Let's start with this:
As things stand right now we will likely not be favored in a game until Feb 23. I've got the current win probabilities as follows
Purdue 30%
UCLA 31%
at Nebraska 18%
at Penn St 22%
Michigan St 29%
at Northwestern 25%
Michigan 26%
Illinois 22%
at Maryland 14%
Iowa 49%
at Oregon 16%
at Washington 40%
USC 61%
at Michigan 11%
at Purdue 13%
Minnesota 73%
That's a predicted record of 13-18 (6-14) and from a W/L perspective would be an even worse performance than last year, really a failure of epic proportions. But anyway...
I am sticking with the idea that 18-13 is enough to be on the right side of the bubble come March 9, Big Ten Tournament aside. That would require a 10-6 finish. Solving for the KenPom rating that would make our expected record over the next 16 games 10-6, we get: +24.31
With a +24.15 rating, the win probabilities would become:
Purdue 65%
UCLA 67%
at Nebraska 52%
at Penn St 57%
Michigan St 65%
at Northwestern 60%
Michigan 63%
Illinois 58%
at Maryland 46%
Iowa 83%
at Oregon 47%
at Washington 75%
USC 89%
at Michigan 39%
at Purdue 41%
Minnesota 94%
A +24.15 rating would be #12 in the current rankings. So we essentially need to play like the #12 team for the rest of the season in order to get back to the bubble.
The answer to the question? Pretty over... but not 100% over.
Flux, thanks for doing this.
Question: If Dylan was 100% healthy and we beat both Indiana and Wisconsin, how would these probabilities likely look the rest of the way?
And then if we win our next two (in addition to the previous two), how would that also change the probabilities?
I ask because to my knowledge these statistical sites like Kenpom don’t account for our best player being out.
I also think the return of Dylan with the emergence of Grant and Acuff makes us a significantly better team, and a tougher out in our remaining B1G games.