Super Bowl XLV Prediction Games Results: 49erLou Champion

Congrats to 49erLou for winning our Prediction Championship.  Much like the Packers 49erLou was only in the mix late in season before going on tear that wouldn't end until crowned champion.  I'm not sure who the past winners are but Niners Nation will have to scribe your name down somewhere to eternalize you forever.  Hats off to the other finalist who made this a nail bitter: leaping_larry, illini49er and wjackalope who braved picking the underdog Pittsburgh.  Of course thanks to everyone who participated in the game throughout the season, it makes this such a special contest on our blog.

Our BIT winner is jtoj slightly edging 49erLou from a Double Rainbow Championship.  jtoj needed every last point to fight off 49erLou for the best playoff predictor.  We won't be scribing your name on the website but I'm sure someone can dig up a kitten gif involving a trophy for ya.  Congrats to jtoj who was best known for patrolling the prediction contest bullying those who picked against the 49ers, now add the BIT title to your mantle. Thanks all for the big jump in participation for the Super Bowl!

Not much to write about after this ... just going to post the scores and roll the credits.  Thanks for a great season. 2011 Go 49ers!  I like Harbaugh's offense matching up against all the 3-4 defenses in the league.

Playoff Pool Contest

Playoff Pool Leader Board

Playoff Pool Big Board

BIT Contest

Pittsburgh Steelers @ Green Bay Packers

1. J2daZ, Adusoron (2)
2. mikeinsp (4)
3. Yeti Monster, Str8Balr, NinerFanDan, jtoj, AzNiner, overbored (6)
4. 49erLou, demise, Classy_Argonaut, Dilon (8)
5. imjuliooo89, Rabbit T, sf49ers123, leaping_larry, David Fucillo (Fooch) (10)

BIT Leader Board

BIT Big Board

Closing Credits

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.