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Breaking Down the
Regions – March 18, 2013
This is a follow-up
from yesterday’s post (see below) – with the other two regions. I will continue
to update these after each round, and it will be interesting to see how early
round upsets affect other’s teams Final Four chance. I will consolidate all 16
into one “Championship” Bracket Sunday night.
This is another
instance of quality team (Syracuse) being under-seeded and throwing off the expected
Final Four Odds. Illinois-Colorado is the 7/10 game, but I think that those
seeds should be flipped. This may be the region I am most excited about – only because
I think I’m going to be able to see the games in the San Jose pod, and then I’ll
be in DC next weekend for the Elite 8.

Many other computer
models show the same thing I am here – that Florida (a 3 seed) has a better
chance of making the Final four than either the #1 or #2 seeds. I also think
Minnesota was under-seeded because of their subpar conference record – I have
them rated the same as their opponent (UCLA) in the 6-11 matchup.
Breaking Down the
Regions – March 17, 2013
I’ve always liked how
Nate Silver (@FiveThirtyEight) breaks down each
team’s chances of winning based on the outcomes and matchups of the other teams
in their region. I’ve decided to do the same thing. The first two are up now,
and the other two should be finished later today.
West Region

The two most interesting things I took from this chart are New
Mexico final four chances being higher than Ohio State’s (mostly due to better
matchups, they have nearly identical profiles) and Arizona (#6 Seed) and Iowa
State (#10 seed) having identical four chances. My system has Belmont and
Arizona being nearly even. Despite their win yesterday, my rankings have
Wisconsin seeded too high, with Belmont and Iowa St seeded too low.
Midwest Region

This might be the most interesting of all the regions to me – my
system completely disagrees with the seeding from Michigan St to Oregon.
Missouri and Saint Mary’s are much better than their seed, while Creighton and
Colorado St are perhaps a bit too high. However, this is really only a two
horse race, with Duke and Louisville the heavy favorites to advance to Atlanta.
Missouri Valley
Conference Tournament Preview
Location: Scottrade Center; St. Louis, MO
Dates: March 7-10, 2013
First Round
#9 Drake vs. #8
Bradley
#10 Southern Illinois
vs. #7 Missouri State
Second Round
Game 1 Winner vs. #1
Creighton
#5 Indiana State vs.
#4 Evansville
#6 Illinois State vs.
#3 Northern Iowa
Game 2 Winner vs. #2
Wichita State
Favorite: Creighton (40)
Creighton has one of
the most efficient offenses in college basketball, averaging 1.19 points per
possession, good for 9th in the
nation. They lead the nation in both 2-point
percentage (56.9%), and 3-point percentage (42.2%). Their potency on offense
offsets some of the struggles that the team faces on the defensive end. Their
prolific offense is the reason why Creighton outscored MVC opponents by .15
points per possession, despite having only the 6th best defense in
the conference. Creighton has improved drastically on the defensive end of the
court this season, but it will be interesting to see if they can increase their
attention on that side of the court going forward in the postseason. The Blue
Jays are led by arguably the best offensive player in college basketball in
junior forward Doug McDermott. McDermott is a highly efficient scorer, shooting
59.4% on 2-pointers, and 48.1% on 3-pointers.
Sleeper: Indiana State (129)
The Sycamores lurk as
a dangerous team in this year’s MVC Tournament. They defeated both Indiana
State and Creighton this season, along with potential #1 seed Miami and several
other tournament hopefuls. Do not let the 17-13 overall record fool you,
Indiana State is amongst the better mid-majors in the
nation this season. Indiana State does a tremendous job of drawing fouls, as
they take over 22 free throw attempts per game. They are led by senior guard
Jake Odum, who is a magnet to the free throw line. Odum averages almost as many free throw attempts (7.4), as
he does field goal attempts (8.3) per game.
Winner: Wichita State (39)
Wichita State was neck
and neck with Creighton all season long, losing the conference on the last day
of the season in a 91-79 loss to the Blue Jays. Wichita State does a tremendous
job of controlling the glass as they led the MVC in both offensive rebounding
rate, collecting 36.9% of their misses, and opponent offensive rebounding rate,
allowing opponents to collect 24.3% of their misses. The Shockers also do a
terrific job of altering shots, blocking 12% of the shots their opponents take
in conference play. Wichita hangs its hat on its defensive play, and that
should be beneficial in Arch Madness this weekend.
West Coast Conference Tournament Preview
Location: Orleans Arena,
Las Vegas, NV
Dates: March 6-11, 2013
First Round
#9 Loyola Marymount vs.
#8 Portland
Second Round
Game 1 Winner vs. #5 San
Francisco
#7 Pepperdine vs. #6 San
Diego
Quarterfinals
Game 2 Winner vs. #4
Santa Clara
Game 3 Winner vs. #3 BYU
Semifinals
Game 4 Winner vs. #1
Gonzaga
Game 5 Winner vs. #2 St.
Mary’s
Favorite: Gonzaga (6)
Gonzaga is the only team
left in college basketball that has not lost yet in conference play. The
Bulldogs 16-0 mark in the conference has been fueled by the fact that Gonzaga
has outscored opponents by an amazing .30 points per possession. Gonzaga has
dominated the WCC, and it has not been close. They are either first or second
in basically all major statistical categories in the conference, which also
speaks to their dominance thus far. If Gonzaga can win the WCC tournament, it
is pretty much a foregone conclusion that they will receive a #1 seed, and quite possibly the overall #1 seed when the
brackets are announced. This year’s version of the Bulldogs are Mark Few’s most complete group in his tenure at the school,
scoring 1.20 points per possession, while holding opponents to only .89 points
per their possession. If anyone hopes to beat the Bulldogs, they will have to
outscore them, as Gonzaga has only played one game this year where they averaged
less than 1 point per possession (Clemson).
Sleeper: San Francisco
(157)
It is hard coming up
with a sleeper when no team in the conference has defeated St. Mary’s or
Gonzaga. However, if any team looks ready for the task at hand, it is San Francisco.
The Dons played both Gonzaga and St. Mary’s relatively close in both of their
matchups with the teams. What makes San Francisco a major sleeper in this
tournament is the fact that they are one of the nation’s best at shooting
3-pointers. They are 9th in the nation in 3-point field goal
percentage, making 40.2% of them on the year. During conference play, the Dons
shot 40.1% of their shots from behind the arc, and have made 41.1% of these
shots thus far. It is possible that the Dons could get hot from behind the arc
during the WCC tournament, and find a way to upset the favorites in Gonzaga and
St. Mary’s.
Winner: St. Mary’s (25)
If Gonzaga is far and
away the best team in the West Coast this season, you can make the case that
St. Mary’s has separated itself from the rest of the conference as the 2nd best
team in the conference. While their mastery has not been on the level of
Gonzaga, St. Mary’s dominance in the conference has been just as impressive,
outscoring opponents by .20 points per possession. The Gaels finished the
season with a 14-2 record in the conference, with both of their losses coming
to Gonzaga. St. Mary’s has the firepower to match Gonzaga offensively, as they
were 9th in the nation in offensive efficiency (116.7).
Defeating a team three times in one year is one of the hardest tasks in college
basketball, and should we get a third matchup of Gonzaga-St. Mary’s in the WCC
final, St. Mary’s has more than enough talent to pull off the upset.
Patriot League Tournament Preview
Location: Campus Sites
Dates: March 6-13, 2013
First Round
#8 Navy vs. #1 Bucknell
#5 American vs. #4 Army
#7 Holy Cross vs. #2
Lafayette
#6 Colgate vs. #3 Lehigh
Favorite: Bucknell (52)
Bucknell stormed through the Patriot League this
season, finishing 12-2 in conference play. They outscored conference opponents
by .16 points per possession, which was the result of having the best defense
in the conference. Bucknell held opponents
to an effective field goal percentage of 42.8%, good for 7th in
the nation. In addition to doing a fantastic job of holding teams to low
shooting percentages, the Bison are also fantastic at holding teams to few second chance opportunities. Bucknell’s ability to dominate the defensive glass has
led to them allowing opponents to collect 23.9% of available offensive
rebounds, a mark good enough for 2nd in the nation. Considering
the fact that teams miss a significant amount of their shots when playing Bucknell, this is a rather remarkable feat.
Sleeper: Lafayette (226)
Winners of their last
five, Lafayette enters the Patriot League tournament poised to knock off
favorite Bucknell. The Leopards are owners of the
Patriot’s best offense, scoring 1.08 points per possession, which is helped by
having one of the nation’s best 3-point percentages (38.2%). Almost 40% of
their shots come from behind the arc, and they connect on them with a frequency
that justifies their reliance on the shot. Lafayette also does a great job of
maximizing their possessions on offense with a 15.1% turnover percentage, while
forcing turnovers on over a fifth of their opponents’ possessions.
Winner: Bucknell (52)
Bucknell will have the advantage of playing every
game in their home arena, a place that they only lost once this entire season.
Their biggest competition in the Patriot, Lehigh, will most likely be without
All-American guard C.J. McCollum, who
suffered a broken left foot in early January. The Bison are led by their own
star, and probably the best college basketball player that the average fan has
never heard of - senior big man Mike Muscala. Muscala is a major reasonwhyBucknell dominates
the defensive glass, as he is third in the nation in defensive rebounding rate
(28.5%). Their ability to limit second chance opportunities, along with the
fact that they rank nationally in the top 5 for turnover percentage (15.6%),
will make it difficult for anyone to come into Bucknell and
knock off the home favorites.
Ohio Valley Conference Tournament Preview
Location: Nashville
Municipal Auditorium, Nashville, TN
Dates: March 6-9, 2013
First Round
#8 UT Martin vs. #5
Morehead State
#7 Eastern Illinois vs.
