger goal—and his 6.1% shooting hints at underperformance.

Both teams have registered 0% high-danger and rebound-goal rates. Columbus's defensive weak link is Conor Garland; Detroit's is Axel Sandin-Pellikka. When the margin is thin, these matter.

The model has this right. It's a coin flip.