Preview: Kansas vs. UCLA (West Regional Final)

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Cross-posted from HackTheBracket.

This should look a whole lot like the previous round games for these teams. UCLA is playing the best defense in the tourney, and will try to slow down Kansas, just like Southern Illinois did.

The efficiency predictions look quite sensible. UCLA has played slightly better in the three NCAA Tournament games but Kansas was playing slightly better at the end of the regular season/during the conference tournament.

If Kansas can return to their normal levels of turnovers committed and defensive rebounds garnered, they’ll be dangerous for UCLA. Despite an outstanding defensive performance overall from Southern Illinois, Kansas did shoot 60.7 eFG% and that was their worst shooting performance of the tournament so far. UCLA (70.4 DR% on the season) should, however, be able to keep Kansas off the offensive glass when the Jayhawks do miss a shot.

The biggest problem UCLA will pose for Kansas is deciding which of Arron Afflalo or Josh Shipp Brandon Rush will guard down the stretch. Shipp’s numbers are certainly helped by the attention Afflalo draws from opposing defenses, but they aren’t really that different.

Name %Min eFG% FT% PPWS Pts A TO BS S OR% DR%
Afflalo 83.2 54.0 80.0 1.16 30.7 3.7 3.2 0.5 1.2 1.5 8.9
Shipp 72.5 53.3 77.0 1.15 27.4 5.1 3.7 0.5 2.4 4.9 11.0

If it comes down to free throw shooting, expect both fan bases to be covering their eyes. Kansas and UCLA both shoot 66.3% from the line on the year.

FIRST 3 GAMES ADJ. EFFICIENCY

Tempo Offense Defense Overall
Kansas 71.3 127.5 87.0 .9831
UCLA 61.7 110.6 73.0 .9903

EFFICIENCY PREDICTIONS

  • Full Season Prediction … Kansas 65, UCLA 63
  • Last 10 Prediction … Kansas 68, UCLA 63
  • Vs. Good Prediction … Kansas 67, UCLA 66
  • Trendline Prediction … Kansas 66, UCLA 61
  • Tourney So Far Prediction … UCLA 62, Kansas 60

UPDATED GRAPHS

Kansas team capsule
UCLA team capsule

Preview: Kansas vs. Kentucky (2nd Round–NCAA Tournament)

Contrary to popular perception (or at least my perception of popular perception), Tubby Smith’s 2006-07 Kentucky team is an excellent shooting team that struggles to guard their opponents. Of course, Kentucky went out and beat Villanova in atypical fashion last night. A solid defensive performance made up for their field goal shooting being merely adequate rather than outstanding.

The 0.94 points per possession Kentucky allowed last night marked the first good defensive performance (less than one point allowed per possession) from the Wildcats since they held Florida to 0.95 points per possession in Rupp Arena ten games ago. Extending Kentucky’s defensive slump, in the two games preceding that Florida game, the Wildcats allowed 1.24 points per possession to South Carolina, and 1.09 points per possession @Arkansas. (It should also be noted that when Kentucky visited Florida, the Gators shot 73 eFG% and rebounded half of their misses en route to scoring 1.29 points per possession.)

KENTUCKY DEFENSE v. KANSAS OFFENSE

(at-risk games only)

Team eFG% OR% TO% FT Rate FT% PPP
UK def 48.2 32.8 18.9 31.2 64.7 1.01
KU off 51.5 38.6 21.1 24.0 65.1 1.07

Kentucky’s at-risk profile includes home wins over Miami, OH, Eastern Kentucky, Indiana, and Tennessee (without Chris Lofton), neutral court wins over DePaul, Chattanooga, Alabama, and Villanova, road wins over Louisville, Ole Miss, South Carolina, and Arkansas, home losses to Vanderbilt and Florida, neutral court losses to UCLA, Memphis, and Mississippi State, and road losses to North Carolina, Georgia, Tennessee, Alabama, Vanderbilt, and Florida.

With the exception of the game against Tennessee (again, without Lofton) at home, Kentucky’s outstanding defensive performances (less than 0.9 points per possession allowed) in at-risk games all occurred in mid-January or earlier: Miami, OH, vs. Chattanooga, Indiana, @Louisville, and @South Carolina.

Kentucky’s defensive numbers have been helped by their opponents’ poor free throw shooting. They allowed 1.04 points per possession in SEC play despite their conference opponents shooting just 62.7% from the free throw line. This is the rare instance where a typical performance at the free throw line from the Jayhawks could hurt their opponent.

It may not matter, though, as Kentucky’s performance in the other three factors are what have kept them slightly below average defensively. Kansas’s penchant for making a good percentage of their field goal attempts and rebounding a high percentage of their missed shots should trouble a Kentucky team who isn’t very good at forcing misses and just adequate at protecting their defensive glass. Against Kansas these tendencies may be magnified if Kentucky continues to struggle to force turnovers.

KENTUCKY OFFENSE v. KANSAS DEFENSE

(at-risk games only)

Team eFG% OR% TO% FT Rate FT% PPP
UK off 54.0 33.8 22.2 24.2 69.6 1.08
KU def 44.6 31.7 23.0 35.3 67.6 0.93

Kentucky’s offense performed quite similarly to Kansas’s in at-risk games. The Wildcats make a few more shots and rebound a lower percentage of their misses. The frequency with which they turn the ball over will necessitate that they make a typical percentage of their field goals. That’s extremely difficult to do against Kansas. Kentucky has a shot at doing so, though, as Sheray Thomas is the only player in the Wildcat rotation to shoot less than 50 eFG% or score less than 1.07 PPWS.

There’s littel doubt that NBA free agent Randolph Morris will test Sasha Kaun defensively. If Kaun continues to establish good defensive position and let the double-teamer harass the opposition’s best post scorer, Kansas can be expected to limit Morris’s effectiveness. Though he’s Kentucky’s best scorer (both in terms of volume and efficiency) Morris is not a particularly good passer (2.4 A/100 against 4.7 TO/100) so effective double-teams in the post could cause Kentucky’s offense to stagnate.

On the perimeter, Kansas’s guards will need to refrain from gambling for turnovers against Kentucky’s guards, instead forcing them into the heart of the KU defense for difficult field goal attempts. Ramel Bradley (5.0 TO/100) and Derrick Jasper (6.0 TO/100), especially, will probably turn the ball over often enough due to the basic ball pressure and swarming interior defense Kansas typically musters.

Bradley, Joe Crawford, and Jodie Meeks combine to take half their shots from beyond the three-point arc, making 37.2, 35.3, and 36.5% of those shots respectively. The guard trio troubles defenses because they are quite good at converting the two-point shots they attempt as well. Crawford shoots 52.6% inside the arc, Meeks makes 50.5% of his two-point shots, and Bradley converts on 49% of his attempts.

Kentucky’s balanced and efficient offense will test Kansas’s outstanding defense. The Wildcats are capable of getting hot enough that the opposing defense can effectively cease to be relevant for stretches of a game. What should encourage Kansas fans is that the Jayhawks have survived such performances from Texas each of the last two weekends. For all Kevin Durant did in the first halves of those games, Kansas held Texas 2% below their season average offensive efficiency in Lawrence, and 8% below their season average offensive efficiency in Oklahoma City.

Kentucky isn’t as good offensively as Texas (though they’re probably an equal amount better defensively than the Longhorns) so supressing their offense by 6-8% would put them far enough behind Kansas’s expected offensive efficiency against a mediocre defense to keep the game from coming down to the final possessions.

Prediction: Kansas 73 Kentucky 62

Preview: Kansas vs. Niagara (1st Round–NCAA Tournament)

David’s excellent efficiency preview available here and at HackTheBracket (along with 31 other previews of equal quality).

Niagara is better than a typical 16-seed and their offensive efficiency is their clear strength. Unfortunately for the Purple Eagles, their offensive efficiency is a clear strength in part due to their defensive efficiency being a clear weakness.

Considering that Niagara’s three toughest games consisted of (with efficiency margins in the parentheses) hosting Akron (-25), hosting St. John’s (-33), and playing Holy Cross (+13) at neutral site, their performance in at-risk games (admittedly impacted by leading scorer Charron Fisher missing 7 of Niagara’s 25 at-risk games, including the losses to Akron and St. John’s) doesn’t suggest they can expect to compete with Kansas for 40 minutes.

