Mistake by the Lake Sporting Times

for the Cleveland sports fan

Thursday, May 8, 2008

Cavaliers–Celtics Mediocre Preview Extravaganza (Or: There's Nothing Wrong with a Moral Victory)

by Alex

A day late and a dollar short.

When the Cavs are on offense

  • Shooting
          eFG%  Rank
    Us .480 25
    Them .457 2
    In the most important of the Four Factors, the Celtics absolutely dominate the Cavs. That's bad. My advice: start shooting lots of threes. Why? I love threes. Also, it's better than a Ben Wallace jump-hook.

  • Turnovers
          TO-r  Rank
    Us .156 15
    Them .177 1
    This is getting ugly. It seems even more lopsided than the match-up between the Cavs and Spurs last year.

  • Offensive rebounding
         OReb%  Rank
    Us .304 3
    Them .256 8
    Comparative advantage alert! Offensive rebounding has been the Cavaliers' greatest non-LeBron strength for years now. I think they do a pretty good job of exploiting it. The problem is the Celtics are no slouches on the defensive boards.

  • Getting to the foul line
         FT/FG  Rank
    Us .220 20
    Them .253 23
    I suspect that Boston's high foul numbers are a side effect of their physical defense. They might not have such good defensive shooting efficiency numbers without fouling a lot. Anyway, this is the least important factor—and it's not like the Cavs are that great at drawing fouls. As a fan though, I'd love to see them drive the lane more than they did in Game 1, though.
In light of these numbers, the Cavaliers' struggles on Tuesday shouldn't have been to surprising. LeBron's performance was a bit of a shocker, but on the whole, the Cavaliers really shouldn't score much against Boston. What do you expect when the nineteenth-best offense (107.5 points per 100 possessions) faces the best defense (100.2 points per 100 possessions)? The key to victory lies elsewhere, I feel.

No doubt, scoring tons of points would lead to victory. Focusing on offense is probably the wrong strategy, though, since you'd be attacking your opponent's strength. Also we've seen that the Cavs' coaches don't particularly excel when it comes to offensive gameplans in the playoffs.

When the Cavs are on defense

  • Shooting
          eFG%  Rank
    Us .494 11
    Them .522 4
    Here we go again, right?

  • Turnovers
          TO-r  Rank
    Us .149 20
    Them .170 29
    Well, maybe not quite. Like we saw in Game 1, turnovers are where they're vulnerable—especially their big men besides Kevin Garnett. Kendrick Perkins is a sieve.

  • Offensive rebounding
         OReb%  Rank
    Us .241 2
    Them .266 18
    If the Cavs start allowing second chances, they're in trouble. The Celtics have a good but not great offense and offensive rebounds won't help the Cavs.

  • Getting to the foul line
         FT/FG  Rank
    Us .240 18
    Them .267 3
    The only two people who I think the team can't afford to have in foul trouble are LeBron and Zyrdrunas Ilgauskas. LeBron for obvious reasons and Z for his mid-range shooting and offensive rebounding. For everyone else, there's a passable backup on the bench. I'm not worried about the disparity here.
The Celtics are weaker on offense than they are on defense, as they're "only" ninth in the league in offensive efficiency, at 112.1 points per 100 possessions. The Cavs' seeming game plan from the series opener makes sense. To upset Boston, they'll have to lock down on defense. Unfortunately, their season-long numbers suggest just a middling team defense (twelfth in the N.B.A., 108.0 points per 100 possessions).

As I've said before in this article, the Cavs need to "attack" the Celtics offense for a chance to win. Their defense is too good; it'd be unrealistic to expect the Cavs to break out against it. A low-scoring game would benefit the Cavs more than the Celtics, too. The fewer number of total points scored, the smaller the "diff"—if you will—on average. And the smaller the difference in scores, the more likely luck will factor into the final outcome of the game. In a low-scoring game, the Cavs are a good bet to be behind by four points or less with a couple minutes to go. That's certainly better than being down eight in the same situation, because the pace was faster. And yes, that's what I'm already reverting to: luck. The Cavs need to get lucky. The Celtics have been light-years better this season. Although, as we all know, all things are possible with LeBron.

Posted at 5:00 PM1 comments

Thursday, May 1, 2008

Even You, Dorn

by Alex

I've finally found a way to combine two of my great loves, sabermetrics and Major League. (Surprisingly, this is only the third Major League-related post in this blog's history.) Using a script I found online and Christopher Shea's Win Expectancy Finder, I set out to determine who deserves the credit and who the blame in the Indians' win in their memorable one-game playoff against the Yankees, way back in 1989. In the end, I wanted to create something resembling the graphics available for each game on Fan Graphs (you may be familiar with these same charts from wrap-ups at Let's Go Tribe).

