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Kalshi · Sports · event · KXMLSFTTS

Kalshi KXMLSFTTS — First Team to Score Data

Every Kalshi “First Team to Score” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 76 trading days as day bundles, €1 per day, bought as a guest with instant download.

Trading days
76
Coverage
July 2026 – present
Archive size
157 MB
Price per day
€1
Activity & identifier

First Team to Score on Kalshi — activity

Trades and USD turnover summed over every contract of the series across 11 captured days to 2026-10-15, from the recorded tick data — the per-day averages divide by the captured days. Buy share, quoted spread (in contract price cents, 0..1 = 100 ¢), best-bid/ask depth and Level-2 update counts are turnover-weighted over the same window.

Series ticker
KXMLSFTTS
Avg trades / day
227
Avg turnover / day
$2.4K
Captured days
11
Trades (30d)
2,500
Turnover (30d)
$26.6K
Contracts traded / day
13
Buy share
88 %
Avg spread
17.2 ¢
Top-1 depth
$850.2
L2 updates / day
82.5K
L2 updates / trade
363.1
Turnover on settlement day
96 %
Days traded before settling (median)
1
Market types (MLS on Kalshi)
total / over-under 5,943 · period markets 3,567 · player & team props 3,439
30d vs prior 30d
−4.9 %
Since 2026-08-13
17.7K trades · $168.7K
Record day
$21.5K · 2026-08-20
Files on latest day
45
What's in a bundle

One purchase, the whole series for a day

A series-day bundle contains every First Team to Score contract that was listed on Kalshi on that UTC day — traded or not — 45 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 July 2026 – present — 76 trading days, 157 MB compressed in total. A day typically holds 37 contract files (up to 90 on the busiest day, 11.0 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.

Month by month

First Team to Score — development since capture

17,740 trades and $168.7K of USD turnover over 55 captured days since 2026-08-13 — record day 2026-08-20 with $21.5K, biggest single contract KXMLSFTTS-26SEP09NYCNE-NYC (NYC vs NE · 2026-09-09 · NYC) (2026-09-10, $8.2K).

MonthDaysTradesTurnover (USD)Avg / dayContracts tradedL2 updatesvs previous month
Oct 2026132,701$30.2K$2.3K150922.7K−53.5 %
Sep 2026277,931$65.1K$2.4K4192.3M−11.4 %
Aug 2026157,108$73.4K$4.9K3621.3M—

Kalshi First Team to Score — 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.

Opening price vs outcome

First Team to Score — did the favourite win?

The side the opening price favoured finished in the money 69 % of the time across 183 settled First Team to Score contracts that opened away from 50 ¢ among the day's most traded contracts, 2026-08-13 – 2026-10-15. Contracts opening at 0–10 ¢ — 83 of them — closed Yes 13 % of the time.

Opening priceContractsClosed YesClosed NoYes shareOpen at last print
0–10 ¢8342813 %51
10–20 ¢243260 %19
30–40 ¢2817194 %10
40–50 ¢49241365 %12
50–60 ¢5437686 %11
60–70 ¢3020291 %8
70–80 ¢24220100 %2
other opening prices118189 %2
Total3031355372 %115

Opening price = the contract's first recorded print on the first day it ranked among the day's ten most traded contracts of the series (not its listing price), grouped in 10 ¢ steps (contracts quote 0..1 = 100 ¢). Outcome implied by its last recorded print across the window (≥ 0.97 = Yes, ≤ 0.03 = No; the rest still open at the last print) — venues publish the official result, we record the market. The sample is the daily top-10 by turnover, so it leans towards the closest, most traded contests. Deciles with fewer than 20 contracts are folded into one row.

Other venues

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 · seriesTrades (30d)Turnover (30d)Avg spreadTop-1 depthL2 updates / tradeDays archivedPrice / day
Kalshi · First Team to Score (this page)2,500$26.6K17.2 ¢$850.2363.176€1
Polymarket · MLS Soccer177,244$17.9M1.85 ¢$7.4K1760.7427€1
predict.fun · MLS Soccer28,722$1.3M2.51 ¢$2.8K2040.325€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.

When it trades

First Team to Score — activity by weekday and hour

Sundays carry the most turnover, about $7.7K per day. Contracts listed to settle 01:00–01:59 UTC take 21 % of the turnover of the most traded contracts.

Weekday (UTC)Avg turnover / dayUSDAvg tradesDays
Monday$0.490.52
Tuesday$79.3792
Wednesday$1.8K249.52
Thursday$5.0K4562
Friday$5.17301
Saturday$5.1K4701
Sunday$7.7K5701

Kalshi First Team to Score — 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 —.

By UTC hour the contract is listed to settle (newest 30 captured days, most traded contracts per day)
Settles (UTC)TurnoverUSDShareTradesContracts
00:00–00:59$10.2K19.4 %67327
01:00–01:59$10.8K20.6 %91136
02:00–02:59$8.5K16.1 %72222
03:00–03:59$9.0K17.1 %55521
04:00–04:59$2.5K4.7 %914
05:00–05:59$1.1K2.1 %803
18:00–18:59$621.861.2 %543
19:00–19:59$587.811.1 %333
23:00–23:59$9.4K17.8 %68411

Kalshi First Team to Score — USD turnover and trades of the most traded contracts per day, grouped by the UTC hour in which the contract is listed to settle (the venue's close time), over the newest 30 captured days; from our tick archive.

Daily statistics

First Team to Score — last 30 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 dayFilesSizeTradedTradesTurnoverBuy shareAvg spreadTop-1 depthL2 updatesNotes
2026-10-15455.27 MB35908$10.0K83 %15.9 ¢$1.3K207.3KBuy day →
2026-10-14454.88 MB25399$3.0K95 %3.01 ¢$332.72167.9KBuy day →
2026-10-13453.00 MB1112$1.850 %61.7 ¢$10.68107.8KBuy day →
2026-10-121824.8 KB00$0———291Buy day →
2026-10-11391.31 MB26570$7.7K87 %32.0 ¢$953.6247.2KBuy day →
2026-10-10454.56 MB33470$5.1K91 %3.41 ¢$289.31163.4KBuy day →
2026-10-09455.01 MB530$5.1735 %6.56 ¢$18.33197.1KBuy day →
2026-10-082786.3 KB24$0.4436 %25.3 ¢$19.662.1KBuy day →
2026-10-073134 KB3100$721.4999 %35.3 ¢$242.775.0KBuy day →
2026-10-063195 KB36$156.8899 %1.59 ¢$231.726.2KBuy day →
2026-10-053107 KB11$0.97100 %4.19 ¢$80.863.5KBuy day →
2026-10-023232 KB3158$1.8K89 %40.3 ¢$2.1K8.4KBuy day →
2026-10-016219 KB343$1.8K56 %1.67 ¢$180.516.6KBuy day →
2026-09-306471 KB3230$2.3K48 %3.31 ¢$240.8114.9KBuy day →
2026-09-29377.6 KB00$0———2.6KBuy day →
2026-09-2866.56 KB00$0———30Buy day →
2026-09-27421.04 MB361,211$10.6K90 %18.6 ¢$431.8630.6KBuy day →
2026-09-26452.28 MB24290$1.9K93 %2.24 ¢$196.7167.0KBuy day →
2026-09-25451.05 MB00$0———31.0KBuy day →
2026-09-24181.19 MB3244$1.6K80 %11.2 ¢$1.1K46.2KBuy day →
2026-09-233341 KB346$65.2888 %1.20 ¢$109.2210.6KBuy day →
2026-09-223178 KB11$9.72100 %10.0 ¢$24.965.3KBuy day →
2026-09-2042725 KB40635$8.2K86 %33.7 ¢$853.4320.1KBuy day →
2026-09-19455.33 MB44716$3.9K93 %7.88 ¢$150.81181.4KBuy day →
2026-09-18452.85 MB960$31898 %4.65 ¢$209.381.2KBuy day →
2026-09-1715173 KB110$2.5650 %18.4 ¢$5.673.9KBuy day →
2026-09-1633.11 KB00$0———15Buy day →
2026-09-1432.08 MB398$1.1K89 %20.7 ¢$1.3K84.2KBuy day →
2026-09-13451.80 MB40754$5.5K84 %38.2 ¢$910.2260.6KBuy day →
2026-09-12455.46 MB36281$1.3K83 %3.52 ¢$230.33118.1KBuy day →

