The Sports Cruncher's Week #8 NCAA Football Thread

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Chomping at the bits
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Yo, what's your record man?

I usually only keep track of +/- average size bets and ROI%, but I guess there's no harm in tracking win%. It will help me track the success rate of the different unit size plays, which I've always suspected didn't have a strong correlation between units played and win%, which last week's results, at least, represented, lol.

Over all Win %67.9%
UnitsWin %WinLoss
267%21
158%118
3/5th75%155
1/2th71%104
 

Chomping at the bits
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3/5th Unit: CLEM @ BC Under 47

Line already jumped down 1.5 points or would have been a full unit.
 

Chomping at the bits
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1/2 Unit: NCST @ LOU Under 48.5

This one also devalued from quick line change.
 

Chomping at the bits
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I was looking at the Utah & ORST Under and the line hadn't moved since opening. Now it drops like a rock when the other lines are released, damnit, lol.
 

Chomping at the bits
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1/2 Unit: HAW @ SDSU Over 47

Man, that is all, barring one potential Friday night total play. I can't believe how tight my lines are to these totals that just came out. 93% correlation between the two, with an average difference between the two of 2.25 points.
 

Chomping at the bits
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Totals snapping even closer, 2.16 average difference. Wonder how much of the "pre-opening opening lines" I missed because my log-in had timed out and so the lines weren't refreshing automatically? lol Not a heck of a lot to like on totals this week, that's for sure.
 

Chomping at the bits
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Okay, checking the ticker it looks like we mostly got the first lines available today. Unfortunately things move so fast on some of the good lines that by the time I put the bet in (after putting in other bets), the line has already changed a point or so.

I'm in the process of trying out a modification to my match-up projections to try and set overall sharper lines. There are still many line moves a week that don't jive with my lines -- I guess there's no harm in trying to be better, right? ;) I want to see if I can make adjustments to where nothing truly surprises me, lol. Remember, my lines are set by a process that I've worked on for a dozen+ seasons between NFL and NCAA.
 

Chomping at the bits
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Thx MM.

Adding for 1/2 Unit: ULL @ TXST Under 28 2nd half (-115)

This play is predicated on TXST not drawing to close until potentially late in the game, keeping ULL mostly on the ground with their good run game match up, while slowing down the tempo as the game progresses.
 

Chomping at the bits
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Looks like some injuries, especially to the VT running backs, has caused the line shift back to VT as a dog. I was showing enough value on VT to ride this out anyway -- their run defense should be the difference (one big injury on the line, apparently, though).
 

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Thanks for taking the time to reply. Your answer is what I expected and I think helps to confirm that your strategy works (as if the empirical evidence wasn't enough, right?). What do you make of the fact that your winning percentage is inversely related to the expected value? Is that random or a manifestation of this year's year's data showing long-term variance in the model over many years, or has rank value usually been hard to find? I know of a couple of other modelers who have messed around with rank value and it seems to be the Holy Grail of prediction models, but I guess yours isn't actually a prediction model, at least with regards to outcome, since you're interested in beating the market which deals more with volume rather than with isolated outcomes.

Anyway, thanks again for the hard work. It's really impressive!
 

Chomping at the bits
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The inverse EV to win % of last week is A: taken from a very small sample. B: still a profitable % across all units played groups, so not that big of a variance. C: Completely due to narrowly losing (all by less than a score) most of the 1 unit Under plays -- and I'll tell you this, I try to keep my average total about .5 points below the average market total. This year (starting late, just a couple weeks ago), heading into last week, I'd noticed that my average total was about 1.5 points below the average market total. This week I made an adjustment to bump my totals up to the range where I like, and now my totals are extremely close to the market, which led me to wager on some smaller EV than usual plays on totals this week, for better or worse (we'll see how they do Saturday, some of those 1/2 unit plays were for as little as 3 points difference between my line and the market line). So, my totals running a little low plus bad luck in close finishes (all winning totals were by more than a touchdown, all losing totals by less than a touchdown) and a stupid amount of 2nd half points scored in many of those losses added up to a bad run on the game Unders last week, which skews the small sample set.
 

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