River Cities Leads Series 3-1.
Box Score
Game Log
Game 5: Sunday night.
Saturday, August 12, 2006
Thursday, August 10, 2006
Pitching in the Playoffs
Has anyone noticed the subpar pitching out of starters in the Series so far? Here's the game scores from each starter through Game Three:
Pitcher Game Score Game
Garcia (SEA) 56 1
Okane (RIV) 54 2
Bird (SEA) 44 2
Wheeler (RIV) 35 1
Icenhour (SEA) 31 3
Orozco (RIV) 29 3
Oofah, not a stellar start in the bunch. Garcia and Okane rate an 'acceptable' with a 56 and 54, respectively, but it's not Roger Clemens by any means.
So far the run differential slightly favors River Cities at 21-18. That's an average score of 7-6 over the three games.
Truly, a battle of offense so far. Who's going to get that one great performance out of a starting pitcher? Only the future will tell.
Pitcher Game Score Game
Garcia (SEA) 56 1
Okane (RIV) 54 2
Bird (SEA) 44 2
Wheeler (RIV) 35 1
Icenhour (SEA) 31 3
Orozco (RIV) 29 3
Oofah, not a stellar start in the bunch. Garcia and Okane rate an 'acceptable' with a 56 and 54, respectively, but it's not Roger Clemens by any means.
So far the run differential slightly favors River Cities at 21-18. That's an average score of 7-6 over the three games.
Truly, a battle of offense so far. Who's going to get that one great performance out of a starting pitcher? Only the future will tell.
Wednesday, August 9, 2006
Game 3 to River Cities in Squeaker
Random fact of the day
Most people are familiar with the so-called Pythagorean theorum for baseball - that winning percentage will be roughly equal to runs squared divided by the sum of runs squared and runs allowed squared. The game even automatically tracks of Pythagorean records and includes them in the standings report. (Incidentally, River Cities' Pythagorean record this year of 110-52 is the highest in SDMB OOTP history. One more reason I'm destined to experience heartbreak again.)
Anyway, using my handy dandy Excel spreadsheet, I found that using 2 as the exponent in the formula is not as accurate as it could be. For our game, the most accurate exponent to use is 1.62. In other words, the most accurate formula is runs to the power of 1.62 divided by the sum of runs to the power of 1.62 and runs allowed to the power of 1.62. This reduces the cumulative "error" between Pythagorean records and actual records by about 17%.
As the title indicates, this is purely a random fact. But, using the traditional Pythagorean formula has, on the whole, overestimated the quality of good teams and underestimated the quality of bad teams.
By the way, the team that most underperformed compared to this standard is 2005 Austin/Covington, who lost 11.5 games more than they should have, and the team that most overperformed is the 2005 Seattle team, who won 10 more games than they should have.
Anyway, using my handy dandy Excel spreadsheet, I found that using 2 as the exponent in the formula is not as accurate as it could be. For our game, the most accurate exponent to use is 1.62. In other words, the most accurate formula is runs to the power of 1.62 divided by the sum of runs to the power of 1.62 and runs allowed to the power of 1.62. This reduces the cumulative "error" between Pythagorean records and actual records by about 17%.
As the title indicates, this is purely a random fact. But, using the traditional Pythagorean formula has, on the whole, overestimated the quality of good teams and underestimated the quality of bad teams.
By the way, the team that most underperformed compared to this standard is 2005 Austin/Covington, who lost 11.5 games more than they should have, and the team that most overperformed is the 2005 Seattle team, who won 10 more games than they should have.
Tuesday, August 8, 2006
Game 2 - River Cities Clobbers Seattle!
Monday, August 7, 2006
SDMB History / Cumulative Record
I've now added the final 2008 stats into my spreadsheet, hopefully to enable me to gain a crushing advantage over all of you. [evil maniacal laughter] Bwaa haa haa haa haa. [/evil maniacal laughter]
Anyway, here's the cumulative records of the franchises from 2002-2008, ranked by winning percentage.
1. South Bay, 683-451, 0.602 (98-64, 0 GB)
2. Seattle, 663-471, 0.585 (95-67, 3 GB)
3. Saskatoon, 614-520 0.541 (88-74, 10 GB)
4. Brooklyn, 607-527, 0.535 (87-75, 11 GB)
5. River Cities, 606-528, 0.534 (87-75, 11 GB)
6. New York, 400-410, 0.494 (80-82, 18 GB)
7. Houston, 554-580, 0.489 (79-83, 19 GB)
8. Danville, 550-584, 0.485 (79-83, 19 GB)
9. Walla Walla, 527-607, 0.465 (75-87, 23 GB)
10. Hickory, 331-479, 0.409 (66-96, 32 GB)
11. Covington, 312-498, 0.385 (62-100, 36 GB)
12. Denver, 309-501, 0.381 (62-100, 36 GB)
I added what the cumulative winning percentage equates to in a 162-game season and how many games back each franchise would be.
It does appear that Michael has the greatest SDMB team, which I guess we could have expected. Sigh. I also think that this shows how hard it's been for the four expansion teams to compete (although New York has done a pretty impressive job). I expect the expansion teams' records to start changing over the next couple of years, as some of the very best young players are in those systems.
- Mack
Aside: I have all kinds of pitching, batting, and fielding stats from 2003-08 at my fingertips as well. I'll post some of the more interesting ones on the blog here when I'm procrastinating. But, if anyone has any questions, feel free to drop them into a comment in this or a later post and I'll be happy to answer them. Example random fact: Brooklyn's franchise has the most home runs in history (1176 over the six years of 2003-08), as well as the two seasons with the most in a year (218 in 2003 and 215 in 2007).
Anyway, here's the cumulative records of the franchises from 2002-2008, ranked by winning percentage.
1. South Bay, 683-451, 0.602 (98-64, 0 GB)
2. Seattle, 663-471, 0.585 (95-67, 3 GB)
3. Saskatoon, 614-520 0.541 (88-74, 10 GB)
4. Brooklyn, 607-527, 0.535 (87-75, 11 GB)
5. River Cities, 606-528, 0.534 (87-75, 11 GB)
6. New York, 400-410, 0.494 (80-82, 18 GB)
7. Houston, 554-580, 0.489 (79-83, 19 GB)
8. Danville, 550-584, 0.485 (79-83, 19 GB)
9. Walla Walla, 527-607, 0.465 (75-87, 23 GB)
10. Hickory, 331-479, 0.409 (66-96, 32 GB)
11. Covington, 312-498, 0.385 (62-100, 36 GB)
12. Denver, 309-501, 0.381 (62-100, 36 GB)
I added what the cumulative winning percentage equates to in a 162-game season and how many games back each franchise would be.
It does appear that Michael has the greatest SDMB team, which I guess we could have expected. Sigh. I also think that this shows how hard it's been for the four expansion teams to compete (although New York has done a pretty impressive job). I expect the expansion teams' records to start changing over the next couple of years, as some of the very best young players are in those systems.
- Mack
Aside: I have all kinds of pitching, batting, and fielding stats from 2003-08 at my fingertips as well. I'll post some of the more interesting ones on the blog here when I'm procrastinating. But, if anyone has any questions, feel free to drop them into a comment in this or a later post and I'll be happy to answer them. Example random fact: Brooklyn's franchise has the most home runs in history (1176 over the six years of 2003-08), as well as the two seasons with the most in a year (218 in 2003 and 215 in 2007).
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