Fantasy Football and Decision-Based Analysis: A Practical Example

Fantasy Football and Decision-Based Analysis: A Practical Example. So far in this series, we’ve talked about dashboards that don’t drive decisions, data overload, clarity, insight, and structure. Now let’s ground all that in something concrete. Everyone loves Fantasy Football, right? Whether you play seriously or just for fun, this game forces you to make weekly decisions with incomplete information. And that makes him a perfect example decision-based analytics in practice.

From Data to Insights

Previously in this series, we discussed how insight only exists when meaning is made explicit.

The numbers don’t speak for themselves. The visuals don’t explain themselves. People create meaning.

In business dashboards, we often move from direct raw data to visuals and assume that insights will be gained.

Fantasy Football quickly exposed those flaws.

You don’t just want to see player statistics. You want to know:

• Who should I move to?
• Who should I captain?
• What gives me the highest chance of scoring more points this week?

It’s not an exploratory exercise. It’s a decision.

Game Week 25: One Question

Let’s take Gameweek 25 as an example.

The report asks one very simple question:

“What transfers should I make this week?”

Not ten questions.

Not “let’s explore them all”.

Not “let’s see what the data says”.

One decision.

Everything on this page is there to support that single choice.

• Projected points (ep_next)
• Average points
• Shaping
• Total points

Every metric has a purpose.

They are not there because they are available. They are there because they influence decisions.

What Makes It Different?

This is not a neutral dashboard. It has intention.

The layout guides attention. The metrics are prioritized. The context is explicit. The narrative is implied:

• Here are the players
• Here’s why it matters
• Here’s the proof
• This is why it is a rational move

That’s what the practice of data-based storytelling looks like. This reduces uncertainty. This increases self-confidence. It makes the choice easier.

Why This Matters Beyond Fantasy Football

This might be a game. But the structure is exactly the same in business. Imagine replacing “Who should I transfer?” with:

• Which suppliers should we renegotiate with?
• Which areas are worthy of investment?
• Which product lines should we discontinue?

The goal is not to display every possible metric. The goal is to design artifacts that help someone make decisions now. Not next week. Not after three more breakdowns. Now.

Good Analysis Doesn’t Answer Everything

This is the uncomfortable part. Good analysis can do that No answer every possible question. This answers the right question well.

In this case:

What transfers should I make this week?

These obstacles are very strong. This forces discipline. This forces prioritization. This forces clarity. And that’s what most business dashboards lack.

Decision-Based Analysis in Practice

This is what I mean when I talk about the shift from reporting to decision support.

The report was not created to show how smart the model is.

It exists to reduce cognitive load and increase self-confidence.

That’s the difference between:

• A dashboard
• Decision making tool

Fantasy Football makes the stakes clear. If you make a transfer incorrectly, you lose points. In business, the stakes are higher. But the principle is the same.

Standards We Must Achieve

We shouldn’t create dashboards that show everything. We must build artifacts that help someone make decisions.

It means:

• Starting with a question
• Only select important signals
• Deliberate page layout
• Make the implications clear

If your dashboard disappeared tomorrow, would specific decisions be more difficult? If not, it’s reporting. If so, this is decision-driven analysis.

Where This Is Leading

This practical example is how we approach analytics within Data Accelerator.

We don’t start with a data set. We start with a decision. And then we designed everything in reverse from there. Whether it’s Fantasy Football or forecasting revenue, the standards should be the same:

Not more dashboards. Better decisions.

Useful Links

Dashboards Don’t Drive Decisions

Data Overload Kills Decision Making

Why Data Initiatives Stall As Organizations Grow