How can you share sports analytics with stakeholders?

1 Know your audience

Before you share your sports analytics, you need to understand who your audience is and what they want to know. Different stakeholders may have different levels of interest, knowledge, and expectations about your data. For example, coaches and players may want to see detailed and actionable feedback on their strengths and weaknesses, while fans and media may want to see more general and engaging stories and trends. You should tailor your message, format, and tone to suit your audience's needs and preferences.

2 Choose the right tools

There are many tools and platforms that can help you share your sports analytics, such as spreadsheets, dashboards, reports, presentations, infographics, podcasts, blogs, and social media. Depending on your audience and purpose, you should choose the right tools that can showcase your data clearly, accurately, and visually. For example, spreadsheets and dashboards can help you organize and analyze your data, while reports and presentations can help you explain and persuade your audience. Infographics and podcasts can help you simplify and illustrate your data, while blogs and social media can help you reach and interact with your audience.

3 Use clear and simple language

When you share your sports analytics, you should use clear and simple language that your audience can understand and relate to. Avoid using jargon, acronyms, and technical terms that may confuse or alienate your audience. Instead, use plain and familiar words that can convey your meaning and message. For example, instead of saying "the team's expected goals (xG) increased by 15%", you can say "the team created more chances to score than before". You should also use active and positive words that can engage and motivate your audience.

4 Highlight the key points

When you share your sports analytics, you should highlight the key points that you want your audience to remember and act on. You should not overwhelm your audience with too much or irrelevant data that may distract or bore them. Instead, you should focus on the most important and relevant data that can support your goals and strategies. You should also use charts, graphs, tables, and images that can illustrate your key points visually and make them stand out. You should also use headings, bullet points, and summaries that can organize and emphasize your key points.

5 Tell a story

When you share your sports analytics, you should tell a story that can connect your data to your audience's emotions and values. You should not just present your data as facts and numbers, but as narratives and stories that can show the context, meaning, and impact of your data. For example, you can use anecdotes, examples, quotes, and testimonials that can show how your data affects the lives and experiences of your athletes, teams, and fans. You can also use metaphors, analogies, and comparisons that can make your data more relatable and memorable.

6 Invite feedback

When you share your sports analytics, you should invite feedback from your audience that can help you improve your data and communication. You should not just share your data as a one-way information, but as a two-way conversation that can encourage dialogue and collaboration. For example, you can ask questions, solicit opinions, and acknowledge comments that can show your interest and respect for your audience's views and suggestions. You can also use surveys, polls, and quizzes that can measure your audience's satisfaction and understanding of your data.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?