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Colin Hanley

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@cjhanalytics

Basketball Analytics | Math/DS student at @UofAlabama | #RollTide | Open to analytics roles: colinhanleydev@gmail.com
Montana, USA cjhanalytics.com Joined September 2022
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Colin Hanley Verified account @cjhanalytics
Here are my updated men's model rankings after the first week of college basketball!

Some weird movement due to imbalanced schedules, but it will start to iron itself out in the next couple it weeks
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Colin Hanley Verified account @cjhanalytics
Lot of Memphis fans in my comments this weekend complaining about my ranking of the Tigers, but their performance against Vanderbilt perhaps demonstrates the importance of maintaining some preseason priors.

Still a good team, but overreacting to early-season results is usually not the move.
Colin Hanley Verified account @cjhanalytics 21h
Here are my model's projections for the top 12 matchups across CBB today, headlined by the Champion's Classic!
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Colin Hanley Verified account @cjhanalytics
Big time win for the Spartans to kick off the Champion’s Classic

Question coming into the season for me was what the supporting cast around Fears (who was always going to be amazing) would look like. Sensational defensive performance from MSU, definitely look like a natty contender.
Colin Hanley Verified account @cjhanalytics 21h
Here are my model's projections for the top 12 matchups across CBB today, headlined by the Champion's Classic!
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Colin Hanley Verified account @cjhanalytics
Wanted to advertise my programs page a bit!

More for fun than anything, but this provides a central ranking for a team's rating across both men's and women's basketball, as well as a direct stylistic comparison. To my knowledge, this is the only place this information is presented in this format!
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Colin Hanley Verified account @cjhanalytics
At least in my experience, by far the most difficult part of preseason projections is evaluating players who have no D1 experience, especially those coming from international sources.

As such, it is interesting to follow what players have improved their Player Value Rating (PVR) the most through the first few games amongst those with no D1 history (in other words, players who my model grossly underestimated)