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Preview: Kansas at Georgia Tech Print E-mail
Dec 18, 2007

Kansas at Georgia Tech (Atlanta, GA)

 KansasGeorgia Tech

Performance Indicators

  
Record10-0
4-4
AP Rank3
NR
Pomeroy Rating
(Updated daily)
2
112 
Consensus Ranking
(Updated periodically - avg several computer ratings and polls)
2
90
Best opponents defeated this season
(Ranking from Pomeroy)

vs Arizona (#19) W 76-72 (OT)
@ Southern California (#22) W 59-55

vs Notre Dame (#20) W 70-69
vs Charlotte (#115) W 82-77
RPI
(Used for schedule strength, not team strength)
18
68

Prediction Models

  
Vegas OddsmakersWin by 10
Est. Projection: 80-70
 
Prediction Tracker
(Average of several power ratings)
Win by 10.8 
Sagarin Power Ratings (Predictor)Win by 12.4 
Pomeroy
(Efficiency and Tempo-Adjusted)

Win 87-65
97% chance of victory

 
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 21.0
97.8% chance of victory
 
Weighted Average of All Models Above
(30% Vegas + 20% Prediction Tracker + 15% Sagarin + 15% Pomeroy + 20% Last 10)

Win by 14.5
Est. Projection: 83-68

 

 

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* 15.89 12.70
Mario Chalmers 8.26 60.51
Cole Aldrich 6.46 15.63
Sasha Kaun 6.38 28.71
Darnell Jackson 6.23 37.21
Tyrel Reed 4.23 8.76
Russell Robinson 4.16 29.57
Rodrick Stewart 3.98 19.45
Darrell Arthur 3.84 24.30
Brandon Rush 3.73 18.37
Matt Kleinmann* 3.73 1.82
Sherron Collins 2.62 5.99
Jeremy Case* 2.57 4.22
Brennan Bechard* 1.35 0.42
Brad Witherspoon* -6.19 -1.65
Chase Buford* -18.68 -5.38

 

 

* Rating not based on enough data.

Georgia Tech

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

  

PLAYER cPSAN70 cPSAN
Jeremis Smith 4.83 28.32
Anthony Morrow 4.43 27.45
Ra'Sean Dickey (2006-07) 3.41  ------
Zach Peacock 3.40 4.73
Alade Aminu 2.73 11.53
Maurice Miller 0.55 1.15
Gani Lawal 0.50 1.65
D'Andre Bell 0.49 1.94
Matt Causey 0.09 0.34
Lewis Clinch -0.04 -0.22
Brad Sheehan -1.04 -1.63
Lance Storrs* -3.90 -4.72
Mouhammad Faye -6.30 -9.25

 

* Rating not based on enough data.


Player Analysis:

(largely in context of ratings above)

 

The first thing to note is that senior forward Ra'Sean Dickey has been academically ineligible the first semester.  Some sources indicated he would be playing in this game, but the latest report from Atlanta is that he will not suit up.  Last season, he wasn't a particularly efficient offensive performer.  He did pick his spots and didn't shoot much, but did make nearly 60 eFG%.  His biggest strengths were his rebounding (particularly DREB) and blocks (#157 in nation).  He shouldn't change the entire outlook of the game, but he is a good enough player and experienced enough to make a significant impact if he plays.  For the purposes of this game preview and projections, he won't be factored in.

 

Overall, there are only three players who have made significantly positive contributions to the Yellow Jackets' season.  Jeremis Smith doesn't shoot all that often and makes 50 eFG%, but he really gets to the FT line well.  He's a good rebounder, blocks some shots, makes steals and rarely turns it over.  He's a great passer for his 6-8 size (18.4% AST rate).  Anthony Morrow is the long-range bomber who's shot 44% from behind the arc without turning it over much at all.  Alade Aminu, the big 6-10 junior, shoots a lot and shoots pretty well (58 eFG%) but doesn't get to the line much.  He is a solid rebounder but doesn't block many shots.  Lewis Clinch, 6-3 guard, has had an up and down season.  He shoots a respectable 52 eFG% but turns it over more than he makes assists.  He does have a solid 43.9% from 3FG, but he doesn't do enough of the other stuff to get a solid rating.  With Dickey in the lineup, GT would have three fairly efficient players in the regular rotation and a couple of others who could make a difference if their shot is on.

