We’ve developed an extensive set of advanced statistics inspired by discussions with pro teams, coaches, and users that goes beyond what's currently shown in our app. An Excel file is available for you to download with every video, accessible via the sandwich menu (⋮) from the library or video page. If you’re a developer, you might be more interested in our Data Export feature.

Download it here

Let's dive into some of the exciting new stats you can explore.

Team Comparison

• Percentage to Kitchen: This is the percentage of rallies where both players on the team made it to the kitchen. Is someone hanging back, or are you both consistently getting to the kitchen?‍

• Team Short/Medium/Long Length Rallies Won: Understand where your team excels. Do you dominate in quick exchanges or playing it safe over longer rallies?

Player Comparison

• Shot, Volley, Ground Stroke Counts: See how you stack up against your partner and opponents. These stats can give insight into targeting strategy as well as if a player favors their backhand or forehand.

• Total Distance Covered (ft): Greater movement isn’t necessarily a signal for success. Move on the court, but at the right moments and to the right places.

• Player Net Impact Score: This measures your overall impact on the game's outcome. A higher score indicates a more significant positive influence. This stat is a work in progress, so for now you will just see 50%.

• Average Shot Quality: See how your shots stack up overall. Are you consistently making high-quality shots?

• Team Shot Percentage: See how much you're contributing to your team's total shots. Are you carrying the load or playing a more supportive role?

• Out Fault Percentage: This is the percentage of shots you accidentally hit out. Lower is better.

• Net Fault Percentage: This is the percentage of shots you accidentally hit into the net. Lower is better.

• Team Left Side Percentage: This stat is indicative of stacking. If you don’t stack on offense or defense, you’d see about 50/50.

• Team Thirds Percentage: Who is taking the third shots on your team? If one player is taking most of them, but you are struggling to win in shorter rallies, switch it up and let the other player take some. Who is taking the majority of the thirds on your opponent’s team? If you are losing, consider aiming at the neglected player to root out any weaknesses. 

Team Fourths and Team Fifths Percentage: These stats can reveal targeting patterns for the fourth and fifth shots during rallies. For example, if you have a high team_fourths_percentage, it might indicate that your opponents are targeting you with their third shots.

Player Stats

This one has it all. There are many interesting stats to explore, like ball_directions, which enables you to discover patterns in your shot placements (are you favoring certain areas of the court?). 

Most important are the shot type breakdowns. They are the gray rows starting after the team_long_length_rallies_won stat.

• The gray rows break down each grouping of shots in a number of ways. The groupings include: backhands, dinks, drives, drops, fifths, forehands, fourths, kitchen_area, left_side_player, lobs, mid_court_area, near_baseline_area, near_left_sideline_area, near_midline_area, near_right_sideline_area, passing, poaches, resets, returns, right_side_player, serves, smashes, speedups, third_drives, third_drops, third_lobs, thirds.

• Each of those types of shots (groups) include: average_baseline_distance, average_height_above_net, average_quality, count, median_baseline_distance, median_height_above_net, speed_stats, outcome_stats. Some of these are really only useful for specific shot groups.

• Outcome stats are particularly important as they signal how well you pull off shots of each type. For example, if your speedup success percentage is quite low, you should consider when and how well you are speeding up the ball.

Interpreting the Data

Let's look at a few more examples of how to interpret some of the stats in the Player Stats sheet.

1. Shot Quality by Type: If your dinks have a higher average quality than your drives, it might be time to focus on improving your power game.

2. Ball Directions: A high left_cross_right_count could indicate a strong forehand cross-court shot, but also a potential overreliance on that type of shot that opponents might exploit.

3. Role Data: Compare your performance when serving vs. receiving. Are you more likely to get to the kitchen when your team is serving? This could inform your strategy and areas for improvement.

4. Speed Stats: Look at the speed differentials between your fastest and median shots. A wide gap could suggest inconsistency or strategic variation in your play.

Outcome Stats: Pay attention to your success_percentage and rally_won_percentage for different shot types. This can help you identify which shots are most effective for you in winning points.

Share your ideas!

We're excited to see how you'll use these stats to elevate your game!

We're continuously improving and expanding our offerings. If you have any feedback or suggestions for additional stats, please come chat with us on the Discord #pickleball_stats channel.