# Kalshi First Goal (KXSERIEAFIRSTGOAL) Data

> Canonical HTML (full statistics, contract grids, FAQ): https://cryptostruct.com/prediction-markets/kalshi-kxserieafirstgoal · This document: https://cryptostruct.com/prediction-markets/kalshi-kxserieafirstgoal.md · Buy: https://cryptostruct.com/shop/bundles?bundle=kalshi-kxserieafirstgoal

Every Kalshi “First Goal (KXSERIEAFIRSTGOAL)” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 3 trading days as day bundles, €1 per day, bought as a guest with instant download.

## Facts

- Venue: Kalshi (`kalshi`) · Category: Sports · Interval: event · Venue ticker: `KXSERIEAFIRSTGOAL`
- Bundle id (MCP/HTTP `instrument_id` with `kind: "series_day"`): `9000002614` · Series key: `kalshi-kxserieafirstgoal`
- Price: **€1.00 per bundle day** (every contract file of the series on that UTC day; tax-inclusive)
- Coverage: 3 days from 2026-10-17 to 2026-10-19 · 1 MB compressed in total · typically 53 files per day (up to 63)

## How to buy

- Web: https://cryptostruct.com/shop/bundles?bundle=kalshi-kxserieafirstgoal — pre-filled days: `https://cryptostruct.com/shop/bundles?bundle=kalshi-kxserieafirstgoal&d=<from>..2026-10-19`
- MCP (https://cryptostruct.com/mcp): `get_bundle_coverage {series_key: "kalshi-kxserieafirstgoal"}` → `create_checkout` with `{instrument_id: 9000002614, date: "<YYYY-MM-DD>", kind: "series_day"}`
- HTTP: `POST https://cryptostruct.com/api/quote` with the same items → guest checkout (https://cryptostruct.com/docs/api.md)
- Delivery: one ZIP per day (`&kind=series_day&zip=1` on the order download route), one resumable tar for multi-day ranges — contract in https://cryptostruct.com/llms.txt

## Last 3 recorded days

| UTC day | Files | Size (zstd) | Trades | Turnover (USD) | Buy |
| --- | --- | --- | --- | --- | --- |
| 2026-10-19 | 34 | 0 MB | 32 | $288 | https://cryptostruct.com/shop/bundles?bundle=kalshi-kxserieafirstgoal&d=2026-10-19 |
| 2026-10-18 | 63 | 0 MB | 49 | $519 | https://cryptostruct.com/shop/bundles?bundle=kalshi-kxserieafirstgoal&d=2026-10-18 |
| 2026-10-17 | 62 | 0 MB | 24 | $244 | https://cryptostruct.com/shop/bundles?bundle=kalshi-kxserieafirstgoal&d=2026-10-17 |

Trades and turnover are our own counts from the recorded feed; "—" = not yet computed. ⚠ marks a partial day — contract windows or files that were never recorded; such days are sold as-is.

## Trading statistics (3 captured days to 2026-10-19)

- Trades: 105 · USD turnover: $1,051 (summed over every First Goal (KXSERIEAFIRSTGOAL) contract)
- Contracts traded / day: 9 · taker-buy share: 100 %
- Quoted spread (turnover-weighted, contract-price cents): 40.9 ¢ · top-1 depth per side: $111
- L2 updates / day: 13,029 · L2 updates / trade: 372.3

## The same market on other venues

| Venue · series | Trades (30d) | Turnover (30d) | Spread | Top-1 depth | L2 / trade | Days | Price / day | Page |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Kalshi · First Goal (KXSERIEAFIRSTGOAL) | 105 | $1,051 | 40.9 ¢ | $111 | 372.3 | 3 | €1.00 | https://cryptostruct.com/prediction-markets/kalshi-kxserieafirstgoal.md |
| predict.fun · Serie A Soccer | 10,430 | $368,667 | 1.24 ¢ | $17,183 | 1702.1 | 13 | €1.00 | https://cryptostruct.com/prediction-markets/predictfun-serie-a.md |

Each venue settles its own contracts on its own rules — comparable in subject, not interchangeable. "—" = no statistics row in the window.

## Market types

- Kalshi lists each market type as its own series — 10 SERIEA series, 6,596 contracts listed as of 2026-10-22: period markets 1,512 · total / over-under 1,087 · spread / handicap 898 · moneyline / winner 699 · other 2,400.

## Training data

- Every settled First Goal (KXSERIEAFIRSTGOAL) contract is a labelled example: the winner, the line or the total that cleared is the label, and the day bundle holds each contract's full order-book path and trade tape, nanosecond-stamped, from the first quote days before the event to the last print — the features for that label. The statistics on this page cover the most traded contracts per day; the bundle holds every contract listed on Kalshi that day.
- Split by season and match day, never at random — the contracts of one slate share injuries, weather and the same public money, and a random split leaks the slate's results into training; walk forward over game days and purge the days whose contracts were still open. Guide: https://cryptostruct.com/guides/sports-betting-models-prediction-market-data · Hub: https://cryptostruct.com/training-data
- Licence: Purchased data is for your own use — backtesting, research, analytics and training your own models, in-house or in your own products; the trained models and derived data you build from it are yours. The raw files and tick streams themselves may not be redistributed, resold or published. The full terms are on the data license page. (https://cryptostruct.com/license)

## Guides

- Sports Betting Models on Prediction-Market Order Books: https://cryptostruct.com/guides/sports-betting-models-prediction-market-data
- How to Download Kalshi Historical Data: https://cryptostruct.com/guides/how-to-download-kalshi-historical-data
- Inside a Series-Day Bundle: the Tick File Format: https://cryptostruct.com/guides/series-day-bundle-format

Terms: https://cryptostruct.com/terms.md · Data license: https://cryptostruct.com/license · Prediction-market hub: https://cryptostruct.com/prediction-markets