 

Kansas player ratings continue to climb as the team's performance has skyrocketed.  Mario Chalmers now has a superstar-caliber efficiency rating.  Very interesting that in the current MVP analysis, his numbers don't help explain KU's performance variability though.  Thus, Darnell Jackson continues to be the MVP so far.  Make no mistake, Chalmers has been the "best player" so far, but Jackson's play has been the most valuable to team performance.  Though some may see this as a drawback to the analysis, I see it as a confirmation that MVP's aren't always the best players.

 

There is tremendous balance in efficiency at the top of KU's ratings.  Chalmers and Jackson are the headliners, but role players like Sasha Kaun and young guys like Cole Aldrich have put in efficient performances this season.  Looking further down the list, guys like Darrell Arthur and Brandon Rush are the ones mentioned most often for going early in the NBA Draft, so there is no question they are talented.  But their performance has still been less than stellar.  During stretches, Rush takes over, and Arthur looks like he could score at will.  Then, they'll both start missing lots of shots or not rebounding.  In the end, the only KU regular who hasn't played efficiently this season is Sherron Collins, but that's because his numbers are affected by his injury.  That should change drastically over the next 3-4 games.

 

On paper, there is no comparison in player performance between these two teams.  Kansas has the stars and tremendous depth. 

 

 

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

Kansas

Georgia Tech

Offense #16 - Defense #1 - Tempo #69
Rank #6 in eFG%, including #5 2FG%
Hold opp to very low eFG% (#43)
Rank #8 in forcing TO's and #45 in avoiding own TO's
Rank #37 in limiting opp OREB%
Limit opp 2FG% extremely well (#6)
Terrible FT% (#268)
Dominate the BLK category (#4 limit own, #6 block opp)
Virtually peerless in STL rate (#2)
Very high % of FG's assisted (#18)

 

Individual Player Highlights: (thru Dec 9)

Mario Chalmers - #99 eFG%, #144 AST rate, #13 STL rate
Russell Robinson - #186 STL rate
Darrell Arthur - #108 BLK rate
Darnell Jackson - #57 OREB%
Sasha Kaun - #24 BLK rate
Brandon Rush - #102 TO rate (good)

Offense #58 - Defense #197 - Tempo #76
Give up very high eFG% (#279)
Do not force many TO (#262)
Poor at limiting opp FT opportunities (#331)
Yield very high 3FG% (#269)
Rarely block shots (#267)

Individual Player Highlights: (thru Dec 9)

Anthony Morrow - #17 TO rate (good)
Jeremis Smith - #198 DREB%, #17 FT rate, #115 TO rate (good)
Alade Aminu - #55 OREB%
Matt Causey - #23 AST rate

Scoring Distribution:
On offense, KU heavily on 2FG's but unusually low amount on FT's, while its opponents rely extremely heavily on 3FG's.
On offense, GT relies on 2FG's at the expense of 3FG's, while its opponents rely unusually heavily on FT's but very little on 2FG'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 Ga Tech
Kansas eFG%**    
Kansas % own 2FGA's blocked**    
Kansas 2pt FG%**    
Kansas TO rate**    
Ga Tech % Poss STL by Opp**    
Kansas 3pt FG%    
Kansas PTS/Poss**    
Kansas OREB    
Ga Tech TO rate**    
  Kansas % Poss STL by Opp  
  Ga Tech 2pt FG%  
  Ga Tech FT Rate  
  Kansas FT Rate  
  Ga Tech FT%  
  Ga Tech % own 2FGA's blocked  
  Ga Tech PTS/Poss  
  Ga Tech OREB  
  Ga Tech eFG%  
  Kansas FT%  
    Ga Tech 3pt FG%

 

************************** 

Kansas will take above avg % of its FG's from 3-pt
Kansas will have above avg % of FG's assisted
Expect uptempo game
 

 

 

Game Projections

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



Manual Adjustment

Rationale 

 None
 

 

