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. 17 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 17 captured days to 2026-10-25, 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 — 2 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 — 17 trading days, 52.9 MB compressed in total. A day typically holds 14 contract files (up to 32 on the busiest day, 7.06 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
13,600 trades and $1.6M of USD turnover over 17 captured days since 2026-10-09 — record day 2026-10-14 with $305.6K, biggest single contract wta-fernand-alexand-2026-10-22_ningbo-open-leylah-fernan_3641808 (FERNAND vs ALEXAND · 2026-10-22) (2026-10-23, $127.9K).
| Month | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|
| Oct 2026 | 17 | 13,600 | $1.6M | $92.4K | 134 | 3.5M | — |
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 markets on other prediction venues
Kalshi, Polymarket also list WTA 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 |
|---|---|---|---|---|---|---|---|
| predict.fun · WTA Tennis (matches & props) (this page) | 13,600 | $1.6M | 1.40 ¢ | $3.6K | 254.1 | 17 | €1 |
| Kalshi · WTA Tennis Match | 3,474,004 | $325.3M | 1.72 ¢ | $31.6K | 35.2 | 250 | €1 |
| Polymarket · WTA Tennis (matches & props) | 411,073 | $74.5M | 2.48 ¢ | $17.6K | 499.4 | 361 | €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.
WTA Tennis (matches & props) — activity by weekday and hour
Wednesdays carry the most turnover, about $231.4K per day. Contracts listed to settle 11:00–11:59 UTC take 30 % of the turnover of the most traded contracts.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $120.7K | 927.5 | 2 | |
| Tuesday | $112.1K | 1.1K | 2 | |
| Wednesday | $231.4K | 2.1K | 2 | |
| Thursday | $26.0K | 382.5 | 2 | |
| Friday | $93.6K | 787.33 | 3 | |
| Saturday | $59.0K | 498.67 | 3 | |
| Sunday | $44.4K | 204 | 3 |
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 —.
| Settles (UTC) | Turnover | USD | Share | Trades | Contracts |
|---|---|---|---|---|---|
| 05:00–05:59 | $46.9K | 3.0 % | 604 | 7 | |
| 06:00–06:59 | $31.1K | 2.0 % | 351 | 5 | |
| 07:00–07:59 | $81.7K | 5.3 % | 1,229 | 12 | |
| 08:00–08:59 | $212.6K | 13.7 % | 2,321 | 12 | |
| 09:00–09:59 | $169.9K | 11.0 % | 1,295 | 10 | |
| 10:00–10:59 | $57.3K | 3.7 % | 464 | 5 | |
| 11:00–11:59 | $457.6K | 29.6 % | 1,894 | 12 | |
| 12:00–12:59 | $93.5K | 6.0 % | 963 | 7 | |
| 13:00–13:59 | $112.1K | 7.2 % | 1,134 | 9 | |
| 14:00–14:59 | $161.5K | 10.4 % | 1,126 | 5 | |
| 15:00–15:59 | $7.1K | 0.5 % | 72 | 1 | |
| 16:00–16:59 | $116.5K | 7.5 % | 1,132 | 3 |
predict.fun WTA Tennis (matches & props) — 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.
WTA Tennis (matches & props) — last 17 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-25 | 2 | 803 KB | 2 | 612 | $133.2K | 33 % | 1.28 ¢ | $9.0K | 46.4K | Buy day → | |
| 2026-10-24 | 6 | 2.77 MB | 6 | 1,098 | $123.0K | 46 % | 1.49 ¢ | $4.8K | 176.4K | Buy day → | |
| 2026-10-23 | 12 | 5.14 MB | 12 | 1,968 | $257.3K | 50 % | 1.28 ¢ | $2.2K | 323.3K | Buy day → | |
| 2026-10-22 | 12 | 2.16 MB | 11 | 588 | $38.7K | 62 % | 1.64 ¢ | $1.1K | 122.6K | Buy day → | |
| 2026-10-21 | 10 | 2.99 MB | 9 | 1,143 | $157.2K | 34 % | 1.40 ¢ | $2.7K | 179.2K | Buy day → | |
| 2026-10-20 | 16 | 5.18 MB | 8 | 119 | $7.5K | 58 % | 1.86 ¢ | $2.3K | 311.2K | Buy day → | |
| 2026-10-19 | 16 | 3.67 MB | 0 | 0 | $0 | — | — | — | 235.3K | Buy day → | |
| 2026-10-18 | 13 | 1.73 MB | 0 | 0 | $0 | — | — | — | 110.1K | Buy day → | |
| 2026-10-17 | 8 | 1.06 MB | 0 | 0 | $0 | — | — | — | 79.9K | Buy day → | |
| 2026-10-16 | 6 | 2.01 MB | 0 | 0 | $0 | — | — | — | 158.2K | Buy day → | |
| 2026-10-15 | 12 | 1.20 MB | 7 | 177 | $13.3K | 62 % | 1.12 ¢ | $2.1K | 67.0K | Buy day → | |
| 2026-10-14 | 22 | 7.06 MB | 19 | 3,120 | $305.6K | 50 % | 1.27 ¢ | $4.9K | 541.7K | Buy day → | |
| 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 2 most traded WTA Tennis (matches & props) contracts on 2026-10-25 — 1 closed Yes (≥ 0.97), 1 closed No (≤ 0.03): 612 trades, $133.2K USD turnover. The busiest contract was wta-rybakin-fernand-2026-10-25_ningbo-open-elena-rybakin_3761668 with $120.9K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wta-rybakin-fernand-2026-10-25_ningbo-open-elena-rybakin_3761668 RYBAKIN vs FERNAND · 2026-10-25 | 2026-10-25 11:26 | 0.750 | 0.990 | 0.620 | 0.990 | 0.885 | Yes | 384 | $120.9K | 31 % | 1.30 ¢ | $9.7K | 25.7K | buy file → |
| wta-krueger-siniako-2026-10-25_japan-women-s-open-ashlyn_3737526 KRUEGER vs SINIAKO · 2026-10-25 | 2026-10-25 07:31 | 0.440 | 0.460 | 0.010 | 0.010 | 0.115 | No | 228 | $12.3K | 55 % | 1.13 ¢ | $2.0K | 20.7K | 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).
2026-10-24 — 6 contracts, 1,098 trades, $123.0K turnover
The 6 most traded WTA Tennis (matches & props) contracts on 2026-10-24 — 2 closed Yes (≥ 0.97), 2 closed No (≤ 0.03), 2 still open at the last print: 1,098 trades, $123.0K USD turnover. The busiest contract was wta-rybakin-shnaide-2026-10-24_ningbo-open-elena-rybakin_3708696 with $55.7K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wta-rybakin-shnaide-2026-10-24_ningbo-open-elena-rybakin_3708696 RYBAKIN vs SHNAIDE · 2026-10-24 | 2026-10-24 12:06 | 0.650 | 0.990 | 0.610 | 0.990 | 0.768 | Yes | 355 | $55.7K | 44 % | 1.10 ¢ | $5.2K | 34.0K | buy file → |
| wta-fernand-bouzkov-2026-10-24_ningbo-open-leylah-fernan_3702483 FERNAND vs BOUZKOV · 2026-10-24 | 2026-10-24 10:16 | 0.500 | 0.990 | 0.290 | 0.990 | 0.769 | Yes | 253 | $40.4K | 45 % | 1.04 ¢ | $6.2K | 38.7K | buy file → |
| wta-annli-krueger-2026-10-23_japan-women-s-open-ann-li-v_3702502 ANNLI vs KRUEGER · 2026-10-23 | 2026-10-24 08:06 | 0.610 | 0.800 | 0.010 | 0.010 | 0.422 | No | 343 | $18.5K | 55 % | 1.54 ¢ | $2.3K | 57.6K | buy file → |
| wta-krueger-siniako-2026-10-25_japan-women-s-open-ashlyn_3737526 KRUEGER vs SINIAKO · 2026-10-25 | 2026-10-25 07:31 | 0.490 | 0.490 | 0.413 | 0.440 | 0.424 | open | 25 | $3.5K | 15 % | 6.50 ¢ | $351.4 | 10.2K | buy file → |
| wta-boulter-siniako-2026-10-24_japan-women-s-open-katie_3702498 BOULTER vs SINIAKO · 2026-10-24 | 2026-10-24 09:51 | 0.390 | 0.410 | 0.010 | 0.010 | 0.161 | No | 103 | $3.1K | 47 % | 1.04 ¢ | $801.63 | 33.9K | buy file → |
| wta-rybakin-fernand-2026-10-25_ningbo-open-elena-rybakin_3761668 RYBAKIN vs FERNAND · 2026-10-25 | 2026-10-25 11:26 | 0.760 | 0.780 | 0.740 | 0.750 | 0.770 | open | 19 | $1.8K | 69 % | 14.1 ¢ | $1.0K | 2.0K | buy file → |
2026-10-23 — 10 contracts, 1,956 trades, $257.2K turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-23 — 4 closed Yes (≥ 0.97), 4 closed No (≤ 0.03), 2 still open at the last print: 1,956 trades, $257.2K USD turnover. The busiest contract was wta-fernand-alexand-2026-10-22_ningbo-open-leylah-fernan_3641808 with $127.9K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wta-fernand-alexand-2026-10-22_ningbo-open-leylah-fernan_3641808 FERNAND vs ALEXAND · 2026-10-22 | 2026-10-23 09:56 | 0.440 | 0.990 | 0.210 | 0.990 | 0.627 | Yes | 385 | $127.9K | 43 % | 1.34 ¢ | $2.9K | 52.5K | buy file → |
| wta-rybakin-kawa-2026-10-23_ningbo-open-elena-rybakina-v_3670150 RYBAKIN vs KAWA · 2026-10-23 | 2026-10-23 14:46 | 0.910 | 0.990 | 0.710 | 0.990 | 0.930 | Yes | 320 | $64.4K | 51 % | 1.14 ¢ | $2.0K | 33.6K | buy file → |
| wta-jovic-shnaide-2026-10-23_ningbo-open-iva-jovic-vs-di_3670152 JOVIC vs SHNAIDE · 2026-10-23 · moneyline | 2026-10-23 12:26 | 0.540 | 0.750 | 0.010 | 0.010 | 0.314 | No | 381 | $17.3K | 56 % | 1.02 ¢ | $963.42 | 50.3K | buy file → |
| wta-bejlek-bouzkov-2026-10-22_ningbo-open-sara-bejlek-vs_3641691 BEJLEK vs BOUZKOV · 2026-10-22 · moneyline | 2026-10-23 07:31 | 0.410 | 0.480 | 0.010 | 0.010 | 0.159 | No | 373 | $15.3K | 64 % | 1.09 ¢ | $363.92 | 35.8K | buy file → |
| wta-boulter-ruzic-2026-10-22_japan-women-s-open-katie-bo_3660762 BOULTER vs RUZIC · 2026-10-22 | 2026-10-23 10:31 | 0.620 | 0.990 | 0.100 | 0.990 | 0.588 | Yes | 183 | $15.1K | 65 % | 1.04 ¢ | $1.7K | 47.9K | buy file → |
| wta-annli-tagger-2026-10-22_japan-women-s-open-ann-li-vs_3661399 ANNLI vs TAGGER · 2026-10-22 · moneyline | 2026-10-23 05:31 | 0.570 | 0.990 | 0.350 | 0.990 | 0.651 | Yes | 154 | $13.0K | 59 % | 1.08 ¢ | $1.4K | 54.7K | buy file → |
| wta-stoiana-siniako-2026-10-23_japan-women-s-open-mary-s_3664043 STOIANA vs SINIAKO · 2026-10-23 | 2026-10-23 08:16 | 0.290 | 0.300 | 0.010 | 0.010 | 0.115 | No | 104 | $2.6K | 71 % | 1.03 ¢ | $129.61 | 17.5K | buy file → |
| wta-rybakin-shnaide-2026-10-24_ningbo-open-elena-rybakin_3708696 RYBAKIN vs SHNAIDE · 2026-10-24 | 2026-10-24 12:06 | 0.654 | 0.654 | 0.630 | 0.650 | 0.651 | open | 8 | $627.87 | 94 % | 20.9 ¢ | $701.55 | 2.6K | buy file → |
| wta-fernand-bouzkov-2026-10-24_ningbo-open-leylah-fernan_3702483 FERNAND vs BOUZKOV · 2026-10-24 | 2026-10-24 10:16 | 0.460 | 0.517 | 0.460 | 0.500 | 0.515 | open | 7 | $549.48 | 97 % | 5.12 ¢ | $333.9 | 3.4K | buy file → |
