Another night of bowling has concluded and your team came out on top. How sweet it is, that incredible taste of victory. But, come to think of it, did anyone on your team bowl particularly well? No? Hmm. Did you really just win those games...or did the other team perform so poorly that you were handed those victories the same way a charity doles out money and resources to the poor? Well, now you can find out with The Over/Under Factor!*

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Spring 2012 - Week 9
March 13, 2012

Matchup 1 : Lanes 19 & 20
Team 5: Brown Belt Jones G1 G2 G3 Series Average: 847 Under Over Under Under Wins:  1.25 - Legit - -	Team 6: X-Men G1 G2 G3 Series Average: 777 Over Under Under Under Wins:  3.75 Legit - Charity Charity

Results: Brown Belt Jones had 0 charity wins, X-Men had 2 charity wins.

Matchup 2 : Lanes 21 & 22
Team 7: Ballsagna G1 G2 G3 Series Average: 617 Under Under Over Under Wins:  0 - - - -	Team 8: The Turkey Hunters G1 G2 G3 Series Average: 844 Under Under Over Under Wins:  5 Charity Charity Legit Charity

Results: Ballsagna had 0 charity wins, The Turkey Hunters had 3 charity wins.

Matchup 3 : Lanes 23 & 24
Team 3: Splits or Swallows? G1 G2 G3 Series Average: 682 Under Under Over Under Wins:  3.75 - Charity Legit Charity	Team 4: Bowled to Death G1 G2 G3 Series Average: 623 Under Under Over Under Wins:  1.25 Charity - - -

Results: Splits or Swallows? had 2 charity wins, Bowled to Death had 1 charity win.

Matchup 4 : Lanes 25 & 26
Team 1: Strange Bedfellows G1 G2 G3 Series Average: 863 Even Under Under Under Wins:  1.25 Legit - - -	Team 2: ACE2S G1 G2 G3 Series Average: 602 Under Over Over Over Wins:  3.75 - Legit Legit Legit

Results: Strange Bedfellows had 0 charity wins, ACE²S had 0 charity wins.

SPRING 2012 CUMULATIVE OVER/UNDER FACTOR AS OF WEEK 9...

Team	Charity Wins	Currently in...	Should be in...
The Turkey Hunters	+6	1st	1st
ACE2S	+5	6th	6th
Splits or Swallows?	+5	5th	5th
Strange Bedfellows	+5	3rd	3rd
Bowled to Death	+4	7th	8th
X-Men	+4	4th	4th
Ballsagna	+1	8th	7th
Brown Belt Jones	+1	2nd	2nd

* So how do we calculate this? It's really quite simple. It's all based on whether or not your team hits its team average or not. For a deeper explanation, check this out.