Most hockey statistics tell us what has already happened.
Goals. Assists. Wins. Points. Save percentage. Shooting percentage.
They’re important. But they are largely results metrics — the scoreboard left behind by events that have already occurred.
At Highlander Hockey Report, we’re particularly interested in what comes before the result.
Leading Indicators vs. Results Metrics
The distinction is fundamental to how we approach hockey analysis.
Results metrics describe outcomes. They tell us who scored, who won, how many points a player accumulated or what percentage of shots a goaltender stopped.
Leading indicators attempt to identify the conditions and processes producing those outcomes — and, where the evidence supports it, whether current results are likely to continue.
That means asking different questions.
Is a team winning because it is consistently controlling dangerous scoring opportunities, or because an unusually high percentage of its shots are going in?
Is a struggling player generating quality opportunities that aren’t being converted, or has his underlying offensive involvement actually declined?
Is a goaltender masking defensive problems that eventually could become visible on the scoreboard?
Is a five-game winning streak evidence that a team is playing better — or simply that the results have temporarily been better?
Those distinctions matter.
What We Look At
Highlander analysis can incorporate indicators such as:
- Expected goals and expected-goal share
- High-danger and inner-slot opportunities
- Shot quality rather than shot volume alone
- Controlled zone entries and exits
- Entry denial and defensive transition performance
- Rush creation and rush prevention
- Possession sequences and offensive-zone establishment
- Puck retrievals and forechecking effectiveness
- Individual shot generation
- Primary shot contributions and play creation
- Deployment, linemates and quality of competition
- Special-teams process
- Shooting and save percentages relative to sustainable performance
- Score, game-state and situational context
No single metric provides the answer.
The objective is to combine multiple indicators with observation and context to understand the process underneath the result.
The Question Behind the Numbers
Suppose Team A has won seven of its last ten games.
The traditional numbers tell us:
7–3.
Useful information. But Highlander Hockey Report wants to know what produced it.
Did Team A control expected goals?
Did it generate more dangerous chances?
Did its transition game improve?
Did its defensive structure reduce quality against?
Or did it get exceptional goaltending while converting an unusually high percentage of its opportunities?
Those can all produce the same 7–3 record.
They don’t necessarily tell us the same thing about the next ten games.
That’s where leading indicators become valuable.
Process Before Outcome
This approach also changes how we evaluate players.
A ten-game scoring drought doesn’t automatically mean a forward is playing poorly. If he’s still generating shots from dangerous areas, creating opportunities for teammates and consistently getting the puck into threatening positions, the underlying process may be considerably better than the goal column suggests.
Conversely, a player riding an unsustainably high shooting percentage may be producing excellent results while his underlying process raises questions about whether those results can continue.
Neither conclusion should be automatic.
The numbers give us evidence.
Then we investigate.
Analytics Without Absolutes
Leading indicators aren’t crystal balls.
Expected goals don’t guarantee future goals. Possession doesn’t guarantee victories. Strong underlying numbers don’t eliminate randomness, injuries, tactical changes, goaltending or the countless other variables that influence hockey.
Analytics deal in probabilities, not certainties.
That’s an important distinction.
We aren’t trying to replace watching hockey with a model. We’re using data to identify patterns, challenge assumptions and ask questions that the scoreboard alone cannot answer.
Sometimes the data will reinforce what our eyes are telling us.
Sometimes it will challenge it.
That’s when things get interesting.
The Highlander Difference
Plenty of hockey sites can tell you what happened last night.
Highlander Hockey Report wants to help explain why it happened — and what the underlying evidence suggests might happen next.
That means looking beyond the standings, the scoring race and the latest winning or losing streak.
It means separating outcome from process.
It means looking for signals before they become headlines.
And it means being willing to say we don’t know yet when the evidence isn’t strong enough.
Because the purpose of analytics isn’t to make hockey certain.
It’s to make our understanding of it better.
Evidence should inform the debate, not end it.
Hold Fast. Think Sharp. See the Game Clearly.