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 —.

Contracts

Most traded First Team to Score 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 Team to Score contracts on 2026-10-15 — 10 closed Yes (≥ 0.97), 0 closed No (≤ 0.03): 439 trades, $8.3K USD turnover. The busiest contract was KXMLSFTTS-26OCT14LAFCATX-LAFC with $1.9K turnover.

ContractSettles (UTC)OpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXMLSFTTS-26OCT14LAFCATX-LAFC LAFC vs ATX · 2026-10-14 · LAFC2026-10-15 04:060.6600.9900.3100.9900.890Yes57$1.9K60 %15.3 ¢$977.025.0Kbuy file →
KXMLSFTTS-26OCT14COLMIN-COL COL vs MIN · 2026-10-14 · COL2026-10-15 02:450.6200.9900.5800.9900.860Yes42$1.1K97 %17.9 ¢$2.2K13.4Kbuy file →
KXMLSFTTS-26OCT14LAGPOR-LAG LAG vs POR · 2026-10-14 · LAG2026-10-15 03:110.5500.9900.0700.9900.938Yes63$973.3162 %8.40 ¢$652.552.2Kbuy file →
KXMLSFTTS-26OCT14MIANYC-MIA MIA vs NYC · 2026-10-14 · MIA2026-10-15 00:210.9500.9900.9600.9900.983Yes28$749.3476 %1.85 ¢$2.1K1.2Kbuy file →
KXMLSFTTS-26OCT14DALSEA-DAL DAL vs SEA · 2026-10-14 · DAL2026-10-15 02:250.8300.9900.1000.9900.810Yes60$742.5387 %21.1 ¢$573.234.8Kbuy file →
KXMLSFTTS-26OCT14STLVAN-NONE STLVAN · 2026-10-14 · NONE2026-10-15 03:060.5800.9900.0900.9900.890Yes55$625.9199 %34.6 ¢$883.4418.7Kbuy file →
KXMLSFTTS-26OCT14SDHOU-SD SD vs HOU · 2026-10-14 · SD2026-10-15 03:110.8400.9900.8400.9900.983Yes37$608.22100 %6.70 ¢$2.5K1.5Kbuy file →
KXMLSFTTS-26OCT14MTLATL-ATL MTL vs ATL · 2026-10-14 · ATL2026-10-15 00:210.7200.9900.7200.9900.956Yes36$538.17100 %8.83 ¢$321.84143buy file →
KXMLSFTTS-26OCT14TORORL-TOR TOR vs ORL · 2026-10-14 · TOR2026-10-15 00:210.1600.9900.1600.9900.965Yes28$523.14100 %23.1 ¢$2.2K420buy file →
KXMLSFTTS-26OCT14CHIPHI-CHI CHI vs PHI · 2026-10-14 · CHI2026-10-15 01:450.4900.9900.4900.9900.973Yes33$509.9189 %20.0 ¢$517.78454buy 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).

2026-10-14 — 10 contracts, 310 trades, $2.8K turnover

The 10 most traded First Team to Score contracts on 2026-10-14 — 3 closed Yes (≥ 0.97), 3 closed No (≤ 0.03), 4 still open at the last print: 310 trades, $2.8K USD turnover. The busiest contract was KXMLSFTTS-26OCT14MIANYC-MIA with $1.0K turnover.