| wta-gibson-krueger-2026-10-22_japan-women-s-open-talia-g_3629359 GIBSON vs KRUEGER · 2026-10-22 | 2026-10-23 06:41 | 0.417 | 0.450 | 0.010 | 0.010 | 0.155 | No | 41 | $386.13 | 14 % | 1.02 ¢ | $569.57 | 15.6K | buy file → |
2026-10-22 — 10 contracts, 587 trades, $38.7K turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-22 — 3 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 7 still open at the last print: 587 trades, $38.7K USD turnover. The busiest contract was wta-kawa-bencic-2026-10-21_ningbo-open-katarzyna-kawa-vs_3603971 with $17.1K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wta-kawa-bencic-2026-10-21_ningbo-open-katarzyna-kawa-vs_3603971 KAWA vs BENCIC · 2026-10-21 · moneyline | 2026-10-22 09:11 | 0.100 | 0.990 | 0.090 | 0.990 | 0.338 | Yes | 299 | $17.1K | 58 % | 1.45 ¢ | $803.85 | 37.1K | buy file → |
| wta-rybakin-kuderme-2026-10-20_ningbo-open-elena-rybakin_3594440 RYBAKIN vs KUDERME · 2026-10-20 | 2026-10-22 12:21 | 0.890 | 0.990 | 0.850 | 0.990 | 0.919 | Yes | 179 | $15.6K | 72 % | 1.32 ¢ | $1.3K | 23.0K | buy file → |
| wta-jovic-paolini-2026-10-20_ningbo-open-iva-jovic-vs-ja_3594422 JOVIC vs PAOLINI · 2026-10-20 · moneyline | 2026-10-22 07:06 | 0.640 | 0.990 | 0.560 | 0.980 | 0.859 | Yes | 31 | $2.5K | 22 % | 2.07 ¢ | $2.6K | 8.2K | buy file → |
| wta-eala-shnaide-2026-10-20_ningbo-open-alexandra-eala-v_3594425 EALA vs SHNAIDE · 2026-10-20 | 2026-10-22 11:26 | 0.400 | 0.520 | 0.110 | 0.130 | 0.345 | open | 21 | $1.6K | 90 % | 1.62 ¢ | $218.25 | 18.9K | buy file → |
| wta-bejlek-bouzkov-2026-10-22_ningbo-open-sara-bejlek-vs_3641691 BEJLEK vs BOUZKOV · 2026-10-22 · moneyline | 2026-10-23 07:31 | 0.410 | 0.410 | 0.390 | 0.410 | 0.398 | open | 17 | $671.55 | 42 % | 1.82 ¢ | $353.22 | 7.7K | buy file → |
| wta-fernand-alexand-2026-10-22_ningbo-open-leylah-fernan_3641808 FERNAND vs ALEXAND · 2026-10-22 | 2026-10-23 09:56 | 0.400 | 0.450 | 0.400 | 0.440 | 0.447 | open | 17 | $627.23 | 91 % | 1.69 ¢ | $462.92 | 7.6K | buy file → |
| wta-rybakin-kawa-2026-10-23_ningbo-open-elena-rybakina-v_3670150 RYBAKIN vs KAWA · 2026-10-23 | 2026-10-23 14:46 | 0.900 | 0.920 | 0.900 | 0.910 | 0.905 | open | 4 | $315.21 | 0 % | 22.8 ¢ | $923.67 | 2.1K | buy file → |
| wta-annli-tagger-2026-10-22_japan-women-s-open-ann-li-vs_3661399 ANNLI vs TAGGER · 2026-10-22 · moneyline | 2026-10-23 05:31 | 0.560 | 0.570 | 0.560 | 0.570 | 0.561 | open | 12 | $154.69 | 17 % | 2.26 ¢ | $313.78 | 3.8K | buy file → |
| wta-jovic-shnaide-2026-10-23_ningbo-open-iva-jovic-vs-di_3670152 JOVIC vs SHNAIDE · 2026-10-23 · moneyline | 2026-10-23 12:26 | 0.510 | 0.540 | 0.500 | 0.540 | 0.515 | open | 5 | $92.19 | 62 % | 4.34 ¢ | $127.18 | 2.8K | buy file → |
| wta-gibson-krueger-2026-10-22_japan-women-s-open-talia-g_3629359 GIBSON vs KRUEGER · 2026-10-22 | 2026-10-23 06:41 | 0.420 | 0.420 | 0.417 | 0.417 | 0.417 | open | 2 | $81.41 | 100 % | 1.93 ¢ | $192.55 | 3.7K | buy file → |
2026-10-21 — 9 contracts, 1,143 trades, $157.2K turnover
The 9 most traded WTA Tennis (matches & props) contracts on 2026-10-21 — 3 closed Yes (≥ 0.97), 1 closed No (≤ 0.03), 5 still open at the last print: 1,143 trades, $157.2K USD turnover. The busiest contract was wta-fernand-sasnovi-2026-10-20_ningbo-open-leylah-fernan_3548417 with $95.1K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wta-fernand-sasnovi-2026-10-20_ningbo-open-leylah-fernan_3548417 FERNAND vs SASNOVI · 2026-10-20 | 2026-10-21 11:16 | 0.670 | 0.990 | 0.410 | 0.990 | 0.756 | Yes | 411 | $95.1K | 30 % | 1.24 ¢ | $2.8K | 49.6K | buy file → |
| wta-cirstea-bejlek-2026-10-20_ningbo-open-sorana-cirstea_3594419 CIRSTEA vs BEJLEK · 2026-10-20 | 2026-10-21 13:26 | 0.680 | 0.812 | 0.010 | 0.010 | 0.486 | No | 299 | $26.0K | 33 % | 2.25 ¢ | $782.52 | 41.3K | buy file → |
| wta-bouzkov-zakharo-2026-10-20_ningbo-open-marie-bouzkov_3594420 BOUZKOV vs ZAKHARO · 2026-10-20 | 2026-10-21 07:36 | 0.800 | 0.990 | 0.550 | 0.990 | 0.876 | Yes | 199 | $21.3K | 53 % | 1.16 ¢ | $4.3K | 25.6K | buy file → |
| wta-alexand-kostyuk-2026-10-21_ningbo-open-ekaterina-ale_3603973 ALEXAND vs KOSTYUK · 2026-10-21 | 2026-10-21 14:26 | 0.420 | 0.990 | 0.390 | 0.990 | 0.708 | Yes | 133 | $10.3K | 37 % | 1.10 ¢ | $3.0K | 17.6K | buy file → |
