predict.fun WTA Tennis (matches & props) Data
Every predict.fun “WTA Tennis (matches & props)” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 5 trading days as day bundles, €1 per day, bought as a guest with instant download.
WTA Tennis (matches & props) on predict.fun — activity
Trades and USD turnover summed over every contract of the series across 5 captured days to 2026-10-13, 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.
One purchase, the whole series for a day
A series-day bundle contains every WTA Tennis (matches & props) contract that was listed on predict.fun on that UTC day — traded or not — 29 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 — 5 trading days, 17.1 MB compressed in total. A day typically holds 19 contract files (up to 32 on the busiest day, 7.05 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.
WTA Tennis (matches & props) — development since capture
4,775 trades and $535.7K of USD turnover over 5 captured days since 2026-10-09 — record day 2026-10-12 with $241.4K, biggest single contract wta-mcnally-starodu-2026-10-12_wuhan-tennis-open-caty-mc_3178935 (2026-10-12, $119.4K).
| Month | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|
| Oct 2026 (month to date) | 5 | 4,775 | $535.7K | $107.1K | 60 | 1.1M | — |
predict.fun WTA Tennis (matches & props) — 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.
WTA Tennis (matches & props) — activity by weekday
Mondays carry the most turnover, about $241.4K per day.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $241.4K | 1.9K | 1 | |
| Tuesday | $216.7K | 2.1K | 1 | |
| Wednesday | — | — | 0 | |
| Thursday | — | — | 0 | |
| Friday | $23.6K | 394 | 1 | |
| Saturday | $54.0K | 398 | 1 | |
| Sunday | $0 | 0 | 1 |
predict.fun WTA Tennis (matches & props) — 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 —.
WTA Tennis (matches & props) — last 5 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-13 | 29 | 7.05 MB | 28 | 2,128 | $216.7K | 51 % | 1.42 ¢ | $2.7K | 513.7K | Buy day → | |
| 2026-10-12 | 32 | 6.14 MB | 26 | 1,855 | $241.4K | 52 % | 1.61 ¢ | $1.5K | 472.2K | Buy day → | |
| 2026-10-11 | 27 | 2.97 MB | 0 | 0 | $0 | — | — | — | 58.6K | Buy day → | |
| 2026-10-10 | 3 | 405 KB | 2 | 398 | $54.0K | 64 % | 1.20 ¢ | $3.6K | 23.9K | Buy day → | |
| 2026-10-09 | 4 | 588 KB | 4 | 394 | $23.6K | 61 % | 2.43 ¢ | $3.9K | 36.2K | Buy 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 —.
Most traded WTA Tennis (matches & props) 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 WTA Tennis (matches & props) contracts on 2026-10-13 — 8 closed Yes (≥ 0.97), 2 closed No (≤ 0.03): 1,898 trades, $213.9K USD turnover. The busiest contract was wta-sakkari-kostyuk-2026-10-13_wuhan-tennis-open-maria-s_3233324 with $100.9K turnover.
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.
2026-10-12 — 10 contracts, 1,602 trades, $236.7K turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-12 — 3 closed Yes (≥ 0.97), 3 closed No (≤ 0.03), 4 still open at the last print: 1,602 trades, $236.7K USD turnover. The busiest contract was wta-mcnally-starodu-2026-10-12_wuhan-tennis-open-caty-mc_3178935 with $119.4K turnover.
