Tag Archives: Tyler Zeller

What Could Have Been

It started in the summer with the news that Leslie MacDonald, a role player from last year and the Tar Heels’ best returning 3-point shooter, would miss the year with a torn ACL. We winced, but knew this was a glancing blow. The Heels were supposed to be a juggernaut, and juggernauts don’t flinch when someone cuts off a finger. We would be fine. Students lined up for (not)Late Night With Roy at 4pm. We eagerly read along as ESPN launched a blog just for UNC on its basketball homepage. We soaked up commentary. Optimism reigned supreme.

The season began with great fanfare, highlighted by UNC’s annual pasting of Michigan State in a new, fancy venue – this time, an aircraft carrier. Even when UNC lost to UNLV and then Kentucky, we knew March was when it really mattered. As ACC play rolled around we started to get a sense of the team: they were nice kids. Off the court they loved hanging out together, communicating on Twitter so we could all feel part of their goofy lifestyle. Henson was the class clown, Barnes the businessman, Watts the elder statesman, with Kendall Marshall at the center of it all. This was, after all, the team that played outdoor pick-up against us mere mortals (sometimes spotting teams 9 points in a game to 11). On the court, they occasionally coasted on talent against inferior opponents. They won, mostly, but sometimes seemed uninspired. The Heels went through a lengthy, multi-game shooting slump where they developed a gritty defensive identity. Things started coming together.

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A Waste of Time

The ACC Tournament is a waste of time.

There. I said it.

Va Tech fans know this Thinker pose well.

Now, before you get all pissy: if you’re a Clemson or Florida State fan or, God help you, a Virginia fan, then the ACC Tournament is a valuable tool to enhance your seeding or your resume for the tournament. Actually, if you’re one of those fans, why are you reading this? And if you’re a Maryland fan, I’m still not over the fact that Greivis Vasquez played for you, so you get no love from me.

The general gist of the anti-tournament argument goes something like this: for the conference royalty, UNC and Duke, seeding for the NCAA tournament is usually pretty set by the time the tournament comes around. The tournament thus serves merely a fatigue machine serving up two, maybe three more games for your star players to risk injury. At the very best, it’s forty to 120 more minutes of wear on already-beaten bodies.

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Does UNC lack a killer instinct?

I once had a forecasting class where the professor gave each one of us a bag of M&Ms. We were then supposed to count each color and report the results. Predictably some of the M&M bags had more blues, while others had more oranges. My bag in particular had one brown M&M, which was the lowest count of any color in any of the bags. The professor showed the results on a projector and asked the class to imagine each color to be a particular product and that each bag to be an individual store. She then asked what the results meant. Some people said that certain “stores” were better at selling certain “products.” My store in particular was said to be deficient in selling whatever product the brown M&M represented. There was a discussion among people in the class about reasons why certain stores had sold more of certain products. Maybe one store had better employees? Maybe one store sold more “oranges” because they were located in a college town like Syracuse?

At that time I had to raise my hand. I asked the professor if we should maybe consider that the results are random and that it would be a terrible idea to come up with a forecast based on these results. The sample size was way too small, and also we had the advantage of knowing that these results were completely random. For example I doubt that the 6th M&M bag opened in the next class would have a only one brown M&M. Generally speaking it was amazing to watch people try to assign reasons to what they knew were random events. Needless to say I didn’t understand the exercise and I don’t think I impressed my professor with my answer. I wasn’t trying to be a devil’s advocate or a jerk, but rather just start a discussion on the importance of luck in setting a forecast.

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Being wrong…

At no point before or during last night’s game did I think Duke was going to beat UNC. It was a combination of the previous game against Miami and the fact that Duke matched up terribly with UNC. I didn’t know who would guard Barnes, how they would stop Marshall from getting in the lane or how they could prevent UNC from dominating the offensive rebounds. During the game it looked like UNC took Duke’s best shot in the first half and was still up three going into halftime. It didn’t really surprise me that the lead fluctuated between 8 and 12 points for most of the 2nd half. Normally, I don’t text my brother-in-law (the enemy) during the game, but didn’t seem to be that big of a deal because it more closely resembled the Paulus/McRoberts Duke-UNC games. I was content with how Duke played and was actually somewhat ok with them losing to UNC. I was wrong. I was wrong about so many things, but most importantly I was wrong in thinking that Duke couldn’t beat UNC.

