Overview

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PPA Ororo Indoor National Championships 2022
Life Time Lakeville - Lakeville, MN

Anna Leigh Waters & Leigh Waters def. Jesse Irvine & Catherine Parenteau
(12-10, 7-11, 11-8)

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Temp: ~67°F
Winds: 0 mph
Ball: Dura Fast 40
Altitude: 971′ (Low)
% Humidity: Unknown

Conditions

over 147 rallies, including:
147 serves
145 returns
615 dinks
and 20 lobs!

1,823 shots hit

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Average Rally Length (shots)
This match had relatively long lasting rallies.

% Rallies won while Serving
Winning the rally while serving was relatively difficult.

% of Rallies with a Dink Battle
An expected % of rallies contained at least one dink battle.

Third Shot Analysis

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Third Shot Type & Frequency by Player

Most Frequent Thirds

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the Leigh Waters Drive (57.1%)

given to the third shot resulting in the highest % of rallies won (min. 10 attempts)

Golden Paddle Award


the Leigh Waters Drop (67.4%)

given to the third shot that resulted in the serving team getting to a dink rally the highest % of the time (min. 10 attempts)

Soft Touch Award


the Leigh Waters Drive (9.5%)

given to the third shot that resulted in the highest rate of errors on the subsequent 4th (min. 10 attempts)

Grillmaster Award

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Third Shot Summary by Team & Player

Transition Zone Analysis

Dink Rally Analysis

About

About the pklmart

The mission of the pklmart is to allow pickleball players, spectators, and professionals to view the game from a data-centric perspective.

Do lobs actually work? Do timeouts really make a difference? Do the pros ever miss returns? These are the types of questions the pklmart may help you answer!

OK great, but what is the pklmart?

Currently the pklmart consists of 3 main components:

1. pklmart Data Entry UI: A basic interface to allow users to more easily collect data while watching a match replay. Data is then transformed and exported to…
2. pklmart Data Warehouse: A relational database storing all the detailed data produced by users while using the Data Entry UI.
3. pklmart Match Report: What you are looking at now! Powered directly by data stored in the Data Warehouse.



Questions? Feedback? Want to help collect data? Let us know!