predict.fun ATP Tennis (matches & props) Data
Every predict.fun “ATP 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. 19 trading days as day bundles, €1 per day, bought as a guest with instant download.
ATP Tennis (matches & props) on predict.fun — activity
Trades and USD turnover summed over every contract of the series across 19 captured days to 2026-11-01, 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 ATP Tennis (matches & props) contract that was listed on predict.fun on that UTC day — traded or not — 26 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 — 19 trading days, 80.3 MB compressed in total. A day typically holds 21 contract files (up to 81 on the busiest day, 11.3 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.
ATP Tennis (matches & props) — development since capture
15,319 trades and $1.8M of USD turnover over 19 captured days since 2026-10-11 — record day 2026-10-29 with $345.1K, biggest single contract atp-medvede-basilas-2026-10-25_almaty-open-daniil-medved_3763552 (MEDVEDE vs BASILAS · 2026-10-25) (2026-10-25, $100.4K).
| Month | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|
| Nov 2026 (month to date) | 1 | 318 | $25.4K | $25.4K | 18 | 107.0K | — |
| Oct 2026 | 18 | 15,001 | $1.8M | $101.2K | 206 | 4.9M | — |
predict.fun ATP 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.
ATP markets on other prediction venues
Kalshi, Polymarket also list ATP 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 · ATP Tennis (matches & props) (this page) | 15,319 | $1.8M | 2.18 ¢ | $2.2K | 328.8 | 19 | €1 |
| Kalshi · Challenger ATP | 8,521,825 | $521.1M | 2.30 ¢ | $11.1K | 45.5 | 249 | €1 |
| Polymarket · ATP Tennis (matches & props) | 766,094 | $137.4M | 2.88 ¢ | $12.8K | 642.2 | 405 | €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.
ATP Tennis (matches & props) — activity by weekday and hour
Mondays carry the most turnover, about $165.9K per day. Contracts listed to settle 15:00–15:59 UTC take 13 % of the turnover of the most traded contracts.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $165.9K | 1.2K | 2 | |
| Tuesday | $148.1K | 1.3K | 2 | |
| Wednesday | $62.6K | 823 | 2 | |
| Thursday | $127.4K | 1.2K | 3 | |
| Friday | $105.2K | 896 | 3 | |
| Saturday | $61.3K | 464.67 | 3 | |
| Sunday | $52.9K | 274.5 | 4 |
predict.fun ATP 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 |
|---|---|---|---|---|---|
| 00:00–00:59 | $23.3K | 1.3 % | 292 | 2 | |
| 06:00–06:59 | $2.5K | 0.1 % | 139 | 2 | |
| 07:00–07:59 | $24.4K | 1.3 % | 353 | 4 | |
| 08:00–08:59 | $53.1K | 2.9 % | 359 | 5 | |
| 09:00–09:59 | $38.4K | 2.1 % | 343 | 4 | |
| 10:00–10:59 | $10.8K | 0.6 % | 47 | 2 | |
| 11:00–11:59 | $86.4K | 4.7 % | 182 | 2 | |
| 12:00–12:59 | $153.1K | 8.4 % | 739 | 11 | |
| 13:00–13:59 | $118.9K | 6.5 % | 861 | 7 | |
| 14:00–14:59 | $174.2K | 9.6 % | 1,457 | 17 | |
| 15:00–15:59 | $245.3K | 13.5 % | 1,962 | 12 | |
| 16:00–16:59 | $63.8K | 3.5 % | 907 | 6 | |
| 17:00–17:59 | $197.0K | 10.8 % | 2,207 | 15 | |
| 18:00–18:59 | $178.8K | 9.8 % | 835 | 10 | |
| 19:00–19:59 | $216.0K | 11.8 % | 1,625 | 14 | |
| 20:00–20:59 | $68.9K | 3.8 % | 702 | 7 | |
| 21:00–21:59 | $119.9K | 6.6 % | 743 | 5 | |
| 22:00–22:59 | $23.0K | 1.3 % | 267 | 2 | |
| 23:00–23:59 | $25.4K | 1.4 % | 335 | 2 |
predict.fun ATP 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.
ATP Tennis (matches & props) — last 19 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-11-01 | 26 | 2.10 MB | 18 | 318 | $25.4K | 50 % | 1.41 ¢ | $805.81 | 107.0K | Buy day → | |
| 2026-10-31 | 23 | 3.09 MB | 8 | 420 | $59.5K | 42 % | 2.20 ¢ | $1.9K | 180.0K | Buy day → | |
| 2026-10-30 | 13 | 3.87 MB | 11 | 1,075 | $101.9K | 49 % | 1.72 ¢ | $858.58 | 234.7K | Buy day → | |
| 2026-10-29 | 19 | 9.53 MB | 14 | 2,854 | $345.1K | 51 % | 2.27 ¢ | $720.18 | 675.4K | Buy day → | |
| 2026-10-28 | 24 | 5.95 MB | 21 | 954 | $63.7K | 55 % | 3.27 ¢ | $1.4K | 394.4K | Buy day → | |
| 2026-10-27 | 31 | 11.3 MB | 27 | 1,538 | $147.5K | 44 % | 1.62 ¢ | $3.3K | 740.1K | Buy day → | |
| 2026-10-26 | 34 | 9.66 MB | 25 | 1,424 | $249.1K | 36 % | 3.95 ¢ | $1.4K | 536.4K | Buy day → | |
| 2026-10-25 | 38 | 2.45 MB | 18 | 780 | $186.2K | 37 % | 2.70 ¢ | $3.5K | 133.2K | Buy day → | |
| 2026-10-24 | 10 | 4.40 MB | 9 | 974 | $124.3K | 44 % | 1.92 ¢ | $2.6K | 274.9K | Buy day → | |
| 2026-10-23 | 32 | 9.49 MB | 17 | 1,613 | $213.7K | 32 % | 1.14 ¢ | $1.3K | 570.5K | Buy day → | |
| 2026-10-22 | 81 | 5.90 MB | 25 | 659 | $35.3K | 57 % | 3.17 ¢ | $1.1K | 309.3K | Buy day → | |
| 2026-10-18 | 1 | 681 KB | 0 | 0 | $0 | — | — | — | 54.8K | Buy day → | |
| 2026-10-17 | 3 | 888 KB | 0 | 0 | $0 | — | — | — | 70.9K | Buy day → | |
| 2026-10-16 | 4 | 1.26 MB | 0 | 0 | $0 | — | — | — | 102.6K | Buy day → | |
