The leader in not a big surprise nor are most of the rest. But two guys might be. They are both in red because neither is in the Hall of Fame
1 Cy Young 1891-09 19
2 Warren Spahn 1947-63 17
3 Gaylord Perry 1966-80 15
4 Christy Mathewson 1901-14 14
T5 Tom Seaver 1967-79 13
T5 Steve Carlton 1968-80 13
T5 Phil Niekro 1968-80 13
T8 Robin Roberts 1949-60 12
T8 Mickey Lolich 1964-75 12
T8 Don Sutton 1969-80 12
T8 Mark Buehrle 2001-12 12
Wednesday, July 31, 2013
Monday, July 29, 2013
How Well Do OPS And wOBA Predict Team Runs?
Looking at the years 2007-2012, about the same. I used wOBA from Fangraphs. Some details on wOBA are provided at the end of this post.
For 2010-2012, here are the correlations between each stat and team runs per game (so that is 90 teams/seasons)
OPS: 0.95277
wOBA: 0.95058
This surprised me. wOBA definitely looks like it should do better than OPS since OPS is just OBP + SLG and OBP should get a bigger weight. wOBA is fairly sophisticated, providing a different run value for several different events.
In regressions, here are the standard errors on runs per game from each stat
OPS: 0.1364174
wOBA: 0.1394665
OPS is lower, so it is slightly more accurate.
Since OPS doing a bit better is not what I expected, I looked at the years 2007-09 as well, and the results were just about the same, with OPS coming out on top by a very slim margin. Maybe I did something wrong, so if anone else has done analysis like this and got something different, please let me know.
1.8*OBP + SLG is said to be a good approximation of wOBA. The funny thing is that when I compared 1.8*OBP + SLG to OPS, OPS came in second. See OPS vs. 1.8*OBP + SLG, so I certainly expected wOBA to do better here.
Update July 30, 10:57 amd central time: I used the years 2003-2012. So that is 300 team seasons. Here are the correlations between each stat and team runs per game:
OPS: 0.95584
wOBA: 0.952973
1.8*OBP + SLG: 0.95714
So 1.8*OBP + SLG is better than wOBA. Not what I expected.
There is an interesting discussion of issues like this at Tom Tango's site. See wOBA v Runs / PA, 2003-2012, Team Offense
Here is what Fangraphs says about wOBA, pasted from their site:
"Weighted On-Base Average combines all the different aspects of hitting into one metric, weighting each of them in proportion to their actual run value. While batting average, on-base percentage, and slugging percentage fall short in accuracy and scope, wOBA measures and captures offensive value more accurately and comprehensively.
The wOBA formula for the 2012 season was:
These weights change on a yearly basis, so you can find the specific wOBA weights for every year from 1871 to 2010 here."
For 2010-2012, here are the correlations between each stat and team runs per game (so that is 90 teams/seasons)
OPS: 0.95277
wOBA: 0.95058
This surprised me. wOBA definitely looks like it should do better than OPS since OPS is just OBP + SLG and OBP should get a bigger weight. wOBA is fairly sophisticated, providing a different run value for several different events.
In regressions, here are the standard errors on runs per game from each stat
OPS: 0.1364174
wOBA: 0.1394665
OPS is lower, so it is slightly more accurate.
Since OPS doing a bit better is not what I expected, I looked at the years 2007-09 as well, and the results were just about the same, with OPS coming out on top by a very slim margin. Maybe I did something wrong, so if anone else has done analysis like this and got something different, please let me know.
1.8*OBP + SLG is said to be a good approximation of wOBA. The funny thing is that when I compared 1.8*OBP + SLG to OPS, OPS came in second. See OPS vs. 1.8*OBP + SLG, so I certainly expected wOBA to do better here.
Update July 30, 10:57 amd central time: I used the years 2003-2012. So that is 300 team seasons. Here are the correlations between each stat and team runs per game:
OPS: 0.95584
wOBA: 0.952973
1.8*OBP + SLG: 0.95714
So 1.8*OBP + SLG is better than wOBA. Not what I expected.
There is an interesting discussion of issues like this at Tom Tango's site. See wOBA v Runs / PA, 2003-2012, Team Offense
Here is what Fangraphs says about wOBA, pasted from their site:
"Weighted On-Base Average combines all the different aspects of hitting into one metric, weighting each of them in proportion to their actual run value. While batting average, on-base percentage, and slugging percentage fall short in accuracy and scope, wOBA measures and captures offensive value more accurately and comprehensively.
The wOBA formula for the 2012 season was:
wOBA = (0.691×uBB + 0.722×HBP + 0.884×1B + 1.257×2B + 1.593×3B +
2.058×HR) / (AB + BB – IBB + SF + HBP)
2.058×HR) / (AB + BB – IBB + SF + HBP)
Sunday, July 28, 2013
Teams Having At Least 3 Straight Seasons With A Winning Percentage Under .350
With their loss today, the Astros have a .337 pct. It was .346 in 2011 and .340 in 2012. So they might end up with 3 years in a row under .350. Not many teams have done this. The last to do it was the Mets, 1962-65 (I called up all the teams that had a pct. < .350 using the Lee Sinins Complete Encyclopedia and then pieced togther the ones that had 3 or more in a row-if anyone knows of a team I missed, let me know).
Even if we looked for teams with a pct < .375, the last to do it was the Blue Jays, 1977-79 with .335, .366, and .327. So the Astros are performing at the level of new expansion team these past 3 years.
Here the teams I found with 3 years in a row under .350. The team called the Washington Nationals is defunct. Retrosheet calls them the Nationals and Baseball Reference calls them the Senators.
Even if we looked for teams with a pct < .375, the last to do it was the Blue Jays, 1977-79 with .335, .366, and .327. So the Astros are performing at the level of new expansion team these past 3 years.
Here the teams I found with 3 years in a row under .350. The team called the Washington Nationals is defunct. Retrosheet calls them the Nationals and Baseball Reference calls them the Senators.
Team
|
YEAR
|
PCT
|
A's
|
1919
|
0.257
|
A's
|
1920
|
0.312
|
A's
|
1921
|
0.346
|
Braves
|
1909
|
0.294
|
Braves
|
1910
|
0.346
|
Braves
|
1911
|
0.291
|
Braves
|
1912
|
0.340
|
Browns
|
1910
|
0.305
|
Browns
|
1911
|
0.296
|
Browns
|
1912
|
0.344
|
Stl. Browns (now
Cards)
|
1895
|
0.298
|
Stl. Browns (now
Cards)
|
1896
|
0.308
|
Stl. Browns (now
Cards)
|
1897
|
0.221
|
Stl. Browns (now
Cards)
|
1898
|
0.260
|
Cardinals
|
1906
|
0.347
|
Cardinals
|
1907
|
0.340
|
Cardinals
|
1908
|
0.318
|
Mets
|
1962
|
0.250
|
Mets
|
1963
|
0.315
|
Mets
|
1964
|
0.327
|
Mets
|
1965
|
0.309
|
Phillies
|
1938
|
0.300
|
Phillies
|
1939
|
0.298
|
Phillies
|
1940
|
0.327
|
Phillies
|
1941
|
0.279
|
Phillies
|
1942
|
0.278
|
Pirates
|
1952
|
0.273
|
Pirates
|
1953
|
0.325
|
Pirates
|
1954
|
0.344
|
Red Sox
|
1925
|
0.309
|
Red Sox
|
1926
|
0.301
|
Red Sox
|
1927
|
0.331
|
Washington Nationals
|
1893
|
0.310
|
Washington Nationals
|
1894
|
0.344
|
Washington Nationals
|
1895
|
0.336
|
Louisville Colonels
|
1894
|
0.271
|
Louisville Colonels
|
1895
|
0.269
|
Louisville Colonels
|
1896
|
0.290
|
Saturday, July 27, 2013
Astros Last Or Almost Last In Several Categories
Last in ERA+ with 84. Next lowest is Seattle, with 89.
Last in ERA with 4.96. Next highest is Toronto with 4.35. League average is 4.06
Last in runs per game allowed with 5.37. Next highest is Toronto with 4.84
Last in SO/BB ratio with 1.82. Next lowest is Minnesota at 2.08. League average is 2.51
About tied for last in walks per 9 IP with Cleveland at 3.7. League average is 3.0
13th in SO per 9 IP with 6.8. League average is 7.6
Last in HRs allowed per IP with 1.3. League average is 1.1. Ball park probably hurts. HR park factor of 1.06 from 2010-12. So it allows 6% more HRs. Yet Astros allow 18% more than average.
Last in hits per 9 IP with 9.8. League average is 8.8
Last in WHIP with 1.518. League average is 1.315.
Last in defensive efficiency rating (DER) .672. Next lowest is Detroit with .680. League average is .691
Last in fielding pct with .980. League average is .985. Detroit is 6th in (DER)
Next to last in OPS+ with 84. White Sox are last with 83.
Last in OPS with .669. Next lowest is NY with .678. League average is .727
Most strikeouts with 947. Next highest is Seattle with 853. League average is 761
12th in walks with 264. Baltimore is last with 250. League average is 313.87
Last in runs per game with 3.75. League average is 4.37
Last in TB with 1269 (tied with KC). League average is 1421.67
Next to last in SLG with .374 (NY has .371) League average is .407
Last in OBP with .295. White Sox are next with .303. League average is .320
Last in AVG with .235. NY, Sea, Oak, Min all have .243. League average is .256
Just about average in SBs with 59 (58 is avg). But most CS with 33. Pct is 64%. League average is 73.4%. Minn is last with 62%
Somehow they are just average at grounding into DPs. 11% of the chances
Their position players comine for a WAR of 2.3 and their pitchers have 1.7. So I guess they are just 4 wins above replacement.
One way to judge speed is 3B/(2B + 3B). It is an idea from Voros McCracken. The idea is that you need to be fast to turn extra base hits into 3Bs. Astors have .057 while the league average is .075. Astros are 12th. Seattle is last with .044
Last in ERA with 4.96. Next highest is Toronto with 4.35. League average is 4.06
Last in runs per game allowed with 5.37. Next highest is Toronto with 4.84
Last in SO/BB ratio with 1.82. Next lowest is Minnesota at 2.08. League average is 2.51
About tied for last in walks per 9 IP with Cleveland at 3.7. League average is 3.0
13th in SO per 9 IP with 6.8. League average is 7.6
Last in HRs allowed per IP with 1.3. League average is 1.1. Ball park probably hurts. HR park factor of 1.06 from 2010-12. So it allows 6% more HRs. Yet Astros allow 18% more than average.
Last in hits per 9 IP with 9.8. League average is 8.8
Last in WHIP with 1.518. League average is 1.315.
Last in defensive efficiency rating (DER) .672. Next lowest is Detroit with .680. League average is .691
Last in fielding pct with .980. League average is .985. Detroit is 6th in (DER)
Next to last in OPS+ with 84. White Sox are last with 83.
Last in OPS with .669. Next lowest is NY with .678. League average is .727
Most strikeouts with 947. Next highest is Seattle with 853. League average is 761
12th in walks with 264. Baltimore is last with 250. League average is 313.87
Last in runs per game with 3.75. League average is 4.37
Last in TB with 1269 (tied with KC). League average is 1421.67
Next to last in SLG with .374 (NY has .371) League average is .407
Last in OBP with .295. White Sox are next with .303. League average is .320
Last in AVG with .235. NY, Sea, Oak, Min all have .243. League average is .256
Just about average in SBs with 59 (58 is avg). But most CS with 33. Pct is 64%. League average is 73.4%. Minn is last with 62%
Somehow they are just average at grounding into DPs. 11% of the chances
Their position players comine for a WAR of 2.3 and their pitchers have 1.7. So I guess they are just 4 wins above replacement.
