Why Team Sports Are Different — and Why It Matters for Hockey Stats

The Equation

Let's start with something deceptively simple. In team sports:

Productivity = Potential × Processes

Productivity is the output — the results, the wins, the goals, whatever metric you use to measure performance.

Potential is the quality of the individual players. The word "potential" is a bit misleading here; I don't mean future upside. I mean their current ability level.

Processes is how well those players work together.

That's it. Team performance depends on two things: the quality of the players, and how well they function as a unit.

This shouldn't surprise anyone. We've all seen it play out. Sometimes a team is greater than the sum of its parts. Sometimes it's less. A roster assembled from the best players in the world is not automatically the best team in the world.

Individual Sports Are a Different Problem

In an individual sport, identifying the best player is straightforward — it's whoever has the best results. The most talented athlete doesn't always win (injuries, coaching, circumstances all matter), but you can never perform better or worse than the sum of your parts, because there is only one part: you.

Team sports don't work that way. The moment you add a second person, the relationship between them becomes part of the equation. That's what makes team sports genuinely harder to analyze.

What Actually Are "Processes"?

This is where things get interesting — and a little slippery.

Some processes are concrete. What tactics is the team running? Do those tactics suit the players? How well do players communicate, on and off the ice? Are they rested, eating well, physically prepared?

Others are softer, but no less real. Do the players have chemistry? Do they believe in the system? A coach can have the best concept in the league, but if the players don't buy in, it's worthless. Trust matters too — a defender who doesn't trust his goaltender will throw his body in front of everything, but in doing so, he might give up passing lanes. A goaltender who doesn't trust his defense will cheat toward the pass instead of staying square to the shot. The whole structure falls apart quietly.

And then there's the genuinely "fluffy" stuff: Are players happy? Do they like each other? It sounds soft, but it feeds directly into the equation.

The GM's Job vs. the Coach's Job

In the NHL, everything points toward one goal — winning the Stanley Cup. If we strip it down: the GM's job is to optimize potential (build the best possible roster), and the coach's job is to optimize processes (get the most out of that roster).

In practice, the lines blur. A good GM doesn't just stockpile talent — they think about fit, about how a new player changes the team's dynamics, not just its ceiling. And a good coach isn't just running systems. Player development is a real lever on potential. So is smart deployment — if a coach consistently puts his best players in the right situations without burning them out, he's effectively raising the team's potential floor.

The roles overlap more than the titles suggest.

Youth Hockey Is a Different Game Entirely

In youth hockey, the goal should be different — and it usually isn't stated clearly enough. The priority is player development, not process optimization. Winning matters less than growth. If you're optimizing team processes at the expense of individual development, you're trading a bigger long-term gain for a smaller short-term one.

This applies at the professional level too. A coach who wants to install something genuinely new should expect a dip in productivity during the transition. That takes courage, because coaches are judged almost entirely on results. It's one reason most coaches are so conservative — and honestly, it's hard to blame them.

Why This Matters for Hockey Statistics

Here's the part that ties everything together.

Almost every hockey statistic measures productivity — not potential. Take GAR, for example. It estimates a player's impact on team productivity within the context of a specific team and its processes. It doesn't isolate true ability. Move that player to a different team with different systems, different linemates, different culture, and the number will likely change — because the processes around him have changed.

There's nothing earth-shattering about this. But it's easy to forget when you're looking at a single number next to a player's name. Statistics tell you what happened. They're much quieter about why.