Page rendered in 0.3732 seconds
59 querie(s) executed
— Where BTF's Members Investigate the Grand Old Game
Monday, September 16, 2002
SUPER-LWTS ? 2001
Mitchel presents the results from last season.
Presenting the results for the 2001 Season
Last year I introduced a revolutionary new metric for evaluating the complete performance of a player. It is called Super Linear Weights, Superlwts, or SLW, and is actually an extension of Pete Palmer?s original linear weights (lwts) formula (defense, baserunning, and a few more offensive categories are added to Pete?s formula). It is based on play-by-play (PBP) data, including hit type and location for all batted balls. I have since revised some of the methodologies, but the essence has remained the same.
Like Palmer?s lwts, each of the categories is expressed as a number of runs above (plus) or below (minus) the league average, which is naturally defined as zero. For example, a player who had a defensive lwts of -5 was a below average fielder. In fact, he allowed 5 more runs to score (theoretically, of course) than an ?average? player. By convention, regardless of the category, minus is always bad and plus is always good. Because each category uses the same ?currency? (runs above or below average), all of the categories can be summed to produce each player?s total linear weights, or Super Linear Weights. A player?s SLW tells us exactly how many runs above or below average he is ?worth? to an average team under average conditions.
It is only better than Palmer?s lwts, BaseRuns, Runs Created, or other similar metrics, because it adds in defensive and baserunning value, and a few extra offensive odds and ends. However, this makes it a much better metric for evaluating total player value. There are many players whose good or great offensive performance are completely negated by their poor defensive and baserunning skills, and vice versa. As well, great defensive value can turn a good offensive player into a great overall player, poor defense can turn an otherwise marginal player into a terrible player, etc. The permutations are unlimited.
2001 Super Linear Weights Results
Here are the Super Linear Weights categories and their brief explanations - (Note: A more detailed explanation of the various methodologies used in SLW can be found in the original two articles. A link to them is provided at the bottom of the page)
The chart below contains the results of the 2001 season only.
View the sortable Super Linear Weights, 2001
Note: after clicking the above link, you will be prompted: click NO and wait a few seconds for the results
You must be logged in to view your Bookmarks.
Loser Scores 2015
(12 - 2:28pm, Nov 17)
Loser Scores 2014
(8 - 2:36pm, Nov 15)
Winning Pitcher: Bumgarner....er, Affeldt
(43 - 8:29am, Nov 05)
Last: ERROR---Jolly Old St. Nick
What do you do with Deacon White?
(17 - 12:12pm, Dec 23)
Last: Alex King
(15 - 12:05am, Oct 18)
Nine (Year) Men Out: Free El Duque!
(67 - 10:46am, May 09)
Who is Shyam Das?
(4 - 7:52pm, Feb 23)
Last: RoyalsRetro (AG#1F)
Greg Spira, RIP
(45 - 9:22pm, Jan 09)
Last: Jonathan Spira
Northern California Symposium on Statistics and Operations Research in Sports, October 16, 2010
(5 - 12:50am, Sep 18)
Mike Morgan, the Nexus of the Baseball Universe?
(37 - 12:33pm, Jun 23)
Last: The Keith Law Blog Blah Blah (battlekow)
Sabermetrics, Scouting, and the Science of Baseball – May 21 and 22, 2011
(2 - 8:03pm, May 16)
Last: Diamond Research
Retrosheet Semi-Annual Site Update!
(4 - 3:07pm, Nov 18)
What Might Work in the World Series, 2010 Edition
(5 - 2:27pm, Nov 12)
Last: fra paolo
Predicting the 2010 Playoffs
(11 - 5:21pm, Oct 20)
SABR 40: Impressions of a First-Time Attendee
(5 - 11:12pm, Aug 19)
Last: Joe Bivens, Floundering Pumpkin