NBA Prediction Market Data
Tick-by-tick trades and L2 order-book depth for 98 NBA series on Kalshi & OG.com & Polymarket & predict.fun — NBA game spreads and totals, player points/rebounds/assists props, MVP and draft picks. 9,343 series-days covering May 2025 – present; 12.8M trades · $813.1M turnover over the last 30 captured days. Every contract captured co-located with nanosecond venue and receive timestamps — sold as day bundles, €1 per day, bought as a guest with instant download.
NBA on Kalshi & OG.com & Polymarket & predict.fun
Game winners, spreads, totals, player props, awards and draft markets on the NBA.
Every series below is archived at full feed resolution — each contract file carries every trade print (price, size, side) and Level-2 order-book updates in one normalized, zstd-compressed schema. A series-day bundle holds all contracts of the series for one UTC day.
Most traded NBA series (last 30 days)
Ranked by USD turnover from our own daily statistics — the series a market maker or bot builder should start with.
| # | Series | Venue | Trades (30d) | Turnover (30d) | Days | |
|---|---|---|---|---|---|---|
| 1 | Pro Basketball Game | Kalshi | 5,311,385 | $350.8M | 30 | Buy days |
| 2 | NBA (games & props) | Polymarket | 1,007,873 | $189.0M | 30 | Buy days |
| 3 | Pro Basketball Total Points | Kalshi | 1,638,544 | $78.3M | 30 | Buy days |
| 4 | Pro Basketball Spread | Kalshi | 1,655,658 | $75.9M | 30 | Buy days |
| 5 | Pro Basketball Player Points | Kalshi | 870,495 | $34.8M | 21 | Buy days |
| 6 | Pro Basketball 1st Half Total Points | Kalshi | 338,965 | $11.4M | 30 | Buy days |
| 7 | Pro Basketball Player Rebounds | Kalshi | 264,351 | $10.6M | 17 | Buy days |
| 8 | Pro Basketball Player Assists | Kalshi | 242,612 | $9.6M | 17 | Buy days |
| 9 | NBA (games & props) | OG.com | 116,838 | $9.6M | 27 | Buy days |
| 10 | Pro Basketball 1st Half Spread | Kalshi | 288,569 | $9.3M | 30 | Buy days |
Trades and USD turnover summed over every contract of the series, from the recorded tick data; 30 days to 2026-11-01. Series without statistics in the window are omitted.
NBA activity per venue
| Venue | Series | With stats | Trades (30d) | Turnover (30d) |
|---|---|---|---|---|
| Kalshi | 95 | 78 | 11,535,366 | $605.8M |
| Polymarket | 1 | 1 | 1,007,873 | $189.0M |
| OG.com | 1 | 1 | 116,838 | $9.6M |
| predict.fun | 1 | 1 | 142,710 | $8.7M |
30 days to 2026-11-01, from our own daily statistics per contract.
NBA — development since capture
13,943,124 trades and $880.0M of USD turnover across 88 series since 2026-07-08; busiest single series-day 2026-10-31 with $32.5M, biggest contract KXNBAGAME-26OCT20PHINYK-PHI (2026-10-21, $5.9M).
| Month | Series active | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|---|
| Nov 2026 (month to date) | 76 | 1 | 533,277 | $31.9M | $31.9M | 6,046 | 172.4M | — |
| Oct 2026 | 81 | 31 | 12,273,440 | $781.3M | $25.2M | 126,757 | 3.4B | +51837.0 % |
| Sep 2026 | 41 | 30 | 38,102 | $1.5M | $50.1K | 5,746 | 38.0M | −30.3 % |
| Aug 2026 | 27 | 31 | 68,311 | $2.2M | $69.7K | 5,500 | 38.1M | −96.6 % |
| Jul 2026 | 16 | 24 | 1,029,994 | $63.2M | $2.6M | — | — | — |
NBA series — trades and USD turnover summed per calendar month (UTC) over every contract, from our own daily statistics of the recorded tick data. Days = captured UTC days; a partial month shows no month-over-month change. Contracts traded and L2 (order-book) updates exist for days captured with the extended statistics.
NBA — turnover by weekday
Thursdays are the busiest day at about $36.4M of USD turnover, averaged over the captured days of the last 30.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $13.2M | 198.5K | 4 | |
| Tuesday | $23.6M | 393.3K | 4 | |
| Wednesday | $32.9M | 491.5K | 4 | |
| Thursday | $36.4M | 576.3K | 4 | |
| Friday | $30.0M | 454.7K | 4 | |
| Saturday | $33.5M | 541.2K | 5 | |
| Sunday | $20.3M | 327.9K | 5 |
NBA series — average USD turnover and trades per weekday over the captured days of the last 30, from our own daily statistics; weekdays without a captured day show —.
Rising NBA series — 30 days vs the 30 before
| # | Series | Venue | Turnover (30d) | Prior 30d | Growth (avg / day) | Trades (30d) |
|---|---|---|---|---|---|---|
| 1 | NBA (games & props) | Polymarket | $189.0M | $2.4K | +7886867.4 % | 1,007,873 |
| 2 | Pro Basketball Game | Kalshi | $350.8M | $53.6K | +654665.9 % | 5,311,385 |
| 3 | Who is the Next NBA Coach of Team | Kalshi | $59.1K | $1.1K | +8772.1 % | 65 |
| 4 | Pro Basketball Sixth Man of the Year | Kalshi | $36.2K | $717.89 | +4947.8 % | 3,911 |
| 5 | Pro Basketball Cup Champion | Kalshi | $24.1K | $585.46 | +4017.1 % | 3,923 |
Growth of average USD turnover per captured day, the 30 days to 2026-11-01 against the 30 days before; series need ≥ 10 captured days in both windows and ≥ $10K of turnover in the current one. From our own daily statistics.
NBA prediction markets — trades and turnover per day
Every captured UTC day of the last 30, summed over the 98 NBA series — how much these markets trade day by day, from our own tick capture.
| UTC day | Series with stats | Contracts traded | Trades | Turnover | Buy share | L2 updates |
|---|---|---|---|---|---|---|
| 2026-11-01 | 76 | 6,046 | 533,277 | $31.9M | 60 % | 172.4M |
| 2026-10-31 | 76 | 10,695 | 1,189,770 | $78.3M | 66 % | 291.2M |
| 2026-10-30 | 76 | 7,666 | 625,145 | $41.5M | 67 % | 200.4M |
| 2026-10-29 | 76 | 9,611 | 984,036 | $65.3M | 62 % | 213.3M |
| 2026-10-28 | 77 | 8,874 | 885,897 | $64.8M | 66 % | 214.5M |
| 2026-10-27 | 77 | 8,960 | 867,479 | $55.1M | 62 % | 214.9M |
| 2026-10-26 | 78 | 8,632 | 575,328 | $44.7M | 60 % | 184.3M |
| 2026-10-25 | 78 | 9,935 | 889,832 | $61.3M | 62 % | 232.3M |
| 2026-10-24 | 78 | 10,841 | 1,054,277 | $68.0M | 64 % | 255.2M |
| 2026-10-23 | 79 | 8,360 | 840,078 | $61.9M | 63 % | 218.4M |
| 2026-10-22 | 79 | 10,336 | 935,261 | $60.9M | 66 % | 239.0M |
| 2026-10-21 | 79 | 7,553 | 704,090 | $49.1M | 66 % | 148.6M |
| 2026-10-20 | 77 | 3,098 | 403,342 | $25.7M | 66 % | 72.2M |
| 2026-10-19 | 71 | 1,362 | 17,294 | $600.7K | 84 % | 27.9M |
| 2026-10-18 | 68 | 974 | 9,783 | $255.0K | 71 % | 21.0M |
| 2026-10-17 | 67 | 1,938 | 382,483 | $16.3M | 61 % | 91.3M |
| 2026-10-16 | 68 | 1,754 | 145,196 | $6.2M | 66 % | 63.3M |
| 2026-10-15 | 59 | 1,734 | 220,302 | $9.9M | 66 % | 83.2M |
| 2026-10-14 | 57 | 2,058 | 230,240 | $10.1M | 62 % | 78.9M |
| 2026-10-13 | 57 | 1,378 | 135,886 | $5.8M | 62 % | 55.1M |
| 2026-10-12 | 57 | 1,228 | 128,989 | $4.8M | 65 % | 47.5M |
| 2026-10-11 | 57 | 1,436 | 172,730 | $6.6M | 66 % | 73.1M |
| 2026-10-10 | 57 | 1,043 | 65,833 | $4.1M | 63 % | 43.0M |
| 2026-10-09 | 58 | 1,368 | 208,440 | $10.4M | 64 % | 79.0M |
| 2026-10-08 | 57 | 1,366 | 165,580 | $9.4M | 59 % | 65.5M |
| 2026-10-07 | 55 | 1,131 | 145,949 | $7.6M | 62 % | 53.3M |
| 2026-10-06 | 55 | 1,150 | 166,293 | $7.8M | 63 % | 63.9M |
| 2026-10-05 | 47 | 823 | 72,417 | $2.6M | 62 % | 59.1M |
| 2026-10-04 | 46 | 520 | 33,855 | $1.4M | 64 % | 19.7M |
| 2026-10-03 | 46 | 344 | 13,705 | $706.9K | 69 % | 15.4M |
Per UTC day, summed over every NBA series that has statistics for that day, from every trade print of every contract in our tick archive. Trades and USD turnover are exact; contracts traded, buy share and L2 (order-book) updates exist for days captured with the extended statistics — earlier days show —.
