Ligue 1 Prediction Market Data
Tick-by-tick trades and L2 order-book depth for 14 Ligue 1 series on Kalshi & Polymarket & predict.fun — Ligue 1 game winners, spreads and totals, first-half winners and correct scores, Ligue 2 games, relegation. 1,710 series-days covering August 2025 – present; 295.0K trades · $18.7M 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.
Ligue 1 on Kalshi & Polymarket & predict.fun
Ligue 1 and Ligue 2 markets — games, spreads, totals, first-half lines, correct scores, relegation.
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 Ligue 1 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 | Ligue 1 Game | Kalshi | 146,149 | $8.0M | 26 | Buy days |
| 2 | Ligue 1 Soccer | Polymarket | 54,206 | $7.2M | 30 | Buy days |
| 3 | Ligue 1 Total | Kalshi | 35,398 | $1.5M | 19 | Buy days |
| 4 | Ligue 2 | Polymarket | 9,627 | $523.1K | 30 | Buy days |
| 5 | Ligue 2 Game | Kalshi | 13,114 | $399.4K | 15 | Buy days |
| 6 | Ligue 1 Spread | Kalshi | 12,766 | $359.2K | 19 | Buy days |
| 7 | Point Total (KXLIGUE2TOTAL) | Kalshi | 6,404 | $224.3K | 10 | Buy days |
| 8 | Ligue 1 First Half Winner | Kalshi | 4,903 | $198.3K | 11 | Buy days |
| 9 | Ligue 1 Soccer | predict.fun | 4,360 | $130.9K | 4 | Buy days |
| 10 | Correct Score (KXLIGUE1SCORE) | Kalshi | 5,964 | $82.1K | 11 | Buy days |
Trades and USD turnover summed over every contract of the series, from the recorded tick data; 30 days to 2026-10-12. Series without statistics in the window are omitted.
Ligue 1 activity per venue
| Venue | Series | With stats | Trades (30d) | Turnover (30d) |
|---|---|---|---|---|
| Kalshi | 11 | 11 | 226,852 | $10.9M |
| Polymarket | 2 | 2 | 63,833 | $7.7M |
| predict.fun | 1 | 1 | 4,360 | $130.9K |
30 days to 2026-10-12, from our own daily statistics per contract.
Ligue 1 — development since capture
818,685 trades and $56.4M of USD turnover across 14 series since 2026-07-26; busiest single series-day 2026-08-23 with $3.4M, biggest contract fl1-ren-olm-2026-09-11-ren (2026-09-11, $1.5M).
| Month | Series active | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|---|
| Oct 2026 (month to date) | 14 | 12 | 127,970 | $7.0M | $584.0K | 2,578 | 85.8M | — |
| Sep 2026 | 13 | 30 | 370,499 | $27.2M | $906.2K | 7,248 | 212.8M | +22.2 % |
| Aug 2026 | 13 | 31 | 320,215 | $22.3M | $717.9K | 5,548 | 205.5M | +1107139096.0 % |
| Jul 2026 | 2 | 6 | 1 | $2.01 | $0.33 | — | — | — |
Ligue 1 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.
Ligue 1 — turnover by weekday
Sundays are the busiest day at about $1.9M of USD turnover, averaged over the captured days of the last 30.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $60.2K | 1.4K | 5 | |
| Tuesday | $3.2K | 217.5 | 4 | |
| Wednesday | $5.0K | 243.5 | 4 | |
| Thursday | $11.1K | 401.5 | 4 | |
| Friday | $756.2K | 15.2K | 4 | |
| Saturday | $1.5M | 23.9K | 4 | |
| Sunday | $1.9M | 25.7K | 5 |
Ligue 1 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 Ligue 1 series — 30 days vs the 30 before
| # | Series | Venue | Turnover (30d) | Prior 30d | Growth (avg / day) | Trades (30d) |
|---|---|---|---|---|---|---|
| 1 | 1st Half Correct Score (KXLIGUE11HSCORE) | Kalshi | $55.0K | $29.3K | +155.9 % | 1,449 |
| 2 | Ligue 1 First Half Winner | Kalshi | $198.3K | $225.7K | +59.7 % | 4,903 |
| 3 | Ligue 1 Spread | Kalshi | $359.2K | $403.4K | +40.6 % | 12,766 |
| 4 | Point Total (KXLIGUE2TOTAL) | Kalshi | $224.3K | $366.9K | +16.1 % | 6,404 |
| 5 | Correct Score (KXLIGUE1SCORE) | Kalshi | $82.1K | $130.6K | +14.3 % | 5,964 |
Growth of average USD turnover per captured day, the 30 days to 2026-10-12 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.
