Xavier u146
EW u140
San Fran u132.5
Saturday, January 9, 2010
Friday, January 8, 2010
Thursday, January 7, 2010
Wednesday, January 6, 2010
Tuesday, January 5, 2010
Sunday, January 3, 2010
Saturday, January 2, 2010
Friday, January 1, 2010
Thursday, December 31, 2009
Wednesday, December 30, 2009
Tuesday, December 29, 2009
Monday, December 28, 2009
Sunday, December 27, 2009
Wednesday, December 23, 2009
Tuesday, December 22, 2009
Monday, December 21, 2009
Sunday, December 20, 2009
Saturday, December 19, 2009
Friday, December 18, 2009
Wednesday, December 16, 2009
Tuesday, December 15, 2009
Looks like Kenpom is forecasting lines again.
Imma start putting out lol March Madness brackets for funzies using his ratings. Probably does more harm than good but seems like people enjoy it.
Also for the sake of karma I should acknowledge I am running white-hot in 2H's this year after the inital whining of 2H run bad continuation from the tail end of last year. Record would be much worse if every bet was 1H.
Imma start putting out lol March Madness brackets for funzies using his ratings. Probably does more harm than good but seems like people enjoy it.
Also for the sake of karma I should acknowledge I am running white-hot in 2H's this year after the inital whining of 2H run bad continuation from the tail end of last year. Record would be much worse if every bet was 1H.
Monday, December 14, 2009
Sunday, December 13, 2009
Saturday, December 12, 2009
Friday, December 11, 2009
Thursday, December 10, 2009
Wafflemegacrushed a few of those totals yesterday. <3 early CBB season. It's probably fine to take a game 2-3 pts off whatever I post for now, as long as lines are going to move 6-8 pts fairly frequently. For BM releases (not late adds with several books offering) we'll move those lines anyway, so it'll take a disagreeing syndicate to get back to that line. And they probably know more than I do anyway. So I dunno.
Took Colorado -2 before crashing, -2.5 still a 53%-54% play imo. It's not massive value. Was considering Montana at pk, maybe if it hits +2. Hard to tell since Loyola is so different this year.
Took Colorado -2 before crashing, -2.5 still a 53%-54% play imo. It's not massive value. Was considering Montana at pk, maybe if it hits +2. Hard to tell since Loyola is so different this year.
Wednesday, December 9, 2009
Tuesday, December 8, 2009
KenPom Calculator
KenPom calculator now over to the right.
Got a couple emails asking me if I knew when Kenpom was going to start showing forecasted spreads/totals for 2010.
1) I don't know.
2) Plz to not be betting them blindly if you <3 bankroll.
3) I created a little Google doc that gives you those lines.
I'm not 100% it's what he would calculate, but I think it's pretty close. The biggest thing I am unsure of is his home advantage, which he once said meant increasing home efficiencies by 1.4% and decreasing road efficiencies by 1.4%.
To use it, you have to spell the name as it appears on KenPom's sheet precisely. not "Mississippi State", but "Mississippi St.". Otherwise the vlookups return errors. You should only need to input the team names to get lines, nothing else. I'll just update it daily with his efficiency sheet and season averages.
Got a couple emails asking me if I knew when Kenpom was going to start showing forecasted spreads/totals for 2010.
1) I don't know.
2) Plz to not be betting them blindly if you <3 bankroll.
3) I created a little Google doc that gives you those lines.
I'm not 100% it's what he would calculate, but I think it's pretty close. The biggest thing I am unsure of is his home advantage, which he once said meant increasing home efficiencies by 1.4% and decreasing road efficiencies by 1.4%.
To use it, you have to spell the name as it appears on KenPom's sheet precisely. not "Mississippi State", but "Mississippi St.". Otherwise the vlookups return errors. You should only need to input the team names to get lines, nothing else. I'll just update it daily with his efficiency sheet and season averages.
Monday, December 7, 2009
Sunday, December 6, 2009
Saturday, December 5, 2009
Friday, December 4, 2009
Thursday, December 3, 2009
Ships the movement today.
