How to WEKA the living daylights outta my data with a real life scenario???

I must say this is exciting, i absolutely have no foundation in computer science or programming and neither was i very good at mathematics but somehow i am in love with the idea of machine learning, probably because i have a real life scenario i want to experiment with.

I have up to 20 weekends and more of historical data of matches played and i would like to see how weka can predict the outcome of matches played within that 20 week period.

My data is in tabular form and it is stored in microsoft word. It is a forecast of football matches played in the past.

Pattern detection is the key, By poring over historical data of matches played in the past, patterns begin to emerge and i use this to forecast what the outcome of matches will be for the next game.

I use the following attributes for detecting patterns and making predictions which on paper is always 80-100% accurate but when i make a bet, it fails. (results, team names, codes, week's color, row number)

Results= Matches that result in DRAWS

Team names = Believe it or not, teams names are used as parameters to make predictions, HOW? They begin with Alphabets.

Codes= These are 3-4 strings either digits or a combo of letters and digits, depending on where they are strategically placed in the table, they offer insight into detecting patterns.

Weeks Color= In the football forecasting world, there are 4 colours used to represent each week in a month. RED, BLUE, BROWN and PURPLE. These also allows the forecaster to see emerging patterns.

Row Number= Each week, the data is presented in a table form with two competing teams occupying a row and a number is associated with that row. These numbers are used to make preditions.

So i would like to TEACH WEKA how i detect these patterns so that my task can be automated and tweaked anyhow i like it.

In plain english, how do i write out my "pattern detecting style" for weka to understand and how do i get this information loaded into weka for processing into my desired results. Going by my scenario, What will be my attributes? What will be my instances? What will be the claasifiers? What algorithms do i use to achieve my aim or will i need to write new algorithms?

I sincerely hope someone will come to my rescue.

Thanks