Zambia - Malawi: our prediction
Zambia vs Malawi Preview — Friendlies
Friendly match between Zambia (at home) and Malawi. Recent historical data shows Zambia struggles to win (1 win in 10), while Malawi is more solid (4 wins in 10). Both teams have offensive difficulties, with a low rate of matches over 2.5 goals. A tight and low-scoring match is expected.
Our Zambia vs Malawi predictions
Market signals on Zambia vs Malawi
PROPredictions detected by our algorithms and recommended by the market
Zambia vs Malawi Statistics
Win | 1 2 7 | 4 2 4 |
Win Draw Lose | ||
| 1 | 2 | |
|---|---|---|
Did not lose by being a favorite | 67% | 60% |
Victory by being rated between 1.00 and 1.20 | 0% | 0% |
Victory by being rated between 1.21 and 1.50 | 0% | 0% |
Victory by being rated between 1.51 and 1.80 | 0% | 0% |
Victory by being rated between 1.81 and above | 33% | 33% |
Win by being a favorite | 33% | 20% |
| 1 | 2 | |
|---|---|---|
Did not lose by being an outsider | 17% | 67% |
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% | 60% |
Win by being an outsider | 0% | 60% |
| 1 | 2 | |
|---|---|---|
Clean sheet | 20% 80% | 40% 60% |
Yes No | ||
| 1 | 2 | |
|---|---|---|
Both teams score | 30% 70% | 20% 30% |
Yes No | ||
| 1 | 2 | |
|---|---|---|
Draw at halftime | 50% 50% | 40% 60% |
Goals Over/Under 0.5 by team | 10% 90% | 20% 70% |
Goals Over/Under 0.5 per game | 50% 50% | 50% 40% |
Goals Over/Under 1.5 by team | 100% | 90% |
Goals Over/Under 1.5 per game | 20% 80% | 90% |
Leading at half-time | 100% | 20% 80% |
More goals Under goals | ||
| 1 | 2 | |
|---|---|---|
1st half | 20% | 20% |
2nd half | 50% | 50% |
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 per game | 90% 10% | 90% 10% |
Goals Over/Under 1.5 per game | 60% 40% | 50% 50% |
Goals Over/Under 2.5 per game | 30% 70% | 30% 70% |
Goals Over/Under 3.5 per game | 20% 80% | 10% 90% |
Goals Over/Under 4.5 per game | 10% 90% | 100% |
More goals Under goals | ||
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 by team | 40% 60% | 50% 50% |
Goals Over/Under 1.5 by team | 10% 90% | 30% 70% |
Goals Over/Under 2.5 by team | 100% | 10% 90% |
Goals Over/Under 3.5 by team | 100% | 100% |
Goals Over/Under 4.5 by team | 100% | 100% |
More goals Under goals | ||
| 1 | 2 | ||
|---|---|---|---|
| Joseph Sabobo | 25% (1/4) | 100% (2/2) | Gabadinho Mhango |
| Patson Daka | 20% (1/5) | 33% (1/3) | Chawanangwa Kaonga |
| Fashion Sakala | 25% (1/4) | 33% (1/3) | Richard Mbulu |
33% (1/3) | Mayele Malango |
| 1 | 2 | ||
|---|---|---|---|
| Patson Daka | ⚽1 | ⚽⚽2 | Gabadinho Mhango |
| Joseph Sabobo | ⚽1 | ⚽1 | Richard Mbulu |
| Fashion Sakala | ⚽1 | ⚽1 | Mayele Malango |
⚽1 | Chawanangwa Kaonga |
| 1 | 2 | |
|---|---|---|
Over corners 6.5 | 80% | 29% |
Over corners 7.5 | 70% | 29% |
Over corners 8.5 | 50% | 14% |
Over corners 9.5 | 40% | 0% |
Over corners 10.5 | 30% | 0% |
Over corners 11.5 | 20% | 0% |
Over corners 12.5 | 10% | 0% |
| 1 | 2 | |
|---|---|---|
Over corners 2.5 | 50% | 30% |
Over corners 3.5 | 50% | 30% |
Over corners 4.5 | 50% | 20% |
Over corners 5.5 | 40% | 20% |
Over corners 6.5 | 10% | 0% |
| 1 | 2 | |
|---|---|---|
0.5 | 10% | 30% |
1.5 | 0% | 20% |
2.5 | 0% | 20% |
3.5 | 0% | 10% |
4.5 | 0% | 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 | 50%(1/2) | |
| 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 | Indonesia | 50%(1/2) | |
| 71 | DR Congo | 100%(1/1) | |
| 72 | Tunisia | 33%(1/3) | |
| 73 | Togo | 50%(1/2) | |
| 74 | St. Kitts and Nevis | 50%(1/2) | |
| 75 | Iraq | 100%(1/1) | |
| 76 | Azerbaijan | 50%(1/2) | |
| 77 | Paraguay | 50%(1/2) | |
| 78 | South Korea | 33%(1/3) | |
| 79 | Madagascar | 33%(1/3) | |
| 80 | Bonaire | 50%(1/2) | |
| 81 | Turkiye | 100%(1/1) | |
| 82 | Faroe Islands | 33%(1/3) | |
| 83 | Finland | 33%(1/3) | |
| 84 | Equatorial Guinea | 50%(1/2) | |
| 85 | Ecuador | 33%(1/3) | |
| 86 | Saint Vincent and The Grenadines | 50%(1/2) | |
| 87 | Singapore | 50%(1/2) | |
| 88 | Norway | 33%(1/3) | |
| 89 | Scotland | 33%(1/3) | |
| 90 | Tanzania | 50%(1/2) | |
| 91 | Sweden | 0%(0/1) | |
| 92 | Greece | 0%(0/2) | |
| 93 | Gambia | 0%(0/2) | |
| 94 | South Africa | 0%(0/3) | |
| 95 | Qatar | 0%(0/4) | |
| 96 | Mali | 0%(0/1) | |
| 97 | Saudi Arabia | 0%(0/3) | |
| 98 | Romania | 0%(0/2) | |
| 99 | Honduras | 0%(0/1) | |
| 100 | Grenada | 0%(0/4) | |
| 101 | Armenia | 0%(0/2) | |
| 102 | Pakistan | 0%(0/1) | |
| 103 | Macao | 0%(0/2) | |
| 104 | Peru | 0%(0/2) | |
| 105 | Nicaragua | 0%(0/2) | |
| 106 | Iceland | 0%(0/4) | |
| 107 | North Macedonia | 0%(0/3) | |
| 108 | Zambia | 0%(0/3) | |
| 109 | Ghana | 0%(0/4) | |
| 110 | Bahamas | 0%(0/2) | |
| 111 | Guinea-Bissau | 0%(0/2) | |
| 112 | Albania | 0%(0/1) | |
| 113 | Kuwait | 0%(0/1) | |
| 114 | Maldives | 0%(0/1) | |
| 115 | Estonia | 0%(0/2) | |
| 116 | Mauritania | 0%(0/1) | |
| 117 | Martinique | 0%(0/2) | |
| 118 | Northern Ireland | 0%(0/2) | |
| 119 | Namibia | 0%(0/3) | |
| 120 | Sudan | 0%(0/1) | |
| 121 | Israel | 0%(0/1) | |
| 122 | Cuba | 0%(0/2) | |
| 123 | Comoros | 0%(0/2) | |
| 124 | Poland | 0%(0/1) | |
| 125 | Niger | 0%(0/2) | |
| 126 | Bosnia and Herzegovina | 0%(0/1) | |
| 127 | Wales | 0%(0/2) | |
| 128 | Barbados | 0%(0/2) | |
| 129 | Malawi | 0%(0/2) | |
| 130 | Libya | 0%(0/2) | |
| 131 | Kosovo | 0%(0/1) | |
| 132 | American Samoa | 0%(0/2) | |
| 133 | Bangladesh | 0%(0/2) | |
| 134 | England | 0%(0/2) | |
| 135 | Costa Rica | 0%(0/3) | |
| 136 | Uruguay | 0%(0/2) | |
| 137 | Belize | 0%(0/2) | |
| 138 | Haiti | 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
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