No help here last week (5-7-1, .417). Supplying only some small rank-value; two winners in the top three. For the whole of 2024 it’s 32-38-2 (.466); a tough year thus far. Still eight weeks left though. The box likes these this week: 1) OregonState(-3)/Nevada 2) Vanderbilt(+13.5)/Kentucky 3) SanDiegoSt(+1)/Wyoming 4) Wisconsin(+3)/Rutgers 5) NoIllinois (+3)/BowlingGreen 6) OldDominion(+2)/GeorgiaSt 7) MiddleTenn(+5)/LouisianaTech L 8) NewMexico(-4.5)/AirForce
How about some idle tech talk? I use the term SpreadMargin (SM) to define how much a team covers, or fails to cover. In general, I use SM as an adjunct to ATS wins and losses. It speaks to how competitive the system is, but is also probably best-used when a capper has reasonable best-bet volume.
Anyway, my database (2013-23, 6844 games) has the Mean SpreadMargin at 12.3, carrying a Std. Dev. of 9.6. Both that Mean & SD are large. Which begs the question. Given that level of volatility, how viable is the historical database for prediction-making purposes? I am "forever learning" the craft, but those numbers provide a genuine appreciation for the task at hand. Suffice to say; prediction is a daunting hobby....
52 on the board this week. There were 49 last week, so a sweeter opportunity pool for all the magic to take place. Good luck, TheKingfish
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To remove first post, remove entire topic.
No help here last week (5-7-1, .417). Supplying only some small rank-value; two winners in the top three. For the whole of 2024 it’s 32-38-2 (.466); a tough year thus far. Still eight weeks left though. The box likes these this week: 1) OregonState(-3)/Nevada 2) Vanderbilt(+13.5)/Kentucky 3) SanDiegoSt(+1)/Wyoming 4) Wisconsin(+3)/Rutgers 5) NoIllinois (+3)/BowlingGreen 6) OldDominion(+2)/GeorgiaSt 7) MiddleTenn(+5)/LouisianaTech L 8) NewMexico(-4.5)/AirForce
How about some idle tech talk? I use the term SpreadMargin (SM) to define how much a team covers, or fails to cover. In general, I use SM as an adjunct to ATS wins and losses. It speaks to how competitive the system is, but is also probably best-used when a capper has reasonable best-bet volume.
Anyway, my database (2013-23, 6844 games) has the Mean SpreadMargin at 12.3, carrying a Std. Dev. of 9.6. Both that Mean & SD are large. Which begs the question. Given that level of volatility, how viable is the historical database for prediction-making purposes? I am "forever learning" the craft, but those numbers provide a genuine appreciation for the task at hand. Suffice to say; prediction is a daunting hobby....
52 on the board this week. There were 49 last week, so a sweeter opportunity pool for all the magic to take place. Good luck, TheKingfish
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