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Northern Mariana Islands4
American Samoa0
Tonga0
Tuvalu4
Tahiti2
Samoa1
Cook Islands
Papua New Guinea
New Caledonia1
Vanuatu0
Fiji0
Solomon Islands2American Samoa2Tonga6Northern Mariana Islands1Tuvalu4SamoaCook IslandsTahiti2Papua New Guinea0Vanuatu2Fiji4New Caledonia2 (1)Solomon Islands2 (0)
World
Pacific Games
Season Complete
22/24
Matches Played
92% Completed4.77
Avg Goals
73%
Over 2.5
32%
BTTS
Home Wins 36%Draws 14%Away Wins 50%
Pacific Games 2023
WinnerNew Caledonia
New CaledoniaFinal Phase
9th-12th Place Play-offs2 Matches
5th-8th Place Play-offs2 Matches
Semi-finals2 Matches
11th Place Final1 Match
9th Place Final1 Match
7th Place Final1 Match
5th Place Final1 Match
3rd Place Final1 Match
Final1 Match
FT
Northern Mariana Islands4American Samoa0FT
Tonga0Tuvalu4FT
Tahiti2Samoa1–, –
Cook IslandsPapua New GuineaFT
New Caledonia1Vanuatu0FT
Fiji0Solomon Islands2FT
American Samoa2Tonga6FT
Northern Mariana Islands1Tuvalu4–, –
SamoaCook IslandsFT
Tahiti2Papua New Guinea0FT
Vanuatu2Fiji4PENS
New Caledonia2 (1)Solomon Islands2 (0)World — Pacific Games 2023 — Detailed Stats
Table Analysis
Across 22 matches, the Pacific Games averages 4.77 goals per game — above the European average of 2.7 goals per game. Both teams scored (BTTS) in 32% of fixtures — typical of a defensively solid competition. Over 2.5 goals were recorded in 73% of matches.
Home sides have won 36% of matches, with 14% drawn and 50% going to away teams. Away teams perform strongly, with home advantage less pronounced than usual. null (Vanuatu) is the top scorer with 4 goals.
⚽ Goal StatisticsPacific Games 2023 · 22 matches
4.77
Goals / Match
2.23Home
2.55Away
Goals by 15-min interval
5
1
3
0
2
4
0-1516-3031-4546-6061-7576-90
60%1st Half
40%2nd Half
18.9'
Min / Goal
105 goals · 22 matches
-7%
Home ATK Advantage
Scores more than league avg
68%
Clean Sheets
15 of 22 matches
-7%
Home DEF Advantage
Concedes less than league avg
32%
Both Teams Scored
7 of 22 matches
Over / Under — First Half
Over 0.5
83.3%
Under 0.5
16.7%
Over 1.5
58.3%
Under 1.5
41.7%
Over 2.5
41.7%
Under 2.5
58.3%
Over 3.5
25%
Under 3.5
75%
Over 4.5
8.3%
Under 4.5
91.7%
Frequent Total Goals — First Half
1G
25% / 3×
4G
16.7% / 2×
3G
16.7% / 2×
2G
16.7% / 2×
0G
16.7% / 2×
Frequent Scorelines — First Half
1-0
16.7% / 2×
0-0
16.7% / 2×
0-4
16.7% / 2×
0-2
8.3% / 1×
0-3
8.3% / 1×
Over / Under — Full Time
Over 0.5
95.5%
Under 0.5
4.5%
Over 1.5
86.4%
Under 1.5
13.6%
Over 2.5
72.7%
Under 2.5
27.3%
Over 3.5
59.1%
Under 3.5
40.9%
Over 4.5
45.5%
Under 4.5
54.5%
Frequent Total Goals — Full Time
4G
13.6% / 3×
2G
13.6% / 3×
3G
13.6% / 3×
5G
9.1% / 2×
6G
9.1% / 2×
Frequent Scorelines — Full Time
1-4
4.5% / 1×
0-1
4.5% / 1×
10-0
4.5% / 1×
1-1
4.5% / 1×
1-2
4.5% / 1×
Match Predictions — F
|F|
Elo-based model · home advantage included