ContractSettles (UTC)OpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXMLSFTTS-26OCT14MIANYC-MIA MIA vs NYC · 2026-10-14 · MIA2026-10-15 00:210.6500.9500.0600.9500.695open95$1.0K95 %2.32 ¢$417.288.3Kbuy file →
KXMLSFTTS-26OCT14CINNE-CIN CIN vs NE · 2026-10-14 · CIN2026-10-15 00:150.5700.9900.5700.9900.943Yes38$521.02100 %2.57 ¢$261.26.7Kbuy file →
KXMLSFTTS-26OCT14CLBCLT-CLT CLB vs CLT · 2026-10-14 · CLT2026-10-15 00:150.7300.9900.7300.9900.950Yes27$520.3596 %2.73 ¢$382.213.5Kbuy file →
KXMLSFTTS-26OCT14DCUNYRB-DCU DCU vs NYRB · 2026-10-14 · DCU2026-10-15 00:060.6800.9900.6800.9900.971Yes36$514.5996 %2.27 ¢$227.64.8Kbuy file →
KXMLSFTTS-26OCT14TORORL-TOR TOR vs ORL · 2026-10-14 · TOR2026-10-15 00:210.7900.9000.1300.1600.485open25$69.6487 %2.84 ¢$352.145.8Kbuy file →
KXMLSFTTS-26OCT14DCUNYRB-NYRB DCU vs NYRB · 2026-10-14 · NYRB2026-10-15 00:060.4700.4800.0100.0100.383No27$59.1797 %2.21 ¢$350.65.6Kbuy file →
KXMLSFTTS-26OCT14CINNE-NE CIN vs NE · 2026-10-14 · NE2026-10-15 00:150.4000.7200.0100.0100.352No26$47.0695 %2.21 ¢$367.127.5Kbuy file →
KXMLSFTTS-26OCT14RSLSJ-SJ RSL vs SJ · 2026-10-14 · SJ2026-10-15 03:550.4000.4100.4000.4100.404open3$32.64100 %2.05 ¢$358.952.5Kbuy file →
KXMLSFTTS-26OCT14MIANYC-NONE MIANYC · 2026-10-14 · NONE2026-10-15 00:210.0300.0400.0200.0300.027No11$31.7674 %31.7 ¢$27.843.3Kbuy file →
KXMLSFTTS-26OCT14MIANYC-NYC MIA vs NYC · 2026-10-14 · NYC2026-10-15 00:210.3200.7300.0700.0700.349open22$26.5693 %2.81 ¢$308.653.9Kbuy file →
2026-10-13 — 10 contracts, 11 trades, $1.7 turnover

The 10 most traded First Team to Score contracts on 2026-10-13 — 0 closed Yes (≥ 0.97), 6 closed No (≤ 0.03), 4 still open at the last print: 11 trades, $1.7 USD turnover. The busiest contract was KXMLSFTTS-26OCT14MTLATL-NONE with $0.2 turnover.