NIAGARA OFFENSE v. KANSAS DEFENSE

(at-risk games only)

Team eFG% OR% TO% FT Rate FT% PPP
NIA off 47.6 38.6 19.6 27.7 74.1 1.07
KU def 45.2 31.8 22.9 34.4 67.6 0.93

Niagara will likely shoot even worse than normal from the field against Kansas’s defense and it’s even more unlikely that Niagara will be able to match their usual offensive rebounding rate. Even with his outstanding shooting performance Tuesday night in Dayton, Clif Brown is just a 46.4 eFG% shooter on the season. Charron Fisher (50.9 eFG%), Tyrone Lewis (50.2 eFG%), and JR Duffey (51.4 eFG%) all shoot better than Brown, but none of them would rank higher than 7th in eFG% on Kansas’s stat sheet. If they’re struggling to create easy shots against the 288th rated defensive schedule in the country, then Kansas should cause them fits.

Let me make this clear: Kansas is an oustanding defensive team. There are other important factors for the team entering the NCAA Tournament: pace of play (Niagara should cooperate with that in the first round), field goal shooting (just 49.1 eFG% in the Big 12 Tournament), and health (I’d rather they not have to try and win six games in a row without one or more members of the eight-man rotation) but any prolonged success they have in this tournament will be due first and foremost to their defense.

In Ken Pomeroy’s adjusted defensive efficiency rankings, Kansas is 2.8 points per 100 possessions better than the second-placed team. The difference between first and second is greater than the difference between the second- and twelfth-ranked teams.

Kansas emerged as a national title contender because their offense improved over the course of the season but the underlying, constant reason for Kansas’s recent success has been the team’s defensive play. (Again, David represents this excellently in graph form.)

(more…)

Preview: Kansas vs. Oklahoma (Big XII Tournament)

posted by Hoopinion on 3/8/2007 - -

(Thoughts prior to and following the first meeting between these teams.)

UPDATE: Michael Neal expects to play. Darrell Arthur may play limited minutes due to a stomach virus. Ken Pomeroy looks at the effect of playing on consecutive days against a team which is rested.

The effort exerted to get past Iowa State this afternoon will only exacerbate the quick turnaround Oklahoma must complete before facing Kansas. The Sooners only go eight deep (though, if Jeff Capel wants to give Chris Walker some minutes I don’t think any Kansas fans will protest) and rely on Nate Carter (31.3 Pts/100) for the bulk of their scoring. If Michael Neal is again unable to play due to illness and with Longar Longar appearing to have fallen out of favor (or at least fallen to the end of the rotation), Tony Crocker would be the Sooners’ only realistic second scoring option on the court much of the time.

OKLAHOMA OFFENSE v. KANSAS DEFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
OU off 47.0 35.8 19.5 27.26 74.6 1.05
KU def 43.8 27.8 22.1 35.0 66.0 0.90

Even with all their free throw attempts and a meaningless three at the buzzer, Oklahoma only scored 0.92 points per possession in the first meeting. It seems to me far more plausible that Kansas (0.96 points per possession @Oklahoma) improves their offensive performance in the rematch. Kansas is the only one of Oklahoma’s last eight opponents to fail to score at least one point per possession against the Sooners (a stretch that includes two Oklahoma/Iowa State games).

OKLAHOMA DEFENSE v. KANSAS OFFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
OU def 48.4 31.5 20.5 43.6 70.5 1.02
KU off 55.5 37.5 19.9 23.4 65.6 1.14

The danger for Oklahoma is that Kansas could conceivably convince themselves that they have something to prove in this game. The second half of the game in Norman 10 days ago saw the Jayhawks completely befuddled by the Sooners’ three-quarter court pressure in the second half en route to giving up every bit of a seventeen-point lead.

Even more than their poor free throw shooting, Kansas’s penchant for turning the ball over in bunches worries me as we approach the single elimination portion of the season. Kansas turned the ball over on 23% of their possessions in Norman, on 24% of their possessions @Kansas State, and on 25% of their possessions against Texas A&M. Each of those turnover rates is at least 15% higher than Kansas’s season average. (Worse than that, really, as I haven’t put in the time to figure the season average without those games as a comparison.)

That being said, Kansas is a lot better than Oklahoma, there are no injury or illness worries for Kansas, and Kansas won’t be playing their second game in 24 hours. The Jayhawks should win handily. If the game is even nearly as close as it was in Norman, it will be a credit to the Sooners.