Ligue 1 prediction markets — trades and turnover per day
Every captured UTC day of the last 30, summed over the 14 Ligue 1 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 |
|---|---|---|---|---|---|---|
| 2026-10-12 | 11 | 119 | 2,755 | $125.1K | 62 % | 5.6M |
| 2026-10-11 | 14 | 385 | 28,328 | $1.9M | 72 % | 12.4M |
| 2026-10-10 | 14 | 840 | 65,776 | $3.7M | 57 % | 21.6M |
| 2026-10-09 | 14 | 606 | 29,366 | $1.2M | 68 % | 16.1M |
| 2026-10-08 | 13 | 196 | 657 | $19.0K | 79 % | 5.0M |
| 2026-10-07 | 12 | 94 | 335 | $6.1K | 38 % | 5.2M |
| 2026-10-06 | 9 | 88 | 205 | $4.2K | 72 % | 6.1M |
| 2026-10-05 | 9 | 82 | 170 | $2.2K | 89 % | 5.5M |
| 2026-10-04 | 8 | 72 | 167 | $5.0K | 54 % | 4.2M |
| 2026-10-03 | 8 | 55 | 137 | $3.0K | 92 % | 1.8M |
| 2026-10-02 | 8 | 23 | 43 | $116.9 | 61 % | 924.4K |
| 2026-10-01 | 6 | 18 | 31 | $490.89 | 84 % | 1.3M |
| 2026-09-30 | 6 | 34 | 62 | $1.4K | 75 % | 1.8M |
| 2026-09-29 | 6 | 21 | 64 | $1.4K | 92 % | 1.7M |
| 2026-09-28 | 6 | 25 | 49 | $685.27 | 37 % | 2.0M |
| 2026-09-27 | 6 | 160 | 178 | $541.56 | 84 % | 1.5M |
| 2026-09-26 | 6 | 109 | 124 | $556.99 | 92 % | 649.9K |
| 2026-09-25 | 6 | 6 | 44 | $360.37 | 83 % | 22.7K |
| 2026-09-24 | 5 | 2 | 19 | $79.93 | 94 % | 26.5K |
| 2026-09-23 | 5 | 4 | 40 | $979.7 | 99 % | 28.3K |
| 2026-09-22 | 5 | 6 | 112 | $456.22 | 31 % | 65.7K |
| 2026-09-21 | 5 | 7 | 99 | $230.16 | 62 % | 34.3K |
| 2026-09-20 | 11 | 311 | 54,999 | $4.3M | 63 % | 8.4M |
| 2026-09-19 | 13 | 603 | 29,753 | $2.2M | 67 % | 11.0M |
| 2026-09-18 | 13 | 806 | 31,210 | $1.8M | 65 % | 15.3M |
| 2026-09-17 | 13 | 238 | 899 | $24.7K | 87 % | 7.9M |
| 2026-09-16 | 12 | 152 | 537 | $11.4K | 92 % | 6.5M |
| 2026-09-15 | 9 | 160 | 489 | $6.6K | 78 % | 6.7M |
| 2026-09-14 | 10 | 170 | 3,778 | $172.8K | 60 % | 7.8M |
| 2026-09-13 | 13 | 503 | 44,619 | $3.2M | 68 % | 15.4M |
Per UTC day, summed over every Ligue 1 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 Ligue 1 contracts on 2026-10-12
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 | |
|---|---|---|---|---|---|---|---|
| KXLIGUE2GAME-26OCT12DIJFCM-DIJ | Ligue 2 Game | Kalshi | 0.340 → 0.990 | Yes | 576 | $69.8K | buy file → |
| KXLIGUE2TOTAL-26OCT12DIJFCM-6 | Point Total (KXLIGUE2TOTAL) | Kalshi | 0.060 → 0.990 | Yes | 269 | $6.5K | buy file → |
| KXLIGUE2TOTAL-26OCT12DIJFCM-3 | Point Total (KXLIGUE2TOTAL) | Kalshi | 0.560 → 0.990 | Yes | 116 | $5.6K | buy file → |
| fr2-dij-met-2026-10-12-met | Ligue 2 | Polymarket | 0.380 → 0.001 | No | 102 | $4.6K | buy file → |
| fr2-dij-met-2026-10-12-total-1pt5 | Ligue 2 | Polymarket | 0.800 → 0.740 | open | 28 | $4.4K | buy file → |
| KXLIGUE2TOTAL-26OCT12DIJFCM-5 | Point Total (KXLIGUE2TOTAL) | Kalshi | 0.150 → 0.990 | Yes | 89 | $3.6K | buy file → |
| fr2-dij-met-2026-10-12-dij | Ligue 2 | Polymarket | 0.350 → 0.999 | Yes | 102 | $3.5K | buy file → |
| fr2-dij-met-2026-10-12-total-2pt5 | Ligue 2 | Polymarket | 0.540 → 0.999 | Yes | 50 | $3.1K | buy file → |
| fr2-dij-met-2026-10-12-total-4pt5 | Ligue 2 | Polymarket | 0.150 → 0.999 | Yes | 28 | $2.6K | buy file → |
| fl1-lor-asm-2026-10-18-total-1pt5 | Ligue 1 Soccer | Polymarket | 0.750 → 0.750 | open | 15 | $2.3K | buy file → |
