John wins consistently but still his opponents refuse to realize that they are paying him thousands

3. Edge Odds or Edge Percentages (12)

Edge odds indicate the relative performance of a player in a poker game. These odds are calculated by the following formula:

average winnings (or losses) of player, $ x 100% = Edge Odds % [ 10 ] average winnings of the biggest winner, $

For example, if the biggest winner of each game averages plus $150, and if a player averages plus $75 per game, then the edge odds for this player are +75/150 x 100% = +50%. The more games used to calculate edge odds, the more significant they become. Edge odds based on ten or more games should reflect the relative performance of a player fairly accurately. The good poker player usually maintains edge odds ranging from 25 percent to 65 percent, depending on the game and abilities of the other players. An approximate performance grading of poker players based on the edge odds is tabulated in Table 5.

TABLE 5 EDGE ODDS

Grading

Edge Odds in Games without a Good Player

Edge Odds in Games with a Good Player

Good player

N/A

25 -- 65

Sound player

10 -- 25

5 -- 20

Average player

0 -- 15

(-5) -- 10

Weak player

(-10) -- 5

(-15) -- 0

Edge odds are estimated for an average seven-man game.

The good player is a very expensive person to have in a poker game, as indicated by the sharp decreases in everyone's edge odds when he plays.

In a black leather notebook, John Finn keeps records of every player. After each game, he estimates their winnings and losses. After every ten games, he calculates their edge odds, as shown below:

Ten-Game Average Edge Odds, %

Player

Estimated Average Win or Loss per Game, $

Edge Odds*

%

Grading

John Finn

+ 262

+ 59

Good

Quintin Merck

+ 45

+ 10

Sound

Scotty Nichols

- 10

- 2

Average

Sid Bennett

- 95

- 21

Poor

Ted Fehr

- 100

- 22

Poor

Other Players

- 135

- 30

Poor

  • The biggest winner for each game averaged +$445.
  • The biggest winner for each game averaged +$445.

By reviewing his long-term edge-odds data (shown below), John notices slow changes in the players: Quintin is gradually improving, Scotty and Ted are deteriorating. while Sid remains stable.

Ten-Game-Average Edge Odds, %

Ten-game period #

1

2

3

4

5

6

7

John Finn

+ 61

+ 53

+ 62

+ 59

+ 55

+ 60

+ 56

Quintin Merck

- 2

+ 2

- 5

+ 10

+ 8

+ 12

+ 15

Scotty Nichols

+ 4

+ 7

+ 6

- 2

+ 1

- 10

- 18

Sid Bennett

- 22

- 20

- 23

- 21

- 20

- 18

- 12

Ted Fehr

- 18

- 20

- 19

- 22

- 28

- 30

- 31

Other Players

- 23

- 24

- 26

- 30

- 25

- 22

- 20

Average biggest winner, +$

295

315

430

445

570

650

630

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