Warrior General Games

Here are the Eastern Conference Power Rankings following the fifth week of non-simulated games:

WITHOUT CONSIDERING MARGIN OF VICTORY:
RANK TEAM (W-L) - Rating (change from last week)
1 Canadian Bacon (5-0) - 4.64 (+1)
2 Paradise Cheeseburgers (4-1) - 4.48 (-1)
3 Aspermont Roughnecks (4-1) - 4.21 (+1)
4 Lumberjack City Yaks (4-1) - 4.20 (-1)
5 Prince Edward Island Sharks (4-1) - 4.19 (+1)
6 Willow Creek Phantoms (3-2) - 4.02 (+3)
7 Medicine Hat Witch Doctors (3-2) - 3.98 (+1)
8 Halifax Fire (3-2) - 3.84 (-3)
9 Vancouver Valiants (3-2) - 3.79 (-2)
10 Moose Jaw Mice (2-3) - 3.46 (same)
11 Edmonton Moose (2-3) - 3.39 (same)
12 Sherbrook Colonels (1-4) - 3.17 (+2)
13 Hudson Bay Trappers (1-4) - 3.16 (same)
14 Egyption Ratburgerer (1-4) - 2.97 (-2)
15 Old Milwaukee Boob Punch (0-5) - 2.67 (+1)
16 District Challangers (0-5) - 2.64 (-1)

FACTORING IN MARGIN OF VICTORY:
RANK TEAM (W-L) - Rating (change from last week)
1 Canadian Bacon (5-0) - 4.93 (+1)
2 Paradise Cheeseburgers (4-1) - 4.56 (-1)
3 Lumberjack City Yaks (4-1) - 4.42 (same)
4 Aspermont Roughnecks (4-1) - 4.34 (same)
5 Prince Edward Island Sharks (4-1) - 4.31 (+1)
6 Willow Creek Phantoms (3-2) - 4.13 (+2)
7 Medicine Hat Witch Doctors (3-2) - 3.94 (+2)
8 Halifax Fire (3-2) - 3.91 (-3)
9 Vancouver Valiants (3-2) - 3.86 (-2)
10 Moose Jaw Mice (2-3) - 3.58 (same)
11 Edmonton Moose (2-3) - 3.45 (same)
12 Sherbrook Colonels (1-4) - 3.13 (+1)
13 Hudson Bay Trappers (1-4) - 3.07 (+1)
14 Egyption Ratburgerer (1-4) - 2.94 (-2)
15 Old Milwaukee Boob Punch (0-5) - 2.28 (same)
16 District Challangers (0-5) - 2.19 (same)

Game of the Week: Vancouver at Aspermont

Willow Creek is better than that #6 spot IMO. The rankings are cool with there record and margin of victory, but if you're in the top 5 or another 3-2 squad you gotta watch out, they're a tough team.

After this start to our season we have high hopes. At this point anything less than undefeated through the championship would be a disappointment. We know we have a good squad, it's just a matter of game planning correctly the rest of the way.

Thanks man! I appreciate you recognizing that. Not many people do. At first I thought Canadian Bacon just had an easy schedule, but after seeing their last two games. I thik they are the real deal. I like how the power rankings are, could you PM me you forula to figure it out? I am interested to see it.

Paradise Cheeseburgers schedule as been BRUTAL!

We're 4-1, and have played the #3 team, #4 team, and the #1 team already.

Crazy stuff

Originally posted by LionsFan0513
Paradise Cheeseburgers schedule as been BRUTAL!

We're 4-1, and have played the #3 team, #4 team, and the #1 team already.

Crazy stuff

Cheeseburgers are just as good in a snowstorm.

Originally posted by cooljesture20
Willow Creek is better than that #6 spot IMO. The rankings are cool with there record and margin of victory, but if you're in the top 5 or another 3-2 squad you gotta watch out, they're a tough team.


Agreed! The next two games should be clear victories for Willow Creek, and with a really good chance at improving on their margin of victory and moving them up the second ranking (although District will hurt the strength of schedule a bit). I'm real interested to see their matchup with the Auburn Tigers at the end of the season. I haven't looked at all of the matchups, but that game and the YellowKnife vs. Lumberjack City matchups might be the games of the week for Week 8.

Originally posted by fixxxer101
I like how the power rankings are, could you PM me you formula to figure it out? I am interested to see it.

Sure, I'll send it now. If anyone wants, I can post it to the forum as well.

I would like to see it, too.

Thanks

Originally posted by jay4roch
I would like to see it, too.

My apologies for the length of this post, but here are the general ranking formulae (which are a work in progress):

I calculate 8 values for each team, namely:

A) Win %
B) Opponents' Win %
C) Opponents' Opponents' Win %
D) Normalized GLB rating (= the GLB rating as shown on the matchup page divided by the maximum GLB rating in the league)
E) Average opponents' normalized GLB ratings (= average GLB rating of opponents/Maximum GLB rating in league)
F) Average of opponents' opponents' normalized GLB rating ( = average GLB rating of opponents' opponents/Maximum GLB rating in league)
G) Average scoring differential(= (Total points scored - total points allowed)/games played).
H) The calculation in G is then normalized. If the value of G is 45 or greater, it is assigned a value of 1.00. If the value in G is -45 or less, it is assigned a value of -1.00. If the value of G is somewhere between 45 and -45, it is divided by 45.

For the ranking that factors in margin of victory, I use values A-F and H to calculate the ranking. For the other ranking, only values A-F are considered. Regardless of the particular ranking, the values each have a maximum value of 1.00. The values are weighted so that the maximum total rating for a team is 6.00 (with margin of victory) or 5.50 (without margin of victory).

The particular ratings formulas with their weighted values are:

Rating (with margin of victory) = 2A + 1.25B + 0.25C + D + .75E + .25F +.5H
Rating (without margin of victory) = 2A + 1.25B + 0.25C + D + .75E + .25F

Just by way of example, here is how the margin of victory formula worked out for the Canadian Bacon this week:
Rating = (2*1.00) + (1.25*0.44) + (0.25*0.58) + 1.00 + (0.75*.94) + (0.25*.96) + (0.50*.57) = 4.93

I obviously could change the weights around to get different results, and am considering some other changes, particularly to the calculation of margin of victory, but all of that will require more time so I'll probably hold off until the off season.

Originally posted by iguazu_cn
Originally posted by jay4roch

I would like to see it, too.

My apologies for the length of this post, but here are the general ranking formulae (which are a work in progress):

I calculate 8 values for each team, namely:

A) Win %
B) Opponents' Win %
C) Opponents' Opponents' Win %
D) Normalized GLB rating (= the GLB rating as shown on the matchup page divided by the maximum GLB rating in the league)
E) Average opponents' normalized GLB ratings (= average GLB rating of opponents/Maximum GLB rating in league)
F) Average of opponents' opponents' normalized GLB rating ( = average GLB rating of opponents' opponents/Maximum GLB rating in league)
G) Average scoring differential(= (Total points scored - total points allowed)/games played).
H) The calculation in G is then normalized. If the value of G is 45 or greater, it is assigned a value of 1.00. If the value in G is -45 or less, it is assigned a value of -1.00. If the value of G is somewhere between 45 and -45, it is divided by 45.

For the ranking that factors in margin of victory, I use values A-F and H to calculate the ranking. For the other ranking, only values A-F are considered. Regardless of the particular ranking, the values each have a maximum value of 1.00. The values are weighted so that the maximum total rating for a team is 6.00 (with margin of victory) or 5.50 (without margin of victory).

The particular ratings formulas with their weighted values are:

Rating (with margin of victory) = 2A + 1.25B + 0.25C + D + .75E + .25F +.5H
Rating (without margin of victory) = 2A + 1.25B + 0.25C + D + .75E + .25F

Just by way of example, here is how the margin of victory formula worked out for the Canadian Bacon this week:
Rating = (2*1.00) + (1.25*0.44) + (0.25*0.58) + 1.00 + (0.75*.94) + (0.25*.96) + (0.50*.57) = 4.93

I obviously could change the weights around to get different results, and am considering some other changes, particularly to the calculation of margin of victory, but all of that will require more time so I'll probably hold off until the off season.

What do you use to determine the weights?

Thanks for sharing.

Originally posted by jay4roch
What do you use to determine the weights?

Certainly nothing scientific. The weights are somewhat arbitrary, and are based on some trial and error. In essence, I took a league I was in last season and applied different weights to the pre-playoff results. In looking over the different rankings, I basically applied a gut check on how they looked and refined the weights until I got something that was easy to apply and that gave what I thought was a fairly accurate depiction of how the league stacked up.

Thanks. Great formula. Nice work.

Excellent formula, you really put some hard work into that, very well done!

how was the game of the week not the Bacon/Cheeseburgers game? it was for #1 in the conference! =p

That was last weeks game, tonights game is the one he listed there.