2026-10-10 — 2 contracts, 398 trades, $54.0K turnover
The 2 most traded WTA Tennis (matches & props) contracts on 2026-10-10 — 1 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 1 still open at the last print: 398 trades, $54.0K USD turnover. The busiest contract was wta-andreev-bartunk-2026-10-09_china-open-mirra-andreeva_3068211 with $41.4K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-andreev-bartunk-2026-10-09_china-open-mirra-andreeva_3068211 | 0.690 | 0.990 | 0.661 | 0.990 | 0.762 | Yes | 289 | $41.4K | 58 % | buy file → |
| wta-zhen-mertens-2026-10-10_china-open-qinwen-zheng-vs-e_3095311 | 0.560 | 0.610 | 0.560 | 0.600 | 0.587 | open | 109 | $12.6K | 86 % | buy file → |
2026-10-09 — 4 contracts, 394 trades, $23.6K turnover
The 4 most traded WTA Tennis (matches & props) contracts on 2026-10-09 — 2 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 2 still open at the last print: 394 trades, $23.6K USD turnover. The busiest contract was wta-zhen-svitoli-2026-10-08_china-open-qinwen-zheng-vs-e_3044479 with $10.4K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-zhen-svitoli-2026-10-08_china-open-qinwen-zheng-vs-e_3044479 | 0.830 | 0.990 | 0.550 | 0.990 | 0.832 | Yes | 129 | $10.4K | 48 % | buy file → |
| wta-mertens-swiatek-2026-10-07_china-open-elise-mertens_3040584 | 0.200 | 0.990 | 0.190 | 0.990 | 0.489 | Yes | 223 | $8.3K | 60 % | buy file → |
| wta-andreev-bartunk-2026-10-09_china-open-mirra-andreeva_3068211 | 0.700 | 0.700 | 0.680 | 0.690 | 0.695 | open | 32 | $4.7K | 91 % | buy file → |
| wta-zhen-mertens-2026-10-10_china-open-qinwen-zheng-vs-e_3095311 | 0.590 | 0.590 | 0.560 | 0.560 | 0.580 | open | 10 | $295.87 | 96 % | buy file → |
How a WTA Tennis (matches & props) contract trades
On predict.fun, a WTA Tennis (matches & props) contract trades for about 46 h from open to close, and quotes in 1 ¢ price steps (0..1). Measured on the 10 contracts captured on 2026-10-13.
Why buy predict.fun WTA Tennis (matches & props) 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
predict.fun WTA Tennis (matches & props) data — FAQ
What predict.fun WTA Tennis (matches & props) data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of the WTA Tennis (matches & props) series on predict.fun (29 contract files on the latest day). One bundle = one UTC day of the whole series.
How far back does the WTA Tennis (matches & props) data go?
Coverage runs October 2026 – present — 5 trading days in total.
What format are the predict.fun 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 predict.fun WTA Tennis (matches & props) 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. predict.fun 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 predict.fun WTA Tennis (matches & props) 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 WTA Tennis (matches & props) 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 predict.fun WTA Tennis (matches & props) 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 WTA Tennis (matches & props) contracts trade per day on predict.fun?
On average 12 WTA Tennis (matches & props) contracts had at least one trade per UTC day over the last 5 captured days on predict.fun, with about 220.9K order-book level updates recorded per day. A day bundle contains every contract file of the series for that day.
How liquid are predict.fun WTA Tennis (matches & props) contracts?
Over the last 5 captured days, the turnover-weighted quoted bid-ask spread was 1.53 ¢ (contracts quote 0..1 = 100 ¢), the mean best-bid/best-ask notional was about $2.3K per side, 53 % 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 WTA Tennis (matches & props) contract on 2026-10-13?
wta-sakkari-kostyuk-2026-10-13_wuhan-tennis-open-maria-s_3233324 — $100.9K USD turnover over 339 trades on predict.fun. The 10 most traded contracts of the series did 1,898 trades and $213.9K 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.
What was the busiest WTA Tennis (matches & props) trading day on predict.fun?
2026-10-12, with $241.4K of USD turnover over 1,855 trades across every WTA Tennis (matches & props) contract of the day. Since our statistics began on 2026-10-09 the series has recorded 4,775 trades and $535.7K over 5 captured days; the single biggest contract was wta-mcnally-starodu-2026-10-12_wuhan-tennis-open-caty-mc_3178935 on 2026-10-12 with $119.4K. Any of these days is a downloadable bundle.