# Projecting #ToC2017

So, it’s always interesting and fun to look forward to the next Tournament of Champions. Keith Williams over at The Final Wager put a model together for the 2015 tournament, and I have adapted my Coryat game-prediction model to determine each current 4-timer’s chances of making the next Tournament.

For my main projections, I am operating under the assumption that #ToC2017 will be airing in November 2017, with a cut-off of the end of Season 33. It is a possibility that the cutoff may also be variable, depending on when the field fills with 5-time champions, but for the purposes of this projection, I am going to work with a fixed cut-off date. As of March 6, 2017, that leaves 94 games until the cut-off. This model will also assume that there will be a Teacher’s Tournament in May of 2017, with an automatic qualification spot available.

Thus, for the 15-player field, there are currently 3 automatic qualifiers (and a fourth to come) and 7 superchampions (not counting Cindy Stowell). There are also currently six 4-time champions, the top 4 currently are Tim Kutz, Todd Giese, Rob Liguori, and Fred Vaughn. Thus, I am interested in the chances of these four players keeping their spots in the next tournament.

# My Approach & Algorithm

If you’ve spent much time around The Jeopardy! Fan, you’ll know that I already have a Coryat Score-based game prediction model, which predicts the length of a champion’s run, given their previous Coryat scores. I have adapted the same model as the basis of my Tournament of Champions model.

The model’s algorithm works as follows:

- Determine the average Coryat score of the current champion. For the first champ in the model, this is known. For future unknown champions, this is randomly generated from a normal distribution (with the mean and standard deviations set from game data from November 23, 2015 to the present — the start of the current qualifying period. The current mean Coryat is $14,512, standard deviation $4,351).
- Given the Coryat score, you can then determine a player’s chances of winning their next game (from the trend line formula used by the single-game predictive model), and from there, the length of their run (in this case, I am using the ceiling function on
*r / (1 – r)*— the formula used to determine the sum of this sort of infinite geometric series) - If the run lasts 4 games or longer, or 5 games or longer, add them to a counter (We’ll need this info later!) and continue until we have reached the requisite number of games that we wish to look at.
- At the end of a set of games, look at the number of 4- and 5- timers. If there are 5 or more 5-timers, then there will either be an early cutoff, or a 5-timer will be left out (neither of these situations are good for any of our 4-timers). If there are exactly 4 5-timers, then again, this isn’t good for our 4-timers, but there won’t be an early cut-off either. It’s when there are 3 or fewer 5-timers that things get a bit more interesting.
- If there are 3 or fewer 5-timers, then we need to see where the randomly generated 4-timers fit in on the current standings. Of course, Tim has $107,000, Todd $82,403, Rob $72,601, and Fred $65,700. I have taken 4-day running totals of the champions’ winnings, again from November 23, 2015 to the present, and taking the mean and standard deviation of that (mean: currently $76,309; standard deviation: $17,877) to randomly generate normally distributed winnings of 4-time champions. They then get compared with the current standings to determine who the last qualifier will be for that simulation (i.e. if there are 3 5-timers, and the highest 4-timer gets a score of $95,000, then Tim will be the last player in. If there happens to be only 2 5-timers and the highest 4-time score is $75,000, then Todd would be the last player in.)
- Once one set of games is finished, then re-run the simulation a large number of times, tracking the outcome each time. For my main simulation, I’ll be running the simulation for 100,000 sets of games.
- Once the full set of games is finished, then output the mean and standard deviation of 5-timers, 4-timers, as well as the number of times the simulation predicts either an overfull field, or the number of times Tim, Todd, Rob, and Fred qualify.

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This is being implemented using a Python script, and will generally be updated on a weekly basis, in both the ToC Tracker page, as well as the Week In Review.

**March 9, 2017 update: Version 2 of this model makes the following changes to the algorithm, all to project the chances of the current champion in the early stages of their respective runs:**

- For the current champion, randomly generate a run length. For this, I have centered the normal distribution halfway between the player’s average Coryat and the overall mean, with a standard deviation of half of the overall standard deviation. Once that average Coryat is then determined, I then determine the win chances as above and use the floor function on the infinite geometric series formula given above to generate the length of the run for each simulation.
- If the run length is 5 games, add them to the counter and list them separately as having qualified (We’ll need this later.) If the run length is 4 games, generate their 4-game total (the normal distribution here is centered on their current total + an extra $19,077 for any further wins to reach 4, and a smaller standard deviation the closer one gets to 4 wins.) Once the 4-game total is generated, we slot them into our list of 4-timers, sliding the other 4-timers on our list down as required.
- We then run the rest of the simulation as before, making the comparisons, and outputting the % times that Tim, Todd, Rob, Fred, and the current champion each qualify for the ToC from our model.

# The results, as of March 6, 2017:

With a projected 94 regular-play games to go prior to the Tournament of Champions cutoff, after 100,000 simulations, our model shows:

An average of 3.4176 5+-time champions (standard deviation 1.4334).

An average of 5.2705 4+-time champions (standard deviation 1.7502).

An early cutoff took place 21,892 times (or a 5-game winner will be left out).

Tim Kutz qualified 51,075 times.

Todd Giese qualified 14,719 times.

Rob Liguori qualified 2,965 times.

Fred Vaughn qualified 666 times.

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This is some beautiful number-crunching! Always fun to pore over another stat geek’s work.

Logistic regression for the win!!!

Great analysis, Andy!