Iowa vs. Illinois Odds
Iowa Odds | +3.5 |
Illinois Odds | -3.5 |
Over/Under | 36.5 |
Date | Saturday, Oct. 8 |
Time | 7:30 p.m. ET |
Channel | Big Ten Network |
*Odds via FanDuel as of Saturday morning.
There is a historically profitable betting algorithm developed by the Action Network that has two solid betting edges for this Big Ten contest between Iowa and Illinois.
The algorithm factors in injuries, matchups, weather conditions and more.
This system provides more than 9% edges in betting value for both the spread and moneyline. That means the picks have implied odds that are more than 9% higher than the odds available to you in the markets.
Essentially, the lines currently have a 9% discount across the market.
Over the long run, if you only bet on lines with at least an 9% betting edge, you’re almost assured to make a profit. In the short term, of course, variance is a constraint.
These picks are the second- and third-best college football picks of the day, according to our models.
Iowa vs. Illinois Algorithm Prediction
Odds and betting data updated as of 12 p.m. ET.
The models are rolling heavily with the Iowa moneyline and Iowa spread.
The algorithm thinks their moneyline should be closer to +100. Meanwhile, the best price you can get on the market is with Fubo at +160.
If you’re outside of New Jersey or Iowa, roll with FanDuel’s mark at +150.
At Fubo’s +160 mark, this pick indicates roughly 11.5% in betting value.
Remember, even small differences in lines make a big difference in the long run. The market-worst price of Iowa +145 at BetMGM, for instance, saps about 2.4% of value from this betting edge — enough to downgrade this pick substantially.
So make sure to line shop properly before placing a bet using our algorithms.
As for the spread, the Action Network’s algorithms think the line should be priced as Iowa -0.4. Meanwhile, the best market price is at PointsBet at +3.5 (-107).
That’s a solid 9.5% in betting value, according to our algorithms.
PRO Picks: Iowa +160 or better | Iowa +3.5 (-107) or better
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