The 2019 series on team offense continues with the Tampa Bay Rays. The Rays finished sixteenth in the majors and ninth in the American League in 2018 with 4.42 runs scored per game.
I am using RotoChamp as a source of default lineups. That Kevin Cash order is plugged into the Lineup Analysis Tool (LAT) using Musings Marcels as the batter projections. That information produces the following results (Runs per game):
- Best lineup: 5.07
- Probable lineup: 5.01
- Worst lineup: 4.81
- Regressed lineup: 4.61
Kevin Kiermaier does not own a good projected OBP, but his number were way off in 2018 due to injury. His career OBP is just .313, however, so I’m not sure he is the best choice for that part of the order.
Behind him, however, are a six players with similar on-base skills. Most have some pop, too. So optimum Rays lineup is projected to score as many runs as the Angels optimum, but because the Rays talent is so evenly distributed, even a poorly designed order is pretty good. With no superstar, the Rays are the equal of the Angels, who own the best hitter in the game.
The Rays improved with castoffs. Tommy Pham gives them a table setter. Avisal Garcia raps out hits. Mike Zunino generates power. The Rays asked what they could do not what they couldn’t do, and found a way to use them. Maybe this year the fans will come out to watch them hit.
You can follow the data for the series in this Google spreadsheet. If you like this series, consider a donation to the Baseball Musings Pledge Drive.
Previous posts in this series:
- Introduction (From last year, still using the same methods and regression equation.)
- Boston Red Sox
- New York Yankees
- Cleveland Indians
- Oakland Athletics
- Los Angeles Dodgers
- Houston Astros
- Colorado Rockies
- Washington Nationals
- Atlanta Braves
- St. Louis Cardinals
- Chicago Cubs
- Milwaukee Brewers
- Minnesota Twins
- Texas Rangers
- Los Angeles Angels of Anaheim
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