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Mulligan Nation

Center of the universe for all things Mulligan in B8 W9 A12 F18 Champs 99T2

  • First Half Review/Second Half Outlook

    Using the mid-season stats so generously supplied by Kevin I can now compulsively pick apart the offensive performance of my Champs league Mulligans. The whole team has under performed so far with 47 wins versus the Pythagorean estimate of 57 with the runs scored and allowed so far.

     

    I can now see who is under performing and over performing versus their PB averages from all leagues. For the 9 hitters who’ve played the most:

     

     

    HR

    BA

    SLG

    OBP

    OPS

    McCann

    4

    26

    111

    42

    153

    Texeira

    -2

    -30

    -50

    -18

    -68

    Weeks

    -5

    5

    -77

    1

    -76

    Matsui

    0

    -37

    -64

    -16

    -80

    Tulowitzki

    -2

    -22

    -39

    -17

    -56

    Wright

    -5

    -39

    -114

    -19

    -133

    Dunn

    -1

    47

    44

    21

    65

    Granderson

    2

    -18

    -62

    -46

    -108

    Hart

    3

    -2

    25

    7

    32

     

    No surprises as Dunn, Hart and McCann looked to be playing above expectations but I was surprised at the extent of the under achieving by Wright and Granderson. Things have improved tremendously from the first 40 games to the second 40: going from 19 wins to 25, averaging 5.55 runs per game versus 4.35 and being healthier and more comfortably back in the playoff picture. Being 10-19 in one run games doesn’t help either.

     

    All in all, there is reason for optimism in the second half. The pitching remains strong, with bullpen help coming over in a recent trade and the offense seems poised to improve their overall performance in the second half.

  • What Wins

    After losing a League Championship series with a team that had the league in offense and pitching (In a 7 game 13 inning thriller) I wanted to check the correllation between leading the regular season in hitting and pitching and winning the Championship. I measured hitting by runs scored and pitching by ERA.

     

    HittingPitching
    R162
    C221
    S3123
    G441
    D553
    M611
    M792
    B8114
    W937
    B1074
    C11611
    A1241
    M13113
    B1472
    K1553
    C1654
    K17114
    F1852
    Champs25
    Chall110
    98T132
    98T271
    99T115
    99T249
    99T318
    00T1103
    00T2 71
    62
    C221
    S3123
    G441
    D553
    M611
    M792
    B8114
    W937
    B1074
    C11611
    A1241
    M13113
    B1472
    K1553
    C1654
    K17114
    F1852
    Champs25
    Chall110
    98T132
    98T271
    99T115
    99T249
    99T318
    00T1103
    00T2 71
    Mean4.8148154.518519
    Mode11
    Median53

     

    The averages were pretty close but only 9 of 27 teams ranked higher on offense than on defense, 

    with the averages being skewed by 2 teams being 14th in pitching. Only 1 Champion led their league on both sides, Mike Bravard's powerhouse Limon team in M6.

  • Pythagorean Theory

    Bill James introduced the idea that one can estimate the amount of wins a team should have from looking at their runs scored and runs allowed totals. It's not perfect but it's a good indicator of whether a team over or under performed. Over the years it has been very accurate. The difference can sometimes be chalked up to managerial ability but mostly it's luck. Teams with excellent bullpens often over-perform due to winning more close games.

     

    The formula is: 

    Win% = Runs scored (2)/Runs scored (2) + Runs allowed (2)

     

    (Note: The formula wouldn't copy to this page so I wrote it in. (2) = squared)

     

    This is the breakdown for my teams this season:

     

    LeagueRuns ScoredRuns AllowedPyth. WinsActual WinsDifference
     
    B887069597.6788-10
    F18947731100.261022
    W953678051.32543
    A1296275499.1198-1
    Champs79864996.387-9
    99T21014652113.19107-6

    This kind of fits my general perception that I'm not a particularly good game manager. I like the GM side of things much better and think I'm better at assessing and accumulating talent than utilizing it in the actual games. The only league where playing closer to the Pythagorean estimate would've made a difference was B8 where I would've made the playoffs instead of missing out by a few games. 

     

     

  • Rookie Draft Revisited

    As I did last year I looked back at last Spring's PB Rookie draft and took a look at where each player was drafted and their Value Over Replacement Player (VORP)  which is the number of runs over what a replacement level player at the same position would contribute. It's not perfect but it's a pretty good measure of value. The chart below shows how much VORP each player generated and where they were selected. Keep in mind that it's only one year and some players may not have done much this season but will contribute mightily down the line.

     

    PlayerVORPDraft Rank
    Hamels48.85
    R.Martin46.14
    Billingsley40.722
    Markakis38.46
    Tulowitzski37.818
    Pedroia35.931
    Saito3224
    Loney30.730
    Uggla29.810
    Jrd Weaver29.12
    Kinsler27.811
    Kemp23.434
    Villanueva23.133
    Johjima22.29
    Kendrick19.38
    Kouzmanoff18.626
    C.Young15.514
    Ethier13.819
    Napoli13.832
    Miner13.736
    Garza11.321
    Bonser7.317
    Milledge6.425
    Zumaya6.312
    Loewen6.129
    D.Young5.71
    S.Drew2.83
    A.Sanchez2.37
    Humber1.535
    Ianetta0.223
    Pelfrey-0.220
    Adw.Miller-0.627
    Sowers-4.716
    Lind-7.928
    Quentin-10.815
    Barfield-13.613

     

    Biggest bust looks like Josh Barfield while Pedroia and Kemp look like pretty good values for where they were drafted. Keep in mind these are the players who were drafted in at least one first round. Players such as Fausto Carmona (64.0), Jamie Shields (45.4) and Brian Bannister (34.9) were also in this draft.

    We might also start to re-think Colorado pitchers as Manny Corpas (31.8), Taylor Bucholz (16.8), Jason Hirsch (13.2) and Ubaldo Jiminez (9.9) were in this draft and didn't get a first round look.

  • Champs Pennant Race

    Once again the Senior Circuit of Champs is providing us with a great pennant/wildcard race. With 45 games remaining the standings:

    Eastern

    Palos Hills             73-42

    East Bay                61-54

    Cedar Rapids        61-54

    Western

    La Jolla                   65-50

    Glen Ellyn              63-52

    New York               61-54

    Santa Barbara       61-54

    Four teams tied for the last wildcard slot and nobody in the clear except Palos Hills. There was a six team down-to-the-wire finish (with one playoff game needed to decide the last wildcard) last year and it appears that things will be even crazier this year.       

  • Yankee Game

    Today I met Bob Campbell and we went to the Diamondbacks-Yankee game as advertised on the PB forum. It was a nice day and a very good game (at least for the Yankees).

    Bob is the first PB manager I've met in person and it worked out great.

     

    The attached picture is Mark Reynolds striking out to end the game.

  • This Old Team - A Rebuilding Draft

    In W9 I had six first round rookie picks and high hopes for acquiring the base for future Mulligan teams. I had picks # 2,7,13,14,17 and 20. While that’s a good position to be in actually executing the draft successfully is no small feat. I picked this team up just before last years drafts and added King Felix, Francisco Liriano, Brian McCann and Josh Johnson for a good start.

     

    I was already set at catcher but every other position was wide open. I did have a good young pitching nucleus but you can never have too many good young pitchers (What’s the best way to develop 4 good young pitchers? Start with 12 good young pitchers and pray). There were 4 good secondbasemen(Kendrick, Uggla, Kinsler and Barfield), 2 good shortstops(Drew and Tulowitzki), 2 good catchers(Martin and Johjima),  4 superior outfielders(D.Young, Markakis, C.Young and Quentin) and the usual host of pitchers.

     

    My goal was to acquire a new double play combo, at least 2 outfielders and draft pitching with the rest. A secondary part of the plan was to use my five second round picks (#2,3,5,7 and 20) to get another outfielder, a thirdbaseman and a catcher, with pitching being, as always, the overflow option. I wanted to avoid taking too many pitchers because that has a much higher chance of disaster. Two would be good, six would be a calamity.

     

    I planned on taking Delmon Young if he was there and Steven Drew if D.Young was gone. This was the easy part to plan on and worked out as predicted, Drew was a Mulligan with the second pick. Next up was the #7 pick, with which I hoped to select Chris Young to play center field. I figured C.Young would last at least until #7 with the other outfielders, position players and pitchers available. Wrong. In W9 he goes the highest in all PB with the #3 pick, with an average selection of 13.67. The fallback outfielder was Markakis, PB average 7.22, but he is gone with the #6 pick.

     

    Figuring the other outfielders would last until the 13-14 picks I set my list for my #1 secondbaseman, Howie Kendrick. I get him and am hopefully set in the middle infield for quite awhile. So far, so good. Overall in PB 4 of the top 12 picks were pitchers but W9 GM’s take only 2 in the top dozen (Weaver and Hamels), instead taking all four outfielders I coveted when Carlos Quentin (15.33 average) is gone at #9.

    So, despite my best laid plans I wind up with pitchers with picks #13,14 and 17. While I like Pelfrey(22.41), Garza(22.85) and Billingsley(23.37) they’re all a bit overdrafted and I’m still left with an empty outfield. That problem gets rectified when I get Lastings Milledge(26.26) with #20. He would’ve been a drop for Quentin but I like him well enough.

     

    Six first round picks, six players selected before their average slot. I like the talent but this a good example of the difficulty of managing a multi-pick rookie draft. It sounds good but the execution can be sticky.

     

    The second round starts off with Chris Ianetta the catcher I had #1 on my new list going ahead of me at 21. However, things went well after that with Kevin Kouzmanoff(26.56) at 22, Andrew Miller(28.22) #23, Jeremy Sowers(17.41! Finally a bargain) #25 and Ryan Sweeney (53.5) with #27. Alberto Callaspo, Jason Hirsh, Joel Guzman and Ubaldo Jiminez were added later.

     

    Bottom Line: Lots of talent, most of it overdrafted but, as always, if they can play it’s a good pick. 

     

  • Do Good Teams Lose Too Much in the Playoffs?

    After another year of PB playoffs a big question for me was: It sure seems like the better team loses more than you’d think likely; is it different than in MLB or just the nature of short series?

    I took a look at all the post-seasons since playoffs began in 1969 and listed out the Champions rank in regular season wins, both in their league and in all of MLB. I wanted to see how often the better teams, at least in terms of regular season records, won the World Series and how that compared to PB.

    The first thing I was surprised by was how seldom the team with the best record in baseball won it all, just 22% of the time. The Series winner had the best record in their own league 53% of the time. If the bar is set that low PB winners should clear it handily as there are super strong (110+ win) teams all the time in PB but not in MLB.

    In PB this season the Champion had the best regular season record in the league 41% of the time. The Champs had the best record in their own circuit 56% of the time. What conclusions can we draw from this:

    • PB, where the strongest teams are generally stronger than the strongest MLB teams, had those teams crowned Championships more than MLB, 41% to 22%. This makes sense because the teams that led the MLB in wins averaged 102 wins while the top PB teams averaged 108
    • The eventual Champ had the best record in their own league/circuit about the same in each, 53% in MLB and 56% in PB
    • You don’t have to even be the best team in your own circuit when 44% of the winners were not
    • The monster teams (Best team in the whole league in PB) lost 59% of the time. Stop complaining and strengthen your team, make the playoffs and take a shot. You don’t have to win 110 games to win the title because
    • Short series are inherently almost random. It’s a crapshoot
    • PB does a very good job of replicating the MLB playoffs

    I’ve included the full data below. I didn’t count 1994 or 1981 due to work stoppages.

    MLB

    LG

    2006

    13

    5

    2005

    2

    1

    2004

    3

    2

    2003

    7

    3

    2002

    4

    3

    2001

    6

    3

    2000

    9

    5

    1999

    3

    1

    1998

    1

    1

    1997

    4

    2

    1996

    3

    2

    1995

    2

    1

    1994

    1993

    4

    1

    1992

    2

    1

    1991

    2

    1

    1990

    4

    2

    1989

    1

    1

    1988

    3

    2

    1987

    9

    5

    1986

    1

    1

    1985

    6

    3

    1984

    1

    1

    1983

    2

    2

    1982

    4

    1

    1981

    1980

    6

    3

    1979

    2

    1

    1978

    1

    1

    1977

    3

    2

    1976

    1

    1

    1975

    1

    1

    1974

    4

    2

    1973

    4

    2

    1972

    3

    1

    1971

    3

    1

    1970

    1

    1

    1969

    2

    1

    Average

    3.527778

    1.861111

    #1 Teams

    8

    19

    #1 %

    0.222222

    0.527778

    LG

    Circuit

    R1

    1