The numbers are in the table below. POPS is the OPS allowed by the team's pitching staff. The Dodgers hitters had a .775 OPS while their pitchers allowed .617. That gives them a .158 differential. Data from Baseball Reference and Stathead.
Last August I compiled the top 25 teams from 1901-2021. The 2022 Dodgers would tie for 4th place while the 2022 Astros would be tied for 15th. See Highest Team OPS Differentials, 1901-2021.
Team |
OPS |
POPS |
W-L% |
Diff |
Los Angeles Dodgers |
0.775 |
0.617 |
0.685 |
0.158 |
Houston Astros |
0.743 |
0.613 |
0.654 |
0.130 |
New York Yankees |
0.751 |
0.640 |
0.611 |
0.111 |
Atlanta Braves |
0.761 |
0.651 |
0.623 |
0.110 |
New York Mets |
0.744 |
0.676 |
0.623 |
0.068 |
Toronto Blue Jays |
0.760 |
0.707 |
0.568 |
0.053 |
St. Louis Cardinals |
0.745 |
0.696 |
0.574 |
0.049 |
Philadelphia Phillies |
0.739 |
0.701 |
0.537 |
0.038 |
Cleveland Guardians |
0.699 |
0.665 |
0.568 |
0.034 |
Milwaukee Brewers |
0.724 |
0.691 |
0.531 |
0.033 |
San Diego Padres |
0.700 |
0.679 |
0.549 |
0.021 |
Tampa Bay Rays |
0.686 |
0.669 |
0.531 |
0.017 |
Seattle Mariners |
0.704 |
0.688 |
0.556 |
0.016 |
Minnesota Twins |
0.718 |
0.707 |
0.481 |
0.011 |
San Francisco Giants |
0.705 |
0.702 |
0.500 |
0.003 |
Los Angeles Angels |
0.687 |
0.685 |
0.451 |
0.002 |
Chicago White Sox |
0.698 |
0.700 |
0.500 |
-0.002 |
Boston Red Sox |
0.731 |
0.745 |
0.481 |
-0.014 |
Texas Rangers |
0.696 |
0.722 |
0.420 |
-0.026 |
Baltimore Orioles |
0.695 |
0.724 |
0.512 |
-0.029 |
Chicago Cubs |
0.698 |
0.731 |
0.457 |
-0.033 |
Arizona Diamondbacks |
0.689 |
0.729 |
0.457 |
-0.040 |
Miami Marlins |
0.658 |
0.720 |
0.426 |
-0.062 |
Colorado Rockies |
0.713 |
0.786 |
0.420 |
-0.073 |
Detroit Tigers |
0.632 |
0.710 |
0.407 |
-0.078 |
Kansas City Royals |
0.686 |
0.770 |
0.401 |
-0.084 |
Cincinnati Reds |
0.676 |
0.766 |
0.383 |
-0.090 |
Pittsburgh Pirates |
0.655 |
0.748 |
0.383 |
-0.093 |
Washington Nationals |
0.688 |
0.791 |
0.340 |
-0.103 |
Oakland Athletics |
0.626 |
0.750 |
0.370 |
-0.124 |
The graph below shows the relationship between team OPS differential and team W-L%.
The trend line shows that there was a very close relationship last year. The regression equation is
W-L% = 1.2151x + 0.4998
The R² (R squared) = 0.9343, meaning 93.43% of the variation in team W-L% is explained by OPS differential.
I was surprised by such a close relationship for just one year of data. Some regressions that I have done on this averaged team OPS differential and team W-L% over a five year period and had a lower R squared. See The Relationship Between OPS Differential And Winning Percentage Using 5 Year Averages.
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