Understanding Strength of Schedule in NCAA Baseball: A Comprehensive Guide

In college baseball, evaluating a team's performance goes beyond simply looking at their win-loss record. The strength of schedule (SOS) plays a crucial role in determining a team's true caliber and its chances of making it to the NCAA Tournament. This article delves into the intricacies of SOS in NCAA baseball, exploring its various aspects, including the Rating Percentage Index (RPI), alternative ranking systems, and the impact of scheduling strategies.

The Rating Percentage Index (RPI): A Key Metric

The Rating Percentage Index, commonly known as the RPI, is a metric used to rank sports teams based on their wins and losses, as well as the strength of their schedules. It is one of the sports rating systems used to rank NCAA teams in various sports, including baseball. The RPI has been a significant factor in the NCAA tournament selection process, influencing which teams receive at-large bids and their seeding.

RPI Calculation: A Breakdown

In its current formulation, the RPI comprises three components:

  1. Winning Percentage (WP): This accounts for 25% of the RPI and reflects a team's overall record. For Division 1 NCAA Men's basketball, the WP factor of the RPI was updated in 2004 to account for differences in home, away, and neutral games. A home win now counts as 0.6 win, while a road win counts as 1.4 wins. Inversely, a home loss equals 1.4 losses, while a road loss counts as 0.6 loss. A neutral game counts as 1 win or 1 loss. This change was based on statistical data that consistently showed home teams in Division I basketball winning about two-thirds of the time. Note that this location adjustment applies only to the WP factor and not the OWP and OOWP factors. Only games against Division 1 teams are included for all RPI factors. The WP is calculated by taking a team's wins divided by the number of games it has played.

  2. Opponents' Winning Percentage (OWP): This accounts for 50% of the RPI and measures the combined winning percentage of a team's opponents. The OWP is calculated by taking the average of the WP's for each of the team's opponents with the requirement that all games against the team in question are removed from the equation.

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  3. Opponents' Opponents' Winning Percentage (OOWP): This accounts for the remaining 25% of the RPI and reflects the combined winning percentage of a team's opponents' opponents. The OOWP is calculated by taking the average of each Opponent's OWP. Note that the team in question is part of the team's OOWP.

The OWP and OOWP together comprise the strength of schedule (SOS).

Adjustments to the RPI Formula in Baseball

Starting in 2013, the college baseball RPI formula was adjusted to account for the discrepancy in the number of home games teams play. This adjustment values each road victory as 1.3 instead of 1.0, while each home win is valued at 0.7 instead of 1.0. Conversely, each home loss counts 1.3 against a team's RPI, and each road loss counts 0.7 against a team's RPI. Neutral-site games have a value of 1.0. This change replaced the previous system of bonuses or penalties that teams received for beating top-75 non-conference opponents on the road or losing to bottom-75 non-conference opponents at home. The adjustment is based on data showing that home teams win about 62 percent of the time in Division I baseball.

RPI Quadrants

Since 2018, performance against certain RPI quadrants has been one criterion for determining selection to the NCAA Tournament. A quadrant 1 win is typically considered a "good win," while a quadrant 4 loss is considered a "bad loss." The quadrants are defined as follows:

  • Quadrant 1: Home games vs. RPI teams ranked in the top 30; neutral games vs. 1-50; away games vs.
  • Quadrant 2: Home vs. 31-75 teams; neutral vs. 51-100; away vs.
  • Quadrant 3: Home vs. 76-160 teams; neutral vs. 101-200; away vs.
  • Quadrant 4: Home vs. 161-plus teams; neutral vs. 201-plus; away vs.

Limitations and Criticisms of the RPI

Despite its widespread use, the RPI has faced criticism for several reasons:

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  • Lack of Theoretical Justification: The RPI lacks theoretical justification from a statistical standpoint.

  • Emphasis on Strength of Schedule: Some argue that the heavy emphasis on strength of schedule gives an unfair advantage to teams from major conferences, as they have more control over their non-conference opponents.

  • Potential for Manipulation: The RPI formula also has many flaws. Due to the heavy weighting of opponents winning percentage, beating a team with a bad RPI may actually hurt your RPI. losing to a good RPI team can help your RPI.

Beyond the RPI: Alternative Ranking Systems

Given the limitations of the RPI, various alternative ranking systems have been developed to provide a more comprehensive evaluation of college baseball teams. These systems often incorporate additional factors, such as margin of victory, game statistics, and advanced analytical methods.

The NCAA Evaluation Tool (NET)

In 2018, the NCAA announced that the RPI would no longer be used in the Division I men's basketball selection process and would be replaced by the NCAA Evaluation Tool (NET). While scoring margin is included in the NET, teams receive no extra credit for wins by more than 10 points.

