I’ve taken a look at the possible draft scenarios, so let’s now take a look at the other fairly confusing bunch of scenarios, the seeding scenarios in the Western Conference.
Cleveland Receives: Ben Wallace, Wally Szczerbiak, Delonte West, Joe Smith Loses: Drew Gooden, Larry Hughes, Cedric Simmons, Shannon Brown, Ira Newble, Donyell Marshall Sure it’s a sore point that the Cavs aren’t getting the point guard that they’ve been looking for, especially considering Jason Kidd, Mike Bibby, Devin Harris, and even Mike James have all changed teams this year. But looking at who they gave up, it’s addition by subtraction. Consider the league average for TS% is typically around 54% (53.7% at this moment), and look at who’s heading out of Cleveland: Drew Gooden (48.7%), Larry Hughes (46.7%), Donyell Marshall …continue reading
The other day I was on the train and overheard two Knick fans talking about the state of the team. The first man asked the other what was wrong with the team to which the second replied: “Isiah has to go. They have a good team on paper.” It seems that there’s the idea floating around Knick-nation that with a coaching change and a few tweaks the Knicks could have a good team. However, watching last Wednesday’s loss to the depleted Kings gave me a clear picture of why the Knicks just can’t win with this current roster. In reality …continue reading
For your pre-game, in-game, and post-game ranting pleasure…
Last year I unveiled OTTER, an objective team ranking system. It had two parts, a pre-season predictive team aspect and a in season aspect. Unfortunately I’ve decided to put part one on hold for now. I’d like to find a better way to predict performance from season to season. However I’m still able to publish the second part which is team rankings based on the Colley Matrix. Dr. Colley invented this method of ranking teams by looking at only the results of games. That is each game is valued by strength of opponent. This ranking has a single advantage over …continue reading
After each game this season, we’ll be taking a look at what the four factors have to say about the game– how the winner won and the loser lost. For an intro to the four factors, see A Layman’s Guide to Advanced NBA Statistics. Knicks lose to Kings, 118 – 123 Pace Eff eFG FT/FG OREB% TOr NYK 91.0 107.3 42.5% 33.0 36.5 12.7 SAC 111.8 51.7% 39.5 27.7 17.3 Another bad, frustrating loss. You might look at this game and blame Curry’s blown layup at the end of regulation, or Crawford’s and Lee’s misses at the end of the …continue reading