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
35
Date record
24-9
Date hit rate
73%
Date units
-9.0
Thursday, August 13, 2026 · ChatGPT · All sports · All results · 1 pending · 1 void
All-time performance
ChatGPT · All sports · All dates
Published picks
1765
Record
1233-407
Settled hit rate
75%
Flat-stake units
-406.7
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Daily board
Every selection stays in the public record after settlement.
Bar Biryukov P.
Cui J.
ChatGPT pick
Estimated probability: 88%. Bar Biryukov won a set in all 9 recent hard-court matches, won all 9 matches, and holds the ranking edge at 285 versus 450. Main risk: There is no H2H and the match-winner model is only 64%.
Manila Batang Quiapo
Marikina Shoemasters
ChatGPT pick
Estimated probability: 67%. The model gives Marikina 70% with a 6.1-point projected margin; Manila allowed 111.3 points per game and won only 1 of 10 recently. Main risk: Marikina won only 3 of 10 and there is no H2H.
Match intelligence
The full match page is available; model percentages are still being calculated.
MPBL
10:00 AM GMT+3
1 recent head-to-head meeting available
Dougaz A.
Dhamne M.
ChatGPT pick
Estimated probability: 86%. Dougaz won a set in 9 of 10 recent hard-court matches and won 8 of those matches; the match model still favors him at 62%. Main risk: He is ranked below Dhamne and there is no H2H.
Kumstat J.
Houkes M.
ChatGPT pick
Estimated probability: 89%. Kumstat won a set in all 9 recent clay matches and won 8 of 9, with fresh full-sample data. Main risk: Houkes is higher-ranked and also won a set in 9 of 10.
Paranaque Patriots
Quezon Huskers
ChatGPT pick
Estimated probability: 86%. The model gives Quezon 90% with a 15.9-point projected margin; Quezon won 7 of 10 while Paranaque won only 1 and allowed 105.6 points per game. Main risk: There is no H2H sample.
Match intelligence
The full match page is available; model percentages are still being calculated.
MPBL
12:00 PM GMT+3
1 recent head-to-head meeting available
KIA Tigers
Samsung Lions
ChatGPT pick
Estimated probability: 78%. The model projects 12.8 runs; the line cleared in 16 of the teams’ combined 20 recent games and 6 of 10 H2Hs. Main risk: Samsung stayed under in 4 of 10 recent games.
Match intelligence
KBO
01:00 PM GMT+3
10 recent head-to-head meetings available
Kiwoom Heroes
LG Twins
ChatGPT pick
Estimated probability: 69%. The model projects 13.16 runs and the line cleared in 12 of the teams’ combined 20 recent games plus 5 of 10 H2Hs. Main risk: The empirical clearance rates are only 60% combined and 50% in H2H.
Match intelligence
KBO
01:00 PM GMT+3
10 recent head-to-head meetings available
NC Dinos
KT Wiz Suwon
ChatGPT pick
Estimated probability: 82%. The model projects 11.52 runs; the line cleared in 16 of the teams’ combined 20 recent games and 8 of 10 H2Hs. Main risk: KT stayed under in 4 of 10 recent games.
Match intelligence
KBO
01:00 PM GMT+3
10 recent head-to-head meetings available
Pasig City
Negros Hacienderos
ChatGPT pick
Estimated probability: 69%. The model gives Pasig 73% with a 7-point projected margin; Negros won only 1 of 10 and allowed 100.8 points per game. Main risk: Pasig won only 4 of 10 and there is no H2H.
Match intelligence
The full match page is available; model percentages are still being calculated.
MPBL
02:00 PM GMT+3
Dodig M.
Molleker R.
ChatGPT pick
Estimated probability: 89%. Dodig won a set in 9 of 10 recent clay matches, won 7 of 10, and is ranked 257 versus 488. Main risk: There is no H2H and Molleker also won a set in 9 of 10.
Da Nang Dragons
Nhatrang Dolphins
ChatGPT pick
Estimated probability: 84%. The model gives Nhatrang 87% with a 13.7-point projected margin; Da Nang lost all 10 recent games and Nhatrang won all 10 H2Hs. Main risk: Nhatrang won only 6 of 10 recent games overall.
Match intelligence
The full match page is available; model percentages are still being calculated.