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Other Ranking Systems

Other ranking systems which include the margin of victory of games played or other statistics in addition to the win/loss results have been shown to be a better predictor of the outcomes of future games.

Scheduling Strategies and Their Impact

The structure of a team's schedule can significantly influence its RPI and overall ranking. Teams often employ strategic scheduling practices to maximize their chances of improving their RPI and securing a spot in the NCAA Tournament.

Scheduling Weaker Opponents

Teams from major conferences are allowed to pick many of their non-conference opponents (often blatantly weaker teams). Teams from minor conferences, however, may only get one or two such opponents in their schedules.

Scheduling Tougher Opponents

Some mid-major conferences regularly compel their member teams to schedule opponents ranked in the top half of the RPI, which could boost the strength of that conference and/or its tougher-scheduling teams. In basketball, the Missouri Valley Conference has successfully done this: It has become one of the top-rated RPI conferences, despite having very few of its teams ranked in the two national Top 25 polls.

The Importance of Inter-Regional Play

The goal of the ISR is to take advantage of inter-regional games more accurately than other systems.

Small-Ball Tactics vs. Power-Hitting Approach

For consistently strong programs, such as LSU and Florida, their power-hitting and elite pitching staffs are obvious sources of success. LSU’s dominant pitching staff and Florida’s powerful hitting lineup this past season positioned them well to advance through the NCAA tournament and compete in the 2023 College World Series. But for some of the smaller D1 programs that struggle to recruit elite talent and lack comparable resources, they have to adapt to alternative strategic approaches and maximize the strengths of their rosters to be competitive against top programs. Bunting and stealing tactics prove to be strategic tools that exploit specific matchups, capitalizing on the strengths and weaknesses of both the opposing pitcher and the defense of the opposing team. For instance, when facing a dominant pitcher with a high strikeout rate, a program can employ a bunting strategy to force the defense to make a play. Similarly, exploiting an opposing catcher with a weak arm through stolen bases becomes a strong weapon in generating more scoring opportunities.

The averages for bunt percentage and stolen base percentage across all Division 1 baseball are 3.1% and 7.8% respectively, and every team that had a bunt percentage above 3.1% or a stolen base percentage above 7.8% is highlighted in green. Likewise, the average for home runs per game was 1.13, and every team that averaged more than 1.13 home runs per game is highlighted in green.

As you can see in Table 1, home runs clearly play a huge part in generating runs and increasing a team’s RPI ranking, but this chart suggests that the teams that make the significant jumps in RPI rankings are the more “well-rounded” teams, often employing some sort of small-ball tactics in addition to their power-hitting approach. Take Kent State as an example: they jumped 150 spots in the RPI rankings from 198 at the beginning of the season to 48 at the end, and they were above average in all three statistics of Bunt %, SB %, and HR/G. By expanding the sample to analyze the 2022 and 2021 college baseball seasons, we see that the 2023 data resembles the patterns observed in 2022 and 2021. In both instances, programs employing bunting and stealing tactics showcased a positive relationship with a positive trajectory in RPI rankings. In the 2022 season (shown in Table 2), nine out of the eighteen teams making the leap from outside the top 55 in RPI to inside it exhibited above-average bunt or stolen base percentages. Just like in 2023, the well-rounded teams that can utilize both small-ball tactics as well as power-hitting strategies are the teams that jumped into the top 55 RPI rankings.

In 2022, the averages for bunt percentage and stolen base percentage across all Division 1 baseball are 3.01% and 7.57% respectively, and every team that had a bunt percentage above 3.01% or a stolen base percentage above 7.57% is highlighted in green in the chart above. The average for home runs per game was 1.02, and every team that averaged more than 1.02 home runs per game is also highlighted in green. As mentioned earlier, home runs play a huge part in generating runs and increasing a team’s RPI ranking, but this chart proves that over the past couple years (2021 to 2023), the teams that make the jump in RPI rankings are the more well-rounded teams, often employing some sort of small-ball tactics in addition to their power-hitting approach. We see the same trend when analyzing the 2021 season as well. A majority of the teams that jumped from outside the top 55 in RPI to inside the top 55 over the course of the season had a HR/G statistic that was above the Division 1 average of 0.87.

When analyzing the past three seasons, certain discernible trends have captured my attention. Primarily, the number of teams that jumped from outside the top 55 to inside the top 55 decreased from 2021 to 2023, as you can see by the fewer rows in Table 1 than in Table 3. While Florida, LSU and other premier programs in college baseball continue to dominate with their power-hitting and deep pockets, smaller programs have demonstrated that small-ball tactics can be a well-rounded approach to improve their RPI ranking. Small-ball tactics offer a way to level the playing field, maximize limited resources, put pressure on the opposition, exploit matchup opportunities, adapt to the changing nature of the game, and thrive on the big stage.

tags: #ncaa #baseball #strength #of #schedule #explained

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