The last 12 months have been a bit of a rollercoaster with Javan, starting with elation that we were able to grab an All-MAC caliber player from a rival. Since Dwight finished his eligibility, the team has lacked a true dominant post presence, and Simmons presented as a person who could fill that role and play perfectly in pick-and-roll situations with Pav.

That excitement wore off very quickly as I watched the Wright State exhibition game. From that game through the first month or so, he didn’t look actively bad, but he certainly didn’t live up to what I thought he would be. Then came February.

Somewhere around the middle of January and into February, he really flipped a switch and started to play with an intensity that resulted in him single-handedly keeping the team in games. Until recently, an off night from Pav meant virtually no hope of a win. This led me to dig into some data to see if there is any real merit to the thought that Javan Simmons has turned into a completely different player.

A Quick Note on the Data (EvanMiya vs. Torvik)

I originally wanted to use EvanMiya's data for this. EvanMiya is essentially the gold standard because it uses actual play-by-play, possession-level data to calculate a "true" plus-minus (meaning it measures exactly how the team performs when a player is actually on the floor versus on the bench). The EM data is also much better at accounting for matchups and who is on the floor on both sides. Unfortunately, the site doesn't allow you to filter performance by specific date ranges.

Because of that, I had to use Bart Torvik. Torvik’s Box Plus-Minus (BPM) doesn't use that granular on/off-court data. Instead, it looks at traditional box score stats (points, rebounds, efficiency, etc.) and runs them through a formula to estimate a player's impact. While it’s more of an estimate than EvanMiya's true plus-minus, seeing a player's box score impact jump this drastically still paints a crystal clear picture.

Metric Definitions:

PRPG! (Offensive Value): Think of this as how many extra points a player creates for the offense compared to a typical bench player. The best part about this stat is that it adjusts for "usage," meaning it rewards guys like Javan who can score efficiently even when the opposing defense knows he's getting the ball.

BPM or Box Plus-Minus (Overall Impact): This is a single number that estimates a player’s total value (both offense and defense) compared to an average Division I college basketball player. A 0.0 means the player is exactly average.

Simmons Metrics for 3 Periods During the Season
(Format: Metric Name: Value (Rank in Conference))

11/1/25 - 12/31/25
PRPG!: 1.7 (35th)
BPM: -1.2 (61st)

1/1/26 - 2/7/26
PRPG!: 3.0 (14th)
BPM: 0.6 (36th)

2/8/26 - 3/8/26
PRPG!: 5.0 (2nd)
BPM: 8.4 (1st)

The data out of Torvik directly aligns with what I’ve thought I’ve been watching. Simmons struggled out of the gate, got better once MAC play started, and has been dominant in the last month of the season, ranking as the best in the conference in BPM and 2nd in PRPG! only trailing his buddy at Toledo, Sonny Wilson.

There was a stretch earlier in the year where my kneejerk reaction was that we would be better off moving on from him after the season. It’s flipped so drastically that I think he is a critical piece to turning the ship around next season and also giving us any hope of wining games in Cleveland this week.

Also, for those curious, I’ve been a long-time lurker on the board and only very recently contributed some stuff like these kinds of data-based breakdowns. I work in data for a living and have grown up around college basketball, so I merged the two things together a few years ago to build algorithms that I use to bet on a select few games throughout the college season (college basketball has a perfect mix of lots of sample size and a ton of teams that nobody really pays attention to). This has led me to spend entirely too much time on places like KenPom, EvanMiya, and Torvik analyzing the Bobcats. This type of stuff then felt like it might be worth sharing on this board.

This adds value, obvs. Kudos.

Without doing much other work, are there any surprises in the Top 5/10 down the stretch in MAC in the two stats? Who passes both the eye and the quant tests?

And, who else has a severe positive trend first or second derivative move going like JS as the season is ending?

I usually only operate with KP to keep it simple, but like the ways one can move the EM stuff to pull more esoteric stuff.

Excellent info QuantCat. Thanks for posting. It certainly squares with what I witnessed. It's nice when actual data aligns with your seat-of-the-pants observation. If it hadn't, of course, I would have dismissed it! ;-)

I was so impressed with him last Friday night. He played a terrific game, and one could tell how hard he took that defeat. He came back out to the court and sat on the bench a long time, with his family consoling him. I had a chance to go up and thank him for how well he represented our university that night.

Would love to see him back for another year.

Exactly.

I, and many others, mentioned it starting way back with the Wright State game - about Simmons apparent lack of conditioning entering the season. Given how he played last year. And how he's playing now - you won't convince me he wasn't fully out of shape in November/December. Why? Dunno. That's on him. But - he's absolutely gotten better as the season has progressed, and the stats obviously back it up.

What some of us have continued to harp on, even while his play has been better, has been his antics. His attitude. The constant chirping at players, refs, fans, coaches. The flexing on guys when down 20. Losing his composure.

All of that ended against Miami, and I stated as much in the game day thread. We finally saw the Simmons who could carry the team statistically and also kept his composure/cool. He still kept his passion and fire. He still got in multiple Miami players' heads. But he never retaliated. Never lost his composure (until the very last foul and even then he re-composed himself and restrained himself as soon as Kiir grabbed him). It was a thing of beauty and why I said then I'd take THAT Simmons every day of the week.

I'd gladly take him back next season as long as we can keep him away from Burrito Buggy so we don't have to wait until January :).

Similar to Lovebobcat, I thanked Simmons for his and his team's effort against Miami when I saw him the next day at the Fairgrounds Coliseum in Columbus. He was there watching his high school, Gahanna, take on Newark in the district finals.

I also asked him if he's coming back to Athens next year and he answered, without hesitation, "100%". I asked why we saw so little of Jordan Fisher, who was also in the old barn watching his high school, Reynoldsburg, in the following game. It sounded like he was going to give his opinion before catching himself and just saying "coach's decision."

Simmons and coach Lamar Thornton, who I also talked with briefly that day, both think Zay Mosely is going to a contributor next year. Thornton said Mosely is a bigger version of Simmons. I asked if he meant bigger but not taller (which I thought was the case) and he said both.

Simmons Season Stats

First 15 Games:
12.7 points, 4.8 rebounds, 1.4 assists, 0.4 blocks, 0.4 steals, 1.9 turnovers

Last 15 Games:
17.1 points, 6.6 rebounds, 1.8 assists, 1.2 blocks, 1 steal, 1.4 turnovers



The Last 15 Games of Javan Simmons has MAC PoY potential.
That's the guy I hope we see next season.