Projected Boxscore

 

Kansas 83                            
Ga Tech 67                            
                               
Kansas                              
NAME MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Brandon Rush 22 2 5 1 4 2 3 9 1 3 4 1 1 1 0
Cole Aldrich 10 1 2 0 0 1 2 3 1 3 4 0 1 1 1
Darnell Jackson 22 3 5 0 0 4 5 10 3 4 7 1 2 1 1
Darrell Arthur 24 4 8 0 1 4 6 12 2 4 6 0 2 1 2
Mario Chalmers 27 2 3 2 3 3 4 13 0 3 3 4 2 4 0
Rodrick Stewart 18 1 3 0 1 2 3 4 2 2 4 2 2 1 0
Russell Robinson 27 1 1 1 3 3 4 8 1 2 3 3 2 2 1
Sasha Kaun 17 2 3 0 0 3 7 7 2 3 5 0 1 1 2
Sherron Collins 21 2 3 2 4 2 3 12 0 2 2 2 2 2 0
Tyrel Reed 12 1 1 1 2 0 0 5 0 1 1 1 0 0 0
TOTALS 200 19 34 7 18 24 37 83 12 27 39 14 15 14 7
                               
Ga Tech                              
NAME MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Alade Aminu 19 3 6 0 0 1 2 7 3 3 6 0 2 1 0
Anthony Morrow 28 2 6 3 6 2 2 15 2 4 6 1 1 1 0
Brad Sheehan 9 0 1 0 0 1 1 1 0 1 1 0 1 0 0
D'Andre Bell 18 1 2 0 0 1 2 3 0 2 2 2 2 1 0
Gani Lawal 15 2 3 0 0 1 2 5 1 2 3 0 2 0 1
Jeremis Smith 26 2 5 0 1 3 5 7 3 5 8 2 1 2 1
Lewis Clinch 27 1 5 2 5 2 2 10 1 1 2 2 3 1 0
Matt Causey 17 0 2 1 2 0 1 3 0 1 1 3 2 1 0
Maurice Miller 15 0 1 1 2 2 2 5 0 2 2 2 3 2 0
Mouhammad Faye 10 1 2 0 1 0 0 2 1 1 2 0 2 0 0
Zach Peacock 16 2 4 1 1 2 3 9 1 2 3 0 2 0 0
TOTALS 200 14 37 8 18 15 22 67 12 24 36 12 21 9 2

 

 

Game Projections

 

  Projection Comments
 TEAM PROJECTIONS
 Final Score  KU 83-67  
 eFG%  KU 57-47%  
 TO Rate (lo better)  KU 29-21%  
 O-Reb% KU 33-31% 
 FT Rate KU 46-27% 
 Four Factors Overall
 FT attempts and eFG% drive KU advantage.  
 Leading Scorers

 KU - Chalmers, Arthur, Collins

 Opp - Morrow, Clinch

 
 PLAYER PROJECTIONS
(Minimum 10 mins played)
 Highest cPSAN
(game impact)

 KU - Chalmers

 Opp - Morrow

 
 Highest cPSAN70
(efficiency)

 KU - Chalmers

 Opp - Morrow 

 
 Highest efficiency vs season-to-date

 KU - Collins, Chalmers

 Opp - Miller, Morrow

 
 Lowest efficiency vs season-to-date

 KU - Rush, Stewart

 Opp - Causey, Clinch 

 

 

 

 

Sports and Numbers Projection

Kansas wins 83-67

(final projection) 

 

 

Pre-Game Keys to Watch For

Keys to Watch For

Metric

Result

Edge (Comments)

 KU's biggest projected scoring differential is due to free throw attempt disparity, something that hasn't been a KU strength most of the season.  This may be an area of weakness GT has a chance to address this game. GT free throw attempts within 5 of KU number
 

 

 OREB is expected to be a real battle.  If either team can turn this into a significant advantage, it could be a difference maker. Either team to have at least 7% advantage in OREB%
  
 GT is expected to struggle mightily shooting the 2FG, so it becomes paramount that they make their 3FG's if they are to get any offense. GT to shoot at least 40% from 3FG