Recording 4 venues
pm:nba-2026-27-all-nba-first-teamPolymarketSports31 open on Nov 9

NBA: 2026-27 All-NBA First Team odds & historical data

 

NBA: 2026-27 All-NBA First Team price history on Polymarket: 31 markets, order books, trades and on-chain fills, as daily Parquet files.

Example market: Will Luka Doncic be named to the 2027 All-NBA First Team?

3.1 million rows31 markets23.8 MB4 datasets, full order book includedUpdated daily

Datasets

One file per dataset per UTC day. Data dictionary · Hourly coverage

DatasetWhat it holdsPlanSample
Polymarket order book
polymarket_l2
Every Polymarket CLOB snapshot and price-level change, for both outcome tokens of every market.
9 columns
  • ts_recvtimestamp[ns, UTC]
  • ts_venuetimestamp[ns, UTC]
  • tickerstring
  • seriesstring
  • is_snapshotbool
  • sidestring
  • pricefloat64
  • sizefloat64
  • tick_sizefloat64
Full bookSampleParquet·CSV
Polymarket trades
polymarket_trades
Every Polymarket CLOB trade: outcome price, size, taker side, fee, and transaction hash.
9 columns
  • ts_recvtimestamp[ns, UTC]
  • ts_venuetimestamp[ns, UTC]
  • tickerstring
  • seriesstring
  • pricefloat64
  • sizefloat64
  • sidestring
  • fee_rate_bpsfloat64
  • transaction_hashstring
ResearchSampleParquet·CSV
Polymarket on-chain fills
polymarket_fills
Every OrderFilled log from the Polymarket exchange contracts on Polygon.
19 columns
  • ts_recvtimestamp[ns, UTC]
  • ts_venuetimestamp[ns, UTC]
  • tickerstring
  • seriesstring
  • exchangestring
  • order_hashstring
  • makerstring
  • takerstring
  • sidestring
  • pricefloat64
  • sizefloat64
  • fee_usdcfloat64
  • maker_amountstring
  • taker_amountstring
  • feestring
  • is_summarybool
  • transaction_hashstring
  • block_numberint64
  • log_indexint64
ResearchSampleParquet·CSV
Polymarket markets
polymarket_markets
Every Polymarket market with order book or trade data in the day: question, outcomes, tick size, and end time.
9 columns
  • ts_recvtimestamp[ns, UTC]
  • tickerstring
  • slugstring
  • questionstring
  • outcomesstring
  • tick_sizefloat64
  • neg_riskbool
  • end_tstimestamp[ns, UTC]
  • accepting_ordersbool
ExplorerSampleParquet·CSV
# pip install "kalshieye[pandas]"
from kalshieye import Client

kx = Client()  # reads KALSHIEYE_API_KEY
df = kx.load("polymarket_l2", "2026-11-08", "2026-11-08", series="pm:nba-2026-27-all-nba-first-team")

Related Polymarket series

All Polymarket series