Prediction: Kansas 72 Oklahoma 58

Efficiency Preview: Big 12 Tournament

The Big 12 tourney starts in a couple days. Here’s the schedule if you haven’t already seen it. Now let’s get right to the numbers. First, here’s how all the teams have been playing over the last 10 games:

Last 10 Games Adjusted Efficiency Averages
Team Seed Tempo Rnk Offense Rnk Defense Rnk Pythag Rnk
Kansas 1 69.8 3 126.6 3 80.7 1 0.9944 1
TexasA&M 2 65.1 7 126.8 2 90.3 2 0.9803 2
Texas 3 67.1 5 128.9 1 94 5 0.9742 3
KansasSt 4 64.6 8 119.1 4 97.8 7 0.9059 4
TexasTech 5 64.3 9 113.5 7 99.7 9 0.8163 8
Missouri 6 69.8 2 117.4 6 98.6 8 0.8811 6
OklahomaSt 7 65.8 6 108.9 9 101.9 10 0.6834 10
IowaSt 8 62.7 10 97.8 12 93 4 0.642 11
Oklahoma 9 61.4 11 109.5 8 90.9 3 0.8947 5
Nebraska 10 61 12 104.4 11 94.6 6 0.7552 9
Baylor 11 67.2 4 118.6 5 103.4 12 0.8291 7
Colorado 12 71.1 1 107.1 10 102.7 11 0.6195 12

stats glossary

Hey, Colorado’s 1st in something? What the… oh, tempo. OK. Looking at the Pythagorean rating, the top 3 teams here are no surprise. What might surprise you is that if I made this same chart for ALL of Division I NCAA basketball, those three would be ranked 1st, 5th, and 8th. Texas has officially joined the party. Even more surprising is that all three are top 5 in offense. I haven’t actually run the numbers on ALL teams, so the ranks in this next table are where they rate among the 78 that I have looked at. Any team with an outside shot at a 12-seed or better in the big dance was included, along with all Big 12 teams.

Last 10 Games Rank Among All Teams Within Shouting Distance of Getting an At-Large Bid to the NCAA Tournament
Team Tempo Offense Defense Pythag
Kansas 7 5 2 1
TexasAM 36 3 20 5
Texas 18 1 41 8

I’d be shocked if somebody outside that group cuts down the nets in Oklahoma City. That said, if it happens, it’s bound to be a team out of the KU side of the bracket. Any dark horse from the other side will have to take down KU, A&M, and Texas. Sorry, but nobody’s winning a tournament by beating all three top-10 rated Big 12 powers in consecutive games. That’s impossible.

I’m talking a lot about the top seeds here because I’m not going to have time to do individual game previews of the later rounds. Don’t worry, we’ll get to everyone else right after this page break. (more…)

Efficiency Preview: Texas at Kansas

Click here for the preview that actually gives you some ideas about how this game’s going to be played. Read on for the one with pretty graphs and hand waving. Format is the same as last time, so you can skip the next paragraph unless you need a refresher. (And for reference, here is the original post that kind of explains what I’m doing).

After the break, for both teams I’ve included a graph that charts the offensive and defensive ratings for each game of the season. Keep in mind that for the defensive rating, lower is better. For both offense and defense, I’ve included a trendline showing roughly how each unit has progressed over the year. The dotted line shows the national average efficiency. I’ve also included the average ratings for their last ten games, to give a snapshot of how the team is playing right now. To give these numbers some context, I show where this would rank in the full-season stats, and what team’s full-season rating is the closest. (more…)

Preview: Texas at Kansas

posted by Hoopinion on - -

I attended the de-facto conference championship game against Oklahoma State in the Fieldhouse on March 5, 1995. Two guys played the games of their respective lives. Randy Rutherford scored 45 points for Oklahoma State and Greg Ostertag, on Senior Day and with an assist from Scot Pollard, held Bryant Reeves scoreless. (My memory had conflated Greg Gurley’s five made three-pointers against Colorado the previous season with his 13 point, 12 minute performance against the Cowboys in this game. Considering the stakes, if you want to include Gurley with Rutherford and Ostertag, I won’t argue.) It was a great game. Rutherford was spectacular and a Kansas partisan could enjoy his performance because the rest of his teammates only scored 17 points and the Jayhawks won by 16.

On that day in 1995, the hoary maxim, “One guy can’t beat you,” held true. I think the validity of that sentiment could be relevant tomorrow as well.

