NEW: AnkitDB 5.2 Released!!!

Ankit · 01-23-2005, 10:04 PM

Extra! Extra! Read all about it!

My latest DB based on Lahman 5.2 has now been released. You can download it here: http://www.baseballmaelstrom.com/ankit/AnkitDB52.zip

A lot of things have been changed, including players debuting when they originally debuted. Changes are as above:

Changes I made to Lahman DB 5.2 to create AnkitDB 5.2:
================================================== ====

There are lot of changes listed below but keep in mind that when you do
historical sims, the results will be accurate, with one difference. The
ERAs of pitchers in the Dead Ball will be slightly higher than they
were in real life, but not too much. Everything else will be completely
in line, including stolen bases. Instructions for using this DB are in
a text file called "How To Use This.txt", included in the zip file.

Enjoy!

Note: Fielding Range, Arm, and PB ratings in OOTP are assigned
randmomly. They have nothing to do with the DB, either this one or the
original Lahman DB. Also, if you need additional help in figuring out
how to do historical sims accurately with this DB, let me know.

If you have any comments or suggestions or criticisms, I can be reached
at ankitpayal@hotmail.com

Ankit Desai
01/23/2005

MINOR CHANGES
-------------
01. Removed entries for those that never played.

02. Added debut dates for players missing them.

03. Removed the players who did not play a position; just had a few
pinch hit appearances.

04. Removed all batters who debuted prior to 2003 and had less than 100
career at-bats.

05. Removed all pitchers who debuted prior to 2003 and had less than
33.1 career IP.

06. Removed all players who never played in the NL or AL, post-1900.

07. Removed all players who debuted in 2003 or 2004 and had less than
40 career at-bats.

08. Removed all pitchers who debuted in 2003 or 2004 and had less than
10 career IP.

09. Removed all non-pitcher fielding entries for pitchers, provided
they played less than 60 games total at other positions.

10. Removed pitching related entries for position players from both
pitching and fielding files, if they pitched fewer than 300 innings
total. Eight players were still left, see Change #14 for more.

MAJOR CHANGES
-------------

11. Added strikeouts for the following players: anyone who played in
the AL from 1901 to 1912 and anyone who played in the NL from 1897
to 1909. Previously, players had 0 for strikeouts because the data
was unavailable. I analyzed strikeouts by batters from 1913 to 1920
and have made it so that good hitters strikeout less while poor
hitters strikeout a lot more often.

12. Deleted all stats prior to 1895 and also all Federal League stats.
The reason for this is that the level of competition in the Federal
League was not up to par with the NL/AL and if anything stats from
that league need to be discounted. Prior to 1894, there were a lot
of rules that are vastly different from the modern game, for
example, 50 feet between the mound and the plate, calling for where
the pitch should be thrown by batters, etc.

13. Caught Stealing data for players from 1895 to 1950 was available
for some players but not for most. I recalculated and added CS
numbers based on available data from 1951 - 1992. This will lead
to better assignment of speed and stealing ability ratings.

14. Separated careers of eight players who pitched and were a position
player for substantial amount of time. A list of those 8 players is
at the end of this file. The reason for the separation is that
OOTP 6 does not assign talent ratings on the hitting side if you
are a pitcher and vice-versa. As a result, if Babe Ruth is imported
in 1914, 1915, 1916, or 1917, he will import as a Pitcher and will
have talent ratings for his pitching skills. However, his batting
talents will be what is assigned to all pitchers--1 for everything,
except avoiding Ks, it is 105. Obviously this problem had to be
solved somehow. I know there are some who don't like this solution
but this is the only way OOTP 6 will make this situation work.

15. Standardized batting stats to a 790-run environment using a method
devised by Bill James. He uses this in his "The New Bill James
Historical Abstract" to understand a player's batting ability
in a more normal context. For example, if a player hits .238, with
10 HRs and 57 RBI while playing a pitcher's park and where runs are
hard to come by. Is this player any better than another player who
hits .265 with 12 HRs and 72 RBI? The player in question is Willie
Davis in 1965, where runs were at a premium and he played in
pitcher friendly Dodgers Stadium. The .265/12/72 RBI are Willie's
stats standardized were he playing in an average park and where the
league as a whole would score about 750 runs per season. I moved
this to 790 to more closely reflect the scoring rate over the past
10 years and also because OOTP 6's engine understands this better.
The reason I chose to do this is because OOTP's engine does not
compensate for stats under different eras and as a result, will
assign ratings that are somewhat misleading. If you want to read
more about it, see page 740 (Willie Davis comment) in James' book.
If you don't understand why I did this or what effect this has on
the game, then feel free to e-mail me or post questions to me in
the OOTP forums. I did this to everyone, including pitchers.

16. The fielding information for all players is now based on career
averages. If a player played at least 1% of his career games at a
position, he will be rated for that position.

17. Career averages for games played at an OF position in the
FieldingOF.csv file.

18. Batting stats for pitchers are now based on career totals, per 500
at-bats. All seasons will have these stats as OOTP 6 does not model
pitcher's hitting abilities, so different numbers are useless.

19. Batting stats for position players are now based on career totals,
per 500 at-bats. All seasons, except the rookie season, will have
these stats. For their rookie season, they keep their original
stats if they had over 500 at-bats. If they had less, then the
numbers are 75% of their per-500 at-bats ratios. For example:

Barry Bonds' Career Averages per 500 at-bats:
159 H, 33 2B, 4 3B, 41 HR, 30 SB, 8 CS, 134 BB, 76 K, .318 Avg

His Rookie season, when he had less than 500 ABs:
119 H, 25 2B, 3 3B, 31 HR, 30 SB, 8 CS, 101 BB, 95 K, .238 Avg

His H, 2B, 3B, and BB are 75% of his career average. His SB and CS
remain the same. His K's are 125% of his career average.

20. Pitching stats are now based on a pitcher's performance relative to
the league and the year, taking their park factor in to account.
They were then totalled for their career and then based on a
standard universe in which pitchers struck out 6.5 per 9 IP, walked
3.5 per 9 IP, etc. These ratios are the MLB ratios for the past 10
years and thus what the OOTP's engine is best designed for. In
short, I did something similar to the pitchers like I did to the
batters, which is explained above in #15.

21. Batting and Pitching stats are now a players career average except
for their rookie season, in which case it is this:
For a pitcher: if a pitcher pitched at least 150 IP, he retains
those stats, else they are 15% worse than their career average.
For a position player: if they had at least 400 AB, they keep their
stats, else they are 15% worse than their career averages.
This allows for player development yet at the same time limits
some of the problems inherent in OOTP's development model (young
players not developing their power or contact rating fast enough).

================================================== =====================

The duplicate players:

playerID Pos G Name Career
-----------------------------------------------------------------------
bressru01 OF Rube Bressler 1919,1921-1932
bressra01 P 107 Ray Bressler 1914-1920

callani01 OF Nixey Callahan 1897,1902-1913
callaja01 P 195 James Callahan 1897-1902

coonejo01 OF Johnny Cooney 1935-1944
coonejo02 P 159 John Cooney 1921-1930

jeffcha01 OF Hal Jeffcoat 1948-1953
jeffcha02 P 245 Harold Jeffcoat 1954-1959

russere01 P Reb Russell 1913-1919
russeew01 OF 138 Ewell Russell 1922-1923

ruthba01 OF Babe Ruth 1918-1935
ruthge01 P 163 George Ruth 1914-1919

woodjo02 OF Joe Wood 1918-1922
woodsm01 P 225 Smokey Joe Wood 1908-1917

yeagejo01 3B Joe Yeager 1899-1908
yeagejo02 P 94 Joseph Yeager 1898-1902

rem · 01-23-2005, 10:21 PM

Cool beans, thanks man.

Jayzone · 01-23-2005, 10:42 PM

Very Interesting. Good job and thanks for creating this!

Although I don't usually do historical replay, I think I will give this a try sometime.

Before I ask a few questions about point #15, I will have to admit I don't own "The New Bill James Historical Abstract" (i should definitely cook up the money for a hardcover version) so I don't know the content of the book well. Please don't flame me for not reading the book first and then ask the questions here. Anyway, the questions are the following: Is the method meant to neturalize the effect of park factor? If it is so, can you expain how does the method manage to achieve this? Also, is the method meant to normalized the scoring environment between different years? So, by using this method, the league average scoring will always be (after adjustion) 790 runs per season, right?

Thanks in advance for answering my questions.

jtb · 01-23-2005, 11:36 PM

Thanks Ankit! Your outstanding work greatly benefits this community.

jbmagic · 01-24-2005, 02:33 AM

thanks Ankit

do we still use the career average dB that you made with your new AnkitDB 5,2 when importing rookies?

and is AnkitDB 5.2 does what years?

thanks

Ankit · 01-24-2005, 06:01 AM

Quote:

Originally Posted by jbmagic

thanks Ankit

do we still use the career average dB that you made with your new AnkitDB 5,2 when importing rookies?

and is AnkitDB 5.2 does what years?

thanks

No, do not use any of my other DBs with this one. This DB is to be used for historical replays beginning in any year after 1900. So 1901 to 2003.

Ankit · 01-24-2005, 08:35 AM

Quote:

Originally Posted by Jayzone

Very Interesting. Good job and thanks for creating this!

Although I don't usually do historical replay, I think I will give this a try sometime.

Before I ask a few questions about point #15, I will have to admit I don't own "The New Bill James Historical Abstract" (i should definitely cook up the money for a hardcover version) so I don't know the content of the book well. Please don't flame me for not reading the book first and then ask the questions here. Anyway, the questions are the following: Is the method meant to neturalize the effect of park factor? If it is so, can you expain how does the method manage to achieve this? Also, is the method meant to normalized the scoring environment between different years? So, by using this method, the league average scoring will always be (after adjustion) 790 runs per season, right?

Thanks in advance for answering my questions.

Yes, the method neutralized the park factor effect and it does normalize the scoring environment between different years. In my DB, the league average scoring is always 790 per season after adjusting.

In the Willie Davis example, the park effects are neutralized this way:

790 runs is the league scoring average. Willie Davis in 1965 created 49.6 runs. Runs Created = ( (H + BB) * TB ) / ( AB + H + BB ). The Dodgers in 1965 played in a league where the average runs per team was 4.03/game. The Park factor for the Dodgers was 0.90 (0.76 at home). Thus 162 games times 4.03 runs per game times 0.90 (park factor) = 588 runs. That is the Dodgers run scoring environment. Since Davis created 50 runs in that environment, we find out how many he would have created in a 790 run environment this way:

790 / 588 * 49.6 = 66.75 or 67.

Now we go back to his Run Created formula and solve for 67 RC while representing his BB, TB, and AB in terms of H, i.e. BB = 14, or in H terms: 14/133 = .105H.

Solve the whole thing algebraically, for each player, every team, and every season and it done.

If you need a more complete example let me know, and pick a player and the season yourself so I can explain this using another player.

Metsui · 01-24-2005, 10:42 AM

Quote:

Originally Posted by Ankit

Extra! Extra! Read all about it!

