Polymarket WTA Tennis (matches & props) Data
Every Polymarket “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. 344 trading days as day bundles, €1 per day, bought as a guest with instant download.
WTA Tennis (matches & props) on Polymarket — activity
Trades and USD turnover summed over every contract of the series across 30 captured days to 2026-10-16, 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 Polymarket on that UTC day — traded or not — 1,058 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 August 2025 – present — 344 trading days, 65.5 GB compressed in total. A day typically holds 629 contract files (up to 2,171 on the busiest day, 1.14 GB). 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
1,116,431 trades and $195.6M of USD turnover over 101 captured days since 2026-07-08 — record day 2026-10-14 with $5.2M, biggest single contract ARYNA-SABALENKA-v-LINDA-NOSKOVA-wta-sabalen-noskova-2026-09-08 (2026-09-08, $1.9M).
| Month | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|
| Oct 2026 (month to date) | 16 | 237,011 | $40.4M | $2.5M | 3,726 | 113.8M | — |
| Sep 2026 | 30 | 412,420 | $81.8M | $2.7M | 6,759 | 229.4M | +12.3 % |
| Aug 2026 | 31 | 457,237 | $72.8M | $2.3M | 4,307 | 203.5M | +12861.1 % |
| Jul 2026 | 24 | 9,763 | $561.8K | $23.4K | — | — | — |
Polymarket 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
Wednesdays carry the most turnover, about $3.4M per day.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $2.5M | 17.5K | 4 | |
| Tuesday | $3.0M | 18.6K | 4 | |
| Wednesday | $3.4M | 18.2K | 4 | |
| Thursday | $2.3M | 14.1K | 5 | |
| Friday | $2.5M | 14.5K | 5 | |
| Saturday | $2.6M | 13.1K | 4 | |
| Sunday | $1.2M | 7.5K | 4 |
Polymarket 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 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 day | Files | Size | Traded | Trades | Turnover | Buy share | Avg spread | Top-1 depth | L2 updates | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-16 | 1,058 | 162 MB | 174 | 14,783 | $2.7M | 47 % | 2.21 ¢ | $18.3K | 5.9M | Buy day → | |
| 2026-10-15 | 972 | 197 MB | 199 | 20,802 | $3.3M | 49 % | 1.43 ¢ | $14.2K | 6.9M | Buy day → | |
| 2026-10-14 | 1,347 | 302 MB | 287 | 27,222 | $5.2M | 49 % | 1.18 ¢ | $21.0K | 11.2M | Buy day → | |
| 2026-10-13 | 1,926 | 359 MB | 408 | 24,639 | $3.2M | 53 % | 3.35 ¢ | $12.8K | 13.3M | Buy day → | |
| 2026-10-12 | 1,671 | 269 MB | 409 | 17,330 | $2.8M | 45 % | 2.90 ¢ | $15.0K | 9.9M | Buy day → | |
| 2026-10-11 | 1,591 | 145 MB | 226 | 9,046 | $1.6M | 46 % | 5.54 ¢ | $19.4K | 5.2M | Buy day → | |
| 2026-10-10 | 1,157 | 227 MB | 230 | 11,067 | $2.1M | 48 % | 2.27 ¢ | $15.5K | 8.5M | Buy day → | |
| 2026-10-09 | 675 | 119 MB | 147 | 8,350 | $1.3M | 47 % | 6.16 ¢ | $35.8K | 4.4M | Buy day → | |
| 2026-10-08 | 597 | 92.0 MB | 122 | 7,154 | $839.7K | 54 % | 7.67 ¢ | $13.5K | 3.4M | Buy day → | |
| 2026-10-07 | 874 | 134 MB | 159 | 12,456 | $1.8M | 44 % | 3.80 ¢ | $9.7K | 4.9M | Buy day → | |
| 2026-10-06 | 1,142 | 194 MB | 237 | 12,384 | $2.0M | 45 % | 4.73 ¢ | $12.4K | 7.2M | Buy day → | |
| 2026-10-05 | 1,237 | 139 MB | 233 | 12,150 | $2.1M | 45 % | 4.21 ¢ | $13.8K | 5.0M | Buy day → | |
| 2026-10-04 | 1,256 | 114 MB | 166 | 10,254 | $1.8M | 48 % | 4.46 ¢ | $27.7K | 4.1M | Buy day → | |
| 2026-10-03 | 940 | 230 MB | 201 | 19,871 | $4.2M | 45 % | 2.09 ¢ | $19.0K | 8.5M | Buy day → | |
| 2026-10-02 | 1,214 | 244 MB | 260 | 18,135 | $3.2M | 48 % | 3.57 ¢ | $13.8K | 9.1M | Buy day → | |
| 2026-10-01 | 1,162 | 185 MB | 268 | 11,368 | $2.4M | 53 % | 6.55 ¢ | $17.1K | 6.4M | Buy day → | |
| 2026-09-30 | 1,365 | 251 MB | 305 | 19,261 | $4.5M | 41 % | 4.28 ¢ | $20.6K | 8.5M | Buy day → | |
| 2026-09-29 | 1,616 | 232 MB | 306 | 13,703 | $2.4M | 42 % | 3.59 ¢ | $14.1K | 6.9M | Buy day → | |
| 2026-09-28 | 1,827 | 257 MB | 302 | 15,313 | $1.8M | 54 % | 13.2 ¢ | $11.3K | 9.3M | Buy day → | |
| 2026-09-27 | 1,331 | 60.6 MB | 150 | 4,072 | $855.8K | 45 % | 8.01 ¢ | $10.4K | 2.1M | Buy day → | |
| 2026-09-26 | 450 | 82.4 MB | 117 | 7,485 | $1.8M | 45 % | 7.86 ¢ | $9.0K | 3.0M | Buy day → | |
| 2026-09-25 | 710 | 145 MB | 217 | 14,198 | $2.1M | 51 % | 5.92 ¢ | $5.5K | 5.3M | Buy day → | |
| 2026-09-24 | 1,147 | 182 MB | 220 | 15,722 | $2.8M | 44 % | 4.84 ¢ | $20.7K | 6.6M | Buy day → | |
| 2026-09-23 | 1,537 | 174 MB | 251 | 13,853 | $2.0M | 54 % | 4.91 ¢ | $8.7K | 6.3M | Buy day → | |
| 2026-09-22 | 2,073 | 366 MB | 405 | 23,540 | $4.5M | 49 % | 3.29 ¢ | $10.0K | 13.5M | Buy day → | |
| 2026-09-21 | 2,068 | 329 MB | 380 | 25,144 | $3.3M | 47 % | 3.98 ¢ | $16.6K | 12.0M | Buy day → | |
| 2026-09-20 | 1,819 | 162 MB | 182 | 6,785 | $760.4K | 40 % | 6.72 ¢ | $10.3K | 5.9M | Buy day → | |
| 2026-09-19 | 1,283 | 199 MB | 234 | 13,977 | $2.3M | 49 % | 5.80 ¢ | $12.2K | 7.3M | Buy day → | |
| 2026-09-18 | 977 | 206 MB | 354 | 16,969 | $3.3M | 47 % | 2.57 ¢ | $6.9K | 7.6M | Buy day → | |
| 2026-09-17 | 985 | 194 MB | 189 | 15,371 | $2.5M | 46 % | 2.53 ¢ | $10.6K | 7.1M | 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 2026-10-16 — 7 closed Yes (≥ 0.97), 3 closed No (≤ 0.03): 10,271 trades, $2.3M USD turnover. The busiest contract was wta-svitoli-kartal-2026-10-16 with $738.1K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-svitoli-kartal-2026-10-16 | 0.670 | 0.770 | 0.001 | 0.001 | 0.492 | No | 2,498 | $738.1K | 47 % | buy file → |
| wta-chwalin-sakkari-2026-10-15 | 0.460 | 0.999 | 0.360 | 0.999 | 0.613 | Yes | 2,351 | $564.1K | 42 % | buy file → |
| wta-shnaide-ostapen-2026-10-15 | 0.680 | 0.860 | 0.001 | 0.001 | 0.424 | No | 1,391 | $438.7K | 50 % | buy file → |
| wta-andrees-stefani-2026-10-16 | 0.600 | 0.999 | 0.540 | 0.999 | 0.773 | Yes | 698 | $146.8K | 52 % | buy file → |
| wta-maneiro-hercog-2026-10-16 | 0.790 | 0.999 | 0.400 | 0.999 | 0.721 | Yes | 711 | $113.1K | 49 % | buy file → |
| wta-salkova-boskovi-2026-10-16 | 0.610 | 0.999 | 0.380 | 0.999 | 0.683 | Yes | 728 | $108.7K | 51 % | buy file → |
| wta-annli-swiatek-2026-10-16 | 0.190 | 0.270 | 0.001 | 0.001 | 0.128 | No | 731 | $67.7K | 61 % | buy file → |
| wta-galfi-jones-2026-10-16 | 0.430 | 0.999 | 0.350 | 0.999 | 0.725 | Yes | 498 | $61.0K | 36 % | buy file → |
| wta-havlick-teichma-2026-10-16 | 0.580 | 0.999 | 0.520 | 0.999 | 0.761 | Yes | 330 | $58.8K | 48 % | buy file → |
| wta-burel-marista-2026-10-16 | 0.700 | 0.999 | 0.470 | 0.999 | 0.858 | Yes | 335 | $43.3K | 39 % | 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.
2026-10-15 — 10 contracts, 14,759 trades, $2.9M turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-15 — 5 closed Yes (≥ 0.97), 5 closed No (≤ 0.03): 14,759 trades, $2.9M USD turnover. The busiest contract was wta-annli-tjen-2026-10-15 with $452.3K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-annli-tjen-2026-10-15 | 0.640 | 0.999 | 0.630 | 0.999 | 0.826 | Yes | 1,243 | $452.3K | 41 % | buy file → |
| wta-svitoli-guo-2026-10-15 | 0.890 | 0.999 | 0.840 | 0.999 | 0.936 | Yes | 890 | $434.1K | 48 % | buy file → |
| wta-fernand-ostapen-2026-10-15 | 0.540 | 0.730 | 0.001 | 0.001 | 0.380 | No | 1,847 | $343.1K | 49 % | buy file → |
| wta-muchova-shnaide-2026-10-14 | 0.490 | 0.690 | 0.001 | 0.001 | 0.383 | No | 1,576 | $329.7K | 34 % | buy file → |
| wta-jovic-chwalin-2026-10-14 | 0.730 | 0.820 | 0.001 | 0.001 | 0.444 | No | 1,536 | $269.8K | 64 % | buy file → |
| wta-ruzic-andrees-2026-10-15 | 0.370 | 0.850 | 0.001 | 0.001 | 0.410 | No | 2,359 | $251.4K | 49 % | buy file → |
| wta-garcia-brancac-2026-10-14 | 0.600 | 0.999 | 0.210 | 0.999 | 0.503 | Yes | 1,218 | $244.9K | 54 % | buy file → |
| wta-galfi-jorg-2026-10-14 | 0.790 | 0.999 | 0.070 | 0.999 | 0.509 | Yes | 2,364 | $233.1K | 51 % | buy file → |
| wta-paolini-kartal-2026-10-14 | 0.540 | 0.650 | 0.001 | 0.001 | 0.352 | No | 1,082 | $174.7K | 64 % | buy file → |
| wta-salkova-hruncak-2026-10-15 | 0.570 | 0.999 | 0.200 | 0.999 | 0.706 | Yes | 644 | $167.8K | 49 % | buy file → |
2026-10-14 — 10 contracts, 17,387 trades, $4.1M turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-14 — 8 closed Yes (≥ 0.97), 2 closed No (≤ 0.03): 17,387 trades, $4.1M USD turnover. The busiest contract was wta-sabalen-annli-2026-10-14 with $902.0K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-sabalen-annli-2026-10-14 | 0.850 | 0.990 | 0.001 | 0.001 | 0.506 | No | 3,272 | $902.0K | 40 % | buy file → |
| wta-volynet-guo-2026-10-13 | 0.800 | 0.900 | 0.001 | 0.001 | 0.514 | No | 2,656 | $631.1K | 60 % | buy file → |
| wta-maneiro-escorih-2026-10-14 | 0.810 | 0.999 | 0.100 | 0.999 | 0.600 | Yes | 998 | $448.2K | 50 % | buy file → |
| wta-muchova-mcnally-2026-10-13 | 0.800 | 0.999 | 0.240 | 0.999 | 0.617 | Yes | 2,049 | $412.6K | 50 % | buy file → |
| wta-krueger-tararud-2026-10-14 | 0.570 | 0.999 | 0.170 | 0.999 | 0.529 | Yes | 1,151 | $405.3K | 43 % | buy file → |
| wta-ostapen-pegula-2026-10-13 | 0.310 | 0.999 | 0.020 | 0.999 | 0.380 | Yes | 1,800 | $378.3K | 46 % | buy file → |
| wta-kartal-bencic-2026-10-13 | 0.330 | 0.999 | 0.300 | 0.999 | 0.701 | Yes | 1,425 | $264.0K | 52 % | buy file → |
| wta-tjen-snigur-2026-10-13 | 0.390 | 0.999 | 0.230 | 0.999 | 0.673 | Yes | 2,328 | $244.4K | 63 % | buy file → |
| wta-grabher-encheva-2026-10-14 | 0.760 | 0.999 | 0.240 | 0.999 | 0.613 | Yes | 778 | $232.8K | 52 % | buy file → |
| wta-paolini-bartunk-2026-10-13 | 0.440 | 0.999 | 0.190 | 0.999 | 0.654 | Yes | 930 | $161.6K | 54 % | buy file → |
2026-10-13 — 10 contracts, 11,688 trades, $2.2M turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-13 — 8 closed Yes (≥ 0.97), 2 closed No (≤ 0.03): 11,688 trades, $2.2M USD turnover. The busiest contract was wta-pohanko-wan-2026-10-13 with $654.7K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-pohanko-wan-2026-10-13 | 0.330 | 0.999 | 0.170 | 0.999 | 0.576 | Yes | 2,180 | $654.7K | 52 % | buy file → |
| wta-sakkari-kostyuk-2026-10-13 | 0.350 | 0.999 | 0.150 | 0.999 | 0.651 | Yes | 1,137 | $278.8K | 50 % | buy file → |
| wta-yastrem-bucsa-2026-10-11 | 0.550 | 0.999 | 0.280 | 0.999 | 0.719 | Yes | 1,047 | $278.1K | 48 % | buy file → |
| wta-putints-sonmez-2026-10-12 | 0.570 | 0.999 | 0.200 | 0.999 | 0.611 | Yes | 1,357 | $200.2K | 41 % | buy file → |
| wta-annli-osorio-2026-10-13 | 0.580 | 0.999 | 0.570 | 0.999 | 0.862 | Yes | 366 | $168.6K | 79 % | buy file → |
