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TITLETOWN - A Decade Long Celebration Of The Greatest Achievement In College Athletics History => Kansas State Football => Topic started by: CHONGS on October 19, 2014, 04:33:09 PM
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:ksu: :ksu: :ksu: :ksu: :ksu: :ksu:
ChiMERA thinks the Cats have a good shot at a 10-2 season!
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CHIMERA do K-State v. TCU!
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AS OF TODAY:
Kansas State 32 TCU 35
:ohno:
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AS OF TODAY:
Kansas State 32 TCU 35
:ohno:
Throw that deceitful machine of yours in the garbage!
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Could you be so kind as to show a key for what the abbreviations mean? Some are obvious, others not so much. Pleeeease? :pray:
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Below are straight from the box scores/stats:
P/G = Points Scored/Game
P/Ps = Points Scored/Possession (avg number of points scored each offensive/special teams possession)
Def. P/G = Points Allowed/Game
Def. P/Ps = Points Allowed/Possession (avg number of points allowed each defensive/special teams possession)
Net P/Ps = Points Scored (or Allowed if negative)/Possession (avg points gained/lost every possession)
These are adjusted stats (They are adjusted to a common baseline [the "average" FBS opponent] by taking into account the opponents stats relative to the mean.):
Adj. P/Ps = Adjusted Points Scored/Possession (essentially expected P/Ps against an average FBS defense)
Adj. Def. P/Ps = Adjusted Points Scored/Possession (essentially expected Def. P/Ps against an average FBS offense)
Adj. Net P/Ps = Points Scored (or Allowed if negative)/Possession (essentially expected Net P/Ps against an average FBS offense)
WQ = Win/Loss Quality (A measure of "quality" based on actual accomplishments. You get more credit for beating a "good" team than losing to one, and less penalty for beating a "bad" team than losing to one. In a sense this is like a strength of schedule measure, but I dislike the common idea that simply losing to good teams means that you "might" be good. You need to actually beat a good team for a strong schedule to matter. The result is scaled to be a max of 1 each week).
Rating = Expected Win%. (Given an Adj. Net P/Ps its pretty easy to project an expected win% against an average team. To this expected win% a bonus is added based on WQ. The actual real-life win% for the team is accounted for as well to come up with the final rating).
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Thanks, purple pal! :cheers:
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hard to argue SEC bias when all the computers match up:
(snowbrag)
1 Mississippi
2 Mississippi State
3 Auburn
4 Alabama
5 Georgia
6 Marshall
7 Oregon
8 Michigan State
9 Ohio State
10 Florida State
11 Notre Dame
12 TCU
13 Nebraska
14 LSU
15 Oklahoma
16 Baylor
17 Clemson
18 Duke
19 Arizona
20 UCLA
21 USC
22 Kansas State
23 Minnesota
24 Louisville
25 Georgia Southern
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Maybe you idiots need to get rid of the formula line IF"SEC"=yes,THEN+10000
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Texas Instruments must employ mostly aggies.
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Its mostly a scheduling thing. It will even out as the year progresses.
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Can we see this for the SEC? tia
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Can one of you math wizards help to explain how the hell Sagarin still has OU at 6 ahead of TCU (7), Baylor (8) and the 'Cats at 14?!?!?
:sdeek:
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Do you guys have to go through and input all the data for every team every week?
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Do you guys have to go through and input all the data for every team every week?
manually? nope. I just have to re-run my code on sunday and it pulls in all of the updated stats from online sources.
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DLew i can't even embed a video
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Interesting. This is a lot more techie than I thought.