Most traded NBA contracts on 2026-11-01
The single event contracts with the most USD turnover on the newest captured day — with open and close price and the outcome implied by the last print.
| Contract | Series | Venue | Open → Close | Implied outcome | Trades | Turnover | |
|---|---|---|---|---|---|---|---|
| KXNBAGAME-26OCT31PHICHA-PHI | Pro Basketball Game | Kalshi | 0.310 → 0.990 | Yes | 30,308 | $2.6M | buy file → |
| nba-phi-cha-2026-10-31 | NBA (games & props) | Polymarket | 0.290 → 0.999 | Yes | 2,292 | $1.7M | buy file → |
| KXNBAGAME-26NOV01BOSORL-BOS | Pro Basketball Game | Kalshi | 0.660 → 0.990 | Yes | 17,047 | $1.6M | buy file → |
| nba-cle-mil-2026-10-31 | NBA (games & props) | Polymarket | 0.750 → 0.999 | Yes | 889 | $1.4M | buy file → |
| KXNBAGAME-26OCT31OKCHOU-HOU | Pro Basketball Game | Kalshi | 0.580 → 0.990 | Yes | 7,417 | $991.4K | buy file → |
| KXNBAGAME-26OCT31MINSAS-SAS | Pro Basketball Game | Kalshi | 0.840 → 0.990 | Yes | 6,925 | $825.7K | buy file → |
| KXNBAGAME-26OCT31MINSAS-MIN | Pro Basketball Game | Kalshi | 0.170 → 0.010 | No | 30,521 | $725.1K | buy file → |
| nba-bos-orl-2026-11-01 | NBA (games & props) | Polymarket | 0.660 → 0.999 | Yes | 2,917 | $690.2K | buy file → |
| KXNBAGAME-26OCT31ATLNOP-NOP | Pro Basketball Game | Kalshi | 0.710 → 0.990 | Yes | 4,586 | $664.0K | buy file → |
| KXNBAGAME-26OCT31PHICHA-CHA | Pro Basketball Game | Kalshi | 0.690 → 0.010 | No | 12,597 | $630.0K | buy file → |
Single contracts ranked by USD turnover on 2026-11-01 (UTC), from every trade print in our tick archive. Prices quote 0..1; the implied outcome reads the last print of the day (≥ 0.97 Yes/Up, ≤ 0.03 No/Down) — venues publish the official result. Each contract’s day file is sold individually, the whole series day as a bundle.
Kalshi NBA series
Largest archive first. Each series page lists its exact coverage, day count and recent days; day bundles are bought in the shop calendar.
Polymarket NBA series
Largest archive first. Each series page lists its exact coverage, day count and recent days; day bundles are bought in the shop calendar.
| Series | Venue | Interval | Days | Coverage | Size | Price/day | |
|---|---|---|---|---|---|---|---|
| NBA (games & props) | Polymarket | event | 545 | May 2025 – present | 96.4 GB | €1 | Buy days |
predict.fun NBA series
Largest archive first. Each series page lists its exact coverage, day count and recent days; day bundles are bought in the shop calendar.
| Series | Venue | Interval | Days | Coverage | Size | Price/day | |
|---|---|---|---|---|---|---|---|
| NBA (games & props) | predict.fun | event | 24 | October 2026 – present | 3.03 GB | €1 | Buy days |
OG.com NBA series
Largest archive first. Each series page lists its exact coverage, day count and recent days; day bundles are bought in the shop calendar.
| Series | Venue | Interval | Days | Coverage | Size | Price/day | |
|---|---|---|---|---|---|---|---|
| NBA (games & props) | OG.com | event | 27 | October 2026 – present | 973 MB | €1 | Buy days |
NBA — market types across 98 series
279,668 contracts listed as of 2026-11-02, read from each contract's venue identifier — Kalshi lists each type as its own series, Polymarket, predict.fun and OG.com one family per league.
| Market type | Contracts listed (all time) | Listed last 30 days | Share |
|---|---|---|---|
| player & team props | 119,823 | 41,697 | 43 % |
| total / over-under | 62,012 | 28,793 | 22 % |
| spread / handicap | 44,368 | 20,441 | 16 % |
| period markets | 3,979 | 158 | 1 % |
| moneyline / winner | 3,723 | 813 | 1 % |
| strike ladder | 270 | 0 | 0 % |
| other | 45,493 | 24,359 | 16 % |
| Total | 279,668 | 116,261 | 100 % |
NBA series— market type read from each contract's venue identifier (ticker suffix on Kalshi, slug suffix on Polymarket, market description on predict.fun and OG.com), counted over every contract listed in the family as of 2026-11-02; “listed last 30 days” counts contracts whose venue settlement time falls in that window. Every one of them is in the day bundle of its day.
Why buy NBA prediction-market data here
Four things every page on this site is built on — and the reason the numbers above exist at all.
We record everything
The complete public feed of each venue as it was published: every Level-2 snapshot and update at the venue's full book depth, every trade with its aggressor side, every quote, funding, mark-price and liquidation event — for every instrument the venue lists, every UTC day since we added the venue. Nothing sampled, no top-N cut, no on-demand capture.
Institutional grade
Captured co-located at the venue with the exchange timestamp and our receive timestamp in integer nanoseconds, an event-id chain that makes any gap visible, and one normalized schema across 35+ venues — the same capture our own high-frequency trading engine and enterprise feeds run on.
€1 per instrument-day
Any instrument-day is €1, series-day bundles start at €1 — no subscription, no minimum order, no tiers to unlock. Credit packs lower the effective price and never expire, and every venue has free full-day samples to test against first.
Self-service for everyone
Pick the days in the Data Shop, pay by card as a guest and download immediately — no sales call, no enterprise contract, no KYC. Coding agents buy the same files through the MCP server, and the free Agent Skill teaches them the format.
Agents: /llms.txt · MCP server /mcp · every page as markdown via Accept: text/markdown
NBA prediction-market data — FAQ
Does Kalshi have NBA markets?
Yes — Kalshi lists NBA game winners, spreads, totals, first-half lines, player props (points, rebounds, assists, threes, steals, double-doubles), season win totals, MVP and draft markets. Every series has its own page below with exact coverage. Polymarket NBA game and prop markets are archived as one family.
Where can I download NBA prediction-market historical data?
On this page: pick a series, then buy the days you need in the shop calendar. One purchase covers every contract of the series for one UTC day — every trade print and the complete Level-2 book per contract, captured co-located with nanosecond timestamps — €1 per series-day, bought as a guest with instant download.
How far back does the NBA data go?
Coverage runs May 2025 – present — 9,343 series-days across 98 series on Kalshi & OG.com & Polymarket & predict.fun. Each series page lists its exact span.
Can I get NBA prediction-market data as CSV or Parquet?
Yes — trades export as gzipped CSV or Parquet at no extra cost, with integer microsecond UTC timestamps that load straight into pandas, polars or DuckDB. Kalshi, OG.com, Polymarket and predict.fun record full order-book depth without a separate BBO stream, so book data ships in the native tick file — the free reader script converts it locally. See the formats overview.
How much does NBA prediction-market data cost?
€1 per series-day bundle — every contract of the series for that UTC day — no subscription, no minimum order. Pick days in the shop calendar, pay as a guest, download immediately.
Do I need an account or a sales call?
No. Pick the NBA series-days in the Data Shop, pay by card as a guest and download immediately — no subscription, no minimum order, no KYC, no enterprise contract, no sales call. Coding agents buy the same bundles through the MCP server.
How is the NBA data captured?
Co-located at the venue, message by message: every Level-2 update and every trade print carries the exchange timestamp and our receive timestamp in integer nanoseconds, an event-id chain makes any gap visible, and one normalized schema across 35+ venues means a parser written for Binance reads these files unchanged. It is the same capture our own high-frequency trading engine runs on — nothing sampled, no top-N cut.
Which market types are in the NBA data?
As of 2026-11-02 the 98 NBA series with a market-type snapshot had listed 279,668 contracts: player & team props 119,823 · total / over-under 62,012 · spread / handicap 44,368 · period markets 3,979 · moneyline / winner 3,723 · strike ladder 270 — counted from every contract file of each family across Kalshi, OG.com, Polymarket, predict.fun. Kalshi splits these into separate series; Polymarket, predict.fun and OG.com list one family per league. Each series page shows its own mix.
What was the busiest NBA trading day?
2026-10-31 — $32.5M of USD turnover over 430,014 trades in a single series-day. Since our statistics began on 2026-07-08, 88 NBA series recorded 13,943,124 trades and $880.0M in total; the biggest single contract was KXNBAGAME-26OCT20PHINYK-PHI on 2026-10-21 at $5.9M. Thursdays are the busiest weekday at about $36.4M per day.