Also, I was wrong about questioning any of Coach K lineup decisions. I thought Quinn Cook should play more, and that playing Tyler Thornton wasn’t the best idea. Thornton didn’t have the best game, but this three to start the comeback was an intelligent, critical play. Coach K has been searching for what works with the team, and give him credit for taking a team that lost Nolan Smith, Kyle Singler and Kyrie Iring and leading it to impressive wins against Kansas, Michigan, Michigan State and UNC. I might complain about the team, but they have five wins against top 25 (RPI ranking), which just so happens to be four more wins than UNC has against top 25 teams.  

I was wrong for comparing Mason Plumlee to Josh McRoberts. The middle Plumlee didn’t have the best game, but his steal before Curry’s three was something that at least got him of the McRoberts line. There will be time to analyze his game, but after last night I would like to stay positive.

I was wrong about Austin Rivers. I never really liked watching him play. His outside shot seemed to be at best described as streaky, and I wondered if he was ever going to be a decent three point shooter. Ask Tyler Zeller how his three point shot looks? Anyway, his passion, heart and production last night made me a believer. No matter how the rest of his career goes, Rivers has given me a game and a moment that cements part of his legacy. Just like last year when Nolan Smith and Seth Curry led the comeback against UNC, Rivers never has to pay for another drink around me.

Last night was one of those sports miracles that makes following sports worth it. I had low expectations of the game, and just like a lot of things I was wrong. This was a classic UNC-Duke game and 30 years from now I will still smile whenever I see a replay of Rivers shot to complete the comeback.

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Carolina vs. UNC-Asheville: +/- and Defensive Charting

Caveat: Single-game +/- figures are so “noisy” (i.e., influenced by randomness) that they’re rendered practically useless. Even with a complete season’s worth of data, the +/- metric (especially in this– its unadjusted– form) suffers from this noisiness. Still, when taken in conjunction with the defensive box score, traditional box score, and old-fashioned “eye test,” the single-game +/- can be a part of the total evaluation process. It also serves as a good summary of Roy Williams’s substitution patterns/rotation.

Some definitions:

Pts-Pts All.: the points scored and points allowed by the team during a given player’s minutes
Off Eff: the points scored per 100 possessions with a given player on the court
Def Eff: the points allowed per 100 possessions with a given player on the court
Net Eff: the scoring margin per 100 possessions with a given player on the court

+/- Stats vs. UNC-Asheville

Player Minutes Pts-Pts All. Off Eff Def Eff Net Eff
Watts 9.4 27-19 145.9 108.6 +37.3
Marshall 32.9 80-58 121.2 90.6 +30.6
Barnes 30.1 69-51 113.1 86.4 +26.7
Zeller 29.2 67-52 113.6 90.4 +23.2
Hairston 11.4 32-27 145.5 122.7 +22.8
TEAM 40.0 91-75 115.2 94.9 +20.3
Henson 29.2 63-54 107.7 92.3 +15.4
McAdoo 9.3 23-21 127.8 113.5 +14.3
Strickland 29.5 58-51 100.0 87.9 +12.1
Bullock 11.8 31-32 129.2 128.0 +1.2
Hubert/Simmons/Cooper/Crouch 1.5 1-2 50.0 66.7 -16.7
Dupont 1.1 0-0 0.0 0.0 0.0
White 0.4 1-2 100.0 200.0 -100.0

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Carolina vs. Michigan State: +/- and Defensive Charting

Before getting to the first +/- table of the season, some words of caution: single-game +/- figures are so “noisy” (i.e., influenced by randomness) that they’re rendered practically useless. Even with a complete season’s worth of data, the +/- metric (especially in this– its unadjusted– form) suffers from this noisiness. Still, when taken in conjunction with the defensive box score, traditional box score, and old-fashioned “eye test,” the single-game +/- can be a part of the total evaluation process. It also serves as a good summary of Roy Williams’s substitution patterns/rotation.

