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| Preview: Michigan at Kansas |
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| Dec 18, 2009 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Michigan at Kansas (Lawrence, KS)
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.)
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| 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% |
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.)
| 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% |
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.)
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
| Kansas
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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 | |
Kansas | Michigan |
Offense #2 - Defense #6 - Tempo #116
Other Factors: Team is #26 in Effective Height
| Offense #156 - Defense #153 - Tempo #294
Size (Tall = Position is Top 50 in minutes-weighted height, Short = #250 or worse)
Other Factors: Low bench minutes (#269)
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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. | |
Statistical Strengths and Weaknesses Analysis(Note: These are based on raw statistics that are unadjusted for strength of opposition.)
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(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.
| 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 | 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 ProjectionKansas 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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