Sports and Numbers

 
Preview: Kansas at Oklahoma Print E-mail
Feb 22, 2009

Kansas at Oklahoma (Norman, OK)

 KansasOklahoma

Performance Indicators

  
Record (conference)
22-5 (11-1)25-2 (11-1)
AP Rank15
(last week)
2
(last week)
Pomeroy Rating
(Updated daily)
10
18
Consensus Ranking
(Updated periodically - avg several computer ratings and polls)
12
(last week)
4
(last week)
Best opponents defeated this season
(Ranking from Pomeroy)

vs Washington (#16) W 73-54
Home and Away vs Kansas St. (#37)

vs Purdue (#17) W 87-82 (OT)
vs Texas (#25) W 78-63
RPI
(Used for schedule strength, not team strength. Current and forecast RPI from RPIForecast .)

Current: 7

Forecast: 8

Current: 2

Forecast: 2

Prediction Models

  
Vegas Oddsmakers Win by 4.0
Est. Projection: TBD
Prediction Tracker
(Average of several power ratings)
 Win by 5.4
Sagarin Power Ratings (Predictor)  Win by 3.5
Pomeroy
(Efficiency and Tempo-Adjusted)

 

 Win 76-73
61% 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 6.8
  AccuScore Game Forecast

(Models how players and coaches have individually responded to similar conditions. Games are then simulated play-by-play over 10,000 times.)

 Win by 7.2
Est. Projection: 77-69
72% chance of victory 
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)
 Win by 3.2
Est. Projection: 78-75
59% 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 3.0
Est. Projection: 77-74

 

 

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 84.51 -90.21 174.72
Brady Morningstar 42.88 -33.16 76.04
Sherron Collins 45.05 -24.84 69.89
Marcus Morris 18.24 -31.06 49.30
Markieff Morris 13.25 -22.77 36.01
Tyrel Reed 20.87 -12.84 33.70
Tyshawn Taylor 16.03 -15.47 31.50
Mario Little 20.62 -7.03 27.65
Travis Releford* 3.08 -6.78 9.87
Quintrell Thomas* -0.67 -3.95 3.28
Matt Kleinmann* 1.85 -1.22 3.06
Chase Buford* -0.94 -0.34 -0.60
Jordan Juenemann* -0.66 0.22 -0.87
Tyrone Appleton* -1.28 0.69 -1.98
Brennan Bechard* -1.49 0.82 -2.31
Conner Teahan* -6.49 -2.15 -4.34

 

 Efficiency Ratings

 

PLAYER ePSAN70-O ePSAN70-D ePSAN70-Comp
Cole Aldrich 4.22 -4.51 8.73
Matt Kleinmann* 3.01 -1.98 4.99
Mario Little 3.28 -1.12 4.40
Marcus Morris 1.51 -2.56 4.07
Markieff Morris 1.35 -2.32 3.67
Brady Morningstar 2.03 -1.57 3.61
Sherron Collins 1.92 -1.06 2.98
Tyrel Reed 1.47 -0.90 2.37
Travis Releford* 0.68 -1.49 2.17
Tyshawn Taylor 0.96 -0.92 1.88
Quintrell Thomas* -0.26 -1.52 1.27
Tyrone Appleton* -1.45 0.78 -2.23
Chase Buford* -3.77 -1.35 -2.42
Conner Teahan* -4.58 -1.51 -3.06
Brennan Bechard* -5.21 2.89 -8.10
Jordan Juenemann* -6.25 2.06 -8.31

 

* Rating not based on enough data.

Oklahoma

  

Impact Ratings

 

PLAYER PSAN-O PSAN-D PSAN-Comp
Blake Griffin 103.77 -98.48 202.25
Taylor Griffin 45.61 -22.14 67.75
Austin Johnson 48.52 -6.96 55.48
Willie Warren 72.23 16.86 55.38
Cade Davis 25.46 3.45 22.01
Juan Pattillo 12.32 -8.14 20.47
Tony Crocker 29.01 12.33 16.68
Omar Leary* 4.78 -6.12 10.89
Ray Willis* 2.89 -7.17 10.07
Ryan Wright* -5.04 -13.61 8.57
Orlando Allen* 3.64 -2.96 6.59
Kyle Cannon* -1.91 -3.15 1.24
Beau Gerber* 1.11 0.25 0.85
T.J. Franklin* -7.22 -1.19 -6.04

 

 

 

Efficiency Ratings

 

PLAYER PSAN70-O PSAN70-D PSAN70-Comp
Blake Griffin 4.88 -4.63 9.50
Juan Pattillo 3.28 -2.17 5.45
Ray Willis* 1.19 -2.94 4.13
Orlando Allen* 2.10 -1.71 3.81
Taylor Griffin 2.34 -1.14 3.48
Austin Johnson 2.41 -0.35 2.75
Willie Warren 3.53 0.82 2.70
Cade Davis 2.62 0.36 2.27
Omar Leary* 0.84 -1.07 1.91
Beau Gerber* 2.07 0.47 1.59
Ryan Wright* -0.92 -2.47 1.56
Tony Crocker 1.49 0.63 0.86
Kyle Cannon* -1.28 -2.12 0.84
T.J. Franklin* -12.34 -2.03 -10.31

 

* Rating not based on enough data.



Last 7 Game Analysis

 

  Kansas Oklahoma
Expected Score 78.4 75.0
Win 58.7% 41.3%
Win by 3 or less 8.2% 7.3%
Win by 10 or more 33.1% 19.2%

 

Down to the Wire?

 Margin of game was less than 1 point in 5.1% 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% 55.20% 45.24% 314.5  
TO Rate 18.90% 19.12% 4.3  
OREB% 36.45% 32.47% 41.7  
FTA/FGA 46.71% 28.77% 5.1 FT Pct
      161.9 FT Attempts

 

ANALYSIS:  Like most elite teams, Oklahoma gets most of its advantage from getting better shots, thus shooting a much better percentage from the field.  But in OU's case, they are phenomenal at getting to the FT line much more often than their opponents.

 

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 Oklahoma
Kansas 3pt FG%**    
Kansas OREB**    
  Kansas FT%  
  Kansas PTS/Poss  
  Oklahoma OREB  
  Kansas TO rate  
  Kansas eFG%  
  Oklahoma 3pt FG%  
  Oklahoma eFG%  
  Oklahoma 2pt FG%  
  Oklahoma PTS/Poss  
  Kansas 2pt FG%  
  Oklahoma % own 2FGA's blocked  
  Kansas FT Rate  
  Kansas % own 2FGA's blocked  
  Oklahoma % Poss STL by Opp  
  Oklahoma FT%  
  Kansas % Poss STL by Opp  
    Oklahoma TO rate
    Oklahoma FT Rate**

 

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

Oklahoma will have above avg % of FG's assisted
Expect uptempo game

 

 

 

Game Projections

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

Manual adjustments: None.

 


Projected Boxscore

 

Kansas 70                            
Oklahoma 70                            
                               
Kansas                              
PLAYER MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Brady Morningstar 32 1 2 2 4 1 1 9 1 2 3 2 1 1 0
Cole Aldrich 31 5 9 0 0 3 4 13 3 7 10 1 2 1 2
Marcus Morris 19 2 5 0 1 2 3 6 2 3 5 1 2 1 0
Mario Little 9 2 3 0 1 1 1 5 1 2 3 1 1 0 0
Markieff Morris 16 1 3 0 0 1 2 3 2 2 4 1 1 1 1
Sherron Collins 37 3 8 2 6 4 4 16 0 2 2 4 4 1 0
Travis Releford 6 1 2 0 0 0 1 2 1 1 2 0 1 0 0
Tyrel Reed 23 0 1 2 4 1 2 7 0 1 1 1 1 1 0
Tyshawn Taylor 27 2 4 1 2 2 3 9 0 2 2 3 3 1 0
TOTALS 200 17 37 7 18 15 21 70 10 22 32 14 16 7 3
                               