One way to judge speed is 3B/(2B + 3B). It is an idea from Voros McCracken. The idea is that you need to be fast to turn extra base hits into 3Bs. Astors have .057 while the league average is .075. Astros are 12th. Seattle is last with .044
Friday, July 26, 2013
Clutch Base Stealing
Here is a link to a study I did in 2006
http://www.beyondtheboxscore.com/2006/7/29/181346/885
The tables are not showing. Here are links to them in the order they appear
http://cyrilmorong.com/MorongStealing1.GIF
http://cyrilmorong.com/MorongStealing2.GIF
http://cyrilmorong.com/MorongStealing3.GIF
http://cyrilmorong.com/MorongStealing4.GIF
James Gentile has a recent post on this topcic at
http://www.hardballtimes.com/main/article/stealing-bases-when-it-counts/
Here is a discussion of the topic at Tango's site from a few years ago
http://www.insidethebook.com/ee/index.php/site/comments/stealing_in_high_leverage_situations/
http://www.beyondtheboxscore.com/2006/7/29/181346/885
The tables are not showing. Here are links to them in the order they appear
http://cyrilmorong.com/MorongStealing1.GIF
http://cyrilmorong.com/MorongStealing2.GIF
http://cyrilmorong.com/MorongStealing3.GIF
http://cyrilmorong.com/MorongStealing4.GIF
James Gentile has a recent post on this topcic at
http://www.hardballtimes.com/main/article/stealing-bases-when-it-counts/
Here is a discussion of the topic at Tango's site from a few years ago
http://www.insidethebook.com/ee/index.php/site/comments/stealing_in_high_leverage_situations/
Thursday, July 25, 2013
WAR Leaders At Ages 19 & 20 Combined Among Position Players
Harper has a WAR of 1.5 in 63 games this year. If he plays the rest of the season and gets 1.5 more, he would reach 8.2. Machado has 4.8 in 102 games this year. If gets 2.4 more this year he would be at 8.8. Maybe three of the greatest young players ever are out there right now.
Rk
|
Player
|
WAR
|
From
|
To
|
G
|
1
|
Mike Trout
|
11.6
|
2011
|
2012
|
179
|
2
|
Mel Ott
|
11.3
|
1928
|
1929
|
274
|
3
|
Al Kaline
|
9.4
|
1954
|
1955
|
290
|
4
|
Ty Cobb
|
9.3
|
1906
|
1907
|
248
|
5
|
Alex Rodriguez
|
8.9
|
1995
|
1996
|
194
|
6
|
Ken Griffey
|
8.4
|
1989
|
1990
|
282
|
7
|
Mickey Mantle
|
7.8
|
1951
|
1952
|
238
|
8
|
Vada Pinson
|
6.7
|
1958
|
1959
|
181
|
9
|
Bryce Harper
|
6.7
|
2012
|
2013
|
202
|
10
|
Ted Williams
|
6.7
|
1939
|
1939
|
149
|
11
|
Frank Robinson
|
6.5
|
1956
|
1956
|
152
|
12
|
Manny Machado
|
6.4
|
2012
|
2013
|
153
|
13
|
Jason Heyward
|
6.4
|
2010
|
2010
|
142
|
14
|
Sherry Magee
|
6.4
|
1904
|
1905
|
250
|
15
|
Claudell Washington
|
6.1
|
1974
|
1975
|
221
|
16
|
Travis Jackson
|
6.1
|
1923
|
1924
|
247
|
17
|
Jimmie Foxx
|
5.6
|
1927
|
1928
|
179
|
18
|
Tony Conigliaro
|
5
|
1964
|
1965
|
249
|
19
|
Jimmy Sheckard
|
5
|
1898
|
1899
|
252
|
20
|
George Davis
|
4.9
|
1890
|
1891
|
272
|
21
|
Buddy Lewis
|
4.9
|
1936
|
1937
|
299
|
22
|
John McGraw
|
4.9
|
1892
|
1893
|
206
|
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