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Georgia Tech Baseball
2022 Season
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<blockquote data-quote="gtrower" data-source="post: 870204" data-attributes="member: 375"><p>I get your point, but our opponent’s RPI isn’t what’s important when calculating our RPI. It’s their record that’s important. JSU was 8-6 so that’s a decent midweek opponent right now with lots of Top teams playing minnows with sub .500 records.</p><p></p><p>VT didn’t/doesn’t have a great RPI, but they were 10-1 going into our series which is what vaulted us to #1.</p><p></p><p>IIRC the basic RPI formula used to be:</p><p></p><p>(1/4) Your Win %</p><p>(1/2) Your schedule’s cumulative Win %</p><p>(1/4) You schedules’s schedule’s cumulative Win %</p><p></p><p>I don’t know if that’s the formula the Warren Nolan site is using, but I assume it’s something close to that. And you can see the major component is opponent win %. So this early in the season it’s actually better to lose to a team with a good record than to pound a team with a bad record. Later in the season the last two components are more stagnant as the sample size is so much larger - that’s when your own Win/Losses affect the RPI more because your own Win % is a lot more volatile with the smaller sample size.</p></blockquote><p></p>
[QUOTE="gtrower, post: 870204, member: 375"] I get your point, but our opponent’s RPI isn’t what’s important when calculating our RPI. It’s their record that’s important. JSU was 8-6 so that’s a decent midweek opponent right now with lots of Top teams playing minnows with sub .500 records. VT didn’t/doesn’t have a great RPI, but they were 10-1 going into our series which is what vaulted us to #1. IIRC the basic RPI formula used to be: (1/4) Your Win % (1/2) Your schedule’s cumulative Win % (1/4) You schedules’s schedule’s cumulative Win % I don’t know if that’s the formula the Warren Nolan site is using, but I assume it’s something close to that. And you can see the major component is opponent win %. So this early in the season it’s actually better to lose to a team with a good record than to pound a team with a bad record. Later in the season the last two components are more stagnant as the sample size is so much larger - that’s when your own Win/Losses affect the RPI more because your own Win % is a lot more volatile with the smaller sample size. [/QUOTE]
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