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Preview: Kansas at Southern California Print E-mail
Dec 1, 2007

Kansas at Southern California (Los Angeles, CA)

 KansasSouthern California

Performance Indicators

  
Record6-0
6-1
AP Rank4
22
Pomeroy Rating
(Updated daily)
8
26 
Consensus Ranking
(Updated periodically - avg several computer ratings and polls)
4
30
Best opponents defeated this season
(Ranking from Pomeroy)

vs Arizona (#47) W 76-72 (OT)
vs Louisiana-Monroe (#152) W 107-78 

vs Cal St Fullerton (#120) W 91-65
vs Northern Arizona (#209) W 76-69
RPI
(Used for schedule strength, not team strength)
58
75 

Predictions
Different techniques' predictions for this game.

  
Vegas OddsmakersWin by 3.5
Est. Projection: 72-68
 
Prediction Tracker
(Average of several power ratings)
Win by 2.4
(Not enough data for good accuracy)
 
Sagarin Power Ratings (Predictor)Win by 3.5
(Not enough data for good accuracy)
 
Pomeroy
(Efficiency and Tempo-Adjusted)

Win 70-67
(Not enough data for good accuracy)

 
Last 10 Games (Venue Adjusted)
(Uses team performance and consistency over last 7 home/non-home games, whichever pertains to this game + 3 other most recent games regardless of location.  If 7 venue-appropriate games not available, other recent games used to make 10 total.)
Win by 5.3
73.0% chance of victory
(Not enough data for good accuracy)
 
Weighted Average of All Models Above
(30% Vegas + 20% Prediction Tracker + 15% Sagarin + 15% Pomeroy + 20% Last 10)

Win by 3.6
Est. Projection: 71-67
(Not enough data for good accuracy)

 

 

PSAN-Related Player Ratings - Cumulative This Season


Note: ePSAN70 weighs recent games more, but cPSAN70 weighs all games equally

Kansas

ePSAN70 ("Efficiency" - per 70 possessions)
ePSAN ("Total Impact")

 

PLAYER ePSAN70 ePSAN
Conner Teahan* 16.04 9.26
Tyrel Reed 6.19 9.54
Rodrick Stewart 5.82 17.67
Darnell Jackson 5.61 18.35
Brandon Rush 5.16 10.93
Mario Chalmers 4.52 19.33
Cole Aldrich 4.50 6.87
Sherron Collins (OUT)
4.36 6.01
Sasha Kaun 3.56 10.35
Darrell Arthur 3.49 13.38
Brennan Bechard* 3.02 0.83
Jeremy Case* 1.30 1.58
Russell Robinson 1.17 4.81
Matt Kleinmann* 1.07 0.40
Brad Witherspoon* -4.28 -0.97
Chase Buford* -19.93 -4.98

 

 

* Rating not based on enough data.

Southern California

cPSAN70 ("Efficiency" - per 70 possessions)
cPSAN ("Total Impact")

  

PLAYER cPSAN70 cPSAN
Davon Jefferson 7.92 17.02
Daniel Hackett 4.88 23.91
O.J. Mayo 4.42 27.12
Keith Wilkinson 4.35 6.82
Taj Gibson 3.63 18.07
Kasey Cunningham 0.48 1.36
Dwight Lewis 0.47 2.50
Angelo Johnson 0.33 1.25
Terence Green* 0.00 0.00
RouSean Cromwell -0.08 -0.08
Kyle Austin (QUESTIONABLE)
-1.39 -0.60
Marcus Simmons* (QUEST.) -1.61 -0.43
Ryan Wetherell* -4.19 -1.52

 

* Rating not based on enough data.


Player Analysis:

(largely in context of ratings above)

 

The Trojans are clearly O.J. Mayo's team.  But the statistical ratings so far indicate he's not been the most efficient.  Mayo shoots an impressive 56.9 eFG%, with twice as many attempts as the next-leading shot taker.  His biggest flaw is that he turns it over 4.4 times per game.  That basically negates about 4 or 5 possessions a game for USC, and it's enough to turn superstar ratings into solid ratings.  Nevertheless, this game will largely hinge on whether Mayo brings his "A" game or not, mostly his TO's and eFG%.

 

Three other players join Mayo to form the group of four key contributors for USC.  Davon Jefferson is a 6-8 freshman forward who missed the first three games but has come alive since his return.  He shoots a sensational 68 eFG% (all 2FG's) and is only beginning to play the real minutes he's capable of playing.  Daniel Hackett not only sets up his teammates (5 AST) but has sizzled from the field (59.5 eFG% - 60% 3FG).  Taj Gibson leads the team in rebounds per game (8.4) but does so at the expense of too many fouls.  He hasn't shot all that well either (48.1 eFG%).

 

Dwight Lewis is the other starter, but he hasn't had the numbers yet this season.  He's a respectable 50 eFG% shooter but struggles mightily from behind the arc (29%).  He also doesn't do much else that shows up in the boxscore.  It is unclear whether Austin or Simmons will be available for this game, although Simmons doesn't play many minutes, and Austin didn't register much of anything in his 18-minute performance this season.

 

It's a more balanced picture for the Jayhawks.  Six Jayhawks sport efficiencies over 4.00, and one of those who doesn't is projected to be a 1st-round draft pick (Arthur).  Most every player shoots well except for Kaun and Aldrich.  Nagging tendinitis for Robinson could spell further struggles, but the return of the freshman guard Reed should help.

 

 

Highlighted Efficiency Rankings
Note: There are 341 Div-I teams
(Source: KenPom.com)

Kansas

Southern California

  • Offense #19 - Defense #12 - Tempo #142
  • Nation's 3rd best eFG%, including #34 3FG%, #2 2FG%
  • Dominate the TO category (#22 limit own, #8 forced)
  • Terrible FT% (#284)
  • Dominate the BLK category (#17 limit own, #7 block opp)
  • Rank #4 in STL rate
  • Very high % of FG's assisted (#12)

Individual Player Highlights: (not yet listed)

  • Offense #54 - Defense #23 - Tempo #130
  • Excellent at limiting opp OREB% (#46)
  • Opponents limited to terrible use of FT line (#8 opp FT Rate)
  • Very low percent of FGA's are from 3FG (#324)

Individual Player Highlights: (not yet listed)

Scoring Distribution:
  • On offense, KU relies somewhat more on 2FG's but unusually low amount on FT's, while its opponents rely most heavily on 3FG's.
  • On offense, USC relies less than average on 3FG's, while its opponents rely a lot on 3FG's but extremely little on FT's.

 

 

Statistical Strengths and Weaknesses Analysis

 

** Denotes that team with advantage also ranks in Top 50 in that category
Clear Advantage for Kansas No Clear Advantage Clear Advantage for USC
USC TO rate**    
USC % Poss STL by Opp**    
Kansas TO rate**    
USC OREB    
  USC % own 2FGA's blocked  
  Kansas 2pt FG%  
  Kansas % own 2FGA's blocked  
  Kansas eFG%  
  USC 2pt FG%  
  Kansas 3pt FG%  
  USC PTS/Poss  
  USC FT%  
  Kansas PTS/Poss  
  Kansas % Poss STL by Opp  
  Kansas FT%  
  USC FT Rate  
  USC eFG%  
    Kansas OREB**
    USC 3pt FG%
    Kansas FT Rate**

 

************************** 

Kansas will take above avg % of its FG's from 3-pt
Expect average-paced game
 

 

 

Game Projections

(Not a prediction.  Read more details in "FAQ & Terms" section.)



Manual Adjustment

Rationale 

 Brandon Rush to play 30 minutes for KU
Recovery from injury has limited his average minutes, but it is clear that Coach Self will play Rush more in closely-contested games such as this is one.  Reasonable to assume he'd play 35 minutes, but Self's recent comment in interview indicated that he does not want to play him more than 30 minutes. 
 Conner Teahan to play 0 minutes for KU

He averages more than 5 min/gm (threshold for my inclusion in my projections), but it is not reasonable to expect that he will play in such a game.

 Sherron Collins to play 0 minutes for KU
Injured
 Davon Jefferson to play 30 minutes for USC
Similar to Rush, he is coming off an injury and clearly is up to playing 30+ minutes, as evidenced by his 30 minutes against OU this week. 
 Kyle Austin and Marcus Simmons to play 0 minutes for USC
Questionable due to injury, plus data is very limited and may skew projections. 

