A focused selection across football, tennis, basketball and baseball. Every pick is clearly attributed to SMOANCE Human, ChatGPT or Claude and permanently tracked after settlement.
Selected-date picks
39
Date record
21-12
Date hit rate
64%
Date units
-12.0
Thursday, August 27, 2026 · ChatGPT · All sports · All results · 4 pending · 2 void
All-time performance
ChatGPT · All sports · All dates
Published picks
1765
Record
1244-407
Settled hit rate
75%
Flat-stake units
-406.7
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Daily board
Every selection stays in the public record after settlement.
Monday J.
Ribecai M.
ChatGPT pick
Estimated probability: 88%. Ribecai M. won a set in 9 of 10 recent completed hard-court matches, won 7, and has a 64% modeled match-win probability. Main risk: there is no direct H2H.
Montes-De La Torre I.
Loffhagen G.
ChatGPT pick
Estimated probability: 89%. Montes-De La Torre I. won a set in 9 of 10 recent completed hard-court matches, won 8, and has a 63% modeled match-win probability. Main risk: there is no direct H2H.
Match intelligence
Roehampton 2
02:30 PM GMT+3
Tarvet O.
Hudd E.
ChatGPT pick
Estimated probability: 90%. Tarvet O. won a set in 9 of 10 recent completed hard-court matches, won 9, and has a 62% modeled match-win probability. Main risk: one recent match was a straight-set loss.
Match intelligence
Roehampton 2
04:00 PM GMT+3
1 recent head-to-head meeting available
Basing M.
Broom C.
ChatGPT pick
Estimated probability: 92%. Broom C. won a set in 10 of 10 recent completed hard-court matches, won 9, and has a 56% modeled match-win probability. Main risk: the only H2H is from 2020.
Match intelligence
Roehampton 2
04:25 PM GMT+3
1 recent head-to-head meeting available
KuPS (FIN)
Shamrock Rovers (IRL)
ChatGPT pick
Estimated probability: 81%. KuPS and Shamrock Rovers each scored in 8 of 10 recent completed matches and both conceded in 9 of 10; the only H2H had both teams score and the model gives BTTS 69%. Main risk: the direct sample is one match.
Match intelligence
Conference League
06:00 PM GMT+3
1 recent head-to-head meeting available
Wong C.
Lajovic D.
ChatGPT pick
Estimated probability: 86%. Lajovic D. won a set in 9 of 9 recent completed hard-court matches, won 6, and has a 42% modeled match-win probability. Main risk: the sample contains nine matches, there is no H2H, and the model gives him only 42% match-win probability.
Samuel T.
Garin C.
ChatGPT pick
Estimated probability: 91%. Samuel T. won a set in 9 of 10 recent completed hard-court matches, won 9, and has a 72% modeled match-win probability. Main risk: there is no H2H and one recent match was a straight-set loss.
Dougaz A.
Guerrieri A.
ChatGPT pick
Estimated probability: 85%. Dougaz A. won a set in 10 of 10 recent completed hard-court matches, won 8, and has a 50% modeled match-win probability. Main risk: model quality is low and he lost the 2020 H2H in straight sets.
Match intelligence
Us Open
06:55 PM GMT+3
1 recent head-to-head meeting available
Maccabi Tel Aviv (ISR)
Lugano (SUI)
ChatGPT pick
Estimated probability: 89%. Lugano (SUI) scored in 10 of 10 recent completed matches, Maccabi Tel Aviv (ISR) conceded in 6 of 10, and the medium-quality model projects 2.65 away goals. Main risk: only one H2H is available and Maccabi kept four recent clean sheets.
Match intelligence
Conference League
07:00 PM GMT+3
1 recent head-to-head meeting available
Iberia 1999 (GEO)
Jagiellonia (POL)
ChatGPT pick
Estimated probability: 88%. Jagiellonia (POL) scored in 9 of 10 recent completed matches, Iberia 1999 (GEO) conceded in 9 of 10, and the medium-quality model projects 1.73 away goals. Main risk: only one H2H is available and model quality is medium.
