In MZR (now on App Store: http://bit.ly/MZR_Game) there is an alternative approach to the concept of leaderboards. As the height of the player’s tower is the score we decided that it might be a good idea to have everyone else’s tower around. See your friends and their scores at a glance. As they are all represented as square columns on a grid I call this the MZR leadergrid.
User can browse around, zoom in or out and see the global picture – scores aggregated by country as well as their friends.
In this post I’ll talk about the leaderbaord implementation. In general it’s a collection of programming tricks and shortcuts and I wanted to describe some of those.
Most of the techniques are aimed at providing visual complexity while reducing the number of draw calls. High number of draw calls is possibly the main thing that would hurt your performance – any opportunity to reduce that number without impact on quality should be considered.
The implementation of the MZR leadergrid score representation is split in two parts.
- The local grid where every tower is an accurate representation of a real active player.
- The global grid where a representation of the global leadergrid is rendered based on aggregated data from our servers.
Local in this case refers to the locality of the other users’ towers to the centre player tower. There is a grid of 9×9 towers around the main one.
This local grid, contains a few types of entries:
- friend entries – these are the towers of friends logged in Game Center or Facebook. Every friend gets their avatar picture on top of their tower, as well as their score
- active player entries – there are towers of players who have played the game recently. The idea is to get a selection players who are currently playing the game.
- global grid entries – these are entries that could not be filled by friends or active players and are sampled in a similar way as the global grid one (described below)
In a way this local bit is the “friends” section of a normal leaderboard but extended so it can always fill 9×9 matrix.
This local grid is the immediate vicinity of the player playing field and as such visible during gameplay. I also wanted to indicate on the nearby columns (towers) how the current player score compares to them.
The local grid is accurate. Every column (friends and active players) is an actual player with their score as reported by our servers. Every time a player submits a high-score to the servers, it is stored in our database and then reported to the player’s friends when they play.
Rendering of the local grid
All of the columns in the local grid are a single rendering mesh. That allows efficient draw call submission – 1 call is better than 9×9 calls. The writing and avatars on top are additional draw calls as they are translucently blended on top. That also allows me to dynamically alter/grow columns as players upload higher scores. Each column is always in the same place in the vertex array so I can calculate what part of the vertex array I’m changing when the column grows.
A similar approach is taken with player scores. A single draw call renders all players score. They use the same font and can change dynamically. That’s possible because I always leave space in the vertex array for 4 digits. By using degenerate (zero area) triangles I can display scores that with less than 4 digits while maintaining vertex count for the full 4 digits.
Finally the avatars. The avatars can change at any time as player logs in to Game Center or Facebook and gets lists of friends… and their avatar pictures are downloaded from the respective network. Furthermore, to optimise the draw call for those avatar images they need to be in the same texture – not separate textures. Again a single draw call is a lot better than 81 (9×9) ones.
To achieve that I pack all images into a dynamic texture atlas. I use a render-to-texture technique to pack each avatar picture into a separate place on the same texture. Then I just need to update the display avatar mesh with the right texture coordinates of where that avatar image finds itself in the final atlas texture. A bonus of this atlas rendering is that I can apply a custom shader effect to the avatar images achieving the specific MZR look they have.
Finally I have the hight indicators rendered on the closest friend columns indicating how high the current player run has reached. At the same time if a local grid column is overtaken, it would flash briefly by changing the colours of the appropriate vertices in the grid vertex array.
The global grid is everything outside the 9×9 local grid. It repeats infinitely the space so the user can scroll around in any direction when they browse. By repeats infinitely, I mean that the camera is telported back once it reaches certain limit – wrapping back to the opposite side of the area – that gives impression of endless scrolling.
The global grid is not a 1-to-1 representation of all the players in the world. It is a statistical representation. This is done for couple of reasons:
- to reduce the data transfer between the app and our servers
- to show the player a bigger picture about the scores of the world.
To achieve that I do a certain aggregation on the server with respect to players scores. At regular intervals a routine runs that calculates stats for every country in the world. The stats calculated are number of players from that country, the average score for that country and the maximum score.
The game client downloads the country score stats from the server. The global leadergrid is then rendered using that information. You can look at this from a data compression point of view: it’s a loss compression method where the data aggregation is the compression and the visualisation is the decompression part.