| wta-rybakin-kuderme-2026-10-20_ningbo-open-elena-rybakin_3594440 RYBAKIN vs KUDERME · 2026-10-20 | 2026-10-22 12:21 | 0.890 | 0.900 | 0.870 | 0.890 | 0.890 | open | 29 | $4.1K | 5 % | 1.57 ¢ | $2.0K | 6.4K | buy file → |
| wta-eala-shnaide-2026-10-20_ningbo-open-alexandra-eala-v_3594425 EALA vs SHNAIDE · 2026-10-20 | 2026-10-22 11:26 | 0.400 | 0.430 | 0.390 | 0.400 | 0.407 | open | 30 | $268.09 | 61 % | 1.44 ¢ | $828.3 | 13.1K | buy file → |
| wta-jovic-paolini-2026-10-20_ningbo-open-iva-jovic-vs-ja_3594422 JOVIC vs PAOLINI · 2026-10-20 · moneyline | 2026-10-22 07:06 | 0.640 | 0.670 | 0.640 | 0.640 | 0.660 | open | 26 | $102.13 | 83 % | 1.66 ¢ | $1.3K | 12.4K | buy file → |
| wta-kawa-bencic-2026-10-21_ningbo-open-katarzyna-kawa-vs_3603971 KAWA vs BENCIC · 2026-10-21 · moneyline | 2026-10-22 09:11 | 0.110 | 0.120 | 0.095 | 0.100 | 0.114 | open | 15 | $64.15 | 88 % | 9.38 ¢ | $294.13 | 6.2K | buy file → |
| wta-fernand-alexand-2026-10-22_ningbo-open-leylah-fernan_3641808 FERNAND vs ALEXAND · 2026-10-22 | 2026-10-23 09:56 | 0.400 | 0.400 | 0.400 | 0.400 | 0.400 | open | 1 | $0.67 | 0 % | 36.5 ¢ | $262.41 | 798 | buy file → |
2026-10-20 — 8 contracts, 119 trades, $7.5K turnover
The 8 most traded WTA Tennis (matches & props) contracts on 2026-10-20 — 1 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 7 still open at the last print: 119 trades, $7.5K USD turnover. The busiest contract was wta-kawa-snigur-2026-10-20_ningbo-open-katarzyna-kawa-vs_3548428 with $7.1K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wta-kawa-snigur-2026-10-20_ningbo-open-katarzyna-kawa-vs_3548428 KAWA vs SNIGUR · 2026-10-20 · moneyline | 2026-10-20 15:11 | 0.630 | 0.990 | 0.560 | 0.990 | 0.818 | Yes | 72 | $7.1K | 58 % | 1.46 ¢ | $2.4K | 56.6K | buy file → |
| wta-cirstea-bejlek-2026-10-20_ningbo-open-sorana-cirstea_3594419 CIRSTEA vs BEJLEK · 2026-10-20 | 2026-10-21 13:26 | 0.720 | 0.720 | 0.660 | 0.680 | 0.678 | open | 9 | $267.38 | 83 % | 8.34 ¢ | $389.64 | 6.3K | buy file → |
| wta-bouzkov-zakharo-2026-10-20_ningbo-open-marie-bouzkov_3594420 BOUZKOV vs ZAKHARO · 2026-10-20 | 2026-10-21 07:36 | 0.790 | 0.810 | 0.780 | 0.800 | 0.793 | open | 12 | $73.8 | 9 % | 9.64 ¢ | $2.0K | 6.0K | buy file → |
| wta-fernand-sasnovi-2026-10-20_ningbo-open-leylah-fernan_3548417 FERNAND vs SASNOVI · 2026-10-20 | 2026-10-21 11:16 | 0.630 | 0.670 | 0.630 | 0.670 | 0.658 | open | 9 | $40.66 | 12 % | 4.28 ¢ | $1.2K | 12.0K | buy file → |
| wta-jovic-paolini-2026-10-20_ningbo-open-iva-jovic-vs-ja_3594422 JOVIC vs PAOLINI · 2026-10-20 · moneyline | 2026-10-22 07:06 | 0.670 | 0.670 | 0.640 | 0.640 | 0.645 | open | 6 | $22.76 | 22 % | 8.79 ¢ | $1.1K | 2.9K | buy file → |
| wta-eala-shnaide-2026-10-20_ningbo-open-alexandra-eala-v_3594425 EALA vs SHNAIDE · 2026-10-20 | 2026-10-22 11:26 | 0.390 | 0.410 | 0.390 | 0.400 | 0.407 | open | 4 | $11.94 | 84 % | 8.43 ¢ | $1.0K | 3.1K | buy file → |
| wta-rybakin-kuderme-2026-10-20_ningbo-open-elena-rybakin_3594440 RYBAKIN vs KUDERME · 2026-10-20 | 2026-10-22 12:21 | 0.890 | 0.890 | 0.870 | 0.890 | 0.878 | open | 6 | $11.69 | 43 % | 10.2 ¢ | $2.7K | 1.8K | buy file → |
| wta-alexand-kostyuk-2026-10-21_ningbo-open-ekaterina-ale_3603973 ALEXAND vs KOSTYUK · 2026-10-21 | 2026-10-21 14:26 | 0.420 | 0.420 | 0.420 | 0.420 | 0.420 | open | 1 | $7 | 100 % | 12.2 ¢ | $742.15 | 3.4K | buy file → |
2026-10-15 — 7 contracts, 177 trades, $13.3K turnover
The 7 most traded WTA Tennis (matches & props) contracts on 2026-10-15 — 1 closed Yes (≥ 0.97), 1 closed No (≤ 0.03), 5 still open at the last print: 177 trades, $13.3K USD turnover. The busiest contract was wta-jovic-chwalin-2026-10-14_wuhan-tennis-open-iva-jovic_3313144 with $8.4K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wta-jovic-chwalin-2026-10-14_wuhan-tennis-open-iva-jovic_3313144 JOVIC vs CHWALIN · 2026-10-14 | 2026-10-15 08:56 | 0.730 | 0.780 | 0.010 | 0.010 | 0.524 | No | 68 | $8.4K | 75 % | 1.14 ¢ | $2.4K | 14.3K | buy file → |