Match intelligence
Europa League
07:00 PM GMT+3
1 recent head-to-head meeting available
Ararat-Armenia (ARM)
Univ. Craiova (ROU)
ChatGPT pick
Estimated probability: 86%. Ararat-Armenia (ARM) scored in 9 of 10 recent completed matches, Univ. Craiova (ROU) conceded in 9 of 10, and the medium-quality model projects 1.64 home goals. Main risk: model quality is medium and only one H2H is available.
Match intelligence
Europa League
07:00 PM GMT+3
1 recent head-to-head meeting available
Monaco (FRA)
Gornik Zabrze (POL)
ChatGPT pick
Estimated probability: 82%. Gornik Zabrze (POL) scored in 8 of 10 recent completed matches, Monaco (FRA) conceded in 8 of 10, and the medium-quality model projects 1.43 away goals. Main risk: model quality is medium and only one H2H is available.
Match intelligence
Conference League
07:45 PM GMT+3
1 recent head-to-head meeting available
Rakow (POL)
Hajduk Split (CRO)
ChatGPT pick
Estimated probability: 84%. Rakow (POL) scored in 9 of 10 recent completed matches, Hajduk Split (CRO) conceded in 7 of 10, and the medium-quality model projects 1.57 home goals. Main risk: model quality is medium and only one H2H is available.
Match intelligence
Conference League
08:00 PM GMT+3
1 recent head-to-head meeting available
Plzen (CZE)
Crvena zvezda (SRB)
ChatGPT pick
Estimated probability: 87%. Crvena zvezda (SRB) scored in 8 of 10 recent completed matches, Plzen (CZE) conceded in 9 of 10, and the medium-quality model projects 2.19 away goals. Main risk: only one H2H is available and the modeled away-win probability is 54%.
Match intelligence
Europa League
08:00 PM GMT+3
1 recent head-to-head meeting available
Hradec Kralove (CZE)
Panathinaikos (GRE)
ChatGPT pick
Estimated probability: 88%. Panathinaikos (GRE) scored in 10 of 10 recent completed matches, Hradec Kralove (CZE) conceded in 8 of 10, and the medium-quality model projects 1.64 away goals. Main risk: only one H2H is available and model quality is medium.
Match intelligence
Conference League
08:00 PM GMT+3
1 recent head-to-head meeting available
Riga FC (LAT)
Klaksvik (FAI)
ChatGPT pick
Estimated probability: 86%. Riga FC (LAT) scored in 9 of 10 recent completed matches, Klaksvik (FAI) conceded in 7 of 10, and the medium-quality model projects 2.32 home goals. Main risk: only one H2H is available and model quality is medium.
Match intelligence
Conference League
08:00 PM GMT+3
1 recent head-to-head meeting available
Brann (NOR)
PAOK (GRE)
ChatGPT pick
Estimated probability: 81%. Brann and PAOK each scored in 9 of 10 recent completed matches, their opponents conceded in 7 and 8 of 10, and both H2Hs had both teams score; the model gives BTTS 68%. Main risk: the direct sample contains only two meetings.
Match intelligence
Conference League
08:00 PM GMT+3
2 recent head-to-head meetings available
Inter Escaldes (AND)
Drita (KOS)
ChatGPT pick
Estimated probability: 84%. Both sides scored in 9 of 10 recent completed matches and conceded in 9 and 8 of 10; both H2Hs had both teams score and the model gives BTTS 69%. Main risk: the direct sample contains only two meetings.
Match intelligence
Conference League
08:00 PM GMT+3
2 recent head-to-head meetings available
Mayo A.
Martin A.
ChatGPT pick
Estimated probability: 86%. Martin A. won a set in 9 of 10 recent completed hard-court matches, won 7, and has a 58% modeled match-win probability. Main risk: there is no direct H2H.
Thun (SUI)
Lech Poznan (POL)
ChatGPT pick
Estimated probability: 90%. Lech Poznan (POL) scored in 9 of 10 recent completed matches, Thun (SUI) conceded in 8 of 10, and the medium-quality model projects 2.93 away goals. Main risk: only one H2H is available and model quality is medium.
Match intelligence
Europa League
09:00 PM GMT+3
1 recent head-to-head meeting available
Aarhus (DEN)
Benfica (POR)
ChatGPT pick
Estimated probability: 91%. Benfica (POR) scored in 10 of 10 recent completed matches, Aarhus (DEN) conceded in 9 of 10, and the medium-quality model projects 2.56 away goals. Main risk: model quality is medium and the H2H sample contains three matches.
Match intelligence
Europa League
09:00 PM GMT+3
3 recent head-to-head meetings available
St. Gallen (SUI)
Nordsjaelland (DEN)
ChatGPT pick
Estimated probability: 88%. Nordsjaelland (DEN) scored in 9 of 10 recent completed matches, St. Gallen (SUI) conceded in 9 of 10, and the medium-quality model projects 1.78 away goals. Main risk: only one H2H is available and model quality is medium.
Match intelligence
Conference League
09:00 PM GMT+3
1 recent head-to-head meeting available
Ajax (NED)
Sion (SUI)
ChatGPT pick
Estimated probability: 82%. Ajax cleared 2.5 goals in 8 of 10 recent completed matches, Sion in 9 of 10, and the model gives Over 2.5 an 81% probability with 4.13 expected goals. Main risk: model quality is medium and only one H2H is available.
Match intelligence
Conference League
09:00 PM GMT+3
1 recent head-to-head meeting available
Bonzi B.
Van De Zandschulp B.
ChatGPT pick
Estimated probability: 85%. Van De Zandschulp B. won a set in 8 of 10 recent completed hard-court matches, won 7, and has a 64% modeled match-win probability. Main risk: he failed to win a set twice and the three H2Hs are split.
Match intelligence
Winston Salem
09:10 PM GMT+3
3 recent head-to-head meetings available
Chelsea
Luton
ChatGPT pick
Estimated probability: 86%. Luton scored in 9 of 10 recent completed matches, Chelsea conceded in 9 of 10, and the high-quality model projects 2.06 away goals. Main risk: Luton has only a 47% modeled match-win probability and just 5 of 10 H2Hs had both teams score.
Match intelligence
EFL Cup
09:30 PM GMT+3
10 recent head-to-head meetings available
Borac Banja Luka (BIH)
Vikingur Reykjavik (ICE)
ChatGPT pick
Estimated probability: 88%. Borac Banja Luka (BIH) scored in 9 of 10 recent completed matches, Vikingur Reykjavik (ICE) conceded in 9 of 10, and the medium-quality model projects 1.94 home goals. Main risk: model quality is medium and only two H2Hs are available.
Match intelligence
Conference League
09:30 PM GMT+3
2 recent head-to-head meetings available
Austria Vienna (AUT)
Braga (POR)
ChatGPT pick
Estimated probability: 84%. Braga (POR) scored in 9 of 10 recent completed matches, Austria Vienna (AUT) conceded in 7 of 10, and the medium-quality model projects 1.68 away goals. Main risk: model quality is medium and only one H2H is available.
Match intelligence
Conference League
09:30 PM GMT+3
1 recent head-to-head meeting available
Anderlecht (BEL)
Kairat Almaty (KAZ)
ChatGPT pick
Estimated probability: 84%. Anderlecht (BEL) scored in 9 of 10 recent completed matches, Kairat Almaty (KAZ) conceded in 8 of 10, and the medium-quality model projects 1.55 home goals. Main risk: model quality is medium and only one H2H is available.
Match intelligence
Europa League
09:30 PM GMT+3
1 recent head-to-head meeting available
Celta Vigo
Osasuna
ChatGPT pick
Estimated probability: 82%. Celta Vigo scored in 9 of 10 recent completed matches, Osasuna conceded in 8 of 10, and the high-quality model projects 1.38 home goals. Main risk: the expected-goal cushion is modest and the modeled home-win probability is 46%.
Match intelligence
LaLiga
09:30 PM GMT+3
10 recent head-to-head meetings available
Boreham Wood
Boston Utd
ChatGPT pick
Estimated probability: 86%. Boreham Wood scored in 10 of 10 recent completed matches, Boston Utd conceded in 6 of 10, and the high-quality model projects 1.97 home goals. Main risk: Boston kept four recent clean sheets and only two H2Hs are available.
Match intelligence
National League
09:45 PM GMT+3
2 recent head-to-head meetings available
Caen
Bastia
ChatGPT pick
Estimated probability: 87%. Caen scored in 9 of 10 recent completed matches, Bastia conceded in 7 of 10, and the high-quality model projects 2.19 home goals. Main risk: Caen was scoreless once and its modeled match-win probability is 63%.
Match intelligence
National
09:45 PM GMT+3
10 recent head-to-head meetings available
Barcelona
Ath Bilbao
ChatGPT pick
Estimated probability: 82%. Ath Bilbao scored in 9 of 10 recent completed matches, Barcelona conceded in 8 of 10, and the high-quality model projects 1.36 away goals. Main risk: Ath Bilbao has only a 23% modeled match-win probability and the expected-goal cushion is modest.
Match intelligence
LaLiga
10:00 PM GMT+3
10 recent head-to-head meetings available
Purcell M.
Andrade A.
ChatGPT pick
Estimated probability: 85%. Purcell M. won a set in 8 of 8 recent completed hard-court matches, won 7, and has a 49% modeled match-win probability. Main risk: the sample contains only eight matches, model quality is low, and there is no H2H.
Gea A.
Basavareddy N.
ChatGPT pick
Estimated probability: 92%. Gea A. won a set in 10 of 10 recent completed hard-court matches, won 9, and has a 67% modeled match-win probability. Main risk: there is no direct H2H.
Piros Z.
O'Connell C.
ChatGPT pick
Estimated probability: 88%. Piros Z. won a set in 9 of 9 recent completed hard-court matches, won 8, and has a 60% modeled match-win probability. Main risk: the sample contains nine matches and the four H2Hs were played on clay, not hard.
Match intelligence
Us Open
06:05 PM GMT+3
4 recent head-to-head meetings available
Bandecchi S.
Rus A.
ChatGPT pick
Estimated probability: 92%. Bandecchi S. won a set in 9 of 10 recent completed hard-court matches, won 9, and has a 80% modeled match-win probability. Main risk: the H2H is from 2021.
Match intelligence
Us Open
06:05 PM GMT+3
1 recent head-to-head meeting available
Gaubas V.
Wendelken H.
ChatGPT pick
Estimated probability: 83%. Gaubas V. won a set in 8 of 10 recent completed hard-court matches, won 7, and has a 56% modeled match-win probability. Main risk: he failed to win a set twice and there is no H2H.
Nishikori K.
Sakamoto R.
ChatGPT pick
Estimated probability: 89%. Sakamoto R. won a set in 9 of 10 recent completed hard-court matches, won 7, and has a 73% modeled match-win probability. Main risk: there is no H2H and one recent match was a straight-set loss.
Yuan Y.
Stoiana M.
ChatGPT pick
Estimated probability: 86%. Yuan Y. won a set in 10 of 10 recent completed hard-court matches, won 5, and has a 52% modeled match-win probability. Main risk: she won only 5 of the 10 matches and there is no H2H.
Won, lost, void and pending selections all remain visible. Flat-stake units use one unit per pick and the listed decimal odds.
Human and automated picks are informational opinions, not financial advice or guaranteed outcomes. If you choose to bet, use limits and only risk what you can afford to lose. 18+.
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