TyHolden said:

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W said:

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Nebraska didn't play UCLA

which hurts the perception of their season a bit

the Huskers top 3 series wins:

#8 USC
#52 Michigan
#62 Iowa

it seems like the B1G did some RPI gaming this year...

to have 4 teams in the top 20 and 3 of them have underwhelming resumes

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Is the RPI algorithm public?

---

Yes.

RPI = (0.25 Team's Adjusted Winning Percentage) + (0.50 Opponents' Winning Percentage) + (0.25 Opponents' Opponents' Winning Percentage)

where

• Only games against Division I opponents count.
• Team's Winning Percentage (WP) is adjusted for home/road/neutral games.
• Opponents' Winning Percentage (OWP) averages the WP of all opponents (excluding games vs. the team in question).
• Opponents' Opponents' Winning Percentage (OOWP) measures the strength of those opponents' schedules.

Baseball-Specific Adjustments:

• Home win = 0.7 (counts less)
• Road win = 1.3 (counts more)
• Home loss = 1.3 (hurts more)
• Road loss = 0.7 (hurts less)
• Neutral-site games = 1.0

The formula itself is easy. The issue with predicting outcomes is that your own winning percentage, your opponents, and even opponents' opponents also count. Again, it's easy to model a few games but you can see where the number of combinations gets really deep very quickly for a given weekend.

RED AG 98 said:

---

TyHolden said:

---

W said:

---

Nebraska didn't play UCLA

which hurts the perception of their season a bit

the Huskers top 3 series wins:

#8 USC
#52 Michigan
#62 Iowa

it seems like the B1G did some RPI gaming this year...

to have 4 teams in the top 20 and 3 of them have underwhelming resumes

---

Is the RPI algorithm public?

---

Yes.

RPI = (0.25 Team's Adjusted Winning Percentage) + (0.50 Opponents' Winning Percentage) + (0.25 Opponents' Opponents' Winning Percentage)

where

• Only games against Division I opponents count.
• Team's Winning Percentage (WP) is adjusted for home/road/neutral games.
• Opponents' Winning Percentage (OWP) averages the WP of all opponents (excluding games vs. the team in question).
• Opponents' Opponents' Winning Percentage (OOWP) measures the strength of those opponents' schedules.

Baseball-Specific Adjustments:

• Home win = 0.7 (counts less)
• Road win = 1.3 (counts more)
• Home loss = 1.3 (hurts more)
• Road loss = 0.7 (hurts less)
• Neutral-site games = 1.0

The formula itself is easy. The issue with predicting outcomes is that your own winning percentage, your opponents, and even opponents' opponents also count. Again, it's easy to model a few games but you can see where the number of combinations gets really deep very quickly for a given weekend.

---

is the code open source? I bet they have several If-then statements for tu....

TyHolden said:

---

RED AG 98 said:

---

TyHolden said:

---

W said:

---

Nebraska didn't play UCLA

which hurts the perception of their season a bit

the Huskers top 3 series wins:

#8 USC
#52 Michigan
#62 Iowa

it seems like the B1G did some RPI gaming this year...

to have 4 teams in the top 20 and 3 of them have underwhelming resumes

---

Is the RPI algorithm public?

---

Yes.

RPI = (0.25 Team's Adjusted Winning Percentage) + (0.50 Opponents' Winning Percentage) + (0.25 Opponents' Opponents' Winning Percentage)

where

• Only games against Division I opponents count.
• Team's Winning Percentage (WP) is adjusted for home/road/neutral games.
• Opponents' Winning Percentage (OWP) averages the WP of all opponents (excluding games vs. the team in question).
• Opponents' Opponents' Winning Percentage (OOWP) measures the strength of those opponents' schedules.

Baseball-Specific Adjustments:

• Home win = 0.7 (counts less)
• Road win = 1.3 (counts more)
• Home loss = 1.3 (hurts more)
• Road loss = 0.7 (hurts less)
• Neutral-site games = 1.0

The formula itself is easy. The issue with predicting outcomes is that your own winning percentage, your opponents, and even opponents' opponents also count. Again, it's easy to model a few games but you can see where the number of combinations gets really deep very quickly for a given weekend.

---

is the code open source? I bet they have several If-then statements for tu....

---

That Boyd and Nolan produce numbers within thousandths of each other and the NCAA suggests no tinfoil hat is necessary in this instance.

RED AG 98 said:

---

TyHolden said:

---

RED AG 98 said:

---

TyHolden said:

---

W said:

---

Nebraska didn't play UCLA

which hurts the perception of their season a bit

the Huskers top 3 series wins:

#8 USC
#52 Michigan
#62 Iowa

it seems like the B1G did some RPI gaming this year...

to have 4 teams in the top 20 and 3 of them have underwhelming resumes

---

Is the RPI algorithm public?

---

Yes.

RPI = (0.25 Team's Adjusted Winning Percentage) + (0.50 Opponents' Winning Percentage) + (0.25 Opponents' Opponents' Winning Percentage)

where

• Only games against Division I opponents count.
• Team's Winning Percentage (WP) is adjusted for home/road/neutral games.
• Opponents' Winning Percentage (OWP) averages the WP of all opponents (excluding games vs. the team in question).
• Opponents' Opponents' Winning Percentage (OOWP) measures the strength of those opponents' schedules.

Baseball-Specific Adjustments:

• Home win = 0.7 (counts less)
• Road win = 1.3 (counts more)
• Home loss = 1.3 (hurts more)
• Road loss = 0.7 (hurts less)
• Neutral-site games = 1.0

The formula itself is easy. The issue with predicting outcomes is that your own winning percentage, your opponents, and even opponents' opponents also count. Again, it's easy to model a few games but you can see where the number of combinations gets really deep very quickly for a given weekend.

---

is the code open source? I bet they have several If-then statements for tu....

---

That Boyd and Nolan produce numbers within thousandths of each other and the NCAA suggests no tinfoil hat is necessary in this instance.

---

that's what they said about covid...I'd rather see the code.

CrawlingNo5 said:

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dixichkn said:

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And don't think that them getting handed Mizzou at home the last weekend was just some happy accident. Basically zero chance they wouldn't sweep. Nice little get right series to end the year just in case things had gone sideways for them this year (which it hasn't)

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We were gifted that same scenario last year, no? And we just said f it, let's lose all 3.

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Was it THE last weekend of the regular season? Don't think it was but could be wrong

Worst choke job in A&M baseball history though IMO

Jeebus this site is full of insane conspiracy theorists

pretty sure it's just his schtick

RED AG 98 said:

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pretty sure it's just his schtick

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We're bringing back the Q thread!!!

so in conference play...the Ags ended up playing:

1st place team - UGA
2nd place - t.u.
4th place tied - Florida
6th place tied - Auburn
8th place - State
9th place tied - Ole Miss
11th place tied - OU
11th place tied - Vandy
14th place - LSU
16th place - Missouri

and for the conspiracy theorists...

the sips ended up playing:

3rd place team - A&M
4th place tied - Alabama
6th place tied - Auburn
8th place - State
9th place tied - Ole Miss
9th place tied - Tennessee
11th place tied - OU
11th place tied - Vandy
15th place - South Carolina
16th place - Missouri

you know...it was an easier schedule