In terms of visualisation each country looks like a small mountain of columns. The more people play in that country the larger space it occupies. The top score for that country is the highest point of the mountain. The average score of the country dictates how “sharp” the mountain is. If the average score is low (a lot lower than the max one) then we get a mountain that’s fairly pointy – naturally the people with high scores are not many. If the average score is high, then we get a meatier mountain as there are more people with relatively high scores.
I achieve that by using a power function to approximate the curve slope. I take the average score (av) and the max score (max) for a given country and calculate the ratio as av/(max*0.5). That way score average that is half the max score for that country would mean a power of 1. Say we have average score of 50 and max score of 100 – give the formula we get 50/(100*0.5)=1. We then use the function f(x) = 1-pow(x, av/(max*0.5)) to get the height at various point of x where x is the distance of the sample point form the centre of the country region.
Note: the mathematical ground behind this was if we imagine these mountains as cones (or a swept/revolved curve that makes a kind of a strange cone) then the volume of that cone would be the total added scores of all players playing. That can be found by calculating player scores x average score. We know the height of the cone (max score) and the radius of the cone (number of player playing). Having the radius and the height of the cone the unknown would be the curve which swept would dictate the volume of the “cone”. The connection between the curve and the cone volume would be an integral of that curve over a circle.
Solving this however goes beyond my mathematical skills and seemed extremely OTT when I had a sensible approximation already.
Global grid country field
Once the country scores have been downloaded from the server. They are inserted into a CountryField object that places them on a plane and uses a relaxation algorithm to make sure they are spaced evenly according to their respective radius. After that I can query the CountryField at any point in the world and it will return a height for that point based on what countries overlap and influence that point. The relaxation is seeded randomly so that every time a user gets the countries from the servers the global grid looks different.
When sampling at a certain point I consider all countries that the sampling point overlaps with. Then I apply a calculation described above and take the highest sample position. Layered on that is a deterministic noise function so that the score mountains don’t look uniform.
The rendering routine then uses this CountryField object to sample the heights for each of the global grid columns.
Rendering all global grid towers in one go proved slow – too much geometry to update at the same time. I opted out for an adaptive subdivision technique where if columns are close to the camera then they are rendered if they are further away they get converted into a bigger column that’s the average of their height (it’s actually biased above the average as that proved better looking). This is done on 3×3 columns basis. As camera moves around some of these combined columns split up dynamically and other coalesce. This combined with some non-linear interpolation gives the unique MZR look when user is browsing around.
This adaptive technique also means that geometry rendered is kept under control.It also allows the adaptive algorithm to work on only fraction of the geometry to interpolate and update the vertex array. The entire global grid is a single mesh and there for a single draw call.
On top, like clouds, are rendered the country initials (alpha-2 country code) and the country top score. This is again a single mesh so I can render that in a single draw call.
MZR has unique look when it comes to leaderboards. In some ways however it is a bit “style before function”. That’s ok. MZR has always been about trying something new, be willing to go where traditionally games have done stuff another way.
With that in mind here’s what I think could be better:
- No easy way to compare. In a traditional leaderboard user gets a list of entries with them inserted in the middle. They immediately know who is ahead of them and behind them. This information is more difficult to read in MZR. User gets a bigger picture view but details remain a bit hazy – the details are still there but not so easy to compare.
- No easy way to compare country scores. User has to browse around Its’ been fun to watch different countries take the lead (as of writing of this post Canada has the lead) but it would have been better to have a clear indication of who is in front.
- In retrospect just using alpha-2 country codes make for a more alienating experience. Using something like full names or flags would have work better.
That’s it. If you are interested in reading more about any of the areas I describe, do let me know and I can write that up in more detail in a separate post.
See you next time.
Well, I woke up yesterday to a surprise. MZR had been in review for the last six days and got approved by Apple yesterday morning.
As I hadn’t put a release date, it automatically got released on the App Store.
You can find it here: MZR on the App Store
You can download it and play it for FREE! Seriously, do it now.
If you are a journalist and want to talk to us about it. Checkout out the MZR press-kit
Before today Funky Circuit had four games on the App Store, some of them (the ones I didn’t design) are really damn good games. They are games that matter. Games that teach something, games that have something to give to the world.
Those games before MZR were also games that tried to make money in some way. It’s only fair. We [the Funky Circuit people] put our work and resources into it and we wanted to get something back. Each game followed a different business model – one would be free with content in-app-purchases, another one would be paid, another free-with-ads, etc. We wanted to try things.
