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It's your dutiful Director of Fun, Wink Vavasseur, coming to you again with some exciting new updates! My number-crunchers
have finished entering all the results from this past weekend's "Chikarasaurus Rex" into my patented new CHIKARAbermetrics
program, and some interesting trends are beginning to appear! I'm about ready to use these statistics to make some bold moves, but
before I do that, I want to highlight a few examples from our roster to give you all an idea of how CHIKARAbermetrics works.
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Let's begin by looking at Gran Akuma. He's a good place for CHIKARAbermetrics novices to get their feet wet due to his large
sampling size. Younger, less experienced wrestlers have a tendency to skew the numbers and it takes certain adjustments (factoring
in comparable market wrestler averages, etc.) by CHIKARAbermetrics experts like myself in order to get accurate outcome expectations
and projections. Since Akuma has a long history in CHIKARA, we're able to get a more focused scope of his averages,
allowing us to make certain educated assumptions. For example, he has very good Tag-Independent Earned Pin Average (TIEPA), which
removes outcomes where one of his tag partners were pinned, an instance that he would have no control over, giving us a reflection
of his individual ability to gain a pin in a match, regardless of who he's teamed with. He also has a higher-than-normal Pin Average
on Matches to Completion (PAMC), a desirable statistic that gives a wrestler's average in matches that go to completion, removing
shenanigans that result in disqualifications. The equation for PAMC is:
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P INF
PAMC = --------------------------
M L INF + CO
where P is pins, INF is interference, M is total matches, L is losses, and CO is count outs.
Of course, Gran Akuma's numbers ran into an unquantifiable variable in the form of an injury. However, his pre-injury statistics
coupled with his adjusted post-injury averages put him in the category of "Undervalued Post-Injury Sleeper", certainly one to keep
your eye on.
The statistics show that Gran Akuma would make a great pairing with my next example, a tag team who also happen to be undervalued
at the moment. 3.0, made up of tag partners Shane Matthews and Scott "Jagged" Parker, gives us another decent sample size to look at.
One thing to keep in mind about 3.0 (and this is the reason they're considered undervalued) is that their numbers are adjusted using the
current Canadian conversion rate. Due to this, and factoring in the weak American dollar, their tag team value is just below that of
comparable American tag teams on the market, despite recently holding the tag team belts. Normally, this devaluing would be a detriment;
to me and my math wizards, however, this is a situation ripe for success! They both have average TIEPA numbers, meaning that they're just
as likely to win or lose a match as their partner, but their real strength is their high Tag-Dependent Value Over Replacement Wrestler
(TDVORW) numbers. Looking at their separate statistics, both Parker and Matthews are considered moderate singles
wrestlers, but together, they push each other's value well above average. You could say their average is more than the sum of their
parts divided by two!!
Adding Akuma into this equation should give 3.0 the added power numbers they need, while using their strengths to raise his team
value. It's a mathematical win-win scenario and I look forward to seeing them succeed and proving my
CHIKARAbermetrics program to be the ultimate tool for projecting wrestling outcomes!
In conclusion, this new team looks great on paper; they'll look even better in the ring. Trust me, you'll see in Syracuse!