NBA: 2027 Champion
A standalone Polymarket sports event with 36 markets and $17.7M in lifetime traded volume. 30 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 15, 2026.
Data as of 2026-08-16
Top 5 markets by volume
Will Philadelphia 76ers win the 2027 NBA Finals?
closes 2027-07-01 · volume $985.6K · last price 13.2%
Will Golden State Warriors win the 2027 NBA Finals?
closes 2027-07-01 · volume $914.5K · last price 1.1%
Will Detroit Pistons win the 2027 NBA Finals?
closes 2027-07-01 · volume $786.0K · last price 2.9%
Will Utah Jazz win the 2027 NBA Finals?
closes 2027-07-01 · volume $769.9K · last price 0.75%
Will Atlanta Hawks win the 2027 NBA Finals?
closes 2027-07-01 · volume $766.5K · last price 0.95%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="NBA: 2027 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 "NBA: 2027 Champion"?
36 markets with full depth L2 order book history recorded since August 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "NBA: 2027 Champion" traded on Polymarket?
$17.7M in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "NBA: 2027 Champion" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "NBA: 2027 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 5M 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 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens