928 comparisons among 789 agents.
| Description | pklmart doubles pickleball game results, 2021-2025: 928 games between 789 two-player teams, skill levels 2.5 to Pro, entered by players through the pklmart data-entry tool. One row per game; agent_a = winning team; scores, match, skill level and scoring format kept. |
|---|---|
| Reference | pklmart (2025). pklmart's Competitive Pickleball Extracts (version 6). Kaggle. https://www.kaggle.com/datasets/cakesofspan/pklmarts-competitive-pickleball-extracts |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://www.kaggle.com/datasets/cakesofspan/pklmarts-competitive-pickleball-extracts |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Comparisons | 928 |
|---|---|
| Agents | 789 |
agent_aagent_bball_typedategame_idgame_nbrhomefieldmatch_idn_ralliesscore_ascore_bscoring_typeskill_lvlwinner
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("pklmart_pickleball_2021_2025", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("pklmart_pickleball_2021_2025", source="comp")
@dataset{pklmart2025,
author = {pklmart},
title = {pklmart's Competitive Pickleball Extracts},
version = {6},
year = {2025},
publisher = {Kaggle},
url = {https://www.kaggle.com/datasets/cakesofspan/pklmarts-competitive-pickleball-extracts}
}
| IRW version | v607 |
|---|---|
| Redivis dataset | irw_competitions v6.3 |
| Redivis dataset DOI | 10.57761/7qpg-cj26 |
| Manifest pin for this IRW version | v6.3 |
| Metadata source | irw_meta v47.0 |