| wta-svitoli-guo-2026-10-15_wuhan-tennis-open-elina-svito_3321775 SVITOLI vs GUO · 2026-10-15 | 2026-10-15 07:36 | 0.900 | 0.990 | 0.860 | 0.990 | 0.917 | Yes | 33 | $2.8K | 15 % | 1.06 ¢ | $2.4K | 7.5K | buy file → |
| wta-muchova-shnaide-2026-10-14_wuhan-tennis-open-karolin_3313127 MUCHOVA vs SHNAIDE · 2026-10-14 | 2026-10-15 05:56 | 0.520 | 0.520 | 0.166 | 0.166 | 0.211 | open | 10 | $683.98 | 69 % | 1.16 ¢ | $446.45 | 1.7K | buy file → |
| wta-paolini-kartal-2026-10-14_wuhan-tennis-open-jasmine_3313145 PAOLINI vs KARTAL · 2026-10-14 | 2026-10-15 11:31 | 0.490 | 0.560 | 0.050 | 0.050 | 0.302 | open | 18 | $662.86 | 88 % | 1.05 ¢ | $531.8 | 4.2K | buy file → |
| wta-pohanko-sakkari-2026-10-14_wuhan-tennis-open-mia-poh_3289545 POHANKO vs SAKKARI · 2026-10-14 | 2026-10-15 08:26 | 0.310 | 0.320 | 0.020 | 0.040 | 0.126 | open | 37 | $435.59 | 59 % | 1.12 ¢ | $1.1K | 4.2K | buy file → |
| wta-fernand-ostapen-2026-10-15_wuhan-tennis-open-leylah_3321785 FERNAND vs OSTAPEN · 2026-10-15 | 2026-10-15 10:31 | 0.440 | 0.610 | 0.170 | 0.190 | 0.271 | open | 5 | $253.16 | 49 % | 1.15 ¢ | $807.06 | 1.7K | buy file → |
| wta-krueger-swiatek-2026-10-15_wuhan-tennis-open-ashlyn_3321782 KRUEGER vs SWIATEK · 2026-10-15 | 2026-10-15 13:56 | 0.100 | 0.100 | 0.030 | 0.030 | 0.073 | open | 6 | $15.83 | 73 % | 1.17 ¢ | $475.38 | 3.2K | buy file → |
WTA Tennis (matches & props) — market types in the family
The WTA Tennis (matches & props) family on predict.fun has listed 102 contracts as of 2026-11-03: moneyline / winner 21 · player & team props 1 · other 80. 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 |
|---|---|---|---|
| moneyline / winner | 21 | 21 | 21 % |
| player & team props | 1 | 1 | 1 % |
| other | 80 | 80 | 78 % |
| Total | 102 | 102 | 100 % |
predict.fun WTA Tennis (matches & props)— 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 2026-11-03; “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 WTA Tennis (matches & props) contract trades
On predict.fun, a WTA Tennis (matches & props) contract trades for about 20 h from open to close, and quotes in 1 ¢ price steps (0..1). Measured on the 2 contracts captured on 2026-10-25.
Try a WTA Tennis (matches & props) contract file for free
The busiest contract of a settled day, byte-identical to the files in the paid bundle — download the native tick file, a CSV/Parquet export, or replay its order book in the browser.
wta-fernand-alexand-2026-10-22_ningbo-open-leylah-fernan_3641808 minute by minute — 2026-10-23
One-minute open/high/low/close, trades, USD turnover, quoted spread and top-of-book depth of the sample contract — the same 1-minute statistics every instrument’s analytics page offers.
wta-fernand-alexand-2026-10-22_ningbo-open-leylah-fernan_3641808 traded in 135 of the day’s minutes (00:07–09:26 UTC): 385 trades, $127.9K turnover, opening at 0.440, ranging 0.210–0.990 and closing at 0.990.
| Minute (UTC) | Open | High | Low | Close | Trades | Turnover | Spread | Top-1 bid / ask |
|---|---|---|---|---|---|---|---|---|
| 00:07 | 0.440 | 0.440 | 0.440 | 0.440 | 2 | $87.69 | 1.00 ¢ | $114.04 / $13.1K |
| 00:17 | 0.440 | 0.450 | 0.450 | 0.450 | 2 | $52.57 | 1.00 ¢ | $112.06 / $22.1K |
| 00:27 | 0.450 | 0.440 | 0.440 | 0.440 | 1 | $1.43 | 1.00 ¢ | $111.85 / $17.5K |
| 01:14 | 0.440 | 0.450 | 0.450 | 0.450 | 1 | $111.86 | 1.00 ¢ | $110.63 / $5.5K |
| 01:16 | 0.450 | 0.450 | 0.450 | 0.450 | 1 | $1 | 2.00 ¢ | $104.88 / $5.5K |
| 01:21 | 0.450 | 0.430 | 0.430 | 0.430 | 1 | $0.76 | 2.00 ¢ | $115.82 / $5.5K |
| 01:22 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $1.08 | 2.00 ¢ | $112.99 / $5.5K |
| 01:42 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $0.76 | 2.00 ¢ | $112.36 / $5.5K |
| 01:57 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $26.19 | 1.66 ¢ | $67.72 / $3.6K |
| 02:37 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $3.77 | 1.00 ¢ | $405.64 / $420.36 |
| 02:51 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $1.51 | 1.00 ¢ | $501.66 / $520.08 |
| 03:07 | 0.430 | 0.440 | 0.440 | 0.440 | 1 | $199.68 | 1.00 ¢ | $784.75 / $702.12 |
| 03:09 | 0.440 | 0.430 | 0.430 | 0.430 | 1 | $0.76 | 1.32 ¢ | $530.51 / $7.0K |
| 03:11 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $1.91 | 1.00 ¢ | $199.9 / $1.17 |