Kevin Durant is so good that, if I may continue to write primarily in cliches, you can’t stop him you can only hope to contain him. to wit:

Name %Min eFG% PPWS Pts/100 A/100 TO/100 S/100 BS/100 OR% DR%
Durant 86.0 54.5 1.20 41.0 2.3 4.5 2.8 3.0 9.7 24.7

stats glossary

He scores a ton and he scores efficiently. He gets a block or steal on almost 6% of Texas’s defensive possessions. He dominates the defensive glass, and his offensive rebounding numbers may be artificially deflated by his own excellence (i.e. Texas probably misses more shots than average when Durant is off the floor).

Now, Texas will at times help their opponent in containing Durant. DJ Augustin and AJ Abrams will look for their own shots (as they should considering how frequently they make shots) and Durant can become too reliant on the three-point shot (see Texas’s losses @Oklahoma State and @Villanova).

Considering that Durant should be able to shoot over whichever Jayhawk is guarding/attempting to guard him, I contend that Kansas should live with whatever offensive damage Durant can inflict and focus on denying Abrams and Augustin open looks.

Regardless of the strategy employed by the Jayhawks, I am extremely excited to see how Kansas’s defense will perform against an outstanding offensive team.

TEXAS OFFENSE v. KANSAS DEFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
UT off 54.8 35.8 18.3 31.6 73.3 1.18
KU def 42.7 28.1 22.6 36.7 65.4 0.88

If tomorrow’s game splits the difference between the two team’s average performances, Texas will post the third most efficient offensive performance of a Big 12 team facing Kansas (1. @Texas Tech: 1.06 points per possession, 2. Texas A&M: 1.04) Kansas’s worst (unadjusted) defensive performance of the year came against Florida in Las Vegas. In that game, the Jayhawks allowed 1.12 points per possession.

To further put Texas’s offensive prowess in perspective. Their average performance in Big 12 play is equal to Kansas’s offensive performance against Florida in Vegas or @Missouri.

Texas has scored more efficiently at home than on the road. In their near-losses @Nebraska and @Baylor, they scored only 1.02 and 1.05 points per possession, respectively. In their January visit to Villanova, they scored just 0.93 points per possession. On the other hand, Texas scored 1.10 (in College Station) and 1.22 (in Austin) points per possession in their two matchups against Texas A&M’s fine defense.

Texas has to play well offensively because they don’t play very good defense.

TEXAS DEFENSE v. KANSAS OFFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
UT def 48.8 35.5 18.6 26.8 70.9 1.05
KU off 55.1 37.6 20.0 23.6 66.5 1.13

Suffice to say that, as much as Durant and Augustin have brought to the Texas offense, neither they nor any other of the Longhorns’ newcomers have replaced LaMarcus Aldridge or PJ Tucker’s skills as defenders. Prior to their game @Oklahoma, Texas had not held an opponent to less than one point per possession in a game played outside of Austin since their November 16th game against Michigan State in Madison Square Garden.

Texas primarily plays a 2-3 zone where neither Augustin nor Abrams gamble much in the passing lanes. If Kansas is patient in the half-court, they should find plenty of space to operate on the wings, at the top of the key, and in the high post. If Kansas finds a way to turn the ball over despite relatively lax defensive pressure, Texas’s defense will be aided immensely.

At times, I have seen Texas switch to a 3-2 zone with Durant at the top. Durant does not seem especially comfortable defending at the top of the key and in the Texas games I’ve seen, Rick Barnes has used this strictly as a change of pace defense, never for more than two or three possessions in a row.

The teams’ season averages and the location of the game suggest that Kansas should be a fairly comfortable favorite in this game. (This Texas team is a better version of the offense-yay!, defense-meh 2005 squad that got blown out in their visit to Lawrence. I doubt anyone would argue that this Kansas team isn’t superior to their 2005 edition as well.) However (with the exception of the Big 12 South teams), every time Kevin Durant steps on the court this year he presents a problem the opposing team hasn’t faced before. I don’t know how Kansas is going to defend him or how their defensive strategy will impact their ability to also defend Augustin and Abrams effectively.

