Kalshi First Goal (KXMLSFIRSTGOAL) Data
Every Kalshi “First Goal (KXMLSFIRSTGOAL)” 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.
First Goal (KXMLSFIRSTGOAL) on Kalshi — activity
Per-day trade and turnover statistics for First Goal (KXMLSFIRSTGOAL) are being captured — coverage began October 2026; the first figures appear within a day of a day closing.
One purchase, the whole series for a day
A series-day bundle contains every First Goal (KXMLSFIRSTGOAL) contract that was listed on Kalshi on that UTC day — traded or not — 20 contract files on the latest covered day. Each file carries the full raw feed: every trade print with price, size and side, plus Level-2 order-book updates, in the same zstd-compressed schema as our crypto venues. Event contracts quote 0..1; turnover is USD-normalized.
Coverage runs October 2026 – present — 3 trading days, 2.59 MB compressed in total. A day typically holds 141 contract files (up to 267 on the busiest day, 1.86 MB). Pick individual days in the shop calendar for €1 each; delivery is an instant per-file download or one archive for the whole day.
MLS markets on other prediction venues
Polymarket, predict.fun also list MLS event markets — the same 30-day statistics side by side, each a day bundle of its own.
| Venue · series | Trades (30d) | Turnover (30d) | Avg spread | Top-1 depth | L2 updates / trade | Days archived | Price / day |
|---|---|---|---|---|---|---|---|
| Kalshi · First Goal (KXMLSFIRSTGOAL) (this page) | — | — | — | — | — | 3 | €1 |
| Polymarket · MLS Soccer | 131,869 | $11.4M | 2.33 ¢ | $7.9K | 1807.2 | 415 | €1 |
| predict.fun · MLS Soccer | 3,151 | $186.1K | 3.13 ¢ | $5.2K | 8375.2 | 13 | €1 |
30-day window of the statistics table, per venue's own series; spread in contract-price cents and best-bid/ask depth are turnover-weighted, L2 updates per trade = recorded order-book level updates ÷ trades. "—" = no statistics row in the window. Each venue settles its own contracts on its own rules — the series are comparable in subject, not interchangeable.
First Goal (KXMLSFIRSTGOAL) — last 3 days in the archive
Files, size, contracts traded, trades, USD turnover, buy share, quoted spread, top-of-book depth and order-book updates per UTC day, from the recorded tick data.
| UTC day | Files | Size | Traded | Trades | Turnover | Buy share | Avg spread | Top-1 depth | L2 updates | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-21 | 20 | 168 KB | — | ≈ 43 | ≈ $553.53 | — | — | — | — | Buy day → | |
| 2026-10-18 | 267 | 1.86 MB | — | ≈ 578 | ≈ $7.4K | — | — | — | — | Buy day → | |
| 2026-10-17 | 135 | 571 KB | 11 | 292 | $3.7K | 100 % | 24.9 ¢ | $141.31 | 15.4K | Buy day → |
≈ marks an estimate: the average of the last 1 captured day of this series, scaled by that day's contract-file count. Statistics for a day are captured the next morning UTC and replace the estimate; days that predate the capture show —. Traded = contracts with at least one trade that day. Buy share = taker-buy side of USD turnover. Avg spread = quoted bid-ask spread in contract price cents (0..1 = 100 ¢), weighted by turnover across the day’s contracts. Top-1 depth = mean of the best bid and best ask notional in USD, weighted by turnover. L2 updates = order-book level updates recorded across all contracts of the day. Days captured before the extended statistics show —.
Most traded First Goal (KXMLSFIRSTGOAL) contracts by day
The ten contracts with the most USD turnover per UTC day — open, high, low, close, VWAP and the outcome implied by the last print; the six previous days fold out below.
The 10 most traded First Goal (KXMLSFIRSTGOAL) contracts on 2026-10-17 — 1 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 9 still open at the last print: 291 trades, $3.7K USD turnover. The busiest contract was KXMLSFIRSTGOAL-26OCT17ATLMIA-MIALMESSI10 with $2.1K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KXMLSFIRSTGOAL-26OCT17ATLMIA-MIALMESSI10 ATLMIA · 2026-10-17 · prop · MIALMESSI10 | 2026-10-18 00:31 | 0.340 | 0.970 | 0.270 | 0.410 | 0.372 | open | 152 | $2.1K | 100 % | 26.7 ¢ | $148.7 | 2.8K | buy file → |
| KXMLSFIRSTGOAL-26OCT17ATLMIA-MIALSUARE9 ATLMIA · 2026-10-17 · prop · MIALSUARE9 | 2026-10-18 00:31 | 0.250 | 0.270 | 0.200 | 0.260 | 0.245 | open | 76 | $1.0K | 100 % | 20.5 ¢ | $128.37 | 563 | buy file → |
| KXMLSFIRSTGOAL-26OCT17ORLDCU-ORLAGRIEZ7 ORLDCU · 2026-10-17 · prop · ORLAGRIEZ7 | 2026-10-18 00:01 | 0.290 | 0.990 | 0.290 | 0.990 | 0.977 | Yes | 7 | $178.12 | 100 % | 36.6 ¢ | $192.21 | 330 | buy file → |
| KXMLSFIRSTGOAL-26OCT17ATLMIA-ATLBEMBOL36 ATLMIA · 2026-10-17 · prop · ATLBEMBOL36 | 2026-10-18 00:31 | 0.270 | 0.270 | 0.020 | 0.190 | 0.186 | open | 11 | $172.91 | 99 % | 16.9 ¢ | $89.11 | 201 | buy file → |
| KXMLSFIRSTGOAL-26OCT17ATLMIA-MIAGBERTE19 ATLMIA · 2026-10-17 · prop · MIAGBERTE19 | 2026-10-18 00:31 | 0.140 | 0.170 | 0.140 | 0.170 | 0.160 | open | 8 | $107.14 | 100 % | — | — | 225 | buy file → |
| KXMLSFIRSTGOAL-26OCT17ATLMIA-MIACASE18 ATLMIA · 2026-10-17 · prop · MIACASE18 | 2026-10-18 00:31 | 0.070 | 0.940 | 0.070 | 0.090 | 0.095 | open | 15 | $63.27 | 100 % | — | — | 411 | buy file → |
| KXMLSFIRSTGOAL-26OCT17ATLMIA-ATLMALMIR10 ATLMIA · 2026-10-17 · prop · ATLMALMIR10 | 2026-10-18 00:31 | 0.150 | 0.150 | 0.130 | 0.150 | 0.145 | open | 6 | $50.57 | 100 % | — | — | 399 | buy file → |
| KXMLSFIRSTGOAL-26OCT17ATLMIA-MIARDEPA7 ATLMIA · 2026-10-17 · prop · MIARDEPA7 | 2026-10-18 00:31 | 0.080 | 0.080 | 0.060 | 0.080 | 0.080 | open | 8 | $33.2 | 100 % | — | — | 172 | buy file → |
| KXMLSFIRSTGOAL-26OCT17MINSTL-STLRNAVAR9 MINSTL · 2026-10-17 · prop · STLRNAVAR9 | 2026-10-17 20:45 | 0.220 | 0.890 | 0.220 | 0.890 | 0.311 | open | 5 | $24.16 | 100 % | 28.1 ¢ | $51.86 | 138 | buy file → |
| KXMLSFIRSTGOAL-26OCT17NECHI-CHIJBAMBA19 NECHI · 2026-10-17 · prop · CHIJBAMBA19 | 2026-10-18 00:10 | 0.110 | 0.130 | 0.110 | 0.130 | 0.123 | open | 3 | $14.12 | 100 % | — | — | 181 | buy file → |
Prices quote 0..1 (probability of Yes). Open/high/low/close/VWAP are that UTC day’s trade prints per contract; the implied outcome reads the last print — ≥ 0.97 as Yes, ≤ 0.03 as No, anything between as still open — venues publish the official result. Buy share = taker-buy side of turnover; spread = the contract's turnover-weighted quoted bid-ask spread in cents, top-1 depth = mean best-bid/ask notional per side, L2 updates = order-book level updates recorded for the contract that day. “Settles” is the venue-listed close time of the contract where the venue publishes one (UTC).
MLS on Kalshi — market types across the series
Across 14 MLS series on Kalshi, 19,697 contracts have been listed as of 2026-10-22: total / over-under 5,209 · period markets 2,793 · spread / handicap 1,971 · moneyline / winner 1,452 and others. Counted from every contract file of the family, not from the traded top-10.
| Market type | Contracts listed (all time) | Listed last 30 days | Share |
|---|---|---|---|
| total / over-under | 5,209 | 1,239 | 26 % |
| period markets | 2,793 | 1,170 | 14 % |
| spread / handicap | 1,971 | 317 | 10 % |
| moneyline / winner | 1,452 | 195 | 7 % |
| both teams to score | 454 | 65 | 2 % |
| player & team props | 15 | — | 0 % |
| other | 7,803 | 2,097 | 40 % |
| Total | 19,697 | 5,083 | 100 % |
Kalshi MLS 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 2026-10-22; “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.
How a First Goal (KXMLSFIRSTGOAL) contract trades
On Kalshi, a First Goal (KXMLSFIRSTGOAL) contract trades for about 80 min from open to close, is listed roughly 2 min before it opens, and quotes in 1 ¢ price steps (0..1). Measured on the 10 contracts captured on 2026-10-17.
Build a First Goal (KXMLSFIRSTGOAL) model on this data
Every settled First Goal (KXMLSFIRSTGOAL) 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. The sports-model guide works the closing-line benchmark, the pre-game line path and that split through.
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.
Why buy Kalshi First Goal (KXMLSFIRSTGOAL) 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
Kalshi First Goal (KXMLSFIRSTGOAL) data — FAQ
What Kalshi First Goal (KXMLSFIRSTGOAL) data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of the First Goal (KXMLSFIRSTGOAL) series on Kalshi (20 contract files on the latest day). One bundle = one UTC day of the whole series.
What is the Kalshi series ticker for First Goal (KXMLSFIRSTGOAL)?
KXMLSFIRSTGOAL — every contract of the series carries this prefix in its ticker (followed by the event date and strike). Files in a day bundle are named by the full contract ticker, so a bundle holds every KXMLSFIRSTGOAL-* contract listed that UTC day.
How far back does the First Goal (KXMLSFIRSTGOAL) data go?
Coverage runs October 2026 – present — 3 trading days in total.
What format are the Kalshi files in?
One zstd-compressed text file per contract per UTC day, in the same normalized schema as our crypto venues — see the market-data specification; free samples on the downloads page.
Can I get Kalshi First Goal (KXMLSFIRSTGOAL) 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 records 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 Kalshi First Goal (KXMLSFIRSTGOAL) historical data cost?
€1 per series-day bundle — every contract of the series for that day — no subscription, no minimum order; buy as a guest in the Data Shop and download immediately. Credit packs lower the effective price and never expire.
Do I need an account or a sales call?
No. Pick the First Goal (KXMLSFIRSTGOAL) 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 Kalshi First Goal (KXMLSFIRSTGOAL) 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.
What was the most traded First Goal (KXMLSFIRSTGOAL) contract on 2026-10-17?
KXMLSFIRSTGOAL-26OCT17ATLMIA-MIALMESSI10 (ATLMIA · 2026-10-17 · prop · MIALMESSI10) — $2.1K USD turnover over 152 trades on Kalshi. The 10 most traded contracts of the series did 291 trades and $3.7K that UTC day. Open, high, low, close and VWAP per contract are listed on this page; the tick-level data is in the day bundle.
Which market types does Kalshi list for MLS?
Kalshi lists each market type as its own series — 14 MLS series with 19,697 contracts listed as of 2026-10-22: total / over-under 5,209 · period markets 2,793 · spread / handicap 1,971 · moneyline / winner 1,452 · both teams to score 454. First Goal (KXMLSFIRSTGOAL) is one of them; a series-day bundle covers one series, so buy the same day across the sibling series you need in the shop.