Colombia - Australia: our prediction
19/11/2025•02:30
Colombia
3:0
(0:0)
Finished
Australia
-
1
-
X
-
2
Colombia vs Australia Preview — Friendlies
Friendly match between Colombia, home favorite, and Australia. Colombia has won 4 of its last 10 matches, while Australia has won 7. Both teams have scored in 50% of their recent matches. Odds: Colombia 1.41, Draw 4.33, Australia 6.88.
Our Colombia vs Australia predictions
Over 2.5 Goals
Colombia had over 2.5 goals in 60% of its last 10 matches, Australia in 50%. With productive attacks from both sides, this scenario is likely.
2.1
Confidence
Medium
Both Teams to Score
Both teams have scored in 50% of their last 10 matches. Colombia conceded at least one goal in 60% of its matches, Australia in 50%. Balanced statistics for this scenario.
2.48
Confidence
Medium
Colombia Victory
Colombia, home favorite, has won 40% of its last 10 matches. Australia has a better statistic (70%) but plays away. The low odds of 1.41 reflect Colombia's favorite position.
1.37
Confidence
Medium
Market signals on Colombia vs Australia
PROPredictions detected by our algorithms and recommended by the market
Colombia vs Australia Statistics
Win
 |  | |
|---|---|---|
Win | 4 4 2 | 7 1 2 |
Win Draw Lose | ||
When Favorite
| 1 | 2 | |
|---|---|---|
Did not lose by being a favorite | 88% | 86% |
Victory by being rated between 1.00 and 1.20 | 100% | 0% |
Victory by being rated between 1.21 and 1.50 | 0% | 100% |
Victory by being rated between 1.51 and 1.80 | 0% | 0% |
Victory by being rated between 1.81 and above | 100% | 67% |
Win by being a favorite | 50% | 71% |
When Outsider
| 1 | 2 | |
|---|---|---|
Did not lose by being an outsider | 50% | 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% | 67% |
Win by being an outsider | 0% | 67% |
Clean sheet
| 1 | 2 | |
|---|---|---|
Clean sheet | 40% 60% | 40% 60% |
Yes No | ||
Both teams score
| 1 | 2 | |
|---|---|---|
Both teams score | 50% 50% | 50% 50% |
Yes No | ||
Half-time
| 1 | 2 | |
|---|---|---|
Draw at halftime | 40% 60% | 50% 50% |
Goals Over/Under 0.5 by team | 70% 30% | 60% 40% |
Goals Over/Under 0.5 per game | 80% 20% | 70% 30% |
Goals Over/Under 1.5 by team | 20% 80% | 20% 80% |
Goals Over/Under 1.5 per game | 30% 70% | 40% 60% |
Leading at half-time | 50% 50% | 40% 60% |
More goals Under goals | ||
Half with most goals
| 1 | 2 | |
|---|---|---|
1st half | 30% | 40% |
2nd half | 40% | 50% |
Goals Over/Under
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 per game | 80% 20% | 100% |
Goals Over/Under 1.5 per game | 70% 30% | 60% 40% |
Goals Over/Under 2.5 per game | 60% 40% | 50% 50% |
Goals Over/Under 3.5 per game | 30% 70% | 30% 70% |
Goals Over/Under 4.5 per game | 10% 90% | 10% 90% |
More goals Under goals | ||
Goals Over/Under (by team)
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 by team | 70% 30% | 90% 10% |
Goals Over/Under 1.5 by team | 50% 50% | 50% 50% |
Goals Over/Under 2.5 by team | 30% 70% | 20% 80% |
Goals Over/Under 3.5 by team | 20% 80% | 10% 90% |
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 | ||
|---|---|---|---|
| Luis Diaz | 67% (4/6) | 100% (3/3) | Nestory Irankunda |
| Jefferson Lerma | 33% (2/6) | 100% (3/3) | Jordan Bos |
| Jhon Cordoba | 50% (2/4) | 100% (1/1) | Awer Mabil |
| Johan Carbonero | 67% (2/3) | 33% (1/3) | Mohamed Toure |
| Luis Suarez | 33% (2/6) | 33% (1/3) | Alessandro Circati |
| James Rodriguez | 33% (2/6) | 100% (1/1) | Maximilien Balard |
| Jhon Lucumi | 17% (1/6) | ||
| Jhon Arias | 20% (1/5) | ||
| Juan Quintero | 20% (1/5) | ||
| Yerry Mina | 33% (1/3) | ||
| Jaminton Campaz | 17% (1/6) | ||
| Davinson Sanchez | 17% (1/6) |
Total goals per player
| 1 | 2 | ||
|---|---|---|---|
| Luis Suarez | ⚽⚽⚽⚽⚽5 | ⚽⚽⚽⚽4 | Nestory Irankunda |
| Luis Diaz | ⚽⚽⚽⚽4 | ⚽⚽⚽3 | Jordan Bos |
| Jhon Cordoba | ⚽⚽2 | ⚽⚽2 | Mohamed Toure |
| Johan Carbonero | ⚽⚽2 | ⚽1 | Alessandro Circati |
| Jefferson Lerma | ⚽⚽2 | ⚽1 | Awer Mabil |
| James Rodriguez | ⚽⚽2 | ⚽1 | Maximilien Balard |
| Jhon Arias | ⚽1 | ||
| Yerry Mina | ⚽1 | ||
| Jaminton Campaz | ⚽1 | ||
| Davinson Sanchez | ⚽1 | ||
| Juan Quintero | ⚽1 | ||
| Jhon Lucumi | ⚽1 |
Over corners (per game)
| 1 | 2 | |
|---|---|---|
Over corners 6.5 | 60% | 0% |
Over corners 7.5 | 30% | 0% |
Over corners 8.5 | 30% | 0% |
Over corners 9.5 | 20% | 0% |
Over corners 10.5 | 10% | 0% |
Over corners 11.5 | 10% | 0% |
Over corners 12.5 | 10% | 0% |
Over corners (per team)
| 1 | 2 | |
|---|---|---|
Over corners 2.5 | 40% | 0% |
Over corners 3.5 | 40% | 0% |
Over corners 4.5 | 30% | 0% |
Over corners 5.5 | 10% | 0% |
Over corners 6.5 | 0% | 0% |
Over X yellow cards (per team)
| 1 | 2 | |
|---|---|---|
0.5 | 60% | 20% |
1.5 | 30% | 0% |
2.5 | 20% | 0% |
3.5 | 0% | 0% |
4.5 | 0% | 0% |
5.5 | 0% | 0% |
Ranking by bet
| # | Team | Success | |
|---|---|---|---|
| 1 |  | USA | 60%(6/10) |
| 2 |  | Russia | 60%(6/10) |
| 3 |  | Morocco | 100%(5/5) |
| 4 |  | Thailand | 80%(4/5) |
| 5 |  | South Korea | 67%(4/6) |
| 6 |  | Canada | 50%(4/8) |
| 7 |  | Grenada | 67%(4/6) |
| 8 |  | Saint Vincent and The Grenadines | 57%(4/7) |
| 9 |  | Burkina Faso | 57%(4/7) |
| 10 |  | Chile | 67%(4/6) |
| 11 |  | DR Congo | 100%(3/3) |
| 12 |  | Tunisia | 38%(3/8) |
| 13 |  | Saudi Arabia | 60%(3/5) |
| 14 |  | Sweden | 75%(3/4) |
| 15 |  | Senegal | 33%(3/9) |
| 16 |  | Argentina | 75%(3/4) |
| 17 |  | Japan | 50%(3/6) |
| 18 | | Colombia | 75%(3/4) |
| 19 |  | South Africa | 60%(3/5) |
| 20 |  | Switzerland | 75%(3/4) |
| 21 |  | Algeria | 43%(3/7) |
| 22 |  | Belarus | 75%(3/4) |
| 23 |  | St. Kitts and Nevis | 43%(3/7) |
| 24 |  | Australia | 43%(3/7) |
| 25 |  | Anguilla | 33%(2/6) |
| 26 |  | Denmark | 100%(2/2) |
| 27 |  | Jamaica | 50%(2/4) |
| 28 |  | Albania | 100%(2/2) |
| 29 |  | Sri Lanka | 50%(2/4) |
| 30 |  | Angola | 67%(2/3) |
| 31 |  | Dominican Republic | 29%(2/7) |
| 32 |  | Belize | 67%(2/3) |
| 33 |  | Niger | 29%(2/7) |
| 34 |  | UAE | 100%(2/2) |
| 35 |  | Cuba | 50%(2/4) |
| 36 |  | Aruba | 67%(2/3) |
| 37 |  | British Virgin Islands | 50%(2/4) |
| 38 |  | Kosovo | 100%(2/2) |
| 39 |  | Uruguay | 50%(2/4) |
| 40 |  | Guyana | 100%(2/2) |
| 41 |  | Malaysia | 50%(2/4) |
| 42 |  | Oman | 50%(2/4) |
| 43 |  | Comoros | 50%(2/4) |
| 44 |  | Lebanon | 40%(2/5) |
| 45 |  | Slovenia | 100%(2/2) |
| 46 |  | Poland | 100%(2/2) |
| 47 |  | Tanzania | 25%(2/8) |
| 48 |  | Iraq | 100%(2/2) |
| 49 |  | Kenya | 17%(2/12) |
| 50 |  | Uganda | 25%(2/8) |
| 51 |  | Uzbekistan | 40%(2/5) |
| 52 |  | Brazil | 50%(2/4) |
| 53 |  | Greece | 100%(2/2) |
| 54 |  | Hong Kong | 40%(2/5) |
| 55 |  | Gambia | 33%(1/3) |
| 56 |  | Bosnia and Herzegovina | 50%(1/2) |
| 57 |  | Indonesia | 50%(1/2) |
| 58 |  | Sint Maarten | 33%(1/3) |
| 59 |  | Venezuela | 17%(1/6) |
| 60 |  | Estonia | 50%(1/2) |
| 61 |  | Norway | 50%(1/2) |
| 62 |  | Kuwait | 20%(1/5) |
| 63 |  | Madagascar | 33%(1/3) |
| 64 |  | Bangladesh | 25%(1/4) |
| 65 |  | Guinea | 14%(1/7) |
| 66 |  | New Zealand | 13%(1/8) |
| 67 |  | Vanuatu | 50%(1/2) |
| 68 |  | Romania | 50%(1/2) |
| 69 |  | Nepal | 20%(1/5) |
| 70 |  | Papua New Guinea | 50%(1/2) |
| 71 |  | Central African Republic | 25%(1/4) |
| 72 |  | Singapore | 20%(1/5) |
| 73 |  | Saint Martin | 20%(1/5) |
| 74 |  | Somalia | 100%(1/1) |
| 75 |  | Israel | 50%(1/2) |
| 76 |  | Luxembourg | 25%(1/4) |
| 77 |  | Montenegro | 50%(1/2) |
| 78 |  | Zimbabwe | 20%(1/5) |
| 79 |  | New Caledonia | 100%(1/1) |
| 80 |  | Northern Ireland | 25%(1/4) |
| 81 |  | Burundi | 50%(1/2) |
| 82 |  | Paraguay | 25%(1/4) |
| 83 |  | Haiti | 100%(1/1) |
| 84 |  | Faroe Islands | 50%(1/2) |
| 85 |  | Iceland | 50%(1/2) |
| 86 |  | Ecuador | 25%(1/4) |
| 87 |  | Georgia | 50%(1/2) |
| 88 |  | Scotland | 50%(1/2) |
| 89 |  | England | 50%(1/2) |
| 90 |  | Cape Verde | 20%(1/5) |
| 91 |  | Zanzibar | 33%(1/3) |
| 92 |  | Bolivia | 17%(1/6) |
| 93 |  | Egypt | 17%(1/6) |
| 94 |  | Libya | 100%(1/1) |
| 95 |  | Ghana | 20%(1/5) |
| 96 |  | Kazakhstan | 33%(1/3) |
| 97 |  | Malawi | 50%(1/2) |
| 98 |  | Iran | 20%(1/5) |
| 99 |  | Malta | 50%(1/2) |
| 100 |  | Peru | 17%(1/6) |
| 101 |  | Turkiye | 50%(1/2) |
| 102 |  | India | 50%(1/2) |
| 103 |  | Ivory Coast | 25%(1/4) |
| 104 |  | Barbados | 25%(1/4) |
| 105 |  | Mexico | 13%(1/8) |
| 106 |  | Maldives | 25%(1/4) |
| 107 |  | Ukraine | 50%(1/2) |
| 108 |  | Hungary | 50%(1/2) |
| 109 |  | Cameroon | 50%(1/2) |
| 110 |  | Nigeria | 14%(1/7) |
| 111 |  | Finland | 50%(1/2) |
| 112 |  | Jordan | 11%(1/9) |
| 113 |  | Czechia | 50%(1/2) |
| 114 |  | Guatemala | 50%(1/2) |
| 115 |  | Vietnam | 100%(1/1) |
| 116 |  | Cayman Islands | 50%(1/2) |
| 117 |  | Equatorial Guinea | 25%(1/4) |
| 118 |  | Tajikistan | 50%(1/2) |
| 119 |  | Trinidad and Tobago | 0%(0/4) |
| 120 |  | Gibraltar | 0%(0/2) |
| 121 |  | Latvia | 0%(0/3) |
| 122 |  | Macao | 0%(0/1) |
| 123 |  | Botswana | 0%(0/1) |
| 124 |  | Bhutan | 0%(0/1) |
| 125 |  | Bonaire | 0%(0/3) |
| 126 |  | Solomon Islands | 0%(0/1) |
| 127 |  | Azerbaijan | 0%(0/4) |
| 128 |  | Syria | 0%(0/2) |
| 129 |  | Laos | 0%(0/1) |
| 130 |  | Costa Rica | 0%(0/1) |
| 131 |  | Brunei | 0%(0/1) |
| 132 |  | Puerto Rico | 0%(0/5) |
| 133 |  | Guinea-Bissau | 0%(0/1) |
| 134 |  | Benin | 0%(0/2) |
| 135 |  | Mali | 0%(0/2) |
| 136 |  | Moldova | 0%(0/2) |
| 137 |  | El Salvador | 0%(0/1) |
| 138 |  | Armenia | 0%(0/2) |
| 139 |  | Bahrain | 0%(0/4) |
| 140 |  | Afghanistan | 0%(0/1) |
| 141 |  | North Macedonia | 0%(0/3) |
| 142 |  | Liberia | 0%(0/1) |
| 143 |  | Rwanda | 0%(0/1) |
| 144 |  | Liechtenstein | 0%(0/2) |
| 145 |  | Zambia | 0%(0/6) |
| 146 |  | North Korea | 0%(0/1) |
| 147 |  | Mauritania | 0%(0/5) |
| 148 |  | Timor-Leste | 0%(0/1) |
| 149 |  | Antigua and Barbuda | 0%(0/2) |
| 150 |  | Sudan | 0%(0/3) |
| 151 |  | Chinese Taipei | 0%(0/1) |
| 152 |  | Saint Lucia | 0%(0/2) |
| 153 |  | Chad | 0%(0/4) |
| 154 |  | Curacao | 0%(0/1) |
| 155 |  | Bulgaria | 0%(0/2) |
| 156 |  | Mozambique | 0%(0/5) |
| 157 |  | Wales | 0%(0/2) |
| 158 |  | Qatar | 0%(0/4) |
| 159 |  | Fiji | 0%(0/3) |
| 160 |  | Dominica | 0%(0/4) |
| 161 |  | Cyprus | 0%(0/2) |
| 162 |  | Lesotho | 0%(0/2) |
| 163 |  | Turks and Caicos Islands | 0%(0/1) |
| 164 |  | San Marino | 0%(0/2) |
| 165 |  | Namibia | 0%(0/2) |
| 166 |  | Nicaragua | 0%(0/1) |
| 167 |  | U.S. Virgin Islands | 0%(0/2) |
| 168 |  | Myanmar | 0%(0/1) |
| 169 |  | Cambodia | 0%(0/4) |
| 170 |  | Martinique | 0%(0/2) |
| 171 |  | Andorra | 0%(0/2) |
| 172 |  | Gabon | 0%(0/2) |
| 173 |  | Slovakia | 0%(0/2) |
| 174 |  | Ireland | 0%(0/2) |
| 175 |  | Panama | 0%(0/1) |
| 176 |  | Honduras | 0%(0/1) |
| 177 |  | Palestine | 0%(0/1) |
| 178 |  | Bahamas | 0%(0/2) |
| 179 |  | Lithuania | 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 :
- Comparateur de cotes en temps réel
- Analyses statistiques détaillées
- Prédictions basées sur l'intelligence artificielle
- Alertes de paris personnalisées
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