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Thursday, March 11, 2010

Forecasting Home Runs in 2009

From 2006-2008, the MLB home run leaders were: Ryan Howard (58), Alex Rodriguez (54), and Ryan Howard (48).  It seems safe to say that the league-leader in home runs in 2009 should have been somewhere close to 50.  But, who could we have guessed in March of 2009? 


There were 31 players who hit at least 35 home runs at least once during those three years:

n35    HR3    HR162    Player
1    87    30.9    Bay
Jason
1    101    36.1    Beltran
Carlos
1    108    38.2    Berkman
Lance
1    71    43.0    Braun
Ryan
1    97    33.3    Cabrera
Miguel
2    100    36.6    Delgado
Carlos
3    120    42.7    Dunn
Adam
1    106    40.8    Dye
Jermaine
1    112    38.8    Fielder
Prince
1    83    40.2    Giambi
Jason
1    85    34.5    Glaus
Troy
1    90    30.7    Gonzalez
Adrian
1    71    34.2    Hafner
Travis
1    64    28.7    Hall
Bill
1    95    33.2    Holliday
Matt
3    153    52.2    Howard
Ryan
1    70    31.3    Jones
Andruw
1    88    34.4    Konerko
Paul
1    97    36.3    Lee
Carlos
1    51    37.3    Ludwick
Ryan
2    112    42.5    Ortiz
David
1    78    43.5    Pena
Carlos
2    118    42.3    Pujols
Albert
1    50    34.2    Quentin
Carlos
1    91    34.2    Ramirez
Aramis
2    92    36.2    Ramirez
Manny
3    124    43.9    Rodriguez
Alex
1    108    40.9    Soriano
Alfonso
1    81    29.5    Swisher
Nick
1    73    34.7    Thomas
Frank
2    111    44.5    Thome
Jim

To read this chart: Ryan Howard hit at least 40 HR three times, for a total of 153 home runs from 2006-2008.  His average HR rate per 700 plate appearances (the equivalent of a full 162 game season) was 52.2.

It’s safe to say that if we had to guess on a home run leader for 2009, that it would be one of these 31 players. Just for the sake of illustration, let’s put in some semi-intelligent odds of each player winning the HR title in MLB in 2009 as follows:

n35    HR3    HR162    Odds    Player
3    153    52.2    10
%    HowardRyan
1    112    38.8    6
%    FielderPrince
3    120    42.7    6
%    DunnAdam
3    124    43.9    6
%    RodriguezAlex
1    71    43.0    6
%    BraunRyan
2    118    42.3    6
%    PujolsAlbert
1    78    43.5    4
%    PenaCarlos
2    111    44.5    4
%    ThomeJim
1    106    40.8    4
%    DyeJermaine
1    97    33.3    4
%    CabreraMiguel
2    100    36.6    4
%    DelgadoCarlos
1    108    38.2    4
%    BerkmanLance
1    101    36.1    4
%    BeltranCarlos
2    92    36.2    2
%    RamirezManny
1    108    40.9    2
%    SorianoAlfonso
1    90    30.7    2
%    GonzalezAdrian
1    51    37.3    2
%    LudwickRyan
2    112    42.5    2
%    OrtizDavid
1    83    40.2    1
%    GiambiJason
1    95    33.2    1
%    HollidayMatt
1    91    34.2    1
%    RamirezAramis
1    85    34.5    1
%    GlausTroy
1    87    30.9    1
%    BayJason
1    97    36.3    1
%    LeeCarlos
1    88    34.4    1
%    KonerkoPaul
1    50    34.2    1
%    QuentinCarlos
1    81    29.5    1
%    SwisherNick
1    64    28.7    1
%    HallBill
1    73    34.7    1
%    ThomasFrank
1    71    34.2    1
%    HafnerTravis
1    70    31.3    1
%    JonesAndruw
            9
%    Someone else

The total has to obviously come out to 100%.  If we look at Pujols, we gave him odds of 6%, which is the next highest number after Ryan Howard.  If the top-end expectation for Pujols is roughly 50 HR, then the average HR expectation will obviously be less than 50 HR.  Let’s give Pujols this kind of HR expectation, again, purely for the sake of illustration:

50+    6%
45-49    9%
40-44    12%
35-39    15%
30-34    18%
25-29    12%
20-24    10%
15-19    8%
10-14    5%
5-9    3%
0-4    2%

That seems like a reasonable kind of range.  It includes his chance of injuries or possible bad year (for him).  And it includes the chance of him winning the HR crown.  The average of the above is 31 HR.  So, when you look at a forecast for the number of HR for Pujols, and you see “31”, that number actually means “I have no idea how many HR he will hit, other than it will be centered around 31, give or take 20 or 30 HR”.  And that’s pretty much the best we can do.

Can we prove that?  A simple forecasting system I developed is called Marcel The Monkey Forecasting System, or The Marcels, for short.  It’s named after the monkey from the TV show Friends.  I also like the name Marcel for the hockey great Marcel Dionne so even if the name looks dated, you can think of Dionne instead.  Anyway, Marcel listed 13 players as having a forecasted mean of 28 or more home runs for the 2009 season.  Here are those hitters:

40    HowardRyan
32    Rodriguez
Alex
32    Fielder
Prince
32    Dunn
Adam
32    Braun
Ryan
31    Pujols
Albert
31    Pena
Carlos
30    Thome
Jim
29    Dye
Jermaine
28    Delgado
Carlos
28    Cabrera
Miguel
28    Berkman
Lance
28    Beltran
Carlos

Now, remember what I said, and this is important: we are NOT forecasting Pujols to hit 31 HR in 2009.  We forecasted him to hit 31 HR give or take 20 or 30 HR.  You apply that same kind of thinking for each of the above players.  And, we are NOT forecasting Ryan Howard to led the league with 40 HR.  We ARE forecasting SOMEONE to hit around 50 HR.  And these guys our among our best bets.  With the top-end of each of these hitters close to 50 HR, obviously the average will be much lower.

How many HR did these players hit in 2009? 

47    PujolsAlbert
46    Fielder
Prince
45    Howard
Ryan
39    Pena
Carlos
38    Dunn
Adam
34    Cabrera
Miguel
32    Braun
Ryan
30    Rodriguez
Alex
27    Dye
Jermaine
25    Berkman
Lance
23    Thome
Jim
10    Beltran
Carlos
4    Delgado
Carlos

As you can see, it runs the gamut from Delgado’s 4 to Pujols’ league-leading 47.  These 13 hitters were forecasted to hit a combined 401 HR in 2009.  And how many HR did they actually hit in 2009?  400.  That’s right, Marcel nailed it.

So, the forecasting systems work… if you know how to properly interpret what it is they are trying to tell you.

(14) Comments • 2010/03/12 • SabermetricsForecasting
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