Looks like BM is doing the regular release schedule finally, so I should generally be around for openers if my jubz doesn't get in the way. Can't promise lines will be fresh as horrible totals are rocketing down after a couple minutes now and a whole lot of hitting needs to get done first.
Looks like BM is doing the regular release schedule finally, so I should generally be around for openers if my jubz doesn't get in the way. Can't promise lines will be fresh as horrible totals are rocketing down after a couple minutes now and a whole lot of hitting needs to get done first.
Wednesday, December 2, 2009
Tuesday, December 1, 2009
Monday, November 30, 2009
Saturday, November 28, 2009
Friday, November 27, 2009
Thursday, November 26, 2009
Wednesday, November 25, 2009
Monday, November 23, 2009
Shipzilla <3 the .300 FG%.
Should have kept whacking at it down to 142 ldo.
I'll get the eWin% crap up today if I get bored enough. I make occasional 2H bets but they aren't really followable, only showing game lines. Spreads eWin% will suck, it's going to be a couple weeks before I expect to regularly beat moves there.
It's going to get harder to get my line on openers bets, a lot of these lines are screaming up/down and I have a few people that need to smash it first. I'll post if the live line still has any value when posting in case of hudge moves.
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eWin% stuff up
Should have kept whacking at it down to 142 ldo.
I'll get the eWin% crap up today if I get bored enough. I make occasional 2H bets but they aren't really followable, only showing game lines. Spreads eWin% will suck, it's going to be a couple weeks before I expect to regularly beat moves there.
It's going to get harder to get my line on openers bets, a lot of these lines are screaming up/down and I have a few people that need to smash it first. I'll post if the live line still has any value when posting in case of hudge moves.
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eWin% stuff up
Friday, November 20, 2009
Thursday, November 19, 2009
Wednesday, November 18, 2009
Sure would be nice to run better than 50/50 when I wafflecrush lines, and run better than 0/100 when I get wafflecrushed. :(
Also, last season's latter half system where you bet the oppo side of the 2H line that helps my game bet is continuing to crush. Tempted to try it on the Nevada 2H over since I nearly bet that game under imo.
Yeah sure why not, o76 2H. Lox imo.
Also, last season's latter half system where you bet the oppo side of the 2H line that helps my game bet is continuing to crush. Tempted to try it on the Nevada 2H over since I nearly bet that game under imo.
Yeah sure why not, o76 2H. Lox imo.
Tuesday, November 17, 2009
Monday, November 16, 2009
Sunday, November 15, 2009
Groan. TY to comment below informing me totals releases will become a rarity in all liklihood. I'll be back in a couple weeks I guess, whenever I have enough data to feel comfortable doing anything with spreads other than chasing steam. I'll probably do a lot more sizing with spreads (no more flat betting tracking) given having half my plays and a high 50's winrate removed.
Boooo
Boooo
Saturday, November 14, 2009
Ship the 5 minutes of free time coinciding with some totals rollout and free wireless internet in hotel. Think I need a few games of game data for spreads, I'm wiffing on movement with bets and near bets. Totals are a little easier since tempos don't fluctuate too wildly year to year under the same coach. Less reliance on blind insight into roster changes.
So. Miss u143.5
UCR u132.5
So. Miss u143.5
UCR u132.5
Thursday, November 12, 2009
Stanford -1
Hasn't moved. Hardly anything has moved. Not sure how useful I'll be when lines start flying 5 mins after open, since I generally won't be insta-posting.
Flying to wedding this weekend. Wouldn't expect much of anything. Probably for the best since at the very least I'll know who's getting minutes on each team.
Hasn't moved. Hardly anything has moved. Not sure how useful I'll be when lines start flying 5 mins after open, since I generally won't be insta-posting.
Flying to wedding this weekend. Wouldn't expect much of anything. Probably for the best since at the very least I'll know who's getting minutes on each team.
