What Your Roster Isn’t Telling You: Using End-of-Season Data to Keep More Girls

Your participation numbers look fine. Registration held steady. Maybe it even grew. But here’s the question those numbers can’t answer: How many girls didn’t come back and do you know why?

In most youth sport organizations, the end-of-season review is a logistics exercise: headcounts, budget reconciliation, scheduling for next year. The assumption is that if the numbers are stable, the program is working. But girls leave sport differently than boys do. They don’t usually announce it. They don’t file a complaint. They just don’t re-register. And by the time you notice the gap in the roster, the window to keep her has already closed (Canadian Women & Sport, 2022).

This article is about learning to see what the roster doesn’t show and building the systems that surface it before it’s too late.

The Metrics That Actually Predict Retention

If you’re only tracking registration numbers, you’re measuring who showed up, not whether they wanted to be there. The data that actually predicts whether a girl comes back next season looks very different from what most organizations collect. (read more on Turning Data into Inclusion)

• Belonging, not just registration. Did she feel like the program was built with her in mind? Or did she feel like she was being accommodated? There’s a meaningful difference, and it shows up in whether she tells her friends to join.
• Facility comfort. Were the changing rooms private? Were restrooms stocked? Could she manage her period without anxiety? These are yes-or-no infrastructure questions that have an outsized impact on whether adolescent girls stay (Canadian Women & Sport, 2024).
• Uniform satisfaction. Research identifies uniform anxiety as one of the top contributors to girls’ disengagement. Did she have options? Did they fit? Did she feel confident? (Body Confident Sport, 2024).
• Coaching climate. Did she feel known by her coach—as a person, not just a player? Was the culture mastery-focused or win-focused? Did she have a voice? Coaches who receive training in gender-responsive approaches report significantly higher perceived impact on athletes’ life skills (Anderson-Butcher et al., 2025).
• Safety to be honest. Could she tell someone when something wasn’t working? Did she have an anonymous channel to share concerns? Organizations that build formal feedback systems see higher coach accountability and more caring climates (Anderson-Butcher & Bates, 2022).

The 11–14 Window: Where the Drop-Off Happens

Girls drop out of sport at nearly twice the rate of boys by age 14 (Canadian Women & Sport, 2022). The reasons cluster around puberty: body changes, body image anxiety, uniform discomfort, menstrual management, social pressure, and a shift in how adults respond to their athleticism.

If you’re not tracking retention by age cohort, you’re flying blind through the most critical window in a girl’s sport career. A program that retains 12-year-olds at the same rate as 9-year-olds is doing something right. A program that sees a steep decline between 11 and 14 has an environment problem and the fix is rarely about programming. It’s about infrastructure, culture, and coach preparation.

Building the Feedback System You Don’t Have Yet

Most organizations don’t collect meaningful end-of-season feedback from athletes, especially not from the girls who decided not to come back. And the feedback that does exist is often collected through systems that don’t feel safe enough to produce honest answers. (read more on Turning Feedback into Engagement)

Building an effective feedback system doesn’t require a major investment. It requires three things:

• Anonymity. Girls need to know their responses can’t be traced back to them. A digital survey through a tool like Google Forms or SurveyMonkey, with no name field, is sufficient. A paper feedback box at the facility works too. The key is that the channel exists and athletes know about it.
• The right questions. Don’t ask “Did you enjoy the season?” Ask: “Did you feel comfortable in your uniform?” “Did you feel your coach knew you as a person?” “Was there a time you felt uncomfortable and didn’t know who to talk to?” “Would you recommend this program to a friend?” Specific questions produce actionable data. Vague questions produce polite non-answers.
• A commitment to act. Collecting feedback you never review is worse than not collecting it at all, it teaches athletes that their voice doesn’t matter. Set a date to review results. Assign someone to summarize findings. Bring at least one concrete change into July’s planning that came directly from athlete input.

The Coach Debrief: Your Most Underleveraged Tool

Most directors evaluate coaches informally at best, a conversation in the parking lot, a quick check-in at the end of the season. But the evidence for structured reflection is overwhelming. Coach education and training is proven to help coaches create safe environments and foster positive relationships and after training, coaches observe more joy and higher retention among their athletes (Million Coaches Challenge, 2026). When coaches engage in reflective practices, athletes report greater coach commitment and connection over time (McWilliams, 2019). And ongoing reflection enhances not just coaching quality but the coach’s own problem-solving, decision-making, and creativity (Nash & Collins, 2024).

A structured coach debrief doesn’t need to feel punitive. Frame it as a growth conversation, not a performance review. Use the Coaching HER® Coach’s Season Debrief Checklist as the agenda: walk through the five environments together, ask where they felt strongest and where they struggled, and collaboratively identify one or two priorities for next season. Coaches who engage in mindfulness and self-reflection also report greater self-compassion and stronger self-care strategies (Hagglund et al., 2024) so the debrief isn’t just good for the program; it’s good for the coach. A 30-minute conversation with each coach, held before summer, can shift an entire program’s culture by fall.

From Data to Action: What This Looks Like in Practice

Imagine you’re sitting down in late June with three data sources in front of you: your athlete survey results, your coach debrief notes, and your registration trends by age cohort. Here’s what that conversation might reveal:

• The survey shows that 40% of girls ages 12–14 rated “uniform comfort” as poor or fair. You didn’t know this was an issue because no one complained out loud.
• Two coaches independently mentioned that they didn’t feel prepared to talk to athletes about periods or body image. They managed by avoiding the topic entirely.
• Your 11–14 retention rate dropped 22% over three years, but your 8–10 rate held steady. The problem isn’t recruitment. It’s the puberty window.

None of those findings are catastrophic. All of them are fixable. But none of them were visible in your participation numbers. They only surfaced because you asked, listened, and looked at the right data.

References

Anderson-Butcher, D., & Bates, S. (2022). National Coach Survey: Final Report. The Ohio State University.

Anderson-Butcher, D., et al. (2025). Coach Training Participation and Athlete Life Skill Development. Quest.

Body Confident Sport. (2024). Body Confident Coaching Key Takeaways. Nike, Dove, Tucker Center, Centre for Appearance Research.

Canadian Women & Sport. (2022). The Rally Report: A Call for Better, Safer Sport for Girls.

Canadian Women & Sport. (2024). Rally Report 2024: A call to reimagine sport so all girls can play.

Goorevich, A., & Zipp, S. (2024). Menstruation, gendered experiences, and coach–athlete relationships.

Hagglund, K., et al. (2024). Mindfulness self-reflection practices in coaches.

McWilliams, L. (2019). Reflective coaching practices and athlete-reported coach commitment and connection.

Million Coaches Challenge. (2026). Coach education and athlete outcomes research findings.

Nash, C., & Collins, D. (2024). Ongoing coach reflection and professional development.

Tucker Center for Research on Girls & Women in Sport. (2024). Coaching HER modules key takeaways.