ContractSettles (UTC)OpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXMLSFTTS-26OCT14MTLATL-NONE MTLATL · 2026-10-14 · NONE2026-10-15 00:210.0400.0400.0400.0400.040open1$0.20 %63.3 ¢$8.176.6Kbuy file →
KXMLSFTTS-26OCT14DALSEA-NONE DALSEA · 2026-10-14 · NONE2026-10-15 02:250.0400.0400.0400.0400.040open1$0.20 %55.6 ¢$22.898.0Kbuy file →
KXMLSFTTS-26OCT14COLMIN-NONE COLMIN · 2026-10-14 · NONE2026-10-15 02:450.0400.0400.0400.0400.040open1$0.20 %75.5 ¢$9.48.2Kbuy file →
KXMLSFTTS-26OCT14SDHOU-NONE SDHOU · 2026-10-14 · NONE2026-10-15 03:110.0400.0400.0400.0400.040open1$0.20 %61.7 ¢$4.54.2Kbuy file →
KXMLSFTTS-26OCT14CLBCLT-NONE CLBCLT · 2026-10-14 · NONE2026-10-15 00:150.0300.0300.0300.0300.030No2$0.150 %57.7 ¢$13.034.5Kbuy file →
KXMLSFTTS-26OCT14CINNE-NONE CINNE · 2026-10-14 · NONE2026-10-15 00:150.0300.0300.0300.0300.030No1$0.150 %73.4 ¢$13.563.7Kbuy file →
KXMLSFTTS-26OCT14TORORL-NONE TORORL · 2026-10-14 · NONE2026-10-15 00:210.0300.0300.0300.0300.030No1$0.150 %59.1 ¢$3.949.1Kbuy file →
KXMLSFTTS-26OCT14CHIPHI-NONE CHIPHI · 2026-10-14 · NONE2026-10-15 01:450.0300.0300.0300.0300.030No1$0.150 %63.4 ¢$10.151.2Kbuy file →
KXMLSFTTS-26OCT14RSLSJ-NONE RSLSJ · 2026-10-14 · NONE2026-10-15 03:550.0300.0300.0300.0300.030No1$0.150 %59.5 ¢$10.183.6Kbuy file →
KXMLSFTTS-26OCT14LAFCATX-NONE LAFCATX · 2026-10-14 · NONE2026-10-15 04:060.0300.0300.0300.0300.030No1$0.150 %48.7 ¢$7.931.1Kbuy file →
2026-10-11 — 10 contracts, 381 trades, $7.2K turnover

The 10 most traded First Team to Score contracts on 2026-10-11 — 9 closed Yes (≥ 0.97), 1 closed No (≤ 0.03): 381 trades, $7.2K USD turnover. The busiest contract was KXMLSFTTS-26OCT10LAFCVAN-VAN with $1.8K turnover.

ContractSettles (UTC)OpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXMLSFTTS-26OCT10LAFCVAN-VAN LAFC vs VAN · 2026-10-10 · VAN2026-10-11 03:450.4700.9900.1600.9900.855Yes50$1.8K63 %19.9 ¢$749.565.7Kbuy file →
KXMLSFTTS-26OCT10COLSJ-COL COL vs SJ · 2026-10-10 · COL2026-10-11 02:250.1600.9900.0800.9900.927Yes39$916.97100 %27.1 ¢$1.2K1.1Kbuy file →
KXMLSFTTS-26OCT11STLLAG-STL STL vs LAG · 2026-10-11 · STL2026-10-11 23:360.6800.9900.6700.9900.934Yes42$697.4498 %3.86 ¢$468.731.2Kbuy file →
KXMLSFTTS-26OCT10SKCPOR-POR SKC vs POR · 2026-10-10 · POR2026-10-11 01:160.5200.9900.5200.9900.907Yes39$670.63100 %24.4 ¢$1.4K846buy file →
KXMLSFTTS-26OCT10CLTDAL-DAL CLT vs DAL · 2026-10-10 · DAL2026-10-11 00:250.4300.9900.4300.9900.948Yes32$612.7290 %72.5 ¢$360.59119buy file →
KXMLSFTTS-26OCT10LAFCVAN-LAFC LAFC vs VAN · 2026-10-10 · LAFC2026-10-11 03:450.4800.9000.0100.0100.474No61$579.4993 %20.5 ¢$1.1K5.1Kbuy file →
KXMLSFTTS-26OCT10MINHOU-HOU MIN vs HOU · 2026-10-10 · HOU2026-10-11 01:160.4100.9900.1700.9900.943Yes38$559.7987 %49.2 ¢$740.692.4Kbuy file →
KXMLSFTTS-26OCT10PHIRSL-PHI PHI vs RSL · 2026-10-10 · PHI2026-10-11 00:310.2000.9900.2000.9900.936Yes24$502.6398 %27.1 ¢$319.31218buy file →
KXMLSFTTS-26OCT10ATXNSH-NSH ATX vs NSH · 2026-10-10 · NSH2026-10-11 01:360.8400.9900.8400.9900.975Yes29$468.6596 %44.9 ¢$1.9K1.7Kbuy file →
KXMLSFTTS-26OCT10ATLCIN-CIN ATL vs CIN · 2026-10-10 · CIN2026-10-11 01:050.7400.9900.7400.9900.977Yes27$464.2997 %79.2 ¢$2.5K97buy file →
2026-10-10 — 10 contracts, 330 trades, $4.9K turnover

