Where will Rodri transfer?
A standalone Polymarket sports event with 16 markets and $639.6K in lifetime traded volume. 5 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 15, 2026.
Data as of 2026-08-16
Top 5 markets by volume
Will Rodri join Barcelona?
closes 2026-09-02 · volume $256.0K · last price 87.4%
Will Rodri join Real Madrid?
closes 2026-09-02 · volume $168.5K · last price 1.8%
Will Rodri stay at Manchester City?
closes 2026-09-02 · volume $119.4K · last price 10.8%
Will Rodri join Paris Saint-Germain?
closes 2026-09-02 · volume $65.6K · last price 0.40%
Will Rodri join Al-Hilal?
closes 2026-09-02 · volume $30.1K · last price 0.05%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Where will Rodri transfer", 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 "Where will Rodri transfer"?
16 markets with full depth L2 order book history recorded since August 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Where will Rodri transfer" traded on Polymarket?
$639.6K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Where will Rodri transfer" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Where will Rodri transfer", 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 5M 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 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens