Tables are scannable and allow people to discover trends and outliers

I read a lot of sports websites and blogs, and too often I see statistics presented as paragraph text:

Baseball Prospectus lineups screenshot

Source: Playoff Prospectus: ALCS Preview, baseballprospectus.com

Which A’s player has the highest VORP? Who are the sluggers on each team? Are the players with high on-base percentages hitting at the top of the lineups? A very determined user can answer these questions with the data display given. HTML tables improve readability of sports statistics and increase the chances that people will discover trends and outliers within the data.

Athletics
Pos Bats Player AVG OBP SLG EqA VORP
C R Jason Kendall .295 .367 .342 .260 12.1
CF L Mark Kotsay .275 .332 .386 .256 8.9
RF B Milton Bradley .276 .370 .447 .289 17.2
DH R Frank Thomas .270 .381 .545 .313 40.3
3B L Eric Chavez .241 .351 .435 .278 11.9
LF R Jay Payton .296 .325 .418 .259 9.7
1B B Nick Swisher .254 .372 .493 .297 26.9
SS R Marco Scutaro .266 .350 .397 .269 13.9
2B B D’Angelo Jimenez * .264 .349 .378 .260 NA
* Career rates, including 2006
Tigers
Pos Bats Player AVG OBP SLG EqA VORP
CF L Curtis Granderson .260 .335 .438 .269 23.4
2B R Placido Polanco .295 .329 .364 .245 8.4
1B L Sean Casey .272 .336 .388 .256 -2.0
RF R Magglio Ordonez .298 .350 .477 .282 28.4
SS B Carlos Guillen .320 .400 .519 .314 67.0
C R Ivan Rodriguez .300 .332 .437 .267 22.7
LF R Craig Monroe .255 .301 .482 .265 9.2
DH R Marcus Thames .256 .333 .549 .292 20.1
3B R Brandon Inge .253 .313 .463 .266 10.1

This is an easy solution that improves both the aesthetics and the usability of a data display. Now I want to know why Sean Casey is batting 3rd and Carlos Guillen 5th.

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