Sports and Numbers

 
Preview: Kansas vs Michigan State Print E-mail
Mar 27, 2009

Kansas vs Michigan State (NCAA Tournament 1st Round - Indianapolis, IN)

 KansasMichigan State

Performance Indicators

  
Record (conference)
27-728-6
AP Rank14
8
Pomeroy Rating
(Updated daily)
8
16
Consensus Ranking
(Updated periodically - avg several computer ratings and polls)
10
9
Best opponents defeated this season
(Ranking from Pomeroy)

vs Missouri (#10) W 90-65
@ Oklahoma (#14) W 87-78

vs Kansas (#8) W 85-72
vs Purdue (#18) W 62-51

Prediction Models

  
Vegas Oddsmakers Win by 1
Est. Projection: 70-69
Prediction Tracker
(Average of several power ratings)
 Win by 0.5  
Sagarin Power Ratings (Predictor) Win by 1.7  
Pomeroy
(Efficiency and Tempo-Adjusted)

 Win 70-69
56% chance of victory

 
 TeamRankings.com

(Use home rating for home team, road for road.  If fewer than 3 games played at corresponding locations, use "predictive" ratings for both teams but use specific home advantage rather than standard average homecourt advantage for all NCAA teams.)

 Win by 2.0
Last 7 Games (Venue Adjusted)
(Uses team performance and consistency over last 5 home/non-home games, whichever pertains to this game + 2 other most recent games regardless of location.  NEW - This takes offense and defense into account separately to reflect how consistent teams have played on each end of the court)
 Est. Projection: 73-71
55% chance of victory
 
Weighted Average of All Models Above
(40% Vegas + 8% Pred Trckr + 8% SagPred + 8% Pom + 8 % TmRnkgs + 8% Accu + 20% Last 7)

 Win by 0.4
Est. Projection: 69.4-69.0

 

 

 

PSAN-Related Player Ratings - Cumulative This Season

(PSAN-O = Offensive impact, PSAN-D = Defensive impact.  For PSAN-D, lower ratings are better.  PSAN70 ratings are just PSAN expressed as "per 70 possessions" to reflect efficiency.  The difference between ePSAN and PSAN is that "e" is enhanced and weighs recent games more - used for Kansas only.)

Kansas

 

Impact Ratings

 

PLAYER ePSAN-O ePSAN-D ePSAN-Comp
Cole Aldrich 116.93 -128.44 245.37
Sherron Collins 51.34 -35.16 86.50
Brady Morningstar 31.78 -37.89 69.67
Marcus Morris 27.88 -30.00 57.88
Tyshawn Taylor 26.58 -21.77 48.35
Tyrel Reed 28.54 -15.45 43.99
Mario Little 22.91 -21.03 43.94
Markieff Morris 6.34 -26.70 33.03
Travis Releford* 9.11 -9.45 18.56
Quintrell Thomas* 1.55 -3.06 4.60
Matt Kleinmann* 1.58 -1.13 2.72
Chase Buford* -0.95 -0.33 -0.62
Jordan Juenemann* -0.48 0.16 -0.64
Brennan Bechard* -1.93 0.73 -2.66
Tyrone Appleton* -3.20 -0.20 -2.99
Conner Teahan* -4.92 -1.11 -3.82

 

 Efficiency Ratings

 

PLAYER ePSAN70-O ePSAN70-D ePSAN70-Comp
Cole Aldrich 4.58 -5.03 9.60
Mario Little 2.61 -2.39 5.00
Matt Kleinmann* 2.26 -1.62 3.87
Marcus Morris 1.77 -1.91 3.68
Travis Releford* 1.74 -1.80 3.54
Sherron Collins 1.70 -1.17 2.87
Brady Morningstar 1.22 -1.46 2.68
Markieff Morris 0.51 -2.15 2.66
Tyrel Reed 1.67 -0.91 2.58
Tyshawn Taylor 1.18 -0.97 2.14
Quintrell Thomas* 0.58 -1.14 1.71
Chase Buford* -3.25 -1.13 -2.12
Tyrone Appleton* -2.88 -0.18 -2.70
Conner Teahan* -3.53 -0.79 -2.74
Jordan Juenemann* -5.55 1.83 -7.38
Brennan Bechard* -5.40 2.03 -7.43

 

* Rating not based on enough data.

Michigan State

  

Impact Ratings

 

PLAYER PSAN-O PSAN-D PSAN-Comp
Goran Suton 69.50 -56.86 126.36
Raymar Morgan 40.31 -30.80 71.11
Kalin Lucas 46.10 -23.03 69.13
Delvon Roe 26.48 -38.94 65.43
Durrell Summers 20.69 -26.66 47.34
Draymond Green 18.95 -23.44 42.39
Marquise Gray 15.85 -16.28 32.14
Travis Walton 1.88 -24.89 26.77
Chris Allen 17.65 -7.06 24.70
Korie Lucious* 4.15 -9.07 13.22
Austin Thornton* 4.30 -4.57 8.86
Tom Herzog* 3.20 -4.41 7.61
Isaiah Dahlman* 2.00 -2.01 4.01
Mike Kebler* 1.83 -0.38 2.21
Jon Crandell* 1.62 0.00 1.62
Idong Ibok* -1.57 -2.31 0.7

 

 

Efficiency Ratings

 

PLAYER PSAN70-O PSAN70-D PSAN70-Comp
Tom Herzog* 4.54 -6.26 10.80
Mike Kebler* 7.77 -1.62 9.39
Jon Crandell* 7.68 0.00 7.68
Goran Suton 4.05 -3.31 7.36
Isaiah Dahlman* 3.27 -3.30 6.57
Draymond Green 2.28 -2.83 5.11
Delvon Roe 1.82 -2.67 4.49
Raymar Morgan 2.40 -1.83 4.23
Marquise Gray 1.97 -2.02 3.99
Austin Thornton* 1.90 -2.02 3.93
Durrell Summers 1.23 -1.58 2.81
Kalin Lucas 1.82 -0.91 2.72
Korie Lucious* 0.57 -1.24 1.80
Chris Allen 1.14 -0.46 1.60
Travis Walton 0.08 -1.12 1.20
Idong Ibok* -0.44 -0.65 0.21

 

* Rating not based on enough data.


