The parkrun p-index is an unofficial statistic that measures the number of different parkrun events a person has completed a specific number of times. To achieve a p-index of 10, you must have completed at least 10 different parkrun events 10 times each. This script calculate the p-index for a parkrunner and displays it on their results page.
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// ==UserScript==
// @name parkrun p-index display
// @description The parkrun p-index is an unofficial statistic that measures the number of different parkrun events a person has completed a specific number of times. To achieve a p-index of 10, you must have completed at least 10 different parkrun events 10 times each. This script calculate the p-index for a parkrunner and displays it on their results page.
// @author Pete Johns (@johnsyweb)
// @grant none
// @homepage https://github.com/johnsyweb/tampermonkey-parkrun
// @icon https://www.google.com/s2/favicons?sz=64&domain=parkrun.com.au
// @license MIT
// @match *://www.parkrun.ca/parkrunner/*/all/
// @match *://www.parkrun.co.at/parkrunner/*/all/
// @match *://www.parkrun.co.nl/parkrunner/*/all/
// @match *://www.parkrun.co.nz/parkrunner/*/all/
// @match *://www.parkrun.co.za/parkrunner/*/all/
// @match *://www.parkrun.com.au/parkrunner/*/all/
// @match *://www.parkrun.com.de/parkrunner/*/all/
// @match *://www.parkrun.dk/parkrunner/*/all/
// @match *://www.parkrun.fi/parkrunner/*/all/
// @match *://www.parkrun.fr/parkrunner/*/all/
// @match *://www.parkrun.ie/parkrunner/*/all/
// @match *://www.parkrun.it/parkrunner/*/all/
// @match *://www.parkrun.jp/parkrunner/*/all/
// @match *://www.parkrun.lt/parkrunner/*/all/
// @match *://www.parkrun.my/parkrunner/*/all/
// @match *://www.parkrun.no/parkrunner/*/all/
// @match *://www.parkrun.org.uk/parkrunner/*/all/
// @match *://www.parkrun.pl/parkrunner/*/all/
// @match *://www.parkrun.se/parkrunner/*/all/
// @match *://www.parkrun.sg/parkrunner/*/all/
// @match *://www.parkrun.us/parkrunner/*/all/
// @namespace http://tampermonkey.net/
// @run-at document-end
// @supportURL https://github.com/johnsyweb/tampermonkey-parkrun/issues/
// @tag parkrun
// @version 2025-04-28 19:55 10:42
// ==/UserScript==
(function () {
'use strict';
if (typeof module !== 'undefined' && module.exports) {
module.exports = {
calculatePIndex,
extractEventDetails,
findResultsTable,
};
} else {
main();
}
function main() {
const table = findResultsTable();
if (!table) {
console.error('Results table not found');
return;
}
const eventDetails = extractEventDetails(table);
const { pIndex, contributingEvents } = calculatePIndex(eventDetails);
displayPIndex(pIndex, contributingEvents);
}
function displayPIndex(pIndex, contributingEvents) {
const h2Element = document.querySelector('h2');
if (h2Element) {
const pIndexElement = document.createElement('div');
pIndexElement.textContent = 'p-index: ' + pIndex;
pIndexElement.style.fontSize = '1.5em';
pIndexElement.style.fontWeight = 'bold';
pIndexElement.style.marginTop = '10px';
pIndexElement.style.backgroundColor = '#2b223d';
pIndexElement.style.color = '#ffa300';
pIndexElement.style.padding = '10px';
pIndexElement.style.borderRadius = '5px';
pIndexElement.style.display = 'flex';
pIndexElement.style.flexDirection = 'column';
pIndexElement.style.alignItems = 'center';
pIndexElement.style.justifyContent = 'center';
pIndexElement.setAttribute('id', 'p-index-display');
const eventList = document.createElement('ul');
eventList.style.listStyleType = 'none';
eventList.style.padding = '0';
contributingEvents.forEach((event) => {
const listItem = document.createElement('li');
listItem.textContent = event;
listItem.style.fontWeight = 'normal';
listItem.style.fontSize = '1em';
eventList.appendChild(listItem);
});
pIndexElement.appendChild(eventList);
h2Element.parentNode.insertBefore(pIndexElement, h2Element.nextSibling);
setTimeout(() => {
const rect = pIndexElement.getBoundingClientRect();
const maxDimension = Math.max(rect.width, rect.height);
pIndexElement.style.width = maxDimension + 'px';
pIndexElement.style.height = maxDimension + 'px';
}, 0);
}
}
function extractEventDetails(table) {
const eventDetails = [];
const rows = table.querySelectorAll('tbody > tr');
rows.forEach((row) => {
const eventName = row.querySelector('td:nth-child(1) > a').textContent.trim();
const date = row.querySelector('td:nth-child(2)').textContent.trim();
const eventNumber = row.querySelector('td:nth-child(3)').textContent.trim();
eventDetails.unshift({ eventName, date, eventNumber });
});
// Group event details by event name
const groupedEvents = eventDetails.reduce((acc, { eventName, date, eventNumber }) => {
if (!acc[eventName]) {
acc[eventName] = [];
}
acc[eventName].push({ date, eventNumber });
return acc;
}, {});
// Convert groupedEvents to an array of entries and sort by the number of visits
const sortedGroupedEvents = Object.entries(groupedEvents).sort(
(a, b) => b[1].length - a[1].length
);
return sortedGroupedEvents;
}
function findResultsTable() {
const tables = document.querySelectorAll('#results');
return tables[tables.length - 1];
}
function calculatePIndex(eventDetails) {
const filteredGroupedEvents = eventDetails.filter(([, events], index) => events.length > index);
const pIndex = filteredGroupedEvents.length;
function convertDate(dateStr) {
return new Date(dateStr.split('/').reverse().join('-'));
}
const contributingEvents = filteredGroupedEvents
.map(([eventName, events]) => {
const first = events[0];
const pIndexReached = events[pIndex - 1];
return {
eventName,
eventCount: events.length,
firstDate: first.date,
firstEventNumber: first.eventNumber,
pIndexDate: pIndexReached.date,
pIndexEventNumber: pIndexReached.eventNumber,
firstDateForSorting: convertDate(first.date),
pIndexDateForSorting: convertDate(pIndexReached.date),
};
})
.sort((a, b) => a.pIndexDateForSorting - b.pIndexDateForSorting)
.slice(0, pIndex)
.map(
(event) =>
event.eventName + ' (' + event.eventCount + '): ' + event.firstDate + ' (#' + event.firstEventNumber + ') - ' + event.pIndexDate + ' (#' + event.pIndexEventNumber + ')'
);
return { pIndex, contributingEvents };
}
})();