Sports and Numbers

 
Preview: Michigan at Kansas Print E-mail
Dec 18, 2009

Michigan at Kansas (Lawrence, KS)

  Kansas Michigan

Performance Indicators

   
Record (conference)
9-0 5-4
AP Rank 1
NR
Pomeroy Rating
(Updated daily)
2
148
Consensus Ranking
(Updated periodically - avg several computer ratings and polls)
6
149
Best opponents defeated this season
(Ranking from Pomeroy)

vs Memphis (#7) W 57-55

vs Creighton (#136) W 83-76 OT
RPI
(Used for schedule strength, not team strength. Current and forecast RPI from RPIForecast .)

Current: 13

Forecast: 3

Current: 234

Forecast: 172

Projected NCAA Tournament Seed
(Latest consensus from The Bracket Matrix)
 #1 Seed
 Out

Prediction Models

   
Vegas Oddsmakers Win by 19.5
Est. Projection: 80-60
 
Prediction Tracker
(Average of several power ratings)
 Win by 22.58  
Sagarin Power Ratings (Predictor)  Win by 23.4  
Pomeroy
(Efficiency and Tempo-Adjusted)

 Win 85-55
99% 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 31.3  
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.  This takes offense and defense into account separately to reflect how consistent teams have played on each end of the court)
 Est. Projection: 85-56
94.4% chance of victory
 
Similar Opponent (New!)
(Examines offensive performance against similar defensive teams and defensive performance against similar offensive teams.  Threshold for similarity set at efficiencies of 5 pts/100 possessions above or below that of opponent in this game.  If necessary, threshold adjusted to find a minimum of three games to analyze for offense and defense.)
 Est. Projection: 91-58
98.2% chance of victory
 
Weighted Average of All Models Above
(40% Vegas + 10% Pred Trckr + 10% SagP + 10% Pom + 10% TmRnk + 10% SimOpp + 10% Last 7)
 Win by 24.7
Est. Projection: 83-58
 

 

 

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
Xavier Henry 35.07 -17.82 52.88
Cole Aldrich 22.39 -29.87 52.26
Markieff Morris 29.32 -14.07 43.39
Marcus Morris 18.86 -9.95 28.81
Sherron Collins 18.62 -9.70 28.32
Tyrel Reed 9.20 -7.88 17.08
Elijah Johnson 9.85 -3.44 13.29
Tyshawn Taylor 2.51 -10.51 13.02
Thomas Robinson 0.35 -11.92 12.26
Conner Teahan* 3.98 -4.26 8.24
C.J. Henry 8.44 0.23 8.21
Brady Morningstar*
(1st game eligible)
0.00 0.00 0.00

Jeff Withey*
(1st game eligible)

0.00 0.00 0.00
Jordan Juenemann* 0.15 0.53 -0.38
Chase Buford* -0.24 0.30 -0.54

 

 Efficiency Ratings

 

PLAYER ePSAN70-O ePSAN70-D ePSAN70-Comp
Markieff Morris 7.40 -3.55 10.95
Cole Aldrich 3.73 -4.97 8.70
Xavier Henry 5.63 -2.86 8.49
C.J. Henry 7.36 0.20 7.16
Conner Teahan* 2.93 -3.14 6.07
Marcus Morris 3.70 -1.95 5.66
Elijah Johnson 3.44 -1.20 4.64
Tyrel Reed 2.48 -2.13 4.61
Thomas Robinson 0.12 -4.20 4.32
Sherron Collins 2.71 -1.41 4.12
Tyshawn Taylor 0.46 -1.94 2.40
Brady Morningstar*
(1st game eligible)
0.00 0.00 0.00
Jeff Withey*
(1st game eligible)
0.00 0.00 0.00
Jordan Juenemann* 0.40 1.36 -0.97
Chase Buford* -0.45 0.57 -1.03

 

* Rating not based on enough data.

Michigan

  

Impact Ratings

 

PLAYER PSAN-O PSAN-D PSAN-Comp
Manny Harris 28.97 -7.81 36.78
DeShawn Sims 14.10 -5.50 19.60
Zack Gibson 8.88 -1.08 9.97
Eso Akunne* 1.76 -2.22 3.99
Matt Vogrich* -1.23 -4.54 3.31
Anthony Wright* -0.77 -3.15 2.38
Corey Person* 0.00 -0.37 0.37
Ben Cronin* -0.76 -0.91 0.15
Josh Bartelstein* -0.64 0.00 -0.64
Eric Puls* -1.49 -0.37 -1.12
Zack Novak -3.61 -1.38 -2.23
Laval Lucas-Perry -6.17 7.86 -14.03
Stu Douglass -14.38 5.31 -19.69
Darius Morris -14.51 8.79 -23.30

 

 

 

Efficiency Ratings

 

PLAYER PSAN70-O PSAN70-D PSAN70-Comp
Corey Person* 0.00 -5.26 5.26
Manny Harris 3.85 -1.04 4.89
Eso Akunne* 2.15 -2.72 4.87
Zack Gibson 3.42 -0.42 3.84
DeShawn Sims 2.19 -0.85 3.04
Matt Vogrich* -0.76 -2.82 2.05
Anthony Wright* -0.40 -1.64 1.24
Ben Cronin* -2.50 -2.98 0.48
Zack Novak -0.62 -0.24 -0.38
Laval Lucas-Perry -1.19 1.51 -2.70
Stu Douglass -2.85 1.05 -3.90
Darius Morris -2.85 1.72 -4.57
Josh Bartelstein* -6.87 0.00 -6.87
Eric Puls* -10.59 -2.63 -7.96

 

* Rating not based on enough data.




Player Analysis:

(largely in context of ratings above)

 

Will add, time permitting. 

 

 

Last 7 Game Analysis

 

  Kansas Michigan
Expected Score 85.0 56.2
Win 94.1% 5.9%
Win by 3 or less 1.9% 1.8%
Win by 10 or more 84.9% 1.5%

 

Down to the Wire?

 Margin of game was less than 1 point in 1.2% 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.)

 

Similar Opponent Analysis

 

  Kansas Michigan
Expected Score 91.3 57.8
Win 97.9% 2.1%
Win by 3 or less 1.0% 0.9%
Win by 10 or more 92.6% 0.4%

 

Down to the Wire?

 Margin of game was less than 1 point in 0.6% of simulated games from "Last 7 Game Analysis."  Many of these would be "overtime" games.

 

(Methodology of Similar Opponent Analysis: Here, we look at games against opponents with similar offensive and defensive profiles to the opponent of interest to see how the teams are performing.  For Kansas, we would look at its offensive performances against teams that have a defense that is within 5 pts/100 possessions efficiency above or below that of the opponent in this game.  If this does not result in at least three appropriate comparisons, the threshold will be adjusted until it finds three.  If there are more than three that are within the original threshold, all of those will be used.  The same is done for defense but using offensive profiles of opponents.  The analysis 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.  Those numbers are then plugged into a simulation of 8,000 games.  The results are what you see in the table.)

 

 

Four Factor Analysis

 

Based on the cumulative season boxscore for each team, we can look at the Four Factors to see where each team has derived the bulk of its (dis)advantage in terms of scoring margin versus its opponents to date.  For each team, Team 1 is the team itself and Team 2 is its opponents.  Here is the breakdown:

 

Michigan

 

 

Team 1 Team 2 Advantage  
eFG% 48.59% 48.84% -2.6  
TO Rate 14.90% 23.44% 51.9  
OREB% 30.67% 34.84% -13.5  
FTA/FGA 22.89% 13.32% 7.6 FT Pct
      45.4 FT Attempts
 

Kansas

 

 

  Team 1 Team 2 Advantage  
eFG% 58.33% 38.21% 220.2  
TO Rate 16.48% 22.79% 42.0  
OREB% 42.41% 29.91% 40.2  
FTA/FGA 27.48% 21.51% 2.4 FT Pct
      38.6 FT Attempts

 

 

ANALYSIS:  Both teams have taken advantage of getting to the FT line more often than opponents, and both have done an excellent job of winning the turnover battle.  But the single most important factor of all, eFG%, provides the most stark contrast between these two teams.  KU dominates on both sides of the equation, while UM is about average on offensive and defensive eFG%.  The battle of the boards has been another big boost for the Jayhawks, while the Wolverines have seen their single biggest disadvantage manifested there.  Unfortunately for Michigan fans, it doesn't look like any of UM's advantages play to KU's less significant advantages.

 

Highlighted Efficiency Rankings
Note: There are 347 Div-I teams
(Source: KenPom.com)

Kansas

Michigan

Offense #2 - Defense #6 - Tempo #116
Usually win the all-important eFG% battle (#6 eFG%, #2 opp eFG%)
Particularly good at controlling 2FG% (#22 own, #2 opp)
Pretty strong on 3FG% too (#4 own, #37 opp)
Excellent ball control (#18 limit own TO%)
Great offensive rebounding (#10)
Great job on defense of BLK (#11)
Control STL on both ends (#46 limit own, #26 on def)
Very high % of FG's are assisted (#41)

Size (Tall = Position is Top 50 in minutes-weighted height, Short = #250 or worse)
Tall: C, PF
Short: None

 

Other Factors:

Team is #26 in Effective Height
Team is #299 in experience
Unusually high/low % of points scored by positions:  Hi - SF ... Lo - SG


Individual Player Highlights: (thru Dec 12)

Sherron Collins - #136 PF commited/40 min (good)
Xavier Henry - #31 eFG%
Cole Aldrich - #73 OREB%, #96 DREB%, #11 BLK%
Tyshawn Taylor - #196 STL%
Marcus Morris - #183 OREB%
Markieff Morris - #85 OREB%, #81 DREB%, #185 BLK%
Tyrel Reed - #72 TO% (good)

Offense #156 - Defense #153 - Tempo #294
Great ball control (#4 limit own TO%, #36 force opp TO%)
Terrible defensive rebounding (#319)
Though terrible at utilizing FT line (#277 FTA/FGA), one of best at limiting opp (#3)
Terrible 3FG% (#295)
Allow very high 2FG% (#277)
Get blocked on offense too much (#268)
Good at STL% on defense (#36)
Allow very high % of FG's assisted (#254)

 

Size (Tall = Position is Top 50 in minutes-weighted height, Short = #250 or worse)
Tall: PG
Short: PF

 

Other Factors:

Low bench minutes (#269)
Unusually high/low % of points scored by positions:  Hi - C ... Lo - PG, SG


Individual Player Highlights: (thru Dec 12)

Manny Harris - #61 AST Rate, #159 STL%, #34 PF commit/40 min (good), #53 PF drawn/40 min
DeShawn Sims - #33 TO Rate (good)
Stu Douglass - #151 TO Rate, #124 PF commit/40 min
Zack Novak - #95 TO Rate

Scoring Distribution:

On offense, KU relies somewhat more on 3FG's and less on FT's, while its opponents get a lower percentage of points from 3FG's than usual.
On offense, UM relies heavily on 3FG's, while its opponents focus extremely heavily on 2FG's and unusually low on FT's.

 

Statistical Strengths and Weaknesses Analysis

(Note: These are based on raw statistics that are unadjusted for strength of opposition.) 

 

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

 

************************************************************* 

Kansas will have above avg % of FG's assisted
Michigan will have above avg % of FG's assisted
Kansas plays faster tempo than Michigan

 

 

 

Game Projections

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

Manual adjustments: Brady Morningstar to play 15 minutes.  His end-of-season stats from last year are used for this projection.

