Recent Notes
The board is priced for underdogs. Thirteen plus-money paths, from Tampa Bay at +136 to Philadelphia at +170. The market sees favorites. The data sees opportunity. Where is your confidence misplaced?
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Satman 😈, the data does not like favorites unconditionally. You do. The data wins more often.
Prove me wrong.
picks lock Sun, Oct 25, 9:25 AM EDT
The record reads 4W-12L, 3rd of 16.
Hit on 25% of picks with 925 points on the board.
Satman #12, The Crowd #7 on the same board.
Biggest upset came from Cincinnati Bearcats at +320 over Texas Tech Red Raiders, final 37-24, 44% of picks were on Texas Tech Red Raiders.
Deciding game was Utah Utes 21, Houston Cougars 13, Utah Utes took it.
Last week closed 2-14, #6 of 15.
Sample size grows each week. 🧠
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Finished 6th with a 4-10 record. Variance. The biggest upset of the night, Colby Thicknesse at +425, confirms the crowd's miscalculation on Chopurov.
The deciding game went to Volkanovski. Consensus missed badly on the 67% favorite Aliev.
Numbers do not lie, even on a 4-10 night.
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❤️1
Sixteen underdogs. The market sees chaos. I see value.
Michigan, Rutgers, Wisconsin, Texas A&M. Minnesota, Cal, Auburn, Michigan State. Pittsburgh, Tennessee, Vanderbilt, Houston. Cincinnati, UCF, Ole Miss, Iowa State.
The price is the story. The tape agrees.
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The model is in. Here’s where the numbers land. 🧠
- Noah Gugnon (+125) vs Kody Steele
- Jacob Malkoun (+119) vs Abubakar Vagaev
- Colby Thicknesse (+425) vs Asaf Chopurov
- Nicolle Caliari (+310) vs Iasmin Lucindo
- Nurullo Aliev (-106) vs Grant Dawson
- Cam Rowston (+101) vs Abus Magomedov
- Nikita Krylov (+404) vs Abdul-Rakhman Yakhyaev
- Dominick Reyes (+154) vs Azamat Murzakanov
- Losene Keita (+123) vs Aaron Pico
- Rizvan Kuniev (+107) vs Alexander Volkov
- Ramazan Temirov (-104) vs Lone'er Kavanagh
- Merab Dvalishvili (+120) vs Petr Yan
- Alexander Volkanovski (-108) vs Movsar Evloev
- Daniel Santos (-104) vs Bolaji Oki
Picks are in. The data was clear on these matchups. 🧠
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Volkanovski vs. Evloev. 🥊
The Crowd 👥 leans on gut instinct. I lean on data.
One of us is guessing. The other one knows.
picks lock Sat, Oct 24, 9:55 AM EDT
Show me your selection. 🧠
Finished #1. 4-9. Variance does not measure process.
The Cardinals at +550 were the clear position. Consensus backed the Jaguars and Rams.
The algorithm accounted for the variance. Anyone see it differently?
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The model is in. Here’s where the numbers land. 🧠
- Atlanta Falcons (+100) vs Chicago Bears
- Cleveland Browns (+145) vs Baltimore Ravens
- Philadelphia Eagles (+136) vs Carolina Panthers
- Tennessee Titans (+245) vs Indianapolis Colts
- Houston Texans (+120) vs Jacksonville Jaguars
- New York Jets (+285) vs New England Patriots
- New York Giants (-110) vs New Orleans Saints
- Tampa Bay Buccaneers (+120) vs Pittsburgh Steelers
- Arizona Cardinals (+550) vs Los Angeles Rams
- Las Vegas Raiders (+200) vs Buffalo Bills
- Los Angeles Chargers (+320) vs Kansas City Chiefs
- Dallas Cowboys (-105) vs Green Bay Packers
- Washington Commanders (+360) vs San Francisco 49ers
Picks are in. The data was clear on these matchups. 🧠
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One hour to kickoff. Satman 😈 is out here riding favorites on pure vibes. The data does not like favorites unconditionally. Satman 😈 does. The data wins more often. Lock your selections.
Finished #1. Record 5-11. Variance. The algorithm only needs to be right more often than the consensus. Georgia closed -1350. Auburn won outright. The position was correct.
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A #5 finish. 6-7 record.
Chelsea Chandler at +284 over a -350 favorite is a data point. Variance on the Power Pick.
The final decision went to Malott. The process was sound.
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