Statistical Analysis of Big Ten Basketball!
Hi everyone! Recently, I was bored in my basement. Since I am a math nerd, the obvious thing to occupy my time was to create a mathematical way to predict the outcome of the Big Ten basketball season. I've done this type of thing before with football, so I already knew my basic process... If you don't like math as much as I do, feel free to skip my explanation and go right to the results of the "study", at the bottom of the post.
First, I had to find the expected winning percentages of each team when they play at home and on the road. Because plain ole winning percentage isn't very telling of a teams' true talent, I used several other factors:
Pythagorean Expectation. This is a simple formula that shows a teams' expected winning % based on their points scored and allowed. This will account for 20% of the final, adjusted %.
Home/Road Winning %'s. Simply a teams' percentage at home, and another for their road games. These will account for 15% of the final winning expectation, but I'll have to find two different %'s for each team: home and away.
Winning % against teams over .600. Because games against cupcakes in the non-conference schedule don't tell us much, this portion of the formula will tell us how well the team responds against worthy opponents who have won over 6-% of their games. This will account for 15% of the final
Actual percentage is still important, obviously, and will be 50% of each team's expectation number.
Here are each teams' home and road winning percentages:
Michigan State Home: .850 Away: .868
Illinois Home: .858 Away: .795
Purdue Home: .809 Away: .794
Minnesota Home: .841 Away: .832
Penn State Home: .737 Away: .698
Michigan Home: .713 Away: .626
Ohio State Home: .732 Away: .667
Wisconsin Home: .648 Away: .589
Iowa Home: .643 Away: .528
Northwestern Home: .628 Away: .551
Indiana Home: .245 Away: .185
Now that we know the expected percentages of each team, we need to find the odds of Team A beating Team B with their given %'s. Here's a formula that was developed by baseball statistician Bill James for just this purpose:
Win %(team A)= (A-AB)/(A+B-2AB)
Using this formula, I was able to find the odds of each Big Ten team to win in each of their remaining Big Ten games.
By adding up each games' individual percentage I was able to get an average win total for each team. I also looked at what would happen if there were no upsets, and simulated 5 seasons, with random numbers to see who won. Here's the team by team breakdown. Gophers are at the very bottom, to build the suspense!
Note: Mondays' Purdue/Wisconsin clash was not included in the data.
Michigan State Average Record: 14-4, 1st Record without Upsets: 17-1, 1st
Simulation Standings: 1st, 2nd, 1st, 5th, 1st
Illinois Average Record: 12-6, t-2nd Record without Upsets: 14-4, 2nd
Simulation Standings: 3rd, 1st, t-3rd, t-1st, t-2nd
Purdue Average Record: 12-6, t-2nd Record without Upsets: 13-5, t-2nd
Simulation Standing: t-5th, 3rd, t-5th, 6th, t-2nd
Penn State Average Record: 10-8, 5th Record without Upsets: 9-9, t-5th
Simulation Standings: 4th, t-4th, 7th, t-1st, t-5th
Michigan Average Record: 8-10, t-7th Record without Upsets: 6-12, t-8th
Simulation Standings: 7th, 9th, 9th, t-8th, t-5th
Ohio State Average Record: 9-9, 6th Record without Upsets: 9-9, t-5th
Simulation Standings: 8th, 10th, t-3rd, t-1st, t-5th
Wisconsin Average Record: 8-10, t-7th Record without Upsets: 6-12, t-9th
Simulation Standings: t-5th, 6th, t-5th, t-8th, 8th
Northwestern Average Record: 7-11, t-9th Record without Upsets: 5-13, 10th
Simulation Standings: 10th, t-7th, 10th, 10th, 10th
Indiana Average Record: 1-17, 11th Record without Upsets: 0-18, 11th
Simulation Standings: 11th, 11th, 11th, 11th, 11th
And finally...drum roll please...your...Minnesota...Golden...Gophers!
Minnesota Average Record: 12-6, t-2nd Record without Upsets: 13-5, t-3rd
Simulation standings: 2nd, t-4th, 2nd, 4th, t-4th
So, there are several interesting inferences to be made here:
- Michigan State will more than likely, take home the conference crown
- Illinois is no fluke
- Michigan's good(ish) start will not continue, they figure to finish about 7th.
- It will be a tight race for second, especially is Sparty stumbles, with Illinois, Minnesota, and Purdue all vying for the second spot in the tournament.
- Wisconsin will rebound at least a little from this horrendous start. 7th in the conference just might get an NCAA berth with a good showing at the conference tourney.
- Indiana is just not very good. They'll be lucky to win multiple Big Ten games, and could go 0-18!
Thanks for reading, everyone. Hope you enjoyed it!
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Your most important finding of all may be...
…that Iowa was kicked out of the conference in your simulation!
Not a bad projection
I really like the pythagorean expectation. I did that in addition to other things during the football season to project the Gophers games after they started off 7-1. My model had them finishing at 8-4 when everyone was expecting them to go to the Rose Bowl.
Even though it is true that winning is all that matters, the scores of games are telling. If you are winning games consistently by just a few points, your margin for error is very low and you are perhaps more lucky than good.
That is what worries me about the Gophers basketball team. They needed everything to go their way against Wisconsin, clawed a victory out of Bloomington, and won very ugly against Iowa. Not to mention we only won by single digits against some non-conference cream puffs. That Louisville win is looking more and more like an anomaly. The good thing is that no one can take those close wins away from us now, so we should be able to finish in the top half of the league.
This upcoming three game stretch is going to make or break our season. We need at least one win to stay off the bubble.
Iowa! Who needs them!
In case anyone really cares:
Iowa Average Record:7-11, t-9th Record without Upsets: 6-12, t-8th
Simulation Standings: 9th, t-7th, 8th, 7th, 9th
And thanks, PJS

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