Daily picks

Estimated probability: 80%. Bellucci took a set in all 9 completed hard-court matches in the last 30 days, including straight-set wins over Walton (rank 98), Muller (133) and Ymer (192). Pavlovic conceded a set in 4/9. Rank 86 versus 207 and the high-quality model support Bellucci for a set. Main risk: Pavlovic just beat Schoolkate (155) 2-0 and took a set in 8/9 himself, while Bellucci lost to Zhou (277) and Harris; there is no H2H.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 10:39 GMT+3
- Result: Not set→0-2
- Status: pending→won

Match intelligence

Pavlovic L.25%

Bellucci M.75%

Jinan

09:15 AM GMT+3

TennislostbalancedChatGPTAuto

Jovic I.

FormWLWWW

Chwalinska M.

FormWWLLW

Country: China
Tournament: Wuhan
Match time: Thu, Oct 15, 09:30 GMT+3
Surface: Hard

ChatGPT pick

Jovic I. to win a set

Final result

0-2

Estimated probability: 78%. Jovic took a set in 7/8 completed hard-court matches in the last 30 days, with straight-set wins over Stearns (rank 37), Bucsa (38), Frech (56) and Yastremska (103). Chwalinska conceded a set in 3/7. Rank 11 versus 22 and the high-quality model support Jovic for a set. Main risk: Chwalinska just beat Bouzkova and previously beat Mertens, Jovic was swept by Swiatek, and there is no H2H; both players have strong current form.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 11:20 GMT+3
- Result: Not set→0-2
- Status: pending→lost

Match intelligence

Jovic I.71%

Chwalinska M.29%

Wuhan

09:30 AM GMT+3

TennisvoidbalancedChatGPTAuto

Gea A.

FormWWWWL

Davidovich Fokina A.

FormWWWLW

Country: China
Tournament: Shanghai
Match time: Thu, Oct 15, 09:40 GMT+3
Surface: Hard

ChatGPT pick

Gea A. to win a set

Final result

0-0

Estimated probability: 75%. Gea took a set in all 8 completed hard-court BO3 matches in the last 30 days, with recent straight-set wins over Shelton (rank 4) and Mensik (15). Davidovich Fokina conceded a set in 4/8. Gea has demonstrated the level needed for a set against stronger-ranked opposition. Main risk: Davidovich Fokina also took a set in all eight, has the better ranking and just beat Tiafoe and Hurkacz; the low-quality match model is essentially even and there is no H2H.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 10:08 GMT+3
- Result: Not set→0-0
- Status: pending→void

Match intelligence

Gea A.48%

Davidovich Fokina A.52%

Shanghai

09:40 AM GMT+3

TenniswonbalancedChatGPTAuto

Fernandez L.

FormWWLWW

Ostapenko J.

FormWWLWL

Country: China
Tournament: Wuhan
Match time: Thu, Oct 15, 10:40 GMT+3
Surface: Hard

ChatGPT pick

Fernandez L. to win a set

Final result

1-2

Estimated probability: 78%. Fernandez took a set in all 8 completed hard-court matches in the last 30 days, with wins over Andreeva (rank 3), Chwalinska (22) and Alexandrova (24). Ostapenko conceded a set in 3/6. The medium-quality model and rank 25 versus 34 support Fernandez for a set. Main risk: Ostapenko just beat Pegula (4), won the only supplied H2H on grass in 2021, and has four current wins; that old different-surface meeting is not used as current hard-court evidence.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 12:37 GMT+3
- Result: Not set→1-2
- Status: pending→won

Match intelligence

Fernandez L.59%

Ostapenko J.41%

Wuhan

10:40 AM GMT+3

1 recent head-to-head meeting available

TenniswonbalancedChatGPTAuto

Dabrowski G. / Stefani L.

FormWWWWW

Eikeri U. / Gleason Q.

FormWLWLL

Country: China
Tournament: Wuhan
Match time: Thu, Oct 15, 12:00 GMT+3
Surface: Hard

ChatGPT pick

Dabrowski G. / Stefani L. to win a set

Final result

2-0

Estimated probability: 83%. Dabrowski/Stefani won all 8 completed hard-court partnership matches in the last 30 days, including Siniakova/Zhang and Mertens/Shnaider. Eikeri/Gleason conceded a set in 3/4 and lost their 6 October hard-court H2H 0-2. The medium-quality model supports this side; a set is broader than the match-winner market. Main risk: Eikeri/Gleason just beat Joint/Krawczyk, their current sample is only four, and doubles tiebreak variance remains.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 13:52 GMT+3
- Result: Not set→2-0
- Status: pending→won

Match intelligence

Dabrowski G. / Stefani L.76%

Eikeri U. / Gleason Q.24%

Wuhan

12:00 PM GMT+3

3 recent head-to-head meetings available

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Tang Q. / Xu Y.

