Strength of schedule (SOS) answers a practical fan question: is the path ahead softer or harder than average? In a playoff race, SOS does not change the math of tonight’s two points, but it changes how believable a hot streak—or a slump—might be over the final weeks.

What SOS tries to measure. Look at every opponent left on the calendar. If those teams win a lot (high points percentage), the schedule is hard. If they hover below league average, the schedule is soft. The BlueLine expresses SOS as the average opponent points percentage minus league average, so positive values mean “tougher than normal” and negative values mean “easier than normal.”

Why points percentage? It scales across teams that have played different numbers of games. Goal differential or expected-goals models can refine SOS further, but points pace is transparent and updates nightly with official results.

Common mistake: confusing SOS with destiny. A soft schedule raises expected points—not guaranteed ones. Underdogs steal games; contenders stub their toes. Monte Carlo simulations bake SOS into many playoff models implicitly through opponent strength; standalone SOS is a narrative and diagnostics layer on top.

Bubble context. When two clubs are tied, the one with the softer remaining path might project slightly better in simulations—even if magic numbers look identical today. That is useful context when you are deciding which team’s games to watch down the stretch.

Takeaway. Treat SOS as a tie-breaker in your head for storytelling and probability, not as a replacement for standings or clinch numbers.

The BlueLine is an independent NHL analytics site and is not affiliated with the National Hockey League.