#6 Southeast Missouri
Quarterfinals
Game 1 Winner vs. #4
Tennessee State
Game 2 Winner vs. #3
Eastern Kentucky
Semifinals
Game 3 Winner vs. #1
Belmont
Game 4 Winner vs. #2
Murray State
Favorite: Belmont (30)
Where do we start with
Belmont? The Bruins are outscoring Ohio Valley opponents by a staggering .23
points per possession. They have the 2nd best effective field
goal percentage (57.2%) in the nation. On the defensive side of the ball,
Belmont forces turnovers on 24.4% of their opponents’ possession, good for 15thin
the country. Belmont stormed through the Ohio Valley to a 14-2
record, and will have the pleasure of playing the OVC tournament just a few
blocks down from its campus. There is a pretty good reason why Belmont is
considered the favorite to win the Ohio Valley tournament, and secure the
conference’s automatic bid.
Sleeper: Eastern
Kentucky (83)
It might be odd to see
the 2nd highest ranked team in the conference as the sleeper,
but Belmont has been so dominant this season that every other team in the
conference faces a significant uphill battle to defeat the Bruins. The team
best equipped to knock off Belmont is Eastern Kentucky. The Colonels
are great at protecting the basketball, and forcing teams into turning the ball
over. Eastern Kentucky is 4th in the nation in opponent
turnover percentage (26.3%), which is impressive considering the fact that they
play at a slower pace than most teams that force a significant amount of
turnovers. They also do a great job of converting free scoring opportunities,
as they are 2nd in nation in free throw percentage, shooting
78.5% from the line.
Winner: Belmont (30)
The Bruins are just too good
and too focused for anyone to beat them this weekend in Nashville. Belmont is
playing for the chance to earn a single digit seed in this year’s tournament,
and there is a pretty good chance that they do earn such a seeding when the
brackets are released on March 17th. The Bruins are one of the most
experienced teams in the nation, starting 3 seniors and 2 juniors, which has a tremendous benefit at this time of the year.
Northeast Conference Tournament Preview
Location: Campus Sites
Dates: March 6-9, 2013
First Round
#8 St. Francis
Brooklyn vs. #1 Robert Morris
#7 Central Connecticut vs. #2 Wagner
#6 Quinnipiac vs. #3 LIU Brooklyn
#5 Mount St. Mary's vs. #4 Bryant
Favorite: Robert Morris
(119)
Robert Morris, as the #1
seed in the tournament, will have the pleasure of playing in their home gym for
every game, where they only lost twice all season long. In Northeast play, they
have outscored opponents by .13 points per possession, the best differential in
the league this season. What makes the Colonials so efficient on defense is the
fact that they force turnovers on 24.7% of possessions in Northeast Conference
play. Offensively, the Colonials take a large percentage of three pointers
(40.4% of all their shots), and make a significant amount of them (40.7%) in
conference play. Their propensity for shooting 3-pointers, along with the
consistency in which they knock them down makes them a tough out for anyone
that travels to Pittsburgh to face them.
Sleeper: Mount St.
Mary’s (217)
Mount St. Mary’s enters
the Northeast Conference tournament as the hottest team in the league, winning
their last 7 games. Much like Robert Morris, Mount St. Mary’s does a great job
of forcing turnovers. They were amongst the nation’s best
at opponents’ turnover percentage, forcing turnovers on 24.5% of their
opponents’ possessions. Unfortunately for the Mountaineers, they will have to
rely on their ability to force turnovers on the defensive end if they hope to
pull off some upsets in this tournament, as they are amongst the nation’s worst
in effective field goal percentage.
Winner: Bryant (134)
One of two teams to hand
Robert Morris a loss at home this season was Bryant, where they defeated the
Colonials by 7 points. The Bulldogs led the Northeast in offensive efficiency
(117.0) & effective field goal percentage (58.1%), and was able to exploit
Robert Morris’s vaunted defense in both of their matchups. Bryant is
particularly efficient as 2-pointers, as they scored on 58.5% of their 2-point
baskets, which was the best mark in the conference this
season. Given Bryant’s offensive efficiency, and the fact that they
have already defeated Robert Morris once at home already, the Bulldogs should
be poised to knock off the Colonials and win the Northeast automatic bid.
Atlantic Sun Conference Tournament Preview
Location: Hawkins Arena,
Macon, GA
Dates: March 6-9, 2013
First Round
#1 Mercer vs. #8
Lipscomb
#2 FGCU vs. #7 North Florida
#3 Stetson vs. #6 ETSU
#4 Jacksonville vs. #5 USC Upstate
Favorite: Mercer (165)
Mercer enters the
Atlantic Sun tournament as the hottest team in the conference, winning 9 of the
team’s last 10 matchups. The Bears led the Atlantic Sun in both offensive and
defensive efficiency this season, en route to a 14-4 conference record. Mercer
plays at one of the slowest tempos (62.4
possessions/game) in the conference, and they outscore teams by .14
points per possession. Conference opponents get their shots blocked on 13% of
possessions against Mercer, which is best in the conference. In
addition to dominating Atlantic Sun competition, Mercer also holds a key
victory over NCAA tournament hopeful Alabama.
