Ballon d'Or 2026: Kylian Mbappé or Lamine Yamal to finish higher?Polymarket historical data and price history

Ballon d'Or 2026: Kylian Mbappé or Lamine Yamal to finish higher: a standalone Polymarket sports event with 1 market and $48.9K in lifetime traded volume. 1 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 10, 2026.

Data as of 2026-10-12

Markets
1
Resolved
0
Traded volume
$48.9K
Avg volume / market
$48.9K
Cadence
standalone
Coverage from
2026-10-10
Data through
now
Category
Sports

The market in this event

Ballon d'Or 2026: Kylian Mbappé or Lamine Yamal to finish higher?

closes 2027-01-01 · volume $48.9K · last price 52.5%

Query this event

python
from datetime import datetime, timedelta, timezone from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="Ballon d'Or 2026: Kylian Mbappé or Lamine Yamal to finish higher", 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: Kylian Mbappé or Lamine Yamal to finish higher"?

1 markets with full depth L2 order book history recorded since October 10, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.

How much has "Ballon d'Or 2026: Kylian Mbappé or Lamine Yamal to finish higher" traded on Polymarket?

$48.9K 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: Kylian Mbappé or Lamine Yamal to finish higher" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "Ballon d'Or 2026: Kylian Mbappé or Lamine Yamal to finish higher", 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, UEFA Champions League: 2027 Champion, 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.

bash
$ pip install marketlens