Texas will most likely play at Kansas’s pace. Texas will most definitely play at Kansas. Under those conditions Kansas wins this game 8 out of 10 times by my estimation. To finish where this preview began, they only play this game once. And you don’t play games on paper. You can throw the records out (though, please throw them someplace nearby so we can determine the conference champion at game’s end) and anything can happen.

Prediction: Kansas 77 Texas 71

Burnt Orange Nation has awiggo’s excellent preview.

Seth Davis agrees = Hoopinion’s initial pangs of discomfort.

(Vanilla, Graph-free) Preview: Kansas at Oklahoma

posted by Hoopinion on 2/26/2007 - -

If you haven’t already, read this.

Now then, if you’ve bothered to return (and I don’t blame you if you haven’t)…

Oklahoma’s overall defensive efficiency ranking (15th in the country per Pomeroy) flatters to deceive.

DEFENSIVE EFFICIENCY

Team Overall Big 12 At-risk
OU 0.917 1.024 1.061
KU 0.849 0.877 0.929

“At-risk” constitutes all road and neutral games plus home losses in both of these cases.

It would be nice for Oklahoma were they a really good defensive team because (this is the part I write twice a week in this space:) they don’t figure to score very easily against Kansas.

OKLAHOMA OFFENSE v. KANSAS DEFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
OU off 47.7 37.1 19.4 25.3 73.9 1.06
KU def 43.0 27.9 22.8 36.3 64.5 0.88

Kansas leads the league in field goal defense and defensive rebounding. Oklahoma relies on their offensive rebounding to make up for their poor field goal shooting. They’re sort of like Kansas State with slightly worse three-point shooting and a higher turnover rate. Kansas State couldn’t get to a point per possession in either meeting with Kansas.

OKLAHOMA DEFENSE v. KANSAS OFFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
OU def 47.7 32.1 20.2 41.3 72.2 1.02
KU off 55.6 38.1 19.8 22.4 66.7 1.15

Oklahoma’s defensive profile is pretty average across the board with the exception of the high number of free throws they allow their opponents to attempt. Both creating and converting free throw opportunities remains Kansas’s greatest offensive weakness. If the Sooners give up two free throw attempts for every five Kansas field goal attempts, the Jayhawks will discover a previously untapped vein of point scoring opportunities. Here’s hoping they make some of them.

Oklahoma plays at a much slower pace (just under 62 possessions per game) than the Jayhawks (just under 70 possessions per game). The respective Iowa State games demonstrated the broad effect that dictating pace can have on a team’s performance.

The difference in talent and performance between Kansas and Oklahoma is such that Oklahoma cannot even afford to split the difference between the two teams’ preferred paces of play. They must keep this game at 62 possessions or less to have a chance to win. Nobody’s thoroughly reduced possessions against Kansas since the game in Ames.

Prediction: Kansas 74 Oklahoma 61

Efficiency Preview: Kansas at Oklahoma

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I posted an efficiency laden preview of the Ohio St vs. Wisconsin game over at yocohoops. I’m going to do the same thing here for the KU-OU game, but with less explanation of the numbers, since you PB readers have had a couple posts to get used to them. For reference, here is the original post that explains what I’m doing. There’s not going to be a lot of analysis, just numbers and graphs. Sorry about that, but I feel Hoopinion and Chalmersfan do a much better job of that than I do.

After the break, for both teams I’ve included a graph that charts the offensive and defensive ratings for each game of the season. Keep in mind that for the defensive rating, lower is better. For both offense and defense, I’ve included a trendline showing roughly how each unit has progressed over the year. Also, the dotted line shows the national average efficiency.

I’ve also included the average ratings for their last ten games, to give a snapshot of how the team is playing right now. To give these numbers some context, I show where this would rank in the full-season stats, and what team’s full-season rating is the closest. (more…)

Preview: Iowa State at Kansas

posted by Hoopinion on 2/23/2007 - -

Russell Robinson’s absence shouldn’t have much of an effect on the outcome of the game tomorrow because Iowa State can’t score. They’ve scored one point per possession or more in a road game exactly once this year season: November 21st, 2006 @Minnesota.