15. Standardized batting stats to a 790-run environment using a method
devised by Bill James. He uses this in his "The New Bill James
Historical Abstract" to understand a player's batting ability
in a more normal context. For example, if a player hits .238, with
10 HRs and 57 RBI while playing a pitcher's park and where runs are
hard to come by. Is this player any better than another player who
hits .265 with 12 HRs and 72 RBI? The player in question is Willie
Davis in 1965, where runs were at a premium and he played in
pitcher friendly Dodgers Stadium. The .265/12/72 RBI are Willie's
stats standardized were he playing in an average park and where the
league as a whole would score about 750 runs per season. I moved
this to 790 to more closely reflect the scoring rate over the past
10 years and also because OOTP 6's engine understands this better.
The reason I chose to do this is because OOTP's engine does not
compensate for stats under different eras and as a result, will
assign ratings that are somewhat misleading. If you want to read
more about it, see page 740 (Willie Davis comment) in James' book.
If you don't understand why I did this or what effect this has on
the game, then feel free to e-mail me or post questions to me in
the OOTP forums. I did this to everyone, including pitchers.

16. The fielding information for all players is now based on career
averages. If a player played at least 1% of his career games at a
position, he will be rated for that position.

Ankit, thanks for the great work!

Couple of questions:

1) I'm doing a one year historical sim with some friends and we drafted 20 teams of historical players from the beginning of baseball to 2004. We chose to use the 3rd best season based on the salaries assigned to the players at What If Sports.

I've been using the Lahman 5.2 and importing each player manually and by the corresponding season.

I'm a newbie to OOTP so I don't know exactly how everything is generated in terms of ratings of players from different eras so after reading point 15 I was a bit discouraged. Do you see any major problem with the results of our sim based on the current method? Should we switch over to your database?

2) How does OOTP generate fielding ratings? During the importing of the players, I've seen some pretty low defensive ratings for highly regarded defensive players. Will your 5.2 version be more accurate?

Johnny99 · 01-24-2005, 10:53 AM

Ankit -

What do you suggest for league totals and era settings. Does recalc. for hist. accuracy work in your opinion?

Thanks

Cowboys3356 · 01-24-2005, 12:44 PM

And the only Database in OOTP worth playing just keeps getting better! Great work as always!!!

Ankit · 01-24-2005, 12:57 PM

Quote:

Originally Posted by Metsui

Ankit, thanks for the great work!

Couple of questions:

1) I'm doing a one year historical sim with some friends and we drafted 20 teams of historical players from the beginning of baseball to 2004. We chose to use the 3rd best season based on the salaries assigned to the players at What If Sports.

I've been using the Lahman 5.2 and importing each player manually and by the corresponding season.

I'm a newbie to OOTP so I don't know exactly how everything is generated in terms of ratings of players from different eras so after reading point 15 I was a bit discouraged. Do you see any major problem with the results of our sim based on the current method? Should we switch over to your database?

2) How does OOTP generate fielding ratings? During the importing of the players, I've seen some pretty low defensive ratings for highly regarded defensive players. Will your 5.2 version be more accurate?

1. A Normalized DB is the best way to go for this because Deadball Batters will not be good when grouped with later year players and vice-versa for pitchers. My DB includes a Normalized pitchers and I am working on a normalized hitters file. I did a Normalized DB but I don't like it anymore as I have found a better methodology.

2. Arm Strength and Range are generated randomly. They are not at all based on any DB. Same goes for PB, I think they default to 4 for all catchers. Fielding percentage is imported from the DB and uses the percentage for a player for the year he was imported in. My DB uses a career average so it won't matter which year you import a player in. Same goes for the position a player can play at. Example, if Jimmy Foxx is imported in his rookie season using the Lahman, he will import as a Catcher only. If you import his using my DB, he will be a First Baseman with the ability to play C.

Ankit · 01-24-2005, 01:00 PM

Quote:

Originally Posted by Johnny99

Ankit -

What do you suggest for league totals and era settings. Does recalc. for hist. accuracy work in your opinion?