FormWLLWW

Bucsa C. / Melichar-Martinez N.

FormWLWWW

Country: China
Tournament: Wuhan
Match time: Thu, Oct 15, 12:00 GMT+3
Surface: Hard

ChatGPT pick

Bucsa C. / Melichar-Martinez N. to win a set

Final result

0-2

Estimated probability: 78%. Bucsa/Melichar-Martinez took a set in all 7 completed hard-court partnership matches in the last 30 days, including wins over Dolehide/Khromacheva and Kozyreva/Lumsden. Tang/Xu conceded a set in 4/6 and were swept by Dabrowski/Stefani and Routliffe/Sutjiadi. The high-quality model favours Bucsa/Melichar-Martinez for the direction. Main risk: Tang/Xu won four of six and their latest match; there is no H2H and several Bucsa/Melichar-Martinez wins needed a deciding set.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 12:28 GMT+3
- Result: Not set→0-2
- Status: pending→won

Match intelligence

Tang Q. / Xu Y.36%

Bucsa C. / Melichar-Martinez N.64%

Wuhan

12:00 PM GMT+3

TenniswonbalancedChatGPTAuto

Balshaw F.

FormWLLWW

Bobichon M.

FormWLWWW

Country: France
Tournament: Roanne
Match time: Thu, Oct 15, 12:10 GMT+3
Surface: Hard

ChatGPT pick

Balshaw F. to win a set

Final result

2-0

Estimated probability: 75%. Balshaw took a set in all 5 completed hard-court matches in the last 30 days, including wins over Onclin (rank 168) and Budkov Kjaer (152), and a three-set loss to Schwaerzler (176). Bobichon conceded a set in 3/10 but much of his winning sample was against ranks 931 to 1435. Rank 198 versus 571 supports Balshaw for a set. Main risk: the model quality is low, every Balshaw match went three sets, and Bobichon beat Mannarino (83) and Harris (241); no H2H is available.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 13:32 GMT+3
- Result: Not set→2-0
- Status: pending→won

Match intelligence

Balshaw F.67%

Bobichon M.33%

Roanne

12:10 PM GMT+3

TenniswonbalancedChatGPTAuto

Trungelliti M.

FormWLLWL

Karol M.

FormWWWLL

Country: Portugal
Tournament: Maia
Match time: Thu, Oct 15, 13:05 GMT+3
Surface: Clay

ChatGPT pick

Trungelliti M. to win a set

Final result

2-0

Estimated probability: 74%. Trungelliti took a set in all 5 completed clay matches in the last 30 days, including a straight-set win over Cecchinato (rank 163) and a latest three-set win over Monteiro (235). Karol conceded a set in 3/4 and was swept by Cacao (649). Rank 90 versus 583 and the medium-quality model support Trungelliti for a set. Main risk: four of his five matches were in mid-September, Karol has won his last three, and there is no H2H; the current comparative sample is modest.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 14:07 GMT+3
- Result: Not set→2-0
- Status: pending→won

Match intelligence

Trungelliti M.73%

Karol M.27%

Maia

01:05 PM GMT+3

TenniswonbalancedChatGPTAuto

Romero Gormaz L.

FormWLWLL

Serban R.

FormWWWLW

Country: Portugal
Tournament: Lisbon
Match time: Thu, Oct 15, 13:10 GMT+3
Surface: Clay

ChatGPT pick

Romero Gormaz L. to win a set

Final result

2-0

Estimated probability: 70%. Romero Gormaz took a set in all 4 completed clay matches in the last 30 days, including a win over Hercog (rank 224). Serban conceded a set in 3/5 and her three wins were over ranks 527, 609 and 1453. Rank 139 versus 409 and the high-quality model favour Romero Gormaz for the direction. Main risk: her two current losses were to ranks 301 and 315, every current match went three sets, and the old clay H2H was a Serban sweep; the sample is modest.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 14:37 GMT+3
- Result: Not set→2-0
- Status: pending→won

Match intelligence

Romero Gormaz L.71%

Serban R.29%

Lisbon

01:10 PM GMT+3

3 recent head-to-head meetings available

TenniswonbalancedChatGPTAuto

Zverev A.

FormWWWLW

De Minaur A.

FormWW–LW

Country: China
Tournament: Shanghai
Match time: Thu, Oct 15, 13:10 GMT+3
Surface: Hard

ChatGPT pick

Zverev A. to win a set

Final result

2-0

Estimated probability: 73%. Zverev took a set in all 6 completed hard-court BO3 matches in the last 30 days, including wins over Bublik (rank 22), Norrie (40) and Halys (48). Rank 2 versus 9 and the high-quality model support Zverev for a set. Main risk: De Minaur won all five comparable current matches and conceded a set in only two; the supplied September Laver Cup H2Hs favour De Minaur but use a different team-event format and are excluded from the standard BO3 sample. Zverev needed three sets in his latest two wins.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 14:30 GMT+3
- Result: Not set→2-0
- Status: pending→won

Match intelligence

Zverev A.68%

De Minaur A.32%

Shanghai

01:10 PM GMT+3

10 recent head-to-head meetings available

TennislostbalancedChatGPTAuto

Kostovic T.

FormWLWWL

Kubka M.

FormWLWLL

Country: Italy
Tournament: Rovereto
Match time: Thu, Oct 15, 13:10 GMT+3
Surface: Hard

ChatGPT pick

Kostovic T. to win a set

Final result

0-2

Estimated probability: 74%. Kostovic took a set in 8/9 completed hard-court matches in the last 30 days, including wins over Iatcenko (rank 142) and Jacquemot (158), plus a three-set loss to Ruzic (93). Kubka conceded a set in 5/7. Rank 149 versus 166 and the high-quality model support Kostovic for a set. Main risk: Kubka won both supplied H2Hs, including a February sweep, and just beat Charaeva (98) 2-0; Kostovic was swept by Quevedo.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 14:45 GMT+3
- Result: Not set→0-2
- Status: pending→lost

Match intelligence

Kostovic T.62%

Kubka M.38%

Rovereto

01:10 PM GMT+3

2 recent head-to-head meetings available

TenniswonbalancedChatGPTAuto

Lagutin P.

FormWWWLW

Giunta M.

FormWLWWL

Country: Italy
Tournament: Catania
Match time: Thu, Oct 15, 14:10 GMT+3
Surface: Clay

ChatGPT pick

Giunta M. to win a set

Final result

0-2

Estimated probability: 69%. Giunta took a set in 6/7 completed clay matches in the last 30 days, including wins over Searle (rank 228) and Cadenasso (220), plus a three-set loss to Moro Canas (233). Lagutin conceded a set in 4/7. Their rankings are close, making a Giunta set more defensible than a winner call. Main risk: the high-quality match model favours Lagutin, who won his latest three; Giunta was swept by Taberner and there is no H2H.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 16:09 GMT+3
- Result: Not set→0-2
- Status: pending→won

Match intelligence

Lagutin P.58%

Giunta M.42%

Catania

02:10 PM GMT+3

TenniswonbalancedChatGPTAuto

Krueger A.

FormWWLWL

Swiatek I.

FormWLWWW

Country: China
Tournament: Wuhan
Match time: Thu, Oct 15, 14:25 GMT+3
Surface: Hard

ChatGPT pick

Swiatek I. to win a set

Final result

0-2

Estimated probability: 80%. Swiatek took a set in 4/5 completed hard-court matches in the last 30 days, with straight-set wins over Jovic (rank 11) and Frech (56). Krueger conceded a set in 3/6 and was swept by Li and Putintseva. Rank 9 versus 68 and the high-quality model strongly support Swiatek for the direction, with a set broader than a match win. Main risk: Swiatek was swept by Mertens in this sample, Krueger won her last two and four of six overall, and no H2H is available.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 16:03 GMT+3
- Result: Not set→0-2
- Status: pending→won

Match intelligence

Krueger A.16%

Swiatek I.84%

Wuhan

02:25 PM GMT+3

TenniswonbalancedChatGPTAuto

Gonzalez M. / Molteni A.

FormWLDWW

Cukierman D. / Romboli F.

FormWLWWW

Country: Italy
Tournament: Olbia
Match time: Thu, Oct 15, 15:00 GMT+3
Surface: Hard

ChatGPT pick

Cukierman D. / Romboli F. to win a set

Final result

0-2

Estimated probability: 78%. Cukierman/Romboli took a set in 10/11 completed hard-court partnership matches in the last 30 days, including wins over Jans/Vliegen and Barrientos/Walkow. Gonzalez/Molteni conceded a set in 4/5, including both recent three-set wins. The medium-quality model supports Cukierman/Romboli for the direction. Main risk: they were swept by Paul/Vocel and lost two other current matches, Gonzalez/Molteni just won in straight sets, and there is no H2H; doubles variance remains.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 17:17 GMT+3
- Result: Not set→0-2
- Status: pending→won

Match intelligence

Gonzalez M. / Molteni A.43%

Cukierman D. / Romboli F.57%

Olbia

03:00 PM GMT+3

TenniswonbalancedChatGPTAuto

Kym J.

FormW–WWW

Blanchet U.

FormWWWLW

Country: France
Tournament: Roanne
Match time: Thu, Oct 15, 15:45 GMT+3
Surface: Hard

ChatGPT pick

Kym J. to win a set

Final result

2-0

Estimated probability: 73%. Kym took a set in all 4 completed hard-court matches in the last 30 days, beating Samuel (rank 100), Chidekh (146) and Butvilas (199). Blanchet conceded a set in 3/7 and his four wins were against ranks 465 to 676. Rank 249 versus 305 supports Kym for a set. Main risk: Kym has only four comparable completed matches, three went to a deciding set, Blanchet also took a set in 6/7, and the medium-quality model is essentially even; no H2H is available.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 16:51 GMT+3
- Result: Not set→2-0
- Status: pending→won

Match intelligence

Kym J.49%

Blanchet U.51%

Roanne

03:45 PM GMT+3

TenniswonbalancedChatGPTAuto

Caniato C. A.

FormWLWLW

Moeller M.

FormWLWWL

Country: Italy
Tournament: Catania
Match time: Thu, Oct 15, 16:20 GMT+3
Surface: Clay

ChatGPT pick

Caniato C. A. to win a set

Final result

1-2

Estimated probability: 76%. Caniato took a set in 8/9 completed clay matches in the last 30 days, including wins over Gentzsch (rank 164), Moro Canas (233) and Barrena (224). Moeller conceded a set in 5/10. The high-quality model favours Caniato, while the broader set market avoids requiring a match win. Main risk: Moeller has the better ranking, won 7/10 and also took a set in 9/10; Caniato was swept by Mikrut and no H2H is available.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 18:26 GMT+3
- Result: Not set→1-2
- Status: pending→won

Match intelligence

Caniato C. A.58%

Moeller M.42%

Catania

04:20 PM GMT+3

TenniswonbalancedChatGPTAuto

Li A.

FormWWLWW

Tjen J.

FormWWLWL

Country: China
Tournament: Wuhan
Match time: Thu, Oct 15, 16:20 GMT+3
Surface: Hard

ChatGPT pick

Li A. to win a set

Final result

2-0

Estimated probability: 74%. Li took a set in 3/4 completed hard-court matches in the last 30 days, including wins over Sabalenka (rank 2), Bencic (12) and Krueger (68); her only sweep was against Svitolina (6). Tjen conceded a set in 3/5. Rank 31 versus 47 and the high-quality model support Li for a set. Main risk: four comparable completed matches is a modest sample, Li needed three sets yesterday, and Tjen just beat Snigur and Ito in straight sets; no H2H is available.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 18:00 GMT+3
- Result: Not set→2-0
- Status: pending→won

Match intelligence

Li A.61%

Tjen J.39%

Wuhan

04:20 PM GMT+3

TennislostbalancedChatGPTAuto

Behar A. / Paris J.

FormWLWLL

Paul J. / Vocel M.

FormWLWWW

Country: France
Tournament: Roanne
Match time: Thu, Oct 15, 16:30 GMT+3
Surface: Hard

ChatGPT pick

Paul J. / Vocel M. to win a set

Final result

2-0

Estimated probability: 75%. Paul/Vocel took a set in all 6 completed hard-court partnership matches in the last 30 days, including straight-set wins over Cukierman/Romboli and Bittoun/Masur. Behar/Paris conceded a set in 3/4 and lost 1-2 to Bittoun/Masur. The medium-quality model favours Paul/Vocel for the direction. Main risk: Behar/Paris just won 2-0, their current partnership sample is only four, and there is no H2H; a set is preferred to the narrower winner market amid doubles variance.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 18:22 GMT+3
- Result: Not set→2-0
- Status: pending→lost

Match intelligence

Behar A. / Paris J.33%

Paul J. / Vocel M.67%

Roanne

04:30 PM GMT+3

TennisvoidbalancedChatGPTAuto

Koevermans A.

FormWWWLL

Boskovic L.

FormWWWLL

Country: Italy
Tournament: Rovereto
Match time: Thu, Oct 15, 17:40 GMT+3
Surface: Hard

ChatGPT pick

Boskovic L. to win a set

Final result

0-0

Estimated probability: 69%. Boskovic took a set in 5/6 completed hard-court matches in the last 30 days, most recently straight-set wins over Selekhmeteva (rank 100) and Jacquemot (158). Koevermans conceded a set in 4/6. Boskovic also won their February hard-court H2H 2-0. Main risk: the high-quality match model and rank 249 versus 334 favour Koevermans, who has won her last three; Boskovic was swept by Lemaitre (471). This is a cautious one-set estimate, not a winner call.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 18:17 GMT+3
- Result: Not set→0-0
- Status: pending→void

Match intelligence

Koevermans A.63%

Boskovic L.37%

Rovereto

05:40 PM GMT+3

1 recent head-to-head meeting available

TenniswonbalancedChatGPTAuto

Donnet E.

FormWWWLW

Martineau M.

FormWLLWW

Country: France
Tournament: Roanne
Match time: Thu, Oct 15, 17:40 GMT+3
Surface: Hard

ChatGPT pick

Martineau M. to win a set

Final result

1-2

Estimated probability: 74%. Martineau took a set in 7/8 completed hard-court matches in the last 30 days, including wins over Schoolkate (rank 155) and Schoenhaus (293). Donnet conceded a set in 5/9 and most of his wins came against ranks 618 to 1678. Rank 272 versus 817 and Martineau's 2025 hard-court H2H sweep support the set direction. Main risk: Donnet just swept Mpetshi Perricard (108), won eight of nine, and the match model quality is low; Martineau was swept by Gojo and the H2H is a year old.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 20:05 GMT+3
- Result: Not set→1-2
- Status: pending→won

Match intelligence

Donnet E.38%

Martineau M.62%

Roanne

05:40 PM GMT+3

1 recent head-to-head meeting available

TenniswonbalancedChatGPTAuto

Dodig M.

FormWWWWW

Neumayer L.

FormWLWWW

Country: Portugal
Tournament: Maia
Match time: Thu, Oct 15, 19:55 GMT+3
Surface: Clay

ChatGPT pick

Dodig M. to win a set

Final result

2-1

Estimated probability: 82%. Dodig won all 6 completed clay matches in the last 30 days, beating Martinez (rank 130), Pellegrino (145) and Moller (181). Neumayer conceded a set in 6/8, including their 10 October H2H lost 0-2; Dodig also won the supplied 2025 clay H2H 2-0. The high-quality model agrees with Dodig for the direction. Main risk: Neumayer won 6/8 himself and just beat Moller; Dodig has a busy recent schedule and six matches cannot establish certainty.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 21:58 GMT+3
- Result: Not set→2-1
- Status: pending→won

Match intelligence

Dodig M.64%

Neumayer L.36%

Maia

07:55 PM GMT+3

2 recent head-to-head meetings available

TenniswonbalancedChatGPTAuto

Ruzic A.

FormWLLWW

Andreescu B.

FormWLWWL

Country: Italy
Tournament: Rovereto
Match time: Thu, Oct 15, 20:05 GMT+3
Surface: Hard

ChatGPT pick

Ruzic A. to win a set

Final result

1-2

Estimated probability: 70%. Ruzic took a set in all 6 completed hard-court matches in the last 30 days, beating Kostovic (rank 149), Riera (138) and Valdmannova (162). Rank 93 versus 168 supports her competitive level for a set. Main risk: Andreescu won three of four current matches in straight sets, the low-quality model favours Andreescu, and Ruzic recently lost to Dudeney (236); there is no H2H. The estimate is for a set only and is reduced for that contrary sweep record.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic15 Oct 2026, 23:31 GMT+3
- Result: Not set→1-2
- Status: pending→won

Match intelligence

Ruzic A.42%

Andreescu B.58%

Rovereto

08:05 PM GMT+3

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Mintegi Del Olmo A.

FormWWWWW

Masarova R.

FormWLWWL

Country: Spain
Tournament: Mallorca
Match time: Fri, Oct 16, 13:25 GMT+3
Surface: Clay

ChatGPT pick

Mintegi Del Olmo A. to win a set

Final result

1-2

Estimated probability: 78%. Mintegi Del Olmo won all 10 completed clay matches in the last 30 days, including Sobolieva (rank 167), Ortenzi (155) and Yaneva (146). Masarova conceded a set in 4/6, and Mintegi Del Olmo took a set in their April clay H2H. The high-quality model supports this direction. Main risk: Masarova won that H2H and just beat Noha Akugue (126) 2-0, has the better ranking, and seven of Mintegi Del Olmo's ten wins needed three sets, adding workload and variance.

Published 15 Oct 2026, 06:03 GMT+31 update

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SettledAutomatic16 Oct 2026, 13:57 GMT+3
- Result: Not set→1-2
- Status: pending→won

Match intelligence

Mintegi Del Olmo A.60%

Masarova R.40%

Mallorca

01:25 PM GMT+3

2 recent head-to-head meetings available