 


Projected Boxscore

 

Kansas 83                            
Michigan 55                            
                               
Kansas                              
PLAYER MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Brady Morningstar 15 0 1 1 1 0 0 3 0 1 1 1 1 0 0
C.J. Henry 7 0 0 1 2 0 0 3 0 1 1 0 0 0 0
Cole Aldrich 25 5 7 0 0 2 3 12 3 6 9 1 2 1 4
Elijah Johnson 11 1 2 0 1 1 1 3 1 1 2 3 1 0 0
Marcus Morris 22 3 5 0 1 2 3 8 2 3 5 1 2 1 0
Markieff Morris 16 3 4 0 1 1 2 7 2 4 6 1 1 1 1
Sherron Collins 29 3 5 2 4 1 2 13 0 2 2 4 2 1 0
Thomas Robinson 10 2 4 0 0 1 2 5 2 3 5 1 1 0 1
Tyrel Reed 16 1 1 1 2 0 0 5 0 1 1 1 0 1 0
Tyshawn Taylor 23 2 4 1 1 1 1 8 0 2 2 4 2 1 0
Xavier Henry 26 4 5 2 4 2 3 16 1 3 4 2 3 1 1
TOTALS 200 24 38 8 17 11 17 83 11 27 38 19 15 7 7
                               
Michigan                              
PLAYER MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Anthony Wright 6 0 2 0 1 0 0 0 1 0 1 1 0 0 0
Darius Morris 26 1 4 0 1 1 1 3 0 1 1 2 3 0 0
DeShawn Sims 32 4 11 1 3 1 2 12 3 3 6 1 1 1 1
Laval Lucas-Perry 26 1 2 1 3 1 2 6 1 1 2 1 2 1 0
Manny Harris 38 5 12 1 4 5 6 18 3 3 6 4 3 2 0
Matt Vogrich 6 0 1 0 1 0 0 0 0 0 0 0 1 0 0
Stu Douglass 25 1 2 1 3 0 1 5 0 1 1 2 1 1 0
Zack Gibson 8 2 4 0 1 1 1 5 2 1 3 0 0 0 1
Zack Novak 33 1 2 1 3 1 1 6 1 2 3 1 1 1 0
TOTALS 200 15 40 5 20 10 14 55 11 12 23 12 12 6 2

 

 

Projection Summary

 

 
Projection
Comments

 OVERALL RESULTS

 Final Score  KU 83-55  
 Tempo (# poss)
 67 

 FOUR FACTORS ADVANTAGES

 eFG%  KU 65-38%  This would be quite impressive for KU if it came true.
 TO Rate (lo better)  UM 22-18%  Interesting because it would be the 2nd highest TO rate for KU all season if correct.
 O-Reb% KU 48-29%
 
 FT Rate KU 31-23%
 
 Four Factors Overall
 Nothing much to matter except for a gigantic shooting advantage and OREB% edge for KU.
 
 

PLAYER PROJECTIONS (10+ min played)

 Leading Scorers

 KU - X. Henry, Collins

 Opp - Harris, Sims

 
 Highest PSAN-Comp
(game impact)

 KU - Aldrich

 Opp - Harris

 
 Highest PSAN70-Comp
(efficiency)

 KU - Aldrich

 Opp - Harris

 
 Highest efficiency vs season-to-date

 KU - Robinson, Taylor

 Opp - Douglass, Lucas-Perry

 
 Lowest efficiency vs season-to-date

 KU - Marcus Morris, Markieff Morris

 Opp - Morris, Sims

 Apparently, my models don't like anyone named Morris.

 

Sports and Numbers Projection

Kansas wins 83-55

(all prediction models included/complete)

 

 

Pre-Game Keys to Watch For

Keys to Watch For

Metric

Result

Edge (Comments)

 The only overlap in statistically significant correlations to efficiency for both teams is the eFG% of each team.  It is marginally more critical what UM's eFG% will be, based on a slightly higher correlation coefficient (Kenpom.com's "game plan" feature)
 Michigan to shoot at least 48 eFG%   
 The Vegas handicappers have a significantly closer game than all the power ratings.  It may be that Michigan has the talent to make it more interesting but hasn't delivered this season.  We should have a good measure of that by the end of the first half.  Michigan to be within 9 points of KU at the half.   

 

 

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