Sleeper: Stetson (223)
If it were not for
Mercer, Stetson would be the hottest team entering the tournament, winning 5 of
their 6 last games. They have been doing it with great shooting from behind the
arc, making a conference-best 38.7% of their threes during league play. The
Hatters are an unselfish bunch, assisting on 66.7% of their made field goals.
In a 3 game tournament, Stetson’s unselfishness and efficiency from the
three point line makes them a candidate to
knock off favorite Mercer and steal the Atlantic Sun’s automatic bid.
Winner: Florida Gulf
Coast (108)
While Mercer won the
regular season conference title, our metrics have Florida Gulf Coast as the far
superior team, and it is easy to see why the metrics make that case. The Eagles
do a great job of forcing their opponents into committing turnovers, as
conference foes turn the ball over on 21.9% of their possessions. Florida Gulf
Coast also is amongst the nation’s best at
making 2-pointers, converting 53% of their twos on the season. They split the
season series with conference favorite Mercer, with their loss to Mercer coming
in a road overtime loss. Given how close both teams are, the Eagles
are in a good position to win the Atlantic Sun automatic bid.
Note: This conference
preview was written by Geoff Hutchinson. Geoff can be found on twitter at @HutchNGo.
Big South Conference Tournament Preview
Location: HTC Center,
Conway, S.C
Dates: March 5-10, 2013
First Round
#4N Radford vs. #5S
Winthrop
#3S UNC Asheville vs. #6N Longwood
#3N Campbell vs. #6S Presbyterian College
#4S Coastal Carolina vs. #5N Liberty
Quarterfinals
Game 1 Winner vs. #1S
Charleston Southern
Game 2 Winner vs. #2N
VMI
Game 3 Winner vs.
#2S Gardner-Webb
Game 4 Winner vs. #1N
High Point
Favorite: Charleston Southern
(154)
Charleston Southern
enters the Big South tournament as the #1 seed from the South Division, which
has been more competitive than the North Division this season. The Buccaneers are
one of the nation’s leaders in three point attempts, as 42.9% of the team’s
shots are from behind the arc. Teams in the Big South have not been able to
stop the team as they lead the conference in 3 point percentage (37.1%). They
take a large amount of the most efficient shot in basketball, and make a great
enough percentage of them to justify their reliance on the shot. On the
defensive end of the court, the Buccaneers do a great job of limiting second
chance opportunities for its opponents, as conference opponents to a 28.8%
offensive rebound rate.
Sleeper: Coastal
Carolina (224)
Coastal Carolina has the
pleasure of having the conference tournament being played in its home arena,
which should make them a dangerous foe for this week. The Chanticleers have
dominated the rebounding margin in the Big South this season, gathering 38.4%
of all their available offensive rebounds, while allowing opponents to gather
28.8% of their own misses. In addition to their rebounding prowess, Coastal
Carolina does a great job of causing havoc when their opponents have the
basketball, leading the conference with a 12% steal range. Unfortunately for
them, they are not particularly careful with the ball themselves, turning the
ball over on over 20% of their possessions.
Winner: Charleston
Southern (154)
The Buccaneers have
outscored conference opponents by .10 per possession, which is second in the
conference behind High Point. High Point could have gotten serious
consideration in this spot, but success in the tournament seems unlikely after
the loss of super freshman John Brown to a broken foot last week. Charleston
Southern is coming off losses in 2 of their last 3 games, but given the overall
success of the team this season, they will find a way to generate some momentum
and advance to the NCAA tournament.
Note: This conference
preview was written by Geoff Hutchinson. Geoff can be found on twitter at @HutchNGo.
Horizon League Tournament Preview
Location: Campus sites
for the first round & final; Valparaiso, IN for the quarterfinals &
semifinals
Dates: March 5-12, 2013
First Round
#9 Milwaukee vs. #4
Green Bay
#8 Cleveland State vs. #5 Illinois-Chicago
#7 Loyola vs. #6
Youngstown State
Second Round
Game 1 Winner vs. Game 2
Winner
Game 3 Winner vs. #3
Wright State
Semifinals
Game 5 Winner vs. #1
Valparaiso
Game 4 Winner vs. #2
Detroit
Favorite: Valparaiso
(86)
Horizon League opponents
have struggled stopping the Crusaders from scoring this season. Valparaiso
outscored conference opponents by .14 per possession en route to a 13-3
conference record. Valparaiso led the Horizon in both 2 point (56.5%) and 3
point percentage (38.9%). In addition to leading the league in 3 point
accuracy, they have held opponents to the lowest amount of 3 point percentage
(30.9%) in conference play. Valpo will also
have the advantage of playing its games in its home arena, where they only lost
twice this year.
Sleeper: Wright State
(141)
In March, defense wins
championships, and if any team has a chance of pulling an upset or two in the
Horizon tournament, it would be the stingy Wright State Raiders. Conference
foes have struggled offensively against them, as they have held opponents to an
offensive efficiency of 92.6 per 100 possessions, and forced turnovers on 25.6%
of their opponents’ possessions. Very impressive numbers
for the best defense in the Horizon League. The key for the Raiders
going forward will be their ability to generate enough offense to advance in
the tournament, as they have struggled at times on the offensive side of the
ball. If Wright State can advance to the semifinals, they will a face Detroit
team that they split the season series with.
Winner: Detroit (82)
One of the two teams to
defeat Valparaiso in their home gym this season was the Detroit Titans. Detroit
led the Horizon League in points per possession differential, outscoring
opponents by .15 per possession, while playing at the 15th fastest tempo in the nation with 70.9 possessions per game. A rather
impressive component of Detroit’s offense is the fact that they led the Horizon
in turnover percentage (14.4) given their uptempo pace.
They split the season series with Valparaiso, including a home loss that saw
Detroit blow a late game lead after comfortably leading for most of the game.
The teams that have been able to defeat Detroit this season, have
been able to force Detroit into a slower tempo game. However, teams in the
Horizon this season have not been able to slow them down, and it is not likely
that teams will start slowing them down now.
Early Conference Leaders
As
we approach the beginnings of conference play, we have enough data to look and
see who the conference leaders are - and how they compare to the rest of their
conference. This first table shows the conference leaders that have the biggest
gap between themselves and the 2nd best team in their conference. SchoolsWith the Highest Difference Between Self and 2nd Highest in own Conference
|
Conference |
School |
Ranking |
Second Place School |
Delta |
|
SoCon |
Davidson |
.614 |
Charleston |
.126 |
|
Big South |
Gardner-Webb |
.568 |
UNC-Asheville |
.116 |
|
SEC |
Florida |
.810 |
Texas A&M |
.100 |
|
Big Sky |
Weber St |
.579 |
N Arizona |
.099 |
|
Ivy League |
Princeton |
.581 |
Columbia |
.085 |
Instead of comparing against the 2nd place team, I also looked at which teams
are the highest against their league average.
Schools With the Highest Difference
Between Self and Conference Avereage
|
Conference |
School |
Ranking |
Ranking Above Avg. |
|
SEC |
Florida |
.810 |
.221 |
|
West Coast |
Gonzaga |
.741 |
.204 |
|
SoCon |
Davidson |
.615 |
.200 |
|
America East |
Stony Brook |
.628 |
.184 |
|
Big XII |
Kansas |
.797 |
.180 |
Seeing Florida and Davidson on both lists, its apparent
they are the two schools most likely to not just win their conference - but
they have a real shot at running the table in conference play.
Most Inconsistent Teams - 12/17/2012
By looking at the
standard deviation of each team's Win Probabilities, I am able to determine
which teams are the most inconsistent (or the most consistent). The expectation
is that the inconsistent teams will be ranked in the middle of the pack, while
the "consistent" teams will either be consistently good (or bad).
Most Inconsistent Teams
|
School |
Record |
Avg. CWP |
Min CWP |
Max CWP |
Std Dev CWP |
|
Denver |
3-5 |
0.404 |
.017 |
.979 |
.444 |
|
USC Upstate |
3-5 |
0.432 |
.003 |
.983 |
.443 |
|
High Point |
2-5 |
0.474 |
.059 |
.899 |
.442 |
|
Miss. St |
3-6 |
0.330 |
.010 |
.963 |
.440 |
|
Tulsa |
5-4 |
0.531 |
.008 |
.953 |
.439 |
While these teams are all relatively mediocre (or bad) - the teams
with the smallest variance in CWP are Miss Valley State, Syracuse, Grambling
State, and Kansas. Syracuse and
Kansas are ranked #2 and #3, respectively, while Grambling is #347 (which is
lowest of all D-1 teams), and Miss Valley St isn't far behind at 328.
Details of my Leverage Index - 12/1/2012
With
six years of play-by-play data, I've made several changes to the core processes
to produce my rankings. Last year, all win probabilities were based on all the
games - I looked at Home vs. Away, but never took into account the quality of
the teams. Kentucky being down 5 with ten minutes to go against Central
Connecticut State on a Neutral Floor is a lot different than if the score was
flipped (about 99% vs about 10%). In
addition to this, I have created a "Leverage Index" that measures the
potential impact of each situation in the game. I took each possible situation
(Matchup, Margin, Timeleft)
and looked at how the win probability would change if each team scored 1 pt - and then averaged the differences to measure each
situations leverage.
Some examples:
A vs. B - Up 6, 10 Minutes Left
|
Matchup |
Margin |
Minutes Left |
Win Probability |
|
A vs. B |
5 |
10 |
89% |
|
A vs. B |
6 |
10 |
94% |
|
A vs. B |
7 |
10 |
99% |
In
this example, then Win Probability of being up 6 with 10 minutes to go is 94% -
but the Leverage Index is about 5% - which is relatively high.
A vs. B - Up 1, 3 Minutes Left
|
Matchup |
Margin |
Minutes Left |
Win Probability |
|
A vs. B |
0 |
3 |
60% |
|
A vs. B |
1 |
3 |
72% |
|
A vs. B |
2 |
3 |
86% |
However
here, the Leverage Index is much higher - about 13% (average of 12% and 14%).
I've tried in the past to quantify garbage time - and this tool can enhance
that. By looking at plays that are high-leverage at any time in the game - we
can create a much more general concept of "crunch time" than simply
looking at plays in "late and close" games.
Most Unusual Games of the Year: First Three
Weeks Edition - 11/30/2012
This
is the first full season of running this site for me - so I was not sure how
long it would take before the Rankings and Stats became meaningful. Even though
there is plenty of room for growth - I feel pretty confident that this site
reflects most everything that has happened so far this season. With that said -
I'd like to highlight some of the most unique individual performances so far
this season.
#1: Ian Clark, Belmont: In a 74-71 loss to Northeastern in Alaska, Ian Clark
had one of the most remarkable games of the year. He scored 29pts on 13 shots
(10/13 from the floor, 9/11 from 3s) - but he was 0/0 from the free throw line
AND managed to FOUL OUT. He did all of this in 26 minutes. I'll be shocked if
this doesn't remain the top game all year.
#2: Derrick Thomas, Drexel: While Clark was a marvel of efficiency - Derrick
Thomas' performance is remarkable for how little impact he had on the box
score. He managed to play 32 minutes, go 0/3 from the floor, and manage only 1
rebound, 1 assist, and 1 personal foul.
#3: Keifer Sykes, Green Bay: I am not quite
sure what bucket to put this game into. This was in Green Bay's season opening
win over Chicago St. Sykes scores 31 pts on
14 shots (7/14 from the floor, 0/0 on 3s, and 17/19 on FTs). If thats all he did, it would be
pretty remarkable - but he also managed NINE turnovers and ZERO assists. If
anyone can provide me with highlights of this game - let me know.
SevenOvertimes Tour of College Basketball
With
my recent relocation to the west coast - I'm going to make a large effort this
year to visit as many colleges - and colleges games as I can. Even though there
are plenty of schools in the Bay Area (Cal, Stanford, St. Marys, USF, Santa Clara, San Jose State - and several more
within a modest drive) - I decided to start this effort with a trip up to
Eugene to see Vanderbilt play against Oregon. I've been to dozens of Vandy games in my life - and a fair number of them
have gone poorly. But I don't think I've seen a game like this since the
disaster against Siena in the first round of the 2008 NCAA Tournament. The ONLY
time this game was close was at 17-14 when Vandy missed
a 3. About 15 earth minutes and 10 game minutes later, it was 41-20. The only
exciting thing for Vandy in the entire game
was seeing Stallings get ejected.
This was by far the newest college basketball gym I have ever been to - and the
nicest. The court was as unique as I expected, and I don't expect to attend
another game like it all year.
Geographic Recruiting Diversity by Conference
Updated 2.26.12
I had always been under
the assumption that public schools were more likely to recruit in state and
that private schools were more likely to go outside their local area to find
talent. The table below shows the average # of different states/countries
represented on each team by conference. The Ivy and Patriot leagues (both
located predominately on the east coast - where there are smaller states - and
have excellent academics) lead the pack with averages of 11 and 10,
respectively. The average was approximately 7.75, with the Atlantic Sun, Big West,
and Southland at the bottom - featuring an average of less than 6 teams each.
|
Conference Name |
Avg # of States Per Team |
|
Ivy |
11.5 |
|
Patriot |
10.5 |
|
Southern |
8.8 |
|
Missouri Valley |
8.8 |
|
America East |
8.4 |
|
Atlantic Ten |
8.4 |
|
Big East |
8.4 |
|
Conference USA |
8.3 |
|
Big South |
8.09 |
|
Ohio Valley |
8.0 |
|
Colonial |
8.0 |
|
Pac-12 |
7.9 |
|
Sunbelt |
7.8 |
|
ACC |
7.8 |
|
Mountain West |
7.7 |
|
Northeast |
7.7 |
|
Horizon League |
7.7 |
|
Big Sky |
7.6 |
|
MEAC |
7.6 |
|
SEC |
7.5 |
|
WAc |
7.5 |
|
Big Ten |
7.5 |
|
Independents |
7.4 |
|
Big XII |
7.4 |
|
SWAC |
7.3 |
|
Great West |
7.3 |
|
MAAC |
7.0 |
|
West Coast |
6.6 |
|
MAC |
6.6 |
|
Summit |
6.5 |
|
Atlantic Sun |
5.7 |
|
Southland |
5.4 |
|
Big West |
5.3 |
Most Unlikely Upsets
Updated 2.23.12
A previous post
discussed the most unlikely comebacks. This post is about highlight three of the
most unlikely upsets of the year. I limited my dataset to conference play only
- and wanted to find the games with the highest predicted margin where the home
team lost. There might've been games where a heavy road favorite lost - but
losing on someone's home court is not as interesting.
|
Home Team |
Visitor Team |
Game Date |
Final Score |
Predicted Margin |
Variance |
|
Charleston |
UNC Greensboro |
2012-01-12 |
66-77 |
24 |
-31 |
|
Texas A&M-CC |
UTSA |
2012-01-11 |
49-50 |
20 |
-21 |
|
UMBC |
New Hampshire |
2012-01-02 |
76-82 |
20 |
-26 |
Home Court Advantage By Conference
Updated 2.17.12
A common belief on the
difference between good teams and just average teams is their ability to win on
the road - in conference play. This made me decide to examine Home Court Advantage
- by Conference - to see which conferences have the strongest effect. This
difference could be due to lots of average teams (like Arkansas who can't win
on the road) or lots of "tough" teams (apparently tough means they
can win on the road to most people). The rankings below are for all games thru
Wednesday January 16th, 2012.
|
Rank |
Conference Name |
# of Wins |
# of Games |
Win % |
|
1 |
SEC |
48 |
65 |
73.8% |
|
2 |
Pac-12 |
51 |
77 |
66.2% |
|
3 |
A-10 |
50 |
76 |
65.7% |
|
4 |
Mountain West |
24 |
37 |
64.8% |
|
5 |
SoCon |
58 |
90 |
64.4% |
|
6 |
MAC |
45 |
70 |
64.2% |
|
7 |
C-USA |
43 |
67 |
64.1% |
|
8 |
B1G Ten |
49 |
77 |
63.6% |
|
9 |
MVC |
47 |
74 |
63.5% |
|
10 |
Big XII |
41 |
65 |
63.0% |
|
11 |
BIG EAST |
66 |
105 |
62.6% |
|
12 |
Summit |
40 |
65 |
61.5% |
|
13 |
Horizon |
48 |
78 |
61.5% |
|
14 |
Great West |
11 |
18 |
61.1% |
|
15 |
WAC |
25 |
41 |
60.9% |
|
16 |
MAAC |
47 |
78 |
60.2% |
|
17 |
Ohio Valley |
47 |
78 |
60.2% |
|
18 |
ACC |
38 |
64 |
59.3% |
|
19 |
SWAC |
35 |
59 |
59.3% |
|
20 |
Patriot |
25 |
43 |
58.1% |
|
21 |
Ivy |
18 |
31 |
58.0% |
|
22 |
Colonial |
55 |
95 |
57.8% |
|
23 |
Big South |
41 |
71 |
57.7% |
|
24 |
Southland |
41 |
72 |
56.9% |
|
25 |
A-Sun |
40 |
72 |
55.5% |
|
26 |
WCC |
31 |
56 |
55.3% |
|
27 |
Big West |
28 |
51 |
54.9% |
|
28 |
America East |
34 |
63 |
53.9% |
|
29 |
Big Sky |
30 |
58 |
51.7% |
|
30 |
NEC |
38 |
74 |
51.3% |
|
31 |
Sun Belt |
38 |
74 |
51.3% |
|
32 |
MEAC |
27 |
55 |
49.1% |
Quantifying "Garbage Time"
Updated 2.15.2012
By looking at cumulative
win probabilities I am able to quantify "garbage time" and see what
percent of each team's game are spent in garbage time. My definition of garbage
time is any play where either team has a 98% chance of winning. The top 5 Teams
in Postive Garbage Time (when they are
predicted to win) and Top 5 Teams in Negative Garbage Time can be seen below.
Top Postive Garbage
Time Teams
|
Rank |
Team Name |
Garbage Winning Plays |
Garbage Losing Plays |
Total Garbage Plays |
Total Plays |
Postive Garbage % |
Negative Garbage % |
Total Garbage Percent |
|
1 |
Ohio St |
2639 |
44 |
2683 |
6965 |
37.8% |
.6% |
38.5% |
|
2 |
Kentucky |
2757 |
1 |
2972 |
7902 |
34.8% |
.01% |
34.9% |
|
3 |
North Carolina |
2760 |
212 |
2972 |
7988 |
34.5% |
2.6% |
37.2% |
|
4 |
Syracuse |
2375 |
110 |
2485 |
7537 |
31.5% |
1.4% |
32.9% |
|
5 |
Florida |
2137 |
427 |
2564 |
6995 |
30.5% |
6.1% |
36.6% |
Top Negative Garbage Time Teams
|
Rank |
Team Name |
Garbage Winning Plays |
Garbage Losing Plays |
Total Garbage Plays |
Total Plays |
Postive Garbage % |
Negative Garbage % |
Total Garbage Percent |
|
1 |
Grambling St |
1 |
1385 |
1386 |
2201 |
.04% |
62.9% |
62.9% |
|
2 |
Texas Southern |
26 |
1524 |
1550 |
3143 |
.8% |
48.5% |
49.3% |
|
3 |
Miss. Valley St |
20 |
1597 |
1617 |
3326 |
.6% |
48.0% |
48.6% |
|
4 |
Alabama A&M |
0 |
1000 |
1000 |
2347 |
0.0% |
42.6% |
42.6% |
|
5 |
Alcorn St |
0 |
720 |
720 |
1690 |
0.0% |
42.6% |
42.6% |
Top 3 Craziest Comeback of the Year (so far)
Updated 2.14.2012
One of the great things about my system is that
it makes it very easy to quantify the most unlikely comebacks. I'm not totally
satisfied that the current design credits a comeback as "bad luck" by
the losing team, but until I can develop a better system, its the one I'm using. These
are the games in my database where the winning team had the lowest cumulative
win probability over the course of the game.
