Indonesia - St. Kitts and Nevis: our prediction
27/03/2026•14:00
Indonesia
4:0
(2:0)
Finished
St. Kitts and Nevis
-
1
-
X
-
2
Indonesia vs St. Kitts and Nevis Preview — Friendlies
Indonesia, the home favorite, faces St. Kitts and Nevis in a friendly match. Recent statistics show a local team struggling (4 wins in 10 matches) against an even more fragile away team (1 away win). The odds clearly reflect this disparity with an Indonesian win at 1.07.
Our Indonesia vs St. Kitts and Nevis predictions
Indonesia Win
Indonesia is the overwhelming favorite (odds 1.07). Although their recent form is mixed (4W, 1D, 5L), they are playing at home and facing a very weak away team from St. Kitts and Nevis (only 1 win in 10 matches). Indonesia has won 3 of its last 4 matches as favorite. No major absences reported.
1.02
Confidence
Very high
Under 2.5 goals in the match
Statistics are mixed: Indonesia has seen under 2.5 goals in 5 of its last 10 matches, while St. Kitts and Nevis has seen under 2.5 goals in only 1 of its last 10. However, the match could be controlled by Indonesia without offensive excess. The low odds for the home win (1.07) suggest a one-sided match where the favorite might settle for a modest score after taking the lead. The lack of official competition (friendly) may also limit intensity.
2.92
Confidence
Medium
Market signals on Indonesia vs St. Kitts and Nevis
PROPredictions detected by our algorithms and recommended by the market
Indonesia vs St. Kitts and Nevis Statistics
Win
 |  | |
|---|---|---|
Win | 4 1 5 | 3 1 6 |
Win Draw Lose | ||
When Favorite
| 1 | 2 | |
|---|---|---|
Did not lose by being a favorite | 100% | 50% |
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 | 100% | 0% |
Win by being a favorite | 75% | 25% |
When Outsider
| 1 | 2 | |
|---|---|---|
Did not lose by being an outsider | 17% | 0% |
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 | 17% | 17% |
Win by being an outsider | 17% | 17% |
Clean sheet
| 1 | 2 | |
|---|---|---|
Clean sheet | 50% 50% | 20% 80% |
Yes No | ||
Both teams score
| 1 | 2 | |
|---|---|---|
Both teams score | 20% 80% | 60% 20% |
Yes No | ||
Half-time
| 1 | 2 | |
|---|---|---|
Draw at halftime | 20% 80% | 50% 50% |
Goals Over/Under 0.5 by team | 50% 50% | 50% 50% |
Goals Over/Under 0.5 per game | 80% 20% | 70% 30% |
Goals Over/Under 1.5 by team | 10% 90% | 30% 70% |
Goals Over/Under 1.5 per game | 50% 50% | 60% 40% |
Leading at half-time | 40% 60% | 30% 70% |
More goals Under goals | ||
Half with most goals
| 1 | 2 | |
|---|---|---|
1st half | 40% | 10% |
2nd half | 10% | 40% |
Goals Over/Under
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 per game | 90% 10% | 90% 10% |
Goals Over/Under 1.5 per game | 60% 40% | 90% 10% |
Goals Over/Under 2.5 per game | 50% 50% | 90% 10% |
Goals Over/Under 3.5 per game | 50% 50% | 70% 30% |
Goals Over/Under 4.5 per game | 40% 60% | 50% 50% |
More goals Under goals | ||
Goals Over/Under (by team)
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 by team | 60% 40% | 70% 30% |
Goals Over/Under 1.5 by team | 30% 70% | 60% 40% |
Goals Over/Under 2.5 by team | 10% 90% | 20% 80% |
Goals Over/Under 3.5 by team | 10% 90% | 20% 80% |
Goals Over/Under 4.5 by team | 10% 90% | 10% 90% |
More goals Under goals | ||
% of matches in which a player has scored
| 1 | 2 | ||
|---|---|---|---|
| Ole Romeny | 57% (4/7) | 50% (1/2) | G'Vaune Amory |
| Eliano Reijnders | 20% (1/5) | 100% (1/1) | Kimaree Rogers |
| Kevin Diks | 14% (1/7) | 50% (1/2) | Harry Panayiotou |
| Mauro Zijlstra | 50% (1/2) | 50% (1/2) | Tiquanny Williams |
| Ramadhan Sananta | 20% (1/5) | 50% (1/2) | Tyreece Simpson |
| Jordi Amat | 25% (1/4) | 50% (1/2) | Mervin Lewis |
| Sandy Walsh | 20% (1/5) | 100% (1/1) | Omari Sterling-James |
| Beckham Putra | 25% (1/4) | 50% (1/2) | Romaine Sawyers |
50% (1/2) | Nequan Browne |
Total goals per player
| 1 | 2 | ||
|---|---|---|---|
| Ole Romeny | ⚽⚽⚽⚽4 | ⚽⚽⚽3 | Kimaree Rogers |
| Kevin Diks | ⚽⚽2 | ⚽1 | Romaine Sawyers |
| Beckham Putra | ⚽⚽2 | ⚽1 | Mervin Lewis |
| Ramadhan Sananta | ⚽1 | ⚽1 | Omari Sterling-James |
| Eliano Reijnders | ⚽1 | ⚽1 | Tiquanny Williams |
| Mauro Zijlstra | ⚽1 | ⚽1 | Tyreece Simpson |
| Sandy Walsh | ⚽1 | ⚽1 | Harry Panayiotou |
| Jordi Amat | ⚽1 | ⚽1 | G'Vaune Amory |
⚽1 | Nequan Browne | ||
⚽1 | Kyle Kelly |
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 | 30% | 20% |
1.5 | 30% | 10% |
2.5 | 10% | 0% |
3.5 | 10% | 0% |
4.5 | 10% | 0% |
5.5 | 0% | 0% |
Ranking by bet
| # | Team | Success | |
|---|---|---|---|
| 1 |  | Mexico | 71%(5/7) |
| 2 |  | Nigeria | 75%(3/4) |
| 3 |  | Zimbabwe | 75%(3/4) |
| 4 |  | Japan | 100%(3/3) |
| 5 |  | Morocco | 75%(3/4) |
| 6 |  | Austria | 100%(3/3) |
| 7 |  | Germany | 75%(3/4) |
| 8 |  | Argentina | 67%(2/3) |
| 9 |  | Aruba | 100%(2/2) |
| 10 |  | Slovakia | 100%(2/2) |
| 11 |  | Jamaica | 67%(2/3) |
| 12 |  | Rwanda | 100%(2/2) |
| 13 |  | Egypt | 67%(2/3) |
| 14 |  | Belarus | 100%(2/2) |
| 15 |  | Ukraine | 67%(2/3) |
| 16 |  | Saint Martin | 100%(2/2) |
| 17 |  | Kazakhstan | 100%(2/2) |
| 18 |  | Puerto Rico | 100%(2/2) |
| 19 |  | Belgium | 67%(2/3) |
| 20 |  | Australia | 67%(2/3) |
| 21 |  | Senegal | 67%(2/3) |
| 22 |  | Ireland | 67%(2/3) |
| 23 |  | Brazil | 67%(2/3) |
| 24 |  | France | 100%(2/2) |
| 25 |  | Guyana | 100%(2/2) |
| 26 |  | Bulgaria | 67%(2/3) |
| 27 |  | Canada | 50%(2/4) |
| 28 |  | Benin | 100%(2/2) |
| 29 |  | Montenegro | 67%(2/3) |
| 30 |  | Iran | 67%(2/3) |
| 31 |  | Ivory Coast | 67%(2/3) |
| 32 |  | Netherlands | 50%(1/2) |
| 33 |  | El Salvador | 50%(1/2) |
| 34 |  | Venezuela | 50%(1/2) |
| 35 |  | Liechtenstein | 50%(1/2) |
| 36 |  | USA | 33%(1/3) |
| 37 |  | Croatia | 33%(1/3) |
| 38 |  | Cayman Islands | 50%(1/2) |
| 39 |  | New Zealand | 33%(1/3) |
| 40 |  | Portugal | 50%(1/2) |
| 41 |  | Bolivia | 33%(1/3) |
| 42 |  | British Virgin Islands | 50%(1/2) |
| 43 |  | Russia | 33%(1/3) |
| 44 |  | Chile | 50%(1/2) |
| 45 |  | Panama | 20%(1/5) |
| 46 |  | Anguilla | 50%(1/2) |
| 47 |  | Cape Verde | 33%(1/3) |
| 48 |  | Afghanistan | 100%(1/1) |
| 49 |  | Uzbekistan | 25%(1/4) |
| 50 |  | Hungary | 50%(1/2) |
| 51 |  | Lithuania | 50%(1/2) |
| 52 |  | Burkina Faso | 50%(1/2) |
| 53 |  | Slovenia | 50%(1/2) |
| 54 |  | Kenya | 50%(1/2) |
| 55 |  | Spain | 50%(1/2) |
| 56 |  | Guam | 50%(1/2) |
| 57 |  | Algeria | 50%(1/2) |
| 58 |  | Georgia | 33%(1/3) |
| 59 |  | Botswana | 50%(1/2) |
| 60 |  | Cyprus | 50%(1/2) |
| 61 |  | Switzerland | 33%(1/3) |
| 62 |  | Serbia | 25%(1/4) |
| 63 |  | Sint Maarten | 50%(1/2) |
| 64 |  | China | 33%(1/3) |
| 65 |  | Cameroon | 50%(1/2) |
| 66 |  | Czechia | 100%(1/1) |
| 67 |  | U.S. Virgin Islands | 50%(1/2) |
| 68 |  | Colombia | 33%(1/3) |
| 69 |  | Vietnam | 100%(1/1) |
| 70 |  | Haiti | 33%(1/3) |
| 71 | | Indonesia | 50%(1/2) |
| 72 |  | DR Congo | 100%(1/1) |
| 73 |  | Tunisia | 33%(1/3) |
| 74 |  | Togo | 50%(1/2) |
| 75 | | St. Kitts and Nevis | 50%(1/2) |
| 76 |  | Iraq | 100%(1/1) |
| 77 |  | Azerbaijan | 50%(1/2) |
| 78 |  | Paraguay | 50%(1/2) |
| 79 |  | South Korea | 33%(1/3) |
| 80 |  | Madagascar | 33%(1/3) |
| 81 |  | Bonaire | 50%(1/2) |
| 82 |  | Turkiye | 100%(1/1) |
| 83 |  | Faroe Islands | 33%(1/3) |
| 84 |  | Finland | 33%(1/3) |
| 85 |  | Equatorial Guinea | 50%(1/2) |
| 86 |  | Ecuador | 33%(1/3) |
| 87 |  | Saint Vincent and The Grenadines | 50%(1/2) |
| 88 |  | Singapore | 50%(1/2) |
| 89 |  | Norway | 33%(1/3) |
| 90 |  | Scotland | 33%(1/3) |
| 91 |  | Tanzania | 50%(1/2) |
| 92 |  | Sweden | 0%(0/1) |
| 93 |  | Greece | 0%(0/2) |
| 94 |  | Gambia | 0%(0/2) |
| 95 |  | South Africa | 0%(0/3) |
| 96 |  | Qatar | 0%(0/4) |
| 97 |  | Mali | 0%(0/1) |
| 98 |  | Saudi Arabia | 0%(0/3) |
| 99 |  | Romania | 0%(0/2) |
| 100 |  | Honduras | 0%(0/1) |
| 101 |  | Grenada | 0%(0/4) |
| 102 |  | Armenia | 0%(0/2) |
| 103 |  | Pakistan | 0%(0/1) |
| 104 |  | Macao | 0%(0/2) |
| 105 |  | Peru | 0%(0/2) |
| 106 |  | Nicaragua | 0%(0/2) |
| 107 |  | Iceland | 0%(0/4) |
| 108 |  | North Macedonia | 0%(0/3) |
| 109 |  | Zambia | 0%(0/3) |
| 110 |  | Ghana | 0%(0/4) |
| 111 |  | Bahamas | 0%(0/2) |
| 112 |  | Guinea-Bissau | 0%(0/2) |
| 113 |  | Albania | 0%(0/1) |
| 114 |  | Kuwait | 0%(0/1) |
| 115 |  | Maldives | 0%(0/1) |
| 116 |  | Estonia | 0%(0/2) |
| 117 |  | Mauritania | 0%(0/1) |
| 118 |  | Martinique | 0%(0/2) |
| 119 |  | Northern Ireland | 0%(0/2) |
| 120 |  | Namibia | 0%(0/3) |
| 121 |  | Sudan | 0%(0/1) |
| 122 |  | Israel | 0%(0/1) |
| 123 |  | Cuba | 0%(0/2) |
| 124 |  | Comoros | 0%(0/2) |
| 125 |  | Poland | 0%(0/1) |
| 126 |  | Niger | 0%(0/2) |
| 127 |  | Bosnia and Herzegovina | 0%(0/1) |
| 128 |  | Wales | 0%(0/2) |
| 129 |  | Barbados | 0%(0/2) |
| 130 |  | Malawi | 0%(0/2) |
| 131 |  | Libya | 0%(0/2) |
| 132 |  | Kosovo | 0%(0/1) |
| 133 |  | American Samoa | 0%(0/2) |
| 134 |  | Bangladesh | 0%(0/2) |
| 135 |  | England | 0%(0/2) |
| 136 |  | Costa Rica | 0%(0/3) |
| 137 |  | Uruguay | 0%(0/2) |
| 138 |  | Belize | 0%(0/2) |
| 139 |  | Jordan | 0%(0/3) |
| 140 |  | Mongolia | 0%(0/1) |
| 141 |  | Saint Lucia | 0%(0/1) |
| 142 |  | San Marino | 0%(0/2) |
| 143 |  | Moldova | 0%(0/2) |
| 144 |  | Dominica | 0%(0/2) |
| 145 |  | Bermuda | 0%(0/1) |
| 146 |  | Guatemala | 0%(0/2) |
| 147 |  | Guinea | 0%(0/2) |
| 148 |  | Burundi | 0%(0/1) |
| 149 |  | Oman | 0%(0/1) |
| 150 |  | UAE | 0%(0/2) |
| 151 |  | Solomon Islands | 0%(0/2) |
| 152 |  | Sierra Leone | 0%(0/2) |
| 153 |  | Curacao | 0%(0/3) |
| 154 |  | Liberia | 0%(0/2) |
| 155 |  | Malta | 0%(0/1) |
| 156 |  | Gabon | 0%(0/2) |
| 157 |  | Kyrgyzstan | 0%(0/2) |
| 158 |  | Dominican Republic | 0%(0/2) |
| 159 |  | Andorra | 0%(0/3) |
| 160 |  | India | 0%(0/2) |
| 161 |  | Trinidad and Tobago | 0%(0/4) |
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 :
- Comparateur de cotes en temps réel
- Analyses statistiques détaillées
- Prédictions basées sur l'intelligence artificielle
- Alertes de paris personnalisées
Betting actions
Manage your bets and alerts
TODAY'S OFFERS
Exclusive new customer offers