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Dodgers vs Phillies, Game #5 Simulation

I used my simulator to simulate 100000 baseball games between the Dodgers and Phillies using what to the best of my knowledge will be close to today's starting lineups.  The simulator outputs a win probability for each team, along with the average total runs scored, a distribution matrix of all the final scores and how often they occurred, and an averaged box score tally of all games combined.  You may find it strange that there are so many one run games listed as the most likely score, and that the home team is always favored to win in the top couple of scores.  This is due to basic math and the way that baseball rules play out of having the home team bat last.  Here is a great article explaining this phenomenon.

Today's Results... (Last simulation ran on Tuesday at 6:30PM)

 

Visitors Home Pitching Matchup Favorite Vegas Win Prob Simulator Win Prob AccuScore
LAN PHI V.Padilla vs C.Hamels PHI 56.71% 59.88% 55%

 Skinny:  Simulator Fun Facts... The Phillies are moderate favorites to close out the series in five games.  AccuScore and Vegas are giving the Phillies a win probability between 55 and 57 percent, while my simulator is singing a more pessimistic tune for the Dodgers, with the Phillies nearly tipping the 60% win probability plateau.  I hope the simulator is under estimating the deftness of Vicente Padilla, who was sent to the Dodgers by a devine hand to help save the Dodgers season.

 

Top 50 Most Likely Scores

1 PHI 3-2
2 PHI 4-3
3 PHI 5-4
4 LAN 3-2
5 LAN 4-3
6 PHI 2-1
7 PHI 4-2
8 PHI 6-5
9 LAN 5-4
10 PHI 5-3
11 PHI 3-1
12 PHI 4-1
13 PHI 5-2
14 LAN 4-2
15 LAN 2-1
16 PHI 5-1
17 LAN 5-3
18 PHI 6-3
19 LAN 3-1
20 PHI 6-4
21 PHI 6-2
22 LAN 5-2
23 LAN 6-4
24 LAN 6-5
25 PHI 7-6
26 PHI 6-1
27 PHI 3-0
28 LAN 6-3
29 LAN 4-1
30 PHI 2-0
31 PHI 4-0
32 PHI 1-0
33 PHI 7-4
34 PHI 7-2
35 PHI 7-3
36 LAN 5-1
37 PHI 7-5
38 PHI 5-0
39 LAN 6-2
40 PHI 7-1
41 LAN 7-5
42 LAN 7-3
43 PHI 6-0
44 LAN 7-4
45 PHI 8-3
46 LAN 7-6
47 LAN 3-0
48 PHI 8-2
49 PHI 8-1
50 LAN 7-2

 

Game Pitching Results

Pitcher IP SO BB HR WHIP FIP
V.Padilla 6.5 4.683 2.369 1.055 1.398 4.971
C.Hamels 7.1 6.387 1.604 0.825 1.172 3.588

 


Note: Keep in mind I did this simulation before knowing the actual starting lineups, so some of the players I used may not be starting.   Many of the "Players Most Likely To" stats depend on having the correct lineup.  The lineups  I used are listed below.  Chances are you won't see a big difference in win probability from having the lineup order slightly off.  Picking the correct starters is more important, especially if one of the better players is taking the day off.  But you still won't see a big change in win probability if the starter and backup are interchangeable.

Simulation Lineups
  Name wOBA Name wOBA
1 R.Furcal .3068 J.Rollins .3401
2 R.Belliard .3133 S.Victorino .3468
3 A.Ethier .3097 C.Utley .3845
4 M.Ramirez .3675 R.Howard .3974
5 M.Kemp .3382 J.Werth .3627
6 J.Loney .2988 R.Ibanez .3668
7 C.Blake .3125 P.Feliz .3019
8 R.Martin .2981 C.Ruiz .3081
9 V.Padilla .1381 C.Hamels .1510

 







Comment 21 comments  |  0 recs  | 

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Send An S.O.S. To The World

Click Here for good luck and to help rescue the Dodgers season!!!
vr, Xei

by Xeifrank on Oct 20, 2009 10:54 PM PDT reply actions  

FYI... score #194 is...

Dodgers win… 15-4. :)
20 occurrences out of 100,000.
vr, Xei

by Xeifrank on Oct 20, 2009 11:06 PM PDT up reply actions  

im just wodnering

why does it say LAN instead of LAD

by matthewmafa on Oct 20, 2009 10:58 PM PDT reply actions  

LAN = Los Angeles National
LAA = Los Angeles American

My database feed uses those abbreviations.

Also,
NYA = New York American
NYN = New York National

Hope that helps.
vr, Xei

by Xeifrank on Oct 20, 2009 11:04 PM PDT up reply actions  

oh alright

was wondering why it wasnt just lad laa nyy nym but it doesnt really matter

by matthewmafa on Oct 20, 2009 11:11 PM PDT up reply actions  

Totally unrelated but

What does SFO mean?

SFO = San fransisco Giants, but what does the ‘O’ stand for?

by PHAT JULIO on Oct 20, 2009 11:12 PM PDT reply actions  

Airport code perhaps? Xei, is San Diego “SAN” too?

by Eric Stephen on Oct 20, 2009 11:14 PM PDT up reply actions  

My DB uses SD and SF for the Padres and Giants respectively. The SFO is probably the airport code like someone stated. Different stat services use slightly different abbreviations. I was use to the LAD, NYM, NYY, CHC and CWS before I had to switch to, LAN, NYN, NYA, CHN and CHA. It makes automating easy to go with whatever the stat service uses.
vr, Xei

by Xeifrank on Oct 20, 2009 11:23 PM PDT up reply actions  

Quick question.

How long does it take to run these?

I R 5

by say hey nation on Oct 21, 2009 7:53 AM PDT reply actions  

15-20 minutes

Then it auto generates a report in excel spreadsheet for me.
vr, Xei

by Xeifrank on Oct 21, 2009 8:27 AM PDT up reply actions  

Just wondering...

…does the simulator take non-tangibles into account? Such as must-win motivation? Or lets-win-it-here-so-we-don’t-have-to fly-cross-country-again thinking?

by Connector on Oct 21, 2009 10:39 AM PDT reply actions  

No

I heard he is working on a “clutch” input though.

by Michael White on Oct 21, 2009 10:48 AM PDT up reply actions  

Non-tangible Correction Factors

He’s a Gamer (competitor, etc.) (add+.4% WP)
He knows how to play the game the right way (add+.8% WP)
He’s patient at the plate (add+.2% WP)
He’s been here before (add+0.4% WP)
He Fists It . . . ! (-8.2% WP)

Source: Baseball Reference (way towards the back)

by Cool Dudes on Oct 21, 2009 1:37 PM PDT up reply actions  

Patient at the plate is tangible

OBP would be a good place to look.

Or you can note the pitches per plate appearance.

by Michael White on Oct 21, 2009 1:46 PM PDT up reply actions  

The easiest is tangible to quantify is “this team knows how to play the game the right way”. This team can be easily identified as the “World Series” winner.

by Cool Dudes on Oct 21, 2009 2:23 PM PDT up reply actions  

haha, you guys are in a particularly good mood. :)
vr, Xei

by Xeifrank on Oct 21, 2009 3:18 PM PDT up reply actions  

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2012 Dodgers Payroll

Italics denote estimates
Pos No Player 2012 Salary
C 17 Ellis $500,000 team control
1B 7 Loney $6,375,000
2B 14 Ellis $2,500,000
3B 5 Uribe $8,000,000
SS 9 Gordon $485,000 team control
LF 21 Rivera $4,000,000
CF 27 Kemp $10,000,000
RF 16 Ethier $10,950,000

IF/OF 6 Hairston $2,250,000
OF 10 Gwynn $850,000
2B/3B 3 Kennedy $800,000
C 18 Treanor $850,000
IF 12 Sellers $485,000 team control

SP 22 Kershaw $6,000,000
SP 58 Billingsley $9,000,000
SP 29 Lilly $12,000,000
SP 35 Capuano $3,000,000
SP 44
Harang $3,000,000

CL 54 Guerra $485,000 team control
RHP 74
Jansen $500,000 team control
RHP 55 Guerrier $4,750,000
RHP 60 Coffey $1,000,000
RHP 66 MacDougal $650,000
LHP 57 Elbert $485,000 team control
RHP 36
Hawksworth $500,000 team control

TJ 41 De La Rosa $485,000 team control



Manny $8,087,432 deferred


Andruw $3,375,000 deferred


Pierre $3,050,000 deferred
Furcal $3,000,000 deferred
Kuroda $2,000,000 deferred
Garland $1,500,000 option buyout
Blake $1,250,000 option buyout

Totals
$112,162,432

For more detailed information, click here.

Players on 40-man roster used as roster
fillers until moves are made.

Current 40-man roster count: 40
(not including Belisario)

2012 Non-Roster Invitees

No Player Age*
63 Jose Ascanio rhp
27
61 Alberto Castillo lhp
36
56 Matt Chico lhp
29
33 John Grabow lhp
33
59 Angel Guzman rhp
30
47 Wil Ledezma lhp
31
72 Shane Lindsay rhp
27
62 Fernando Nieve rhp 29
73 Scott Rice lhp 30
70 Will Savage rhp
27
71 Ryan Tucker rhp
25
28 Jamey Wright rhp
37

30 Josh Bard c 34
82 Griff Erickson c 24
81 Matt Wallachc 26
67 Jeff Baisley 3b/1b 29
65 Luis Cruz ss/2b 28
37 Josh Fields 3b 29
64 Lance Zawadzki if 27
56 Cory Sullivan of 32

*Age on June 30, 2012

NRI count: 20

For more info, click here.


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