TeamRankings.com recently released BracketBrains 2009, a new NCAA tourney analysis service for cappers and players that offers
predictions and picks from a number of advanced algorithmic models.
These guys have been crunching sports data for almost a decade and have
tuned their analysis to ATS, totals, money line value, and even props
with their simulated box scores.
Analysis for three of today's games is free...click here for more info.
Thanks,
C-T
Winning Starts Here
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Hey Guys,
TeamRankings.com recently released BracketBrains 2009, a new NCAA tourney analysis service for cappers and players that offers
predictions and picks from a number of advanced algorithmic models.
These guys have been crunching sports data for almost a decade and have
tuned their analysis to ATS, totals, money line value, and even props
with their simulated box scores.
Analysis for three of today's games is free...click here for more info.
The BracketBrains algorithmic models see Purdue as the likely loser of this game, although generally by a margin of about 5-6 points. The Boilermakers play a slow tempo game (67.7 possessions/game, #204 in D1) and actually outperformed UConn this year in terms of offensive efficiency. Our simulation model has a strong call on the under for this game, although our advanced Adjusted Scoring Margin model (currently 46-31 on totals on a star basis for the 2009 NCAA tourney) actually sees it as a weak-opinion 1-star over. The models also see decent money line value on the Purdue side at +260, as the “fair value” money line based on Purdue’s straight-up win odds should be more in the +140 to +200 range.
#2 Oklahoma (-1, 153) vs. #3 Syracuse
Our algorithmic models see this one as a complete toss up, forecasting close to 50% win odds for each team. However, we rarely see all of our models in agreement on a totals call, yet all of them are forecasting an over for this game. Both of these teams feature offensive efficiencies in the top 10% of D1, defensive efficiencies that are less than stellar, and like to play at a faster pace. Given the close matchup though, the models recommend laying off ATS and money line plays on this game.
Get unbiased and algorithmic betting analysis, picks, and key matchup stats for all NCAA tournament games at BracketBrains.com, a partner of Covers.com.
Winning Starts Here
0
BracketBrains.com Sweet 16 Game Previews
#1 UConn (-6.5, 134) vs. #5 Purdue
The BracketBrains algorithmic models see Purdue as the likely loser of this game, although generally by a margin of about 5-6 points. The Boilermakers play a slow tempo game (67.7 possessions/game, #204 in D1) and actually outperformed UConn this year in terms of offensive efficiency. Our simulation model has a strong call on the under for this game, although our advanced Adjusted Scoring Margin model (currently 46-31 on totals on a star basis for the 2009 NCAA tourney) actually sees it as a weak-opinion 1-star over. The models also see decent money line value on the Purdue side at +260, as the “fair value” money line based on Purdue’s straight-up win odds should be more in the +140 to +200 range.
#2 Oklahoma (-1, 153) vs. #3 Syracuse
Our algorithmic models see this one as a complete toss up, forecasting close to 50% win odds for each team. However, we rarely see all of our models in agreement on a totals call, yet all of them are forecasting an over for this game. Both of these teams feature offensive efficiencies in the top 10% of D1, defensive efficiencies that are less than stellar, and like to play at a faster pace. Given the close matchup though, the models recommend laying off ATS and money line plays on this game.
Get unbiased and algorithmic betting analysis, picks, and key matchup stats for all NCAA tournament games at BracketBrains.com, a partner of Covers.com.
The BracketBrains algorithmic models see Purdue as the likely loser of this game, although generally by a margin of about 5-6 points. The Boilermakers play a slow tempo game (67.7 possessions/game, #204 in
D1) and actually outperformed UConn this year in terms of offensive efficiency. Our simulation model has a strong call on the under for this game, although our advanced Adjusted Scoring Margin model (currently 46-31 on totals on a star basis for the 2009 NCAA tourney) actually sees it as a weak-opinion 1-star over. The models also see decent money line value on the Purdue side at +260, as the “fair value” money line based on Purdue’s straight-up win odds should be more in the +140 to +200 range.
#2 Oklahoma (-1, 153) vs. #3 Syracuse
Our algorithmic models see this one as a complete toss up, forecasting close to 50% win odds for each team. However, we rarely see all of our models in agreement on a totals call, yet all of them are forecasting an over for this game. Both of these teams feature offensive efficiencies in the top 10% of D1, defensive efficiencies that are less than stellar, and like to play at a faster pace. Given the close matchup though, the models recommend laying off ATS and money line plays on this game.
Get unbiased and algorithmic betting analysis, picks, and key matchup stats for all NCAA tournament games at BracketBrains.com, a partner of Covers.com.
The BracketBrains algorithmic models see Purdue as the likely loser of this game, although generally by a margin of about 5-6 points. The Boilermakers play a slow tempo game (67.7 possessions/game, #204 in
D1) and actually outperformed UConn this year in terms of offensive efficiency. Our simulation model has a strong call on the under for this game, although our advanced Adjusted Scoring Margin model (currently 46-31 on totals on a star basis for the 2009 NCAA tourney) actually sees it as a weak-opinion 1-star over. The models also see decent money line value on the Purdue side at +260, as the “fair value” money line based on Purdue’s straight-up win odds should be more in the +140 to +200 range.
#2 Oklahoma (-1, 153) vs. #3 Syracuse
Our algorithmic models see this one as a complete toss up, forecasting close to 50% win odds for each team. However, we rarely see all of our models in agreement on a totals call, yet all of them are forecasting an over for this game. Both of these teams feature offensive efficiencies in the top 10% of D1, defensive efficiencies that are less than stellar, and like to play at a faster pace. Given the close matchup though, the models recommend laying off ATS and money line plays on this game.
Get unbiased and algorithmic betting analysis, picks, and key matchup stats for all NCAA tournament games at BracketBrains.com, a partner of Covers.com.
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