Thanks

I have found that the "Recalculate for Historical Accuracy" button is terrible. You are better off using an external utility, such as the Era Calculator from Stacy Bond (IactricSB on the forums) or one of the Excel spreadsheets created by others. There will be times when you will have to resim a season to get the stats in line and "Recalculate for Historical Accuracy" doesn't allow you do this so you will end up wild fluctuations.

jbmagic · 01-24-2005, 01:20 PM

Quote:

Originally Posted by Ankit

No, do not use any of my other DBs with this one. This DB is to be used for historical replays beginning in any year after 1900. So 1901 to 2003.

do we use Ankit DB 5.2 when we import rookies after season is over?

and i tought the DB does 1901-2004?

Ankit · 01-24-2005, 05:37 PM

Yes, use AnkitDB 5.2 for importing rookies. The DB has stats for players from 1901 to 2004 but don't create a historical league if you want to sim 2004, use one of the 2004 league made by others.

Carlton · 01-24-2005, 06:36 PM

Ankit...glad to see you back!

You should have PMed me, I would have helped with a readme on fielding range, arm and passed balls

As for reclac for historical accuracy...I disagree...I think it works very well.
A little editing to your DB in regards to players ratings really helps with that...the talent is great for their career averages, but some players come in better and then fade. While others come in a little lower and rise to their career averages. That in correlation with a little OOTP randomness makes any player have a career or slump year.

andymac · 01-24-2005, 07:21 PM

Ankit,

You mention in the readme that it is ok to use, say, SoxMan's historical stadiums, including the dat files. I'm just wondering if you are talking about the dat files that make everything 100 or the files that are actually varied.

Ankit · 01-24-2005, 07:55 PM

Quote:

Originally Posted by andymac

Ankit,

You mention in the readme that it is ok to use, say, SoxMan's historical stadiums, including the dat files. I'm just wondering if you are talking about the dat files that make everything 100 or the files that are actually varied.

You can now use the stadiums with varied park factors with this DB...

Ankit · 01-24-2005, 07:59 PM

Quote:

Originally Posted by Carlton

Ankit...glad to see you back!

You should have PMed me, I would have helped with a readme on fielding range, arm and passed balls

As for reclac for historical accuracy...I disagree...I think it works very well.
A little editing to your DB in regards to players ratings really helps with that...the talent is great for their career averages, but some players come in better and then fade. While others come in a little lower and rise to their career averages. That in correlation with a little OOTP randomness makes any player have a career or slump year.

I probably should have but with work, I was too tied up even to release it, even though it was ready about 2 weeks earlier. I haven't had recalc work for me but maybe I am doing something wrong. PM about how to make it work properly with my DB, I will test it again. I do not understand your last part with career average, talent and OOTP randomness, please explain again.

jbmagic · 01-24-2005, 08:14 PM

Ankit and others

when using the DB

be sure to goto league setup, Misc and be sure you say yes to "allow cpu teams to sign and release players"

Its Set to No on default, when creating Historical League With Ankit DB or Lathman DB

if you dont the sim will stop a lot and you wont be able to continue until you do the fix for the cpu teams.

Also be sure you goto league setting, Basic setup and change League Mode from Replay to Career, if you want to continue to next year

Jayzone · 01-24-2005, 09:24 PM

Ankit,

Thanks for the explanation. I think I got it.

Although I couldn't help but wonder that couldn't you use a more accurate player run estimater (XR or extrapolated run come to mind) other than basic RC (basic RC is more for team run estimation)? Well, I guess that minor details are not that important here.

01-23-2005, 10:21 PM	#2
rem Hall Of Famer Join Date: Jul 2003 Location: College Park, Md. Posts: 5,024	Cool beans, thanks man. __________________ OTBA: Washington Filibusters CLBR: Minnesota Twins 2005 Winner of LL's Pick the Loser Contest! - 15-0

01-24-2005, 02:33 AM	#5
jbmagic Hall Of Famer Join Date: Sep 2003 Location: Los Angeles Posts: 3,417	thanks Ankit do we still use the career average dB that you made with your new AnkitDB 5,2 when importing rookies? and is AnkitDB 5.2 does what years? thanks Last edited by jbmagic; 01-24-2005 at 02:38 AM.

01-24-2005, 07:21 PM	#16
andymac Hall Of Famer Join Date: Feb 2002 Location: Effingham, IL Posts: 5,725	Ankit, You mention in the readme that it is ok to use, say, SoxMan's historical stadiums, including the dat files. I'm just wondering if you are talking about the dat files that make everything 100 or the files that are actually varied. __________________ June Madness: Links FTB: andymac

01-24-2005, 08:14 PM	#19
jbmagic Hall Of Famer Join Date: Sep 2003 Location: Los Angeles Posts: 3,417	Ankit and others when using the DB be sure to goto league setup, Misc and be sure you say yes to "allow cpu teams to sign and release players" Its Set to No on default, when creating Historical League With Ankit DB or Lathman DB if you dont the sim will stop a lot and you wont be able to continue until you do the fix for the cpu teams. Also be sure you goto league setting, Basic setup and change League Mode from Replay to Career, if you want to continue to next year Last edited by jbmagic; 01-24-2005 at 08:29 PM.

01-23-2005, 10:04 PM	#1
Ankit All Star Reserve Join Date: Feb 2002 Location: Singapore Posts: 603	NEW: AnkitDB 5.2 Released!!! Extra! Extra! Read all about it! My latest DB based on Lahman 5.2 has now been released. You can download it here: http://www.baseballmaelstrom.com/ankit/AnkitDB52.zip A lot of things have been changed, including players debuting when they originally debuted. Changes are as above: Changes I made to Lahman DB 5.2 to create AnkitDB 5.2: ================================================== ==== There are lot of changes listed below but keep in mind that when you do historical sims, the results will be accurate, with one difference. The ERAs of pitchers in the Dead Ball will be slightly higher than they were in real life, but not too much. Everything else will be completely in line, including stolen bases. Instructions for using this DB are in a text file called "How To Use This.txt", included in the zip file. Enjoy! Note: Fielding Range, Arm, and PB ratings in OOTP are assigned randmomly. They have nothing to do with the DB, either this one or the original Lahman DB. Also, if you need additional help in figuring out how to do historical sims accurately with this DB, let me know. If you have any comments or suggestions or criticisms, I can be reached at ankitpayal@hotmail.com Ankit Desai 01/23/2005 MINOR CHANGES ------------- 01. Removed entries for those that never played. 02. Added debut dates for players missing them. 03. Removed the players who did not play a position; just had a few pinch hit appearances. 04. Removed all batters who debuted prior to 2003 and had less than 100 career at-bats. 05. Removed all pitchers who debuted prior to 2003 and had less than 33.1 career IP. 06. Removed all players who never played in the NL or AL, post-1900. 07. Removed all players who debuted in 2003 or 2004 and had less than 40 career at-bats. 08. Removed all pitchers who debuted in 2003 or 2004 and had less than 10 career IP. 09. Removed all non-pitcher fielding entries for pitchers, provided they played less than 60 games total at other positions. 10. Removed pitching related entries for position players from both pitching and fielding files, if they pitched fewer than 300 innings total. Eight players were still left, see Change #14 for more. MAJOR CHANGES ------------- 11. Added strikeouts for the following players: anyone who played in the AL from 1901 to 1912 and anyone who played in the NL from 1897 to 1909. Previously, players had 0 for strikeouts because the data was unavailable. I analyzed strikeouts by batters from 1913 to 1920 and have made it so that good hitters strikeout less while poor hitters strikeout a lot more often. 12. Deleted all stats prior to 1895 and also all Federal League stats. The reason for this is that the level of competition in the Federal League was not up to par with the NL/AL and if anything stats from that league need to be discounted. Prior to 1894, there were a lot of rules that are vastly different from the modern game, for example, 50 feet between the mound and the plate, calling for where the pitch should be thrown by batters, etc. 13. Caught Stealing data for players from 1895 to 1950 was available for some players but not for most. I recalculated and added CS numbers based on available data from 1951 - 1992. This will lead to better assignment of speed and stealing ability ratings. 14. Separated careers of eight players who pitched and were a position player for substantial amount of time. A list of those 8 players is at the end of this file. The reason for the separation is that OOTP 6 does not assign talent ratings on the hitting side if you are a pitcher and vice-versa. As a result, if Babe Ruth is imported in 1914, 1915, 1916, or 1917, he will import as a Pitcher and will have talent ratings for his pitching skills. However, his batting talents will be what is assigned to all pitchers--1 for everything, except avoiding Ks, it is 105. Obviously this problem had to be solved somehow. I know there are some who don't like this solution but this is the only way OOTP 6 will make this situation work. 15. Standardized batting stats to a 790-run environment using a method devised by Bill James. He uses this in his "The New Bill James Historical Abstract" to understand a player's batting ability in a more normal context. For example, if a player hits .238, with 10 HRs and 57 RBI while playing a pitcher's park and where runs are hard to come by. Is this player any better than another player who hits .265 with 12 HRs and 72 RBI? The player in question is Willie Davis in 1965, where runs were at a premium and he played in pitcher friendly Dodgers Stadium. The .265/12/72 RBI are Willie's stats standardized were he playing in an average park and where the league as a whole would score about 750 runs per season. I moved this to 790 to more closely reflect the scoring rate over the past 10 years and also because OOTP 6's engine understands this better. The reason I chose to do this is because OOTP's engine does not compensate for stats under different eras and as a result, will assign ratings that are somewhat misleading. If you want to read more about it, see page 740 (Willie Davis comment) in James' book. If you don't understand why I did this or what effect this has on the game, then feel free to e-mail me or post questions to me in the OOTP forums. I did this to everyone, including pitchers. 16. The fielding information for all players is now based on career averages. If a player played at least 1% of his career games at a position, he will be rated for that position. 17. Career averages for games played at an OF position in the FieldingOF.csv file. 18. Batting stats for pitchers are now based on career totals, per 500 at-bats. All seasons will have these stats as OOTP 6 does not model pitcher's hitting abilities, so different numbers are useless. 19. Batting stats for position players are now based on career totals, per 500 at-bats. All seasons, except the rookie season, will have these stats. For their rookie season, they keep their original stats if they had over 500 at-bats. If they had less, then the numbers are 75% of their per-500 at-bats ratios. For example: Barry Bonds' Career Averages per 500 at-bats: 159 H, 33 2B, 4 3B, 41 HR, 30 SB, 8 CS, 134 BB, 76 K, .318 Avg His Rookie season, when he had less than 500 ABs: 119 H, 25 2B, 3 3B, 31 HR, 30 SB, 8 CS, 101 BB, 95 K, .238 Avg His H, 2B, 3B, and BB are 75% of his career average. His SB and CS remain the same. His K's are 125% of his career average. 20. Pitching stats are now based on a pitcher's performance relative to the league and the year, taking their park factor in to account. They were then totalled for their career and then based on a standard universe in which pitchers struck out 6.5 per 9 IP, walked 3.5 per 9 IP, etc. These ratios are the MLB ratios for the past 10 years and thus what the OOTP's engine is best designed for. In short, I did something similar to the pitchers like I did to the batters, which is explained above in #15. 21. Batting and Pitching stats are now a players career average except for their rookie season, in which case it is this: For a pitcher: if a pitcher pitched at least 150 IP, he retains those stats, else they are 15% worse than their career average. For a position player: if they had at least 400 AB, they keep their stats, else they are 15% worse than their career averages. This allows for player development yet at the same time limits some of the problems inherent in OOTP's development model (young players not developing their power or contact rating fast enough). ================================================== ===================== The duplicate players: playerID Pos G Name Career ----------------------------------------------------------------------- bressru01 OF Rube Bressler 1919,1921-1932 bressra01 P 107 Ray Bressler 1914-1920 callani01 OF Nixey Callahan 1897,1902-1913 callaja01 P 195 James Callahan 1897-1902 coonejo01 OF Johnny Cooney 1935-1944 coonejo02 P 159 John Cooney 1921-1930 jeffcha01 OF Hal Jeffcoat 1948-1953 jeffcha02 P 245 Harold Jeffcoat 1954-1959 russere01 P Reb Russell 1913-1919 russeew01 OF 138 Ewell Russell 1922-1923 ruthba01 OF Babe Ruth 1918-1935 ruthge01 P 163 George Ruth 1914-1919 woodjo02 OF Joe Wood 1918-1922 woodsm01 P 225 Smokey Joe Wood 1908-1917 yeagejo01 3B Joe Yeager 1899-1908 yeagejo02 P 94 Joseph Yeager 1898-1902 __________________