#1 Manhattan 75, Iona 72, January 12, 2012
Iona, undefeated in MAAC
play at the time (5-0), had a 17 point half time lead, and still had that with
7:58 to play in the game. Manhattan went on 21-4 run to eventually tie the
game. A Lamont Jones jumper tied the game with 3 seconds left, and a three
pointer by Emmy Andujar with 1 second left
gave Manhattan the most unlikely win of the year. The cumulative win prob for Manhattan was a measly 9.1%.
#2 UC Riverside 64, Washington St 63, November
27, 2011
This game was much earlier
in the season, and unlike Iona's undefeated conference record, the only thing
on the line here was 7th place in the 76Classic.Wazzu had a 7 point lead
at the half, and led by 17 with 7:05 to go. UC Riverside went on a 14-0 run
over the next 3 minutes to get back into the game, and scored the winning
bucket with 13 seconds left. UC Riverside's cumulative win probability was
11.4%
#3 Purdue 63, Xavier 66, December 3, 2011
With 10:44 left in this
game, Purdue took a 55-36 lead. Senior Guard Tu Holloway
scored 21 points, including 3 straight 3s in the last two minutes to bring
Xavier back into the game. Xavier took the lead at 61-60 with 1:06 left after
losing the lead at 2-0 early in the game. Xavier's CWP for this game was 21.9%
7OT Player of the Year
Updated 2.14.2012
In an effort to identify my own "Player of
the Year" candidates, I wanted to find the ten guys who had the most Win
Probability Added, but also played for "good" teams. My criteria for
good became a team who was more than 3 games over .500 overall and more than
1 game over .500 in the conference. This
dropped out players like Shane Gibson at Sacred Heart who are putting up gaudy
numbers on subpar teams.The list:
|
Rank |
Player |
Team |
WPA |
|
1 |
Doug McDermott |
Creighton |
15.25 |
|
2 |
John Jenkins |
Vanderbilt |
14.15 |
|
3 |
Dominique Morrison |
Oral Roberts |
13.32 |
|
4 |
Kyle Weems |
Missouri St |
12.55 |
|
5 |
Ramone Moore |
Temple |
12.51 |
|
6 |
Toure' Murry |
Wichita St |
12.20 |
|
7 |
Isaiah Canaan |
Murray St |
11.97 |
|
8 |
Dee Bost |
Miss St |
11.60 |
|
9 |
Kevin Murphy |
Tennessee Tech |
11.57 |
|
10 |
Lamont Jones |
Iona |
11.49 |
Most Clutch Players
Instead of filtering for
players on "good" teams, I wanted to see which players were the most
successful in the clutch so far this season. I defined "clutch" as
Average WPA in games where the margin was within 5 points with less than 10
minutes to go in a game. Players needed 75 plays to qualify, and are sorted by
Average WPA, not Total WPA as they are above. The top ten:
|
Rank |
Player |
Team |
AverageWPA |
# of Plays |
|
1 |
Zack Rosen |
Pennsylvania |
.050 |
84 |
|
2 |
Khalid Mutakabbir |
Presbyterian |
.049 |
76 |
|
3 |
Tashan Newsome |
Garnder-Webb |
.046 |
78 |
|
4 |
Shane Gibson |
Sacred Heart |
.045 |
95 |
|
5 |
Mike Moore |
Hofstra |
.045 |
85 |
|
6 |
Kent Bazemore |
Old Dominion |
.043 |
104 |
|
7 |
Julius Mays |
Wright St |
.042 |
87 |
|
8 |
Terrance Henry |
Ole Miss |
.041 |
86 |
|
9 |
Torrey Craig |
USC Upstate |
.041 |
89 |
|
10 |
Kevin Dillard |
Iona |
.041 |
89 |
Copyright:
Mark Bashuk, 2011
E-Mail: bashukma "at
symbol" gmail "dot" com
Twitter: @tbbBaseball