Freddie "The Beard" Bentivegna A true legend

I think there is a lot of revisionist, well after the fact, BS going on here now that the two dudes are gone.

Freddy may have respected SJD but he hated him and his comments.

I personally recall telling Freddy it would be a crime for him to leave SJD out of his Encyclopedia of Pool Hustlers but he would not relent and purposely left him out.

Lou Figueroa

Why doesn't Aramith do a better job with proof of authenticity with their packaging?

Don't see a specific Aramith seller / store listed after doing an "Aramith" search on Amazon and it only shows these 7 sellers:

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You are correct. I was looking at something I bought and in the description it said "visit the aramith store", but that link is not to an aramith store. interesting. maybe its gone. maybe something shady. i don't know.

What happened to the old Predator Cues designs? Ikon, Throne, Panthera, Maestro

Kind of like hookers. Once they’ve been played out in sales, a new one is added to the stable to keep the customers spending more money. Because to Predator, money spending by customers is GOOD, it’s not about a better model, just a new model that will keep sales moving.
Yup.. golf has been doing it for years lol I always felt predator just follows golf model.

Average Number of Wins by the Loser, Race to Ten, UK Open

I was clicking through the UK Open results, looking for a specific player, and thought, "Wow, a lot of these matches are blowouts."
That got me to wondering, "How many games does the loser win, on average, in a race to 10?"


So, before you read on, guess how many games you think the average loser won in the UK Open, Races to 10...




Across the 124 matches played in the second round, all races to 10 and going from 128 players down to 4 (then they extended the races), the average loser won almost exactly 5 games (5.008)*.

In the round of 128, the loser won 4.84 games.
In the round of 64, the loser won 4.72
In the round of 32, the loser won 5.81
In the round of 16, the loser won 4.63
In the round of 8, the loser won 7.5

Total wins for the losing player, for all 124 games (race to 10):

Won ZERO games: 4 times
1 game: 8 times
2 games: 8 times
3 games: 17 times

(Maybe we would say the loser got blown out in 29.8% of the matches)

4 games: 21 times
5 games: 10 times
6 games: 15 times
7 games: 17 times

(Maybe we would say the loser was competitive in 50.8% of the matches)

8 games: 13 times
9 games: 11 times

(Maybe we would say the loser suffered a narrow defeat in 19.6% of the matches)

So, any surprises there, or is this what you would have expected? I thought the average losing score would be closer to 6 games, and there were more blowouts than I would have anticipated.

*If scores randomly distributed we could expect an average losing score around 4.5 games, but losing scores could skew higher, given that the players reaching round two could be fairly heterogeneous in ability.

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