## Using Different Steepness Ratios

In ** Part Four** of this series, we looked at the
profitability of using a $110-Inside to $22-Inside regression. That equates to a
5:1 regression-ratio.

**of this series explains in detail what regression-ratios are, and how we use them.**

__Part One__Simply stated:

Simply stated:

- The steeper the regression-ratio is;
.*the higher, earlier and more often a net-profit will be secured* - The shallower the regression-ratio is;
*the less frequent and lower our net-profit will be.*

## The Risk of Using *Too LOW* of a Regression Ratio

If we try to go cheap with our betting by not putting out a large enough initial bet (or by flat-betting) when we have the best chance of actually capitalizing on our Precision-Shooting abilities; then it's little wonder why so many accomplished players run into difficulty in exploiting even their most obvious skills.

- If our bets are too low or the regressions that we use are too shallow in ratio; then we'll almost always restrain and unnecessarily retard our advantage-play earnings.
- Most players look at a lower-value/lower-ratio starting-level for their regression as a way of reducing volatility; but in fact, it just makes it harder (or almost impossible) for them to break through to profit on a sustainable basis.
- The lower and closer your Sevens-to-Rolls Ratio (SRR) is to random; the less time (as measured by number of point-cycle rolls) you will have in which to capitalize on your dice-influencing skill. Therefore you have to bet on the fattest part of your roll-duration expectancy curve.

Let's take a look at various ISR steepness-ratios to see how they affect our
average profit per hand.

Ratio | 2:1 | 3:1 | 4:1 | 5:1 | 10:1 |
---|---|---|---|---|---|

InitialLarge Bet |
$44-Inside | $66-Inside | $88-Inside | $110-Inside | $220-Inside |

Subsequent Small Bet |
$22-Inside | $22-Inside | $22-Inside | $22-Inside | $22-Inside |

1^{st} Hit |
$14 | $21 | $28 | $35 | $70 |

2^{nd} Hit |
Post Regression $6.92 Weighted payout | Post Regression $6.92 Weighted payout | Post Regression $6.92 Weighted payout | Post Regression $6.92 Weighted payout | Post Regression $6.92 Weighted payout |

Total Expected Payout | $20.92 | $27.92 | $34.92 | $41.92 | $76.92 |

Remaining Exposed Wagers | $22.00 | $22.00 | $22.00 | $22.00 | $22.00 |

Net-Profit per Hand | -$1.08 |
$5.92 | $12.92 | $19.92 | $54.92 |

Return on Investment | -2.45% |
8.97% | 14.68% | 18.11% | 24.96% |

As you can see on the chart above; combining a regression that is too shallow
(2:1) with a modest SRR, can result in a negative result even though you will
often hit your first paying Inside-Number bet and still be able to make the
regression. What puts this SRR-7 shooter into negative territory is the
fact that he ** won't hit enough** paying Inside-Numbers

**at the regressed $22-Inside mark to make the bet become net-positive.**

*often enough*On the other hand, you can see that if this same SRR-7 shooter simply increases (steepens) the ISR regression-ratio to 3:1, the very same skill-set produces a modest profit.

- As your SRR-rate improves and the steepness of your regression increases; so does your return on investment.

For example, in the chart below, a SRR-8 dice-influencer produces a profit even when employing a shallow 2:1 regression ratio. Obviously though, his bet-flexibility and overall income rises dramatically as his regression-ratio increases.

Ratio | 2:1 | 3:1 | 4:1 | 5:1 | 10:1 |
---|---|---|---|---|---|

Initial Large Bet |
$44-Inside | $66-Inside | $88-Inside | $110-Inside | $220-Inside |

Subsequent Small Bet |
$22-Inside | $22-Inside | $22-Inside | $22-Inside | $22-Inside |

1^{st} Hit |
$14 | $21 | $28 | $35 | $70 |

2^{nd} Hit |
$14 | $21 | $28 | $35 | $70 |

3^{rd} Hit |
$14 | $21 | $28 | $35 | $70 |

4^{th} Hit |
Post Regression $6.69 Weighted payout | Post Regression $6.69 Weighted payout | Post Regression $6.69 Weighted payout | Post Regression $6.69 Weighted payout | Post Regression $6.69 Weighted payout |

Total Expected Payout | $48.69 | $69.69 | $90.69 | $111.69 | $216.69 |

Remaining Exposed Wagers | $22.00 | $22.00 | $22.00 | $22.00 | $22.00 |

Net-Profit per Hand | $26.69 | $47.69 | $68.69 | $89.69 | $194.69 |

Return on Investment | 60.66% | 72.26% | 78.06% | 81.54% | 88.50% |

It is important to note that each SRR-level forces a different bet-reduction trigger point. While the SRR-7 shooter has to immediately regress his large initial bet after just one hit; the SRR-8 dice-influencer can reasonably keep them up at their initial large size for the first three point-cycle rolls before having to steeply regress them.

- As your SRR improves over random, the higher your rate-of-return will be.
- Obviously, the more well-endowed your session bankroll is and the more comfortable you are in using higher-ratio steeper-regression wagers; the more you are able to take full advantage of your dice-influencing skills.

Take a look at the added flexibility that a SRR-9 dice-influencer enjoys.

Ratio | 2:1 | 3:1 | 4:1 | 5:1 | 10:1 |
---|---|---|---|---|---|

Initial Large Bet |
$44-Inside | $66-Inside | $88-Inside | $110-Inside | $220-Inside |

Subsequent Small Bet |
$22-Inside | $22-Inside | $22-Inside | $22-Inside | $22-Inside |

1^{st} Hit |
$14 | $21 | $28 | $35 | $70 |

2^{nd} Hit |
$14 | $21 | $28 | $35 | $70 |

3^{rd} Hit |
$14 | $21 | $28 | $35 | $70 |

4^{th} Hit |
$14 | $21 | $28 | $35 | $70 |

5^{th} Hit |
Post Regression $6.86 Weighted payout | Post Regression $6.86 Weighted payout | Post Regression $6.86 Weighted payout | Post Regression $6.86 Weighted payout | Post Regression $6.86 Weighted payout |

Total Expected Payout | $62.68 | $90.86 | $118.86 | $146.86 | $286.86 |

Remaining Exposed Wagers | $22.00 | $22.00 | $22.00 | $22.00 | $22.00 |

Net-Profit per Hand | $40.86 | $68.86 | $96.86 | $124.86 | $264.86 |

Return on Investment | 98.86% | 104.33% | 110.07% | 113.51% | 120.39% |

** Part Six** of this series adds a whole new dimension
to regression-based profit-making. I hope you will join me for that. Until then,

**Good Luck & Good Skill at the Tables and in Life.**

*Sincerely,*

*The Mad Professor*