| wta-birrell-volynet-2026-10-12 | 0.370 | 0.960 | 0.001 | 0.001 | 0.418 | No | 1,575 | $165.9K | 52 % | buy file → |
| wta-snigur-mertens-2026-10-11 | 0.330 | 0.999 | 0.300 | 0.999 | 0.585 | Yes | 1,067 | $139.6K | 42 % | buy file → |
| wta-guo-cirstea-2026-10-11 | 0.120 | 0.999 | 0.002 | 0.999 | 0.272 | Yes | 1,717 | $129.8K | 54 % | buy file → |
| wta-mair-stefani-2026-10-12 | 0.080 | 0.560 | 0.001 | 0.001 | 0.319 | No | 741 | $92.4K | 40 % | buy file → |
| wta-krueger-zhang-2026-10-13 | 0.570 | 0.999 | 0.380 | 0.999 | 0.753 | Yes | 501 | $89.8K | 57 % | buy file → |
2026-10-12 — 10 contracts, 8,083 trades, $2.0M turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-12 — 6 closed Yes (≥ 0.97), 2 closed No (≤ 0.03), 2 still open at the last print: 8,083 trades, $2.0M USD turnover. The busiest contract was wta-paolini-bejlek-2026-10-11 with $403.6K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-paolini-bejlek-2026-10-11 | 0.470 | 0.999 | 0.460 | 0.999 | 0.747 | Yes | 1,041 | $403.6K | 35 % | buy file → |
| wta-eala-shi-2026-10-12 | 0.790 | 0.960 | 0.001 | 0.001 | 0.449 | No | 1,812 | $382.6K | 49 % | buy file → |
| wta-alexand-fernand-2026-10-11 | 0.540 | 0.690 | 0.001 | 0.001 | 0.364 | No | 1,302 | $206.4K | 48 % | buy file → |
| wta-tjen-ito-2026-10-12 | 0.730 | 0.999 | 0.570 | 0.999 | 0.907 | Yes | 404 | $192.3K | 27 % | buy file → |
| wta-jovic-pohanko-2026-10-11 | 0.840 | 0.850 | 0.500 | 0.510 | 0.665 | open | 171 | $182.5K | 37 % | buy file → |
| wta-mcnally-starodu-2026-10-12 | 0.620 | 0.999 | 0.130 | 0.999 | 0.482 | Yes | 1,357 | $167.4K | 46 % | buy file → |
| wta-kalinsk-zhang-2026-10-11 | 0.690 | 0.720 | 0.500 | 0.510 | 0.588 | open | 181 | $152.3K | 4 % | buy file → |
| wta-grabher-chiesa-2026-10-12 | 0.750 | 0.999 | 0.350 | 0.999 | 0.650 | Yes | 784 | $130.8K | 58 % | buy file → |
| wta-sakkari-vekic-2026-10-11 | 0.610 | 0.999 | 0.460 | 0.999 | 0.732 | Yes | 578 | $109.9K | 59 % | buy file → |
| wta-gormaz-rame-2026-10-12 | 0.690 | 0.999 | 0.280 | 0.999 | 0.717 | Yes | 453 | $92.0K | 61 % | buy file → |
2026-10-11 — 10 contracts, 5,847 trades, $1.3M turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-11 — 6 closed Yes (≥ 0.97), 4 closed No (≤ 0.03): 5,847 trades, $1.3M USD turnover. The busiest contract was wta-zhen-andreev-2026-10-11 with $586.8K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-zhen-andreev-2026-10-11 | 0.380 | 0.999 | 0.200 | 0.999 | 0.661 | Yes | 1,633 | $586.8K | 50 % | buy file → |
| wta-putints-krueger-2026-10-10 | 0.510 | 0.999 | 0.490 | 0.999 | 0.820 | Yes | 351 | $162.1K | 68 % | buy file → |
| wta-shi-rakhimo-2026-10-10 | 0.270 | 0.999 | 0.100 | 0.999 | 0.529 | Yes | 485 | $127.1K | 37 % | buy file → |
| wta-tormo-kasatki-2026-10-10 | 0.370 | 0.780 | 0.001 | 0.001 | 0.373 | No | 567 | $104.6K | 33 % | buy file → |
| wta-sramkov-okamura-2026-10-11 | 0.730 | 0.999 | 0.720 | 0.999 | 0.901 | Yes | 307 | $79.6K | 45 % | buy file → |
| wta-sonmez-kraus-2026-10-10 | 0.600 | 0.999 | 0.430 | 0.999 | 0.817 | Yes | 279 | $79.4K | 19 % | buy file → |
| wta-aksu-stefani-2026-10-11 | 0.250 | 0.999 | 0.200 | 0.999 | 0.590 | Yes | 654 | $60.8K | 47 % | buy file → |
| wta-osorio-volynet-2026-10-11 | 0.420 | 0.860 | 0.001 | 0.001 | 0.403 | No | 490 | $46.5K | 38 % | buy file → |
| wta-frech-ito-2026-10-10 | 0.740 | 0.900 | 0.001 | 0.001 | 0.434 | No | 445 | $45.5K | 65 % | buy file → |
| wta-tararud-mcnally-2026-10-11 | 0.470 | 0.780 | 0.001 | 0.001 | 0.237 | No | 636 | $41.0K | 26 % | buy file → |
2026-10-10 — 10 contracts, 5,977 trades, $1.7M turnover
The 10 most traded WTA Tennis (matches & props) contracts on 2026-10-10 — 9 closed Yes (≥ 0.97), 1 closed No (≤ 0.03): 5,977 trades, $1.7M USD turnover. The busiest contract was wta-zhen-mertens-2026-10-10 with $525.5K turnover.
| Contract | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | |
|---|---|---|---|---|---|---|---|---|---|---|
| wta-zhen-mertens-2026-10-10 | 0.570 | 0.999 | 0.550 | 0.999 | 0.785 | Yes | 1,128 | $525.5K | 53 % | buy file → |
| wta-andreev-bartunk-2026-10-09 | 0.700 | 0.999 | 0.660 | 0.999 | 0.854 | Yes | 561 | $275.3K | 58 % | buy file → |
| wta-stefani-blinkov-2026-10-10 | 0.340 | 0.999 | 0.300 | 0.999 | 0.782 | Yes | 459 | $158.1K | 32 % | buy file → |
| wta-okamura-kalieva-2026-10-09 | 0.320 | 0.999 | 0.320 | 0.999 | 0.792 | Yes | 379 | $123.9K | 21 % | buy file → |
| wta-bondar-boisson-2026-10-10 | 0.470 | 0.999 | 0.320 | 0.999 | 0.715 | Yes | 450 | $123.8K | 65 % | buy file → |
| wta-sawangk-joint-2026-10-10 | 0.380 | 0.999 | 0.140 | 0.999 | 0.603 | Yes | 714 | $121.3K | 48 % | buy file → |
| wta-kasatki-golubic-2026-10-09 | 0.500 | 0.999 | 0.060 | 0.999 | 0.484 | Yes | 814 | $114.6K | 54 % | buy file → |
| wta-tararud-liu-2026-10-10 | 0.520 | 0.999 | 0.270 | 0.999 | 0.578 | Yes | 577 | $88.3K | 61 % | buy file → |
| wta-stearns-shi-2026-10-10 | 0.760 | 0.983 | 0.001 | 0.001 | 0.457 | No | 505 | $61.5K | 51 % | buy file → |
| wta-kraus-linette-2026-10-10 | 0.470 | 0.999 | 0.350 | 0.999 | 0.718 | Yes | 390 | $58.4K | 40 % | buy file → |
How a WTA Tennis (matches & props) contract trades
On Polymarket, a WTA Tennis (matches & props) contract trades for about 22 h from open to close, and quotes in 0.1 ¢ price steps (0..1). Measured on the 10 contracts captured on 2026-10-16.
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-zhen-mertens-2026-10-10 minute by minute — 2026-10-10
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-zhen-mertens-2026-10-10 traded in 228 of the day’s minutes (00:25–13:03 UTC): 1,128 trades, $525.5K turnover, opening at 0.570, ranging 0.550–0.999 and closing at 0.999.
| Minute (UTC) | Open | High | Low | Close | Trades | Turnover | Spread | Top-1 bid / ask |
|---|---|---|---|---|---|---|---|---|
| 00:25 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $3.01 | 1.00 ¢ | $4.1K / $6.1K |
| 00:33 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $1.01 | 1.00 ¢ | $4.1K / $6.1K |
| 00:45 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $35.03 | 1.00 ¢ | $4.0K / $6.3K |
| 00:47 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $5.71 | 1.00 ¢ | $4.0K / $6.3K |
| 00:50 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $86.52 | 1.00 ¢ | $4.0K / $6.2K |
| 01:10 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $100.08 | 1.00 ¢ | $4.0K / $6.2K |
| 01:15 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $100.08 | 1.00 ¢ | $4.0K / $6.1K |
| 01:37 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $54.33 | 1.00 ¢ | $4.0K / $6.0K |
| 02:39 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $1.51 | 1.00 ¢ | $4.1K / $5.8K |
| 03:31 | 0.570 | 0.570 | 0.560 | 0.560 | 2 | $4.6K | 1.00 ¢ | $14.2K / $3.6K |
| 03:34 | 0.560 | 0.570 | 0.570 | 0.570 | 1 | $20.02 | 1.00 ¢ | $14.2K / $3.2K |
| 03:38 | 0.570 | 0.560 | 0.560 | 0.560 | 1 | $8.92 | 1.00 ¢ | $14.2K / $3.2K |
| 03:46 | 0.560 | 0.560 | 0.560 | 0.560 | 1 | $1.28 | 1.00 ¢ | $14.2K / $3.2K |
| 04:08 | 0.560 | 0.570 | 0.570 | 0.570 | 1 | $198.43 | 1.00 ¢ | $8.6K / $3.0K |
| 04:10 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $1.21 | 1.00 ¢ | $8.6K / $3.0K |
| 04:18 | 0.570 | 0.570 | 0.570 | 0.570 | 2 | $3.0K | 1.00 ¢ | $10.3K / $4.3K |
| 04:30 | 0.570 | 0.580 | 0.580 | 0.580 | 1 | $20.02 | 1.00 ¢ | $11.1K / $3.3K |
| 04:32 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $10.01 | 1.00 ¢ | $12.0K / $3.3K |
| 05:13 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $30.03 | 1.00 ¢ | $10.7K / $8.0K |
| 05:17 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $1.01 | 1.00 ¢ | $10.9K / $8.0K |
| 05:22 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $306.48 | 1.00 ¢ | $10.9K / $7.9K |
| 05:57 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $2.01 | 1.00 ¢ | $10.9K / $8.0K |
| 06:01 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $30.03 | 1.00 ¢ | $11.0K / $8.0K |
| 06:10 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $9.81 | 1.00 ¢ | $10.8K / $7.3K |
| 06:15 | 0.580 | 0.570 | 0.570 | 0.570 | 1 | $132.92 | 1.00 ¢ | $10.9K / $7.3K |
| 06:18 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $1.8 | 1.00 ¢ | $10.9K / $7.3K |
| 06:39 | 0.570 | 0.570 | 0.570 | 0.570 | 1 | $17.12 | 1.00 ¢ | $10.9K / $3.4K |
| 07:02 | 0.570 | 0.580 | 0.570 | 0.580 | 2 | $324.71 | 1.00 ¢ | $11.5K / $3.4K |
| 07:05 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $2.6K | 1.00 ¢ | $11.5K / $3.1K |
| 07:08 | 0.580 | 0.570 | 0.570 | 0.570 | 1 | $1.33 | 1.00 ¢ | $11.5K / $2.3K |
| 07:24 | 0.570 | 0.580 | 0.580 | 0.580 | 2 | $2.1K | 1.00 ¢ | $5.1K / $16.2K |
| 07:26 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $19.49 | 1.00 ¢ | $2.4K / $21.2K |
| 07:36 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $6.03 | 1.00 ¢ | $2.4K / $21.9K |
| 07:40 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $5.01 | 1.00 ¢ | $2.9K / $21.9K |
| 07:47 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $515.42 | 1.00 ¢ | $3.1K / $21.7K |
| 07:51 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $19.06 | 1.00 ¢ | $3.3K / $20.5K |
| 07:59 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $25.03 | 1.00 ¢ | $3.3K / $21.3K |
| 08:08 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $28.82 | 1.00 ¢ | $3.4K / $23.0K |
| 08:11 | 0.590 | 0.590 | 0.580 | 0.580 | 2 | $652.94 | 1.00 ¢ | $3.2K / $22.9K |
| 08:15 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $95.31 | 1.00 ¢ | $2.8K / $22.8K |
| 08:17 | 0.590 | 0.580 | 0.580 | 0.580 | 1 | $13.83 | 1.00 ¢ | $2.8K / $22.7K |
| 08:18 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $1.39 | 1.00 ¢ | $2.8K / $22.7K |
| 08:23 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $0.71 | 1.00 ¢ | $2.8K / $22.7K |
| 08:25 | 0.590 | 0.580 | 0.580 | 0.580 | 1 | $1.39 | 1.00 ¢ | $2.8K / $22.7K |
| 08:26 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $551.46 | 1.00 ¢ | $2.7K / $22.9K |
| 08:27 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $1.39 | 1.00 ¢ | $2.3K / $22.7K |
| 08:29 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $13.83 | 1.00 ¢ | $2.3K / $22.5K |
| 08:33 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $2.01 | 1.00 ¢ | $2.3K / $22.6K |
| 08:35 | 0.590 | 0.580 | 0.580 | 0.580 | 2 | $68.72 | 1.00 ¢ | $2.3K / $22.7K |
| 08:40 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $20.74 | 1.00 ¢ | $3.2K / $22.6K |
| 08:45 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $20.02 | 1.00 ¢ | $3.2K / $22.2K |
| 08:46 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $13.02 | 1.00 ¢ | $3.3K / $22.1K |
| 08:51 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $450.38 | 1.00 ¢ | $3.4K / $21.9K |
| 08:58 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $120.1 | 1.00 ¢ | $3.7K / $21.5K |
| 08:59 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $9.53 | 1.00 ¢ | $3.8K / $21.3K |
| 09:02 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $50.05 | 1.00 ¢ | $3.8K / $21.6K |
| 09:06 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $3.28 | 1.00 ¢ | $3.8K / $21.5K |
| 09:16 | 0.590 | 0.580 | 0.580 | 0.580 | 1 | $882.11 | 1.00 ¢ | $3.7K / $23.0K |