Single contracts ranked by USD turnover on 2026-10-12 (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 Ligue 1 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 | |
|---|---|---|---|---|---|---|---|
| Ligue 1 Game | Kalshi | event | 154 | February 2026 – present | 1.51 GB | €1 | Buy days |
| Ligue 1 Total | Kalshi | event | 133 | March 2026 – present | 845 MB | €1 | Buy days |
| Ligue 1 Spread | Kalshi | event | 133 | March 2026 – present | 453 MB | €1 | Buy days |
| Correct Score (KXLIGUE1SCORE) | Kalshi | event | 31 | August 2026 – present | 310 MB | €1 | Buy days |
| Ligue 2 Game | Kalshi | event | 46 | August 2026 – present | 208 MB | €1 | Buy days |
| Ligue 1 First Half Winner | Kalshi | event | 115 | March 2026 – present | 161 MB | €1 | Buy days |
| Point Total (KXLIGUE2TOTAL) | Kalshi | event | 30 | August 2026 – present | 132 MB | €1 | Buy days |
| 1st Half Correct Score (KXLIGUE11HSCORE) | Kalshi | event | 26 | August 2026 – present | 53.8 MB | €1 | Buy days |
| LIGUE 1 | Kalshi | annual | 162 | March 2026 – present | 45.1 MB | €1 | Buy days |
| Ligue 1 Relegation | Kalshi | annual | 175 | March 2026 – present | 24.8 MB | €1 | Buy days |
| Team Points (KXLIGUE1TEAMPOINTS) | Kalshi | event | 75 | July 2026 – present | 6.50 MB | €1 | Buy days |
Polymarket Ligue 1 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 | |
|---|---|---|---|---|---|---|---|
| Ligue 1 Soccer | Polymarket | event | 361 | August 2025 – present | 19.0 GB | €1 | Buy days |
| Ligue 2 | Polymarket | event | 265 | November 2025 – present | 6.44 GB | €1 | Buy days |
predict.fun Ligue 1 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 | |
|---|---|---|---|---|---|---|---|
| Ligue 1 Soccer | predict.fun | event | 4 | October 2026 – present | 143 MB | €1 | Buy days |
Why buy Ligue 1 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
Ligue 1 prediction-market data — FAQ
Does Kalshi have Ligue 1 markets?
Yes — Ligue 1 game winners, spreads, totals, first-half winners, full and first-half correct scores, season winner and relegation, plus Ligue 2 games. Polymarket Ligue 1 and Ligue 2 moneylines, spreads and totals are archived as families too.
How is Ligue 1 prediction-market data sold?
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 Ligue 1 data go?
Coverage runs August 2025 – present — 1,710 series-days across 14 series on Kalshi & Polymarket & predict.fun. Each series page lists its exact span.
Can I get Ligue 1 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. Both venues 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 Ligue 1 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 Ligue 1 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 Ligue 1 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 busiest Ligue 1 trading day?
2026-08-23 — $3.4M of USD turnover over 14,321 trades in a single series-day. Since our statistics began on 2026-07-26, 14 Ligue 1 series recorded 818,685 trades and $56.4M in total; the biggest single contract was fl1-ren-olm-2026-09-11-ren on 2026-09-11 at $1.5M. Sundays are the busiest weekday at about $1.9M per day.