Sat, Apr 24 2021 - 11:00 (Europe/London)
Albury Wodonga Bandits vs Melbourne Tigers
H2H Stats
H2H Stats
H2H Matches
Players
Head-to-Head Stats
Data Point
Albury Wodonga Bandits
Melbourne Tigers
Wins
0
2
Points Per Game
96.5
105.5
Offensive Rating
115.38
135.19
Defensive Rating
126.14
123.65
Point Spread
-9
9
Assists Per Game
-1
-1
Rebounds Per Game
111
96
3 Points FG %
30%
44%
Form
Results
Net Rating
Overall
L
L
L
L
L
-14.9
Home
L
L
L
-14.4
Away
L
L
W
-15.5
Stats
Overall
Home
Away
Win %
25.4%
21.2%
30.8%
Spread
-14.88
-14.36
-15.54
PPG
75.6
70.9
81.7
PAPG
83.1
78.1
89.4
FG%
48.4%
50.4%
46.5%
1h Lead
32.2%
27.3%
38.5%
Pace
83.45
80.62
85.96
Offence R
79.06
80.14
78.43
Defence R
86.83
88.02
86.14
Form
Results
Net Rating
Overall
W
L
W
W
W
-2.5
Home
W
L
W
+0.6
Away
W
W
W
-5.6
Stats
Overall
Home
Away
Win %
41.1%
43.2%
39.1%
Spread
-2.45
0.64
-5.56
PPG
69.7
71.5
67.8
PAPG
70.9
71.2
70.6
FG%
46.5%
47.7%
45.2%
1h Lead
38.9%
38.6%
39.1%
Pace
73.92
74.31
73.55
Offence R
94.25
94.18
94.33
Defence R
95.91
95.84
96
Team Points - Over Stats
Over 70.5 - 100.5
Over 101.5 - 130.5
Average PPG
75.6
69.7
Over 70.5
76.3%
70.9%
Over 71.5
76.3%
69.1%
Over 72.5
76.3%
66.3%
Over 73.5
72.9%
63.4%
Over 74.5
71.2%
61.1%
Over 75.5
66.1%
58.3%
Over 76.5
64.4%
57.1%
Over 77.5
62.7%
54.3%
Over 78.5
61%
53.1%
Over 79.5
59.3%
52%
Over 80.5
55.9%
48.6%
Over 81.5
55.9%
45.7%
Over 82.5
50.8%
42.9%
Over 83.5
44.1%
41.1%
Over 84.5
44.1%
36.6%
Over 85.5
44.1%
33.1%
Over 86.5
44.1%
31.4%
Over 87.5
42.4%
30.3%
Over 88.5
42.4%
28.6%
Over 89.5
37.3%
25.7%
Over 90.5
32.2%
25.1%
Over 91.5
30.5%
24%
Over 92.5
28.8%
24%
Over 93.5
20.3%
22.9%
Over 94.5
18.6%
21.1%
Over 95.5
16.9%
18.3%
Over 96.5
15.3%
16.6%
Over 97.5
15.3%
13.7%
Over 98.5
15.3%
10.3%
Over 99.5
13.6%
9.7%
Over 100.5
11.9%
6.9%
Over 101.5
11.9%
5.1%
Over 102.5
10.2%
4%
Over 103.5
8.5%
2.9%
Over 104.5
8.5%
2.3%
Over 105.5
5.1%
2.3%
Over 106.5
5.1%
1.7%
Over 107.5
3.4%
1.1%
Over 108.5
3.4%
0.6%
Over 109.5
3.4%
0.6%
Over 110.5
1.7%
0.6%
Over 111.5
1.7%
0.6%
Over 112.5
1.7%
0.6%
Over 113.5
1.7%
0%
Over 114.5
1.7%
0%
Over 115.5
1.7%
0%
Over 116.5
1.7%
0%
Over 117.5
1.7%
0%
Over 118.5
1.7%
0%
Over 119.5
1.7%
0%
Over 120.5
1.7%
0%
Over 121.5
1.7%
0%
Over 122.5
1.7%
0%
Over 123.5
1.7%
0%
Over 124.5
0%
0%
Over 125.5
0%
0%
Over 126.5
0%
0%
Over 127.5
0%
0%
Over 128.5
0%
0%
Over 129.5
0%
0%
Over 130.5
0%
0%
Team Points By Quarters (Q1, Q2, Q3, Q4)
Q1
Q2
Q3
Q4
Average Points
18.9
17.9
Over 19.5
61%
50.9%
Over 20.5
57.6%
46.3%
Over 21.5
50.8%
40.6%
Over 22.5
37.3%
35.4%
Over 23.5
32.2%
31.4%
Over 24.5
23.7%
25.1%
Over 25.5
20.3%
18.3%
Over 26.5
15.3%
15.4%
Over 27.5
10.2%
13.1%
Over 28.5
8.5%
8.6%
Over 29.5
5.1%
6.3%
Over 30.5
0%
4%
Over 31.5
0%
2.9%
Over 32.5
0%
2.3%
Over 33.5
0%
2.3%
Over 34.5
0%
1.7%
Over 35.5
0%
0.6%
Average Points
18.9
17.3
Over 19.5
59.3%
46.9%
Over 20.5
54.2%
41.1%
Over 21.5
42.4%
36.6%
Over 22.5
35.6%
28%
Over 23.5
27.1%
23.4%
Over 24.5
22%
20.6%
Over 25.5
22%
15.4%
Over 26.5
16.9%
10.3%
Over 27.5
15.3%
7.4%
Over 28.5
11.9%
5.1%
Over 29.5
6.8%
3.4%
Over 30.5
6.8%
2.3%
Over 31.5
5.1%
1.1%
Over 32.5
3.4%
0.6%
Over 33.5
1.7%
0%
Over 34.5
0%
0%
Over 35.5
0%
0%
Average Points
18.5
17.3
Over 19.5
55.9%
44.6%
Over 20.5
47.5%
40%
Over 21.5
42.4%
34.9%
Over 22.5
37.3%
28%
Over 23.5
32.2%
24%
Over 24.5
20.3%
21.7%
Over 25.5
13.6%
17.1%
Over 26.5
10.2%
14.3%
Over 27.5
8.5%
9.7%
Over 28.5
6.8%
7.4%
Over 29.5
5.1%
5.7%
Over 30.5
5.1%
5.1%
Over 31.5
3.4%
5.1%
Over 32.5
1.7%
2.9%
Over 33.5
0%
2.9%
Over 34.5
0%
1.7%
Over 35.5
0%
1.7%
Average Points
18
16.8
Over 19.5
47.5%
41.7%
Over 20.5
42.4%
36.6%
Over 21.5
33.9%
34.9%
Over 22.5
28.8%
30.3%
Over 23.5
27.1%
25.7%
Over 24.5
22%
20%
Over 25.5
20.3%
16.6%
Over 26.5
16.9%
14.9%
Over 27.5
16.9%
11.4%
Over 28.5
13.6%
8.6%
Over 29.5
11.9%
6.9%
Over 30.5
6.8%
4.6%
Over 31.5
3.4%
2.9%
Over 32.5
3.4%
1.7%
Over 33.5
3.4%
1.7%
Over 34.5
1.7%
0.6%
Over 35.5
0%
0.6%
Team Points By Half
1st Half (Q1+Q2)
2nd Half (Q3+Q4)
Average Points
38.8
35.2
Over 40.5
55.9%
48.6%
Over 41.5
54.2%
43.4%
Over 42.5
50.8%
37.7%
Over 43.5
45.8%
36%
Over 44.5
42.4%
33.1%
Over 45.5
40.7%
26.9%
Over 46.5
33.9%
21.7%
Over 47.5
30.5%
18.3%
Over 48.5
28.8%
15.4%
Over 49.5
23.7%
13.1%
Over 50.5
20.3%
12%
Over 51.5
18.6%
9.7%
Over 52.5
15.3%
8%
Over 53.5
13.6%
5.1%
Over 54.5
11.9%
4.6%
Over 55.5
6.8%
2.9%
Over 56.5
6.8%
1.7%
Over 57.5
1.7%
1.7%
Over 58.5
1.7%
1.1%
Over 59.5
1.7%
1.1%
Over 60.5
1.7%
1.1%
Over 61.5
1.7%
1.1%
Over 62.5
1.7%
0.6%
Over 63.5
0%
0.6%
Over 64.5
0%
0.6%
Over 65.5
0%
0.6%
Over 66.5
0%
0%
Over 67.5
0%
0%
Over 68.5
0%
0%
Over 69.5
0%
0%
Over 70.5
0%
0%
Over 71.5
0%
0%
Over 72.5
0%
0%
Over 73.5
0%
0%
Over 74.5
0%
0%
Over 75.5
0%
0%
Over 76.5
0%
0%
Over 77.5
0%
0%
Over 78.5
0%
0%
Average Points
37.3
34.1
Over 40.5
50.8%
40.6%
Over 41.5
45.8%
37.1%
Over 42.5
37.3%
33.1%
Over 43.5
35.6%
29.1%
Over 44.5
33.9%
26.3%
Over 45.5
28.8%
23.4%
Over 46.5
25.4%
21.1%
Over 47.5
25.4%
18.9%
Over 48.5
23.7%
17.7%
Over 49.5
22%
15.4%
Over 50.5
16.9%
