Pro Football: 2026-27 1,000+ Receiving YardsPolymarket historical data and price history
Pro Football: 2026-27 1,000+ Receiving Yards: a standalone Polymarket sports event with 40 markets and $27.3K in lifetime traded volume. 40 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 2, 2026.
Data as of 2026-10-05
Top 5 of 40 markets
Will DK Metcalf have 1,000+ receiving yards in the 2026-27 NFL regular season?
closes 2027-01-27 · volume $918 · last price 49.5%
Will Chris Godwin have 1,000+ receiving yards in the 2026-27 NFL regular season?
closes 2027-01-27 · volume $1.2K · last price 48.5%
Will Ladd McConkey have 1,000+ receiving yards in the 2026-27 NFL regular season?
closes 2027-01-27 · volume $100 · last price 48.5%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Pro Football: 2026-27 1,000+ Receiving Yards", 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 "Pro Football: 2026-27 1,000+ Receiving Yards"?
40 markets with full depth L2 order book history recorded since October 2, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Pro Football: 2026-27 1,000+ Receiving Yards" traded on Polymarket?
$27.3K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Pro Football: 2026-27 1,000+ Receiving Yards" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Pro Football: 2026-27 1,000+ Receiving Yards", 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.
$ pip install marketlens