The Problem Hiding in Plain Sight on Every Tee Sheet
The Hidden Dilemma of Singles and Twosomes
Every golfer has probably done it at one point or another.
You’re booking a tee time for yourself or yourself and a buddy. You find a perfect slot with some room for you to breathe in the afternoon. You click “Book,” confirm your spot, and move on with your day. Simple. Convenient. Exactly how modern booking should work.
But behind the scenes, that simple single or twosome booking quietly creates a challenge for the golf course.
Because while single players and pairs naturally prefer to book into open tee times, those partial bookings create a haphazard tee sheet schedule on the backend and often block larger playing groups from reserving prime slots. What feels like a smooth customer experience for the golfer becomes a complex operational puzzle and a loss of potential revenue for the course.
And it happens constantly.
Half of All Tee Times are Partially Filled
In recent simulation modeling and anonymized research across a broad sample of golf facilities, we found:
- 50% of tee times book as full foursomes
- 20% book with three players
- 20% book with two players
- 10% book with single players
That means roughly half of all tee times are partially filled at the time of booking. Individually, these bookings make perfect sense for golfers. But collectively, they create:
- Stranded singles sitting in premium morning slots
- Twosomes blocking high-demand tee times
- “Swiss cheese” tee sheets with gaps that are hard to sell later
- Lost opportunities for full groups ready to book
Over time, these small inefficiencies add up to meaningful revenue leakage.
The Real Cost Isn't Just the Empty Slot
The obvious loss is simple: An unfilled spot is a green fee never collected. But the deeper cost is more subtle.
A premium tee time with only a single golfer is effectively removed from inventory for foursomes. That devalues your highest-demand hours and forces operators to either leave revenue on the table, or discount it later to fill the gap.
Neither is ideal, and it still also introduces operational friction:
- Inconsistent pace of play
- Uneven group distribution
- Staff uncertainty around expected volume
- Increased reliance on last-minute deals
Meanwhile, golfers did nothing wrong, they simply booked the most convenient slot available.
This is not a customer behavior problem. It’s an inventory optimization problem.
Small Improvements with Big Impact
Our simulation modeling shows that solving even a fraction of this issue can generate meaningful results.
By intelligently guiding partial bookings into better-fitting tee times and applying precise, incentive-based pricing where appropriate, we project an average 1–2% uplift in total rounds and revenue.
That may sound modest; until you apply it across:
- A full season
- A busy daily tee sheet
- Cart fees
- Food & beverage
- Merchandise
Suddenly, that 1–2% becomes a major financial lever delivered without adding tee times, raising rack rates, or increasing staff workload.
A New Way to Fill the Tee Sheet
This is exactly the problem Priswing set out to solve.
Introducing Gap Fill
A novel new approach to tee sheet optimization powered by machine learning models trained on:
- Golfer booking behavior
- Price sensitivity by daypart
- Historical sell-through velocity
- Weather patterns
- Event calendars
- And the unique demand rhythm of your course
Gap Fill continuously scans your tee sheet, identifies emerging partial-group risk, and dynamically applies the right incentive at the right moment to nudge golfers into slots that complete groups rather than fragment them. This is done intelligently, without blanket discounts or last-minute fire sales that often end up incentivizing last minute bookings from customers.
Gap Fill is precision micro-yield management, tuned to how golfers actually book.
Creating a Better Golfer Experience
This isn’t just better for operators.
Golfers benefit from:
- More availability in premium tee times
- Fair, transparent pricing
- Fewer frustrating “no foursome slots left” messages
- Smoother pace-of-play experiences on course
Everyone wins when the tee sheet flows better.
From Static Inventory to Living, Learning Yield
For years, the industry has embraced dynamic pricing at the macro level by adjusting prices depending on time of day or day of week.
Priswing took it further by applying machine learning to truly optimize prices across the tee sheet. And Gap Fill takes it to the next level.
Slot-by-slot intelligence. Group-by-group optimization. Revenue without disruption.
No more guessing. No more Swiss cheese tee sheets. No more leaving money behind in the smallest gaps.
The tee sheet finally works as hard as the operator behind it.