The 10 most traded First Team to Score contracts on 2026-10-10 — 6 closed Yes (≥ 0.97), 1 closed No (≤ 0.03), 3 still open at the last print: 330 trades, $4.9K USD turnover. The busiest contract was KXMLSFTTS-26OCT10MIADCU-MIA with $1.0K turnover.

ContractSettles (UTC)OpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXMLSFTTS-26OCT10MIADCU-MIA MIA vs DCU · 2026-10-10 · MIA2026-10-11 00:060.6900.9900.6900.9900.858Yes43$1.0K86 %2.24 ¢$487.841.8Kbuy file →
KXMLSFTTS-26OCT10TORMTL-MTL TOR vs MTL · 2026-10-10 · MTL2026-10-10 18:450.3500.9900.0100.9900.951Yes43$620.1896 %6.49 ¢$326.731.4Kbuy file →
KXMLSFTTS-26OCT10ORLCLB-ORL ORL vs CLB · 2026-10-10 · ORL2026-10-11 00:060.8400.9900.8400.9900.983Yes28$604.7784 %2.52 ¢$398.622.1Kbuy file →
KXMLSFTTS-26OCT10NESEA-SEA NE vs SEA · 2026-10-10 · SEA2026-10-11 00:150.4300.9900.4300.9900.947Yes30$593.2886 %2.54 ¢$354.152.5Kbuy file →
KXMLSFTTS-26OCT10CHINYC-NYC CHI vs NYC · 2026-10-10 · NYC2026-10-10 19:160.3800.9900.3800.9900.909Yes24$586.1785 %6.15 ¢$256.134.1Kbuy file →
KXMLSFTTS-26OCT10NYRBSD-NYRB NYRB vs SD · 2026-10-10 · NYRB2026-10-11 00:450.5000.9900.5000.9900.950Yes32$529.56100 %3.14 ¢$167.212.0Kbuy file →
KXMLSFTTS-26OCT10SKCPOR-NONE SKCPOR · 2026-10-10 · NONE2026-10-11 01:160.0300.0300.0200.0200.020No45$393100 %2.25 ¢$23.552.3Kbuy file →
KXMLSFTTS-26OCT10ATXNSH-NONE ATXNSH · 2026-10-10 · NONE2026-10-11 01:360.0500.0500.0500.0500.050open43$309.65100 %1.33 ¢$34.812.8Kbuy file →
KXMLSFTTS-26OCT10COLSJ-NONE COLSJ · 2026-10-10 · NONE2026-10-11 02:250.0400.0400.0400.0400.040open36$151.72100 %1.26 ¢$37.553.8Kbuy file →
KXMLSFTTS-26OCT10LAFCVAN-NONE LAFCVAN · 2026-10-10 · NONE2026-10-11 03:450.0500.0500.0400.0400.040open6$64.72100 %1.44 ¢$51.037.6Kbuy file →
2026-10-09 — 5 contracts, 30 trades, $5.17 turnover

The 5 most traded First Team to Score contracts on 2026-10-09 — 0 closed Yes (≥ 0.97), 2 closed No (≤ 0.03), 3 still open at the last print: 30 trades, $5.17 USD turnover. The busiest contract was KXMLSFTTS-26OCT10COLSJ-NONE with $1.54 turnover.

