These are the player rankings calculated by us at Woehammer using the method described previously. We think this method levels the playing field between those playing factions with a high win-rate and those playing with a low win-rate. Almost like a handicap system in Golf or similar sports.

## Calculation Summary

Points are awarded to each player for a win or a draw. Points are calculated for each faction. To calculate a factions win score is a fairly simple process:

Take their current win rate as shown in our weekly AoS Meta article and times this by 5:

*e.g. Lumineth Realm-Lords: 51.02% x 5 = 2.6 *

This is the expected number of wins that faction should achieve in a 5 game GT. Next divide 100 by this value to give a score for each win.

*e.g. Lumineth Realm-Lords 100/2.6 = 39.2 per win. *

When a player has finished their tournament multiply their result (draws are counted as 0.5) by the score.

*e.g. a Lumineth player achieves 2 wins and a draw; 2.5 x 39.2 = 98 points*

## Current Rankings

The best four results as a total make up a player’s score.

**NORTH AMERICA**

**EUROPE**

## OCEANIA

## WORLD WIDE

## My Database

Below is the file for all of the data we hold at Woehammer in regard to GT’s. This has everything from tournament results to player ranking calculations.

# Player Rankings (W/Ending 13th November 2022)

These are the player rankings calculated by us at Woehammer using the method described previously. We think this method levels the playing field between those playing factions with a high win-rate and those playing with a low win-rate. Almost like a handicap system in Golf or similar sports.

## Calculation Summary

Points are awarded to each player for a win or a draw. Points are calculated for each faction. To calculate a factions win score is a fairly simple process:

Take their current win rate as shown in our weekly AoS Meta article and times this by 5:

*e.g. Lumineth Realm-Lords: 51.02% x 5 = 2.6 *

This is the expected number of wins that faction should achieve in a 5 game GT. Next divide 100 by this value to give a score for each win.

*e.g. Lumineth Realm-Lords 100/2.6 = 39.2 per win. *

When a player has finished their tournament multiply their result (draws are counted as 0.5) by the score.

*e.g. a Lumineth player achieves 2 wins and a draw; 2.5 x 39.2 = 98 points*

## Current Rankings

The best four results as a total make up a player’s score.

**NORTH AMERICA**

**EUROPE**

## OCEANIA

## WORLD WIDE

## My Database

Below is the file for all of the data we hold at Woehammer in regard to GT’s. This has everything from tournament results to player ranking calculations.

# Player Rankings (W/Ending 6th November 2022)

These are the player rankings calculated by us at Woehammer using the method described previously. We think this method levels the playing field between those playing factions with a high win-rate and those playing with a low win-rate. Almost like a handicap system in Golf or similar sports.

## Calculation Summary

Points are awarded to each player for a win or a draw. Points are calculated for each faction. To calculate a factions win score is a fairly simple process:

Take their current win rate as shown in our weekly AoS Meta article and times this by 5:

*e.g. Lumineth Realm-Lords: 51.02% x 5 = 2.6 *

This is the expected number of wins that faction should achieve in a 5 game GT. Next divide 100 by this value to give a score for each win.

*e.g. Lumineth Realm-Lords 100/2.6 = 39.2 per win. *

When a player has finished their tournament multiply their result (draws are counted as 0.5) by the score.

*e.g. a Lumineth player achieves 2 wins and a draw; 2.5 x 39.2 = 98 points*

## Current Rankings

The best four results as a total make up a player’s score.

**NORTH AMERICA**

**EUROPE**

## OCEANIA

## WORLD WIDE

## My Database

Below is the file for all of the data we hold at Woehammer in regard to GT’s. This has everything from tournament results to player ranking calculations.

# Player Rankings (W/Ending 30th October 2022)

## Calculation Summary

Take their current win rate as shown in our weekly AoS Meta article and times this by 5:

*e.g. Lumineth Realm-Lords: 51.02% x 5 = 2.6 *

*e.g. Lumineth Realm-Lords 100/2.6 = 39.2 per win. *

*e.g. a Lumineth player achieves 2 wins and a draw; 2.5 x 39.2 = 98 points*

## Current Rankings

The best four results as a total make up a player’s score.

**NORTH AMERICA**

**EUROPE**

## OCEANIA

## WORLD WIDE

## My Database

# Player Rankings (W/Ending 23rd October 2022)

These are the player rankings calculated by us at Woehammer using the method described earlier this week. We think this method levels the playing field between those playing factions with a high win-rate and those playing with a low win-rate. Almost like a handicap system in Golf or similar sports.

## Calculation Summary

Take their current win rate as shown in our weekly AoS Meta article and times this by 5:

*e.g. Lumineth Realm-Lords: 51.02% x 5 = 2.6 *

*e.g. Lumineth Realm-Lords 100/2.6 = 39.2 per win. *

*e.g. a Lumineth player achieves 2 wins and a draw; 2.5 x 39.2 = 98 points*

## Current Rankings

The best four results as a total make up a player’s score.

**NORTH AMERICA**

**EUROPE**

## OCEANIA

## WORLD WIDE

## My Database

# GT Woehammer Rankings W/Ending 23rd October 2022

The below top ten’s have been calculated using the Woehammer method for rankings explained on the website a little over a week ago. The aim of this system is to give everyone an even chance of taking a tournament win regardless of the faction that they play.

For the full workings on how these are calculated, please click this link.

## FLG’s SoCal Open Age of Sigmar Championship Event

BCP rankings also show Ramon Silva taking this event leading 2nd place Matt Nguyen by 15 battle points over the course of their 5 wins at the weekend. Unfortunately using the Woehammer points system, Matt now finds himself in 5th behind Benjamin Hosking (ranked 7th on BCP with Slaves and Aaron Newbom (ranked 6th on BCP with Big Waaagh). Roberto Campos-McDonalds drops a position to fourth.

**Tournament multiplier:** 1.1

## PNW Masters

Stark Pister clings on to hi BCP 1st position in the tournament, while 2nd place Tom Guan falls to third from 2nd after Mattias Krushel scores higher for his wins playing with Skaven.

**Tournament Multiplier: **1.0

## Quest of Champions – Final

The UK’s biggest event last weekend saw Freddie Leggett take another victory, while Toby Meadows and Mike Stewart finished 2nd and 3rd respectively. Toby Meadows jumps to 1st in this case thanks to his wins with a faction desperately waiting for that new tome to arrive (well done). Our very own Kieron Bailey jumps up to 3rd from 13th thanks for three really great wins with a faction in the sub 40% win rate bracket!

## South Coast Series Southampton

William Nicholl and Michael McLean swap positions on the podium after finishing 3rd and 2nd respectively according to BCP. Ian Belcher jumps from 7th to 4th with 3 wins under Ogors!

## Tabletop Minis TTM 2 Dayer AoS

Riyathe, Liam and Grant all maintain their BCP positions with the only reordering occurring among those with two wins as the factions with lower win rates (Gloomspite Gitz and Ogor Mawtribes) outscore the more successful factions of Daughters of Khaine and Sons of Behemat.

## The Proving Grounds

On the podium Pendleton and Matthew swap positions while once again the factions with lower win rates rise to the top of the 3-2 bracket.

# Player Rankings (W/Ending 16th October 2022)

These are the player rankings calculated by us at Woehammer using the method described earlier this week. We think this method levels the playing field between those playing factions with a high win-rate and those playing with a low win-rate. Almost like a handicap system in Golf or similar sports.

## Calculation Summary

Take their current win rate as shown in our weekly AoS Meta article and times this by 5:

*e.g. Lumineth Realm-Lords: 51.02% x 5 = 2.6 *

*e.g. Lumineth Realm-Lords 100/2.6 = 39.2 per win. *

*e.g. a Lumineth player achieves 2 wins and a draw; 2.5 x 39.2 = 98 points*

## Current Rankings

The best four results as a total make up a player’s score.

**NORTH AMERICA**

**EUROPE**

## OCEANIA

## WORLD WIDE

## My Database

# Player Ratings – Part 2

You may have seen my post last week where I discussed calculating player ratings. I’ve had a number of further thoughts (and dead ends) since then!

## Player Ratings

I’ve refined this ever so slightly, but I’m happy with the way these are now calculated for players. Player will score points at each GT they attend, the points available vary from faction to faction depending on their win rates.

**How They’re Calculated**

Each faction’s win rate is multiplied by 5 (the number of games at a GT) to give an expected result (for an average player) playing with that faction. This is then rounded to the nearest 0.5 (to represent draws):

These expected values are then divided by a value of 100 to give a points value for each win.

This would mean if that a player achieves their expected result, they would score 100 points. They score more for beating this and less for falling short. For example, a Gloomspite Gitz player scores 53 points for a win, while a Beasts of Chao player scores just 32.5 points. Meaning that if both the Gloomspite Gitz and Beasts of Chaos players both achieved 3 wins, then the Gloomspite Gitz player would score more points for achieving this with an underperforming faction.

**Tournament Ratings**

Some tournaments draw more players than others and so attract better players to the event. I had a few thoughts on how to reflect this, all of which didn’t really work.

My first thought was to weight each faction with a rating based on their win rate, total up these for a tournament and divide that by the number of players. Only this always kept coming back to roughly the same figure, as the factions more often than not cancelled each other out.

My next idea was to take the scores of each player and take an average for that event. This also didn’t work as in some cases a 9 man event had a higher average player score than events such as NOVA or the London GT.

In the end I settled on the ATP Tennis system (or close to it anyway). Where each tournament is given a multiplier based on its size. These multipliers wouldn’t be score breaking, but they would differentiate between attending a large event and small event. In the end the multipliers I settled on were as follows:

Players | Multiplier |
---|---|

1-16 Players | 0.9 |

17-32 Players | 1.0 |

33-64 Players | 1.1 |

65-128 Players | 1.2 |

129+ Players | 1.3 |

Based on this a player who achieves exactly the same result with the same faction at two different sized events will score slightly more points for the larger events.

For events where there is a player off for the champion, those games are also awarded points in the same manner as the previous 5.

## An Example Event

Here are the results of the Justice Series GT which took place this last weekend. These results are as presented on BCP, ranked with the number of wins and then battle points from their games:

Now, if we apply our faction scores calculated above for each win and then multiply each player score by a factor of 1.2 (as it’s an 82-player event) we get the following adjusted leader board:

This method should allow players to compete on an equal footing regardless of which faction they choose to play with at an event.

## When is it calculated?

This is the important part. As you can’t calculate the results on the day of the event. Win rates, as we all know, are fluctuating all the time. The easiest method would be to lock the win rates down once a new FAQ, Battlescroll or Generals Handbook is released for the game. That way you have set periods of time where players are all competing using the same rules, once the next release is made, the win rates are locked in for that period and scores can be calculated for the events that have taken place.

At the moment, we’re still in the GHB release phase and are waiting for the new FAQ/Battlescroll drop in the next week. Once that happens, we can lock down the scores for the tournaments that have taken place since the start of July.

Players will gain scores for their best four events during the six months under each Generals Handbook season. This would have been five or six normally, but as the seasons are dropping to six months, the number of events a player can attend in that time is different.

## Current Top 20 Players

Using the method described above, I’ve calculated each players performance at each GT and have taken their top four scores:

This is only an example at the minute, as the win rates for this period are still fluctuating.

## What do you think?

Let me know below or on our Discord server!

# Calculating AoS Player Rankings

## Calculating AoS Player Rankings

Some of you may remember back in August I had a failed attempt at generating player rankings based on the ELO Chess rating system. While the theory was okay in itself it wasn’t without its flaws. Firstly, it required a lot of man hours to maintain, as I had to cross-reference each player score against their opponents in each round. Secondly, it didn’t take into account that claiming a win with a faction such as **Seraphon** or **Nurgle** would be perhaps easier than claiming a win with **Gloomspite Gitz** or **Kruleboyz**. So, the system was eventually dropped with few people noticing.

The idea hasn’t gone away, and I would like to revisit it, perhaps with your own input this time around.

## Woehammer Scoring

First of all, I believe factions need to be taken into account when scoring. But how can you do that?

Faction win rates can vary at present from 60% down to 30%, so a faction that has a 30% win-rate is expected to end a tournament with 1 win and 1 draw while a faction with a 60% win-rate should get 3 wins. Let’s level this out by taking a base value of 150 points and dividing it by the expected results for each win-rate.