01-23-2005, 10:42 PM	#3
Jayzone All Star Reserve Join Date: Apr 2004 Posts: 706	Very Interesting. Good job and thanks for creating this! Although I don't usually do historical replay, I think I will give this a try sometime. Before I ask a few questions about point #15, I will have to admit I don't own "The New Bill James Historical Abstract" (i should definitely cook up the money for a hardcover version) so I don't know the content of the book well. Please don't flame me for not reading the book first and then ask the questions here. Anyway, the questions are the following: Is the method meant to neturalize the effect of park factor? If it is so, can you expain how does the method manage to achieve this? Also, is the method meant to normalized the scoring environment between different years? So, by using this method, the league average scoring will always be (after adjustion) 790 runs per season, right? Thanks in advance for answering my questions.

01-23-2005, 11:36 PM	#4
jtb All Star Reserve Join Date: Apr 2002 Posts: 595	Thanks Ankit! Your outstanding work greatly benefits this community.

01-24-2005, 10:53 AM	#9
Johnny99 Minors (Triple A) Join Date: Sep 2004 Posts: 209	Ankit - What do you suggest for league totals and era settings. Does recalc. for hist. accuracy work in your opinion? Thanks

01-24-2005, 12:44 PM	#10
Cowboys3356 All Star Starter Join Date: Sep 2003 Posts: 1,571	And the only Database in OOTP worth playing just keeps getting better! Great work as always!!!

01-24-2005, 05:37 PM	#14
Ankit All Star Reserve Join Date: Feb 2002 Location: Singapore Posts: 603	Yes, use AnkitDB 5.2 for importing rookies. The DB has stats for players from 1901 to 2004 but don't create a historical league if you want to sim 2004, use one of the 2004 league made by others. __________________

01-24-2005, 06:36 PM	#15
Carlton Hall Of Famer Join Date: Mar 2002 Posts: 3,765	Ankit...glad to see you back! You should have PMed me, I would have helped with a readme on fielding range, arm and passed balls As for reclac for historical accuracy...I disagree...I think it works very well. A little editing to your DB in regards to players ratings really helps with that...the talent is great for their career averages, but some players come in better and then fade. While others come in a little lower and rise to their career averages. That in correlation with a little OOTP randomness makes any player have a career or slump year. __________________ "I am at that stage of my life where I keep myself out of arguments. I am 100% self sufficient spiritually, emotionally & financially. Even if you say 1+1=5, you are ABSOLUTELY CORRECT. Enjoy!"

01-24-2005, 09:24 PM	#20
Jayzone All Star Reserve Join Date: Apr 2004 Posts: 706	Ankit, Thanks for the explanation. I think I got it. Although I couldn't help but wonder that couldn't you use a more accurate player run estimater (XR or extrapolated run come to mind) other than basic RC (basic RC is more for team run estimation)? Well, I guess that minor details are not that important here.