Hong Kong - Fiji: nuestro pronóstico
08/09/2024•05:00
Hong Kong
1:1
(0:1)
Finished
Fiji
-
1
-
X
-
2
No data
Our algorithms did not detect any prediction or value bet for this match.
Market signals on Hong Kong vs Fiji
PROPredictions detected by our algorithms and recommended by the market
Hong Kong vs Fiji Statistics
Victoria
 |  | |
|---|---|---|
Victoria | 1 1 8 | 4 1 5 |
Victoria Empate Derrota | ||
Cuando Favorito
| 1 | 2 | |
|---|---|---|
No pierde por ser un favorito | 100% | 50% |
Victoria al ser clasificado entre 1,00 y 1,200 | 0% | 0% |
Victoria al ser clasificado entre 1,21 y 1,50 | 0% | 0% |
Victoria al ser clasificado entre 1,51 y 1,80 | 100% | 100% |
Victoria al ser clasificado entre 1,81 y superior | 0% | 0% |
Victoria por ser favorito | 100% | 50% |
Cuando Outsider
| 1 | 2 | |
|---|---|---|
No pierde por ser outsider | 11% | 67% |
Victoria contra un oponente calificado entre 1,0 y 1,2 | 0% | 0% |
Victoria contra un oponente calificado entre 1,51 y 1,8 | 0% | 0% |
Victoria contra un oponente clasificado entre 1,21 y 1,5 | 0% | 0% |
Victoria contra un oponente clasificado entre 1,8 y más | 0% | 67% |
Victoria por ser outsider | 0% | 67% |
no recibió ningún gol
| 1 | 2 | |
|---|---|---|
no recibió ningún gol | 20% 80% | 20% 80% |
Sí No | ||
Ambos equipos anotan
| 1 | 2 | |
|---|---|---|
Ambos equipos anotan | 30% 70% | 60% 30% |
Sí No | ||
medio tiempo
| 1 | 2 | |
|---|---|---|
Empate en el descanso | 30% 70% | 20% 80% |
Lleva al descanso | 10% 90% | 40% 60% |
Más/Menos goles 0.5 por equipo | 30% 60% | 60% 40% |
Más/Menos goles 0.5 por partido | 70% 20% | 90% 10% |
Más/Menos goles 1.5 por equipo | 10% 80% | 10% 90% |
Más/Menos goles 1.5 por partido | 30% 60% | 30% 70% |
Más goles Menos goles | ||
Medio tiempo con los más goles
| 1 | 2 | |
|---|---|---|
Primer tiempo | 30% | 30% |
Seguno tiempo | 40% | 50% |
Más/Menos goles
| 1 | 2 | |
|---|---|---|
Más/Menos goles 0.5 por partido | 90% 10% | 100% |
Más/Menos goles 1.5 por partido | 80% 20% | 90% 10% |
Más/Menos goles 2.5 por partido | 60% 40% | 70% 30% |
Más/Menos goles 3.5 por partido | 20% 80% | 30% 70% |
Más/Menos goles 4.5 por partido | 10% 90% | 20% 80% |
Más goles Menos goles | ||
Más/Menos goles (por equipo)
| 1 | 2 | |
|---|---|---|
Más/Menos goles 0.5 por equipo | 40% 60% | 80% 20% |
Más/Menos goles 1.5 por equipo | 20% 80% | 40% 60% |
Más/Menos goles 2.5 por equipo | 10% 90% | 20% 80% |
Más/Menos goles 3.5 por equipo | 100% | 20% 80% |
Más/Menos goles 4.5 por equipo | 100% | 10% 90% |
Más goles Menos goles | ||
