As I stated so wisely in my 2016/17 statistics: “competition exists only with yourself.” Let’s see how I fared:
- 815 approaches
- 221 numbers
- 37 dates
- 14 lays (plus another Daygame lay but the approach was done in 2017, so it doesn’t count for the ratios)
- 3.7 approaches to each number close
- 22 approaches for each date
- 58 approaches to each lay
- 38% date conversion
- Average number of dates for the lay: 1.1
- Three 8s
- Six 7s
- Five 6s
- Average quality: 6.9
- Youngest: 19, Oldest: 30, Average: 23.9
Let’s look at the headline figure as it has implications for everything else: approach to lay ratio. On the surface, it’s rosy: it was 82:1 in 2016/17 and this year it was 58:1. But now let’s dig a little deeper. The quality dropped ever so slightly from 7 to 6.9 but that’s passable. The extra effort put into laying a 7 over a 6 wouldn’t have increased the A:L by much. But it is best practice to have at least an average of 7, so this will definitely be a necessary condition for next year. I would chalk this up to the summer heatwave and my increased desire for SDLs which meant I was on the hunt for easier targets. I think in 2019 I’ll be having a policy to not Daygame when it’s too hot for me as it can just be a waste of time.
As far as average age is concerned: it increased by 1.2 years and I got 1 year older. You can look at this a number of ways but lower is better, of course (but not too low!). Being a year older slightly increased my SMV and so should have made laying girls easier. On the other hand, my age is passing into the boundaries where girls (women?) who are older than 25 are not dismissing me immediately. In fact this year I slept with the oldest woman I’d ever slept with and if I drop the two 30 year old outliers the average goes back down to 22.8 which is near identical to the year before.
What about the actual number of lays? I’m beyond the one lay a month rule and so the question becomes what is the optimal A:L/#lays combination. Not having the same number of Daygame lays as 2017 is fine and of course the A:L would have suffered had I churned out the sets required. In 2017 I was still benefiting from my own Beginner’s Euphoria and so it was easy to do lots and lots of them. Not having that same burning energy contributed to this year’s sophomore slump. What’s interesting is when it comes to the actual time I spent Daygaming. I’ve been out for nearly as much time as I was before except this year I was doing much fewer sets. I imagine this trend will continue.
The standout success is the improvement in the date conversion ratio. Last year it was 26% and this year it was a whopping 12 percentage points higher (and I’m aware of how nerdy that reads). Improving my dating was one of my goals for 2019 and I achieved that by first keeping stats on my dates: number of dates, kisses, bouncebacks, and lays. The full stats for my dates are included in a previous post. Keeping stats and then writing date reports drew my attention to the process and naturally I got better. The average number of dates per lay dropped as well. This year it was rare that my lays came beyond the first date, and the reasons why are discussed in my previous post on abundance.
Another interesting observation I’ve found is that my approach to number close and approach to date are static from last year. This suggests my performance on the street is similar but the filtering is more effective for who actually turns up on a date.