ContractSettles (UTC)OpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXMLSFTTS-26OCT10COLSJ-NONE COLSJ · 2026-10-10 · NONE2026-10-11 02:250.0400.0500.0400.0400.041open5$1.54100 %11.0 ¢$15.341.8Kbuy file →
KXMLSFTTS-26OCT10TORMTL-NONE TORMTL · 2026-10-10 · NONE2026-10-10 18:450.0400.0400.0300.0300.031No10$1.485 %1.70 ¢$13.72.2Kbuy file →
KXMLSFTTS-26OCT10CHINYC-NONE CHINYC · 2026-10-10 · NONE2026-10-10 19:160.0400.0400.0300.0300.030No6$1.40 %3.25 ¢$24.912.1Kbuy file →
KXMLSFTTS-26OCT10CLTDAL-NONE CLTDAL · 2026-10-10 · NONE2026-10-11 00:250.0400.0400.0300.0400.037open6$0.5527 %14.3 ¢$26.372.9Kbuy file →
KXMLSFTTS-26OCT10LAFCVAN-NONE LAFCVAN · 2026-10-10 · NONE2026-10-11 03:450.0500.0500.0500.0500.050open3$0.225 %10.3 ¢$7.4612.5Kbuy file →
2026-10-08 — 2 contracts, 4 trades, $0.44 turnover

The 2 most traded First Team to Score contracts on 2026-10-08 — 0 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 2 still open at the last print: 4 trades, $0.44 USD turnover. The busiest contract was KXMLSFTTS-26OCT10CHINYC-NONE with $0.24 turnover.

ContractSettles (UTC)OpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXMLSFTTS-26OCT10CHINYC-NONE CHINYC · 2026-10-10 · NONE2026-10-10 19:160.0400.0400.0400.0400.040open3$0.2467 %22.4 ¢$12.31148buy file →
KXMLSFTTS-26OCT10TORMTL-NONE TORMTL · 2026-10-10 · NONE2026-10-10 18:450.0400.0400.0400.0400.040open1$0.20 %28.7 ¢$28.481.0Kbuy file →
Market types

MLS on Kalshi — market types across the series

Across 17 MLS series on Kalshi, 26,711 contracts have been listed as of 2026-11-02: total / over-under 5,943 · period markets 3,567 · player & team props 3,439 · spread / handicap 2,688 and others. Counted from every contract file of the family, not from the traded top-10.

Market typeContracts listed (all time)Listed last 30 daysShare
total / over-under5,9431,71422 %
period markets3,5671,62013 %
player & team props3,4393,42413 %
spread / handicap2,68862110 %
moneyline / winner1,4972706 %
both teams to score484902 %
other9,0932,79334 %
Total26,71110,532100 %

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 2026-11-02; “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.

Contract anatomy

How a First Team to Score contract trades

Trading window
2.0 days
Listed ahead
10 min
Tick size
0.01
Contracts measured
10
Quoted in
USD

On Kalshi, a First Team to Score contract trades for about 2.0 days from open to close, is listed roughly 10 min before it opens, and quotes in 1 ¢ price steps (0..1). Measured on the 10 contracts captured on 2026-10-15.

Build a bot

Build a First Team to Score model on this data

Every settled First Team to Score 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.

Contract-days traded since 2026-08-13
931
Turnover on game day, 188 contracts to 2026-10-15
96 %
Median days traded before settlement
1
Favourite hit rate (implied), 183 contracts
69 %
Market types, 2026-11-02
other 9,093 · total / over-under 5,943 · period markets 3,567 · player & team props 3,439

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 CryptoStruct

Why buy Kalshi First Team to Score 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

FAQ

Kalshi First Team to Score data — FAQ

What Kalshi First Team to Score data can I download?

Tick-by-tick trades and Level-2 order-book depth for every contract of the First Team to Score series on Kalshi (45 contract files on the latest day). One bundle = one UTC day of the whole series.

What is the Kalshi series ticker for First Team to Score?

KXMLSFTTS — 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 KXMLSFTTS-* contract listed that UTC day.

How far back does the First Team to Score data go?

Coverage runs July 2026 – present — 76 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 Team to Score 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 Team to Score 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 Team to Score 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 Team to Score 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.

How many First Team to Score contracts trade per day on Kalshi?

On average 13 First Team to Score contracts had at least one trade per UTC day over the last 11 captured days on Kalshi, with about 82.5K order-book level updates recorded per day. A day bundle contains every contract file of the series for that day.

How liquid are Kalshi First Team to Score contracts?

Over the last 11 captured days, the turnover-weighted quoted bid-ask spread was 17.2 ¢ (contracts quote 0..1 = 100 ¢), the mean best-bid/best-ask notional was about $850.2 per side, 88 % of USD turnover was taker-buy. These figures are computed from the recorded Level-2 order books and trade prints — the same data in the day bundles.

What was the most traded First Team to Score contract on 2026-10-15?

KXMLSFTTS-26OCT14LAFCATX-LAFC (LAFC vs ATX · 2026-10-14 · LAFC) — $1.9K USD turnover over 57 trades on Kalshi. The 10 most traded contracts of the series did 439 trades and $8.3K 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.

Did the favourite win in First Team to Score contracts?

Of 183 settled First Team to Score contracts that opened away from 50 ¢ among the day's most traded contracts between 2026-08-13 and 2026-10-15 on Kalshi, the side the opening price favoured finished in the money 69 % of the time; the largest group, 83 contracts opening at 0–10 ¢, closed Yes 13 % of the time. Outcomes are implied from each contract's last recorded print (≥ 0.97 / ≤ 0.03), not the venue's official settlement, and the opening price is the first print on the first day the contract ranked among the ten most traded of the series; the opening-price table on this page lists every 10 ¢ step, and the tick data behind it is in the day bundles.

What was the busiest First Team to Score trading day on Kalshi?

2026-08-20, with $21.5K of USD turnover over 1,187 trades across every First Team to Score contract of the day; the busiest full month was Aug 2026 at $73.4K. Since our statistics began on 2026-08-13 the series has recorded 17,740 trades and $168.7K over 55 captured days; the single biggest contract was KXMLSFTTS-26SEP09NYCNE-NYC (NYC vs NE · 2026-09-09 · NYC) on 2026-09-10 with $8.2K. Any of these days is a downloadable bundle.

When do First Team to Score contracts settle?

Contracts listed to settle between 01:00 and 01:59 UTC carried 21 % of the USD turnover of the most traded First Team to Score contracts per day over the newest 30 captured days on Kalshi. The hour-by-hour profile on this page shows the whole day; every contract file carries nanosecond exchange timestamps, so any finer profile can be computed from the bundle.

Which market types does Kalshi list for MLS?

Kalshi lists each market type as its own series — 17 MLS series with 26,711 contracts listed as of 2026-11-02: total / over-under 5,943 · period markets 3,567 · player & team props 3,439 · spread / handicap 2,688 · moneyline / winner 1,497. First Team to Score 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.

Which weekday does Kalshi First Team to Score trade most?

Sundays — about $7.7K of USD turnover per Sunday and 29 % of the series' turnover over the 11 captured days to 2026-10-15 on Kalshi, summed from every trade print of the series' contracts. The weekday profile on this page shows all seven days; the day bundles carry the full tape behind them.

How much of First Team to Score turnover trades on game day?

96 % — across 188 settled First Team to Score contracts between 2026-08-13 and 2026-10-15 on Kalshi, 96 % of their USD turnover printed on the UTC day the contract settled and 4 % on the days before, summed from every trade of the most traded contracts per day. The pre-event share is where line-movement features live; the day bundles hold both.

How long before an event do First Team to Score contracts trade?

A median of 1 captured trading day per contract, settlement day included — across 188 settled First Team to Score contracts to 2026-10-15 on Kalshi, counting the UTC days a contract ranked among the series' most traded. Buy those days as a range (/shop/bundles?bundle=kalshi-kxmlsftts&d=<from>..<to>) to get the whole pre-event path of each contract.

Topics

Topic hubs featuring this series