Ballon d'Or 2026: 4th PlacePolymarket historical data and price history
Ballon d'Or 2026: 4th Place: a standalone Polymarket sports event with 30 markets and $39.0K in lifetime traded volume. 30 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 25, 2026.
Data as of 2026-10-26
Top 5 of 30 markets
Will Lionel Messi finish 4th in the 2026 Ballon d'Or?
closes 2027-01-01 · volume $2.9K · last price 13.5%
Will Kylian Mbappé finish 4th in the 2026 Ballon d'Or?
closes 2027-01-01 · volume $2.3K · last price 10.2%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Ballon d'Or 2026: 4th Place", 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=datetime.now(timezone.utc) - timedelta(days=2))
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Ballon d'Or 2026: 4th Place"?
30 markets with full depth L2 order book history recorded since October 25, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Ballon d'Or 2026: 4th Place" traded on Polymarket?
$39.0K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Ballon d'Or 2026: 4th Place" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Ballon d'Or 2026: 4th Place", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work; the free tier reads markets open in the last 7 days and Pro the full archive.
Related events: F1 Drivers' Champion, Pro Football: 2027 Champion, Ballon d'Or Winner 2026, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens