KXNFLSPREAD: Kalshi Pro Football Spread markets in numbers
In the public Becker Kalshi dataset, the KXNFLSPREAD series (“Pro Football Spread”, Kalshi category Sports) had 5,969 markets in 210 events created Aug 18, 2025 to Nov 18, 2025, with 247,733,494 contracts traded; 19.7% of 5,501 settled markets resolved YES.
Historical snapshot · source: Becker Kalshi dataset and Kalshi public API · page updated · these numbers as JSON
Pro football point-spread markets. Each game event lists several spread lines, each asking whether a team wins by more than a given margin, settled on the governing league's results.
Key numbers
| Measure | Value |
|---|---|
| Markets | 5,969 |
| Events | 210 |
| Contracts traded | 247,733,494 |
| Markets never traded | 3,015 (50.5%) |
| Settled markets (yes or no) | 5,501 |
| Resolved YES | 1,085 (19.7% of settled) |
| Resolved NO | 4,416 (80.3% of settled) |
| First market created | Aug 18, 2025 |
| Last market created | Nov 18, 2025 |
Kalshi title: Pro Football Spread · frequency: custom · settlement sources listed by Kalshi: the Governing League.
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Markets by month created
| Month | Markets | Contracts traded | Never traded | Settled | Resolved YES |
|---|---|---|---|---|---|
| Aug 2025 | 3,136 | 2,540,668 | 88.3% | 3,136 | 288 |
| Sep 2025 | 692 | 50,920,887 | 2.0% | 692 | 277 |
| Oct 2025 | 1,399 | 150,363,256 | 0.3% | 1,399 | 457 |
| Nov 2025 | 742 | 43,908,683 | 30.9% | 274 | 63 |
Trades by month
From the dataset’s trades files, matched to this series by market ticker. Contracts = sum of trade count.
| Month | Trades | Contracts |
|---|---|---|
| Aug 2025 | 742 | 434,295 |
| Sep 2025 | 118,157 | 34,090,847 |
| Oct 2025 | 294,564 | 112,694,120 |
| Nov 2025 | 297,791 | 119,047,669 |
Highest-volume events
| Event ticker | Markets | Contracts traded |
|---|---|---|
| KXNFLSPREAD-25OCT27WASKC | 15 | 6,897,515 |
| KXNFLSPREAD-25NOV20BUFHOU | 18 | 6,408,289 |
| KXNFLSPREAD-25NOV03ARIDAL | 17 | 6,159,223 |
| KXNFLSPREAD-25NOV17DALLV | 17 | 5,729,792 |
| KXNFLSPREAD-25NOV06LVDEN | 16 | 5,496,035 |
Why YES shares are often low or near half: ladders and brackets list many mutually exclusive outcomes per event and only one resolves YES, while game markets come in pairs with one winner. The share reflects how markets are structured, not a forecast or a trading rule.
More: all Sports markets · KXNFLGAME · KXNCAAFGAME · KXNBAGAME · KXMLBGAME · KXATPMATCH · KXMARMAD
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Odds to probability calculator · State of Kalshi · All Kalshi data pages · Kalshi bot guide
Method
- Series = the text before the first hyphen of
event_ticker(same rule as State of Kalshi). - Category = the label Kalshi's public API gives that series today (fetched Oct 17, 2026), applied to every market in the series, including older markets. Labels may differ from what Kalshi showed when a market was listed.
- Contracts = the sum of the
volumefield in the markets files. It counts contracts, not dollars. - Never traded = markets with
volumeof zero. Settled = markets whoseresultis yes or no. - Trades = rows in the trades files whose ticker belongs to this series, grouped by trade month.
- Counts only. No prices are used, and nothing here is a forecast, a trading rule or financial advice.
Source
Market data: Becker Kalshi dataset (Jon Becker, prediction-market-analysis), data dump downloaded Jul 30, 2026, covering markets created Jun 30, 2021 to Nov 23, 2025. Category labels: Kalshi public API (GET /trade-api/v2/series). Computed with DuckDB over all markets files. This is a historical snapshot, not live data. Dataset snapshot date: Oct 17, 2026.