14.3%
Over 51.5
16.9%
11.4%
Over 52.5
13.6%
9.1%
Over 53.5
10.2%
6.3%
Over 54.5
10.2%
5.1%
Over 55.5
6.8%
4.6%
Over 56.5
5.1%
2.3%
Over 57.5
1.7%
1.7%
Over 58.5
1.7%
1.1%
Over 59.5
1.7%
1.1%
Over 60.5
1.7%
0.6%
Over 61.5
0%
0%
Over 62.5
0%
0%
Over 63.5
0%
0%
Over 64.5
0%
0%
Over 65.5
0%
0%
Over 66.5
0%
0%
Over 67.5
0%
0%
Over 68.5
0%
0%
Over 69.5
0%
0%
Over 70.5
0%
0%
Over 71.5
0%
0%
Over 72.5
0%
0%
Over 73.5
0%
0%
Over 74.5
0%
0%
Over 75.5
0%
0%
Over 76.5
0%
0%
Over 77.5
0%
0%
Over 78.5
0%
0%
Point Spread O/U
Positive Spread
Negative Spread
Average Spread
-14.88
-2.45
Over 0.5
25.4%
41.1%
Over 1.5
25.4%
38.3%
Over 2.5
25.4%
36.0%
Over 3.5
22.0%
33.7%
Over 4.5
20.3%
33.7%
Over 5.5
16.9%
30.9%
Over 6.5
13.6%
29.1%
Over 7.5
13.6%
27.4%
Over 8.5
11.9%
25.1%
Over 9.5
11.9%
24.0%
Over 10.5
11.9%
22.3%
Over 11.5
10.2%
20.6%
Over 12.5
8.5%
16.6%
Over 13.5
8.5%
14.9%
Over 14.5
6.8%
13.7%
Over 15.5
5.1%
10.3%
Over 16.5
5.1%
9.7%
Over 17.5
5.1%
9.1%
Over 18.5
5.1%
8.6%
Over 19.5
5.1%
7.4%
Over -0.5
0%
0%
Over -1.5
27.1%
43.4%
Over -2.5
27.1%
45.1%
Over -3.5
27.1%
45.1%
Over -4.5
30.5%
50.9%
Over -5.5
39%
52%
Over -6.5
39%
52%
Over -7.5
40.7%
55.4%
Over -8.5
42.4%
58.3%
Over -9.5
45.8%
59.4%
Over -10.5
50.8%
61.1%
Over -11.5
50.8%
62.3%
Over -12.5
54.2%
63.4%
Over -13.5
57.6%
65.1%
Over -14.5
57.6%
66.9%
Over -15.5
59.3%
68%
Over -16.5
59.3%
68.6%
Over -17.5
62.7%
68.6%
Over -18.5
66.1%
69.7%
Over -19.5
66.1%
70.9%
Match Points - Over Stats
Over 211.5 - 250.5
Over 171.5 - 210.5
Points Per Game
Albury Wodonga Bandits
Melbourne Tigers
Average
Average PPG (Match)
158.69
140.57
149.63
Over 211.5
5.1%
1.1%
3.1%
Over 212.5
3.4%
1.1%
2.3%
Over 213.5
3.4%
1.1%
2.3%
Over 214.5
3.4%
0.6%
2%
Over 215.5
3.4%
0.6%
2%
Over 216.5
3.4%
0.6%
2%
Over 217.5
3.4%
0.6%
2%
Over 218.5
3.4%
0.0%
1.7%
Over 219.5
3.4%
0.0%
1.7%
Over 220.5
1.7%
0.0%
0.9%
Over 221.5
1.7%
0.0%
0.9%
Over 222.5
1.7%
0.0%
0.9%
Over 223.5
1.7%
0.0%
0.9%
Over 224.5
1.7%
0.0%
0.9%
Over 225.5
0.0%
0.0%
0%
Over 226.5
0.0%
0.0%
0%
Over 227.5
0.0%
0.0%
0%
Over 228.5
0.0%
0.0%
0%
Over 229.5
0.0%
0.0%
0%
Over 230.5
0.0%
0.0%
0%
Over 231.5
0.0%
0.0%
0%
Over 232.5
0.0%
0.0%
0%
Over 233.5
0.0%
0.0%
0%
Over 234.5
0.0%
0.0%
0%
Over 235.5
0.0%
0.0%
0%
Over 236.5
0.0%
0.0%
0%
Over 237.5
0.0%
0.0%
0%
Over 238.5
0.0%
0.0%
0%
Over 239.5
0.0%
0.0%
0%
Over 240.5
0.0%
0.0%
0%
Over 241.5
0.0%
0.0%
0%
Over 242.5
0.0%
0.0%
0%
Over 243.5
0.0%
0.0%
0%
Over 244.5
0.0%
0.0%
0%
Over 245.5
0.0%
0.0%
0%
Over 246.5
0.0%
0.0%
0%
