Introducing the OPR: OIL Power Rating

The Formula

The Oberon Mt. Power Rating Formula attempts to give commissioners and owners alike a tool to predict a fantasy team's potential performance by not only looking at their average score, but also factoring in intangibles such as an owner's managerial skills (using winning percentage) and luck (good teams losing to the hot team of the week and poor teams beating better teams having a down week). We've had some great feedback from commissioners and owners from around the country about the Oberon Mt. Power Rating for fantasy football teams. Some thought the idea was great, and others hated it, mostly because their PR's didn't live up to their records. That's okay. Everyone has their own opinion and this is something you'll use if you want to gage a team's success or failure by means other than just their average score or just their record.

I want to mention, and thank, the many Fantasy Leagues that have begun using our Oberon Mt. Power Rating Formula. A growing list of those that have contacted me can be found in the right-hand column below, along with links to their leagues when available.

Oberon Mt. Power Rating Formula

If this is your first visit here, the Oberon Mt. Power Rating Formula combines Average Score (60%), Highest Score plus Lowest Score (20%), and Winning PTC. (20%) to come up with a team's Power Rating for use in comparing teams both in the same league and in different leagues in ways other than just by Win-Loss Record (comparing teams in different leagues requires a little extra work, see below). The Oberon Mt. Power Rating Formula is sure to provoke endless hours of trash-talkin' and one-upsmanship!

If your league decides to use it, please drop me a note at oberonmtffl [at] gmail.com and I'll add you to our list . . . oh, and tell your FFL friends!

Besides comparing teams in the same league during the same season, our Power Rating is handy for comparing teams from previous seasons (same-sized leagues only). Simply plug the stats from the older team into the formula and you can get an idea who had the best team of all time in any particular league. A feature certain to spark hours of entertaining debate. (If there have been major scoring rule changes, simply treat them as different leagues - see Multi-League Protocols below)

The Math

(avg score x 6) + [(high score + low score) x 2] +[ (winning % x 200) x 2]
10

In English:
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#1. Multiply the team's average score by six. Average score is the very basic stat to judge a team's prowess.

#2. Add the team's highest score to their lowest score (Deviation), and multiply the result by two. Over and above the average score, the Deviation gives more importance to a team's highest scoring game, while also punishing a team a little more for their lowest score.

#3. Take the owner's winning percentage and multiply by 200, then multiply that by two.** This portion of the Formula more than anything rewards and punishes for all the little intangibles associated with coaching a fantasy team. For instance, an owner that continues to win despite a less-than-impressive lineup is rewarded over and above their lagging average score. On the other hand, an owner that loses because he starts players on their bye week, or leaves injured players in their lineup, suffers twice . . . from points not scored by missing players and for the resulting losses.

#4. divide the total by 10.

** I know, multiplying by 200, then by two is the same as multiplying by 400, but doing this way shows that multiplying the winning ptc. by 200 first results in a number in the general area of the raw average score and raw deviation. Then multiplying the result by two shows the 20% weight.

The result is the Power Rating . . . or, if you like, the Potential Rating, since it actually is meant to judge the potential score a team might be expected to score on any given weekend compared to its average score. Remember, as the season progresses, a team's average score changes more and more slowly as the number of games included increases. The Power Rating formula takes not only the average score into account, but also recent extreme high or low scores, and winning or losing trends. Obviously, you will need a few weeks of data before a viable PR can be arrived at. We don't start reporting Power Ratings until after Week 3 games.

Definition of Terms:

Average score - Total of a team's points scored divided by the number of games played.

Deviation - Take the team's highest score and add to it the team's lowest score.

Winning Percentage. - Divide the team's number of wins by the number of games played.