KANSAS DEFENSE v. IOWA STATE OFFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
KU def 43.4 28.0 22.4 37.0 64.3 0.89
ISU off 44.4 31.9 23.2 20.0 71.9 0.92

I’m still uncertain about the cause-and-effect relationship between Mike Taylor and Iowa State offense’s inefficiency. He has turned the ball over at least four times in 10 of 13 conference games and has turned the ball over seven or more times in a game on nine occasions this year. His eight turnovers in the win against Colorado this week put him back up over 10 turnovers per 100 possessions on the year (10.2). Plus, he misses a ton of shots. He’s made just 34.4% of 180 three-point attempts, 39.4% of 203 two-point attempts, and 69% of his 113 free throw attempts. While he’s on the floor, between 27.1 and 29.5 out of every 100 Iowa State possessions (depending on the specific breakdown of those free throw misses) result in a Mike Taylor turnover or missed shot.

Meanwhile, Rashon Clark, Corey McIntosh, and Dodie Dunson are each playing at least 57% of Iowa State’s minutes on the season without scoring more than 14 points per 100 possessions. Each of those three shoot a lower percentage from the floor than Taylor, suggesting that some of his turnover and missed shot volume derives from his teammates’ limitations.

There should be a lot of opportunities for the Jayhawks to get defensive rebounds in this game. That fact, and Iowa State’s tendency to play a big front line suggests that Kansas won’t be disadvantaged by playing Julian Wright on the wing in certain situations on Saturday.

KANSAS OFFENSE v. IOWA STATE DEFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
KU off 55.6 37.3 20.3 22.6 67.0 1.13
ISU def 47.7 31.3 19.2 32.7 69.9 1.00

Greg McDermott deserves credit for coaxing a competitive defensive performance out of the motley collection of players at his disposal. One thing I’ve learned from analyzing a 100-odd teams’ game logs this year is that it’s really hard to sustain respectable defensive efficiency numbers if you have a consistently inefficient offense.

It makes sense (or at least I’ve made it make sense in my head) that, if one assumes that, over time, it’s easier to score off of a forced turnover or defensive rebound than an opponent’s made shot, then turning the ball over a lot and missing a bunch of shots puts your defense at a disadvantage relative to an average team.

Thus, I propose that Iowa State’s overall average defensive performance in Big 12 games reflects (to some degree) the extreme inefficiency of their offense and I declare the Cyclones to be a slightly above average defensive team.

The bad news for them on Saturday is that Kansas will replace their least efficient scorer (tied with Sasha Kaun, anyway–and, it should be noted, Kaun and Robinson score more efficiently than every Iowa State player with the exception of Cory Johnson, who has played just 27% of Iowa State’s minutes on the year and attempted just 66 shots) by giving more minutes to Sherron Collins, Mario Chalmers, Brandon Rush, and (if Wright plays some on the wing) Darrell Arthur and increasing the likelihood that Iowa State will have to guard all five Kansas players at all times.

Besides, if there was one Big 12 team against whom I wouldn’t worry about Rod Stewart, Brady Morningstar, and/or Jeremy Case having to play 10 minutes, it would be Iowa State.

Early foul trouble for the healthy Kansas guards could keep Iowa State in the game for a half. Early foul trouble on Jiri Hubalek or Wesley Johnson could turn the Cyclones into the Maric-less Cornhuskers we saw in the Fieldhouse last weekend.

It’s hard to imagine Iowa State involved in a game that’s aesthetically pleasing, but it’s harder to imagine them keeping it close on the road against a good team.

Prediction: Kansas 76 Iowa State 58

Preview: Kansas at Kansas State

posted by Hoopinion on 2/19/2007 - -

The most unlikely thing to happen in tonight’s game is for Kansas State to make a high percentage of their field goal attempts. They’ve shot 50 eFG% or better in just four of their twelve Big 12 games, peaking at 54.7 eFG% against Missouri in Manhattan.

That’s right, Kansas State’s best shooting night in conference play is worse than Kansas’s average shooting performance (55.5 eFG%) in conference play.

KANSAS DEFENSE v. KANSAS STAE OFFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
KU def 43.8 27.6 23.1 37.4 63.9 0.88
KSU off 46.9 37.7 19.2 34.3 73.5 1.07

Despite their poor shooting from the field, the Wildcats score at about 94% of the efficiency at which Kansas does in conference play by rebounding a high percentage of their misses and making a lot of free throws. The game in Lawrence demonstrated that if you take away Kansas State’s offensive rebounds, their free throws won’t be enough to beat you. The Wildcats attempted 41 free throws in that game, making 30, and still failed to score a point per possession (0.985). Not because Kansas forced a lot of turnovers (19.7 TO%) or made Kansas State shoot an especially low percentage from the field (43.5 eFG%) but by limiting Kansas State to 19.4% of possible offensive rebounds.

