Mexico - Colombia: our prediction
28/06/2025•04:00
Mexico
0:0
(0:0)
Finished
Colombia
-
1
-
X
-
2
Mexico vs Colombia Preview — Friendlies
Friendly match between Mexico (home) and Colombia. Mexico shows strong offensive performance (9/10 matches with +1.5 goals) but vulnerable defense (40% clean sheet). Colombia demonstrates strong away scoring ability (80% matches with goals). No injury information available.
Our Mexico vs Colombia predictions
Over 1.5 goals
Mexico achieved +1.5 goals in 90% of their last 10 home matches. Colombia recorded +1.5 goals in 90% of away matches. Offensive trends from both teams strongly support this scenario.
1.25
Confidence
Very high
Mexico win
Mexico won 70% of their last 10 home matches, with consistent scoring (1.8 goals/match average). Colombia won only 20% of away games, showing defensive gaps (just 10% clean sheet).
2.32
Confidence
High
Under 3.5 goals
5 of Mexico's last 10 home matches and 6 of Colombia's 10 away games ended with under 3.5 goals. Despite both teams' offensive strengths, history suggests a realistic goal ceiling.
1.3
Confidence
Medium
Market signals on Mexico vs Colombia
PROPredictions detected by our algorithms and recommended by the market
Mexico vs Colombia Statistics
Win
 |  | |
|---|---|---|
Win | 7 2 1 | 2 3 5 |
Win Draw Lose | ||
When Favorite
| 1 | 2 | |
|---|---|---|
Did not lose by being a favorite | 100% | 67% |
Victory by being rated between 1.00 and 1.20 | 60% | 0% |
Victory by being rated between 1.21 and 1.50 | 100% | 0% |
Victory by being rated between 1.51 and 1.80 | 0% | 0% |
Victory by being rated between 1.81 and above | 100% | 50% |
Win by being a favorite | 75% | 33% |
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% | 14% |
Win by being an outsider | 0% | 14% |
Clean sheet
| 1 | 2 | |
|---|---|---|
Clean sheet | 60% 40% | 10% 90% |
Yes No | ||
Both teams score
| 1 | 2 | |
|---|---|---|
Both teams score | 30% 70% | 80% 30% |
Yes No | ||
Half-time
| 1 | 2 | |
|---|---|---|
Draw at halftime | 30% 70% | 100% |
Goals Over/Under 0.5 by team | 80% 20% | 50% 50% |
Goals Over/Under 0.5 per game | 80% 20% | 100% |
Goals Over/Under 1.5 by team | 50% 50% | 100% |
Goals Over/Under 1.5 per game | 60% 40% | 20% 80% |
Leading at half-time | 70% 30% | 40% 60% |
More goals Under goals | ||
Half with most goals
| 1 | 2 | |
|---|---|---|
1st half | 50% | 20% |
2nd half | 40% | 30% |
Goals Over/Under
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 per game | 100% | 100% |
Goals Over/Under 1.5 per game | 90% 10% | 90% 10% |
Goals Over/Under 2.5 per game | 60% 40% | 50% 50% |
Goals Over/Under 3.5 per game | 50% 50% | 40% 60% |
Goals Over/Under 4.5 per game | 10% 90% | 30% 70% |
More goals Under goals | ||
Goals Over/Under (by team)
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 by team | 90% 10% | 90% 10% |
Goals Over/Under 1.5 by team | 70% 30% | 20% 80% |
Goals Over/Under 2.5 by team | 50% 50% | 10% 90% |
Goals Over/Under 3.5 by team | 40% 60% | 10% 90% |
Goals Over/Under 4.5 by team | 100% | 10% 90% |
More goals Under goals | ||
% of matches in which a player has scored
| 1 | 2 | ||
|---|---|---|---|
100% (1/1) | Wendy Bonilla | ||
100% (1/1) | Linda Caicedo | ||
100% (1/1) | Leicy Santos |
Total goals per player
| 1 | 2 | ||
|---|---|---|---|
⚽1 | Catalina Usme | ||
⚽1 | Linda Caicedo | ||
⚽1 | Wendy Bonilla | ||
⚽1 | Leicy Santos |
Over corners (per game)
| 1 | 2 | |
|---|---|---|
Over corners 6.5 | 0% | 75% |
Over corners 7.5 | 0% | 75% |
Over corners 8.5 | 0% | 75% |
Over corners 9.5 | 0% | 50% |
Over corners 10.5 | 0% | 50% |
Over corners 11.5 | 0% | 25% |
Over corners 12.5 | 0% | 25% |
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% |
Ranking by bet
| # | Team | Success | |
|---|---|---|---|
| 1 |  | USA | 77%(10/13) |
| 2 | | Mexico | 75%(9/12) |
| 3 |  | Australia | 75%(9/12) |
| 4 |  | South Africa | 100%(7/7) |
| 5 |  | Canada | 46%(6/13) |
| 6 |  | Russia | 75%(6/8) |
| 7 |  | Brazil | 55%(6/11) |
| 8 |  | Saudi Arabia | 71%(5/7) |
| 9 |  | Morocco | 50%(5/10) |
| 10 |  | Belarus | 83%(5/6) |
| 11 |  | Thailand | 56%(5/9) |
| 12 |  | Ecuador | 50%(4/8) |
| 13 |  | Malaysia | 57%(4/7) |
| 14 |  | Azerbaijan | 67%(4/6) |
| 15 |  | Hong Kong | 57%(4/7) |
| 16 |  | England | 80%(4/5) |
| 17 |  | Netherlands | 80%(4/5) |
| 18 |  | Poland | 80%(4/5) |
| 19 |  | Uzbekistan | 40%(4/10) |
| 20 |  | Panama | 57%(4/7) |
| 21 |  | Barbados | 75%(3/4) |
| 22 |  | Ivory Coast | 75%(3/4) |
| 23 |  | Jamaica | 33%(3/9) |
| 24 | | Nepal | 27%(3/11) |
| 25 |  | Myanmar | 75%(3/4) |
| 26 |  | Senegal | 100%(3/3) |
| 27 |  | China | 33%(3/9) |
| 28 | | Chad | 100%(3/3) |
| 29 |  | Serbia | 60%(3/5) |
| 30 |  | Malawi | 38%(3/8) |
| 31 |  | Zambia | 38%(3/8) |
| 32 |  | Switzerland | 60%(3/5) |
| 33 |  | South Korea | 33%(3/9) |
| 34 |  | Japan | 33%(3/9) |
| 35 | | Chinese Taipei | 43%(3/7) |
| 36 | | Uruguay | 50%(2/4) |
| 37 |  | Puerto Rico | 100%(2/2) |
| 38 |  | New Zealand | 20%(2/10) |
| 39 |  | Scotland | 50%(2/4) |
| 40 |  | Belgium | 50%(2/4) |
| 41 |  | Papua New Guinea | 50%(2/4) |
| 42 |  | Tunisia | 50%(2/4) |
| 43 |  | France | 100%(2/2) |
| 44 |  | India | 22%(2/9) |
| 45 |  | Egypt | 100%(2/2) |
| 46 |  | Kazakhstan | 50%(2/4) |
| 47 |  | Hungary | 67%(2/3) |
| 48 |  | Philippines | 40%(2/5) |
| 49 |  | Tanzania | 67%(2/3) |
| 50 |  | Singapore | 33%(2/6) |
| 51 |  | Lebanon | 40%(2/5) |
| 52 |  | Andorra | 100%(2/2) |
| 53 |  | Indonesia | 40%(2/5) |
| 54 |  | Lithuania | 67%(2/3) |
| 55 |  | Norway | 50%(2/4) |
| 56 | | Mozambique | 100%(2/2) |
| 57 |  | Algeria | 50%(2/4) |
| 58 |  | Montenegro | 67%(2/3) |
| 59 | | Aruba | 67%(2/3) |
| 60 |  | Croatia | 50%(2/4) |
| 61 |  | