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Preview: Miami (Ohio) at Kansas Print E-mail
Dec 21, 2007

Miami-OH at Kansas (Lawrence, KS)

 KansasMiami-OH

Performance Indicators

  
Record11-0
6-4
AP Rank3
NR
Pomeroy Rating
(Updated daily)
3
56
Consensus Ranking
(Updated periodically - avg several computer ratings and polls)
2
60
Best opponents defeated this season
(Ranking from Pomeroy)

vs Arizona (#13) W 76-72 (OT)
@ Southern California (#24) W 59-55

vs Xavier (#16) W 59-57
@ Illinois (#31) W 61-58 OT
RPI
(Used for schedule strength, not team strength)
1336

Prediction Models

  
Vegas OddsmakersWin by 18
Est. Projection: 71-53
 
Prediction Tracker
(Average of several power ratings)
Win by 17.2
 
Sagarin Power Ratings (Predictor)Win by 14.3 
Pomeroy
(Efficiency and Tempo-Adjusted)

Win 68-52
95% 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 18.1
99.99% chance of victory
 
Weighted Average of All Models Above
(30% Vegas + 20% Prediction Tracker + 15% Sagarin + 15% Pomeroy + 20% Last 10)

Win by 17.3
Est. Projection: 70-52

 

 

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* 15.68 12.28
Mario Chalmers 7.34 59.86
Sasha Kaun 6.22 32.19
Cole Aldrich 6.20 15.07
Darnell Jackson 5.44 35.24
Russell Robinson 4.39 34.85
Rodrick Stewart 4.15 21.48
Tyrel Reed 4.14 8.40
Brandon Rush 4.10 23.32
Darrell Arthur 3.70 25.08
Matt Kleinmann* 3.70 1.77
Jeremy Case* 2.41 3.87
Sherron Collins 2.21 6.52
Brennan Bechard* 1.33 0.41
Brad Witherspoon* -6.17 -1.61
Chase Buford* -18.69 -5.27

 

 

* Rating not based on enough data.

Miami-OH

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

  

PLAYER cPSAN70 cPSAN
Michael Bramos 7.80 52.17
Nick Winbush* 6.86 1.82
Tim Pollitz 5.92 46.33
Tyler Dierkers 5.64 31.71
Isiah Carson* 2.31 1.84
Eric Pollitz 1.10 4.18
Sean Mock* 0.00 0.00
Alex Moosmann -0.29 -1.67
Adam Fletcher -0.66 -0.75
Dwight McCombs* -1.07 -0.98
Kenny Hayes -1.23 -7.85
Carl Richburg -2.17 -4.29

 

* Rating not based on enough data.


Player Analysis:

(largely in context of ratings above)

Sorry, not available for this game due to time constraints.  Just notice the three extremely efficient contributors for UM, and how much they have contributed overall (cPSAN) compared to their teammates.  You think maybe KU will have to focus mostly on these guys?  In the projections below, you'll notice that one of them could struggle this time out.  KU's attack is very balanced.

 

 

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

Kansas

Miami-OH

Offense #32 - Defense #2 - Tempo #89
Rank #5 in eFG%, including #5 2FG%
Rank #9 in forcing TO's
Rank #46 in limiting opp OREB%
Limit opp 2FG% extremely well (#9)
Terrible FT% (#250)
Dominate the BLK category (#2 limit own, #4 block opp)
Amazing STL rate (#6)
Very high % of FG's assisted (#24)

 

Individual Player Highlights: (thru Dec 16)

Mario Chalmers - #32 eFG%, #122 AST rate, #6 STL rate
Russell Robinson - #129 STL rate
Darrell Arthur - #96 BLK rate
Darnell Jackson - #73 OREB%, #164 DREB%
Sasha Kaun - #189 OREB%, #29 BLK rate
Brandon Rush - #92 TO rate (good)

Offense #36 - Defense #97 - Tempo #338
Poor OREB% (#272)
Poor at using FT line (#295)
Give up very high 2FG% (#262)
Rarely lose ball on STL (#15) but rarely STL it back (#286)
Very high % of FG's assisted (#25)

 

Individual Player Highlights: (thru Dec 16)

Tim Pollitz - #147 AST rate
Michael Bramos - #115 eFG%, #3 TO rate (good)
Tyler Dierkers - #161 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, UM relies very heavily on 3FG's but rarely on FT's, while its opponents rely unusually heavily 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 Miami-OH
Kansas 2pt FG%**    
Miami-OH FT Rate    
Miami-OH OREB**    
Miami-OH % own 2FGA's blocked**    
Kansas eFG%**    
Kansas % own 2FGA's blocked**    
Kansas % Poss STL by Opp    
  Kansas TO rate  
  Kansas PTS/Poss  
  Miami-OH TO rate  
  Miami-OH 2pt FG%  
  Miami-OH PTS/Poss  
  Kansas OREB  
  Miami-OH % Poss STL by Opp  
  Miami-OH FT%  
  Miami-OH eFG%  
  Kansas 3pt FG%  
  Miami-OH 3pt FG%  
    Kansas FT Rate
    Kansas FT%**

 

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

Miami-OH will take above avg % of its FG's from 3-pt
Miami-OH will have above avg % of FG's assisted
Kansas plays faster tempo than Miami-OH
 

 

 

Game Projections

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

No manual adjustments to projections were made for this game

 

Projected Boxscore

 

Kansas 68                            
Miami-OH 52                            
                               
Kansas                              
PLAYER MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Brandon Rush 23 2 5 1 4 1 1 8 1 2 3 1 1 1 1
Cole Aldrich 9 1 2 0 0 0 1 2 1 2 3 0 0 0 1
Darnell Jackson 22 3 5 0 0 1 2 7 3 3 6 0 1 1 1
Darrell Arthur 23 4 8 0 0 1 2 9 2 3 5 0 2 1 1
Mario Chalmers 27 2 4 1 3 1 2 8 0 2 2 3 2 2 0
Rodrick Stewart 18 2 3 1 1 1 1 8 1 1 2 2 1 0 0
Russell Robinson 27 1 1 1 3 2 2 7 1 1 2 3 2 1 0
Sasha Kaun 18 3 3 0 0 2 3 8 2 2 4 0 1 0 2
Sherron Collins 21 2 4 1 4 1 1 8 0 2 2 2 1 1 0
Tyrel Reed 12 0 1 1 2 0 0 3 0 1 1 1 0 0 0
TOTALS 200 20 36 6 17 10 15 68 11 19 30 12 11 7 6
                               
Miami-OH                              
PLAYER MIN 2FGM 2FGA 3FGM 3FGA FTM FTA PTS OREB DREB TREB AST TO STL BLK
Tim Pollitz 37 5 11 0 1 3 3 13 2 5 7 3 4 1 0
Michael Bramos 35 3 5 3 6 3 4 18 1 4 5 1 1 1 1
Kenny Hayes 30 1 4 1 3 2 2 7 1 4 5 1 2 1 0
Alex Moosmann 28 0 1 1 3 1 1 4 0 1 1 1 2 1 0
Tyler Dierkers 30 1 2 0 1 1 1 3 1 4 5 3 2 2 1
Eric Pollitz 18 1 1 1 1 0 1 5 1 2 3 1 2 0 0
Carl Richburg 12 0 1 0 1 0 1 0 0 2 2 1 1 0 0
Adam Fletcher 10 1 1 0 0 0 0 2 0 0 0 1 1 0 0
TOTALS 200 12 26 6 16 10 13 52 6 22 28 12 15 6 2

 

 

Projection Summary

 

 
Projection
Comments

 OVERALL RESULTS

 Final Score  KU 68-52  
 Tempo (# poss)
 58 

 FOUR FACTORS ADVANTAGES

 eFG%  KU 55-50%  If KU's health has improved, this may be too high a projected eFG% for UM.
 TO Rate (lo better)  KU 26-19%  
 O-Reb% KU 33-24% 
 FT Rate UM 24-19% Even though they will have a higher FT rate, it doesn't project to an advantage in scoring at the FT line.  The FT rate is affected by how many field goals are attempted, thus the discrepancy.
 Four Factors Overall
 Healthy advantages in shooting, turnovers and rebounding should power KU to victory.  
 Leading Scorers

 KU - Arthur (several others tied 2nd)

 Opp - Bramos, T. Pollitz

 Wow! Projections show no KU players in double figures. Incredible distribution of scoring in a slow game.

 PLAYER PROJECTIONS (>10 min played)

 Highest cPSAN
(game impact)

 KU - Kaun

 Opp - Bramos

 
 Highest cPSAN70
(efficiency)

 KU - Kaun

 Opp - Bramos

 
 Highest efficiency vs season-to-date

 KU - Kaun, Stewart

 Opp - E. Pollitz, Hayes

 
 Lowest efficiency vs season-to-date

 KU - Chalmers, Rush

 Opp - Richburg, T. Pollitz

 

 

 

 

 

 

Sports and Numbers Projection

Kansas wins 68-52

(final projection) 

 

 

Pre-Game Keys to Watch For

Keys to Watch For

Metric

Result

Edge (Comments)

 UM takes a very high % of its shots from behind the arc as have KU's opponents all season.  UM's 3FG% will be key.  UM to shoot at least 40% from 3FG
  
 In such a slow game, KU could get frustrated if it fails to get second-chance scoring opportunities.  Arthur and Kaun can't disappear on the boards as they often have this season.  KU to grab at least 35% of available OREB
  
 The only players that can carry UM are Bramos, Pollitz and Dierkers.  Two of those three must have strong games.  At least 2 of Bramos, Pollitz and Dierks have cPSAN70 efficiencies of +5.00 or higher for game.