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| See updated cumulative player ratings and MVP analysis on the Dashboard page. You can navigate there using NCAA Basketball --> Kansas Basketball --> Special Analyses. |
| Preview: Kansas at Southern California |
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Kansas at Southern California (Los Angeles, CA)
PSAN-Related Player Ratings - Cumulative This Season
* Rating not based on enough data. Southern CaliforniacPSAN70 ("Efficiency" - per 70 possessions) |
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| PLAYER | cPSAN70 | cPSAN |
| Davon Jefferson | 7.92 | 17.02 |
| Daniel Hackett | 4.88 | 23.91 |
| O.J. Mayo | 4.42 | 27.12 |
| Keith Wilkinson | 4.35 | 6.82 |
| Taj Gibson | 3.63 | 18.07 |
| Kasey Cunningham | 0.48 | 1.36 |
| Dwight Lewis | 0.47 | 2.50 |
| Angelo Johnson | 0.33 | 1.25 |
| Terence Green* | 0.00 | 0.00 |
| RouSean Cromwell | -0.08 | -0.08 |
| Kyle Austin (QUESTIONABLE) | -1.39 | -0.60 |
| Marcus Simmons* (QUEST.) | -1.61 | -0.43 |
| Ryan Wetherell* | -4.19 | -1.52 |
* Rating not based on enough data.
(largely in context of ratings above)
The Trojans are clearly O.J. Mayo's team. But the statistical ratings so far indicate he's not been the most efficient. Mayo shoots an impressive 56.9 eFG%, with twice as many attempts as the next-leading shot taker. His biggest flaw is that he turns it over 4.4 times per game. That basically negates about 4 or 5 possessions a game for USC, and it's enough to turn superstar ratings into solid ratings. Nevertheless, this game will largely hinge on whether Mayo brings his "A" game or not, mostly his TO's and eFG%.
Three other players join Mayo to form the group of four key contributors for USC. Davon Jefferson is a 6-8 freshman forward who missed the first three games but has come alive since his return. He shoots a sensational 68 eFG% (all 2FG's) and is only beginning to play the real minutes he's capable of playing. Daniel Hackett not only sets up his teammates (5 AST) but has sizzled from the field (59.5 eFG% - 60% 3FG). Taj Gibson leads the team in rebounds per game (8.4) but does so at the expense of too many fouls. He hasn't shot all that well either (48.1 eFG%).
Dwight Lewis is the other starter, but he hasn't had the numbers yet this season. He's a respectable 50 eFG% shooter but struggles mightily from behind the arc (29%). He also doesn't do much else that shows up in the boxscore. It is unclear whether Austin or Simmons will be available for this game, although Simmons doesn't play many minutes, and Austin didn't register much of anything in his 18-minute performance this season.
It's a more balanced picture for the Jayhawks. Six Jayhawks sport efficiencies over 4.00, and one of those who doesn't is projected to be a 1st-round draft pick (Arthur). Most every player shoots well except for Kaun and Aldrich. Nagging tendinitis for Robinson could spell further struggles, but the return of the freshman guard Reed should help.
Highlighted Efficiency Rankings | |
Kansas | Southern California |
Individual Player Highlights: (not yet listed) |
Individual Player Highlights: (not yet listed) |
Scoring Distribution:
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Statistical Strengths and Weaknesses Analysis
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(Not a prediction. Read more details in "FAQ & Terms" section.)
Manual Adjustment | Rationale |
| Brandon Rush to play 30 minutes for KU | Recovery from injury has limited his average minutes, but it is clear that Coach Self will play Rush more in closely-contested games such as this is one. Reasonable to assume he'd play 35 minutes, but Self's recent comment in interview indicated that he does not want to play him more than 30 minutes. |
| Conner Teahan to play 0 minutes for KU | He averages more than 5 min/gm (threshold for my inclusion in my projections), but it is not reasonable to expect that he will play in such a game. |
| Sherron Collins to play 0 minutes for KU | Injured |
| Davon Jefferson to play 30 minutes for USC | Similar to Rush, he is coming off an injury and clearly is up to playing 30+ minutes, as evidenced by his 30 minutes against OU this week. |
| Kyle Austin and Marcus Simmons to play 0 minutes for USC | Questionable due to injury, plus data is very limited and may skew projections. |
(Not enough game data for accuracy)
| Kansas | 72 | ||||||||||||||
| USC | 67 | ||||||||||||||
| Kansas | |||||||||||||||
| NAME | MIN | 2FGM | 2FGA | 3FGM | 3FGA | FTM | FTA | PTS | OREB | DREB | TREB | AST | TO | STL | BLK |
| Brandon Rush | 30 | 3 | 6 | 3 | 6 | 2 | 2 | 17 | 1 | 4 | 5 | 1 | 2 | 2 | 1 |
| Cole Aldrich | 10 | 1 | 2 | 0 | 0 | 1 | 1 | 3 | 1 | 2 | 3 | 0 | 1 | 1 | 1 |
| Darnell Jackson | 21 | 3 | 6 | 0 | 1 | 2 | 2 | 8 | 2 | 3 | 5 | 0 | 2 | 1 | 1 |
| Darrell Arthur | 25 | 4 | 9 | 0 | 1 | 2 | 3 | 10 | 1 | 4 | 5 | 1 | 2 | 1 | 1 |
| Jeremy Case | 8 | 1 | 1 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 1 | 0 | 0 |
| Mario Chalmers | 28 | 2 | 4 | 2 | 4 | 1 | 2 | 11 | 0 | 2 | 2 | 4 | 2 | 2 | 0 |
| Rodrick Stewart | 20 | 2 | 3 | 0 | 1 | 1 | 2 | 5 | 1 | 2 | 3 | 3 | 2 | 1 | 0 |
| Russell Robinson | 27 | 1 | 1 | 1 | 4 | 1 | 2 | 6 | 1 | 2 | 3 | 3 | 3 | 1 | 0 |
| Sasha Kaun | 19 | 3 | 4 | 0 | 0 | 1 | 3 | 7 | 1 | 3 | 4 | 0 | 1 | 1 | 1 |
| Tyrel Reed | 12 | 0 | 1 | 1 | 3 | 0 | 0 | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 0 |
| TOTALS | 200 | 20 | 37 | 7 | 21 | 11 | 17 | 72 | 8 | 23 | 31 | 15 | 16 | 10 | 5 |
| USC | |||||||||||||||
| NAME | MIN | 2FGM | 2FGA | 3FGM | 3FGA | FTM | FTA | PTS | OREB | DREB | TREB | AST | TO | STL | BLK |
| O.J. Mayo | 33 | 4 | 8 | 3 | 9 | 2 | 2 | 19 | 1 | 3 | 4 | 3 | 5 | 2 | 0 |
| Dwight Lewis | 28 | 2 | 5 | 1 | 2 | 1 | 2 | 8 | 1 | 1 | 2 | 1 | 2 | 0 | 0 |
| Taj Gibson | 26 | 3 | 6 | 0 | 0 | 2 | 3 | 8 | 3 | 4 | 7 | 1 | 3 | 1 | 1 |
| Daniel Hackett | 30 | 2 | 4 | 1 | 2 | 2 | 3 | 9 | 0 | 4 | 4 | 5 | 2 | 1 | 0 |
| Davon Jefferson | 30 | 5 | 8 | 0 | 0 | 5 | 7 | 15 | 2 | 4 | 6 | 1 | 3 | 1 | 1 |
| Angelo Johnson | 20 | 1 | 2 | 1 | 2 | 1 | 1 | 6 | 0 | 1 | 1 | 2 | 2 | 1 | 0 |
| Kasey Cunningham | 15 | 1 | 2 | 0 | 0 | 0 | 1 | 2 | 1 | 2 | 3 | 0 | 1 | 0 | 0 |
| Keith Wilkinson | 10 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 3 | 0 | 0 | 0 | 1 |
| RouSean Cromwell | 8 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 0 | 1 | 1 | 0 |
| TOTALS | 200 | 18 | 37 | 6 | 16 | 13 | 20 | 67 | 10 | 22 | 32 | 13 | 19 | 7 | 3 |
Kansas | USC | |
| Highest Game Impact (cPSAN) | Brandon Rush | Davon Jefferson |
| Highest Efficiency (cPSAN70) | Cole Aldrich (Projection may be invalid since Self may end up playing Aldrich sparingly compared to avg) | Davon Jefferson |
| Highest cPSAN70 compared to season avg | Cole Aldrich, Brandon Rush | Angelo Johnson, RouSean Cromwell |
| Lowest cPSAN70 compared to season avg | Tyrel Reed, Rodrick Stewart | Keith Wilkinson, Kasey Cunningham |
Sports and Numbers ProjectionKansas wins 72-67 |
Pre-Game Keys to Watch For | |||
Keys to Watch For | Metric | Result | Edge (Comments) |
| One of KU's two biggest determinants of offensive efficiency has been its OREB%, which for the first time this season is projected to be a disadvantage. KU must hit the offensive glass. | KU to grab at least 33% of available OREB | ||
| Biggest key to USC's defensive efficiency is its opponents' eFG%. KU has nation's #3 eFG%. | USC to hold KU below 50 eFG% | ||
| Freshman sensation O.J. Mayo takes twice as many shots as any other USC player and shoots at an excellent percentage. He is only a few TO's per game away from having superstar efficiency ratings. | Mayo to limit his TO's to 3 or fewer and shoot 50 eFG% or better. | ||
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