3/11/2013 10:51 PM
So, i currently have 2 teams in a live league known as the USA Federation.  The stats for the teams are below.


The Pittsburgh Prospects have 28 errors in 9 games.
 
Lance Johnson C fielder with 5.
Vince Coleman C fielder with 5.
Willie Wilson B fielder with 5.
Jose Reyes B- fielder with 4
Vance Bogart an OF i am playing out of positon and is a D fielder has only 3.
 
Sante Fe Small Slammers 20 errors in 5 games.
Bing Miller B fielder with 8
Babe Ruth A Fielder with 5
 
I understand this is a game, but it doesn't make any sense errors happening at this pace. I mean A and B fielders are on pace to make 60 or more errors while a D fielding AAA Outfielder who is playing out of position is on pace to make much less.
 
I am just curious if anyone else has seen anything like this.
3/11/2013 11:28 PM
Seems out of whack to me...not sure who your pitching staff is but if they are all deadballers it might be killing your fielding, but it shouldn't be THAT bad. Here are the stats from my most similar league right now, From my Page-A-Day prgressive (a multi-season progressive so most years represented).

My team:
1934 SS Lonnie Frey: 8 Errors (.937 Fld %) - Real Life C fielding .945 Fld %
1905 2B Germany Schaeffer: 5 Errors (.970 Fld %) - Real Life C fielding .955 Fld %
1985 3B Paul Molitor: 4 Errors (.958 Fld %) - Real Life B- fielding .953 Fld %
No once else on the team has more than 1.

League Leaders:
1976 2B Juan Benequez: 18 Errors (.882 Fielding %) - Real Life D- fielding .863 Fld %
1945 SS Dick Culler: 13 Errors (.927 Fld %) - Real Life (C+ .954%)
1914 2B Dots Miller: 13 Errors (.843 Fld %) - Real Life (D- .839%)
1984 SS Julio Franco: 13 Errors (.920 Fld %) - Real Life (C .955%)

Team Leaders:
45, 37 and 37 with the league average of 29 errors per team in 33 games.
3/11/2013 11:34 PM
Don't over analyze small samples.  Looking at your pitchers your fielders should fare better than their performance histories.
3/11/2013 11:35 PM
I don't think that's the problem as i have 1 deadball pitcher on each team, both of them are relievers.  It looks like they are high in your league as well, however, the league leaders are all average to below average fielders at least.
3/11/2013 11:36 PM
I will admit it is a small sample size, but Bing Miller for example made 8 errors all year.  Also, it appears my team is not the only one with this issue.  I think the small sample size is what worries me because i have a feeling it's not going to get better.  I am thinking maybe there is a bug in the live engine.
3/12/2013 6:18 PM
In game 6 Bing Miller makes 4 more errors, Ted Williams makes 4 and Babe Ruth makes 1.  That makes 12 errors in 6 games for Bing Miller.  Site staff informed me it was bad luck.
3/13/2013 12:26 AM
Batting

2B: M.Carey (2), W.McGee (1), V.Castilla (3)

RBI: M.Carey (7), H.Wagner 2 (5), J.Cunningham 2 (5)

2-Out RBI: M.Carey, J.Cunningham

Baserunning

CS: H.Wagner (2), W.McGee (3)

Fielding

Errors: V.Coleman 3 (3), W.McGee 5 (5)

http://www.whatifsports.com/slb/Boxscore.aspx?gid=19641676&pid=1&pbp=0&tf=10
3/13/2013 12:27 AM
same league..willie mcgee 1985 with 5 errors against me in 1 game..that's crazy
3/13/2013 12:42 AM
Posted by ace1430 on 3/11/2013 11:35:00 PM (view original):
I don't think that's the problem as i have 1 deadball pitcher on each team, both of them are relievers.  It looks like they are high in your league as well, however, the league leaders are all average to below average fielders at least.
Exactly-- You have almost all modern pitchers.  Your fielding will improve and likey wind up better than their average performance histories.
3/13/2013 1:45 AM
While I agree with the above in that it's most likely a sample size issue, I'll ask a question: Are you playing these hitters fatigued? Fatigue can really do a number on defense, moreso than it does on hitting.
3/13/2013 2:35 AM
Posted by zubinsum on 3/13/2013 12:42:00 AM (view original):
Posted by ace1430 on 3/11/2013 11:35:00 PM (view original):
I don't think that's the problem as i have 1 deadball pitcher on each team, both of them are relievers.  It looks like they are high in your league as well, however, the league leaders are all average to below average fielders at least.
Exactly-- You have almost all modern pitchers.  Your fielding will improve and likey wind up better than their average performance histories.
You actually buy that it's a sample size issue?  I don't.  Up to a few standard deviations I would believe.  Multiple good fielders with 4 and 5 errors in a game?  That seems very, very off.
3/13/2013 10:33 AM
Posted by uncleal on 3/13/2013 1:45:00 AM (view original):
While I agree with the above in that it's most likely a sample size issue, I'll ask a question: Are you playing these hitters fatigued? Fatigue can really do a number on defense, moreso than it does on hitting.
No they are all 100 and it is a league wide issue.
3/13/2013 11:24 AM
It is not a sample size issue. I just went through the league and randomly picked a starting offensive player from each team (to minimize the effect of someone who likes or loathes deadballers) and compared Errors/Inning at each player's primary position. The 24 players I used all have previous seasons in this league, and most have many seasons. On average, they are making 2.7 times as many errors/inning as their historical performance in the same league. The 24 players have a total of 2091.6 innings, which is getting well out of SSS range. The E/I figures actually skew low — because we are early in the season, some of the players I checked have zero errors and when they make their first the E/I will jump up.

If it were sample size, there would be a similar number of players with a decline and increase. Of the 19 players who have at least one error this season, 18 are above their historical E/I rate. The one that is down has a decrease that is miniscule. Looking just at players over 50 innings, 4 have no errors. The other 12 range from .2x as many errors as their historical performance to 21.6x. Only the 4 with 0 errors have a decrease in error rate of any size, and with their first error they will all move into the increase column.

For the 24 players sampled, the AVERAGE increase in errors/inning is 171.2 %; almost tripling their average error rate from the previous four seasons. Here is the chart:
  HISTORICAL AVERAGE   CURRENT SEASON  
  Fielding Errors Innings E/I Errors Innings E/I CHANGE
1919 Babe Ruth d 69 11079.6 0.006 7 52 0.135 2061.57%
2000 Juan Gonzalez a 23 4285.6 0.005 7 69.3 0.101 1782.13%
1923 Cy Williams b 68 11883 0.006 2 30 0.067 1065.00%
1922 Tris Speaker b+ 101 13066.7 0.008 6 67 0.090 1058.57%
1915 Gavvy Cravath d 89 7988.6 0.011 1 9 0.111 897.33%
1955 Elston Howard d- 19 4344 0.004 1 27 0.037 746.78%
1983 Julio Cruz b 11 1404.7 0.008 1 26 0.038 391.15%
2011 Jose Reyes b- 127 6718.3 0.019 4 71.3 0.056 196.77%
1999 Larry Walker b- 36 8548 0.004 3 242.7 0.012 193.50%
1992 Geronimo Pena b 5 517.3 0.010 1 51 0.020 102.86%
1930 Lefty O'Doul d 10 1509.3 0.007 1 78 0.013 93.50%
2005 Chase Utley c+ 31 3740 0.008 3 219.3 0.014 65.04%
1973 Davey Johnson d+ 20 1401.3 0.014 4 189.3 0.021 48.05%
1927 Babe Ruth c 63 11163.6 0.006 1 136 0.007 30.29%
2010 Rafael Furcal c- 12 465.3 0.026 7 226 0.031 20.10%
1979 Bob Horner d+ 21 2133.3 0.010 1 116.7 0.009 -12.95%
1960 Ted Williams a 56 11220.3 0.005 0 89 0.000 -100.00%
1959 Joe Cunningham b+ 6 1861.3 0.003 0 95 0.000 -100.00%
1914 Honus Wagner b- 205 7132.3 0.029 0 8 0.000 -100.00%
2005 Mike Lowell a+ 12 2976 0.004 0 105.7 0.000 -100.00%
1993 Alan Trammell a+ 55 3606.3 0.015 0 79 0.000 -100.00%
1969 Bert Campaneris b 48 1405.7 0.034 0 26 0.000 -100.00%
1963 Wes Covington d 14 1141.7 0.012 0 38 0.000 -100.00%
1999 Barry Bonds b 61 12233.6 0.005 0 40.3 0.000 -100.00%
AVERAGE   48.42 5492.74 0.009 2.08 87.15 0.024 171.20%
3/13/2013 11:27 AM
League fielding % for the past five seasons
S6 .977
S7 .977
S8 .974
S9 .978
S10 .965 (current season)

3/13/2013 11:28 AM
I don't think fatigue is an issue, but will take a look at that shortly. It's a league with heavy reliance on AAA, and except for Game 1 everything played so far has been played live, so we would see any fatigue in the lineup just before starting the game and would have plenty of available, rested players in AAA.
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