Some definitions:

Pts-Pts All.: the points scored and points allowed by the team during a given player’s minutes
Off Eff: the points scored per 100 possessions with a given player on the court
Def Eff: the points allowed per 100 possessions with a given player on the court
Net Eff: the scoring margin per 100 possessions with a given player on the court

+/- Stats vs. Michigan State

Player Minutes Pts-Pts All. Off Eff Def Eff Net Eff
Hairston 8.9 19-11 126.7 73.3 +53.3
McAdoo 16.3 36-27 124.1 87.1 +37.0
Marshall 32.8 57-41 101.8 73.2 +28.6
Zeller 30.9 52-39 100.0 76.5 +23.5
Strickland 33.7 55-41 94.8 73.9 +20.9
TEAM 40.0 67-55 97.1 79.7 +17.4
Henson 30.5 43-36 81.1 69.9 +11.2
Barnes 31.6 48-44 87.3 80.0 +7.3
Bullock 11.7 19-24 90.5 106.7 -16.2
Hubert/White 1.3 3-4 150.0 133.3 +16.7
Watts 1.1 0-4 0.0 266.7 -266.7
+/- by Backcourt
Combo Minutes Pts-Pts-All.
Marshall-Strickland 27.8 48-31
Marshall-Bullock 4.5 9-10
Strickland-Hairston 3.7 7-4
Strickland-Bullock 2.2 0-6
White-Hairston 1.3 3-4
Marshall-Hairston 0.5 0-0
+/- by Frontcourt
Henson-Zeller 22.6 31-24
McAdoo-Henson 7.8 12-12
McAdoo-Zeller 7.2 21-11
McAdoo-Hubert 1.3 3-4
Watts-Zeller 1.1 0-4
Most-used Line-ups
Marshall-Strickland-Barnes-Henson-Zeller 22.1 31-24
Strickland-Hairston-Bullock-McAdoo-Henson 3.7 7-4
Marshall-Strickland-Hairston-McAdoo-Zeller 3.0 9-3
Marshall-Strickland-Barnes-McAdoo-Zeller 2.4 8-4

When Bullock and Hairston were paired together on the wings, I called Hairston the 2 and Bullock the 3. Continue reading

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Defensive Development in the Carolina System

New readers –

This is launch week on Tobacco Road Blues, the new site dedicated to Duke and UNC sports. This afternoon's post comes from Adrian Atkinson, a contributing writer. He'll be covering UNC sports, and basketball in particular. If you're interested in writing for TRB, follow the contact link to the right. Enjoy.

 

-Shane

Quantitative Look at Defensive Development in the Carolina System

Conventional wisdom declares that experience matters in college basketball, especially on the defensive end of the court. While effective defense is a function of myriad physical traits—lateral quickness, length/wingspan, and strength, to name three—it is also heavily dependent on a player’s mental attributes. The ability to communicate with teammates, to make crisp and timely help rotations, and to execute the nuances of a complicated defensive scheme are all things that can be mastered irrespective of a player’s level of athleticism. But they can rarely be mastered without a healthy dose of experience. Shared court time with teammates—both on the practice floor and in game situations—is essential for developing the type of defensive IQ and chemistry that all championship-caliber teams have.

Moreover, there is an interaction effect between a player’s experience and his physical traits. By reacting instinctively rather than thinking, a defender can gain a half-step of quickness that might be the difference between a successful help rotation and an unsuccessful one. On the other hand, a player who is not yet acclimated with a defensive scheme can often look paralyzed with indecision on the court. This lack of experience and defensive understanding can erroneously manifest itself as a lack of quickness or effort.

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The Photoshops

New readers –

This is launch week on Tobacco Road Blues, the new site dedicated to Duke and UNC sports. All week, we’re going to be running two of the ‘greatest hits’ from Seth Curry Saves Duke!, our previous blog, every day. The new content begins on Monday the 15th.

Today’s morning post is actually a compilation of all the “graphic illustrations” produced in the last year. I put that term in quotes because using it without them would probably insult anyone who did actual graphic illustrations. A great professor named Bart Wojdynski taught me how to use Adobe Illustrator at some point in February, probably thinking I would use the knowledge for something educational or morally uplifting. Didn’t happen. Everything that follows is crude, and the bias level is high in a way that will be less typical of TRB. Enjoy.

-Shane

 

My first effort, the “Choose Your ACC Team” flowchart, done in early January

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