For every metric on the dashboard, you might wonder, “Is this good? bad? How do I improve it?” sportFX shines by not just showing data but explaining it. The AI Coach’s insights will often accompany the metrics: - Metrics that are subpar will be called out in the feedback text. For example, you might see in plain language: “Your tempo and face-to-path scores are slightly below average”[26]. This is the AI highlighting what the numbers mean – in this case, maybe your swing tempo was off the ideal ratio, or the club/hand path relative to target (face-to-path) wasn’t optimal. - The AI might highlight why a metric matters. E.g., “Your hips start opening before your hands fire, which reduces the torque you can generate”[28]. This kind of insight connects a metric (timing of hip rotation vs hand movement) to performance (losing power). - If you tap on a metric in the app, there may be a short description. Many training apps have an info (ℹ️) icon next to metrics – use those to read definitions. sportFX likely provides definitions or at least uses intuitive naming. For instance, “Smash Factor” might be explained as ball speed divided by swing speed (common in golf and baseball hitting analysis), indicating efficiency of energy transfer.
By understanding these metrics and the relationships between them, you’ll start to see the full picture of your technique. The dashboard essentially quantifies your athletic performance: it’s objective, which is great, but remember that day-to-day variation can occur (fatigue, weather, etc.). Focus on trends over time and heed the AI’s pointers on which metrics to target for improvement.
In the next section, we’ll delve into how sportFX’s AI gives you coaching feedback and specific improvement plans – essentially translating these metrics into training actions.