| 2026-10-15 | 5 | 403 KB | 3 | 11 | $1.7K | 93 % | 1.12 ¢ | $5.1K | 17.0K | Buy day → | |
| 2026-10-14 | 8 | 1.54 MB | 8 | 692 | $61.4K | 62 % | 1.46 ¢ | $1.8K | 121.9K | Buy day → | |
| 2026-10-13 | 8 | 2.32 MB | 8 | 1,046 | $148.7K | 56 % | 1.10 ¢ | $7.0K | 155.5K | Buy day → | |
| 2026-10-12 | 16 | 3.29 MB | 12 | 961 | $82.8K | 50 % | 1.35 ¢ | $1.9K | 262.1K | Buy day → | |
| 2026-10-11 | 15 | 2.21 MB | 0 | 0 | $0 | — | — | — | 96.1K | 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 ATP 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 ATP Tennis (matches & props) contracts on 2026-11-01 — 0 closed Yes (≥ 0.97), 2 closed No (≤ 0.03), 8 still open at the last print: 310 trades, $25.4K USD turnover. The busiest contract was atp-lehecka-vachero-2026-11-01_swiss-indoors-basel-jiri_4091817 with $19.2K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| atp-lehecka-vachero-2026-11-01_swiss-indoors-basel-jiri_4091817 LEHECKA vs VACHERO · 2026-11-01 | 2026-11-01 17:11 | 0.650 | 0.910 | 0.010 | 0.010 | 0.697 | No | 164 | $19.2K | 50 % | 1.43 ¢ | $981.93 | 40.9K | buy file → |
| atp-minaur-alcaraz-2026-11-01_erste-bank-open-alex-de-mi_4092852 MINAUR vs ALCARAZ · 2026-11-01 | 2026-11-01 15:16 | 0.180 | 0.220 | 0.010 | 0.010 | 0.121 | No | 127 | $5.9K | 53 % | 1.29 ¢ | $231.37 | 16.0K | buy file → |
| atp-musetti-hurkacz-2026-11-02_rolex-paris-masters-loren_4049583 MUSETTI vs HURKACZ · 2026-11-02 | 2026-11-02 12:31 | 0.540 | 0.540 | 0.470 | 0.490 | 0.490 | open | 5 | $149.66 | 33 % | 2.57 ¢ | $815.35 | 2.8K | buy file → |
| atp-tsitsip-tien-2026-11-02_rolex-paris-masters-stefanos_4049581 TSITSIP vs TIEN · 2026-11-02 | — | 0.432 | 0.460 | 0.432 | 0.450 | 0.450 | open | 2 | $63.37 | 100 % | 2.59 ¢ | $757.53 | 3.4K | buy file → |
| atp-tabilo-jodar-2026-11-02_rolex-paris-masters-alejandr_4049565 TABILO vs JODAR · 2026-11-02 | 2026-11-02 14:11 | 0.230 | 0.230 | 0.200 | 0.200 | 0.230 | open | 3 | $34.96 | 0 % | 2.51 ¢ | $107.73 | 3.2K | buy file → |
| atp-halys-fery-2026-11-02_rolex-paris-masters-quentin-ha_4049596 HALYS vs FERY · 2026-11-02 | — | 0.600 | 0.600 | 0.570 | 0.570 | 0.572 | open | 2 | $14.25 | 7 % | 3.21 ¢ | $1.8K | 954 | buy file → |
| atp-djokovi-vachero-2026-11-02_rolex-paris-masters-novak_4049563 DJOKOVI vs VACHERO · 2026-11-02 | — | 0.720 | 0.720 | 0.680 | 0.690 | 0.692 | open | 3 | $4.13 | 48 % | 8.65 ¢ | $363.79 | 2.1K | buy file → |
| atp-nakashi-berrett-2026-11-02_rolex-paris-masters-brand_4049555 NAKASHI vs BERRETT · 2026-11-02 | — | 0.600 | 0.600 | 0.600 | 0.600 | 0.600 | open | 2 | $2 | 100 % | 3.20 ¢ | $1.6K | 1.4K | buy file → |
| atp-molcan-droguet-2026-11-02_rolex-paris-masters-alex-m_4130342 MOLCAN vs DROGUET · 2026-11-02 | — | 0.550 | 0.550 | 0.550 | 0.550 | 0.550 | open | 1 | $1.28 | 0 % | 24.1 ¢ | $213.47 | 2.3K | buy file → |
| atp-assche-navone-2026-11-02_rolex-paris-masters-luca-va_4049558 ASSCHE vs NAVONE · 2026-11-02 | 2026-11-02 14:06 | 0.610 | 0.610 | 0.610 | 0.610 | 0.610 | open | 1 | $1 | 100 % | 2.91 ¢ | $1.4K | 2.9K | 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).
2026-10-31 — 8 contracts, 420 trades, $59.5K turnover
The 8 most traded ATP Tennis (matches & props) contracts on 2026-10-31 — 1 closed Yes (≥ 0.97), 2 closed No (≤ 0.03), 5 still open at the last print: 420 trades, $59.5K USD turnover. The busiest contract was atp-lehecka-struff-2026-10-31_swiss-indoors-basel-jiri-l_4036511 with $24.7K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| atp-lehecka-struff-2026-10-31_swiss-indoors-basel-jiri-l_4036511 LEHECKA vs STRUFF · 2026-10-31 | 2026-10-31 19:16 | 0.660 | 0.940 | 0.160 | 0.910 | 0.636 | open | 110 | $24.7K | 23 % | 1.31 ¢ | $2.1K | 41.6K | buy file → |
| atp-zverev-minaur-2026-10-31_erste-bank-open-alexander-z_4036517 ZVEREV vs MINAUR · 2026-10-31 | 2026-10-31 19:16 | 0.680 | 0.810 | 0.010 | 0.010 | 0.557 | No | 135 | $18.3K | 60 % | 4.16 ¢ | $1.4K | 49.4K | buy file → |
| atp-vachero-fritz-2026-10-31_swiss-indoors-basel-valenti_4026229 VACHERO vs FRITZ · 2026-10-31 | 2026-10-31 16:11 | 0.280 | 0.990 | 0.180 | 0.990 | 0.380 | Yes | 70 | $14.0K | 46 % | 1.29 ¢ | $2.3K | 35.1K | buy file → |
| atp-medvede-alcaraz-2026-10-31_erste-bank-open-daniil-me_4026237 MEDVEDE vs ALCARAZ · 2026-10-31 | 2026-10-31 16:26 | 0.320 | 0.350 | 0.010 | 0.010 | 0.202 | No | 101 | $2.5K | 74 % | 1.22 ¢ | $412.23 | 31.0K | buy file → |
| atp-tsitsip-tien-2026-11-02_rolex-paris-masters-stefanos_4049581 TSITSIP vs TIEN · 2026-11-02 | — | 0.432 | 0.432 | 0.432 | 0.432 | 0.432 | open | 1 | $60.85 | 0 % | 19.5 ¢ | $123.35 | 850 | buy file → |
| atp-aguilar-blockx-2026-11-02_rolex-paris-masters-daniel_4049569 AGUILAR vs BLOCKX · 2026-11-02 | 2026-11-02 10:56 | 0.530 | 0.530 | 0.530 | 0.530 | 0.530 | open | 1 | $7.94 | 100 % | 20.2 ¢ | $173.75 | 5.3K | buy file → |
| atp-fokina-kouame-2026-11-02_rolex-paris-masters-alejand_4049567 FOKINA vs KOUAME · 2026-11-02 | — | 0.850 | 0.850 | 0.850 | 0.850 | 0.850 | open | 1 | $1 | 100 % | 36.6 ¢ | $200 | 783 | buy file → |
| atp-musetti-hurkacz-2026-11-02_rolex-paris-masters-loren_4049583 MUSETTI vs HURKACZ · 2026-11-02 | 2026-11-02 12:31 | 0.540 | 0.540 | 0.540 | 0.540 | 0.540 | open | 1 | $1 | 100 % | 21.8 ¢ | $142.79 | 3.4K | buy file → |
2026-10-30 — 10 contracts, 1,071 trades, $101.9K turnover
The 10 most traded ATP Tennis (matches & props) contracts on 2026-10-30 — 2 closed Yes (≥ 0.97), 6 closed No (≤ 0.03), 2 still open at the last print: 1,071 trades, $101.9K USD turnover. The busiest contract was atp-rune-vachero-2026-10-30_swiss-indoors-basel-holger-r_3998602 with $32.3K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| atp-rune-vachero-2026-10-30_swiss-indoors-basel-holger-r_3998602 RUNE vs VACHERO · 2026-10-30 | 2026-10-30 15:51 | 0.580 | 0.690 | 0.010 | 0.010 | 0.358 | No | 301 | $32.3K | 44 % | 1.22 ¢ | $740.96 | 62.6K | buy file → |
| atp-zverev-fery-2026-10-30_erste-bank-open-alexander-zve_4007820 ZVEREV vs FERY · 2026-10-30 | 2026-10-30 18:31 | 0.870 | 0.990 | 0.854 | 0.990 | 0.951 | Yes | 52 | $18.5K | 57 % | 2.86 ¢ | $1.4K | 9.2K | buy file → |
| atp-paul-alcaraz-2026-10-30_erste-bank-open-tommy-paul-v_4007804 PAUL vs ALCARAZ · 2026-10-30 | 2026-10-30 17:06 | 0.230 | 0.360 | 0.010 | 0.010 | 0.189 | No | 271 | $17.9K | 52 % | 1.44 ¢ | $240.96 | 38.3K | buy file → |
| atp-struff-borges-2026-10-30_swiss-indoors-basel-jan-len_4007813 STRUFF vs BORGES · 2026-10-30 | 2026-10-30 20:26 | 0.550 | 0.990 | 0.510 | 0.980 | 0.864 | Yes | 64 | $12.6K | 40 % | 1.54 ¢ | $1.5K | 17.4K | buy file → |
| atp-fritz-fils-2026-10-30_swiss-indoors-basel-taylor-fri_4007822 FRITZ vs FILS · 2026-10-30 | 2026-10-30 16:56 | 0.480 | 0.950 | 0.300 | 0.950 | 0.564 | open | 116 | $9.4K | 46 % | 1.54 ¢ | $1.3K | 25.1K | buy file → |
| atp-mannari-medvede-2026-10-30_erste-bank-open-adrian-ma_3998610 MANNARI vs MEDVEDE · 2026-10-30 | 2026-10-30 14:51 | 0.190 | 0.235 | 0.010 | 0.010 | 0.108 | No | 106 | $4.1K | 62 % | 1.21 ¢ | $121.69 | 23.3K | buy file → |
| atp-berrett-minaur-2026-10-30_erste-bank-open-matteo-ber_4007811 BERRETT vs MINAUR · 2026-10-30 | 2026-10-30 21:36 | 0.310 | 0.560 | 0.030 | 0.030 | 0.208 | No | 77 | $3.8K | 48 % | 2.01 ¢ | $270.35 | 34.4K | buy file → |
| atp-kym-lehecka-2026-10-30_swiss-indoors-basel-jerome-ky_4011629 KYM vs LEHECKA · 2026-10-30 | 2026-10-30 19:06 | 0.260 | 0.435 | 0.010 | 0.010 | 0.176 | No | 74 | $3.2K | 70 % | 2.44 ¢ | $275.33 | 22.3K | buy file → |
| atp-medvede-alcaraz-2026-10-31_erste-bank-open-daniil-me_4026237 MEDVEDE vs ALCARAZ · 2026-10-31 | 2026-10-31 16:26 | 0.290 | 0.330 | 0.279 | 0.320 | 0.283 | open | 7 | $245.15 | 1 % | 12.9 ¢ | $586.53 | 893 | buy file → |
| atp-shelton-kym-2026-10-29_swiss-indoors-basel-ben-shelt_3942373 SHELTON vs KYM · 2026-10-29 | 2026-10-30 00:17 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | No | 3 | $4.36 | 100 % | 1.00 ¢ | — | 53 | buy file → |
2026-10-29 — 10 contracts, 2,662 trades, $340.4K turnover
The 10 most traded ATP Tennis (matches & props) contracts on 2026-10-29 — 5 closed Yes (≥ 0.97), 5 closed No (≤ 0.03): 2,662 trades, $340.4K USD turnover. The busiest contract was atp-djokovi-struff-2026-10-29_swiss-indoors-basel-novak_3978714 with $95.2K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| atp-djokovi-struff-2026-10-29_swiss-indoors-basel-novak_3978714 DJOKOVI vs STRUFF · 2026-10-29 | 2026-10-29 21:31 | 0.760 | 0.920 | 0.010 | 0.010 | 0.679 | No | 384 | $95.2K | 55 % | 1.69 ¢ | $790.47 | 63.9K | buy file → |
| atp-vachero-jodar-2026-10-29_swiss-indoors-basel-valenti_3928001 VACHERO vs JODAR · 2026-10-29 | 2026-10-29 14:16 | 0.270 | 0.990 | 0.100 | 0.990 | 0.382 | Yes | 359 | $51.8K | 65 % | 1.09 ¢ | $988.26 | 89.0K | buy file → |
| atp-norrie-medvede-2026-10-29_erste-bank-open-cameron-no_3962736 NORRIE vs MEDVEDE · 2026-10-29 | 2026-10-29 15:46 | 0.180 | 0.900 | 0.010 | 0.010 | 0.405 | No | 469 | $51.1K | 50 % | 1.03 ¢ | $292.67 | 96.0K | buy file → |
| atp-michels-fils-2026-10-29_swiss-indoors-basel-alex-mic_3942402 MICHELS vs FILS · 2026-10-29 | 2026-10-29 16:56 | 0.330 | 0.770 | 0.010 | 0.010 | 0.323 | No | 410 | $31.0K | 45 % | 1.23 ¢ | $411.31 | 93.0K | buy file → |
| atp-zverev-grieksp-2026-10-29_erste-bank-open-alexander_3962744 ZVEREV vs GRIEKSP · 2026-10-29 | 2026-10-29 19:56 | 0.780 | 0.990 | 0.730 | 0.990 | 0.851 | Yes | 117 | $30.0K | 43 % | 1.68 ¢ | $1.5K | 24.1K | buy file → |
| atp-shelton-kym-2026-10-29_swiss-indoors-basel-ben-shelt_3942373 SHELTON vs KYM · 2026-10-29 | 2026-10-30 00:17 | 0.750 | 0.870 | 0.010 | 0.010 | 0.427 | No | 289 | $23.3K | 52 % | 1.05 ¢ | $461.12 | 85.6K | buy file → |
| atp-fery-musetti-2026-10-29_erste-bank-open-arthur-fery_3962738 FERY vs MUSETTI · 2026-10-29 | 2026-10-29 19:31 | 0.260 | 0.990 | 0.080 | 0.990 | 0.405 | Yes | 275 | $20.7K | 39 % | 2.71 ¢ | $482.61 | 66.2K | buy file → |
| atp-fritz-shapova-2026-10-29_swiss-indoors-basel-taylor_3978725 FRITZ vs SHAPOVA · 2026-10-29 | 2026-10-29 18:36 | 0.670 | 0.990 | 0.570 | 0.990 | 0.873 | Yes | 96 | $19.0K | 35 % | 14.5 ¢ | $424.37 | 28.0K | buy file → |
| atp-paul-darderi-2026-10-29_erste-bank-open-tommy-paul-v_3927997 PAUL vs DARDERI · 2026-10-29 | 2026-10-29 14:06 | 0.790 | 0.990 | 0.760 | 0.990 | 0.941 | Yes | 52 | $14.3K | 36 % | 1.05 ¢ | $1.3K | 17.8K | buy file → |
| atp-basilas-alcaraz-2026-10-29_erste-bank-open-nikoloz-b_3978694 BASILAS vs ALCARAZ · 2026-10-29 | 2026-10-29 17:51 | 0.030 | 0.200 | 0.010 | 0.010 | 0.066 | No | 211 | $4.0K | 46 % | 6.35 ¢ | $153.67 | 36.3K | buy file → |
2026-10-28 — 10 contracts, 848 trades, $60.7K turnover
The 10 most traded ATP Tennis (matches & props) contracts on 2026-10-28 — 3 closed Yes (≥ 0.97), 5 closed No (≤ 0.03), 2 still open at the last print: 848 trades, $60.7K USD turnover. The busiest contract was atp-mensik-mannari-2026-10-28_erste-bank-open-jakub-mens_3927991 with $20.9K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| atp-mensik-mannari-2026-10-28_erste-bank-open-jakub-mens_3927991 MENSIK vs MANNARI · 2026-10-28 | 2026-10-28 19:11 | 0.530 | 0.910 | 0.010 | 0.010 | 0.519 | No | 285 | $20.9K | 76 % | 1.31 ¢ | $2.2K | 56.8K | buy file → |
| atp-hurkacz-rune-2026-10-28_swiss-indoors-basel-hubert-h_3927987 HURKACZ vs RUNE · 2026-10-28 | 2026-10-28 22:51 | 0.640 | 0.830 | 0.010 | 0.010 | 0.631 | No | 174 | $15.4K | 39 % | 1.15 ¢ | $630.85 | 64.2K | buy file → |
| atp-fritz-hijikat-2026-10-27_swiss-indoors-basel-taylor_3852360 FRITZ vs HIJIKAT · 2026-10-27 | 2026-10-28 20:36 | 0.880 | 0.970 | 0.840 | 0.940 | 0.884 | open | 18 | $4.2K | 60 % | 2.30 ¢ | $1.3K | 12.1K | buy file → |
| atp-rodiono-basilas-2026-10-27_erste-bank-open-jurij-rod_3798760 RODIONO vs BASILAS · 2026-10-27 | 2026-10-28 19:11 | 0.430 | 0.470 | 0.010 | 0.010 | 0.175 | No | 107 | $3.7K | 65 % | 1.26 ¢ | $455.56 | 56.0K | buy file → |
| atp-djokovi-humbert-2026-10-27_swiss-indoors-basel-novak_3797350 DJOKOVI vs HUMBERT · 2026-10-27 | 2026-10-28 18:26 | 0.710 | 0.990 | 0.370 | 0.990 | 0.635 | Yes | 72 | $3.6K | 55 % | 9.71 ¢ | $1.4K | 18.8K | buy file → |
| atp-grieksp-nakashi-2026-10-27_erste-bank-open-tallon-gr_3797442 GRIEKSP vs NAKASHI · 2026-10-27 | 2026-10-28 15:21 | 0.360 | 0.990 | 0.350 | 0.990 | 0.603 | Yes | 22 | $2.8K | 26 % | 3.08 ¢ | $1.5K | 15.6K | buy file → |
| atp-aguilar-medvede-2026-10-27_erste-bank-open-daniel-me_3797306 AGUILAR vs MEDVEDE · 2026-10-27 | 2026-10-28 14:46 | 0.290 | 0.380 | 0.010 | 0.010 | 0.228 | No | 21 | $2.8K | 49 % | 10.3 ¢ | $163.62 | 7.4K | buy file → |
| atp-tien-minaur-2026-10-28_erste-bank-open-learner-tien_3899503 TIEN vs MINAUR · 2026-10-28 | 2026-10-28 21:11 | 0.480 | 0.510 | 0.010 | 0.010 | 0.257 | No | 103 | $2.5K | 30 % | 1.20 ¢ | $1.2K | 40.0K | buy file → |
| atp-musetti-tiafoe-2026-10-27_erste-bank-open-lorenzo-mu_3798529 MUSETTI vs TIAFOE · 2026-10-27 | 2026-10-28 17:11 | 0.400 | 0.990 | 0.400 | 0.990 | 0.693 | Yes | 31 | $2.4K | 68 % | 4.72 ¢ | $1.3K | 16.5K | buy file → |
| atp-paul-darderi-2026-10-29_erste-bank-open-tommy-paul-v_3927997 PAUL vs DARDERI · 2026-10-29 | 2026-10-29 14:06 | 0.910 | 0.910 | 0.760 | 0.790 | 0.787 | open | 15 | $2.3K | 10 % | 23.2 ¢ | $2.5K | 3.3K | buy file → |
2026-10-27 — 10 contracts, 1,217 trades, $142.3K turnover
The 10 most traded ATP Tennis (matches & props) contracts on 2026-10-27 — 8 closed Yes (≥ 0.97), 1 closed No (≤ 0.03), 1 still open at the last print: 1,217 trades, $142.3K USD turnover. The busiest contract was atp-hurkacz-bergs-2026-10-27_swiss-indoors-basel-hubert_3852204 with $40.0K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| atp-hurkacz-bergs-2026-10-27_swiss-indoors-basel-hubert_3852204 HURKACZ vs BERGS · 2026-10-27 | 2026-10-27 13:36 | 0.620 | 0.990 | 0.260 | 0.990 | 0.533 | Yes | 221 | $40.0K | 43 % | 1.41 ¢ | $2.7K | 58.9K | buy file → |
| atp-paul-rublev-2026-10-27_erste-bank-open-tommy-paul-vs_3798018 PAUL vs RUBLEV · 2026-10-27 · moneyline | 2026-10-27 14:46 | 0.560 | 0.990 | 0.450 | 0.990 | 0.635 | Yes | 134 | $24.2K | 59 % | 1.15 ¢ | $3.7K | 45.8K | buy file → |
| atp-kym-rinderk-2026-10-27_swiss-indoors-basel-jerome-ky_3798317 KYM vs RINDERK · 2026-10-27 | 2026-10-27 15:36 | 0.520 | 0.990 | 0.500 | 0.990 | 0.798 | Yes | 57 | $15.2K | 36 % | 1.57 ¢ | $8.4K | 56.7K | buy file → |
| atp-zverev-landalu-2026-10-27_erste-bank-open-alexander_3797362 ZVEREV vs LANDALU · 2026-10-27 | 2026-10-27 20:46 | 0.910 | 0.990 | 0.160 | 0.990 | 0.632 | Yes | 178 | $15.0K | 44 % | 1.85 ¢ | $2.3K | 48.8K | buy file → |
| atp-mannari-buse-2026-10-27_erste-bank-open-adrian-manna_3852343 MANNARI vs BUSE · 2026-10-27 | 2026-10-27 17:31 | 0.640 | 0.990 | 0.230 | 0.990 | 0.615 | Yes | 158 | $14.9K | 28 % | 1.54 ¢ | $3.6K | 90.1K | buy file → |
| atp-norrie-cerundo-2026-10-27_erste-bank-open-cameron-no_3798523 NORRIE vs CERUNDO · 2026-10-27 | 2026-10-27 19:21 | 0.340 | 0.990 | 0.300 | 0.990 | 0.570 | Yes | 57 | $10.0K | 19 % | 1.88 ¢ | $1.5K | 25.5K | buy file → |
| atp-cobolli-dimitro-2026-10-27_erste-bank-open-flavio-co_3797248 COBOLLI vs DIMITRO · 2026-10-27 | 2026-10-27 23:21 | 0.650 | 0.960 | 0.410 | 0.950 | 0.651 | open | 135 | $7.2K | 57 % | 2.79 ¢ | $2.9K | 34.1K | buy file → |
| atp-shelton-kovacev-2026-10-27_swiss-indoors-basel-ben-s_3852206 SHELTON vs KOVACEV · 2026-10-27 | 2026-10-27 20:26 | 0.820 | 0.990 | 0.440 | 0.990 | 0.671 | Yes | 120 | $7.0K | 61 % | 1.76 ¢ | $1.9K | 47.8K | buy file → |
| atp-michels-zandsch-2026-10-27_swiss-indoors-basel-alex_3798724 MICHELS vs ZANDSCH · 2026-10-27 | 2026-10-27 18:41 | 0.650 | 0.990 | 0.220 | 0.990 | 0.485 | Yes | 94 | $5.4K | 50 % | 1.49 ¢ | $2.2K | 40.8K | buy file → |
| atp-perrica-fils-2026-10-27_swiss-indoors-basel-giovanni_3852250 PERRICA vs FILS · 2026-10-27 | 2026-10-27 17:16 | 0.230 | 0.320 | 0.010 | 0.010 | 0.169 | No | 63 | $3.4K | 75 % | 1.46 ¢ | $685.17 | 40.8K | buy file → |
2026-10-26 — 10 contracts, 1,300 trades, $243.1K turnover
The 10 most traded ATP Tennis (matches & props) contracts on 2026-10-26 — 6 closed Yes (≥ 0.97), 3 closed No (≤ 0.03), 1 still open at the last print: 1,300 trades, $243.1K USD turnover. The busiest contract was atp-mensik-neumaye-2026-10-26_erste-bank-open-jakub-mens_3852106 with $66.1K turnover.
| Contract | Settles (UTC) | Open | High | Low | Close | VWAP | Implied outcome | Trades | Turnover | Buy share | Spread | Top-1 depth | L2 updates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| atp-mensik-neumaye-2026-10-26_erste-bank-open-jakub-mens_3852106 MENSIK vs NEUMAYE · 2026-10-26 | 2026-10-26 18:26 | 0.840 | 0.990 | 0.840 | 0.990 | 0.942 | Yes | 99 | $66.1K | 8 % | 10.2 ¢ | $2.5K | 12.7K | buy file → |
| atp-machac-minaur-2026-10-26_erste-bank-open-tomas-macha_3852098 MACHAC vs MINAUR · 2026-10-26 | 2026-10-26 17:01 | 0.300 | 0.970 | 0.010 | 0.010 | 0.387 | No | 322 | $35.9K | 45 % | 1.64 ¢ | $1.1K | 59.5K | buy file → |
| atp-rune-halys-2026-10-27_swiss-indoors-basel-holger-run_3798450 RUNE vs HALYS · 2026-10-27 | 2026-10-26 18:16 | 0.500 | 0.960 | 0.230 | 0.480 | 0.543 | open | 201 | $28.6K | 42 % | 1.60 ¢ | $1.2K | 77.3K | buy file → |
| atp-darderi-arnaldi-2026-10-27_erste-bank-open-luciano-d_3798539 DARDERI vs ARNALDI · 2026-10-27 | 2026-10-26 19:51 | 0.480 | 0.990 | 0.420 | 0.990 | 0.832 | Yes | 63 | $25.5K | 40 % | 1.56 ¢ | $712.24 | 25.1K | buy file → |
| atp-altmaie-cerund-2026-10-26_swiss-indoors-basel-daniel_3852345 ALTMAIE vs CERUND · 2026-10-26 | 2026-10-26 17:21 | 0.440 | 0.990 | 0.210 | 0.990 | 0.513 | Yes | 216 | $23.8K | 35 % | 1.48 ¢ | $1.9K | 75.6K | buy file → |
| atp-vachero-navone-2026-10-27_swiss-indoors-basel-valent_3797241 VACHERO vs NAVONE · 2026-10-27 | 2026-10-26 15:16 | 0.640 | 0.990 | 0.630 | 0.990 | 0.889 | Yes | 65 | $23.3K | 46 % | 2.20 ¢ | $981.87 | 33.9K | buy file → |
| atp-berrett-etcheve-2026-10-27_erste-bank-open-matteo-be_3797434 BERRETT vs ETCHEVE · 2026-10-27 | 2026-10-26 14:41 | 0.630 | 0.990 | 0.610 | 0.990 | 0.811 | Yes | 61 | $22.6K | 60 % | 1.06 ¢ | $790.41 | 16.9K | buy file → |
| atp-stricke-ruud-2026-10-27_swiss-indoors-basel-dominic_3797455 STRICKE vs RUUD · 2026-10-27 | 2026-10-26 22:31 | 0.270 | 0.570 | 0.010 | 0.020 | 0.234 | No | 93 | $7.6K | 50 % | 1.40 ¢ | $507.26 | 32.7K | buy file → |
| atp-brunold-borges-2026-10-26_swiss-indoors-basel-mika-b_3852358 BRUNOLD vs BORGES · 2026-10-26 | 2026-10-26 14:21 | 0.340 | 0.520 | 0.010 | 0.010 | 0.110 | No | 132 | $5.5K | 55 % | 1.53 ¢ | $559.52 | 26.9K | buy file → |
| atp-fery-fearnle-2026-10-26_erste-bank-open-arthur-fery_3852108 FERY vs FEARNLE · 2026-10-26 | 2026-10-26 17:41 | 0.480 | 0.990 | 0.440 | 0.990 | 0.667 | Yes | 48 | $4.2K | 52 % | 1.66 ¢ | $1.5K | 25.7K | buy file → |
ATP Tennis (matches & props) — market types in the family
The ATP Tennis (matches & props) family on predict.fun has listed 209 contracts as of 2026-11-02: moneyline / winner 6 · other 203. 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 | 6 | 6 | 3 % |
| other | 203 | 179 | 97 % |
| Total | 209 | 185 | 100 % |
predict.fun ATP 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 2026-11-02; “listed last 30 days” counts contracts whose venue settlement time falls in that window. Every one of them is in the day bundle of its day.
How a ATP Tennis (matches & props) contract trades
On predict.fun, a ATP Tennis (matches & props) contract trades for about 2.0 days from open to close, and quotes in 1 ¢ price steps (0..1). Measured on the 10 contracts captured on 2026-11-01.
Try a ATP 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.
atp-medvede-basilas-2026-10-25_almaty-open-daniil-medved_3763552 minute by minute — 2026-10-25
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.
atp-medvede-basilas-2026-10-25_almaty-open-daniil-medved_3763552 traded in 117 of the day’s minutes (01:08–12:10 UTC): 283 trades, $100.4K turnover, opening at 0.780, ranging 0.520–0.990 and closing at 0.990.
| Minute (UTC) | Open | High | Low | Close | Trades | Turnover | Spread | Top-1 bid / ask |
|---|---|---|---|---|---|---|---|---|
| 01:08 | 0.780 | 0.790 | 0.790 | 0.790 | 1 | $99.86 | 1.01 ¢ | $854.93 / $564.03 |
| 01:34 | 0.790 | 0.790 | 0.790 | 0.790 | 1 | $29.96 | 1.00 ¢ | $854.94 / $118.35 |
| 01:58 | 0.790 | 0.790 | 0.790 | 0.790 | 1 | $3 | 1.00 ¢ | $854.93 / $117.05 |
| 03:49 | 0.790 | 0.790 | 0.790 | 0.790 | 1 | $9.99 | 1.00 ¢ | $864.75 / $107.33 |
| 03:59 | 0.790 | 0.790 | 0.790 | 0.790 | 1 | $49.94 | 1.00 ¢ | $1.0K / $95.6 |
| 04:13 | 0.790 | 0.790 | 0.790 | 0.790 | 1 | $1 | 1.00 ¢ | $1.0K / $54.55 |
| 04:28 | 0.790 | 0.790 | 0.790 | 0.790 | 1 | $2.88 | 1.00 ¢ | $1.0K / $53.27 |
| 04:36 | 0.790 | 0.790 | 0.790 | 0.790 | 1 | $1 | 1.00 ¢ | $1.0K / $50.74 |
| 05:30 | 0.790 | 0.800 | 0.800 | 0.800 | 1 | $9.99 | 1.00 ¢ | $797.7 / $1.0K |
| 05:36 | 0.800 | 0.800 | 0.800 | 0.800 | 1 | $1 | 1.00 ¢ | $797.68 / $922.49 |
| 05:39 | 0.800 | 0.800 | 0.800 | 0.800 | 1 | $10.99 | 1.00 ¢ | $797.69 / $200.69 |
| 05:40 | 0.800 | 0.790 | 0.790 | 0.790 | 1 | $3.76 | 1.00 ¢ | $795.99 / $188.61 |
| 05:50 | 0.790 | 0.790 | 0.790 | 0.790 | 1 | $7.52 | 1.00 ¢ | $790.84 / $379.5 |
| 06:54 | 0.790 | 0.800 | 0.800 | 0.800 | 1 | $5 | 1.00 ¢ | $264.88 / $330.01 |
| 06:57 | 0.800 | 0.810 | 0.800 | 0.800 | 4 | $499.35 | 1.09 ¢ | $222.45 / $16.5K |
| 07:36 | 0.800 | 0.810 | 0.810 | 0.810 | 1 | $1 | 1.00 ¢ | $420.49 / $89.2K |
| 07:42 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $1 | 1.00 ¢ | $420.49 / $89.3K |
| 07:49 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $9.99 | 1.00 ¢ | $420.49 / $45.4K |
| 07:54 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $19.98 | 1.00 ¢ | $420.49 / $45.4K |
| 08:12 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $5 | 1.00 ¢ | $420.5 / $45.4K |
| 08:25 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $9.99 | 1.00 ¢ | $420.5 / $45.4K |
| 08:32 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $1 | 1.00 ¢ | $420.51 / $44.3K |
| 08:58 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $1 | 1.00 ¢ | $948.67 / $775.03 |
| 09:09 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $1.5 | 1.00 ¢ | $900.22 / $736.31 |
| 09:36 | 0.810 | 0.800 | 0.800 | 0.800 | 3 | $1.3K | 1.00 ¢ | $711.41 / $510.13 |
| 09:45 | 0.800 | 0.810 | 0.810 | 0.810 | 1 | $12.15 | 1.00 ¢ | $158.48 / $757.89 |
| 09:49 | 0.810 | 0.800 | 0.800 | 0.800 | 1 | $169.66 | 1.02 ¢ | $223.34 / $423.53 |
| 09:50 | 0.800 | 0.800 | 0.800 | 0.800 | 1 | $119.85 | 1.02 ¢ | $421.38 / $160.87 |
| 09:51 | 0.800 | 0.800 | 0.800 | 0.800 | 1 | $6 | 1.00 ¢ | $494.71 / $79.32 |
| 09:52 | 0.800 | 0.790 | 0.790 | 0.790 | 1 | $3.76 | 1.00 ¢ | $491.29 / $73.91 |
| 09:56 | 0.790 | 0.818 | 0.817 | 0.818 | 2 | $4.0K | 1.30 ¢ | $250.43 / $483.3 |
| 09:59 | 0.818 | 0.820 | 0.810 | 0.820 | 2 | $149.81 | 1.25 ¢ | $234.14 / $272.46 |
| 10:00 | 0.820 | 0.810 | 0.810 | 0.810 | 1 | $1 | 1.01 ¢ | $466.74 / $361.83 |
| 10:02 | 0.810 | 0.810 | 0.810 | 0.810 | 1 | $1 | 1.00 ¢ | $302.75 / $304.83 |
| 10:04 | 0.810 | 0.800 | 0.800 | 0.800 | 3 | $843.02 | 1.20 ¢ | $1.6K / $1.4K |
| 10:10 | 0.800 | 0.780 | 0.780 | 0.780 | 1 | $2 | 1.02 ¢ | $1.5K / $1.3K |
| 10:13 | 0.780 | 0.810 | 0.800 | 0.810 | 2 | $44.95 | 1.04 ¢ | $1.6K / $1.3K |
| 10:14 | 0.810 | 0.780 | 0.780 | 0.780 | 1 | $14.17 | 1.00 ¢ | $1.6K / $1.4K |
| 10:16 | 0.780 | 0.760 | 0.760 | 0.760 | 1 | $15.82 | 1.00 ¢ | $1.3K / $1.0K |
| 10:17 | 0.760 | 0.760 | 0.760 | 0.760 | 2 | $25.31 | 1.00 ¢ | $1.8K / $1.2K |
| 10:18 | 0.760 | 0.770 | 0.770 | 0.770 | 2 | $327.41 | 1.01 ¢ | $2.4K / $678.95 |
| 10:19 | 0.770 | 0.780 | 0.770 | 0.770 | 4 | $1.7K | 1.00 ¢ | $2.0K / $1.4K |
| 10:23 | 0.770 | 0.850 | 0.830 | 0.830 | 2 | $46.27 | 1.10 ¢ | $1.3K / $1.6K |
| 10:30 | 0.830 | 0.800 | 0.780 | 0.780 | 3 | $2.97 | 1.18 ¢ | $1.5K / $1.6K |
| 10:31 | 0.780 | 0.800 | 0.800 | 0.800 | 1 | $1 | 1.36 ¢ | $1.4K / $824.55 |
| 10:34 | 0.800 | 0.760 | 0.760 | 0.760 | 5 | $2.5K | 1.01 ¢ | $1.3K / $1.2K |
| 10:35 | 0.760 | 0.750 | 0.750 | 0.750 | 1 | $23.98 | 1.09 ¢ | $1.7K / $1.3K |
| 10:37 | 0.750 | 0.800 | 0.800 | 0.800 | 1 | $37.96 | 1.80 ¢ | $2.2K / $855.52 |
| 10:38 | 0.800 | 0.780 | 0.780 | 0.780 | 2 | $53.13 | 1.09 ¢ | $1.1K / $1.5K |
| 10:39 | 0.780 | 0.740 | 0.740 | 0.740 | 1 | $71.07 | 1.00 ¢ | $1.6K / $1.3K |
| 10:40 | 0.740 | 0.740 | 0.740 | 0.740 | 1 | $14.22 | 1.00 ¢ | $1.7K / $1.3K |
| 10:41 | 0.740 | 0.740 | 0.730 | 0.740 | 3 | $428.57 | 1.00 ¢ | $3.0K / $1.1K |
| 10:42 | 0.740 | 0.770 | 0.740 | 0.770 | 4 | $119.32 | 1.01 ¢ | $1.6K / $957.59 |
| 10:44 | 0.770 | 0.760 | 0.750 | 0.750 | 2 | $199.75 | 1.00 ¢ | $1.5K / $1.3K |
| 10:45 | 0.750 | 0.750 | 0.750 | 0.750 | 3 | $601.83 | 1.00 ¢ | $1.3K / $1.3K |
| 10:46 | 0.750 | 0.750 | 0.750 | 0.750 | 2 | $38.04 | 1.00 ¢ | $944.12 / $2.1K |
| 10:47 | 0.750 | 0.760 | 0.740 | 0.740 | 2 | $19.22 | 1.00 ¢ | $1.6K / $1.4K |
| 10:49 | 0.740 | 0.680 | 0.620 | 0.620 | 2 | $214.64 | 1.29 ¢ | $953.22 / $734.86 |
| 10:50 | 0.620 | 0.730 | 0.600 | 0.720 | 5 | $145.3 | 1.41 ¢ | $1.1K / $1.1K |
| 10:51 | 0.720 | 0.750 | 0.720 | 0.720 | 5 | $1.2K | 1.14 ¢ | $1.7K / $1.2K |
| 10:52 | 0.720 | 0.760 | 0.750 | 0.760 | 2 | $22.68 | 1.01 ¢ | $2.4K / $711.8 |
| 10:55 | 0.760 | 0.760 | 0.760 | 0.760 | 2 | $14.98 | 1.04 ¢ | $1.4K / $1.4K |
| 10:56 | 0.760 | 0.790 | 0.730 | 0.790 | 4 | $304 | 1.32 ¢ | $1.4K / $1.3K |
| 10:58 | 0.790 | 0.790 | 0.790 | 0.790 | 5 | $2.6K | 1.51 ¢ | $1.4K / $1.2K |
| 10:59 | 0.790 | 0.750 | 0.750 | 0.750 | 1 | $197.13 | 1.51 ¢ | $1.2K / $1.7K |
| 11:00 | 0.750 | 0.770 | 0.680 | 0.680 | 7 | $1.7K | 2.51 ¢ | $1.1K / $1.5K |
| 11:01 | 0.680 | 0.600 | 0.520 | 0.520 | 5 | $270 | 1.07 ¢ | $905.04 / $989.53 |
| 11:02 | 0.520 | 0.530 | 0.530 | 0.530 | 5 | $1.4K | 1.00 ¢ | $976.05 / $930.81 |
| 11:03 | 0.530 | 0.550 | 0.530 | 0.550 | 4 | $258.69 | 1.00 ¢ | $1.1K / $968.23 |
| 11:04 | 0.550 | 0.560 | 0.550 | 0.560 | 3 | $50.78 | 1.09 ¢ | $1.0K / $859.04 |
| 11:05 | 0.560 | 0.560 | 0.560 | 0.560 | 2 | $19.97 | 1.00 ¢ | $1.4K / $988.08 |
| 11:07 | 0.560 | 0.600 | 0.600 | 0.600 | 1 | $3 | 1.20 ¢ | $1.1K / $971.03 |
| 11:08 | 0.600 | 0.670 | 0.670 | 0.670 | 2 | $49.94 | 1.07 ¢ | $1.1K / $1.2K |
| 11:09 | 0.670 | 0.750 | 0.720 | 0.750 | 8 | $2.8K | 1.00 ¢ | $1.4K / $1.3K |
| 11:10 | 0.750 | 0.750 | 0.730 | 0.730 | 3 | $278.13 | 1.01 ¢ | $1.4K / $1.4K |
| 11:11 | 0.730 | 0.730 | 0.730 | 0.730 | 8 | $3.4K | 1.02 ¢ | $1.8K / $1.3K |
| 11:12 | 0.730 | 0.740 | 0.730 | 0.740 | 4 | $508.86 | 1.00 ¢ | $944.18 / $1.4K |
| 11:13 | 0.740 | 0.740 | 0.730 | 0.740 | 2 | $145.03 | 1.00 ¢ | $951.29 / $1.8K |
| 11:14 | 0.740 | 0.740 | 0.730 | 0.740 | 2 | $17.78 | 1.00 ¢ | $1.0K / $2.5K |
| 11:15 | 0.740 | 0.740 | 0.730 | 0.730 | 2 | $104.86 | 1.00 ¢ | $1.2K / $2.0K |
| 11:16 | 0.730 | 0.730 | 0.730 | 0.730 | 1 | $1 | 1.01 ¢ | $1.1K / $1.4K |
| 11:18 | 0.730 | 0.740 | 0.730 | 0.740 | 2 | $10.99 | 1.00 ¢ | $1.3K / $1.7K |
| 11:19 | 0.740 | 0.740 | 0.730 | 0.740 | 2 | $17.41 | 1.00 ¢ | $1.3K / $1.6K |
| 11:20 | 0.740 | 0.740 | 0.740 | 0.740 | 1 | $99.87 | 1.00 ¢ | $1.3K / $1.4K |
| 11:21 | 0.740 | 0.750 | 0.740 | 0.750 | 3 | $612.39 | 1.01 ¢ | $1.9K / $1.2K |
| 11:22 | 0.750 | 0.770 | 0.770 | 0.770 | 1 | $49.94 | 1.00 ¢ | $1.5K / $911.9 |
| 11:23 | 0.770 | 0.780 | 0.780 | 0.780 | 1 | $9.99 | 1.00 ¢ | $1.5K / $1.4K |
| 11:24 | 0.780 | 0.790 | 0.790 | 0.790 | 2 | $1.4K | 1.03 ¢ | $1.5K / $1.5K |
| 11:25 | 0.790 | 0.800 | 0.780 | 0.790 | 7 | $34.5 | 1.00 ¢ | $1.3K / $1.8K |
| 11:26 | 0.790 | 0.790 | 0.779 | 0.790 | 4 | $3.6K | 1.02 ¢ | $2.4K / $720.52 |
| 11:27 | 0.790 | 0.800 | 0.790 | 0.800 | 2 | $75.04 | 1.24 ¢ | $1.6K / $1.5K |
| 11:29 | 0.800 | 0.740 | 0.740 | 0.740 | 1 | $338.09 | 1.14 ¢ | $1.3K / $1.5K |
| 11:30 | 0.740 | 0.770 | 0.770 | 0.770 | 1 | $4.74 | 1.00 ¢ | $981.96 / $1.2K |
| 11:31 | 0.770 | 0.750 | 0.750 | 0.750 | 3 | $10.44 | 1.04 ¢ | $1.2K / $1.4K |
| 11:34 | 0.750 | 0.920 | 0.870 | 0.920 | 3 | $1.1K | 1.38 ¢ | $1.7K / $1.2K |
| 11:35 | 0.920 | 0.940 | 0.910 | 0.910 | 4 | $465.68 | 1.22 ¢ | $1.7K / $1.7K |
| 11:36 | 0.910 | 0.950 | 0.940 | 0.940 | 4 | $205.89 | 1.15 ¢ | $1.4K / $2.1K |
| 11:37 | 0.940 | 0.950 | 0.940 | 0.950 | 6 | $569.31 | 1.00 ¢ | $1.6K / $1.8K |
| 11:39 | 0.950 | 0.940 | 0.900 | 0.940 | 4 | $984.68 | 1.06 ¢ | $1.7K / $1.8K |
| 11:40 | 0.940 | 0.960 | 0.960 | 0.960 | 1 | $49.95 | 1.00 ¢ | $1.9K / $2.1K |
| 11:42 | 0.960 | 0.950 | 0.950 | 0.950 | 1 | $89.9 | 1.00 ¢ | $1.9K / $1.9K |
| 11:43 | 0.950 | 0.940 | 0.937 | 0.937 | 3 | $2.6K | 1.04 ¢ | $1.8K / $1.9K |
| 11:45 | 0.937 | 0.960 | 0.960 | 0.960 | 2 | $93.58 | 1.00 ¢ | $1.8K / $1.9K |
| 11:46 | 0.960 | 0.960 | 0.940 | 0.960 | 2 | $247.58 | 1.01 ¢ | $1.7K / $1.9K |
| 11:47 | 0.960 | 0.960 | 0.950 | 0.960 | 3 | $125.62 | 1.00 ¢ | $1.4K / $2.3K |
| 11:50 | 0.960 | 0.950 | 0.950 | 0.950 | 3 | $2.0K | 1.00 ¢ | $4.2K / $2.1K |
| 11:51 | 0.950 | 0.960 | 0.960 | 0.960 | 7 | $3.0K | 1.02 ¢ | $32.3K / $3.1K |
| 11:52 | 0.960 | 0.960 | 0.950 | 0.950 | 17 | $44.4K | 1.02 ¢ | $10.2K / $2.4K |
| 11:53 | 0.950 | 0.983 | 0.950 | 0.983 | 6 | $3.6K | 1.04 ¢ | $1.5K / $1.9K |
| 11:54 | 0.983 | 0.980 | 0.980 | 0.980 | 1 | $19.98 | 1.00 ¢ | $1.7K / $2.0K |
| 11:57 | 0.980 | 0.990 | 0.990 | 0.990 | 3 | $1.9K | 1.00 ¢ | $13.5K / $2.0K |
| 11:58 | 0.990 | 0.990 | 0.980 | 0.980 | 3 | $1.3K | 1.00 ¢ | $2.1K / $1.9K |
| 12:01 | 0.980 | 0.990 | 0.990 | 0.990 | 1 | $17.68 | 1.00 ¢ | — |
| 12:03 | 0.990 | 0.990 | 0.990 | 0.990 | 1 | $13.26 | 1.00 ¢ | — |
| 12:04 | 0.990 | 0.990 | 0.990 | 0.990 | 1 | $1.8K | 1.00 ¢ | — |
| 12:05 | 0.990 | 0.990 | 0.990 | 0.990 | 1 | $235.65 | 1.00 ¢ | — |
| 12:10 | 0.990 | 0.990 | 0.990 | 0.990 | 1 | $22.11 | 1.00 ¢ | — |
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 ATP Tennis (matches & props) model on this data
Every settled ATP 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 ATP 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 ATP Tennis (matches & props) data — FAQ
What predict.fun ATP Tennis (matches & props) data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of the ATP Tennis (matches & props) series on predict.fun (26 contract files on the latest day). One bundle = one UTC day of the whole series.
How far back does the ATP Tennis (matches & props) data go?
Coverage runs October 2026 – present — 19 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 ATP 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 ATP 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 ATP 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 ATP 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 ATP Tennis (matches & props) contracts trade per day on predict.fun?
On average 12 ATP Tennis (matches & props) contracts had at least one trade per UTC day over the last 19 captured days on predict.fun, with about 265.1K 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 ATP Tennis (matches & props) contracts?
Over the last 19 captured days, the turnover-weighted quoted bid-ask spread was 2.18 ¢ (contracts quote 0..1 = 100 ¢), the mean best-bid/best-ask notional was about $2.2K per side, 45 % 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 ATP Tennis (matches & props) contract on 2026-11-01?
atp-lehecka-vachero-2026-11-01_swiss-indoors-basel-jiri_4091817 (LEHECKA vs VACHERO · 2026-11-01) — $19.2K USD turnover over 164 trades on predict.fun. The 10 most traded contracts of the series did 310 trades and $25.4K 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 ATP Tennis (matches & props) trading day on predict.fun?
2026-10-29, with $345.1K of USD turnover over 2,854 trades across every ATP Tennis (matches & props) contract of the day; the busiest full month was Oct 2026 at $1.8M. Since our statistics began on 2026-10-11 the series has recorded 15,319 trades and $1.8M over 19 captured days; the single biggest contract was atp-medvede-basilas-2026-10-25_almaty-open-daniil-medved_3763552 (MEDVEDE vs BASILAS · 2026-10-25) on 2026-10-25 with $100.4K. Any of these days is a downloadable bundle.
When do ATP Tennis (matches & props) contracts settle?
Contracts listed to settle between 15:00 and 15:59 UTC carried 13 % of the USD turnover of the most traded ATP 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 ATP Tennis (matches & props) series include?
As of 2026-11-02 the ATP Tennis (matches & props) family on predict.fun had listed 209 contracts: moneyline / winner 6 · other 203. 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 ATP Tennis (matches & props) trade most?
Mondays — about $165.9K of USD turnover per Monday and 18 % of the series' turnover over the 19 captured days to 2026-11-01 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 ATP Tennis (matches & props) turnover trades on game day?
98 % — across 91 settled ATP Tennis (matches & props) contracts between 2026-10-12 and 2026-11-01 on predict.fun, 98 % of their USD turnover printed on the UTC day the contract settled and 2 % 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 ATP Tennis (matches & props) contracts trade?
A median of 1 captured trading day per contract, settlement day included — across 91 settled ATP Tennis (matches & props) contracts to 2026-11-01 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-atp&d=<from>..<to>) to get the whole pre-event path of each contract.