NCAA Football: 2027 National Champion
A standalone Polymarket sports event with 109 markets and $204.8K in lifetime traded volume. 16 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 7, 2026.
Data as of 2026-09-11
Top 5 of 109 markets
Will Notre Dame Fighting Irish win the 2027 CFP National Championship?
closes 2027-01-26 · volume $31.1K · last price 14.5%
Will Oregon Ducks win the 2027 CFP National Championship?
closes 2027-01-26 · volume $18.8K · last price 13.8%
Will Miami Hurricanes win the 2027 CFP National Championship?
closes 2027-01-26 · volume $28.0K · last price 12.4%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="NCAA Football: 2027 National Champion", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
book = client.orderbook.get(market.id, at="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "NCAA Football: 2027 National Champion"?
109 markets with full depth L2 order book history recorded since September 7, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "NCAA Football: 2027 National Champion" traded on Polymarket?
$204.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "NCAA Football: 2027 National Champion" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "NCAA Football: 2027 National Champion", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
Related events: F1 Drivers' Champion, Pro Football: 2027 Champion, MLB World Series Champion 2026, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens