GAM 470

Probabilities in Derby and Sports Futures

 

Derby is a horse racing game found near many sport books. The game has five horses are the player bets on one of the combin(5,2)=10 possible quinellas. A quinella is a bet on the first and second place horses, in no particular order. The wins are different every time but following is an example.

Quinella

Pays (for one)

1, 2

5

1, 3

39

1, 4

200

1, 5

19

2, 3

4

2, 4

20

2, 5

2

3, 4

160

3, 5

15

4, 5

79

 

To determine the expected return of Derby first assume that it is the same on all bets. Then imagine placing a bet of 1/x on each quinella, where x is the payoff odds on that horse, on a "for one" basis. In this case regardless of which horse won the player would get back 1 unit. The amount spent on wagers, in the above example, would be 1/5 + 1/39 + 1/200 + … + 1/79 = 1.168847. So as in any bet the expected return is the ratio of the amount the player can expect to get back to the amount bet. In this case 1/1.168847 = 0.855544 = 85.54%. The house edge is thus 1 - 0.855544 = 0.144456 = 14.46%.

The next table shows all the details for this particular race.

Quinella

Pays (for one)

Inverse of Win

Fair Probability

Fair Odds

1, 2

5

0.200000

0.171109

5.844237

1, 3

39

0.025641

0.021937

45.585052

1, 4

200

0.005000

0.004278

233.769500

1, 5

19

0.052632

0.045029

22.208102

2, 3

4

0.250000

0.213886

4.675390

2, 4

20

0.050000

0.042777

23.376950

2, 5

2

0.500000

0.427772

2.337695

3, 4

160

0.006250

0.005347

187.015600

3, 5

15

0.066667

0.057036

17.532712

4, 5

79

0.012658

0.010830

92.338952

Total

1.168847

1.000000

 

 Inverse of win: How much the player must bet for a return of 1.

Fair probability: The actual probability of winning.

Fair odds: What the bet should bet to have a 100% return.

The expected return is the inverse of the total "inverse of win" column. In this case 1/1.168847 = 85.54%.

 

Next let’s look at a futures bet. Unlike Derby sports futures pay on a "to one" basis. I think it is easier to understand them if you convert the odds to a "for one" basis, by adding 1 to each win. Then take the inverse of each win. The sum of these inverses is how much you have to bet to be guaranteed a return of 1. So in the example below the expected return is 1/1.3336 = 74.99%, i.e. the house edge is 25.01%. The "fair probability" column is the actual probability of winning, assuming each bet had the same house advantage. Both "fair odds" columns are what the bet should be to have a 100% expected return.

2005 National League Championship

Team

Wins

(to one)

Wins

(for one)

Inverse of win

Fair probability

Fair odds (for one)

Fair odds (to one)

Arizona Diamondbacks

25

26

0.0385

0.0288

34.6736

33.6736

Atlanta Braves

6

7

0.1429

0.1071

9.3352

8.3352

Chicago Cubs

4

5

0.2000

0.1500

6.6680

5.6680

Cincinnati Reds

30

31

0.0323

0.0242

41.3416

40.3416

Colorado Rockies

250

251

0.0040

0.0030

334.7333

333.7333

Florida Marlins

6.5

7.5

0.1333

0.1000

10.0020

9.0020

Houston Astros

13

14

0.0714

0.0536

18.6704

17.6704

Los Angeles Dodgers

15

16

0.0625

0.0469

21.3376

20.3376

Milwaukee Brewers

150

151

0.0066

0.0050

201.3734

200.3734

New York Mets

5

6

0.1667

0.1250

8.0016

7.0016

Philadelphia Phillies

13

14

0.0714

0.0536

18.6704

17.6704

Pittsburgh Pirates

90

91

0.0110

0.0082

121.3575

120.3575

San Diego Padres

12

13

0.0769

0.0577

17.3368

16.3368

San Francisco Giants

6

7

0.1429

0.1071

9.3352

8.3352

St Louis Cardinals

5

6

0.1667

0.1250

8.0016

7.0016

Washington Nationals

150

151

0.0066

0.0050

201.3734

200.3734

Total

1.3336

1.0000

Source: Bodog