VBA
03:30 PM GMT+3
10 recent head-to-head meetings available
Andijan
Neftchi Fargona
ChatGPT pick
Estimated probability: 70%. The model gives Neftchi 71%; the league leaders are 12-3-1 with a 38:6 scoring record and won the three latest H2Hs without conceding. Main risk: This is an away match and Neftchi drew three of their last ten.
Match intelligence
Super League
05:00 PM GMT+3
10 recent head-to-head meetings available
Vandecasteele Q.
Shelbayh A.
ChatGPT pick
Estimated probability: 85%. Shelbayh won a set in 8 of 9 recent hard-court matches, is ranked 267 versus 471, and the match model gives him 65%. Main risk: There is no H2H and his recent match win rate is only 5 of 9.
Landaluce M.
Draper J.
ChatGPT pick
Estimated probability: 68%. The model gives Landaluce 71%; he is ranked 64 versus 143 and has six recent hard-court wins to Draper’s five from nine. Main risk: There is no H2H and the recent-form edge is modest.
Vandewinkel H.
Sramkova R.
ChatGPT pick
Estimated probability: 91%. Vandewinkel won a set in all 9 recent hard-court matches, won 8 of 9, and holds the ranking edge at 93 versus 143. Main risk: There is no H2H and the match-winner model is only 58%.
Vidmanova D.
Kalinina A.
ChatGPT pick
Estimated probability: 92%. Vidmanova won a set in all 10 recent hard-court matches and won 8 of 10, while the match model rates her at 65%. Main risk: Kalinina is higher-ranked and there is no H2H.
Buxoro
OKMK
ChatGPT pick
Estimated probability: 70%. BTTS landed in 15 of the teams’ combined 20 recent matches and 7 of 10 H2Hs; OKMK scored and conceded in 9 of 10. Main risk: Buxoro failed to score twice recently and have a better defensive home split.
Match intelligence
Super League
06:30 PM GMT+3
10 recent head-to-head meetings available
Kozlov S.
Wendelken H.
ChatGPT pick
Estimated probability: 75%. The model gives Wendelken 79%; he is ranked 201 versus 295, has the stronger recent hard-court record, and won their available H2H 2-1. Main risk: His recent hard-court win rate is only 5 of 9.
Match intelligence
Brownsburg
07:40 PM GMT+3
1 recent head-to-head meeting available
ML Vitebsk (BLR)
Borac Banja Luka (BIH)
ChatGPT pick
Estimated probability: 70%. The model projects 3.90 goals with a 73% over probability, while 14 of the teams’ combined 20 recent matches cleared the line. Main risk: The only H2H sample finished 0-0.
Match intelligence
Conference League
08:00 PM GMT+3
1 recent head-to-head meeting available
Rochester Red Wings
Charlotte Knights
ChatGPT pick
Estimated probability: 66%. The model is 65% before contextual adjustment; Rochester won 7 of 10 versus Charlotte’s 5 and won 6 of 10 H2Hs, with a 2.48-run projected margin. Main risk: The final edge is narrow and Charlotte split its recent ten.
Match intelligence
IL - Second stage
08:05 PM GMT+3
10 recent head-to-head meetings available
Detroit Tigers
Cleveland Guardians
ChatGPT pick
Estimated probability: 67%. The model gives Detroit 68% with a 3.1-run projected margin; Detroit won 7 of 10 while Cleveland won 3 of 10. Main risk: Detroit won only 3 of the last 10 H2Hs.
Match intelligence
MLB
08:10 PM GMT+3
10 recent head-to-head meetings available
Vikingur Reykjavik (ICE)
Thun (SUI)
ChatGPT pick
Estimated probability: 75%. The model projects 3.95 goals and 75% for the over; 15 of the teams’ combined 20 recent matches cleared 2.5. Main risk: There is only one H2H sample.
Match intelligence
Europa League
08:30 PM GMT+3
1 recent head-to-head meeting available
Ruzic A.
Frech M.
ChatGPT pick
Estimated probability: 94%. Frech won a set in all 10 recent hard-court matches, holds the ranking edge at 45 versus 56, and the match model favors her at 68%. Main risk: She won only 5 of those 10 matches and there is no H2H.
Aegir
Volsungur
ChatGPT pick
Estimated probability: 82%. The model projects 4.61 goals with an 83% over probability; both teams cleared the line in 8 of 10 recent matches and 8 of 9 H2Hs did too. Main risk: One recent H2H was a 0-0 and lower-league scoring is volatile.
Match intelligence
Division 1
09:00 PM GMT+3
9 recent head-to-head meetings available
Al Diriyah
Al Ahli SC
ChatGPT pick
Estimated probability: 72%. The model projects 3.48 goals and 71% for the over, supported by 15 clearances across the teams’ combined 20 recent matches. Main risk: No H2H sample is available.
Match intelligence
Saudi Professional League
09:00 PM GMT+3
Grindavik
Throttur
ChatGPT pick
Estimated probability: 75%. The model gives Throttur 79%; they sit second versus tenth, have six recent wins to Grindavik’s two, and won six of the last ten H2Hs. Main risk: Throttur are away and drew their latest match.
Match intelligence
Division 1
09:00 PM GMT+3
10 recent head-to-head meetings available
Gyor (HUN)
Riga FC (LAT)
ChatGPT pick
Estimated probability: 70%. The model projects 3.71 goals and 71% for the over, with 14 clearances across the teams’ combined 20 recent matches. Main risk: The only H2H sample stayed under.
Match intelligence
Conference League
09:30 PM GMT+3
1 recent head-to-head meeting available
Hearts (SCO)
Benfica (POR)
ChatGPT pick
Estimated probability: 76%. The model projects 3.66 goals and 77% for the over; 17 of the teams’ combined 20 recent matches cleared the line. Main risk: There is only one H2H sample.
Match intelligence
Europa League
09:45 PM GMT+3
1 recent head-to-head meeting available
Egnatia (ALB)
Shamrock Rovers (IRL)
ChatGPT pick
Estimated probability: 69%. The model projects 3.52 goals and 69% for the over, supported by 14 clearances across the teams’ combined 20 recent matches. Main risk: Prediction quality is medium and only one H2H is available.
Match intelligence
Europa League
10:00 PM GMT+3
1 recent head-to-head meeting available
Hajduk Split (CRO)
Zalgiris (LTU)
ChatGPT pick
Estimated probability: 70%. The model projects 3.43 goals and 70% for the over; 15 of the teams’ combined 20 recent matches cleared 2.5. Main risk: There is only one H2H sample and Hajduk cleared the line in only 6 of 10 recently.
Match intelligence
Conference League
10:00 PM GMT+3
1 recent head-to-head meeting available
Grotta
Njardvik
ChatGPT pick
Estimated probability: 72%. The model gives BTTS 73%; it landed in 14 of the teams’ combined 20 recent matches and 8 of 10 H2Hs. Main risk: Njardvik missed BTTS in 4 of 10 recent matches.
Match intelligence
Division 1
10:15 PM GMT+3
10 recent head-to-head meetings available
Kopavogur
Leiknir
ChatGPT pick
Estimated probability: 68%. The model projects 3.91 goals and 68% for the over; 14 of the teams’ combined 20 recent matches and 6 of 10 H2Hs cleared it. Main risk: The model edge is modest despite the high goal projection.
Match intelligence
Division 1
10:15 PM GMT+3
10 recent head-to-head meetings available
Ugo Carabelli C.
Kecmanovic M.
ChatGPT pick
Estimated probability: 92%. Kecmanovic won a set in all 9 recent hard-court matches, is ranked 62 versus 76, and the match model gives him 69%. Main risk: He won only 4 of those 9 matches and there is no H2H.
Match intelligence
Cincinnati
11:25 PM GMT+3
1 recent head-to-head meeting available
Bucsa C.
Udvardy P.
ChatGPT pick
Estimated probability: 78%. The model gives Bucsa 83%; she is ranked 40 versus 76 and won 6 of 9 recent hard-court matches compared with Udvardy’s 3 of 9. Main risk: There is no H2H and the surface sample is nine matches each.
Gill F.
Pinnington Jones J.
ChatGPT pick
Estimated probability: 89%. Gill won a set in 9 of 10 recent hard-court matches and won 7 of 10, while the match model gives him 67%. Main risk: Pinnington Jones is higher-ranked and there is no H2H.
Match intelligence
Brownsburg
02:30 AM GMT+3
2 recent head-to-head meetings available
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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