2026-10-21 · 6 fixtures
Live matches first, then by kick-off time.
| Kick | Match | 1 | X | 2 | Over 2.5 | Under | Our picks |
|---|---|---|---|---|---|---|---|
14:00Sat | Dundee United Aberdeen Premiership | 48% | 26% | 27% | 48% | 52% | 1275%Over 1.573% |
14:00Sat Dundee United Aberdeen Premiership 148% X26% 227% O2.548% U2.552% 1275%Over 1.573% | |||||||
14:00Sat | St Mirren Dundee FC Premiership | 38% | 27% | 35% | 44% | 56% | 1273%Over 1.570% |
14:00Sat St Mirren Dundee FC Premiership 138% X27% 235% O2.544% U2.556% 1273%Over 1.570% | |||||||
14:00Sat | Rangers FC St Johnstone Premiership | 62% | 21% | 17% | 56% | 44% | 1X83%Under 3.566% |
14:00Sat Rangers FC St Johnstone Premiership 162% X21% 217% O2.556% U2.544% 1X83%Under 3.566% | |||||||
14:00Sat | Falkirk Kilmarnock Premiership | 52% | 24% | 24% | 52% | 48% | 1X76%Under 3.570% |
14:00Sat Falkirk Kilmarnock Premiership 152% X24% 224% O2.552% U2.548% 1X76%Under 3.570% | |||||||
12:00Sun | Hibernian Celtic FC Premiership | 31% | 26% | 43% | 50% | 50% | 1274%Under 3.572% |
12:00Sun Hibernian Celtic FC Premiership 131% X26% 243% O2.550% U2.550% 1274%Under 3.572% | |||||||
14:00Sun | Motherwell Hearts Premiership | 50% | 25% | 25% | 51% | 49% | 1X75%Under 3.571% |
14:00Sun Motherwell Hearts Premiership 150% X25% 225% O2.551% U2.549% 1X75%Under 3.571% | |||||||
Standings and table positions. Combined with our match predictions and analysis above for full context.
| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Auckland FC | 1 | 1 | 0 | 0 | 3 | 1 | +2 | 3 |
| 2 | Wellington Phoenix | 1 | 1 | 0 | 0 | 2 | 1 | +1 | 3 |
| 3 | Macarthur FC | 1 | 1 | 0 | 0 | 2 | 1 | +1 | 3 |
| 4 | Central Coast Mariners | 1 | 0 | 1 | 0 | 2 | 2 | 0 | 1 |
| 5 | Newcastle Jets | 1 | 0 | 1 | 0 | 2 | 2 | 0 | 1 |
| 6 | Sydney FC | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 7 | Western Sydney Wanderers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 8 | Adelaide United | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | Brisbane Roar | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | Perth Glory | 1 | 0 | 0 | 1 | 1 | 2 | -1 | 0 |
| 11 | Melbourne Victory | 1 | 0 | 0 | 1 | 1 | 2 | -1 | 0 |
| 12 | Melbourne City FC | 1 | 0 | 0 | 1 | 1 | 3 | -2 | 0 |
Our power ratings measure each team's attacking and defensive strength on a 1-10 scale. Attack power is derived from expected goals (xG) creation, while defense power reflects xG conceded. A rating of 10 means elite, 5 is average, and 1 is weak. These ratings feed into the Poisson model that generates match predictions.
The attack number (ATT) shows how dangerous a team is at scoring — higher means more goals expected. The defense number (DEF) shows how well a team prevents goals — higher means fewer goals conceded. Together they determine the expected goals (xG) for each team in every match, which drives all scoreline probabilities.
Predictions use a Poisson distribution model. For each match, we calculate expected goals for both teams from their attack/defense power ratings. The model then computes the probability of every possible scoreline (0-0 through 5-5) and ranks them by likelihood. The same method applies to over/under, BTTS, and correct score markets.
Expected goals (xG) is a statistical measure that quantifies the likelihood of a shot becoming a goal. A team's cumulative xG across a match estimates how many goals they should score based on chance quality. In A-League, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.
Yes, all A-League predictions on ProSoccer are free. You can see match-by-match predictions including 1X2 probabilities, over/under lines, correct scores, and bet builder suggestions without paying or registering. Bookmaker odds are shown only after you tap to expand, keeping the content search-engine compliant.
Over/Under 2.5 goals is typically the most accurate market for statistical models, with 55-65% accuracy. Correct score predictions are lower-probability by nature but can identify value. 1X2 (match winner) accuracy varies by league competitiveness. Our model performs best on goal-line markets because goal distribution follows a Poisson pattern.