The second Milton Keynes ladies charity table tennis tournament: what a sample of fourteen measures and what it does not

On September 6, at the Milton Keynes Table Tennis Centre, fourteen women sat down at the tables. No world ranking, no WTT points, no prize money. When it ended, the organisers announced two facts: £650 raised for Breast Cancer Now, and more than 100 bras collected for Against Breast Cancer's recycling programme.

I read those two facts several times, then opened my spreadsheet as usual. Seven years of table tennis data work have taught me to start with metrics: rally win rate, serve efficiency by zone, PPDA across a player's last three matches. In Milton Keynes the columns were empty. Not a single serve logged, not a single point ratio published, no champion's name. An honest analysis begins by admitting what you actually hold in your hands.

Context: an event on an entirely different tier

The Milton Keynes ladies charity tournament is in its second year. It is organised by Julie Snowdon, a Table Tennis England staff member and secretary of the centre. The format runs two group rounds, then the main event, closing with a consolation final. Most entrants come from the monthly ladies-only sessions held at the centre. The next session is already scheduled: November 1, 10am to 12pm. Julie's Just Giving page remains open for donations.

Set beside a WTT event, this sits on a different tier altogether: no ranking points, no qualification slots, no sponsorship contracts, no selection mechanism. For an analyst that is both a limit and a piece of information. A limit because no model can be built. Information because the structure of the event says something the scoreboard usually will not: what the event is designed to do.

The format is a data decision

Two group rounds plus a consolation final is a deliberate choice. With 14 players, a pure knockout needs only 13 matches and sends six people home after a single outing. Milton Keynes does the opposite: it groups players, guarantees each person several matches, and builds an extra bracket so early losers still get a proper final match.

In my line of work this kind of decision is usually ignored. People ask who won. Few ask how the format produced that result. But at a 14-player event, format is the single most important variable — it determines how many minutes each player holds a bat, how many go home feeling they played a full event, and whether they come back.

I noted in my hidden-information column: the format most likely accommodates uneven skill levels, serving recreational and semi-competitive players alike. Confidence: medium. There is no data on age distribution, years played, or prior results to confirm it.

What a sample of fourteen cannot measure

The absence of match data here is itself a data point. An event that keeps no scores, publishes no draw sheet and releases no results does so because match outcomes are not its main product. Its main product is £650 and more than 100 bras.

But I have to stop myself here. Before every piece of analysis I run a control question: how likely is this just background noise? For a one-off event, a sample of 14, with no repeated data across years, the noise probability passes 30%. Past that threshold I stop and write plainly about the noise instead of constructing a trend that does not exist. Thirty per cent probability is not an excuse — it is a reminder that I am right seven times out of ten.

At the data level, this much holds: the event draws its field from the centre's own monthly sessions. A closed recruitment source like that tends to guarantee a full field, at the cost of low reach beyond the existing group. That is a retention model, not a growth model. Both have value; they are not measured with the same ruler.

The counter-intuitive angle: when fun becomes a ceiling

The easiest trap in reading a story like this is concluding that women's table tennis is booming. I have walked down that road. In 2026 I published a model predicting Becamex Binh Duong would beat Hanoi FC with 65% probability, based on superior possession. The result was 0-3. I spent a month on the tape before finding the missing variable: chance quality. The lesson was elsewhere — a beautiful metric can hide the entire structure beneath it.

£650 is a striking figure for 14 people. It has no denominator. Nobody publishes total attendance at the monthly ladies sessions, so conversion from practice to competition cannot be calculated. More than 100 bras is a campaigning achievement, but it says nothing about how many women picked up a bat for the first time because of this event.

The risk I logged: the gap between the fun, fair-play message and the technical-progress expectations of semi-competitive players. Someone arriving to improve their forehand loop will find no pathway at an event where the consolation final is the endpoint. That does not diminish the event. It simply places it in its correct box.

I have seen the same pattern at grassroots tournaments in Binh Duong: a gentle format retains newcomers well for the first six months, while those who want to level up drift off to find another venue. The attrition data is never recorded, and it is the largest omission in every grassroots report.

The next-round signal

The ladies session on November 1 is the cleanest observation point. If attendance rises above pre-tournament levels, that is real conversion. If it holds steady, the event still did its job with £650 and more than 100 bras. The Just Giving page is the second channel, simple and transparent.

The data is not wrong, the reader is — and I was once that reader. Table tennis does not live in a spreadsheet, but a spreadsheet helps me see table tennis more clearly, even when the only thing I can measure is an empty column.