The main problem, I discovered, is that the movie only depicts snippets from that fateful contest. I was able to reconstruct the seventh and ninth innings (almost) completely. And what I couldn't deduce I simply removed from the analysis. For example, in the top of the ninth, Harry Doyle says that Eddie Harris has given up eight hits, though we've only been shown one of them. I won't worry about when those other hits occurred, since they didn't affect the score of the game. Since the online Win Expectancy Finder is based actual results from real games, I set the time period for it to check to the ten-year window centered on the release of the film, 1984–1994, for really no good reason at all. I thought it would be both a decently-sized sample and close enough to the run environment of the late eighties.

The film breezes through the first six innings, without any real highlights. But we do know that it's still 0–0 in the seventh. Therefore, I can calculate Harris's win probability added (WPA) for each of those innings, since they each started the same way they ended. I simply subtract the Indians' win expectancy at the beginning from their win expectancy at the end of that half-inning.
  • Top of the 1st: .592 - .541 = .051
  • Top of the 2nd: .581 - .531 = .050
  • Top of the 3rd: .581 - .531 = .050
  • Top of the 4th: .587 - .519 = .068
  • Top of the 5th: .590 - .521 = .069
  • Top of the 6th: .592 - .518 = .074
That makes for a sub-total of .362 wins heading into the seventh. Not too bad. Unfortunately, that's where Harris ran into trouble. Let's take it event-by-event. I'll list what happened followed by the Indians' updated win expectancy.

Top of the 7th
  • start of inning: .509
  • [not shown]
  • 2 outs, runner on 2nd: .527
  • Harris gives up homer: .207
  • assuming Harris gets the next man out, end of inning: .218
For the inning, Harris cost the team .291 wins, bringing his current in-game total to .071. Don't worry just yet though, because the Tribe is coming to bat in the bottom of the inning, trailing 0–2.

Bottom 7th
  • start of inning: .218
  • Willie Mays Hayes pops out: .187
  • Jake Taylor grounds out: .148
  • Roger Dorn singles to left: .182
  • Pedro Cerrano homers: .551
  • assuming the next guy gets out, end of inning: .517
Cerrano's home run, besides showing the Indians' superior will to win, really turned the game around. In fact, it was a .369-win swing and tied the game at two.

At this point, we skip past the eighth inning—where no runs are scored—and head straight for the ninth. I'll include the eighth in my analysis as I did with the first six innings, to evaluate Eddie Harris.
  • Top of the 8th: .632 - .517 = .115
Harris's WPA now stands at .186. Let's get to the good stuff.

Top of the 9th
  • start of inning: .526
  • [not shown]
  • 2 outs, bases empty: .631
  • Harris gives up single: .609
  • Harris gives up double, runners on 2nd and 3rd: .489
  • Harris walks batter, bases loaded: .434
  • Vaughn replaces Harris, strikes out Haywood, end of inning: .654
Had Harris simply gotten that third out, he would've gone nine innings and given up two runs, ending up with a WPA of .314. Instead, he nearly blows the game and exits having added only .094 wins for the Indians. Vaughn gains .220 with only three fastballs—now that's clutch. In the words of Harry Doyle, "Can you believe this, Monty?"

Bottom of the 9th
  • start of inning: .654
  • [not shown]
  • 2 outs, bases empty: .568
  • Hayes hits infield single: .559
  • Hayes steals second: .593
  • Taylor bunts, Hayes scores: 1
"The Indians win it! The Indians win it! Oh my God! The Indians win it!" Sorry, but that line actually gives me goose bumps every time I watch the movie.

You know what?



Getting back to business, Taylor's bunt was the clutchiest of the Indians' many clutch plays that night, netting .407 wins, and besting Cerrano's home run by four-hundredths of a win. Jumping backwards for a moment, you many have noticed something fishy with the numbers in this inning. The Indians' win expectancy goes down after Hayes's single. Why would this happen? You'd expect that a runner on first with two outs is better than bases empty with two outs. Remember that these numbers aren't based off a model, but real-life. So, from 1984 to 1994, home teams that had the bases empty with two outs in the ninth of a tie game went on to win 56.8% of the time; home teams that had a man on first with two outs in the ninth of a tie game went on to win 55.9%. Given a larger sample size of games, I'm sure the numbers would move closer to what we expect.

I'm not so sure I want to assign all the credit from the final play to Taylor, though. It wasn't necessarily a sure thing that Hayes would make it from second base on a bunt. Frankly, I don't think I've ever seen it happen anyplace else. If Hayes had gotten a bad jump, he could've been held at third. Then the Indians would've had men on the corners with two outs—better than before, but not a sure win. So, I reran the numbers.

Alternative Analysis of the Last Play
  • Taylor bunt singles, Hayes to 3rd: .686
  • Hayes "steals" home: 1
Now, treating the play like a bunt and a steal, the credit is shared more evenly. Taylor gets .093 for the bunt and Hayes .314 for scoring. And, once again, Cerrano's blast reigns supreme among gutsy, clutchified plays.

