Forecast tournament player retention over repeated monthly cycles while adding a constant number of new players. The model makes churn visible and separates organic retention from acquisition-driven growth.
Active players at forecast end is calculated directly from the entered scenario. Read it together with the supporting figures so the assumptions remain visible.
Planning estimate only. Verify important athletic, financial, or infrastructure decisions with qualified staff and real-world measurements.
Starting with 5,000 players, retaining 85% monthly, and adding 400 per month produces about 2,999 active players after 12 months.
It uses the values shown in the calculator panel and applies only the formula documented on this page.
Zero is accepted where it represents a valid absence of cost, volume, allocation, or activity; fields that form a divisor must remain above zero.
No. The result is a scenario estimate based on your inputs, not a guarantee of athletic, financial, or technical performance.
Change one assumption at a time, calculate again, and compare the main result with the secondary metrics.
Real outcomes can vary because of measurement error, changing participation, individual condition, infrastructure overhead, or other factors outside this simplified model.
| Input | Unit | Role |
|---|---|---|
| Starting players | players | Active players at the start of month one. |
| Monthly retention | % | Share retained from one month to the next. |
| New players per month | players | Constant monthly additions. |
| Forecast length | months | Number of monthly cycles to model. |