| 03:21 | 0.430 | 0.449 | 0.449 | 0.449 | 1 | $19.97 | 1.14 ¢ | $256.3 / $3.0K |
| 03:52 | 0.449 | 0.430 | 0.430 | 0.430 | 1 | $0.76 | 1.06 ¢ | $787.53 / $2.2K |
| 03:53 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $1.51 | 1.13 ¢ | $737.13 / $3.7K |
| 03:56 | 0.430 | 0.430 | 0.430 | 0.430 | 3 | $22.6 | 1.01 ¢ | $749.38 / $981.99 |
| 04:00 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $0.76 | 1.03 ¢ | $629.32 / $990.76 |
| 04:16 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $0.76 | 1.06 ¢ | $600.45 / $1.1K |
| 04:28 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $9.04 | 1.05 ¢ | $514.15 / $985 |
| 04:49 | 0.430 | 0.440 | 0.440 | 0.440 | 2 | $8.12 | 1.00 ¢ | $353.67 / $564.62 |
| 04:53 | 0.440 | 0.430 | 0.430 | 0.430 | 1 | $41.53 | 1.00 ¢ | $377 / $579.76 |
| 04:54 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $7.54 | 1.00 ¢ | $281.19 / $472.57 |
| 04:59 | 0.430 | 0.440 | 0.440 | 0.440 | 1 | $1 | 1.00 ¢ | $228.54 / $583.11 |
| 05:03 | 0.440 | 0.440 | 0.440 | 0.440 | 1 | $3.81 | 1.00 ¢ | $399.61 / $593.49 |
| 05:05 | 0.440 | 0.430 | 0.430 | 0.430 | 1 | $0.76 | 1.00 ¢ | $541.76 / $730.84 |
| 05:08 | 0.430 | 0.430 | 0.430 | 0.430 | 1 | $0.76 | 1.00 ¢ | $556.47 / $752.94 |
| 05:13 | 0.430 | 0.440 | 0.440 | 0.440 | 1 | $1 | 1.00 ¢ | $534.41 / $554.1 |
| 05:26 | 0.440 | 0.422 | 0.422 | 0.422 | 1 | $114.88 | 1.00 ¢ | $408.93 / $1.6K |
| 05:34 | 0.422 | 0.440 | 0.440 | 0.440 | 1 | $1 | 1.00 ¢ | $135.86 / $1.3K |
| 05:39 | 0.440 | 0.440 | 0.440 | 0.440 | 1 | $9.99 | 1.00 ¢ | $547.74 / $1.5K |
| 05:41 | 0.440 | 0.430 | 0.430 | 0.430 | 1 | $4.08 | 1.00 ¢ | $29.28 / $1.2K |
| 05:44 | 0.430 | 0.440 | 0.440 | 0.440 | 1 | $1.01 | 2.00 ¢ | $188.56 / $1.4K |
| 05:47 | 0.440 | 0.440 | 0.440 | 0.440 | 1 | $1 | 1.81 ¢ | $166.51 / $1.2K |
| 05:57 | 0.440 | 0.420 | 0.420 | 0.420 | 1 | $15.79 | 1.55 ¢ | $455.74 / $1.7K |
| 05:59 | 0.420 | 0.430 | 0.430 | 0.430 | 1 | $7.54 | 1.00 ¢ | $640.41 / $1.9K |
| 06:03 | 0.430 | 0.420 | 0.420 | 0.420 | 1 | $144.62 | 1.00 ¢ | $615.34 / $712.76 |
| 06:04 | 0.420 | 0.420 | 0.420 | 0.420 | 1 | $36.16 | 1.00 ¢ | $605.23 / $711.99 |
| 06:07 | 0.420 | 0.430 | 0.430 | 0.430 | 1 | $1.51 | 1.00 ¢ | $628.1 / $711.39 |
| 06:20 | 0.430 | 0.410 | 0.410 | 0.410 | 1 | $20.82 | 3.00 ¢ | $295.52 / $233.51 |
| 06:48 | 0.410 | 0.410 | 0.410 | 0.410 | 1 | $3.68 | 3.00 ¢ | $190.06 / $211.78 |
| 06:49 | 0.410 | 0.410 | 0.410 | 0.410 | 1 | $49.11 | 3.00 ¢ | $179.72 / $211.78 |
| 06:52 | 0.410 | 0.410 | 0.410 | 0.410 | 1 | $0.91 | 3.00 ¢ | $174.8 / $211.78 |
| 06:54 | 0.410 | 0.410 | 0.410 | 0.410 | 1 | $0.7 | 3.00 ¢ | $174.19 / $211.78 |
| 06:58 | 0.410 | 0.410 | 0.410 | 0.410 | 4 | $70.73 | 3.70 ¢ | $104.72 / $1.2K |
| 07:02 | 0.410 | 0.430 | 0.430 | 0.430 | 1 | $29.96 | 1.00 ¢ | $125.83 / $233.57 |
| 07:12 | 0.430 | 0.450 | 0.430 | 0.430 | 3 | $12.95 | 1.90 ¢ | $126.23 / $347.38 |
| 07:19 | 0.430 | 0.490 | 0.490 | 0.490 | 2 | $1.28 | 1.00 ¢ | $343.48 / $1.5K |
| 07:22 | 0.490 | 0.420 | 0.370 | 0.390 | 5 | $88.96 | 1.01 ¢ | $858.14 / $908.62 |
| 07:25 | 0.390 | 0.330 | 0.320 | 0.330 | 2 | $28.5 | 1.18 ¢ | $523.08 / $872.04 |
| 07:26 | 0.330 | 0.320 | 0.320 | 0.320 | 1 | $23.5 | 1.00 ¢ | $587.69 / $925.55 |
| 07:28 | 0.320 | 0.300 | 0.300 | 0.300 | 1 | $49.94 | 1.01 ¢ | $689.54 / $681.02 |
| 07:29 | 0.300 | 0.290 | 0.290 | 0.290 | 1 | $0.41 | 1.13 ¢ | $573.26 / $621.68 |
| 07:30 | 0.290 | 0.330 | 0.290 | 0.300 | 10 | $785.69 | 1.26 ¢ | $599.76 / $683.48 |
| 07:31 | 0.300 | 0.310 | 0.270 | 0.270 | 4 | $68.83 | 1.05 ¢ | $613.95 / $727.76 |
| 07:33 | 0.270 | 0.270 | 0.270 | 0.270 | 1 | $9.99 | 1.00 ¢ | $958.39 / $487.17 |
| 07:35 | 0.270 | 0.300 | 0.300 | 0.300 | 1 | $1.27 | 1.00 ¢ | $588.92 / $890.03 |
| 07:36 | 0.300 | 0.320 | 0.320 | 0.320 | 1 | $2.04 | 1.00 ¢ | $600.63 / $916.98 |
| 07:37 | 0.320 | 0.300 | 0.300 | 0.300 | 1 | $4.29 | 1.22 ¢ | $631.37 / $664.93 |
| 07:38 | 0.300 | 0.300 | 0.270 | 0.270 | 7 | $882.97 | 1.28 ¢ | $524.83 / $865.9 |
| 07:39 | 0.270 | 0.280 | 0.280 | 0.280 | 3 | $501.32 | 1.21 ¢ | $515.38 / $651.66 |
| 07:40 | 0.280 | 0.320 | 0.320 | 0.320 | 1 | $0.94 | 1.11 ¢ | $684.12 / $684.65 |
| 07:41 | 0.320 | 0.310 | 0.310 | 0.310 | 1 | $1.07 | 1.09 ¢ | $544.6 / $1.1K |
| 07:42 | 0.310 | 0.290 | 0.290 | 0.290 | 2 | $31.18 | 1.00 ¢ | $605.32 / $1.1K |
| 07:43 | 0.290 | 0.300 | 0.290 | 0.300 | 3 | $9.17 | 1.00 ¢ | $716.64 / $646.54 |
| 07:45 | 0.300 | 0.300 | 0.300 | 0.300 | 1 | $18.62 | 1.00 ¢ | $713.02 / $658.81 |
| 07:46 | 0.300 | 0.250 | 0.240 | 0.250 | 3 | $515.1 | 1.07 ¢ | $609.64 / $500.22 |
| 07:47 | 0.250 | 0.270 | 0.240 | 0.250 | 6 | $431.63 | 1.07 ¢ | $597.8 / $533.61 |
| 07:49 | 0.250 | 0.320 | 0.320 | 0.320 | 1 | $0.54 | 1.10 ¢ | $558.77 / $1.1K |
| 07:50 | 0.320 | 0.330 | 0.330 | 0.330 | 1 | $0.5 | 1.00 ¢ | $585.86 / $1.5K |
| 07:52 | 0.330 | 0.420 | 0.390 | 0.390 | 2 | $129.43 | 1.41 ¢ | $789.61 / $1.1K |
| 07:53 | 0.390 | 0.340 | 0.340 | 0.340 | 1 | $0.52 | 1.30 ¢ | $396.16 / $978.45 |
| 07:54 | 0.340 | 0.290 | 0.290 | 0.290 | 1 | $8.81 | 1.26 ¢ | $478.04 / $683.18 |
| 07:57 | 0.290 | 0.310 | 0.310 | 0.310 | 1 | $9.99 | 1.02 ¢ | $741.69 / $609.84 |
| 08:03 | 0.310 | 0.240 | 0.240 | 0.240 | 6 | $1.4K | 1.01 ¢ | $527.83 / $649.58 |
| 08:04 | 0.240 | 0.240 | 0.240 | 0.240 | 5 | $790.93 | 1.00 ¢ | $621.99 / $120.57 |
| 08:05 | 0.240 | 0.265 | 0.249 | 0.265 | 4 | $2.2K | 1.87 ¢ | $921.37 / $451.23 |
| 08:06 | 0.265 | 0.220 | 0.210 | 0.220 | 31 | $8.0K | 1.26 ¢ | $1.2K / $1.3K |
| 08:07 | 0.220 | 0.280 | 0.220 | 0.280 | 7 | $1.1K | 1.41 ¢ | $752.01 / $508.74 |
| 08:08 | 0.280 | 0.300 | 0.290 | 0.300 | 5 | $376.07 | 1.26 ¢ | $754.22 / $523.63 |
| 08:10 | 0.300 | 0.340 | 0.340 | 0.340 | 1 | $1 | 1.48 ¢ | $841.85 / $639.56 |
| 08:11 | 0.340 | 0.300 | 0.300 | 0.300 | 1 | $0.86 | 1.34 ¢ | $377.1 / $657.48 |
| 08:14 | 0.300 | 0.260 | 0.240 | 0.240 | 6 | $975.72 | 1.02 ¢ | $215.94 / $702.97 |
| 08:16 | 0.240 | 0.220 | 0.220 | 0.220 | 1 | $365.08 | 1.06 ¢ | $715.75 / $638.18 |
| 08:18 | 0.220 | 0.280 | 0.280 | 0.280 | 2 | $192.57 | 1.17 ¢ | $827.7 / $509.19 |
| 08:20 | 0.280 | 0.280 | 0.280 | 0.280 | 3 | $271.68 | 1.06 ¢ | $603.51 / $543.07 |
| 08:21 | 0.280 | 0.290 | 0.290 | 0.290 | 1 | $0.81 | 1.19 ¢ | $670.35 / $546.13 |
| 08:22 | 0.290 | 0.320 | 0.320 | 0.320 | 2 | $24.5 | 1.29 ¢ | $647.86 / $719.24 |
| 08:23 | 0.320 | 0.250 | 0.250 | 0.250 | 1 | $34.2 | 1.08 ¢ | $674.66 / $607.87 |
| 08:25 | 0.250 | 0.220 | 0.220 | 0.220 | 1 | $1.17 | 1.12 ¢ | $623.9 / $506.1 |
| 08:27 | 0.220 | 0.250 | 0.240 | 0.250 | 2 | $269.14 | 1.14 ¢ | $586.38 / $657.2 |
| 08:28 | 0.250 | 0.240 | 0.240 | 0.240 | 1 | $0.32 | 1.09 ¢ | $696.01 / $603.92 |
| 08:31 | 0.240 | 0.380 | 0.380 | 0.380 | 1 | $29.93 | 1.67 ¢ | $1.0K / $675.88 |
| 08:32 | 0.380 | 0.400 | 0.340 | 0.400 | 2 | $83.9 | 1.21 ¢ | $712.84 / $1.0K |
| 08:34 | 0.400 | 0.430 | 0.420 | 0.420 | 6 | $213.27 | 1.14 ¢ | $924.11 / $937.13 |
| 08:36 | 0.420 | 0.440 | 0.440 | 0.440 | 1 | $49.93 | 1.22 ¢ | $723.16 / $1.3K |
| 08:37 | 0.440 | 0.470 | 0.470 | 0.470 | 2 | $48.38 | 1.06 ¢ | $1.3K / $912.9 |
| 08:38 | 0.470 | 0.480 | 0.480 | 0.480 | 1 | $1 | 1.00 ¢ | $1.0K / $1.8K |
| 08:39 | 0.480 | 0.480 | 0.480 | 0.480 | 2 | $11.79 | 1.02 ¢ | $1.0K / $1.3K |
| 08:40 | 0.480 | 0.520 | 0.510 | 0.520 | 2 | $37.55 | 1.23 ¢ | $867.91 / $1.1K |
| 08:41 | 0.520 | 0.560 | 0.550 | 0.560 | 3 | $245.1 | 1.11 ¢ | $1.2K / $1.9K |
| 08:42 | 0.560 | 0.560 | 0.550 | 0.560 | 5 | $532.75 | 1.00 ¢ | $1.0K / $2.2K |
| 08:43 | 0.560 | 0.560 | 0.560 | 0.560 | 3 | $11.33 | 1.00 ¢ | $914.36 / $2.4K |
| 08:45 | 0.560 | 0.510 | 0.500 | 0.510 | 2 | $30.17 | 1.01 ¢ | $843.4 / $2.0K |
| 08:46 | 0.510 | 0.490 | 0.440 | 0.440 | 2 | $51.23 | 1.90 ¢ | $951.26 / $917.09 |
| 08:49 | 0.440 | 0.650 | 0.640 | 0.650 | 5 | $345.67 | 1.20 ¢ | $1.2K / $2.6K |
| 08:50 | 0.650 | 0.740 | 0.740 | 0.740 | 1 | $36.22 | 1.60 ¢ | $1.4K / $1.3K |
| 08:51 | 0.740 | 0.820 | 0.750 | 0.820 | 6 | $201.74 | 1.32 ¢ | $1.6K / $2.2K |
| 08:52 | 0.820 | 0.840 | 0.800 | 0.830 | 10 | $325.29 | 1.21 ¢ | $1.7K / $2.2K |
| 08:53 | 0.830 | 0.850 | 0.830 | 0.850 | 2 | $1.0K | 1.26 ¢ | $1.8K / $1.7K |
| 08:54 | 0.850 | 0.880 | 0.880 | 0.880 | 1 | $47.85 | 1.38 ¢ | $2.1K / $1.7K |
| 08:55 | 0.880 | 0.860 | 0.860 | 0.860 | 2 | $772.96 | 1.14 ¢ | $1.8K / $2.0K |
| 08:56 | 0.860 | 0.860 | 0.800 | 0.860 | 8 | $3.5K | 1.40 ¢ | $2.0K / $1.9K |
| 08:57 | 0.860 | 0.890 | 0.880 | 0.890 | 3 | $250.47 | 1.00 ¢ | $2.5K / $1.9K |
| 08:58 | 0.890 | 0.870 | 0.870 | 0.870 | 1 | $33.43 | 1.08 ¢ | $2.0K / $2.3K |
| 09:00 | 0.870 | 0.900 | 0.900 | 0.900 | 1 | $146.57 | 1.21 ¢ | $2.1K / $1.8K |
| 09:01 | 0.900 | 0.870 | 0.850 | 0.870 | 51 | $30.3K | 1.01 ¢ | $5.2K / $2.7K |
| 09:02 | 0.870 | 0.870 | 0.870 | 0.870 | 16 | $3.2K | 1.43 ¢ | $2.6K / $3.1K |
| 09:03 | 0.870 | 0.920 | 0.900 | 0.920 | 7 | $32.3K | 2.05 ¢ | $13.1K / $2.9K |
First 120 of 135 active minutes. 1-minute statistics computed from the recorded ticks; minutes without a trade are omitted. Spread in contract price cents; top-1 depth = resting notional at the best bid / best ask. Every minute of every day is in the free analytics; the raw ticks are in the sample file above.
Build a WTA Tennis (matches & props) model on this data
Every settled WTA Tennis (matches & props) 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 predict.fun 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 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 (2 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 — 17 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 8 WTA Tennis (matches & props) contracts had at least one trade per UTC day over the last 17 captured days on predict.fun, with about 203.3K 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 17 captured days, the turnover-weighted quoted bid-ask spread was 1.40 ¢ (contracts quote 0..1 = 100 ¢), the mean best-bid/best-ask notional was about $3.6K per side, 48 % 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 2026-10-25?
wta-rybakin-fernand-2026-10-25_ningbo-open-elena-rybakin_3761668 (RYBAKIN vs FERNAND · 2026-10-25) — $120.9K USD turnover over 384 trades on predict.fun. The 2 most traded contracts of the series did 612 trades and $133.2K 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?
2026-10-14, with $305.6K of USD turnover over 3,120 trades across every WTA Tennis (matches & props) contract of the day; the busiest full month was Oct 2026 at $1.6M. Since our statistics began on 2026-10-09 the series has recorded 13,600 trades and $1.6M over 17 captured days; the single biggest contract was wta-fernand-alexand-2026-10-22_ningbo-open-leylah-fernan_3641808 (FERNAND vs ALEXAND · 2026-10-22) on 2026-10-23 with $127.9K. Any of these days is a downloadable bundle.
When do WTA Tennis (matches & props) contracts settle?
Contracts listed to settle between 11:00 and 11:59 UTC carried 30 % of the USD turnover of the most traded WTA Tennis (matches & props) contracts per day over the newest 30 captured days on predict.fun. 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 the WTA Tennis (matches & props) series include?
As of 2026-11-03 the WTA Tennis (matches & props) family on predict.fun had listed 102 contracts: moneyline / winner 21 · player & team props 1 · other 80. All of them are in that day's bundle — the market type is read from each contract's venue identifier, counted over every contract of the family, not from the traded top-10.
Which weekday does predict.fun WTA Tennis (matches & props) trade most?
Wednesdays — about $231.4K of USD turnover per Wednesday and 29 % of the series' turnover over the 17 captured days to 2026-10-25 on predict.fun, 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 WTA Tennis (matches & props) turnover trades on game day?
99 % — across 53 settled WTA Tennis (matches & props) contracts between 2026-10-09 and 2026-10-25 on predict.fun, 99 % of their USD turnover printed on the UTC day the contract settled and 1 % 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 WTA Tennis (matches & props) contracts trade?
A median of 1 captured trading day per contract, settlement day included (a quarter traded 2 days or more) — across 53 settled WTA Tennis (matches & props) contracts to 2026-10-25 on predict.fun, counting the UTC days a contract ranked among the series' most traded. Buy those days as a range (/shop/bundles?bundle=predictfun-wta&d=<from>..<to>) to get the whole pre-event path of each contract.