Central Basketball League

The Central Basketball League was an early regional professional or semi-pro basketball league based in Ohio and Pennsylvania. The league disbanded on November 12, 1912 after playing a few exhibition games. Joseph "Joe" Meech Leithead served as Secretary prior to 1908 and President of the League for four years 1908-1912. Previously, Leithead was coach and captain of the Pittsburgh's South Side team from 1899-1907. "Joe Leithead Retires from the Floor Game" 10/20/43 Pittsburgh Sun Telegraph article by Harry Keck (sports editor) "Low Score Basketball Games Recalled by Vets' Reunion - Joe Leithead Honor Guest".

Complete team list

Champions
gollark: Basically, if I want to run a search it just goes `SELECT * FROM page_tokens WHERE token = 'one token in search query'` or something like that, and it now has a list of pages with the right token, and SQLite can execute this query relatively fast.
gollark: I mean, as far as I can tell there isn't really a faster *and* more storage-efficient way to do search than the inverted-index page_tokens thing.
gollark: ```sqlCREATE TABLE crawl_queue ( id INTEGER PRIMARY KEY, url TEXT NOT NULL UNIQUE, lockTime INTEGER, added INTEGER NOT NULL, referrer TEXT);CREATE TABLE pages ( id INTEGER PRIMARY KEY, url TEXT NOT NULL UNIQUE, rawContent BLOB NOT NULL, rawFormat TEXT NOT NULL, textContent TEXT NOT NULL, updated INTEGER NOT NULL);CREATE TABLE page_tokens ( id INTEGER PRIMARY KEY, page INTEGER NOT NULL REFERENCES pages(id), token TEXT NOT NULL, weight REAL NOT NULL);CREATE TABLE links ( id INTEGER PRIMARY KEY, toURL TEXT NOT NULL, fromURL TEXT NOT NULL, lastSeen INTEGER NOT NULL, UNIQUE (toURL, fromURL))```Here is the database.
gollark: To be fair, the text content field isn't that necessary, as for search it uses the page_tokens table anyway and it can be rebuilt from the HTML if I need it.
gollark: The frequency of every word *must* be stored for quick (O(log n) time or something) search, the raw HTML or at least might be needed if I come up with a better way to weight frequency or something, the links are useful for (future) better search ranking algorithms.
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