You knew I couldn't resist this:

The Indians-Yankees win expectancy

Based on all my number-crunching, the true heroes of this game were (in no particular order): Jake Taylor, Pedro Cerrano, Willie Mays Hayes, and Rick Vaughn. "What about Eddie Harris," you may be asking. "He gave up two earned runs in 8 2/3 innings!" The problem is that his WPA comes out to a measly .093. And why's that? Because he left a tie game in the ninth with the bases loaded! And WPA doesn't even account for him loading the bases in front of the best hitter in the league, the Triple Crown winner, no less.

I know this has all been in good fun, but if you'll allow me to be philosophical for a moment: fans will remember Taylor's courageous bunt and Vaughn's electric fastball and maybe even Hayes's timely base-running, but will they pay proper respects to Cerrano's power? I can't answer that for sure. If you look at the numbers though, you see that Cerrano's home run was (arguably) the most consequential play of the day for the Tribe. Once again, we see stats glorify sluggers who only sit back and swing for the fences and condemn the little guys, the run manufacturers, who seize every opportunity for gaminess and hustle to win. The numbers may be right and they may not, but it'd be impossible to deny that this team won—not just this one game, but throughout the entire season—as a result of their determination, grit, heart, desire, and clubhouse chemistry. Score one for the purists.

Posted at 12:00 AM17 comments

Sunday, April 27, 2008

Alex and Corey Blog the 2008 NFL Draft: Day 2

by Corey

Last updated: 6:10 PM

10:22 AM

Corey says: I know the Day 2 festivities just started a minute ago, but I wanted to make sure I didn't miss any of that potential high-excitement Phil Savage wizardry, so I pulled an all-nighter camped out in front of the ol' TV. I would have live-blogged it for you fellow draft junkies out there, but the hypnotic spell of ESPN2 at 3 in the morning put me in a zen-like trance that kept me from my bloggerly duties.

At any rate, Round 3 just got under way, and my heart is pounding. After all, there are only 55 more picks to go until the Browns are on the clock. That means we only have to wait, like, five or six more hours! The only thing I'm worried about at this point is having to miss both the Cavs and Indians games (at 1:00 this afternoon) so as to ensure I don't miss any Browns action.

Here are Corey's Best Available as of this moment, for those of you keeping track:
  1. Ahtyba Rubin, DT, Iowa State
  2. Trez Doolittle, DT, Auburn
  3. DeMario Bobo, DB, Mississippi State
  4. De'Cody Fagg, WR, Florida State
  5. Maurice Purify, WR, Nebraska

2:30 PM

Alex says: What's with the Browns' hotline to the Cowboys? With two more trades today, they have swapped four times during the past two drafts. This time the Browns netted Beau Bell from UNLV and Martin Rucker from Missouri. I suppose I'll take these one at a time.

First, Bell. The Browns gave up their fourth- and fifth-round picks (122nd and 155th overall) for the Cowboys' fourth-rounder, number 104. I'm always linking to these draft value charts and they're not the greatest tool, but it'll make for a good back-of-the-envelope snap analysis.

The Browns gave up 29.4 points to get 86. That's much better than I expected. When I first heard the trade, I thought I'd end up ripping the team for wasting valuable lower-round picks, especially when they had so few to begin with. I was wrong. Though that last point is pretty important. Conventional wisdom says the Browns should be looking to add more draft picks, rather than shedding them. They run the risk of being pretty thin come training camp, particularly on special teams, unless they feel extra confident about this year's group of non-drafted free agents. And that I doubt. Otherwise, Beau Bell is a pretty good name though—it's alliterative, "Beau" is always a solid first name, and I'm sure people will make plenty of puns on "Bell".

To get Rucker, Phil Savage traded the Browns' 2009 third-round pick for another Dallas pick, at 111. Some kind of numerical analysis of this one is much more difficult. I'm not sure what the value today of a 2009 draft pick is. A future draft picks contributes nothing to the success of a team this season, unlike a player on the roster. It's just sitting there, in reserve, waiting to contribute value in the future. Thus that's why the Browns had to give up a third-rounder to get a fourth-rounder. Hopefully, a year of Rucker is more valuable than the difference in value in the picks. As for Rucker the player, I got nothing. His dad's in the Missouri House of Representatives. Woo!

3:49 PM

Corey says: This draft is flying by. I give the Browns an A++ for their selections so far. Also, Phil Savage pulled out all the stops and willed the Cavaliers to victory over the irrelevant Washington Wizards. Biggest draft coup ever!

6:10 PM

Corey says: Well, I gotta say, I never thought it would happen. Even the ghost of Babatunde Oshinowo is awe-stricken at the prognosticating powers of the Mistake by the Lake Sporting Times: the Browns drafted Iowa State DT Ahtyba Rubin. It's all in the family now.

Of course, the rich only got richer, as the Browns added DE Alex Hall (from some school called St. Augustine) in the seventh round. Remembering that they traded for Packers DE Corey Williams in the offseason, the scene is now set for the Browns to field the Mistake by the Lake Sporting Times Dream D-Line (MbtLSTDD-L): Alex and Corey at the end positions, with Rubin in the middle.

Overall, I give the Browns' 2008 draft a grade of A+++++. With not a single first-, second-, or third-round pick, they still managed to grab five future Hall of Famers, including the guy atop our cool names leaderboard. That makes the whole 157 hours of sitting on a sofa in a darkened room totally worth it!

Posted at 6:10 PM2 comments

Saturday, April 26, 2008

Alex and Corey Blog the 2008 NFL Draft: Day 1

by Alex

Last updated: 11:07 PM

10:15 AM

Alex says: It's time once again for our annual exercise in self-flagellation, as Corey and I watch all thirty eight hours of the NFL Draft! This year's Day 1 should be especially exciting as the Browns don't have a single pick in the first three rounds. Woo!

As always, our primary concern is funny names. Evidenced by the laughably poor draft record of the NFL as a whole, teams clearly don't know anything about scouting talent, so they might as well go with a good name. It couldn't hurt, right? So may I present the Official Mistake by the Lake Sporting Times 2008 NFL Draft Prospect Good Names List (OMbtLST2NDPGNL):
  • QB – Luke Drone, Illinois State; T.C. Ostrander, Stanford; Taylor Tharp, Boise State
  • RB – Yvenson Bernard, Oregon; Jehuu Caulcrick, Michigan State; Yonus Davis, San Jose State; Rolly Lumbala, Idaho; Kregg Lumpkin, Georgia
  • WR – Ijathus Allen, Mississippi College; De'cody Fagg, Florida State; Pierre Garcon (Garçon?), Mt. Union; Brian Penix, Arkansas; Maurice Purify, Nebraska; Ernest Wheelwright, Minnesota
  • TE – Kolomona Kapanui, West Texas A&M; Jonathan Stupar, Virginia; Keith Zinger, LSU
  • OL – Gosder Cherilus, Boston College; Oniel Cousins, UTEP; King Dunlap, Auburn; Tyler Polumbus, Colorado; Hercules Satele, Hawaii; Jeremy Zuttah, Rutgers
  • DL – Kentwan Balmer, North Carolina; Johnny Dingle, West Virginia; Trez Doolittle, Auburn; Keith Shologan, Central Florida
  • LB – SirDarean Adams, Michigan State; Jo-Lonn Dunbar, Boston College; Mike Klinkenborg, Iowa; J Leman, Illinois; Durrell Mapp, North Carolina; Steve Octavien, Nebraska; Le Rue Rumph, NC State; Bo Ruud, Nebraska; Misiovala Tupe, Texas A&
  • DB – Scorpio Babers, Sam Houston State; DeMario Bobo, Mississippi State; Quinn Gooch, BYU; Cortney Grixsby, Nebraska; James Thabuteau, Truman State
  • ST – Tim Bugg, Indiana; Garon McHone, Arizona
And, obviously, we'll be keeping a watchful eye for where Iowa State superstar defensive tackle Athyba Rubin lands. Now let's get this shindig started!

11:07 PM

Corey says: Well, the Browns didn't make any picks, but wow, that was an exciting two rounds of draftin'! I personally was glued to the TV set all day long! Let's recap the Browns highlights of the day, shall we?
  • Braylon Edwards' picture was prominently displayed right behind the main podium as part of the Radio City Music Hall stage design. Woo!
  • The Browns were prominently featured in ESPN's TV "side bar" as one of 32 or so teams in a regular "rotation" of up-to-the-minute draft tidbits. Feel the excitement!
  • The Baltimorons pulled off an amazing draft coup (just bear with me), turning a burdensome first-round pick into a bevy of ultra-valuable third- and fourth-round picks... only to squander several of those by trading back up, and then further wasting a second-round pick on a running back. Wasted opportunity!
  • The Indians won with a walk-off single in the ninth! I've got draft fever!!!
Anyhoo, Alex and I will bring you our patented "coverage" of the infinitely more exciting 2nd day of the draft some time tomorrow (if we feel like it). Try to get some rest, Browns fans. You're going to need it!

Posted at 11:07 PM2 comments

Sunday, April 20, 2008

Allegro Ma Non Troppo

by Corey

It seems to me that when the Cavaliers are on national TV, the announcers like to make the point that a slower tempo would favor the Cavs, while a faster tempo would favor the opponent (depending on the opponent, of course). If you watched Game 1 of the Cavs-Wizards series, you heard ESPN's Dave Pasch and Rick Carlisle make this suggestion several times. I guess the perception is, if you're a "defensive" team (as the Cavs are), your goal is to slow the game down, and if you're an "offensive" team (as the Wizards are—in more ways than one—zing!), your goal is to push the tempo. And while that may or may not be true, I'm fairly certain that "slow" does not equal "defense" and that "fast" does not equal "offense."

Anyway, I would like to put on record the following two scatter plots. The first compares the Cavaliers' offensive performance in each game of the 2007-08 season to the pace factor from that game (essentially, the number of Cavs possessions in the game):

Scatter plot comparing Cavaliers offensive efficiency to pace factor

While the pattern here is clearly a graphical representation of the Flying Spaghetti Monster, I think it's safe to say the Cavs can score (or not score) as efficiently during an uptempo game as they can during a slow one. The correlation between Cavs offensive efficiency and pace factor is an extremely low 0.018.

The next graph compares defensive performance to pace factor:

Scatter plot comparing Cavaliers defensive efficiency to pace factor

Another unshapely blob. The correlation is -0.056 (meaning, if anything, the Cavs defense does better in a faster game).

The Cavs' pace factor for the whole season is 90.2, which ranks them 22nd out of 30 teams. I would be curious to see what these graphics would look like for teams that play at extreme pace factors, say, Denver (99.7, 1st) or Detroit (87.3, 30th). But I only have the individual game data for the Cavs.

Oh, and by the way, the Wizards have the NBA's 4th-slowest pace factor (89.5). Way to know your stuff, ESPN!

Posted at 3:22 PM3 comments

Saturday, April 19, 2008

Cavaliers–Wizards Mediocre Preview Extravaganza (Or: The Pre-Season of the Post-Season!)

by Alex

Anyone who thinks that a preview should be published before the series actually starts obviously doesn't write for this blog. Though, in light of the fact that Game 1 is over and done and that the first round is a mere formality anyway, I'm going to keep this brief. If you'd like something a bit more satisfying about the Cavaliers' play, read Corey's "Regular Season in Review."

Unlike previous seasons, I'll be covering the Four Factors alone and dispensing with the starting lineup analysis. Why? Because starter-on-starter is kind of a weak thing to examine, in the first place, and I was never happy with the conclusions I'd drawn from it in the past. If you're new to APBRmetrics (which I guess is what everyone is calling it now, even though it sounds stupid) and wondering what the Four Factors are, here's a concise explanation on basketball-reference.com. Onward and upward!

When the Cavs are on offense

  • Shooting
          eFG%  Rank
    Us .494 26
    Them .514 27
    When both teams suck like this, my instinct is to think that the Wizards will win out and the Cavaliers will continue to shoot poorly. It's not like the Cavs have been shooting this way because of the great defenses they've faced night after night. Really any group of five guys is enough to keep the Cavaliers under a .500 eFG%.

  • Turnovers
          TO-r  Rank
    Us .156 14
    Them .157 11
    Again, it's pretty close. I'm not really sure if there's an advantage to be had.

  • Offensive rebounding
         OReb%  Rank
    Us .304 2
    Them .272 20
    Now there's your advantage. For three post-seasons now, I've been writing about how Ilgauskas, Varejão, and Gooden are such an underrated strength of the team. Now they've switched Gooden for Ben Wallace and Joe Smith, which doesn't change much net. Brendan Haywood and Antawn Jamison are the only Wizards worth caring about on the boards, and even then, only Haywood should be able to contend with the height the Cavs have.

  • Getting to the foul line
         FT/FG  Rank
    Us .220 20
    Them .217 12
    I expect the Cavaliers to beat an averagely-beaten path to the foul line.
The Cavs' offense obviously has its problems (107.5 offensive efficiency, 19th in the league). Fortunately, the Wizards' defense is nothing to brag about either (111.2, 22nd). It's like the match of two below-average-but-not-terrible titans.

When the Cavs are on defense

  • Shooting
          eFG%  Rank
    Us .494 10
    Them .514 19
    The Cavaliers haven't shown the defensive might they've had in previous seasons, but fortunately the Wizards offense has lost some efficiency, too. Basically, they're a team of chuckers.

  • Turnovers
          TO-r  Rank
    Us .149 20
    Them .147 8
    You may notice the disparity in rank, but also look at how small the difference between the two turnover rates actually is. A change of .002 in TO-r is like one turnover every four games. Again, I don't think there's any advantage here.

  • Offensive rebounding
         OReb%  Rank
    Us .241 2
    Them .289 8
    Despite their lack of height, the Wizards attack the offensive boards a good deal. The Cavs will need to make sure to box out or protect the basket or whatever and avoid giving up free possessions. The Wizards really shouldn't get second chances against the Cavs.

  • Getting to the foul line
         FT/FG  Rank
    Us .240 18
    Them .233 11
    The Cavaliers can't afford to get in foul trouble, since Mike Brown doesn't actually trust most of the bench and some starters. Also the big men often get foul-happy. It might not be a bad idea to encourage Washington to shoot more threes than normal—they are below league average from outside, after all.
The Wizards' offense has been decent (110.4, 12th) and so has the Cavs' defense (108.0, 11th). But the teams that accumulated these stats are pretty different than the ones we'll be watching in the upcoming weeks. Basically, due to the Cavs' mid-season blockbuster and the various, wide-ranging injuries affecting both teams, you have to take even these season-long statistics with a measure of skepticism. Is it bad that it's only the first round and I'm already mailing it in? I vote "indifferent."

And now for your Wizards highlight of the season…



I like to view that allegorically, with the Cavaliers represented by Danny Granger, no doubt.

Posted at 7:28 PM0 comments

Friday, April 18, 2008

The Regular Season in Review

by Corey

I'm still not sure what to make of the Cavaliers' 2007-2008 regular season. As the Cavs prepare, once again, for the bureaucratic formality that is the Washington Wizards, I'm not sure whether we should be optimistic or pessimistic about the team's "true" ability, and thus its playoff chances. So I'll try to summarize both viewpoints. Let's start with the pessimistic...

Why the Cavs are not as good as you think

The team finished 45-37, five wins off last year's pace. But even that may be understating the case. Pythagoreally, the decline from last season is even more pronounced. The 2007 Cavs finished the regular season with about 52.3 Pythagorean wins; the 2008 Cavs finished with only 39.9 Pythagorean wins—that's right, the Cavs played about as well as a .487 team, and lucked into their "good" record.

And this is a team that plays in the National League of the NBA—the Eastern Conference—meaning their record, like all their team statistics, is artificially inflated, thanks to being relatively insulated from all those incredible Western Conference powerhouses.

Offensively, the Cavs scored 106.0 points per 100 possessions, which is an improvement on last year's 105.5, but not really when you consider that last year they ranked 18th in the NBA, while this year, they rank only 19th. (There was a league-wide uptick in offensive efficiency this year.)

The more significant decline was in the Cavs' defense, which went from a 4th-ranked efficiency of 101.3 a year ago, to an 11th-ranked mark of 106.4 this season. A close look at the Four Factors reveals the defense's drop-off from 2007 is localized to a couple of areas:
               2006-07  2007-08
Opp. eFG% 0.480 0.494
Def. TO rate 0.163 0.143
Def. Reb. rate 0.758 0.759
Opp. FT/FGA 0.243 0.240
The Cavs' superior defensive rebounding has stayed about the same, and they're committing fouls at about the same rate. The problem has been opponent shooting, and a lack of turnovers. Truth be told, this evidence suggests the problem is on the perimeter, which should only serve to remind us that offensive succubus Larry Hughes was, in fact, a great perimeter defender, as was the late Eric Snow. It might even be the case that LeBron James' defense regressed a little after His amazing defensive performance in 2007.

Finally, there seems to be a sense that the already severely injury-plagued Cavs are "limping into the playoffs," with several of the team's key players either suffering from or just now getting over injuries of various types. I can't really argue with this notion (though I do think it's an exaggeration), as the Cavaliers haven't exactly been lighting up their opponents the last few weeks. Last year, they played their best basketball of the regular season in March and April, entering the playoffs on a very high note (and we know how that worked out). This year, they played (unquestionably) their best basketball in January, and have been pretty middling ever since.

But enough of that...

Why the Cavs are better than you think

The season's statistics may be bad, but do they really represent the true, current Cavaliers? After a ridiculous number of injuries and one extremely roster-mutating trade, it's reasonable to view the season totals with a degree of skepticism. By looking at more specific splits, we may get some slightly less reliable data, but we can try to discern how the current Cavs might differ from the "whole season" Cavs.

Take a look at the Cavaliers' total point differential over the course of the season (click to enlarge):

Graph of the Cavs' point differential over the course of the 2007-2008 season

The entire line exists below the break-even point of zero (which is why the team's Pythagorean win percentage is below .500), but a couple of things jump out at me. First, the general slope of the line, from about New Year's to the end, is positive, with only one major downturn, and two pretty healthy "surges" (the month of January, and the period right after the big trade).

But more importantly, almost the entire freefall down to the season's "nadir" occurred in the span of about 5 games, starting on November 28. In case you're not so good at remembering dates, the Cavs were in Detroit that night. They trailed the Pistons by 5 at the end of two quarters, but LeBron didn't suit up for the second half, and the Cavs went on to lose by 35. LeBron missed five more games while His index finger healed, during which time the Cavs lost by margins of 9, 10, 21, 19, and 3. That was all she wrote for the team's point differential: a 94-point drop in only 5 games.

At the risk of cherry-picking statistics, I thought it might be worthwhile to compare the team's performance in "LeBron-blessed" and "non-LeBron" situations. LeBron missed 7 whole games this season (including one at the end of January and the season finale on Wednesday night). I decided not to put the November 28 fiasco against Detroit into either category, since LeBron did play half the game, and I don't feel like trying to break up the box score into first-half and second-half stats. So basically, we have a sample size of 74 "LeBron-blessed" games and 7 "non-LeBron" games:
           LeBron   no LeBron
games 74 7
win pct. 0.608 0.000
Pythag. W% 0.541 0.146
Off. Eff. 107.5 94.3
Def. Eff. 105.6 108.5
Sweet Mother of God Gloria James, the Cavs were awful during those 7 games without The Chosen One. And that's not even counting the 24 minutes in Detroit when they were outscored by 30 points. I know we're talking about a very small sample size, but without LeBron, the Cavs offense disappeared. They scored only 94.3 points per 100 possessions—for comparison, the NBA average is 107.5, and over the whole season, the worst offense in the league, the Miami Heat(s), scored a whopping 100.5 points per 100 possessions.

The other event of which I've made note on the graph above is the "big trade" for Wallace, Szczerbiak, Smith and West. Certainly, we want to look at how the team fared both before and after the trade. Here's a summary (I have not included the February 22 game against Washington in either category, as neither group of traded players was able to suit up for that one):
           pre-trade  post-trade
games 54 27
win pct. 0.556 0.519
Pythag. W% 0.456 0.549
Off. Eff. 105.4 106.5
Def. Eff. 107.7 105.4
At a glance, it looks like the Cavs were, in fact, much improved by the trade. The Hughes-Gooden squad won a higher percentage of their games, but they were lucky to do so, since they didn't score nearly as efficiently, nor did they play defense as efficiently. On the other hand, the pre-trade Cavaliers were the ones forced to endure LeBron's five-game absence, which we know can skew the stats unfairly.

I thought it might be a better idea to examine the performances of the individual players traded. Here's a quick-'n'-dirty summary of what the Cavaliers got out of their new arrivals:
          minutes  O-Rating  D-Rating
West 806 108 107
Smith 580 114 107
Wallace 578 104 102
Szczerbiak 556 99 109
Except for Szczerbiak, who played the fewest minutes but was awful, all of these guys performed pretty well. Ben Wallace still posted the worst D-Rating of his career, but his offensive performance, shockingly and without precedent, was adequate, so his overall value was in the black. Similarly, Delonte West's defense was not great, but he turned his offensive game around (his 2007-08 O-Rating as a Supersonic was just 87) so he came out in the black, too. Somewhat surprisingly, the most efficient performer of the four was Joe Smith, whose offensive rating shot up after the trade. That one smells like it might be a small sample size fluke to me, but you never know.

Here's a summary of what the Cavs got out of their dearly departed, pre-trade:
          minutes  O-Rating  D-Rating
Gooden 1564 98 105
Hughes 1210 96 106
Newble 650 101 106
Brown 218 86 108
Marshall 156 94 106
At the time of the trade, I did not realize what a horrible offensive season Drew Gooden was having. After posting O-Ratings of 112, 112, and 107 in his first three years as a Cavalier, Gooden was sitting on a rating of 98 before he was shipped to Chicago. On the one hand, this might serve as justification for trading him, but on the other hand, it means the Cavs traded low, so to speak. As a Bull, Gooden posted an O-Rating of 107 (right back to his 2006-07 level). Gooden's defense has remained strong throughout.

Larry Hughes, on the other hand, sucked as a Cavalier, and continued to suck as a Bull (rating 98/108). His defense was already down from last year's fine D-Rating of 103, while his offense was just as terrible as it had been for years. Good riddance.

All told, I have to say, the trade looks like it was a net positive for the Cavs. I might contend that, even without making the trade, they would have played better over the final 28 games than they did over the first 54, but it'd be hard to argue that they would have (or could have) improved any more than they did by pulling the trigger. I take this as another sign that the Cavs are, in fact, better than their record, or even their Pythagorean record, would have us believe.

Lastly, I'm well aware that there's a philosophy out there—a popular one—which suggests that certain teams—the Cavs being one—have the ability to "flip the switch" when it comes time for the postseason. I guess, in the minds of the "switch-ists" out there, the Cavs qualify for this option because LeBron is the supreme commander of time and space. In other words, I'm not completely discounting the notion that this happens in the NBA, but at the same time, I do not accept it at face value just because "people" say so. I've been pondering for some time now how to compile data on whether this is a real phenomenon, and I'm hopeful I'll be able to post something on the blog on the topic of "switch-flippability" before we get too far into the playoffs. I would be very happy to hear your thoughts, readers, on how to approach the question of fact vs. fiction, using data from past seasons. For now, I'll just say that I'm very skeptical, but there exists a possibility that LeBron will "flip the switch" and that the Cavs of the upcoming 2 months will not resemble the Cavs of the previous eight in any way, shape, or form. So yeah, that would be another reason to be optimistic. I guess.

In summary, it was a season of extremes, and of unanswered questions. Because of that, there are some Cavs optimists around town these days, and there are even more Cavs pessimists. But give it a few weeks: almost none of those people, pro or con, will remember how they once felt about the regular season, because in the NBA, you're judged by how far you go in the playoffs, and that alone. In my regular season recap from a year ago, I made this same point. It seems, on the heels of a second consecutive 50-32 campaign, people were looking on the 2006-07 regular season as a disappointment (the Cavs having failed to increase their win total). But in my article I pointed out that the Cavs had, in fact, improved quite a bit from the year before, and that the pessimism was unwarranted. Of course, the Cavs went on to appear in the NBA Finals, and now everyone remembers the 2006-07 season as a big success.

The point is that the 2007-08 regular season leaves us with an even cloudier picture than we had at this time last year, so the range of possibilities for the Cavaliers in the playoffs is as wide as ever. They could peter out in an early round... or they could shock the world and reach the NBA Finals for a second consecutive year. Neither is that hard to imagine, is it?

Posted at 5:00 PM0 comments

Wednesday, April 16, 2008

Overcompensation!

by Alex

Thank you, N.F.L. overlords.
The Browns will play a franchise-record five times on prime time television -- three times on Monday night and once each on Sunday and Thursday night -- in the 2008 schedule announced by the NFL.
To be accurate, five is the minimum. If, by some miraculous accident, the Browns are in contention at the end of the season, one of their five Sunday-afternoon games after November 11 could be bumped up to Sunday night, thanks to the league's flexible television schedule policy. If I were a betting man, Browns–Steelers on the last weekend of the year would be my one-hundred-percent-guaranted Shoe-in of the Week™.

Anyway, when I reached the end of that article, I began idly reading its comments. Things like "Brutal. That schedule has 3-13 written all over it." jumped out. I'll take the tone of the comments to represent the public opinion that the Browns will face a difficult schedule in 2008. That seems reasonable to say—many of their opponents made the playoffs last year and those that didn't seem likely to be improved in the fall.

Actually, no. I don't think it's a reasonable thing to say. Every spring, the N.F.L. releases its schedules and people start drawing conclusions on who's got it tough and who's got it easy. It's easy to fall into the trap; for those tired of draft rumors, there isn't much else to talk about. By the time the season rolls around and we actually find out how tough those schedules were, everyone has forgotten what they said in April. No one bothers to compare what was said and what happened, so no one knows whether all these predictions hold water.

I couldn't remember ever seeing a study into this, so I did a mini-study of my own. Here's what I did: I found both the 2006 and 2007 Pythagorean winning percentage for each team. Then I compiled the 2007 schedule for each team. Then I calculated both the expected schedule strength and the actual schedule strength, based on those schedules. Expected schedule strength was simply the opponents' average 2006 Pythagorean winning percentage. Actual schedule strength was, you guessed it, the opponents' average 2007 Pythagorean winning percentage. All of this was to compare the expected and actual results.

Strength of schedule is all relative, of course. You could only judge the Browns' slate of opponents relative to other teams in the league. In a vacuum, saying that the Browns' average opponent has a .502 (or whatever) average Pythagorean winning percentage means next to nothing. Imagine that every team is nearly identical—parity is almost absolute. Comparing to other teams (many of whom would have an average opponent strength of .500 or so), it would look like the Browns had a very difficult schedule. Now imagine that talent is dispersed much less equally. The Browns opponents wouldn't look so tough anymore, since some teams would have much tougher schedules and others much easier. All that is to say, you need to compare schedule strengths to make any conclusions.

In that vein, I sorted the teams by their expected schedule strength and ranked them. Then I repeated this with actual schedule strength. I compared the difference between the two rankings. If pre-season expectations meant something, you'd anticipate a team's rank based on expected schedule strength to predict their rank based on actual schedule strength. The result doesn't support that very much. Expected rank and actual rank have a correlation of .122—meaning you can predict 12% of a team's actual schedule strength rank by their expected rank. All of my numbers are viewable in this Google Spreadsheet.

And now, a mountain of caveats:
  • Sample-size issue #1: Sixteen games isn't very much for Pythagorean winning percentage, which means that it's not the most accurate measure of true team quality. I could've used DVOA, which I trust more, but I originally meant to repeat the study with more seasons, perhaps years for which DVOA isn't available. But the whole thing took too long and I gave up.
  • Sample-size issue #2: Using only one season isn't much. Like I said, I'd hoped to use more and someone else should.
  • Pyhtagorean winning percentages don't account for home-field advantage. Therefore the difficultly of playing a great opponent when you're at home is overstated, and vice versa.
  • People don't base their predictions of a team's strength of schedule purely on the performance of their opponents in the previous season. Instead, they try to account for things like player improvement, personnel changes, aging, etc. But who's to say how accurately they adjust for these kind of things? I'd bet that if I'd used some kind of fan power rankings to calculate the expected rankings, the correlation between expected and actual rank would've been even lower.
  • I shouldn't have used pure Pythagorean winning percentage for a team's actual strength. Why? If a team's defense is simply amazing, then all of their opponents' scoring would be lower. These opponents would look worse than they actually are. I should've instead used points scored and allowed in games not against the team in question. Unfortunately, that's a little complicated to calculate and I'm not sure how I'd work it in a spreadsheet.
With all that said, I still believe these pre-season expectations and their corresponding predictions are crazy. And now, there's at least some objective evidence to back that up. You just have to take it with a grain of salt. So, when you hear someone say how hard the Browns/Giants/Cardinals/whoever will have it next year and that's why they won't do x, ignore them.

Posted at 9:24 PM5 comments