Showing posts with label 2010 Dodgers. Show all posts
Showing posts with label 2010 Dodgers. Show all posts

Friday, March 11, 2011

Simulated 2011 NL West Projected Wins


Using my simulator to play out the 2011 schedules for NL West teams. Each game of each team's actual schedule was simulated 10,000 times. There is obviously some margin of error in these numbers. But they should be as good as anything anybody else puts out there.

TeamWinsLossesWPct
Giants88.273.8.544
Rockies86.875.2.536
Dodgers85.276.8.526
Padres81.081.0.500
Diamondbacks68.993.1.425


Notes: My simulator uses a proprietary set of player projections as input. It also takes into consideration defense, home field advantage, park factors, splits, bullpens, speed, among many other things.

Friday, February 18, 2011

Giants vs Dodgers, Opening Day Simulated Preview


The 2011 season begins for the Dodgers on March 31st at home in a game against the defending champions the San Francisco Giants. The starters for the game have already been announced. The Giants will start their long haired hippy, Tim Lincecum - while the Dodgers will counter with their clean cut and wholesome ace Clayton Kershaw, in what will be a classic matchup of Evil vs Good. I have gone ahead and simulated this game, making a guess at the starting lineups 100K times. Below are the lineups used and the results.

PlayerPos PlayerPos
Giants  Dodgers 
Andres TorresCF Rafael FurcalSS
Freddy Sanchez2B Andre EthierRF
Aubrey Huff1B Matt KempCF
Buster PoseyC James Loney1B
Pat BurrellLF Juan Uribe2B
Miguel TejadaSS Jay GibbonsLF
Cody RossRF Casey Blake3B
Pablo Sandoval3B Rod BarajasC
Tim LincecumSP Clayton KershawSP


... And now the results

AwayHome  FavoriteWin ProbOver/Under
SFLANTim LincecumClayton KershawLAN53.9725.81217


So we see that the Dodgers will likely be a slight favorite to win on opening day, but a win probability of just under 54% is pretty much a toss up game.

Here is the hitters boxscore
NameABHitsH1H2H3HRRBIBBSOwOBABABIP
Andres Torres4.271.0060.5760.3170.0250.0880.2820.3371.2870.2960.317
Freddy Sanchez4.2181.160.7720.3090.010.0690.3010.2811.0020.3180.347
Aubrey Huff4.0651.0280.6960.20.0120.120.3770.3780.9570.3150.304
Buster Posey4.0540.9970.6940.2360.0040.0630.3440.3041.0430.290.317
Pat Burrell3.8240.8810.5250.2260.0020.1280.4270.4331.290.3090.313
Miguel Tejada3.9411.0250.7130.2410.0060.0660.3480.1970.7050.2950.303
Cody Ross3.7380.8620.5570.2060.0050.0950.3460.2881.1650.2870.31
Pablo Sandoval3.4670.7180.4650.180.0060.0670.2890.4221.3750.2790.321
Tim Lincecum3.6570.3350.2650.0590.0010.0090.10.1472.2010.1150.225
            
Rafael Furcal4.0431.0250.6520.2640.0370.0720.240.3470.8670.310.307
Andre Ethier3.870.9710.5680.2490.0110.1440.3760.4481.0210.3330.306
Matt Kemp3.950.9470.6050.2020.030.110.370.2721.2050.2970.318
James Loney3.7840.9690.60.270.0150.0830.3810.3950.780.3220.303
Juan Uribe3.7710.8920.5440.2120.0190.1170.4210.2490.8620.2960.278
Jay Gibbons3.5780.8160.4730.20.0070.1370.40.3630.8380.3080.261
Casey Blake3.5080.8080.5040.2060.0090.0890.3250.2571.0310.2870.301
Rod Barajas3.4190.7450.4780.1760.0050.0860.3070.2240.8110.2710.261
Clayton Kershaw3.4240.3460.2790.0550.0020.010.0910.1251.8570.1220.216


Pitchers Boxscore
NameIPSOBBHitsHRPCFIP
Tim Lincecum6.4887.0571.8895.410.621100.5443.143
Brian Wilson0.4740.5820.1240.3380.0297.22.319
Sergio Romo0.4390.4850.1010.3590.0416.6512.891
Ramon Ramirez0.6250.4520.2120.6090.0669.7514.147
Santiago Casilla0.2880.2640.1160.2430.0234.5573.606
Chris Ray0.380.2760.1590.3760.0476.1044.59
Guillermo Mota0.1850.1440.0710.1750.0192.9284.167
Denny Bautista0.0130.0130.0070.010.0020.2084.38
        
Clayton Kershaw6.5247.6021.9395.6440.469102.812.696
Johnathan Broxton0.4820.720.1550.3180.0317.5932.021
HongZhi Kuo0.5080.6870.1320.3750.0237.851.854
Kenley Jansen0.7320.9590.2450.5550.04211.6022.339
Matt Guerrier0.3450.2790.0980.3480.0385.3753.875
Vicente Padilla0.6210.6220.1590.6020.0779.6953.567
Ron Mahay0.1610.150.0540.1620.0222.5874.131
Blake Hawksworth0.0070.0070.0020.0070.0010.1183.974


Tuesday, February 01, 2011

Rockies vs Dodgers, 2011 Pre-Season Simulations




On the heels of the Giants/Dodgers 2011 simulated matchups, I present to you the Rockies/Dodgers 2011 simulated matchups. Each pitching matchup was simulated 100K times with each team taking a shot at being both the away and home team. Below are the lineups, starting rotations used as well as the results (50).

Rockies Starting Lineup Dodgers Starting Lineup
Rockies vs LHP Rockies vs RHP   Dodgers vs LHP Dodgers vs RHP
Order Pos Name Pos Name   Pos Name Pos Name
1 CF D.Fowler CF D.Fowler   SS R.Furcal SS R.Furcal
2 2B J.Lopez RF S.Smith   CF M.Kemp CF M.Kemp
3 RF C.Gonzalez LF C.Gonzalez   RF A.Ethier RF A.Ethier
4 SS T.Tulowitzki SS T.Tulowitzki   3B C.Blake 1B J.Loney
5 LF R.Spilborghs 3B I.Stewart   2B J.Uribe 3B C.Blake
6 1B T.Wigginton 1B T.Helton   LF M.Thames 2B J.Uribe
7 3B I.Stewart 2B J.Lopez   1B J.Loney LF J.Gibbons
8 C C.Iannetta C C.Iannetta   C R.Barajas C R.Barajas


Rockies Rotation Dodgers Rotation
#1 Ubaldo Jimenez #1 Clayton Kershaw
#2 Jorge de la Rosa #2 Chad Billingsley
#3 Jason Hammel #3 Hiroki Kuroda
#4 Jhoulys Chacin #4 Ted Lilly
#5 Aaron Cook #5 Jon Garland


Simulation Results
Away Starter Home Starter Favorite Win Prob
Ubaldo Jimenez Clayton Kershaw Dodgers 53.81%
Clayton Kershaw Ubaldo Jimenez Rockies 58.17%
Ubaldo Jimenez Chad Billingsley Dodgers 51.40%
Chad Billingsley Ubaldo Jimenez Rockies 61.09%
Ubaldo Jimenez Hiroki Kuroda Rockies 50.81%
Hiroki Kuroda Ubaldo Jimenez Rockies 62.88%
Ubaldo Jimenez Ted Lilly Rockies 55.18%
Ted Lilly Ubaldo Jimenez Rockies 66.35%
Ubaldo Jimenez Jon Garland Rockies 58.51%
Jon Garland Ubaldo Jimenez Rockies 70.16%
Jorge de la Rosa Clayton Kershaw Dodgers 59.47%
Clayton Kershaw Jorge de la Rosa Rockies 52.54%
Jorge de la Rosa Chad Billingsley Dodgers 57.12%
Chad Billingsley Jorge de la Rosa Rockies 55.36%
Jorge de la Rosa Hiroki Kuroda Dodgers 55.16%
Hiroki Kuroda Jorge de la Rosa Rockies 57.18%
Jorge de la Rosa Ted Lilly Dodgers 50.59%
Ted Lilly Jorge de la Rosa Rockies 60.82%
Jorge de la Rosa Jon Garland Rockies 52.03%
Jon Garland Jorge de la Rosa Rockies 64.87%
Jason Hammel Clayton Kershaw Dodgers 58.40%
Clayton Kershaw Jason Hammel Rockies 52.78%
Jason Hammel Chad Billingsley Dodgers 56.26%
Chad Billingsley Jason Hammel Rockies 55.44%
Jason Hammel Hiroki Kuroda Dodgers 53.75%
Hiroki Kuroda Jason Hammel Rockies 57.65%
Jason Hammel Ted Lilly Rockies 51.08%
Ted Lilly Jason Hammel Rockies 61.29%
Jason Hammel Jon Garland Rockies 53.77%
Jon Garland Jason Hammel Rockies 65.41%
Jhoulys Chacin Clayton Kershaw Dodgers 56.28%
Clayton Kershaw Jhoulys Chacin Rockies 55.41%
Jhoulys Chacin Chad Billingsley Dodgers 53.64%
Chad Billingsley Jhoulys Chacin Rockies 58.53%
Jhoulys Chacin Hiroki Kuroda Dodgers 51.34%
Hiroki Kuroda Jhoulys Chacin Rockies 60.18%
Jhoulys Chacin Ted Lilly Rockies 52.95%
Ted Lilly Jhoulys Chacin Rockies 63.90%
Jhoulys Chacin Jon Garland Rockies 55.94%
Jon Garland Jhoulys Chacin Rockies 67.62%
Aaron Cook Clayton Kershaw Dodgers 61.99%
Clayton Kershaw Aaron Cook Dodgers 51.81%
Aaron Cook Chad Billingsley Dodgers 59.82%
Chad Billingsley Aaron Cook Rockies 51.60%
Aaron Cook Hiroki Kuroda Dodgers 57.61%
Hiroki Kuroda Aaron Cook Rockies 53.40%
Aaron Cook Ted Lilly Dodgers 53.33%
Ted Lilly Aaron Cook Rockies 56.79%
Aaron Cook Jon Garland Dodgers 50.20%
Jon Garland Aaron Cook Rockies 61.21%


When you average the combined win probability of all fifty games, the Rockies have an average win probability of 53.38%. Extrapolated out over a 162 game season the Rockies would win 86.47 games and the Dodgers would win 75.53. The simulator is showing the Rockies as the stronger of the two teams, but it is close enough that the Dodgers could reasonably finish with a better record than the Rockies due to randomness.

NBA Picks

Thursday, January 20, 2011

Comparing The Talents Of National League Pitchers


Last week I looked at similarity scores between NL West starting pitchers using the stats of K/9, BB/9, GB/FB and Age. This week I am expanding my sample to include all projected National League starting pitchers. And this time I am going to narrow the stats down to the ones I feel are most reflective of a pitchers talent (K/9, BB/9, GB/FB). I tried to weight each of the three categories somewhat evenly, by using the number of standard deviations away from the mean (in each category) for each pitchers three inputs.

The way I am calculating the similarity scores is by using an X-Y-Z plot and calculating how close each pitcher is to each other in terms of distance using the three stats listed above. There is a simple formula to calculate this that we all learned in trigonometry. Dist = SQRT((X1-X2)^2 + (Y1-Y2)^2 + (Z1-Z2)^2)

The ultimate goal of each pitcher would be to score well in each of the three categories placing him in the top quadrant. A pitcher with a high K/9, low BB/9 and high GB/FB are positioned to have the most success. What really stands out before looking at any results are the numbers of Roy Halladay. His K/9 of 7.57 is above average, coming in at a modest 0.27 standard deviations above the mean. His BB/9 of 1.24 comes in at 2.65 (the best) standard deviations (to the good side) and lastly his GB/FB comes in at 1.89 standard deviations (above the mean). It is no wonder why Roy Halladay is the leagues best pitcher.

Roy Halladay (units SD)
K/9 BB/9 GB/FB
+0.27 +2.65 +1.89


Since this blog is primarily a Dodgers blog, let's take a look at the most similar NL pitchers for each of the Dodgers five starters.

Los Angeles Dodgers
Pitcher Most Similar K/9 BB/9 GB/FB Sim Score
C.Kershaw Y.Gallardo 9.65 vs 9.67 3.62 vs 3.43 1.06 vs 1.18 0.361
C.Billingsley R.Dempster 8.39 vs 8.14 3.34 vs 3.27 1.36 vs 1.41 0.223
H.Kuroda C.Carpenter 6.83 vs 6.39 2.17 vs 2.23 1.59 vs 1.81 0.539
T.Lilly S.Marcum 7.63 vs 7.65 2.23 vs 2.18 0.74 vs 0.94 0.404
J.Garland L.Hernandez 4.84 vs 4.91 2.83 vs 2.89 1.33 vs 1.15 0.371


A fair conclusion to come to from this, is to say that the Dodgers starting rotation of Kershaw, Billingsley, Kuroda, Lilly and Garland is equal to in terms of 2011 projected talent as a rotation of Gallardo, Dempster, Carpenter, Marcum and Hernandez. This leads to the very interesting question of, which of those two rotations would you rather want for the 2011 season, all other things (salary, age, etc...) being equal?

Here is a quick look at the rest of the National League starters with each pitchers closest comparable NL pitcher and their similarity score (lowest is closest).

NL Starting Pitchers - Similarity Scores
Pitcher Most Similar K/9 BB/9 GB/FB Sim Score
T.Lincecum Y.Gallardo 9.95 vs 9.67 3.01 vs 3.43 1.37 vs 1.18 0.733
B.Zito K.Correia 6.46 vs 6.60 3.72 vs 3.56 0.89 vs 1.14 0.555
M.Cain A.Harang 7.51 vs 7.38 2.66 vs 2.69 0.80 vs 0.93 0.277
J.Sanchez B.Norris 9.49 vs 8.95 4.33 vs 4.33 0.98 vs 1.04 0.392
M.Bumgarner J.Hammel 7.23 vs 7.25 2.43 vs 2.27 1.23 vs 1.33 0.302
U.Jimenez J.Chacin 8.59 vs 9.06 3.59 vs 3.83 1.64 vs 1.45 0.604
J.de la Rosa J.Chacin 8.64 vs 9.06 4.03 vs 3.83 1.31 vs 1.45 0.493
J.Hammel M.Bumgarner 7.25 vs 7.23 2.27 vs 2.43 1.33 vs 1.23 0.302
A.Cook T.Hudson 3.97 vs 5.63 2.78 vs 2.79 2.44 vs 2.60 1.191
J.Chacin J.de la Rosa 9.06 vs 8.64 3.83 vs 4.03 1.45 vs 1.31 0.493
I.Kennedy J.McDonald 7.97 vs 8.52 3.28 vs 3.48 0.84 vs 0.82 0.477
D.Hudson M.Cain 8.01 vs 7.51 2.69 vs 2.66 0.72 vs 0.80 0.383
J.Saunders R.Dickey 5.40 vs 5.42 2.85 vs 2.69 1.27 vs 1.39 0.330
B.Enright B.Arroyo 5.81 vs 5.38 2.25 vs 2.58 0.70 vs 1.01 0.830
Z.Duke R.Dickey 4.66 vs 5.42 2.46 vs 2.69 1.60 vs 1.39 0.747
M.Latos C.Hamels 9.18 vs 8.56 2.53 vs 2.32 1.03 vs 1.06 0.526
C.Richard J.Jurrjens 6.50 vs 6.54 3.25 vs 3.17 1.43 vs 1.26 0.357
T.Stauffer D.Moseley 6.05 vs 5.69 3.03 vs 3.06 1.31 vs 1.39 0.298
A.Harang J.Cueto 7.38 vs 7.16 2.69 vs 2.76 0.93 vs 1.02 0.255
D.Moseley T.Stauffer 5.69 vs 6.05 3.06 vs 3.03 1.39 vs 1.31 0.298
R.Halladay H.Kuroda 7.57 vs 6.83 1.24 vs 2.17 2.18 vs 1.59 1.786
C.Lee R.Nolasco 7.59 vs 8.82 1.30 vs 2.03 0.91 vs 0.95 1.254
R.Oswalt J.Hammel 7.54 vs 7.25 2.34 vs 2.27 1.48 vs 1.33 0.373
C.Hamels Z.Greinke 8.56 vs 8.55 2.32 vs 2.23 1.06 vs 1.01 0.162
J.Blanton M.Bumgarner 6.55 vs 7.23 2.50 vs 2.43 1.20 vs 1.23 0.484
T.Hudson J.Westbrook 5.63 vs 5.83 2.79 vs 2.97 2.60 vs 2.65 0.308
T.Hanson J.Vazquez 8.33 vs 7.68 2.67 vs 2.80 0.99 vs 0.96 0.490
D.Lowe J.Westbrook 6.26 vs 5.83 2.70 vs 2.97 3.08 vs 2.65 0.983
J.Jurrjens C.Richard 6.54 vs 6.50 3.17 vs 3.25 1.26 vs 1.43 0.357
M.Minor D.Hudson 8.74 vs 8.01 3.00 vs 2.69 0.73 vs 0.72 0.671
J.Johnson C.Hamels 8.96 vs 8.56 2.32 vs 2.32 1.45 vs 1.06 0.409
R.Nolasco C.Hamels 8.82 vs 8.56 2.03 vs 2.32 0.95 vs 1.06 0.361
J.Vazquez A.Harang 7.68 vs 7.38 2.80 vs 2.69 0.96 vs 0.93 0.267
A.Sanchez C.Billingsley 7.57 vs 8.39 3.51 vs 3.34 1.15 vs 1.36 0.606
C.Volstad D.Moseley 5.76 vs 5.69 3.34 vs 3.06 1.51 vs 1.39 0.467
J.Santana A.Harang 6.99 vs 7.38 2.46 vs 2.69 0.87 vs 0.93 0.441
M.Pelfrey D.Moseley 5.44 vs 5.69 2.99 vs 3.06 1.63 vs 1.39 0.517
J.Niese B.Myers 7.49 vs 7.44 3.06 vs 2.77 1.48 vs 1.46 0.416
R.Dickey J.Saunders 5.42 vs 5.40 2.69 vs 2.85 1.39 vs 1.27 0.330
C.Young C.Narveson 7.63 vs 7.45 3.70 vs 3.70 0.54 vs 0.87 0.667
L.Hernandez J.Garland 4.91 vs 4.84 2.89 vs 2.83 1.15 vs 1.33 0.371
J.Lannan P.Maholm 4.66 vs 4.95 3.21 vs 3.01 1.83 vs 1.84 0.349
J.Marquis J.Lannan 4.89 vs 4.66 3.43 vs 3.21 1.58 vs 1.83 0.608
J.Zimmerman W.Rodriguez 8.30 vs 8.40 2.86 vs 2.94 1.33 vs 1.26 0.143
T.Gorzelanny H.Bailey 8.00 vs 7.54 3.88 vs 3.93 1.06 vs 1.20 0.429
C.Carpenter H.Kuroda 6.39 vs 6.83 2.23 vs 2.17 1.81 vs 1.59 0.539
A.Wainwright J.Johnson 8.41 vs 8.96 2.24 vs 2.32 1.50 vs 1.45 0.409
K.Lohse B.Arroyo 5.50 vs 5.38 2.71 vs 2.58 1.12 vs 1.01 0.298
J.Westbrook T.Hudson 5.83 vs 5.63 2.97 vs 2.79 2.65 vs 2.60 0.308
J.Garcia J.Westbrook 7.30 vs 5.83 3.39 vs 2.97 2.29 vs 2.65 1.379
E.Volquez B.Norris 9.43 vs 8.95 4.68 vs 4.33 1.34 vs 1.04 0.845
B.Arroyo K.Lohse 5.38 vs 5.50 2.58 vs 2.71 1.01 vs 1.12 0.298
J.Cueto A.Harang 7.16 vs 7.38 2.76 vs 2.69 1.02 vs 0.93 0.255
T.Wood I.Kennedy 7.61 vs 7.97 3.14 vs 3.28 0.63 vs 0.84 0.522
H.Bailey T.Gorzelanny 7.54 vs 8.00 3.93 vs 3.88 1.20 vs 1.06 0.429
Z.Greinke C.Hamels 8.55 vs 8.56 2.23 vs 2.32 1.01 vs 1.06 0.162
Y.Gallardo C.Kershaw 9.67 vs 9.65 3.43 vs 3.62 1.18 vs 1.06 0.361
S.Marcum T.Lilly 7.65 vs 7.63 2.18 vs 2.23 0.94 vs 0.74 0.404
R.Wolf R.Ohlendorf 6.45 vs 6.48 3.32 vs 3.24 0.95 vs 0.92 0.130
C.Narveson T.Gorzelanny 7.45 vs 8.00 3.70 vs 3.88 0.87 vs 1.06 0.594
R.Dempster C.Billingsley 8.14 vs 8.39 3.27 vs 3.34 1.41 vs 1.36 0.223
R.Wells T.Stauffer 6.57 vs 6.05 2.76 vs 3.03 1.43 vs 1.31 0.577
M.Garza N.Figueroa 7.38 vs 7.04 2.94 vs 3.00 1.16 vs 1.05 0.332
C.Zambrano J.de la Rosa 7.92 vs 8.64 4.23 vs 4.03 1.51 vs 1.31 0.698
C.Silva H.Kuroda 5.63 vs 6.83 1.94 vs 2.17 1.51 vs 1.59 0.895
P.Maholm J.Lannan 4.95 vs 4.66 3.01 vs 3.21 1.84 vs 1.83 0.349
R.Ohlendorf R.Wolf 6.48 vs 6.45 3.24 vs 3.32 0.92 vs 0.95 0.130
C.Morton C.Richard 6.51 vs 6.50 3.64 vs 3.25 1.55 vs 1.43 0.604
J.McDonald I.Kennedy 8.52 vs 7.97 3.48 vs 3.28 0.82 vs 0.84 0.477
K.Correia R.Wolf 6.60 vs 6.45 3.56 vs 3.32 1.14 vs 0.95 0.520
W.Rodriguez J.Zimmerman 8.40 vs 8.30 2.94 vs 2.86 1.26 vs 1.33 0.193
B.Myers J.Niese 7.44 vs 7.49 2.77 vs 3.06 1.46 vs 1.48 0.416
J.Happ T.Gorzelanny 7.87 vs 8.00 4.15 vs 3.88 0.87 vs 1.06 0.546
B.Norris J.Sanchez 8.95 vs 9.49 4.33 vs 4.33 1.04 vs 0.98 0.392
N.Figueroa M.Garza 7.04 vs 7.38 3.00 vs 2.94 1.05 vs 1.16 0.332


There are some interesting results here. The two pitchers with the closest similarity scores are Randy Wolf (MIL) and Ross Ohlendorf (PIT) with a score of 0.130. Zack Greinke and Cole Hamels have a score of 0.162, the lowest score of what I would call upper tier pitchers. There are a few pitchers like Roy Halladay, Cliff Lee and Jaime Garcia who don't have any worthwhile comparables, usually from being outliers in more than one category. If you are interested in the complete spreadsheet of all the comparables, please write me an email (xeifrank-yahoo-com) or leave a comment.

Summary Statistics
Statistic Result
Average K/9 7.14
Stdev K/9 1.45
Average BB/9 2.98
Stdev BB/9 0.70
Average GB/FB 1.32
Stdev GB/FB 0.50


MLB Picks

Sunday, October 17, 2010

Rangers vs Yankees, ALCS Game #3 Simulation



October 18th Simulations, Championship Series Odds. ..



Visitors Home Probable Pitching Matchup Favorite Vegas Win Prob Simulator Win Prob Actual
Rangers Yankees C.Lee vs A.Pettitte Rangers 51.46% 57.80% TEX 8-0


Final Regular Season ROI: 3.54%
Playoffs ROI: 29.60%

MLB Scoreboard

Sunday, January 24, 2010

Dodger Crystal Ball


It's time to leave the world of WAR and move onto what should hopefully be a better indicator of team talent in terms of projecting a 2010 win total. I have programmed up my baseball simulator with the first 50 games of the Dodgers schedule. Taking the Dodgers win probability from each game and adding them all together and dividing by 50 you get the Dodgers 50 game win total expectancy.

As part of this exercise, I had to make a few assumption in order to keep this from becoming a science project. I used roster depth charts from Yahoo sports, using the same starting lineup for each team, in each and every game. I used 5 man starting rotations, skipping the 5th starter when their turn was not needed. For the Dodgers, I split 5th starter starts between Eric Stults and James McDonald. For player projection inputs, I generate my own player projections.

For a detailed description of the results, please navigate to this Fanpost at the Dodgers True Blue LA blog.

As time permits, I will add 10-20 games to the simulation per week and update the table below.

Team Games Played Wins Losses Win %
Dodgers 50 29.7 20.3 .594

Super Bowl Odds