To refresh your memory, here’s a description of how my model works.
Predictions for the second round are given in the table below. The priors for these distributions are based on the results from round 1.
Home | Away | Chance of home team winning |
---|---|---|
NSW Swifts | Melbourne Vixens | 33% |
Sunshine Coast Lightning | Queensland Firebirds | 34% |
Collingwood Magpies | West Coast Fever | 30% |
Adelaide Thunderbirds | GIANTS Netball | 69% |
Score Differential Distributions
The distribution of the predicted score differentials is shown in the figures below. For each game, the chance of the home team winning is calculated and shown in the figure title. Each distribution is coloured by the team’s colours, and the more of a single team’s colour, the higher the chance that team has of winning. Overlaid on each figure are two vertical, dashed dark green lines; these show the score differential that has a 50% predicted chance of happening.
Comparison of Game Results Against Predictions
The following figure shows the results (score difference of the home team) in round 1 (blue vertical line) against the predictions from the model.
The mean average prediction error for the model over the rounds to date is 7.82. The results are shown below, with the MAPE for each game.
Home | Away | Chance of home team winning | Home Goals | Away Goals | MAPE |
---|---|---|---|---|---|
Adelaide Thunderbirds | Collingwood Magpies | 49% | 54 | 50 | 4.3 |
NSW Swifts | GIANTS Netball | 50% | 55 | 57 | 2.8 |
Queensland Firebirds | Melbourne Vixens | 51% | 65 | 70 | 5.2 |
West Coast Fever | Sunshine Coast Lightning | 51% | 82 | 63 | 19.0 |