As some of you know, MZR was a solo project. I wanted to make something that’s completely me. Something simple, cool, fun. In many ways MZR is a lot more pure time-waster-entertainment than any of the other Funky Circuit games. It’s just cool, nothing else. I could argue that it teaches you how to find the shortest route in a maze but that’s just an afterthought.
Finally, getting downloads on the App Store is really difficult. Especially without a dedicated marketing effort or the indie equivalent of extreme networking at events and social media.
So, having that in mind I wanted to make it really simple to download and play this game. I want as many players to try it. No barriers to entry, no payment, nothing. At this point people playing MZR is more important than MZR making me any money whatsoever. If numbers grow big that may change – there are server costs involved. But for now it’s all free.
What happens to this blog now?
I will continue posting here. Technical stuff and occasional design post. I have several posts half written, but it is very difficult to both develop a game and write a blog in the same spare time… maybe now I’ll have more time.
I see this as the MZR supplement that is contributing something to the world, other than just being cool 🙂
So watch this space.
And download MZR at: http://bit.ly/MZR_Game
See you next time.
The name votes are in and by far the popular choice was MZR. It helps I was leaning towards that too.
Thanks to everyone who voted online or shared their opinion offline – it’s been really great to hear everyone’s thoughts.
I know this isn’t a major departure form the original working title “Mazer” but I guess that was a popular one too – shame it’s already taken on the App Store.
So, the game is going to be called MZR.
The logo was created by Steven Whitfield. I personally think it’s amazing – we tried couple of concepts but this one was there from the start – you can’t improve on perfection – thank you Steven!
There are a few things in the game that have changed visually. There is a new font, some new colour schemes… but most of the work recently has been towards getting this game finished so you can get your hands on it.
There is going to be more info here soon. I have accumulated some cool things to write about recently but it’s a tough choice between writing this blog and actually developing the game. I guess there is only so much spare time a “spare time indie” can find 🙂
Currently codenamed Mazer, this project needs a proper name as I’m getting close to releasing it. I called it Mazer initially because it was a game about solving mazes. However, it has evolved quite a bit since that initial prototype. It has a lot more arcade-frantic feel now. Those of you who have been kind enough to play it and give me feedback would know what I’m talking about. I’m not sure the word “Maze” says everything there is about this game.
Yet, Mazer is stuck in my head and I’m not able to see past it now.
Here’s where you come in. Give me suggestions, vote for your favorite name, comment on the suggested options, help this game get it’s final name.
Edit: It seems “Mazer” is already taken on the AppStore. I’ll have to take that down. There is also a “Maze Tower (RPG)”.
This is going to be a post about ideas…
Ever have this (game) idea that sounds great in your head? The more you think about it the better it is. Day after day you think it over and features are piling up. It’s building up to be amazing! There is only one thing wrong it it… it’s all in your head.
Let’s say that you have the means and skill to implement it (prototype it at least). But there is always something more important to do – games to play, people to see, food to eat. So you never do anything about it. And yet it’s there in the back of our mind telling you: “I’m great – your fantastic idea!”
And time passes by… you have other ideas. This one fades away or if you are a bit more organised and you wrote it down (which has it many other advantages which we’ll discuss later on). Occasionally you learn a new trick or game mechanic and think – this would work great with that old idea.
This is what I call a “zombie bus” idea. Idea that will never see the light of day.They are lost.
But there is a reason for this. And it is the same reason why you should almost never be afraid that someone is going to steal your original game idea. I didn’t believe enough in my idea to invest time any resource in it. Often that lack of belief is quite rational – we don’t believe that investing in this idea will generate the return we need compared to doing this other stuff.
It always amazes me the assumption of people that there is a lack of ideas. No. There isn’t. There is a lack of guarantee that this idea when implemented will generate return. That’s why we live in world of copy-cats – people just try to rip-off ideas that have proven to make return on investment. Noone cares about ripping-off my original idea! For all they know it’s originally crap. Some people (let’s call them friends) would recognize the potential in some of the ideas but still that’s a million miles away from commitment to do something with them.
So why “zombie bus”? It’s just an old idea I had. I don’t believe in it anymore. I just use it as a collective term for all those ideas I have.
And so I was piling the zombie buses on in the brain depot and one day I decided I’d do something about it.
This blog will hopefully follow the journey of bringing one such idea (or ideas) to life.
Spare Time Indie
PS: note that there is a game called “Zombie Bus” somewhere on the internet but that’s nothing to do with me… or my idea. Mine’s obviously miles better! 🙂