The last time I provided a metrics and odds update for MSU and the Big Ten, the situation was much different. The Spartans were undefeated and in the Top 5. The Big Ten campaign was about to start and many prognosticators were starting to predict that Michigan State might just win a fourth consecutive Big Ten regular season title.
But, MSU took a trip to Evanston and came back with an 'L.' Then, the Spartan's Christmas Day house guest left MSU fans feeling blue. Now, MSU is 0-2 to start Big Ten play. How bad is it? I have once again crunched the number and I think that I have the answer.
Before looking at the data, however, I will note that I have made a significant improvement to my simulation. I found a few old mid-season Kenpom data files on my hard drive for the 2019 season. This gave me a way to estimate the how much the adjusted efficiency data is likely to change over time. Figure 1 below compares these changes for all Division One teams between January 4th, 2019 and the final pre-tournament data in 2019 relative to the adjusted efficiency margin values in early January.
Figure 1: Comparison of the changes in adjusted efficiency margins relative to the value on January 4th for all Division 1 teams in 2019. |
As the Figure shows, the standard deviation of efficiency margin movement over this timeframe is about 3.5 and the range is about plus-or-minus roughly ten. The distribution also appears to be basically Gaussian / Normal and it does not depend on the quality of any given team. Furthermore, this range and standard deviation appears to decrease linearly down to zero on Selection Sunday.
With these parameters, it is straightforward to inject the proper amount of uncertainty into the simulation. I am making the assumption that the final pre-tournament efficiency margin for every team is the "correct" value for that team and that it just takes the full season of accumulated data to figure that out. In this way I can use a random number generator in each simulation cycle to assign "true" efficiency margin to each team based on the current efficiency margin value and the number of days left until Selection Sunday. I will use this method going forward.
Current Standings and Odds Update
With this in mind, let's take a look at the current position of MSU and the rest of the Big Ten, starting with my enhanced Big Ten standings. Table 1 below shows the current Kenpom adjusted efficiency margin and rank of all 14 Big Ten teams, along with the current record and winning percentage. In addition, I have included each team's "plus/minus" rating, which is simply the number of road wins minus the number of home losses. Finally there are two columns for "luck" and expected wins, which are related.
Basically, expected wins are the number of expected win a team should have up to this point based on the retroactive projected win probabilities for the games that are already finished. The parameter I call "luck" is the different between the current number of wins and the expected number of wins.
Table 1: Enhanced Big Ten standings for 12/27/2020 |
Despite the fact that the most Big Ten games that any team has played is four, there are only three total undefeated teams in conference play: Wisconsin, Michigan, and Northwestern. Furthermore, the road team has only won only five of the current 17 games played so far.
As for "luck," it is still early for these numbers to mean much, but so far MSU seems pretty unlucky. Based on the updated expected win values for the Northwestern and Wisconsin game, more likely than not, MSU should have won one (0.86, exactly) of the two games so far. Now, perhaps this is due to "luck" and perhaps it is "grit," or perhaps it is just that MSU is still overrated. In any event, MSU is still 0-2 and near the bottom of the Big Ten standings.
The updated Big Ten win matrix is shown below in Table 2.
Table 2: Big Ten expected win totals and win matrix for 12/27/2020 |
As of now, the Spartans' expected win total has dropped to 8.77 and the odds of finishing at .500 or better is at only 39 percent. The most likely record is 9-11, which would be the worst finish in Tom Izzo's tenure, as he has never finished under .500 in league play. Meanwhile, Wisconsin really solidified their position as the Big Ten front-runner. The Badger's expected win total in at 14.28 which is a full game greater than the next best team, Illinois.
As for the impact on the odds to win or share a Big Ten title, that is summarized below in Table 3.
Table 3: Big Ten regular season champion odds and win matrix for 12/27/2020 |
MSU's odds to share the Big Ten title have dropped to just 1.2 percent. This includes the scenarios where the Spartan's "true" Kenpom efficiency margin is actually much higher than the current value of 17.87.
The reason for this is due in large measure to the current position of Wisconsin. As the table shows, the Badgers now project to have almost a 50 percent chance to win the Big Ten. Furthermore, the table suggests that there is now almost a 60 percent chance that the final record of the Big Ten champ(s) will be 16-4 or better. In order the MSU to reach this record, the Spartans would need to close with a 16-2 record, which seems very, very difficult.
Strength of Schedule Update
I spent a lot of time a month ago analyzing the idea of strength of schedule using the preseason Kenpom data. The general method that I used calculates the number of expected wins for each schedule assuming that it is played by an average power five team. As teams play and the data shows that they are either better or worse than expected, the relative strengths of schedule also change. Below I show the updated strength of schedule data for the Big Ten.
Figure 2: Big Ten strengths of schedule on 12/27/2020 |
In the preseason, Wisconsin had a notable schedule advantage over the rest of the conference but the updated numbers now show Illinois and Purdue neck-and-neck with the Badgers. The Boilermakers now actually have a slightly easier schedule overall. MSU's schedule remains in the middle of the pack.
Now that a few a games are in the books, it is also possible to calculate the remaining strength of schedule, which is the same normalized expected win calculation that only sums of victory probabilities for all remaining games. However, not all teams have the same number of game remaining. To normalize for this imbalance, I divided the expected number of remaining wins for each schedule by the total number of remaining games to arrive at a the win percentage that an average Power Five would expect. The results of that calculation are shown below in Figure 3.
Figure 3: Strengths of schedule for the remaining Big Ten games on 12/27/202 |
In this case, it is actually Purdue still has the easiest remaining schedule, but Rutgers and Illinois are not far behind. MSU is still in the middle of the pack. It is also notable that the other two undefeated teams, Michigan and especially Northwestern, have the two hardest remaining conference schedules. This helps to explain why Wisconsin has such a commanding lead in the regular season race.
Big Ten Tournament Projection
If the season ended today, that would be weird, because only 17 total Big Ten games have been played and the teams have not played the same number of games. That said, it is possible even now to make projections about the Big Ten tournament based on the simulated results. Table 4 below provides that update.
Table 4: Big Ten Tournament seeding odds on 12/27/2020 |
Based on the combined odds for the entire simulation, the top four seeds of the Big Ten Tournament are currently projected to be Wisconsin, Illinois, Iowa, and Michigan. MSU currently is checking in as the No. 11 seed, which would again be the worst seed that Tom Izzo has ever drawn in the Big Ten post season, by a long shot. The previous worst seed was a No. 7 seed which has happened twice, once in 2007 and once in 2011. Since 2011, MSU has been no worse than the No. 3 seed once, which was in 2017 when the Spartans were the No. 5 seed in the Big Ten Tournament.
That said, MSU still projects to have a 10 percent chance to make it into the top four (which would earn the coveted double bye) and a 60 percent chance to at least avoid the opening day. Also note, in the scenario where the current projected favorite wins all the remaining Big Ten games, MSU would finish at only 8-12 in Big Ten play, which would also earn MSU just the No. 11. In both cases, MSU would earn a date to play on Wednesday of the Big Ten Tournament for the first time in history.
MSU's Current Position and Upcoming Schedule
Figure 3: Kenpom efficiency scatter plot showing the trajectory of MSU's current season, past MSU teams, past NCAA Champions, and current likely contenders |
Figure 4: Odds for all of MSU's remaining games, based on current Kenpom efficiency data |
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