If the Jayhawks can grab at least 70% of Kansas State’s misses tonight, it will be very difficult for the Wildcats to score.

KANSAS OFFENSE v. KANSAS STATE DEFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
KU off 55.5 37.1 20.0 21.9 67.9 1.14
KSU def 48.0 32.8 20.1 40.2 70.9 1.02

Kansas State’s defense has taken advantage of the worst offensive teams in the league but has struggled against the better offensive teams (as well as Missouri and Nebraska):

Opp PPP
@A&M 1.05
Tech 1.05
@MU 1.00
BU 0.95
@ISU 0.95
NU 0.81
MU 1.15
@UT 1.20
@KU 1.34
CU 0.83
@NU 1.16
ISU 0.74

As in non-conference play, Kansas State’s defensive struggles have been more pronounced on the road. Factoring in that it would not be a surprise if we look back after the season and see that Kansas’s offensive numbers peaked with the second Nebraska game, I expect Kansas State to do a much better job defensively tonight than they did in Lawrence (though it takes a massive amount of improvement to go from allowing 1.34 points per possession to anything resembling a good defensive performance). Kansas simply can’t be expected to make 60% of their shots and rebound 50% of their misses again.

Just as Kansas State entered the game in Lawrence riding an unsustainable hot streak from beyond the three-point line, Kansas’s three-point defense has been too good to be true (for an extended period of time) over the last four games. Kansas State, Missouri, Colorado and Nebraska have combined to shoot 20.4% from behind the arc. Whatever defensive boost Kansas gets relative to the first meeting by holding the Wildcats to fewer than 41 free throw attempts could very well be off-set by surrendering a couple more made three-pointers.

If Kansas State does a better job of controlling the tempo than they did in Lawrence (and they failed utterly in this respect in the first meeting), the game could be fairly close assuming Kansas misses a couple more shots and gets a few fewer offensive rebounds.

Prediction: Kansas 71 Kansas State 64

Preview: Nebraska at Kansas

posted by Hoopinion on 2/16/2007 - -

The Cornhuskers have shown signs of life since Kansas went up 39-6 in Lincoln on January 29th. They’ve won three of four, including road wins @Missouri and (in bizarre circumstances) @Texas Tech. Prior to this stretch, Nebraska had really struggled away from home against decent teams losing by at least 20 points per 100 possessions @Oregon (in Portland), @Oklahoma, and @Kansas State.

NEBRASKA OFFENSE v. KANSAS DEFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
KU def 44.6 28.9 23.2 38.6 68.5 0.91
NU off 51.5 21.2 19.2 25.0 69.4 1.01

Nebraska got in trouble against Kansas in Lincoln because they missed a ton of shots and purposefully make little-to-no effort to attack the offensive glass. Unless they have another 60+ eFG% night (like the one they used to beat Kansas State on Tuesday night) in them, Doc Sadler’s abdication of the offensive glass makes Nebraska poorly suited to contend against the Jayhawks because Kansas will almost certainly force more Nebraska turnovers than ususal.

With those two factors accounted for, there just aren’t enough possessions left over in which the Cornhuskers can score enough to keep up. Those outstanding shooting performances that got me too excited about Nebraska in the non-conference season came against Creighton, Rutgers, and Western Kentucky: two decent mid-majors and a team almost as bad as Colorado.

Again, in Big 12 games only:

Team 2PT FG% 3PT FG%
NU off 45.3 36.8
KU def 44.0 30.3

I don’t think the Nebraska players have it in them to go against the statistical record to the necessary degree for them to win in Allen Fieldhouse.

KANSAS OFFENSE v. NEBRASKA DEFENSE

(Big 12 games only)

Team eFG% OR% TO% FT Rate FT% PPP
KU off 54.5 37.6 20.8 22.3 68.5 1.12
NU def 49.5 34.6 21.4 31.3 76.1 1.05

In the end, Kansas didn’t shoot that well in Lincoln (50.8 eFG%) so any gains Nebraska might make on the defensive glass or in forcing turnovers will likely be negated by Kansas simply making shots at their average rate.

Prediction: Kansas 76 Nebraska 63