Oklahoma                              
PLAYER MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Austin Johnson 33 1 3 1 3 1 2 6 0 2 2 4 2 2 1
Blake Griffin 34 6 12 0 0 6 11 18 3 8 11 2 4 1 1
Cade Davis 16 0 1 1 4 1 1 4 0 1 1 1 0 1 0
Juan Pattillo 9 2 4 0 0 2 2 6 1 2 3 0 1 1 1
Omar Leary 6 0 0 0 1 0 0 0 0 0 0 1 1 0 0
Ryan Wright 6 1 1 0 0 1 2 3 1 1 2 0 1 0 0
Taylor Griffin 32 2 5 0 0 3 4 7 2 3 5 1 2 1 1
Tony Crocker 31 1 3 2 5 2 2 10 1 2 3 1 2 1 0
Willie Warren 33 3 5 2 5 4 5 16 0 1 1 3 2 1 0
TOTALS 200 16 34 6 18 20 29 70 8 20 28 13 15 8 4

 

 

Projection Summary

 

 
Projection
Comments

 OVERALL RESULTS

 Final Score  Tie 70-70 (Oklahoma wins in overtime)  Projected tie goes to OU in overtime given OU's raw calculated advantage of 70.8 to 70.7 before adjustments to better fit player averages.
 Tempo (# poss)
 71 (in regulation)
 

 FOUR FACTORS ADVANTAGES

 eFG%  KU 50-48%  
 TO Rate (lo better)  OU 23-21%  
 O-Reb% KU 33-27%
 
 FT Rate OU 56-38%
 
 Four Factors Overall
 Every category is pretty tight, with the exception of FT attempts in favor of OU.  But they all roughly even out ... this is projected to be close.  
 

PLAYER PROJECTIONS (10+ min played)

 Leading Scorers

 KU - Collins, Aldrich

 Opp - B. Griffin, Warren

 
 Highest PSAN-Comp
(game impact)

 KU - Aldrich

 Opp - B. Griffin

 
 Highest PSAN70-Comp
(efficiency)

 KU - Aldrich

 Opp - B. Griffin

 
 Highest efficiency vs season-to-date

 KU - Markieff Morris, Morningstar

 Opp - Warren, Crocker

 
 Lowest efficiency vs season-to-date

 KU - Marcus Morris, Collins

 Opp - B. Griffin, Davis

 Even though he's projected to have the best game for OU, he may struggle more than anyone else compared to his season average.

 

Sports and Numbers Projection

Tie in Regulation 70-70
Oklahoma wins in overtime

(all prediction models included/complete)

 

 

Adjustment If Blake Griffin (OU) Does Not Play

 

The dynamics of the game would adjust in a way that is too difficult to assess quantitatively in any automated way.  What we can attempt to do is replace the efficiency of Blake Griffin with that of those players whose minutes would presumably increase.  The offensive and defensive efficiencies would translate into point differentials expected on either side of the ball with Griffin out.  One important caveat to this is that the "whole is not equal to the sum of the parts" in this case.  The team will operate differently, and most likely the removal of Griffin would mean more than just the removal of his usual ratings impact.  But in this case, we are simply trying to find a quantitative estimate of the impact of his absence.

 

Blake Griffin's offensive efficiency (PSAN70-O) of +4.88 translates to a +4.21 points impact in this game.  This accounts for the fact that he was projected to play 34 of the available 40 minutes, but also that the tempo woud be 71 possessions instead of the standard 70 used in the efficiency ratings.  On defense, he was to have a -3.99 effect on KU's points.  Thus, the loss of Griffin results in a net differential of 8.2 points in favor of Kansas.  However, those 34 minutes will be played by other players, most of whom have positive efficiency ratings.  By increasing all other player minutes by a proportional amount, calculating each of those player's changes in impact as a result of the increased playing time, we can see what the overall change in score is projected to be when Blake Griffin's minutes are replaced.

 

The analysis shows that Blake's brother, Taylor, picks up more slack than anyone else, although it isn't much.  Taylor Griffin's net impact projects to be +0.53 higher with the increased playing time, while Warren's projects to be +0.48 points better.  Johnson comes in just above +0.4, while Pattillo and Davis each project to add about a quarter of a point.   The net impact of the loss of Griffin is thus -2.2 on offense for OU and +3.86 more points for KU.  That means the scoring margin would shift approximately 6 points in favor of Kansas with Griffin out.  Without changing the overall points scored, that would project to a 73-67 KU victory.

 

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