% de partidos en los que un jugador ha marcado
| 1 | 2 | ||
|---|---|---|---|
| Everton Camargo | 100% (2/2) | ||
| Stefan Pereira | 100% (1/1) | ||
| Wai Wong | 100% (1/1) | ||
| Raphael Merkies | 100% (1/1) | ||
| Juninho | 100% (1/1) |
Total goles por jugador
| 1 | 2 | ||
|---|---|---|---|
| Matthew Orr | ⚽⚽⚽3 | ⚽⚽⚽3 | Roy Krishna |
| Raphael Merkies | ⚽⚽⚽3 | ⚽1 | Dave Radrigai |
| Everton Camargo | ⚽⚽2 | ⚽1 | Merrill Nand |
| Stefan Pereira | ⚽1 | ⚽1 | Sairusi Nalaubu |
| Juninho | ⚽1 | ⚽1 | Ratu Waranaivalu |
| Wai Wong | ⚽1 | ⚽1 | Thomas Dunn |
Más saques de esquina (por partido)
| 1 | 2 | |
|---|---|---|
Más saques de esquina 10.5 | 0% | 0% |
Más saques de esquina 11.5 | 0% | 0% |
Más saques de esquina 12.5 | 0% | 0% |
Más saques de esquina 6.5 | 0% | 0% |
Más saques de esquina 7.5 | 0% | 0% |
Más saques de esquina 8.5 | 0% | 0% |
Más saques de esquina 9.5 | 0% | 0% |
Más saques de esquina (por equipo)
| 1 | 2 | |
|---|---|---|
Más saques de esquina 2.5 | 0% | 0% |
Más saques de esquina 3.5 | 0% | 0% |
Más saques de esquina 4.5 | 0% | 0% |
Más saques de esquina 5.5 | 0% | 0% |
Más saques de esquina 6.5 | 0% | 0% |
Más de X tarjetas amarillas (por equipo)
| 1 | 2 | |
|---|---|---|
0.5 | 50% | 0% |
1.5 | 30% | 0% |
2.5 | 0% | 0% |
3.5 | 0% | 0% |
4.5 | 0% | 0% |
5.5 | 0% | 0% |
Clasificación por apuesta
| # | Equipo | Acierto | |
|---|---|---|---|
| 1 | | Hong Kong | 64%(7/11) |
| 2 |  | Russia | 71%(5/7) |
| 3 |  | Libya | 67%(4/6) |
| 4 |  | Argentina | 80%(4/5) |
| 5 |  | Colombia | 100%(4/4) |
| 6 |  | Czechia | 100%(4/4) |
| 7 |  | Lebanon | 44%(4/9) |
| 8 |  | Iceland | 75%(3/4) |
| 9 |  | Mexico | 50%(3/6) |
| 10 |  | Malaysia | 43%(3/7) |
| 11 |  | Syria | 38%(3/8) |
| 12 |  | Moldova | 43%(3/7) |
| 13 |  | Brunei | 60%(3/5) |
| 14 |  | Saudi Arabia | 75%(3/4) |
| 15 |  | Mali | 100%(3/3) |
| 16 |  | Denmark | 75%(3/4) |
| 17 |  | Netherlands | 75%(3/4) |
| 18 |  | Austria | 75%(3/4) |
| 19 |  | Slovenia | 60%(3/5) |
| 20 |  | Senegal | 100%(3/3) |
| 21 |  | Croatia | 75%(3/4) |
| 22 |  | Hungary | 75%(3/4) |
| 23 |  | Germany | 75%(3/4) |
| 24 |  | Ecuador | 60%(3/5) |
| 25 |  | Peru | 75%(3/4) |
| 26 |  | Italy | 75%(3/4) |
| 27 |  | Portugal | 60%(3/5) |
| 28 |  | Algeria | 75%(3/4) |
| 29 |  | Tajikistan | 43%(3/7) |
| 30 |  | Thailand | 43%(3/7) |
| 31 |  | Spain | 50%(2/4) |
| 32 |  | Montenegro | 50%(2/4) |
| 33 |  | Belgium | 50%(2/4) |
| 34 |  | Bangladesh | 50%(2/4) |
| 35 |  | Albania | 50%(2/4) |
| 36 |  | Brazil | 50%(2/4) |
| 37 | | Fiji | 40%(2/5) |
| 38 |  | Poland | 100%(2/2) |
| 39 |  | Cape Verde | 67%(2/3) |
| 40 |  | Slovakia | 50%(2/4) |
| 41 |  | Central African Republic | 100%(2/2) |
| 42 |  | Canada | 40%(2/5) |
| 43 |  | Morocco | 50%(2/4) |
| 44 |  | Northern Ireland | 50%(2/4) |
| 45 |  | Sweden | 40%(2/5) |
| 46 |  | Jordan | 50%(2/4) |
| 47 |  | Egypt | 67%(2/3) |
| 48 |  | Kenya | 100%(2/2) |
| 49 |  | Switzerland | 50%(2/4) |
| 50 |  | Ivory Coast | 50%(2/4) |
| 51 |  | France | 50%(2/4) |
| 52 |  | Oman | 100%(2/2) |
| 53 |  | Serbia | 50%(2/4) |
| 54 |  | Chile | 67%(2/3) |
| 55 |  | Trinidad and Tobago | 40%(2/5) |
| 56 |  | Japan | 100%(2/2) |
| 57 |  | Azerbaijan | 50%(2/4) |
| 58 |  | Iran | 67%(2/3) |
| 59 |  | Cambodia | 33%(2/6) |
| 60 |  | Guinea | 67%(2/3) |
| 61 |  | Burkina Faso | 20%(1/5) |
| 62 |  | Guyana | 25%(1/4) |
| 63 |  | Angola | 25%(1/4) |
| 64 |  | Uruguay | 25%(1/4) |
| 65 |  | Paraguay | 25%(1/4) |
| 66 |  | Bermuda | 50%(1/2) |
| 67 |  | England | 25%(1/4) |
| 68 |  | Liechtenstein | 17%(1/6) |
| 69 |  | Mozambique | 50%(1/2) |
| 70 |  | Sudan | 50%(1/2) |
| 71 |  | Armenia | 25%(1/4) |
| 72 |  | Belize | 50%(1/2) |
| 73 |  | Guinea-Bissau | 33%(1/3) |
| 74 |  | Solomon Islands | 20%(1/5) |
| 75 |  | Faroe Islands | 25%(1/4) |
| 76 |  | Philippines | 17%(1/6) |
| 77 |  | Kyrgyzstan | 50%(1/2) |
| 78 |  | Greece | 33%(1/3) |
| 79 |  | Lesotho | 20%(1/5) |
| 80 |  | Sri Lanka | 17%(1/6) |
| 81 |  | Norway | 25%(1/4) |
| 82 |  | Papua New Guinea | 33%(1/3) |
| 83 |  | Bulgaria | 25%(1/4) |
| 84 |  | USA | 14%(1/7) |
| 85 |  | Malta | 17%(1/6) |
| 86 |  | Kazakhstan | 20%(1/5) |
| 87 |  | Ukraine | 33%(1/3) |
| 88 |  | Saint Vincent and The Grenadines | 100%(1/1) |
| 89 |  | Costa Rica | 33%(1/3) |
| 90 |  | Luxembourg | 33%(1/3) |
| 91 |  | Equatorial Guinea | 25%(1/4) |
| 92 |  | Bhutan | 25%(1/4) |
| 93 |  | Lithuania | 50%(1/2) |
| 94 |  | El Salvador | 17%(1/6) |
| 95 |  | Finland | 33%(1/3) |
| 96 |  | Kosovo | 33%(1/3) |
| 97 |  | Georgia | 100%(1/1) |
| 98 |  | Gibraltar | 25%(1/4) |
| 99 |  | New Zealand | 20%(1/5) |
| 100 |  | Scotland | 25%(1/4) |
| 101 |  | Estonia | 20%(1/5) |
| 102 |  | Dominican Republic | 50%(1/2) |
| 103 |  | Tanzania | 25%(1/4) |
| 104 |  | Cyprus | 20%(1/5) |
| 105 |  | Northern Mariana Islands | 50%(1/2) |
| 106 |  | Latvia | 25%(1/4) |
| 107 |  | Nepal | 50%(1/2) |
| 108 |  | Ireland | 25%(1/4) |
| 109 |  | Tunisia | 25%(1/4) |
| 110 |  | Guam | 25%(1/4) |
| 111 |  | Maldives | 50%(1/2) |
| 112 |  | Comoros | 50%(1/2) |
| 113 |  | Israel | 50%(1/2) |
| 114 |  | St. Kitts and Nevis | 50%(1/2) |
| 115 |  | Australia | 100%(1/1) |
| 116 |  | South Korea | 100%(1/1) |
| 117 |  | Togo | 33%(1/3) |
| 118 |  | Ethiopia | 50%(1/2) |
| 119 |  | Zambia | 33%(1/3) |
| 120 |  | Cuba | 100%(1/1) |
| 121 |  | Uganda | 33%(1/3) |
| 122 |  | Singapore | 50%(1/2) |
| 123 |  | Mongolia | 25%(1/4) |
| 124 |  | Bolivia | 20%(1/5) |
| 125 |  | Rwanda | 50%(1/2) |
| 126 |  | Nigeria | 33%(1/3) |
| 127 |  | Chinese Taipei | 33%(1/3) |
| 128 |  | Andorra | 17%(1/6) |
| 129 |  | Jamaica | 50%(1/2) |
| 130 |  | Madagascar | 50%(1/2) |
| 131 |  | Uzbekistan | 100%(1/1) |
| 132 |  | Myanmar | 25%(1/4) |
| 133 |  | Wales | 0%(0/2) |
| 134 |  | French Guiana | 0%(0/1) |
| 135 |  | Guatemala | 0%(0/7) |
| 136 |  | Indonesia | 0%(0/5) |
| 137 |  | China | 0%(0/1) |
| 138 |  | DR Congo | 0%(0/2) |
| 139 |  | Haiti | 0%(0/1) |
| 140 |  | North Korea | 0%(0/2) |
| 141 |  | Vietnam | 0%(0/5) |
| 142 |  | Aruba | 0%(0/1) |
| 143 |  | Vanuatu | 0%(0/3) |
| 144 |  | Mauritius | 0%(0/3) |
| 145 |  | Palestine | 0%(0/2) |
| 146 |  | South Africa | 0%(0/4) |
| 147 |  | Puerto Rico | 0%(0/2) |
| 148 |  | India | 0%(0/5) |
| 149 |  | Belarus | 0%(0/4) |
| 150 |  | Turkmenistan | 0%(0/2) |
| 151 |  | Ghana | 0%(0/4) |
| 152 |  | Grenada | 0%(0/1) |
| 153 |  | Niger | 0%(0/3) |
| 154 |  | Botswana | 0%(0/4) |
| 155 |  | Djibouti | 0%(0/1) |
| 156 |  | Yemen | 0%(0/1) |
| 157 |  | Bosnia and Herzegovina | 0%(0/2) |
| 158 |  | Namibia | 0%(0/1) |
| 159 |  | Romania | 0%(0/4) |
| 160 |  | Macao | 0%(0/1) |
| 161 |  | Qatar | 0%(0/1) |
| 162 |  | Cameroon | 0%(0/2) |
| 163 |  | Gabon | 0%(0/2) |
| 164 |  | Malawi | 0%(0/2) |
| 165 |  | Gambia | 0%(0/1) |
| 166 |  | Panama | 0%(0/3) |
| 167 |  | North Macedonia | 0%(0/4) |
| 168 |  | Afghanistan | 0%(0/2) |
| 169 |  | Turkiye | 0%(0/4) |
| 170 |  | Benin | 0%(0/2) |
| 171 |  | Mauritania | 0%(0/3) |
| 172 |  | Zimbabwe | 0%(0/2) |
| 173 |  | Nicaragua | 0%(0/3) |
| 174 |  | Suriname | 0%(0/1) |
| 175 |  | Cayman Islands | 0%(0/1) |
| 176 |  | San Marino | 0%(0/6) |
| 177 |  | Sierra Leone | 0%(0/2) |
| 178 |  | Martinique | 0%(0/1) |
| 179 |  | Burundi | 0%(0/3) |
| 180 |  | Laos | 0%(0/2) |
| 181 |  | UAE | 0%(0/1) |
| 182 |  | Venezuela | 0%(0/2) |
| 183 |  | Bonaire | 0%(0/1) |
| 184 |  | Bahrain | 0%(0/2) |
| 185 |  | Iraq | 0%(0/1) |
| 186 |  | Congo | 0%(0/1) |
| 187 |  | Kuwait | 0%(0/5) |
| 188 |  | Honduras | 0%(0/3) |
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
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