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Matchday
All matches

Presets

In-form home v struggling away
UK 3pms
Watchlist
Tracking
Insights

Explore

Markets
Leagues

Learn

Features
Blog
Macarthur logo
A-League

Macarthur

OverviewMatchesStats

At a glance

Based on
Full matches26
Recent matches5
Best-fit markets
Goal in 2H
85%
Last 5: 100%
Over 1.5
81%
Last 5: 100%
Scored In
73%
Last 5: 100%
Goal in 1H
69%
Last 5: 80%

Full Time Result

Win

Up 25 pts
Season
9/26
35%
Last 5
3/5
60%

Draw

Down 27 pts
Season
7/26
27%
Last 5
0/5
0%

Lose

Flat
Season
10/26
38%
Last 5
2/5
40%

Points

Points per game

Up 0.49
Season
26 matches
1.31
Last 5
5 matches
1.80

Both Teams To Score

BTS

Up 18 pts
Season
16/26
62%
Last 5
4/5
80%

BTS & Win

Up 17 pts
Season
6/26
23%
Last 5
2/5
40%

BTS & Lose

Up 25 pts
Season
4/26
15%
Last 5
2/5
40%

Goals

Average goals scored

Up 0.78
Season
26 matches
1.42
Last 5
5 matches
2.20

Average goals conceded

Up 0.11
Season
26 matches
1.69
Last 5
5 matches
1.80

Over 1.5

Up 19 pts
Season
21/26
81%
Last 5
5/5
100%

Over 2.5

Up 46 pts
Season
14/26
54%
Last 5
5/5
100%

Over 3.5

Up 42 pts
Season
10/26
38%
Last 5
4/5
80%

Scored in

Up 27 pts
Season
19/26
73%
Last 5
5/5
100%

Conceded in

Down 5 pts
Season
22/26
85%
Last 5
4/5
80%

Clean sheets

Up 5 pts
Season
4/26
15%
Last 5
1/5
20%

Intervals

Goal in 1H

Up 11 pts
Season
18/26
69%
Last 5
4/5
80%

Goal in 2H

Up 15 pts
Season
22/26
85%
Last 5
5/5
100%

Win 1H

Up 33 pts
Season
7/26
27%
Last 5
3/5
60%

Lose 1H

Down 31 pts
Season
8/26
31%
Last 5
0/5
0%

Win 2H

Up 5 pts
Season
9/26
35%
Last 5
2/5
40%

Lose 2H

Up 18 pts
Season
11/26
42%
Last 5
3/5
60%

Both scored in BH

Down 8 pts
Season
2/26
8%
Last 5
0/5
0%

Result analysis

9 wins
Home
Away
5
4
v Higher
8
1
v Lower
7 draws
Home
Away
4
3
v Higher
2
5
v Lower
9 losses
Home
Away
4
5
v Higher
5
4
v Lower

Day by day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

26

2

1

1

2

7

6

7

Home Win

42%

50%0%0%50%43%17%71%

Draw

27%

50%100%0%0%43%17%14%

Away Win

31%

0%0%100%50%14%67%14%

BTS

62%

100%100%100%50%57%50%57%

BTS & Win

38%

50%0%100%50%29%33%43%

Over 1.5

81%

100%100%100%50%71%83%86%

Over 2.5

54%

50%0%100%50%57%67%43%

Over 3.5

38%

0%0%100%50%43%33%43%

Stats breakdown

Macarthur stats 

Use this page to test whether the main patterns around Macarthur still hold when you move beyond the headline view and into deeper team stats.

How to use this stats page

Use this page when you want a denser read on Macarthur. Start with the best-fit markets and sample context, then move through the stat groups to see whether the same pattern holds across results, goals, and timing splits.

The result-analysis blocks below are there to help you test whether the headline stats still make sense when you look at wins, draws, and losses separately.

Page guide

What this page is showing

This page currently uses 26 Macarthur matches from A-League to calculate the team stat groups, best-fit markets, and result analysis shown here.

Current scope

Freshness and methodology

Satdee updates this public stats page as match data changes. Treat the rates and labels as research context rather than predictions, then cross-check the relevant fixtures and wider league environment before you rely on a single signal.

Data quality

Research next

Move from a team page to a watchlist you can explain

  1. Start with the strongest stat groups and best-fit markets.
  2. Check whether the same signal still holds on the matches page and in the league context.
  3. Use the wider market pages only after the team-level pattern still looks coherent.
  4. Return to the Satdee matchday calendar and keep only the fixtures that still make sense.

Continue from here

  • Open the Satdee matchday calendar
  • Open Macarthur overview
  • Review Macarthur matches
  • Open the league page
  • Compare market pages

FAQ

Questions users usually ask next 

A few quick answers about what this team page is showing, how to use it in the Satdee workflow, and where to go next.

Why use Macarthur stats instead of the overview alone?

Macarthur stats breaks the team into deeper rate-based groups and result analysis, which is more useful when you want to understand whether the broad overview still holds under closer inspection.

What should I do after finding a useful signal here?

Check the matches page and the wider league context, then return to the Satdee matchday calendar if the upcoming fixture still fits the angle you want to follow.