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NCAA Division I Baseball -- RPI-Based Schedule Analysis for Brigham Young

Last updated: Fri May 27 06:56:09 2016

Team Components

Opponents' Winning % OWP 0.500
Opponents' Opponents' Winning % OOWP 0.503
Strength of Schedule OWP / 2 + OOWP / 4 0.37575


Schedule Analysis

Legend:

Contribution is the Strength of Schedule portion for the given opponent -- it directly scales with the SoS number above. Impact is the difference in the team's SoS and the opponent's contribution, divided by the number of games played.

Opponents marked in red do damage to the team's RPI, even if the team beats them. Opponents marked in yellow do damage if the team loses to them.

Opponent Location W L WP OWP Contribution Impact
St. Louis neutral 24 31 0.436 0.457 0.332 -0.00084
St. Louis neutral 24 31 0.436 0.457 0.332 -0.00084
St. Louis neutral 24 31 0.436 0.457 0.332 -0.00084
St. Louis neutral 24 31 0.436 0.457 0.332 -0.00084
Samford Samford 33 24 0.579 0.498 0.414 0.00074
Samford Samford 33 24 0.579 0.498 0.414 0.00074
Samford Samford 33 24 0.579 0.498 0.414 0.00074
Samford Samford 33 24 0.579 0.498 0.414 0.00074
Kansas Kansas 17 35 0.327 0.537 0.298 -0.00150
Kansas Kansas 17 35 0.327 0.537 0.298 -0.00150
Kansas Kansas 17 35 0.327 0.537 0.298 -0.00150
Utah Valley Brigham Young 34 21 0.618 0.451 0.422 0.00089
Niagara Brigham Young 16 37 0.302 0.458 0.266 -0.00211
Niagara Brigham Young 16 37 0.302 0.458 0.266 -0.00211
Niagara Brigham Young 16 37 0.302 0.458 0.266 -0.00211
Niagara Brigham Young 16 37 0.302 0.458 0.266 -0.00211
Utah Brigham Young 23 26 0.469 0.542 0.370 -0.00011
Pacific Brigham Young 22 30 0.423 0.472 0.330 -0.00088
Pacific Brigham Young 22 30 0.423 0.472 0.330 -0.00088
Pacific Brigham Young 22 30 0.423 0.472 0.330 -0.00088
Loyola Marymount Brigham Young 26 27 0.491 0.515 0.374 -0.00003
Loyola Marymount Brigham Young 26 27 0.491 0.515 0.374 -0.00003
Loyola Marymount Brigham Young 26 27 0.491 0.515 0.374 -0.00003
Portland Portland 17 37 0.315 0.513 0.286 -0.00173
Portland Portland 17 37 0.315 0.513 0.286 -0.00173
Portland Portland 17 37 0.315 0.513 0.286 -0.00173
Arizona Brigham Young 35 20 0.636 0.552 0.456 0.00154
San Diego Brigham Young 27 29 0.482 0.528 0.373 -0.00005
San Diego Brigham Young 27 29 0.482 0.528 0.373 -0.00005
San Diego Brigham Young 27 29 0.482 0.528 0.373 -0.00005
Utah Brigham Young 23 26 0.469 0.542 0.370 -0.00011
St. Mary's St. Mary's 30 23 0.566 0.532 0.416 0.00077
St. Mary's St. Mary's 30 23 0.566 0.532 0.416 0.00077
St. Mary's St. Mary's 30 23 0.566 0.532 0.416 0.00077
Creighton Brigham Young 36 15 0.706 0.498 0.477 0.00195
Creighton Brigham Young 36 15 0.706 0.498 0.477 0.00195
Creighton Brigham Young 36 15 0.706 0.498 0.477 0.00195
Gonzaga Brigham Young 33 17 0.660 0.500 0.455 0.00152
Gonzaga Brigham Young 33 17 0.660 0.500 0.455 0.00152
Gonzaga Brigham Young 33 17 0.660 0.500 0.455 0.00152
Utah Valley Brigham Young 34 21 0.618 0.451 0.422 0.00089
Pepperdine Pepperdine 28 22 0.560 0.534 0.414 0.00074
Pepperdine Pepperdine 28 22 0.560 0.534 0.414 0.00074
Pepperdine Pepperdine 28 22 0.560 0.534 0.414 0.00074
Utah Valley Utah Valley 34 21 0.618 0.451 0.422 0.00089
San Francisco San Francisco 22 34 0.393 0.529 0.329 -0.00090
San Francisco San Francisco 22 34 0.393 0.529 0.329 -0.00090
San Francisco San Francisco 22 34 0.393 0.529 0.329 -0.00090
Utah Utah 23 26 0.469 0.542 0.370 -0.00011
Santa Clara Brigham Young 23 29 0.442 0.503 0.347 -0.00055
Santa Clara Brigham Young 23 29 0.442 0.503 0.347 -0.00055
Santa Clara Brigham Young 23 29 0.442 0.503 0.347 -0.00055
Gonzaga neutral 33 17 0.660 0.500 0.455 0.00152

Legend:

Opponents marked in red will do damage to the team's RPI, even if the team beats them. Opponents marked in yellow will do damage if the team loses to them. Opponents marked in green will improve RPI, even if the team loses to them.

Potential Opponents, < 150 Miles

Opponent Distance W L WP OWP Contribution
Utah 35.89 23 26 0.469 0.542 0.370
Utah Valley 3.77 34 21 0.618 0.451 0.422

Potential Opponents, > 150 Miles and < 300 Miles

Opponent Distance W L WP OWP Contribution

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Boyd's World-> Ratings-> Pseudo-RPI's-> Schedule Analysis About the author, Boyd Nation