Wednesday, November 11, 2009
Sunday, November 8, 2009
Tuesday, November 3, 2009
Fun with KenPom
So I’m hurriedly preparing for handicapping college basketball season by revamping the model. Somehow the model gets bigger every year. Maybe by 2014 I’ll be making bets influenced by nose size and number of siblings. For ldo reasons, at the beginning of the year stats aren’t the end-all-be-all that they are most of the way through the season. For a lot of teams, last year’s stats are worthless for anything more than some general thumb in the wind guesstimate. Using the returning players isn’t much of a solution either. Individual player valuations are 1) still shitty in basketball 2) even shittier in CBB with little player history and far from static ability levels 3) not all that helpful since player turnover in CBB is ridiculous. Basically, I avoid games early in the year where most of the PT is wearing the same uniform but doesn’t resemble any incarnation of previous years’ teams.
Every year, I also go back through my old kenpom data, since it’s the dysfunctional heart of the model. Kenpom data couldn’t live on its own, but it’s a hell of resource for making your own Frankenstein. As an aside it’s the people that reply to homer message board posts with “kenpom sez, kenpom sez” that help fuel the donklash against it. Exhibit A being the “LOL WHERE IS YOUR KENPOM NOW” internet mob last March Madness season. It’s smarter than they are, but it’s not as smart as $$$ opinions either. Anyway, since I make so many adjustments to the raw kenpom data, I need to check that data for computational changes year to year. Interestingly, I am fairly sure kenpom made some not so immaterial changes to how he adjusts his efficiency stats. Think of it as something like the process of what a 50 point dunkfest over a scrub versus a 2 point squeaker over UConn would translate to in each teams’ aggregated efficiency stats after those games. It’s probably the most important part of CBB because there is such little parity.
The data in the chart below is adjusted by me in several ways which I am not going to go through, so this isn’t pure KenPom prediction & results. It is pure KenPom efficiency formulas, just adjusted to remove some bias, but adjusted in the same manner each year. It shows year by year home cover %’s for all non-neutral games. The spread ranges are at the top.

Kenpom used to have a big problem predicting blowouts. Seeing -21 online and -24 kenpom, and betting accordingly would have been a great way to light some money on fire. But it got a lot better last year. Maybe he has done something like muting the impact of UNC crushing Northwestern Quadrant of Idaho Seminary School, I don’t know. But kenpom might be getting closer to needing less and less adjusting. Just as an FYI, the high cover rates between 0-10 are mostly the result of kenpom not incorporating actual outcome distributions. Team A who (on paper) is 1 point better at home than Team B, will cover -1 more than 50% of the time.
Every year, I also go back through my old kenpom data, since it’s the dysfunctional heart of the model. Kenpom data couldn’t live on its own, but it’s a hell of resource for making your own Frankenstein. As an aside it’s the people that reply to homer message board posts with “kenpom sez, kenpom sez” that help fuel the donklash against it. Exhibit A being the “LOL WHERE IS YOUR KENPOM NOW” internet mob last March Madness season. It’s smarter than they are, but it’s not as smart as $$$ opinions either. Anyway, since I make so many adjustments to the raw kenpom data, I need to check that data for computational changes year to year. Interestingly, I am fairly sure kenpom made some not so immaterial changes to how he adjusts his efficiency stats. Think of it as something like the process of what a 50 point dunkfest over a scrub versus a 2 point squeaker over UConn would translate to in each teams’ aggregated efficiency stats after those games. It’s probably the most important part of CBB because there is such little parity.
The data in the chart below is adjusted by me in several ways which I am not going to go through, so this isn’t pure KenPom prediction & results. It is pure KenPom efficiency formulas, just adjusted to remove some bias, but adjusted in the same manner each year. It shows year by year home cover %’s for all non-neutral games. The spread ranges are at the top.

Kenpom used to have a big problem predicting blowouts. Seeing -21 online and -24 kenpom, and betting accordingly would have been a great way to light some money on fire. But it got a lot better last year. Maybe he has done something like muting the impact of UNC crushing Northwestern Quadrant of Idaho Seminary School, I don’t know. But kenpom might be getting closer to needing less and less adjusting. Just as an FYI, the high cover rates between 0-10 are mostly the result of kenpom not incorporating actual outcome distributions. Team A who (on paper) is 1 point better at home than Team B, will cover -1 more than 50% of the time.
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