 

Projected Boxscore

(Not enough game data for accuracy)

 

Kansas 72                            
USC 67                            
                               
Kansas                              
NAME MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Brandon Rush 30 3 6 3 6 2 2 17 1 4 5 1 2 2 1
Cole Aldrich 10 1 2 0 0 1 1 3 1 2 3 0 1 1 1
Darnell Jackson 21 3 6 0 1 2 2 8 2 3 5 0 2 1 1
Darrell Arthur 25 4 9 0 1 2 3 10 1 4 5 1 2 1 1
Jeremy Case 8 1 1 0 1 0 0 2 0 0 0 2 1 0 0
Mario Chalmers 28 2 4 2 4 1 2 11 0 2 2 4 2 2 0
Rodrick Stewart 20 2 3 0 1 1 2 5 1 2 3 3 2 1 0
Russell Robinson 27 1 1 1 4 1 2 6 1 2 3 3 3 1 0
Sasha Kaun 19 3 4 0 0 1 3 7 1 3 4 0 1 1 1
Tyrel Reed 12 0 1 1 3 0 0 3 0 1 1 1 0 0 0
TOTALS 200 20 37 7 21 11 17 72 8 23 31 15 16 10 5
                               
USC                              
NAME MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
O.J. Mayo 33 4 8 3 9 2 2 19 1 3 4 3 5 2 0
Dwight Lewis 28 2 5 1 2 1 2 8 1 1 2 1 2 0 0
Taj Gibson 26 3 6 0 0 2 3 8 3 4 7 1 3 1 1
Daniel Hackett 30 2 4 1 2 2 3 9 0 4 4 5 2 1 0
Davon Jefferson 30 5 8 0 0 5 7 15 2 4 6 1 3 1 1
Angelo Johnson 20 1 2 1 2 1 1 6 0 1 1 2 2 1 0
Kasey Cunningham 15 1 2 0 0 0 1 2 1 2 3 0 1 0 0
Keith Wilkinson 10 0 2 0 1 0 0 0 1 2 3 0 0 0 1
RouSean Cromwell 8 0 0 0 0 0 1 0 1 1 2 0 1 1 0
TOTALS 200 18 37 6 16 13 20 67 10 22 32 13 19 7 3

 

 

Projected Four Factor Performance

 

  • eFG% - Advantage KU 53-51%.
  • TURNOVERS - Advantage KU 26-22%
  • OFFENSIVE REBOUNDING - Advantage USC 30-27%
  • FREETHROW RATE (FTM/FGA) - Advantage USC 25-19%
  • OVERALL - Fortunately for KU, their advantages fall in the two more important categories (eFG% and TO rate) and are just enough to offset the expected advantages for USC in OREB% and FT Rate.  TO Rate is the slightly bigger margin maker for KU.

 

Player Ratings Projections

 

 

Kansas

USC

 Highest Game Impact (cPSAN)
 Brandon Rush
 Davon Jefferson
 Highest Efficiency (cPSAN70) Cole Aldrich
(Projection may be invalid since
Self may end up playing Aldrich
sparingly compared to avg)
 Davon Jefferson
 Highest cPSAN70 compared to season avg Cole Aldrich, Brandon Rush
 Angelo Johnson, RouSean Cromwell
 Lowest cPSAN70 compared to season avg
 Tyrel Reed, Rodrick Stewart
 Keith Wilkinson, Kasey Cunningham

 

Sports and Numbers Projection

Kansas wins 72-67

 

 

Pre-Game Keys to Watch For

Keys to Watch For

Metric

Result

Edge (Comments)

One of KU's two biggest determinants of offensive efficiency has been its OREB%, which for the first time this season is projected to be a disadvantage.  KU must hit the offensive glass. KU to grab at least 33% of available OREB   
Biggest key to USC's defensive efficiency is its opponents' eFG%.  KU has nation's #3 eFG%. USC to hold KU below 50 eFG%
  
Freshman sensation O.J. Mayo takes twice as many shots as any other USC player and shoots at an excellent percentage.  He is only a few TO's per game away from having superstar efficiency ratings. Mayo to limit his TO's to 3 or fewer and shoot 50 eFG% or better.