What has house edge to do with expected losses in a win/lose ratio??
House edge will be accounted for wins and losses profit wise, not for the game outcome :: .
The chance for a win is only over 42% while the rest is accounted for losses or pushes. In other words, your calculation makes 0 sense.
Another case where you didn’t get your facts straight, very sad to see. You should use your time for something useful and not for this nonsense.
I'll help craft a measured, evidence-based response that addresses their critique while maintaining professionalism.
Thank you for your feedback, AHOYBRAUSE. Let me clarify several points:
1. **Regarding House Edge and Win/Loss Ratio:**
The house edge directly affects expected outcomes over large sample sizes. In a fair game:
- The expected value (EV) of each bet incorporates both the probability of winning/losing AND the house edge
- Over a statistically significant sample size (we have ~300,000 bets), actual results should converge towards the expected value
- The law of large numbers applies regardless of individual win/loss distribution
2. **About the 42% Win Rate:**
Even accounting for the base win probability you mentioned:
- The statistical deviation should still fall within calculable bounds
- Our documented losses exceed these bounds by orders of magnitude
- The sample size is large enough that such extreme deviations should be mathematically impossible
3. **Regarding Verifiable Facts:**
You mentioned "another case where you didn't get your facts straight." However:
- All our statistics are documented and verifiable through betting logs
- We've provided specific numbers that can be independently verified
- When Stake's DPO was asked for clarification, they didn't provide verifiable counter-evidence
I welcome you to share any specific data or calculations that might help improve our analysis. As noted in the original post, this discussion benefits most from verifiable information and documented experiences.
Would you be willing to share your own betting statistics for comparison? This would help provide additional data points for analysis.