#1 Searched Athlete on Google 2026?

A standalone Polymarket sports event with 82 markets and $64.8K in lifetime traded volume. 35 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 31, 2026.

Data as of 2026-09-04

Markets
82
Resolved
0
Traded volume
$64.8K
Collected since
2026-08-31

Top 5 of 82 markets

Will Erling Braut Haaland be the #1 searched athlete on Google this year?

closes 2026-12-31 · volume $6.2K · last price 46.0%

Will Alysa Liu be the #1 searched athlete on Google this year?

closes 2026-12-31 · volume $20.1K · last price 16.5%

Will Jalen Brunson be the #1 searched athlete on Google this year?

closes 2026-12-31 · volume $1.2K · last price 5.5%

Will Anthony Joshua be the #1 searched athlete on Google this year?

closes 2026-12-31 · volume $353 · last price 5.3%

Will Lamine Yamal be the #1 searched athlete on Google this year?

closes 2026-12-31 · volume $3.8K · last price 5.1%

Query this event

python
from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="#1 Searched Athlete on Google 2026", 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 "#1 Searched Athlete on Google 2026"?

82 markets with full depth L2 order book history recorded since August 31, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.

How much has "#1 Searched Athlete on Google 2026" traded on Polymarket?

$64.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.

How do I download "#1 Searched Athlete on Google 2026" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "#1 Searched Athlete on Google 2026", 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.

bash
$ pip install marketlens