Sunday, July 5, 2009

Keeper Rosters and One Team's Thought Process

So, this won't be as amusing as my take on the Iranian elections, but the NBA free agency period makes for some interesting dynamics on your keeper decisions. And just for reference, here are the final rosters from last season.

European Sellouts O.N. Thugs Sparty Rules
O.J. Mayo Deron Williams Chris Paul
LeBron James Brandon Roy Richard Hamilton
Nate Robinson Ben Gordon Hedo Turkoglu
Shaquille O'Neal Ron Artest Boris Diaw
Rashard Lewis Carlos Boozer Troy Murphy
Jose Calderon David West Andrea Bargnani
Gerald Wallace LaMarcus Aldridge Chauncey Billups
Marc Gasol Antonio McDyess Grant Hill
Manu Ginobili Brook Lopez Rasheed Wallace
Tracy McGrady Tyrus Thomas Brad Miller
Raymond Felton Mario Chalmers Matt Barnes
Matt Bonner Russell Westbrook Marcus Camby
Luke Ridnour Monta Ellis Marvin Williams
Andrew Bynum Jermaine O'Neal Samuel Dalembert

IAmJabrone Westy's Ballers Chowtime
Derrick Rose Jarrett Jack Tony Parker
Joe Johnson Andre Iguodala Danny Granger
Al Horford Devin Harris Kelenna Azubuike
David Lee Paul Pierce Pau Gasol
Anthony Randolph Andres Nocioni Chris Andersen
Carmelo Anthony Caron Butler Dirk Nowitzki
Josh Smith Al Jefferson Vince Carter
Dwyane Wade Mike Miller Mike Bibby
Charlie Villanueva Steve Blake Zydrunas Ilgauskas
Jason Thompson Nene Hilario Jamal Crawford
Ronny Turiaf Luis Scola Ronnie Brewer
Al Thornton Kevin Garnett Chris Kaman
Gilbert Arenas Tyson Chandler Thaddeus Young
Michael Redd Luol Deng Jameer Nelson

Dribbling Balls Floor Burns Milwaukee Bricks
Jason Kidd Leandro Barbosa Baron Davis
Kobe Bryant Kevin Martin Eric Gordon
Rafer Alston Lamar Odom J.R. Smith
Mickael Pietrus Shawn Marion James Posey
Jeff Green Tayshaun Prince Luc Mbah a Moute
John Salmons Kendrick Perkins Michael Beasley
Dwight Howard Paul Millsap Mehmet Okur
Tim Duncan Stephen Jackson Emeka Okafor
Rudy Fernandez Mo Williams Andris Biedrins
Corey Maggette Joakim Noah Jason Terry
Andrei Kirilenko Marquis Daniels Jason Richardson
Derek Fisher Richard Jefferson Ramon Sessions
Greg Oden Rodney Stuckey Al Harrington
Mike James Peja Stojakovic Elton Brand

Love Timberwolves Phatsnapper
Andre Miller Allen Iverson
Kevin Durant Randy Foye
DeShawn Stevenson Steve Nash
Linas Kleiza Antawn Jamison
Chris Bosh Amar'e Stoudemire
Kevin Love Wilson Chandler
Yao Ming Andrew Bogut
Zach Randolph Spencer Hawes
Josh Howard Kenyon Martin
Rajon Rondo Drew Gooden
Anthony Parker Ray Allen
Mike Conley T.J. Ford
Rudy Gay Mike Dunleavy
Cuttino Mobley Francisco Garcia


Lots of interesting choices, just based on the rosters. For example, there's a good chance that of Michael Redd, Gilbert Arenas, and Charlie Villaneuva, two of the three will be available. But there are also interesting changes in the dynamics, based on how the players' situations have changed (or not changed) in real life.

Obviously, injuries to people like Yao make for a tough situation. Do you just drop him, or do you hold on to him for the entire year? But an interesting thing comes up with you have free agents change locations. For example, we can start with Vinsanity going from Jersey to Orlando. If I had to guess, his numbers will probably stay roughly the same. And the void he leaves in Jersey probably means that Devin Harris gets a couple more shots, and that Brook Lopez gets more shots. But if you look to Orlando, this also means that Hedo Turkoglu (aka MJT, or the Michael Jordan of Turkey) is going somewhere else. If he had gone to Portland, the Blazers probably would have had a better team. However, there's a good chance that the numbers for Turkoglu, Brandon Roy, and LaMarcus Aldrige all decrease. That would have been a decidedly bad thing for the O.N. Thugs. Happily, it appears that MJT's taking his act up north to the Raptors... where this probably doesn't affect anyone a whole lot, and may even get Chris Bosh a couple more layups.

In any case, the O.N. Thugs have choices. We're keeping 8 out of 14. Here's how things look:

Must-Keep (6): Deron Williams, Brandon Roy, Carlos Boozer, David West, LaMarcus Aldridge, Brook Lopez.

Basically, there are a few obvious choices. D-Will and Roy are stone cold locks. Boozer was hurt, but is a 20 and 10 guy. David West is a 20 and 9 guy, who makes FT's. Aldrige comes in at 18 and 8. And Brook Lopez's 13, 8, and 2 blocks (and efficient scoring) becomes a must keep because of the scarcity of quality at C, even if Vince stays in Jersey. And truth be told, I was committed to Lopez, when I dropped Tyson Chandler last season to make a run at the championship.

Looking at this roster, it looks like there will be good scoring (at and efficient rate), very good rebounding, and slightly above average shot blocking and steals. D-Will can make up ground on assists, and only Lopez turns the ball over too much. However, the outside shooting is so-so. D-Will and Roy are OK from 3, but none of the bigs really shoot from 3. So who will round things out?

Probably Set Free (4): Antonio McDyess, Jermaine O'Neal, Mario Chalmers, Ron Artest

And as you look down the roster, you see two bigs that you can't keep: McDyess (age, uncertain where he'll play), and Jermaine O'Neal (showed some glimpses, but age has gotten to him, as well). Mario Chalmers would help with the STL and 3PM, but at 10 points and 5 assists (D-Wade has the ball too much), you just can't go down that road with a keeper. Same for Artest, since he has gotten a little old, and you have no idea where he'll fit w/ the Lakers. So who's left?

Question Marks (4, keep 2): Ben Gordon, Tyrus Thomas, Monta Ellis, Russell Westbrook

Gordon puts up 20 a game, makes his FT's, and makes a lot of 3's. He would definitely keep the O.N. Thugs competitive in 3PM. But, he's also moving to a Pistons team that already has Stuckey (who needs the ball in his hands), and Rip Hamilton (who needs a lot of shots). Not sure what to think about that lineup.

Tyrus Thomas really came into his own toward the end of the season. Since February, he was about 13.5 PTS, 7.5 REB, 2.2 BLK, 1.2 STL, and was reasonably efficient from the floor (47.1%/77.5%). He should be improving, and getting a couple more shots with Gordon moving on. But where he really adds value is with the hustle stats. If he's getting the 31 minutes per game that he got toward the end of last season, you almost have to keep him.

Monta Ellis is coming off injury, but did put up 19 per game and was good from the line, though his shooting was a little off from the previous year (down to 45%, from 53%). You also saw some struggles for him at the point, and his AST numbers actually went down, despite the move to point. Nellie Ball runs fast, but that offense goes through Captain Jack... You'd forgive this if he was good in another category, but he doesn't shoot 3's, and his peripheral stats are mediocre. But he's young, and ultra talented, just like

Russell Westbrook. The comparison is to a young D-Wade. He was about 15 PTS, 5.5 AST, 5 REB, and 1.2 STL. He makes his FT's (81.5%), but is really bad from the floor (39.8%), and doens't shoot 3's often or well, but he can score in bunches (5 games over 30 points). The most important thing for Westbrook was that the Thunder didn't pick a PG in the draft. This means that Westbrook will be running the show for these guys.

At this point, I'm probably going to keep Tyrus Thomas, since he'd really stabilize the STL and BLK numbers. Gordon's the safe choice, but even with him, I was bad at 3PM last year. Westbrook's got the most upside, since he gets all sorts of hustle numbers. But Ellis has the potential to be a 25 point guy, as well... I think that part of it depends on where I end up drafting (side note - I've got a plan for the lottery, just haven't had a chance to post the idea).

In any case, the rosters are posted here. We'll get the lottery taken care of in a couple weeks, and I'll assign keepers about a week before the draft (which will be about a week before the start of the season).

-Chairman (aka O.N. Thugs)

Sunday, June 21, 2009

Eerie Symmetry

This has been a rough season for both my UPL Team and my favorite team, the Chicago White Sox, and it strikes me that its just about do-or-die time to make some trades for both teams but the question is the same - Contenders or Rebuilders? Buying or Selling? Neither I or the Sox have figured it out yet. Ok, maybe Kenny Williams already made up his mind, but I haven't yet.

While technical difficulties have plagued me this spring - an internet that would work slow one week, fine the next, but not at all the following 10 days led to an angry call to Comcast and cancelled internet service - what's really killed me were the mistakes I made in the draft. In that draft, I overdid it on starting pitchers but failed to pick up closers, figuring that I could trade off some of the starting arms for the saves I'd need once they got rolling. And then the season started and my starting pitching got murdered, just about every one of my guys got roughed up and that plan ceased to be viable.

So with my team's spot in the bottom 1/4 of the standings all but assured, the question comes up of what to do with this team in order to not be so far down in the standings next year. If nothing else, I think that the UPL's inaugural keeper league year will yield even more unique and interesting trade offers as time goes by. So I'll put out the question - are you buying or selling? Is this the year, or is it time to stock up and wait for the moment to get your 2010 champs ready?

Monday, June 8, 2009

Draft Order

I just realized that I haven't made an official ruling on the draft order for future seasons in our keeper leagues. We're still a ways off until the UPL Basketball draft, and I'll post a list of current rosters so that people can make their keeper decisions 1 week before the draft in October. But we need to figure out this drafting thing pretty quickly.

Some options:

a) reverse order of finish (i.e., last place picks first, 2nd to last place picks 2nd,..., first place picks last,)
b) order of finish (i.e., first place picks first, 2nd place picks 2nd,..., last place picks last)
c) winner picks first, followed by reverse order of finish (i.e., winner picks first, last place picks 2nd, 2nd to last place picks 3rd,..., 2nd place picks last).
d) random order chosen by Yahoo!
e) weighted lottery with high finishers getting better odds.
f) weighted lottery with low finishers getting better odds.

Please, comment on what plan you think we should go with. If we go the lottery route, we'll have to figure out a fair way to do things, in terms of what the odds should be, and how we actually run the lottery, but I've got an idea in mind. In any case, let's get some discussion going, and I'll make a formal announcement by the end of July for both baseball and basketball.

-Chairman (aka O.N. Thugs)

Friday, May 22, 2009

Correlation = Causation?

One thing that you hear all the time is that correlation does not equal causation. Basically, just because two things have outcomes that appear to be correlated doesn't mean that the underlying reasons for the outcomes are truly dependent. The lesson that you're supposed to take away from this is that just because you see a correlation, you shouldn't place too much weight on it, unless you can show causation.

So what the heck do you do when you have a very good conceptual argument for causation, but the correlation is nil?

A case study: 2008-09 O.N. Thugs, UPL Basketball.

If you think about the stats that we use (PTS, 3PM, FG%, FT%, AST, BLK, STL, REB, OREB, A/TO), you'd probably guess that 3PM and PTS would be correlated (though not necessarily in a super high way), and you'd figure that the accuracy stats would be correlated with PTS, and also that AST would be correlated with A/TO. But two categories should stand out: OREB and REB. Because each OREB is also a REB. So, if a player is a good offensive rebounder, then he'll likely be a good rebounder. in fact, it would be somewhat shocking if a team was very good at OREB, but bad at REB. Yet somehow, halfway through the season, I was something like 2nd in offensive rebounding (and had the highest rate by far), but was 9th in overall rebounding (with a rate that was about 7th). Eventually, things caught up a bit, and I finished 1st in OREB, and 4th in REB, but even that was a bit strange. So maybe it's reasonable to expect things to even out over time.

The current problem: 2009 O.N. Thugs, UPL Baseball.

If you think about the stats in baseball (R, HR, RBI, SB, OBP, SLG, W, L, SV, K, ERA, and WHIP), the ones that you'd figure to be the most correlated are HR with RBI and HR with R, since each HR you hit guarantees 1 R and 1 RBI. And you expect a little lesser correlation between HR and SLG. But take a look at this:

Team R HR RBI SB OBP SLG RBI/HR R/HR
'90 Reds 249 55 229 30 0.388 0.506 4.164 4.527
O.N. Thugs 256 47 253 43 0.397 0.471 5.383 5.447
IamJabrone 248 78 238 41 0.358 0.495 3.051 3.179
Westy's Sluggers 247 74 259 37 0.389 0.522 3.500 3.338
Black Sox 231 66 249 26 0.361 0.476 3.773 3.500
Cheeseheads 230 61 223 43 0.346 0.458 3.656 3.770
Muddy Mush Heads 239 51 195 54 0.360 0.444 3.824 4.686
IStillSuckCurveballs 234 58 244 14 0.382 0.489 4.207 4.034
Phatsnapper 189 54 219 23 0.346 0.456 4.056 3.500
TheJimmyDixLongballs 202 54 226 40 0.334 0.450 4.185 3.741
Benver Droncos 244 63 238 29 0.338 0.460 3.778 3.873
Hats for Bats 224 51 212 40 0.338 0.424 4.157 4.392

Somehow, I have managed to lead the league in R, and am a close 2nd in RBI. But I am dead last in HR. Compared to the Jabrones, I have 31 fewer HR, which means that I've managed to score 8 more R, despite giving away 31 R from my lack of HR. And historically, R:HR and RBI:HR ratios come in around 4 (just a quick glance suggests that 3.5 to 4.5 are reasonable values to expect. Note, the R:HR can be a lot further off, given the relatively less rare case of guys who score 90+ runs on only 10 or so HR (whereas someone like Adam Dunn, whose 100 RBI on 40 HR is about as low as you'd probably get). But overall, as you look at how UPL teams are put together, you see some stability in these ratios. And then you have the '09 O.N. Thugs, who are at about 5.4 to 1 for both R and RBI.

So what does this mean? I have no clue. Moving forward, you can either make the case that a) I'm due for a bunch of HR since my team is good, but just underachieving right now in power, or b) my team sucks and has been overachieving with everthing other than HR. I think that a) is more likely than b), although I'm definitely biased on this one.

I don't really know what to make of this right now, and will think about this more, but I definitely have had some interesting questions open up regarding how teams should be constructed, if you take a statistical look at the way the UPL is structured. Taking a look at some of these insights is interesting. For example, I'd bet that if you were to take a poll that asked fantasy players which of the 6 offensive categories would be the most useful in predicting fantasy success, you'd probably get HR as the overwhelming answer, with SB being the worst. However, my first look at the numbers suggests that if you were to use only one criteria in evaluating offense, you should look at RBI over anything else (though this is very preliminary, and restricted to historical UPL numbers).

-Chairman (aka O.N. Thugs)

Tuesday, May 5, 2009

Doomed to Repeat

Note, this was originally written on 4/21, but wasn't posted.

As I was looking through the discussion regarding the proposed Mauer/Lester/Dukes for Berkman/Holliday trade in the last post, I came across a fun little gem, addressed to me from Rup:

"NOT EVERYTHING in FANTASY. IS THREE YEAR HISTORICAL PROJECTIONS IF THAT WAS THE CASE YOU WOULD WIN THE LEAGUE EVERY YEAR. "

Now, what's funny, is that as much as I win, if you ignore the random use of punctuation/capitalization, and accept Rup's assertion that my strategy is based exclusively on 3-year historical projections, then you sort of have to accept that 3-year historical projections are are phenomenally accurate and consistent measure. This is particularly the case if you make the assertion that everyone else uses a different model for their analysis.

Let's look at order of finish in every season of the UPL, and we'll assign points like we do in Roto. N points for finishing first in a league of N teams, N-1 for finishing 2nd, ... and 1 point for finishing last.

Max Thugs Jabrone Westy 90 Reds Phat Cheese
2001 10.0 9.0 8.0 7.0 10.0 6.3 6.0
2002 10.0 10.0 9.0 8.0 5.0 6.3 5.0
2003 11.0 11.0 10.0 7.0 2.0 6.9 9.0
2004 14.0 14.0 10.0 12.0 7.0 8.8 8.0
2005 12.0 12.0 11.0 10.0 7.0 6.0 6.3
2006 11.0 9.0 8.0 10.0 7.0 11.0 5.0
2007 11.0 10.5 9.0 6.0 10.5 7.0 5.8
2008 12.0 11.0 12.0 4.0 8.0 5.0 3.0
Total 91.0 86.5 77.0 64.0 56.5 57.4 48.2
% Total 1.00 0.951 0.846 0.703 0.621 0.630 0.529
AVG 11.375 10.813 9.625 8.000 7.063 7.169 6.021
STDEV 1.302 1.646 1.408 2.563 2.705 1.892 1.857
Correl 1.000
0.904 0.555 0.471 -0.008 0.194 0.253

Here, we're looking at some results from some of the UPL regulars who have been there from the start (O.N. Thugs, Jabrones, Westy, '90 Reds, Cheeseheads), as well as Phatsnapper (Rup's franchise) who's a more recent addition. You'll note that for Cheeseheads and Phatsnapper, there are some strange results - in the years that they didn't play, I just used their historical average as that year's entry. Also, in 2002, I can't quite remember the order of finish, after me. I recall C-Lauff finishing 2nd, Westy in the upper half, and Greg about middle of the pack. So, those are guesses. In any case, you'll notice something. There are some high correlations between the franchises and the number of teams per season (the max score). This stat speaks to how consistently a team does. If you combine this information with the average score, then you get a nice picture of how consistent a team is, as well as how successful. Now, this was sort of bragging. I already knew how this was going to turn out, since the UPL Bill keeps track of a lot of this stuff for us.

And, one conclusion that you can make is that year-to-year in UPL Baseball, the optimization based on 3-year projections is a pretty solid strategy. Now that isn't quite what I do, but I'd guess that's a big chunk of my evaluation. But more interesting is what happens if you start to look at the correlations between the different teams.


Max Thugs Jabrone Westy 90 Reds Phat Cheese
Max 1 - - - - -
Thugs 0.904 1 - - - - -
Jabrone 0.555 0.613 1 - - - -
Westy 0.471 0.440 -0.237 1 - - -
90 Reds -0.008 -0.181 -0.199 -0.185 1 - -
Phat 0.194 -0.054 -0.557 0.649 -0.068 1 -
Cheese 0.253 0.442 -0.132 0.482 -0.473 0.234 1

If you have a correlation close to zero, that suggests that there is a very different strategy being employed. It's no surprise that the O.N. Thugs (me) have virtually no correlation with Phatsnapper (Rup). What's also interesting is how small the correlation between the O.N. Thugs and the '90 Reds (Greg). And in turn, the '90 Reds have a virtually no correlation with Phatsnapper. So, it's like there are three distinct strategies going on (or at least, three distinctly different sets of outcomes). Interestingly, the '90 Reds and Phatsnapper have very similar track records (though Greg's is over 8 seasons, and Rup's is over 4), each with a ring (2 for Greg).

We've classified the O.N. Thugs as basing value on recent historical performance. Now, if you were to classify the other strategies, I'd label each value something like this:

Phatsnapper - value based on youth and potential upside.
'90 Reds - value based on personal perception.

In any case, it appears that the Jabrones have similar results to the Thugs. Imitation. Flattery. Yada, yada. Westy has high correlations w/ both the Thugs and Phatsnapper. So maybe some hybrid of both strategies? I'm guessing that it's a blend of historical numbers and the upside of Minnesota players doing well. Sadly, that strategy doesn't work.

The closest thing that I can interpret from about Greg's strategy is that it's the opposite of the Cheeseheads. Of course, the Cheeseheads outcomes are based on finishing in the middle of the pack every year, so we can't really learn much about his strategy here. I'm not sure what the opposite of that is - maybe something like feast or famine? But that's more of an outcome, not necessarily a strategy. Basically, my best guess is that Greg's in his own little world, and when his perceptions (think Bret Boone and Paul LoDuca in 2001, not that I'm bitter about it or anything) are all on for a given year, then he does really well. And when his perceptions are off, he finishes in the bottom half of the league.

Obviously, we don't have a lot of historical data - 8 years worth isn't a ton, though if you break this down further, it may be of interest. As I think about it, maybe it's not order of finish, but total points in a given year that's more useful. And an interesting question may be looking at what stats teams value (or at least evaluate well), historically. I can already guess that the O.N. Thugs manage to do well in OBP, SLG, HR, and RBI, a little bit less so in R, and terrible in SB. And with regard to pitching, I can see the O.N. Thugs doing well in SV, W, K, and ERA, and so-so in L and WHIP...

In any case, I think that this idea of looking at the broad, macro level of the UPL is worth revisiting.

-Chairman (aka O.N. Thugs)