LIST OF WWE PERSONNEL?!?
Penn State just wrapped up an incredible, high-paced game of the century (/s) in Evanston, beating Northwestern 59-32 (yikes!) Also, Iowa plays Michigan State tonight.
This is my first diary, and the statistical analysis isn't normalized as much as I'd like (just gathering the data was tedious enough). Ironically, I put this together Monday, only to see Brian's DOME post on Tuesday. He graciously upped my MGoPoints so I could post this.
Be kind - constructive criticism is much apprecited.
Now that we're facing the Regional Semifinals/Finals, I thought I'd try to quantify the effect of the venue on scoring totals. For this exercise, I complied a list of all Sweet Sixteen teams over the past 5 NCAA Tournaments (2008 - 2012). I also included this year's teams. I looked at the regular season scoring avererags for the individual teams*, the individual team scoring average for the Tournament thus far (including all games not played at football stadium/dome sites), and then the average scoring for those teams during the Regional Semifinals/Finals and Final Four games.
*Taken from the Wednesday prior to NCAA Tournament games
LIMITATIONS: Obviously, the data is going to be affected by the quality of opponents and individual matchups. It follows that the Sweet Sixteen teams typicaly score more during the first weekend, as opposition isn't as elite as the teams they may face the rest of the tournament. My hope is including a larger sample size and including regular season averages helps mitigate that impact to some degree. The regular season scoring average is also the raw statistic, not adjusted for tempo-free. Last caveat is that overtime periods (especialy for tournamet games) may impact final numbers (there have been 18 OT games since 2008 - not all in the first weekend or involving Sweet Sixteen teams - vs. 160 total games for my sample size)
Before I get into that analysis, another interesting trend emerged. From comparing a team's regular season scoring average to the team's tournament (non-football site) average, it becomes possible to rank the Sweet Sixteen teams against their increase or departure from their regular season scoring average. In four of the past five seasons, among Sweet Sixteen teams, one of the top two teams that increase their scoring average in the tournament over their regular season average made the Final Four. Similarly intersting is that in four of the past five seasons, one of the bottom two teams who score LESS in the tournament than their regular season average also made the Final Four:
|YEAR||TEAM||SCORING DECREASE||TOURNEY PPG (1st Weekend)||REG SEASON PPG|
|2008||UCLA||1st / -13.5||60.5||74.0|
|2010||Duke||2nd / -7.5||70.5||78.0|
|2011||Kentucky||1st / -11.4||65.0||76.4|
|2012||Kansas||1st / -11.5||63.5||75.0|
|YEAR||TEAM||SCORING INCREASE||TOURNEY PPG (1st Weekend)||REG SEASON PPG|
|2008||UNC||1st / +21.8||110.5||88.7|
|2009||UConn||2nd / +20.2||97.5||77.3|
|2011||VCU||2nd / +9.5||81.0||71.5|
|2012||Kentucky||1st / +7.3||84.0||76.7|
This year, the teams with the biggest scoring increase are ohio state* (87.5 ppg tournament, 69.3 reg season) and FGCU (79.5 ppg tournament, 72.3 ppg reg season)
The teams with the biggest scoring decrease this year are Indiana (70.5 ppg tournament, 80.0 ppg reg season) and Oregon (62.5 ppg tournament / 71.7 ppg reg season)
* Personally, I do not capitalize ohio state or osu. Out of spite.
So, back to the overall point of this exercise. Do football stadiums/domes negatively affect scoring more than basketball arenas? Based on my research, no.
In the past five tournaments, there have been 11 basketball-arena sites hosting the second weekend of the tournament and 9 football-stadium sites.
- Overall, scoring is down: -8.1% the second weekend vs the first weekend; -8.4% from a team's regular-season scoring average.
- True basketball sites have a larger drop in scoring: -9.9% from tournament average, -10.5% from regular season average.
- Football stadiums see a drop of only 6.2% and 6.3%, respectively.
All Final Fours have been played in football stadiums over the past five tournaments. Scoring is down 15.0% from previous tournament performance and down 14.9% from regular season performance.
There were a few outlier games/teams/seasons which impact the analysis (full chart - ED-S: I put it as a Google Chart here). Breaking it down by venue shows further impact (also gives wise readers some insight to Vegas totals for the East Region at Lucas Oil):
|VENUE||VAR / TOURNEY PPG||VAR / REG SEASON PPG||YEAR|
|FORD FIELD||-15.74%||-10.73%||2009 FF, 2008 MW REG|
|LUCAS OIL||-14.81%||-15.40%||2013 MW REG, 2010 FF, 2009 MW REG|
|RELIANT STADIUM||-11.67%||-13.19%||2011 FF, 2010 S REG. 2008 S REG|
2011 SW REG, 2008 FF
|EDJONES DOME||-7.84%||-10.40%||2012 MW REG, 2010 MW REG|
|PHOENIX STADIUM||-4.11%||+4.77%||2009 W REG|
|GEORGIA DOME||+9.11%||+8.21%||2012 S REG|
(Cowboy Stadium has never hosted NCAA Regionals/Final Four)
In a post that seems to support the Infinite Monkey Theorem...
... I argued for optimism about our defense. This optimism was not that we would unexpectedly see stardom or even competence out of Ezeh or Cameron Gordon, but that we had plumbed the depths of bad defense with the current style of play (one cannot bleed out more than their total blood volume), we had see it's ghastly face, and it was, roughly, 35 points (somewhere in the mid thirties).
Given normal production from our offense (average: ~ 37), this suggested we'd be in every game. To quote myself:
The proof will be coming shortly - I will return to mgoboard to take my beating these next seven weeks if this prediction doesn't come true: no Big Ten offense will score more than 40 points on Michigan...
So far I am correct, although I was certain that I was going to be wrong in the 3rd quarter; MSU certainly could have scored more than 40, IMO.
That said, we move on to Iowa, where I feel somewhat safer with my prediction. Don't know if that means we'll produce near our average on offense, but you have to like proto-Denard's stat line (sans interception) against Iowa last year:
|Rushing||9 rushes||49 yards||1 TD|
|Passing||3 comp||4 att||30 yds|