Super Bowl Round Prediction Games Results

All hail our two new prediction champions. Ya, we ended up with two. Both ended up with the same raw score for their Super Bowl prediction and neither submitted a tiebreaker. I am not one to parse intent like a Constitutional scholar when no clarity on the rule(s) exists, therefore I have named both Stupifyed and Str8Balr winners. Congrats for winning the Prediction Contest. All of us look forward to the awkward dual acceptance speech.

Also a congratulations to our BIT winner leaping_larry. No playoff birth this year but he got his revenge in the playoffs. Also honorable mention again to manraj7 for winning the regular season although the competition committee has vowed to never let that happen again.

Sorry the late results, scheduled myself four times to get this done and each time a bit of emergency came up. Glad to finally have this pseudo-jinx post off my back.

Playoffs

Super Bowl Round Scoring Recap

New York Giants @ New England Patriots

1. Stupifyed, Str8Balr (20)

Super Bowl Round Results

Super Bowl Round Big Board Predictions (check your scores)

BIT Results

Super Bowl Round Scoring Recap

New York Giants @ New England Patriots

1. 49erLou, grantmp, manraj7 (6)
2. Ni9er (8)
3. kailuakid9er, J2daZ, mikeinsp, leaping_larry (12)
4. Only In Fairfax (14)
5. these3words, wjackalope (18)

Super Bowl Round Leader Board

Super Bowl Round Big Board Predictions (check your scores)

Scoring Explained

Your prediction has these same three components as the actual game score.

1) If you predict the correct winner for an individual game, we will score your prediction against the actual game. If you predict the incorrect winner for an individual game, your prediction will not be scored.

2) Ideally, you will predict the exact point differential of the actual game. Say, for example, this is 45. If you predict a score with a PD of 45, the difference between your predicted PD and the actual PD is 0 (45 - 45 = 0). The worse your prediction, the greater that difference becomes. Therefore, the closer the difference is to zero, the better.

3) Ideally, you will predict the exact point total of the actual game. Say, for example, this is 65. If you predict a score with a PT of 65, the difference between your predicted PT and the actual PT is 0 (65 - 65 = 0). The worse your prediction, the greater that difference becomes. Therefore, the closer the difference is to zero, the better.

So, assuming that you predict the correct winner of the individual game, we simply add the difference between your predicted and the actual PD to the difference between your predicted and the actual PT. The closer this total is to zero, the better your prediction is. A zero exactly will always be a perfect prediction.

pPD = Predicted Point Differential
aPD = Actual Point Differential
pPT = Predicted Point Total
aPT = Actual Point Total
x = Subscore

|pPD - aPD| + |pPT - aPT| = x

That total becomes your subscore for each individual game. These subscores are then ranked, and the five best (including ALL ties) are awarded points. Perfect predictions are awarded 10 points. If the highest subscore for a particular game is not a perfect prediction, it is awarded 5 points. Points then follow in descending order, so that all of the second best predictions get 4 points, the third best all get 3 points, and so on.

This is a FanPost, it does reflect the views of Niners Nation's writers and editors. It does not reflect the views of this particular fan though, which is more important than the views of Niners Nation's writers and editors. Any contradictory disclaimers below this one are bold face lies and should be ignored.