NBA: 2026-27 Rookie of the YearPolymarket historical data and price history
NBA: 2026-27 Rookie of the Year: a standalone Polymarket sports event with 81 markets and $7.9M in lifetime traded volume. 30 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 16, 2026.
Data as of 2026-09-17
Top 5 of 81 markets
Will Caleb Wilson win the 2026-27 NBA Rookie of the Year?
closes 2027-05-31 · volume $25.5K · last price 23.5%
Will Cameron Boozer win the 2026-27 NBA Rookie of the Year?
closes 2027-05-31 · volume $14.0K · last price 22.5%
Will AJ Dybantsa win the 2026-27 NBA Rookie of the Year?
closes 2027-05-31 · volume $17.6K · last price 18.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="NBA: 2026-27 Rookie of the Year", 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: 2026-27 Rookie of the Year"?
81 markets with full depth L2 order book history recorded since September 16, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "NBA: 2026-27 Rookie of the Year" traded on Polymarket?
$7.9M 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: 2026-27 Rookie of the Year" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "NBA: 2026-27 Rookie of the Year", 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 1M 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 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens