MLS: 2026 Golden Boot WinnerPolymarket historical data and price history
MLS: 2026 Golden Boot Winner: a standalone Polymarket sports event with 59 markets and $934.4K in lifetime traded volume. 28 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 15, 2026.
Data as of 2026-09-17
Top 5 of 59 markets
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="MLS: 2026 Golden Boot Winner", 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 "MLS: 2026 Golden Boot Winner"?
59 markets with full depth L2 order book history recorded since September 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "MLS: 2026 Golden Boot Winner" traded on Polymarket?
$934.4K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "MLS: 2026 Golden Boot Winner" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "MLS: 2026 Golden Boot Winner", 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