Indonesia - Oman: our prediction
05/06/2026•15:00
Indonesia
3:0
(2:0)
Finished
Oman
-
1
-
X
-
2
Indonesia vs Oman Preview — Friendlies
Friendly match between Indonesia and Oman. Indonesia is the favorite with odds of 2.2. In the last 10 matches, Indonesia has 4 wins, 1 draw and 5 losses. Oman has 3 wins, 4 draws and 3 losses. Both teams have offensive difficulties, with a low rate of 'Both teams to score' (Indonesia 20%, Oman 30%). The match promises to be tight and potentially low-scoring.
Our Indonesia vs Oman predictions
Under 2.5 goals
Indonesia has only 5 out of 10 matches with over 2.5 goals, and Oman only 2. Both teams struggle to score, with a low percentage of 'Both teams to score' (Indonesia 20%, Oman 30%). Furthermore, Oman has 80% of its matches under 2.5 goals. The match promises to be tight.
1.5
Confidence
High (65 %)
Under 1.5 goals for Oman
Oman has scored more than 1.5 goals in only 1 of their last 10 matches (10%). Indonesia has kept a clean sheet in 5 of their last 10 matches (50%). The Indonesian defense seems solid, and Oman struggles to score. It is very likely that Oman will score less than 1.5 goals.
1.3
Confidence
High (65 %)
Draw
Oman has 4 draws in their last 10 matches, while Indonesia has only one. The two teams are close in terms of form, with similar wins and losses. The odds (2.2 for Indonesia, 3.2 for Oman) suggest a balanced match. A draw is a plausible outcome.
2.9
Confidence
Medium (50 %)
Market signals on Indonesia vs Oman
PROPredictions detected by our algorithms and recommended by the market
Indonesia vs Oman Statistics
Win
 |  | |
|---|---|---|
Win | 4 1 5 | 3 4 3 |
Win Draw Lose | ||
When Favorite
| 1 | 2 | |
|---|---|---|
Did not lose by being a favorite | 83% | 100% |
Victory by being rated between 1.00 and 1.20 | 100% | 0% |
Victory by being rated between 1.21 and 1.50 | 0% | 0% |
Victory by being rated between 1.51 and 1.80 | 50% | 0% |
Victory by being rated between 1.81 and above | 50% | 75% |
Win by being a favorite | 67% | 75% |
When Outsider
| 1 | 2 | |
|---|---|---|
Did not lose by being an outsider | 0% | 50% |
Win against an opponent rated between 1.0 and 1.2 | 0% | 0% |
Win against an opponent rated between 1.21 and 1.5 | 0% | 0% |
Win against an opponent rated between 1.51 and 1.8 | 0% | 0% |
Win against an opponent rated between 1.8 and above | 0% | 0% |
Win by being an outsider | 0% | 0% |
Clean sheet
| 1 | 2 | |
|---|---|---|
Clean sheet | 50% 50% | 50% 50% |
Yes No | ||
Both teams score
| 1 | 2 | |
|---|---|---|
Both teams score | 20% 80% | 30% 20% |
Yes No | ||
Half-time
| 1 | 2 | |
|---|---|---|
Draw at halftime | 20% 80% | 50% 50% |
Goals Over/Under 0.5 by team | 50% 50% | 20% 80% |
Goals Over/Under 0.5 per game | 80% 20% | 50% 50% |
Goals Over/Under 1.5 by team | 20% 80% | 100% |
Goals Over/Under 1.5 per game | 50% 50% | 10% 90% |
Leading at half-time | 40% 60% | 20% 80% |
More goals Under goals | ||
Half with most goals
| 1 | 2 | |
|---|---|---|
1st half | 50% | 20% |
2nd half | 10% | 50% |
Goals Over/Under
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 per game | 90% 10% | 80% 20% |
Goals Over/Under 1.5 per game | 50% 50% | 60% 40% |
Goals Over/Under 2.5 per game | 50% 50% | 20% 80% |
Goals Over/Under 3.5 per game | 50% 50% | 100% |
Goals Over/Under 4.5 per game | 40% 60% | 100% |
More goals Under goals | ||
Goals Over/Under (by team)
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 by team | 60% 40% | 60% 40% |
Goals Over/Under 1.5 by team | 30% 70% | 10% 90% |
Goals Over/Under 2.5 by team | 20% 80% | 100% |
Goals Over/Under 3.5 by team | 20% 80% | 100% |
Goals Over/Under 4.5 by team | 10% 90% | 100% |
More goals Under goals | ||
% of matches in which a player has scored
| 1 | 2 | ||
|---|---|---|---|
| Ole Romeny | 60% (3/5) | 40% (2/5) | Issam Al Sabhi |
| Beckham Putra | 25% (1/4) | 20% (1/5) | Zahir Al Aghbari |
| Jordi Amat | 50% (1/2) | ||
| Sandy Walsh | 33% (1/3) | ||
| Kevin Diks | 20% (1/5) | ||
| Eliano Reijnders | 33% (1/3) | ||
| Ramadhan Sananta | 33% (1/3) | ||
| Mauro Zijlstra | 50% (1/2) |
Total goals per player
| 1 | 2 | ||
|---|---|---|---|
| Ole Romeny | ⚽⚽⚽3 | ⚽⚽2 | Issam Al Sabhi |
| Beckham Putra | ⚽⚽2 | ⚽1 | Zahir Al Aghbari |
| Kevin Diks | ⚽⚽2 | ||
| Sandy Walsh | ⚽1 | ||
| Jordi Amat | ⚽1 | ||
| Ramadhan Sananta | ⚽1 | ||
| Eliano Reijnders | ⚽1 | ||
| Mauro Zijlstra | ⚽1 |
Over corners (per game)
| 1 | 2 | |
|---|---|---|
Over corners 6.5 | 0% | 0% |
Over corners 7.5 | 0% | 0% |
Over corners 8.5 | 0% | 0% |
Over corners 9.5 | 0% | 0% |
Over corners 10.5 | 0% | 0% |
Over corners 11.5 | 0% | 0% |
Over corners 12.5 | 0% | 0% |
Over corners (per team)
| 1 | 2 | |
|---|---|---|
Over corners 2.5 | 0% | 0% |
Over corners 3.5 | 0% | 0% |
Over corners 4.5 | 0% | 0% |
Over corners 5.5 | 0% | 0% |
Over corners 6.5 | 0% | 0% |
Over X yellow cards (per team)
| 1 | 2 | |
|---|---|---|
0.5 | 20% | 40% |
1.5 | 20% | 20% |
2.5 | 0% | 0% |
3.5 | 0% | 0% |
4.5 | 0% | 0% |
5.5 | 0% | 0% |
Ranking by bet
| # | Team | Success | |
|---|---|---|---|
| 1 |  | Mexico | 75%(6/8) |
| 2 |  | Argentina | 80%(4/5) |
| 3 |  | Germany | 80%(4/5) |
| 4 |  | Russia | 60%(3/5) |
| 5 |  | Portugal | 75%(3/4) |
| 6 |  | Hungary | 60%(3/5) |
| 7 |  | Zimbabwe | 75%(3/4) |
| 8 |  | Belarus | 75%(3/4) |
| 9 |  | Morocco | 60%(3/5) |
| 10 |  | Japan | 100%(3/3) |
| 11 |  | Belgium | 75%(3/4) |
| 12 |  | Pakistan | 75%(3/4) |
| 13 | | Indonesia | 75%(3/4) |
| 14 |  | Brazil | 75%(3/4) |
| 15 |  | France | 75%(3/4) |
| 16 |  | Austria | 75%(3/4) |
| 17 |  | Iran | 75%(3/4) |
| 18 |  | Algeria | 75%(3/4) |
| 19 |  | Ivory Coast | 75%(3/4) |
| 20 |  | Nigeria | 50%(3/6) |
| 21 |  | Netherlands | 50%(2/4) |
| 22 |  | Venezuela | 50%(2/4) |
| 23 |  | Gibraltar | 100%(2/2) |
| 24 |  | Croatia | 50%(2/4) |
| 25 |  | British Virgin Islands | 50%(2/4) |
| 26 |  | Aruba | 67%(2/3) |
| 27 |  | Slovakia | 67%(2/3) |
| 28 |  | Chile | 50%(2/4) |
| 29 |  | Panama | 29%(2/7) |
| 30 |  | Jamaica | 50%(2/4) |
| 31 |  | Cape Verde | 50%(2/4) |
| 32 |  | Rwanda | 50%(2/4) |
| 33 |  | Estonia | 50%(2/4) |
| 34 |  | Egypt | 50%(2/4) |
| 35 |  | Turkiye | 100%(2/2) |
| 36 |  | Kenya | 50%(2/4) |
| 37 |  | Saint Martin | 100%(2/2) |
| 38 |  | Spain | 50%(2/4) |
| 39 |  | Ukraine | 50%(2/4) |
| 40 |  | Italy | 100%(2/2) |
| 41 |  | Georgia | 50%(2/4) |
| 42 |  | Cyprus | 50%(2/4) |
| 43 |  | Kazakhstan | 40%(2/5) |
| 44 |  | Puerto Rico | 67%(2/3) |
| 45 |  | Cambodia | 100%(2/2) |
| 46 |  | Australia | 50%(2/4) |
| 47 |  | Ireland | 50%(2/4) |
| 48 |  | Senegal | 50%(2/4) |
| 49 |  | England | 50%(2/4) |
| 50 |  | China | 40%(2/5) |
| 51 |  | Colombia | 50%(2/4) |
| 52 |  | Togo | 50%(2/4) |
| 53 |  | Paraguay | 67%(2/3) |
| 54 |  | Guyana | 100%(2/2) |
| 55 |  | Azerbaijan | 50%(2/4) |
| 56 |  | South Korea | 50%(2/4) |
| 57 |  | Benin | 40%(2/5) |
| 58 |  | Bulgaria | 50%(2/4) |
| 59 |  | Faroe Islands | 40%(2/5) |
| 60 |  | Canada | 40%(2/5) |
| 61 |  | Czechia | 100%(2/2) |
| 62 |  | Philippines | 100%(2/2) |
| 63 |  | Ecuador | 50%(2/4) |
| 64 |  | Montenegro | 50%(2/4) |
| 65 |  | Scotland | 50%(2/4) |
| 66 |  | South Africa | 25%(1/4) |
| 67 |  | Cayman Islands | 33%(1/3) |
| 68 |  | Liechtenstein | 25%(1/4) |
| 69 |  | USA | 25%(1/4) |
| 70 |  | Tajikistan | 50%(1/2) |
| 71 |  | Saudi Arabia | 20%(1/5) |
| 72 |  | Romania | 33%(1/3) |
| 73 |  | New Zealand | 25%(1/4) |
| 74 |  | Peru | 25%(1/4) |
| 75 |  | Bolivia | 20%(1/5) |
| 76 |  | Anguilla | 50%(1/2) |
| 77 |  | Kosovo | 50%(1/2) |
| 78 |  | Hong Kong | 50%(1/2) |
| 79 |  | Angola | 50%(1/2) |
| 80 |  | Mauritania | 33%(1/3) |
| 81 |  | Uzbekistan | 20%(1/5) |
| 82 |  | Burkina Faso | 25%(1/4) |
| 83 |  | Lithuania | 25%(1/4) |
| 84 |  | Slovenia | 25%(1/4) |
| 85 |  | Northern Ireland | 25%(1/4) |
| 86 |  | Israel | 50%(1/2) |
| 87 |  | Botswana | 33%(1/3) |
| 88 |  | Guam | 25%(1/4) |
| 89 |  | Luxembourg | 50%(1/2) |
| 90 |  | Switzerland | 25%(1/4) |
| 91 |  | Bangladesh | 20%(1/5) |
| 92 |  | Sint Maarten | 50%(1/2) |
| 93 |  | Serbia | 20%(1/5) |
| 94 |  | Malta | 50%(1/2) |
| 95 |  | Vietnam | 100%(1/1) |
| 96 |  | Cameroon | 50%(1/2) |
| 97 |  | Iraq | 33%(1/3) |
| 98 |  | U.S. Virgin Islands | 50%(1/2) |
| 99 |  | Afghanistan | 25%(1/4) |
| 100 |  | Sri Lanka | 100%(1/1) |
| 101 |  | DR Congo | 33%(1/3) |
| 102 |  | Haiti | 25%(1/4) |
| 103 |  | Denmark | 50%(1/2) |
| 104 |  | Tunisia | 25%(1/4) |
| 105 |  | St. Kitts and Nevis | 50%(1/2) |
| 106 |  | Madagascar | 25%(1/4) |
| 107 |  | Bonaire | 33%(1/3) |
| 108 | | Oman | 33%(1/3) |
| 109 |  | Myanmar | 50%(1/2) |
| 110 |  | Ethiopia | 50%(1/2) |
| 111 |  | Equatorial Guinea | 25%(1/4) |
| 112 |  | Saint Vincent and The Grenadines | 50%(1/2) |
| 113 |  | Liberia | 25%(1/4) |
| 114 |  | Sierra Leone | 25%(1/4) |
| 115 |  | Singapore | 33%(1/3) |
| 116 |  | Finland | 25%(1/4) |
| 117 |  | Vanuatu | 50%(1/2) |
| 118 |  | Curacao | 25%(1/4) |
| 119 |  | Norway | 25%(1/4) |
| 120 |  | El Salvador | 25%(1/4) |
| 121 |  | Andorra | 20%(1/5) |
| 122 |  | Tanzania | 25%(1/4) |
| 123 |  | Mali | 0%(0/2) |
| 124 |  | Greece | 0%(0/4) |
| 125 |  | Gambia | 0%(0/2) |
| 126 |  | Honduras | 0%(0/2) |
| 127 |  | Qatar | 0%(0/5) |
| 128 |  | Bosnia and Herzegovina | 0%(0/2) |
| 129 |  | Thailand | 0%(0/2) |
| 130 |  | Grenada | 0%(0/4) |
| 131 |  | Nicaragua | 0%(0/3) |
| 132 |  | Armenia | 0%(0/4) |
| 133 |  | Macao | 0%(0/2) |
| 134 |  | Zambia | 0%(0/3) |
| 135 |  | Bahamas | 0%(0/2) |
| 136 |  | Guinea-Bissau | 0%(0/2) |
| 137 |  | Iceland | 0%(0/5) |
| 138 |  | North Macedonia | 0%(0/3) |
| 139 |  | Mongolia | 0%(0/2) |
| 140 |  | Ghana | 0%(0/4) |
| 141 |  | Martinique | 0%(0/2) |
| 142 |  | Albania | 0%(0/3) |
| 143 |  | Kuwait | 0%(0/2) |
| 144 |  | Burundi | 0%(0/2) |
| 145 |  | Central African Republic | 0%(0/2) |
| 146 |  | Wales | 0%(0/3) |
| 147 |  | Cuba | 0%(0/2) |
| 148 |  | Namibia | 0%(0/3) |
| 149 |  | Lesotho | 0%(0/2) |
| 150 |  | Comoros | 0%(0/4) |
| 151 |  | Bhutan | 0%(0/2) |
| 152 |  | Barbados | 0%(0/2) |
| 153 |  | Malawi | 0%(0/4) |
| 154 |  | Niger | 0%(0/6) |
| 155 |  | Costa Rica | 0%(0/4) |
| 156 |  | Libya | 0%(0/2) |
| 157 |  | American Samoa | 0%(0/2) |
| 158 |  | Belize | 0%(0/2) |
| 159 |  | Jordan | 0%(0/4) |
| 160 |  | San Marino | 0%(0/4) |
| 161 |  | Uruguay | 0%(0/2) |
| 162 |  | Dominica | 0%(0/2) |
| 163 |  | Saint Lucia | 0%(0/1) |
| 164 |  | Maldives | 0%(0/3) |
| 165 |  | Uganda | 0%(0/2) |
| 166 |  | Bermuda | 0%(0/2) |
| 167 |  | Moldova | 0%(0/4) |
| 168 |  | Guinea | 0%(0/3) |
| 169 |  | Latvia | 0%(0/2) |
| 170 |  | Palestine | 0%(0/2) |
| 171 |  | UAE | 0%(0/2) |
| 172 |  | Mozambique | 0%(0/2) |
| 173 |  | Guatemala | 0%(0/5) |
| 174 |  | Bahrain | 0%(0/2) |
| 175 |  | Solomon Islands | 0%(0/2) |
| 176 |  | Kyrgyzstan | 0%(0/4) |
| 177 |  | Dominican Republic | 0%(0/3) |
| 178 |  | Poland | 0%(0/2) |
| 179 |  | Gabon | 0%(0/2) |
| 180 |  | Sudan | 0%(0/1) |
| 181 |  | Sweden | 0%(0/2) |
| 182 |  | India | 0%(0/4) |
| 183 |  | Trinidad and Tobago | 0%(0/5) |
| 184 |  | Syria | 0%(0/2) |
| 185 |  | Fiji | 0%(0/2) |
Guide complet des paris sportifs - Friendlies
Bienvenue dans notre guide complet des paris sportifs pour Friendlies. Que vous soyez un parieur débutant ou expérimenté, nous vous proposons une analyse approfondie et des conseils experts pour optimiser vos paris sur cette compétition.
Présentation de la compétition
Friendlies est l'une des compétitions majeures de International. Avec son histoire riche et son niveau de jeu élevé, elle offre de nombreuses opportunités pour les parieurs avertis.
Types de paris populaires
Les paris les plus populaires dans cette compétition incluent :
- Paris sur le résultat final (1X2)
- Paris sur le nombre de buts
- Paris combinés
- Paris en direct
- Paris sur les buteurs
Facteurs clés à considérer
Pour réussir vos paris sur Friendlies, prenez en compte ces éléments essentiels :
- Forme actuelle des équipes
- Historique des confrontations directes
- Blessures et suspensions
- Conditions météorologiques
- Enjeux du match
Stratégies de paris recommandées
Nos experts recommandent les stratégies suivantes pour cette compétition :
- Analyse approfondie des statistiques
- Suivi des tendances de marché
- Gestion rigoureuse de bankroll
- Diversification des types de paris
Outils et ressources
Pour optimiser vos paris, utilisez nos outils spécialisés :
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- Prédictions basées sur l'intelligence artificielle
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