Win Rate (%) | Expected Result (5 Game Event) | Win Value |
---|---|---|

100% | 5-0-0 | 30.0 |

90% | 4-1-0 | 33.3 |

80% | 4-0-1 | 37.5 |

70% | 3-1-1 | 42.9 |

60% | 3-0-2 | 50.0 |

50% | 2-1-2 | 60.0 |

40% | 2-0-3 | 75.0 |

30% | 1-1-2 | 100.0 |

20% | 1-0-4 | 150.0 |

10% | 0-1-4 | 300.0 |

Now let’s put this into practice. Currently **Beasts of Chaos** have a 61% win-rate, meaning there’s an expectation for them to claim 3 wins and 2 losses from a five-game tournament. Looking at their win rate in the above table, each win is worth 50 points and a draw half that. If a player manages to achieve 3 wins, they’ll get 150 points. Now let’s look at a **Kruleboyz **player. They have a win rate of 37.8% so let’s round that up to 40% and look at our table above, they should achieve 2 wins and three loses. The player goes on to achieve this and scores 150 points, the same as our **Beasts of Chaos **player. This is because they have both matched their factions expected win rates.

Now let’s look at what happens when these two factions achieve four wins and a loss each at the event. The **Beasts of Chaos **player will score 50 points for each win giving them a total of 200 points. Our **Kruleboyz** player scores 75 points for each win and so scores a massive 300 points placing them above the **Beasts of Chaos** player in the rankings. This reflects the difficulty of achieving those four wins with what is viewed as a more difficult faction to win with.

Using this method, should place all the players on a relatively level playing field, a player who goes undefeated with **Beasts of Chaos **will score 250 points while a **Kruleboyz** player need only claim 3 wins and a draw to surpass that score.

## Tournament Size

The size of the event also needs to be taken into account; this is where we change the base value of the scoring. For example, in a five round event you need 32 players to get a single 5-0 winner. Weighting for a tournament would then be applied once the scores had been calculated.

To do this, take the number of players at the event and divide by 32. Thsi will give you a multiplier to use on the final score.

For example, a **Beasts of Chaos **player manages four wins at a 54-player event. They score 50 points per win giving them a total of 200 points. We then take the number of players and divide that by 32 giving 1.6875. To calculate their final score, we multiply 200 by 1.6875 giving that player a final score of 337.50. These multipliers should only be used for 5 round events. If the event is 6 rounds, then it should be based on 64 rather than 32.

This scoring then reflects the number of players at the event as well as that event being able to attract more ‘big name’ players.

## Timing of Calculations

The win rates for factions fluctuate and so these can’t be calculated with accuracy at the time of the event. To resolve this, each event should be calculated once the next FAQ, Battlescroll or GHB has dropped, this will ‘lock’ the win rates for those factions between those periods. For example, an event takes place on 13th August between the GHB being released at the beginning of July and the FAQ for a new battletome being dropped on 24th September. Once the FAQ has dropped, win-rates for factions are locked in that period and can be applied to the calculations for all events that happened during that time.

So, what do you think? Is there any viability in scoring players using this method?

# Age of Sigmar Player Ratings w/e 14th August 2022

*The Age of Sigmar Player Ratings are calculated using the Elo System, most known for creating the Chess Rankings. Players begin with a rating of 1,000 then gain or lose points based on their opponents rating.*

*The ratings are awarded according to your opponents rating. Beating an opponent with a rating of 1,030 will give you more points than beating an opponent with a rating of 1,010.*

*Ratings will be given to players who attend a two day event with at least 8 players. Those players must be using 2,000 point armies.*

**Rankings Update**

We talked about Thomas Guan last week, and we’re talking about him again this week. He’s the first player since we’ve started tracking the Elo ratings that has broken the 1,100 mark.

This places him halfway on the way to becoming a Class D player. Classes in Chess (and now AoS) are awarded based on your points:

Rating | Player Class | # of Players |
---|---|---|

2,500+ | Grand Master | 0 |

2,400-2,499 | Senior Master | 0 |

2,200-2,399 | National Master | 0 |

2,000-2,199 | Expert | 0 |

1,800-1,999 | Class A | 0 |

1,600-1,799 | Class B | 0 |

1,400-1,599 | Class C | 0 |

1,200-1,399 | Class D | 0 |

1,000-1,199 | Class E | 342 |

800-999 | Class F | 351 |

600-799 | Class G | 0 |

400-599 | Class H | 0 |

200-399 | Class I | 0 |

100-199 | Class J | 0 |

**This Week’s Ratings**

## Formula

Here’s how the formula works for the maths geeks among you.

For those wanting to check my maths, the k factor we are using is 20.

Here’s my file: