2013 Season K-State Individual Player Per 100 Ratings

[kso_FAN]

Notable:

The return of McOrebs.

5 Oboard game and back to back 9 RB games. Plus a really efficient offensive game, 18 PTs with an offensive rating of 148.

Rod is shooting .429 in Big 12 games, back to where we expected after he struggled in the OOC (only .250)...

The 2 spot.

I've given my share of critique to the 2 spot, but back to back solid games, and really decent the last 4.

Last 4 games:
Tay 12-24 FG, 7-12 3PT, 31 points.
Will 15-28 FG, 8-14 3PT, 41 points.

If those 2 can combine to get 18 PPG on a regular basis and 4-7 from 3, that does a lot for this offense and Rod. Tay has quietly raised his 3PT% up to .417 (.500 in Big 12 play!), tying Shane for the best on the team on the season, which leads us to...

Slumping Shane:

5-23 overall the last 3 games. 1-9 from 3 the last 2. We knew he'd have some down shooting eventually, hopefully he can stop the slide. However he has been flying up the per100s assists (4 in each of the last 3 games) plus has maintained solid dboarding, so he's still doing plenty to help this team.

Gip it inside:

The Cats have made an effort to get Gip involved and he's had double digit scoring games 2 of the last 3. More importantly he's been able to stay on the floor while avoiding foul trouble. He's our 2nd most efficient scorer in Big 12 play to Rod, and remember he only played 9 minutes in Ames...

[Powercat Posse]

Also nice to see Angel hit 3 of 6 from 3pt last night. Bringing his total up to 8 for 36 (22.2) in conf play.  Hope this can get him going to go along with the 4 other players shooting 38% or better from 3 -- 
Tay 50.0%
Rod 42.9%
Shane 39.5%
Will 38.2%

Of the 11 guys we play, 9 are at 50% or better in conf games (Nino barely missing at 48.3)



I was pretty critical of the ORs we were getting.   38 ORs in our last 3 games and we now have more ORs than our opp (90-87). Much better and a great sign that we had 9 guys get into the stat sheet with an OR

[SleepFighter]

We are 2-4 when our OR% <= 30%.  And one of those two wins was our second worst offensive performance of the year. 

The correlations to OE and DE for both of our rebounding stats are much stronger than the TO stats.

While TO% is what we are best at, it isn't as important to this team's statistical efficiency or plain old wins and losses as rebounding.

[kso_FAN]

We are 2-4 when our OR% <= 30%.  And one of those two wins was our second worst offensive performance of the year. 

The correlations to OE and DE for both of our rebounding stats are much stronger than the TO stats.

While TO% is what we are best at, it isn't as important to this team's statistical efficiency or plain old wins and losses as rebounding.

Good point.

kenpom had a somewhat interesting blog today about being "good" at rebounding. http://kenpom.com/blog/index.php/weblog/entry/when_rebounding_needs_no_adjective

When rebounding needs no adjective
by Ken Pomeroy on Wednesday, February 6, 2013


I always wonder why analysts get away with saying a team is good at “rebounding”, thereby conflating both offensive and defensive aspects to the skill. Nobody says a team is good at “turnovers” or “shooting” and means that to say a team is good at those things both offensively and defensively.

Before you send the e-mail, I understand why rebounding is referred to differently. It’s essentially the same act whether it occurs after a team’s own shot or its opponent’s. And rebounds were not differentiated statistically until about 1991 so generations before that had no way to distinguish between the offensive and defensive versions. Some of those traditions linger today and I get it. Still, rebounding stats were modernized a few years before the internet happened, yet people referring to rebounding margin in a broadcast are held in higher regard than those who do research using printed encyclopedias.

Things are coming around, though. The Big Ten Network’s Dave Revsine is the honorary chair of the Foundation for Rebounding Percentage Awareness and takes great pain during each Minnesota broadcast to inform viewers about the Gophers’ offensive rebounding prowess and their puzzling weakness on the defensive glass. There are many others like him, both on the national networks and calling games locally. (These aren’t the only ones, but shout-outs are in order to South Carolina’s Andy Demetra and BYU’s Greg Wrubell for advancing the cause.)

Minnesota’s case might seem unusual, but it’s not as rare as you might think. The top ten teams in offensive rebounding percentage last season had the following ranks in defensive rebounding percentage: 34, 215, 117, 64, 219, 76, 78, 130, 83, and 25. As David Hess pointed out last season, the correlation in the D-I universe between a team’s offensive and defensive rebounding is surprisingly weak. I’ve plotted the last five seasons of team-level data below.



(My executive summary to why rebounding margin is evil comes down to two things: It combines only loosely-related skills, and field goal percentage skews the raw rebounding figures that go into it.)

That’s not to say there’s no relationship between the two skills at all, though. A very good offensive rebounding team is more likely than not to be above average at defensive defensive rebounding. But, it’s rare to be great at both. Of the 100 best offensive rebounding seasons over the past five years, just nine also had one of the top 100 defensive rebounding seasons.

Colorado State leads the nation in rebound margin this season, and I suppose it’s fair to say they are a great rebounding team. The only reason I know they lead in rebounding margin is because it’s mentioned on nearly every one of their broadcasts. It makes sense, because they currently reside in the top three in the country in both offensive (42.1%, third) and defensive rebounding percentage (77.7%, first).

It’s equally interesting that CSU is doing this without a lot of big people. Their effective height ranks 268th. Yes, they have Colton Iverson (6-10, 261 - thanks for the precise weight measurements, CSU), who is indeed a large human being, but the nominees for best supporting role in a rebounding juggernaut go to 6-5 Pierce Hornung, 6-6 Greg Smith, and 6-4 Daniel Bejarano. These guys are front-line players, giving away inches in almost every game they play. Larry Eustachy isn’t really doing anything gimmicky - his guards are not involved in rebounding at all. Three guys on the floor, two of them undersized, are responsible for almost all of the rebounds on both ends.

Since there are many teams in the Mountain West that aren’t interested in or good at offensive rebounding, I think it’s a safe bet that the Rams will finish with the best defensive rebounding percentage in the nation. Their offensive rebounding may slip a little, but since they’ve grabbed about 39% of available offensive boards in conference play, maybe not by much. Still, what they’re doing is rare. Only one team has finished top five on both sides of the glass in the past decade (2006 Texas, who ranked fifth in both).

So yeah, just saying Colorado State is a great rebounding team is accurate and by using rebounding margin, you’ll get to that conclusion. But I’d still say it waters down the enormity of their accomplishment this season. It’s extremely rare to simultaneously dominate the offensive and defensive glass and it’s a feat that can’t be appreciated by viewing rebounding as a single entity.

[Powercat Posse]

Good guard play ---
Angel ave 11.6 in his last 7 gms. Made 20 of last 21 from FT line
Will 68.3 eFG%, 8.8 pts, 9-16 3pt last 5 gms
Tay 62.9 eFG%, 8.2 Pts, 9-16 3pt last 5 gms


And Big Gip -- 12.8 Pts, 21-34 Fg, 5.8 reb last 4 gms and making 74% FT in conf play

[kso_FAN]

Now 4 players scoring at 22+ points per 100 in Big 12 play making it extremely tough to guard us. Plus Tay continues to improve and has become our best 3PT shooter. Nice balanced and efficient offense.

[kso_FAN]

I decided to add a little context to per 100 possession ratings, so I compiled per 100 stats for the categories going back 10 seasons to 2003. To qualify, players had to play at least 1/3 of the available minutes.

[Cire]

Awesome

[sys]

those charts are calling weber a rough ridin' Fake Sugar Dick (WARNING, NOT THE REAL SUGAR DICK!) for only getting jhr 14.6 minutes/game.  also it's great to see that 12-13 art is the greatest assist king of all time.

[8manpick]

those charts are calling weber a rough ridin' Fake Sugar Dick (WARNING, NOT THE REAL SUGAR DICK!) for only getting jhr 14.6 minutes/game.  also it's great to see that 12-13 art is the greatest assist king of all time.

#TeamJO

[yosh]

those charts are calling weber a rough ridin' respect for only getting jhr 14.6 minutes/game.  also it's great to see that 12-13 art is the greatest assist king of all time.

yeah.  It's ridiculously glaring based on those numbers. 

[yosh]

Fan, could we see a perspective on least turnover per 100 rather than most?  maybe fouls too, but definitely interested in turnovers.  seems more relevent to the current team.  Perhaps that's too difficult...     TIA

[The Tonya Harding of Twitter Users Creep]

I knew Beas was good at putting the ball in the hoop but damn, that's a ridiculous outlier.

[SwiftCat]

I knew Beas was good at putting the ball in the hoop but damn, that's a ridiculous outlier.

Yeah. Wow. His O and D board numbers are nuts too.

Season   GP   MPG   PPG   FG%   3FG%   FT%   APG   RPG   BPG   SPG
2007-08   33   31.5   26.2   53.2   37.9   77.4   1.2   12.4   1.6   1.3

[mcmwcat]

something is wrong with Angel's per 100 turnover #s

[kso_FAN]

[kso_FAN]

Fan, could we see a perspective on least turnover per 100 rather than most?  maybe fouls too, but definitely interested in turnovers.  seems more relevent to the current team.  Perhaps that's too difficult...     TIA

Not difficult. I debated which way to go for TOs and fouls. Here's both of those with the least.

[MakeItRain]

something is wrong with Angel's per 100 turnover #s

I'm guessing the year is tagged wrong and that was his number in '11 not '12.

[yosh]

Thank _Fan.

looks like even more pro-JO data.

[kso_FAN]

A month ago a made a 2012 to 2013 season comparison chart for the per 100 numbers, here is the updated version. Sorted by best improvement differential per stat.

[kso_FAN]

Big 12 games only; 2012 to 2013 comparison chart:

[SwiftCat]

Shane's improvement this year is probably the most drastic I've seen from 1 year to the next.

[mcmwcat]

something is wrong with Angel's per 100 turnover #s

I'm guessing the year is tagged wrong and that was his number in '11 not '12.

confirmed.  thanks!

[kso_FAN]

Shane's improvement this year is probably the most drastic I've seen from 1 year to the next.

I've got yearly per 100 possession charts for each team going back to 03 (sorted a bit different). At some point I'll try to format them and put them up here. Its is a different way to look at each team, and then you can look year by year and see improvements, etc.

[kso_FAN]

something is wrong with Angel's per 100 turnover #s

I'm guessing the year is tagged wrong and that was his number in '11 not '12.

confirmed.  thanks!

2011-12 is listed as "12" beside the player, so 12 is last year, 13 is this year, etc. This year's players/stats were not included yet.