MLB: Doubles Leader
A standalone Polymarket sports event with 91 markets and $1.1M in lifetime traded volume. 41 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 1, 2026.
Data as of 2026-09-04
Top 5 of 91 markets
Will Bryan Reynolds lead the MLB in doubles for the 2026 regular season?
closes 2026-10-11 · volume $227.8K · last price 15.4%
Will Freddie Freeman lead the MLB in doubles for the 2026 regular season?
closes 2026-10-11 · volume $3.1K · last price 14.4%
Will Matt Olson lead the MLB in doubles for the 2026 regular season?
closes 2026-10-11 · volume $7.8K · last price 14.0%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="MLB: Doubles Leader", 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 "MLB: Doubles Leader"?
91 markets with full depth L2 order book history recorded since September 1, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "MLB: Doubles Leader" traded on Polymarket?
$1.1M in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "MLB: Doubles Leader" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "MLB: Doubles Leader", 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