Over 247.5
0.0%
0.0%
0%
Over 248.5
0.0%
0.0%
0%
Over 249.5
0.0%
0.0%
0%
Over 250.5
0.0%
0.0%
0%
Points Per Game
Albury Wodonga Bandits
Melbourne Tigers
Average
Over 171.5
64.4%
33.1%
48.8%
Over 171.5
64.4%
33.1%
48.8%
Over 172.5
59.3%
30.9%
45.1%
Over 173.5
55.9%
29.7%
42.8%
Over 174.5
55.9%
28.6%
42.3%
Over 175.5
52.5%
24.6%
38.6%
Over 176.5
47.5%
24.0%
35.8%
Over 177.5
47.5%
22.3%
34.9%
Over 178.5
45.8%
20.0%
32.9%
Over 179.5
44.1%
17.7%
30.9%
Over 180.5
44.1%
16.6%
30.4%
Over 181.5
42.4%
14.9%
28.7%
Over 182.5
39.0%
14.9%
27%
Over 183.5
35.6%
13.7%
24.7%
Over 184.5
33.9%
13.1%
23.5%
Over 185.5
33.9%
12.0%
23%
Over 186.5
32.2%
12.0%
22.1%
Over 187.5
28.8%
10.3%
19.6%
Over 188.5
28.8%
9.7%
19.3%
Over 189.5
25.4%
9.7%
17.6%
Over 190.5
25.4%
9.1%
17.3%
Over 191.5
23.7%
7.4%
15.6%
Over 192.5
23.7%
7.4%
15.6%
Over 193.5
23.7%
5.7%
14.7%
Over 194.5
20.3%
4.6%
12.5%
Over 195.5
15.3%
4.0%
9.7%
Over 196.5
13.6%
3.4%
8.5%
Over 197.5
11.9%
2.9%
7.4%
Over 198.5
11.9%
2.3%
7.1%
Over 199.5
11.9%
2.3%
7.1%
Over 200.5
11.9%
2.3%
7.1%
Over 201.5
11.9%
1.7%
6.8%
Over 202.5
11.9%
1.7%
6.8%
Over 203.5
11.9%
1.7%
6.8%
Over 204.5
11.9%
1.7%
6.8%
Over 205.5
8.5%
1.7%
5.1%
Over 206.5
8.5%
1.7%
5.1%
Over 207.5
6.8%
1.7%
4.3%
Over 208.5
6.8%
1.7%
4.3%
Over 209.5
5.1%
1.1%
3.1%
Players - General Performance
Plus/Minus
Rating
Players - Points Per Game
Points Per Game
Threes Made
Players - Rebounds
Rebounds
Offensive Rebounds
Defensive Rebounds
Players - Field Goals (Shot Efficiency)
Field goals
Shots efficiency
Players - Assists, Blocks & Steals
Assists
Blocks
Steals
H2H Matches
Current Season
All Matches
No matches found.
Date
Tournament
Results
Albury Wodonga Bandits Players
Melbourne Tigers Players
Form
Player
Pos
+1.0
Mason Gaze

F
+1.0
Michael Wearne

G
-1.0
Reece Bray

G
+1.0
Jack Purchase

F
-2.0
Taj Chehhal

G
+4.0
Tom Wilson

G
-
Felix von Hofe

G
+2.0
Kai Garnaut

C
-11.0
Bol Bak

G
-3.0
Remo Simankevicius

G
+5.0
Wilson Amos

F
-2.0
Austin Bradtke

F
+3.0
Christopher Arcidiacono

G
-1.0
Callan McDonald

F
-3.0
Jakobe Hunter

F
-2.0
Beau Koscak

F
+7.0
George Blagojevic

F
+9.0
Jack Purchase

F
+9.0
Joshua Sykes

F
-2.0
Luke Van Rijn

F
-1.0
Jack Whitbourn

C
-1.0
Jordon Timmons

C
+1.0
Van Merbin

F
-1.0
Samuel Haslett

F
+3.0
Harry Froling

G
-1.0
Patrick Twigg

F
-1.0
Justin Bond

G
-6.0
Matthew Power

F
-
Luca Laird

G
+4.0
Simon Bradbury

C
+1.0
Anthony Karabatsos

G
-
Harrison Froling

-
-11.0
Felix von Hofe DO NOT USE

G
Team
W-L
Win %

















