Warrior General Games

*** SEASON 3 - PROJECTED STANDINGS ***

*** UPDATED AFTER WEEK 8 ***


~~ Alpha Conference ~~

Rank.............................W--D--T....PF....PA

1 Team Perkis 15 1 0 689 76
2 Real Macouts Panthers 14 2 0 549 167
3 Wiesbaden Huskies 14 2 0 453 70
4 Southriding Sting Rays 13 3 0 593 209
5 Apocalyptic Fury 12 4 0 323 180
6 Lisbon Lions 9 6 1 403 288
7 Slovakia Reapers 9 6 1 352 250
8 Croatia Croqueters 9 7 0 422 247
9 Amsterdam Panthers 9 7 0 283 240
10 Scoop Troops 8 8 0 319 349
11 West Palm Beach Hurricanes 6 10 0 38% 273 329
12 Las Vegas Thunder 4 12 0 199 297
13 San Marino Longhorns 3 13 0 309 587
14 Vienna Devils 2 14 0 67 620
15 London Death Monkeys 1 15 0 20 783
16 Coventry Cows 0 16 0 32 557



~~ Zeta Conference ~~

1 Nola Big Easies 16 0 0 100% 505 132
2 Rome Gladiators 14 2 0 88% 420 113
3 London Blood Ravens 13 3 0 81% 333 154
4 Jupiter Dolphins 12 4 0 75% 289 153
5 North Yorkshire Federals 12 4 0 75% 437 196
6 Draggin Dragons 10 6 0 63% 399 180
7 Folsom Falcons 10 6 0 63% 455 327
8 Palermo Predators 9 7 0 56% 448 316
9 Amsterdam Chiefs 9 7 0 56% 231 172
10 Gotham City Stormtroopers 7 9 0 44% 274 216
11 Blitzkrieg Bombers 6 10 0 38% 303 311
12 North Georgia Whistlepigs 5 11 0 31% 367 309
13 Naples Assasins 4 12 0 25% 274 370
14 Frankfurt Slashers 2 14 0 13% 185 435
15 Houston 1560 DoubleRods 1 15 0 6% 77 708
16 Zummerzet Zombies 0 16 0 0% 16 920

*** WEEK 9 - PROJECTED SCORES ***

~~ Alpha Conference ~~

Slovakia Reapers 17 x 22 Croatia Croqueters
Real Macout Panthers 06 x 14 Wiesbaden Huskies
London Death Monkeys 03 x 07 Vienna Devils
Las Vegas Thunders 13 x 13 Amsterdam Panthers
Southriding Sting Rays 32 x 20 Lisbon Lions
Coventry Cows 00 x 39 West Palm Beach Hurricanes
Team Perkis 45 x 06 Scoop Troops
Apocalyptic Fury 45 x 09 San Marino Longhorns

~~ Zeta Conference ~~

North Georgia Whistlepigs 10 x 39 Nola Big Easies
Jupiter Dolphins 13 x 10 Gotham City Stormtroopers
Naples Assassins 29 x 13 Frankfurt Slashers
Folsom Falcons 31 x 23 Blitzkrieg Bombers
North Yorkshire Federals 18 x 08 Amsterdam Chiefs
Palermo Predators 11 x 20 Rome Gladiators
London Blood Ravens 72 x 00 Zummerzet Zombies
Houston 1560 DoubleRods 04 x 47 Draggin Dragons

THE CHART USED IN THESE RANKS WAS NOT MADE BY ME

I JUST VOLUNTEERED TO RUN IT AND POST THE RESULTS

I'LL GIVE PROPER CREDITS AS SOON AS I CAN

*** TOUGHEST SCHEDULE SO FAR ***

1 Wiesbaden Huskies
2 Croatia Croqueters
3 Southriding Sting Rays
4 Las Vegas Thunder
5 Team Perkis
6 Scoop Troops
7 Amsterdam Panthers
8 West Palm Beach Hurricanes
9 San Marino Longhorns
10 Apocalyptic Fury
11 Slovakia Reapers
12 Vienna Devils
13 London Death Monkeys
14 Real Macouts Panthers
15 Lisbon Lions
16 Coventry Cows


1 Amsterdam Chiefs
2 Gotham City Stormtroopers
3 Jupiter Dolphins
4 Palermo Predators
5 Folsom Falcons
6 Blitzkrieg Bombers
7 North Yorkshire Federals
8 Rome Gladiators
9 Draggin Dragons
10 North Georgia Whistlepigs
11 Houston 1560 DoubleRods
12 Naples Assasins
13 Nola Big Easies
14 London Blood Ravens
15 Frankfurt Slashers
16 Zummerzet Zombies


*** TOUGHEST REMAINING SCHEDULES ***

1 Real Macouts Panthers
2 Slovakia Reapers
3 Lisbon Lions
4 Apocalyptic Fury
5 Coventry Cows
6 Team Perkis
7 Amsterdam Panthers
8 Vienna Devils
9 West Palm Beach Hurricanes
10 London Death Monkeys
11 Southriding Sting Rays
12 Scoop Troops
13 San Marino Longhorns
14 Wiesbaden Huskies
15 Las Vegas Thunder
16 Croatia Croqueters


1 London Blood Ravens
2 Nola Big Easies
3 Rome Gladiators
4 Zummerzet Zombies
5 Naples Assasins
6 Frankfurt Slashers
7 North Yorkshire Federals
8 Draggin Dragons
9 Blitzkrieg Bombers
10 Houston 1560 DoubleRods
11 North Georgia Whistlepigs
12 Folsom Falcons
13 Palermo Predators
14 Jupiter Dolphins
15 Gotham City Stormtroopers
16 Amsterdam Chiefs

THESE WILL BE UPDATED WEEK BY WEEK

I would like to thank Satchmo-n-Dizzy for making such a great tool and making it available for us. Here's a description of the idea behind the calculations.

The algorithm is actually very simple. It uses a comparative analysis of scores across all games to arrive at factors for each team (expressed as a %). The analysis will easily determine the SoS that a team has played to date vs what said team will play over the remainder of the season. It becomes more and more accurate as the season wears on. However, it has no ability to recognize or account for significant changes to rosters (gutting, recruiting) that may occur during the season.

There is far too little data to arrive at a consensus for week 16 games against the other conference, so it is not unusual to see the algorithm arrive at considerably different conclusions based on the perspective. But within a given conference, the results has been impressive thus far.

The concept...

A team 'A' that averages 56 PF and 6 PA is to play a team 'B' that averages 21 PF and 4 PA. How does one determine the better team going in? By looking at those numbers relative to the teams played to date. Team A's average opponent scores 36 ppg while allowing 28. Team B's average opponent scores 24 and allows 7. That means that Team A scores 200% of the norm allowed against its opponents while allowing 17%. Team B also scores 300% but allows only 14%.

Simplified, the algorithm would take Team A's 200% and multiply it by the 4 PA by Team B (8), then take the 17% and multiply it by 21 (3.5). For Team B it would take 300% and multipy it by 6 (18), then the 14% multipled by 56 (8). The algorithm would then resolve these numbers by taking the mean of each result = Team A will score... (8 + 8) / 2 = 8. Team B will score... (3.5 + 18) / 2 = 11.75. The projection picks Team B.

In practice, the algorithm will look at each game played by a team independently. So upward (or downward) trends will not be tempered by league averages. The determined percentage is, in essence, an average. And, of course, the projected score is and average as described above. However, the numbers that drive the analysis are much more volitile. This allows for greater accuracy based on trends and will typically gain in strength during the season.

I like the prediction but I think you might have over estimated our talent level here

Nice job by the way!

Thanks Guido, damn they predict we are going to have a very bad ending to the season!

I'm a Reaper, I shall bring bad new

Very nice. Great to see somebody doing this.

updated

great stuff man. and i like the #1 alpha team

i appreciate you taking the time here.

4-12 predicted finish for the Whistlepigs???!!! My heart is bleeding, we'd be th ebest 4-12 team EVER

#1 huh. Thanks for all of the work. No pressure right?

All those predictions may change. Those are all based on a program that matches your teams results, the teams you faced results and do the same for your opponent to see who would win.

updated ... if someone could, please post the next games so I can release the projected scores

hell, 12-4 for the AP. Fury? ill take that!