**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:

- 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.

Inside-bet Regression Various Steepness Ratios SRR-7 | ||||||

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 | 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.

Inside-bet Regression Various Steepness Ratios SRR-8 | ||||||

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 will be able to take full advantage of your dice-influencing skills.

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

Inside-bet Regression Various Steepness Ratios | ||||||

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*