| 09:17 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $4.32 | 1.00 ¢ | $2.9K / $24.0K |
| 09:18 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $15.02 | 1.00 ¢ | $2.9K / $21.3K |
| 09:20 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $10.01 | 1.00 ¢ | $3.0K / $20.6K |
| 09:21 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $1.01 | 1.00 ¢ | $3.0K / $20.5K |
| 09:22 | 0.590 | 0.590 | 0.590 | 0.590 | 2 | $1.0K | 1.00 ¢ | $3.0K / $20.4K |
| 09:26 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $6.03 | 1.00 ¢ | $3.0K / $23.5K |
| 09:27 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $700.57 | 1.00 ¢ | $3.0K / $23.0K |
| 09:32 | 0.590 | 0.590 | 0.590 | 0.590 | 2 | $28.37 | 1.00 ¢ | $3.0K / $24.9K |
| 09:33 | 0.590 | 0.590 | 0.590 | 0.590 | 2 | $109.09 | 1.00 ¢ | $3.0K / $25.1K |
| 09:37 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $118.1 | 1.00 ¢ | $2.9K / $25.4K |
| 09:38 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $1.01 | 1.00 ¢ | $2.8K / $26.3K |
| 09:39 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $4.8 | 1.00 ¢ | $2.8K / $26.3K |
| 09:40 | 0.590 | 0.590 | 0.580 | 0.580 | 2 | $13.45 | 1.00 ¢ | $2.8K / $26.3K |
| 09:41 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $96.06 | 1.00 ¢ | $2.7K / $26.1K |
| 09:42 | 0.590 | 0.590 | 0.590 | 0.590 | 2 | $607.5 | 1.00 ¢ | $2.9K / $25.5K |
| 09:45 | 0.590 | 0.590 | 0.580 | 0.580 | 2 | $85.85 | 1.00 ¢ | $12.9K / $12.8K |
| 09:57 | 0.580 | 0.580 | 0.580 | 0.580 | 2 | $63.36 | 1.00 ¢ | $13.5K / $4.9K |
| 10:00 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $14.86 | 1.00 ¢ | $8.1K / $4.9K |
| 10:01 | 0.580 | 0.590 | 0.580 | 0.590 | 2 | $50.51 | 1.00 ¢ | $7.4K / $4.9K |
| 10:02 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $4.8 | 1.00 ¢ | $7.3K / $4.8K |
| 10:03 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $19.06 | 1.00 ¢ | $7.3K / $4.8K |
| 10:06 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $1.92 | 1.00 ¢ | $7.4K / $4.7K |
| 10:11 | 0.590 | 0.590 | 0.590 | 0.590 | 2 | $350.29 | 1.00 ¢ | $7.4K / $4.4K |
| 10:12 | 0.590 | 0.590 | 0.580 | 0.580 | 2 | $2.8K | 1.00 ¢ | $7.2K / $4.5K |
| 10:15 | 0.580 | 0.590 | 0.580 | 0.590 | 3 | $104.22 | 1.00 ¢ | $5.8K / $4.2K |
| 10:16 | 0.590 | 0.580 | 0.580 | 0.580 | 1 | $138.21 | 1.00 ¢ | $6.0K / $4.2K |
| 10:19 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $10.26 | 1.00 ¢ | $6.3K / $4.0K |
| 10:20 | 0.590 | 0.580 | 0.580 | 0.580 | 1 | $815.11 | 1.00 ¢ | $5.5K / $5.6K |
| 10:22 | 0.580 | 0.590 | 0.580 | 0.590 | 4 | $120.15 | 1.00 ¢ | $5.5K / $5.5K |
| 10:23 | 0.590 | 0.580 | 0.580 | 0.580 | 1 | $11.31 | 1.00 ¢ | $5.5K / $5.5K |
| 10:24 | 0.580 | 0.590 | 0.590 | 0.590 | 1 | $5.9K | 1.00 ¢ | $6.1K / $7.3K |
| 10:28 | 0.590 | 0.600 | 0.600 | 0.600 | 1 | $66.26 | 1.00 ¢ | $11.9K / $25.3K |
| 10:29 | 0.600 | 0.590 | 0.590 | 0.590 | 1 | $2.05 | 1.00 ¢ | $11.9K / $25.0K |
| 10:30 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $29.53 | 1.00 ¢ | $11.9K / $22.1K |
| 10:31 | 0.590 | 0.600 | 0.600 | 0.600 | 1 | $2.12 | 1.00 ¢ | $11.9K / $22.2K |
| 10:32 | 0.600 | 0.600 | 0.600 | 0.600 | 2 | $2.1K | 1.00 ¢ | $11.9K / $21.1K |
| 10:33 | 0.600 | 0.590 | 0.590 | 0.590 | 1 | $4.33 | 1.00 ¢ | $11.9K / $21.8K |
| 10:34 | 0.590 | 0.600 | 0.600 | 0.600 | 1 | $1.01 | 1.00 ¢ | $11.9K / $21.1K |
| 10:37 | 0.600 | 0.590 | 0.590 | 0.590 | 2 | $15.85 | 1.00 ¢ | $11.9K / $21.4K |
| 10:38 | 0.590 | 0.600 | 0.600 | 0.600 | 1 | $60.05 | 1.00 ¢ | $11.9K / $21.3K |
| 10:42 | 0.600 | 0.600 | 0.600 | 0.600 | 2 | $15.02 | 1.00 ¢ | $11.9K / $22.8K |
| 10:43 | 0.600 | 0.590 | 0.590 | 0.590 | 1 | $1.45 | 1.00 ¢ | $11.9K / $22.8K |
| 10:45 | 0.590 | 0.600 | 0.590 | 0.600 | 4 | $1.8K | 1.00 ¢ | $11.3K / $23.2K |
| 10:46 | 0.600 | 0.600 | 0.600 | 0.600 | 1 | $50.05 | 1.00 ¢ | $10.3K / $22.6K |
| 10:47 | 0.600 | 0.600 | 0.590 | 0.600 | 2 | $10.3K | 1.00 ¢ | $500.26 / $22.1K |
| 10:48 | 0.600 | 0.590 | 0.590 | 0.590 | 1 | $36.62 | 1.00 ¢ | $174.61 / $22.5K |
| 10:49 | 0.590 | 0.580 | 0.580 | 0.580 | 1 | $466.79 | 1.00 ¢ | $4.4K / $13.9K |
| 10:52 | 0.580 | 0.590 | 0.580 | 0.590 | 2 | $21.1 | 1.00 ¢ | $8.3K / $15.3K |
| 10:54 | 0.590 | 0.590 | 0.580 | 0.590 | 3 | $1.0K | 1.00 ¢ | $8.3K / $17.9K |
| 10:55 | 0.590 | 0.590 | 0.590 | 0.590 | 1 | $100.09 | 1.00 ¢ | $8.9K / $16.5K |
| 10:56 | 0.590 | 0.590 | 0.580 | 0.590 | 2 | $1.6K | 1.00 ¢ | $9.0K / $16.3K |
| 10:59 | 0.590 | 0.580 | 0.580 | 0.580 | 2 | $9.7K | 1.00 ¢ | $3.6K / $16.0K |
| 11:00 | 0.580 | 0.600 | 0.600 | 0.600 | 1 | $500.42 | 1.00 ¢ | $3.4K / $6.5K |
| 11:01 | 0.600 | 0.580 | 0.580 | 0.580 | 1 | $6.92 | 1.03 ¢ | $3.1K / $777.76 |
| 11:03 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $1.39 | 1.00 ¢ | $4.9K / $6.1K |
| 11:04 | 0.580 | 0.580 | 0.580 | 0.580 | 3 | $6.0K | 1.00 ¢ | $3.6K / $6.3K |
| 11:05 | 0.580 | 0.580 | 0.580 | 0.580 | 1 | $1.3K | 1.00 ¢ | $1.3K / $6.1K |
| 11:06 | 0.580 | 0.580 | 0.570 | 0.580 | 6 | $2.4K | 1.00 ¢ | $26.3K / $3.0K |
| 11:07 | 0.580 | 0.580 | 0.570 | 0.570 | 5 | $3.0K | 1.00 ¢ | $10.4K / $3.1K |
| 11:08 | 0.570 | 0.610 | 0.580 | 0.610 | 11 | $7.4K | 1.00 ¢ | $6.5K / $3.9K |
| 11:09 | 0.610 | 0.640 | 0.600 | 0.640 | 12 | $3.9K | 1.00 ¢ | $10.5K / $3.4K |
| 11:10 | 0.640 | 0.650 | 0.640 | 0.650 | 3 | $595.34 | 1.00 ¢ | $12.7K / $2.7K |
First 120 of 228 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.
Why buy Polymarket 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
Polymarket WTA Tennis (matches & props) data — FAQ
What Polymarket 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 Polymarket (1,058 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 August 2025 – present — 344 trading days in total.
What format are the Polymarket 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 Polymarket 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. Polymarket 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 Polymarket 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 Polymarket 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 Polymarket?
On average 245 WTA Tennis (matches & props) contracts had at least one trade per UTC day over the last 30 captured days on Polymarket, with about 7.2M order-book level updates recorded per day. A day bundle contains every contract file of the series for that day.
How liquid are Polymarket WTA Tennis (matches & props) contracts?
Over the last 30 captured days, the turnover-weighted quoted bid-ask spread was 4.01 ¢ (contracts quote 0..1 = 100 ¢), the mean best-bid/best-ask notional was about $15.1K per side, 47 % 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 2026-10-16?
wta-svitoli-kartal-2026-10-16 — $738.1K USD turnover over 2,498 trades on Polymarket. The 10 most traded contracts of the series did 10,271 trades and $2.3M 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 Polymarket?
2026-10-14, with $5.2M of USD turnover over 27,222 trades across every WTA Tennis (matches & props) contract of the day; the busiest full month was Sep 2026 at $81.8M. Since our statistics began on 2026-07-08 the series has recorded 1,116,431 trades and $195.6M over 101 captured days; the single biggest contract was ARYNA-SABALENKA-v-LINDA-NOSKOVA-wta-sabalen-noskova-2026-09-08 on 2026-09-08 with $1.9M. Any of these days is a downloadable bundle.