Last 7 Game Analysis

 

  Kansas Michigan St.
Expected Score 72.8 70.5
Win 54.6% 45.4%
Win by 3 or less 5.7% 5.5%
Win by 10 or more 34.6% 27.2%

 

Down to the Wire?

 Margin of game was less than 1 point in 3.4% of simulated games from "Last 7 Game Analysis."  Many of these would be "overtime" games.

 

(Methodology of Last 7 Game Analysis: Here, we look at the last seven venue-appropriate games to see how the teams are performing.  If the game takes place on the road for Kansas, for example, the analysis looks at the five most recent non-home games for Kansas.  In addition, the two most recent games, regardless of venue, are added.  That way, we get a picture of the how the team is performing of late.  This season, the analysis also splits offense and defense.  Teams often are more or less consistent on one side of the court than the other.  This analysis will reflect that.  Based on the strength of the opposing offense and defense they've played over the last seven games, each team's offense and defense is evaluated based on strength and consistency.  Those numbers are then plugged into a simulation of 8,000 games.  The results are what you see in the table.)

 

Opponent Four Factor Analysis

 

Based on the cumulative season boxscore for the opponent, we can look at the Four Factors to see where the team has derived the bulk of its (dis)advantage in terms of scoring margin versus its opponents to date.  Team 1 is KU's opponent, while Team 2 represents that team's opponents.  Here is the breakdown for KU's opponent this game:

 

  Team 1 Team 2 Advantage  
eFG% 50.05% 47.30% 101.6  
TO Rate 20.83% 20.61% -5.1  
OREB% 41.07% 26.12% 177.7  
FT Rate 29.15% 24.64% -6.2 FT Pct
      116.2 FT Attempts

 

ANALYSIS:  Michigan State absolutely punishes opponents on the boards, so much that it is approaching twice the margin of advantage of their eFG% differential.  It's a good thing for other teams that MSU doesn't win the turnover game. The rebounds probably help the tremendous FT attempt advantage for the Spartans as well.  The huge advantages in those two categories would probably suggest that MSU's toughness is unmatched.

 

Game Projections

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

Manual adjustments: None.

 


Projected Boxscore

 

Kansas 67                            
Michigan St. 63                            
                               
Kansas                              
PLAYER MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Brady Morningstar 32 1 1 2 4 1 1 9 1 2 3 2 2 1 0
Cole Aldrich 31 5 8 0 0 4 5 14 2 7 9 1 2 1 3
Marcus Morris 20 2 4 0 0 2 2 6 1 2 3 1 2 1 0
Mario Little 8 1 3 0 0 1 2 3 1 2 3 1 1 0 0
Markieff Morris 16 1 3 0 0 1 2 3 1 2 3 1 1 0 1
Sherron Collins 37 3 7 2 6 4 5 16 0 2 2 4 4 1 0
Travis Releford 6 1 1 0 0 1 1 3 0 1 1 0 1 0 0
Tyrel Reed 22 0 1 1 4 1 2 4 0 1 1 1 1 1 0
Tyshawn Taylor 28 2 4 1 2 2 3 9 0 2 2 2 3 1 0
TOTALS 200 16 32 6 16 17 23 67 6 21 27 13 17 6 4
                               
Michigan St.                              
PLAYER MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Chris Allen 21 1 3 2 5 2 2 10 0 1 1 1 2 0 0
Delvon Roe 20 2 3 0 0 2 4 6 2 3 5 1 1 1 1
Draymond Green 7 1 2 0 0 1 1 3 1 2 3 1 1 0 0
Durrell Summers 23 1 3 1 3 1 2 6 1 2 3 1 2 1 1
Goran Suton 27 2 5 0 1 2 3 6 2 4 6 1 2 1 1
Kalin Lucas 34 2 7 1 3 5 6 12 0 1 1 4 2 1 0
Korie Lucious 6 0 1 1 2 0 1 3 0 1 1 1 1 0 0
Marquise Gray 7 1 2 0 0 1 1 3 1 2 3 0 1 0 0
Raymar Morgan 25 3 6 0 1 3 5 9 1 3 4 1 2 1 0
Travis Walton 30 2 4 0 0 1 1 5 1 1 2 3 2 2 0
TOTALS 200 15 36 5 15 18 26 63 9 20 29 14 16 7 3

 

 

Projection Summary

 

 
Projection
Comments

 OVERALL RESULTS

 Final Score  KU 67-63  
 Tempo (# poss)
 69 
 

PLAYER PROJECTIONS (10+ min played)

 Leading Scorers

 KU - Collins, Aldrich

 Opp - Lucas, Allen

 
 Highest PSAN-Comp
(game impact)

 KU - Aldrich

 Opp - Roe

 
 Highest PSAN70-Comp
(efficiency)

 KU - Aldrich

 Opp - Roe

 
 Highest efficiency vs season-to-date

 KU - Morningstar, Aldrich

 Opp - Roe, Walton

 
 Lowest efficiency vs season-to-date

 KU - Reed, Collins

 Opp - Suton, Morgan

 Collins once again projected to struggle, but not to a great extent.  His eFG% would be 46%.

 

Sports and Numbers Projection

Kansas wins 67-63

(all prediction models included/complete)

 

 

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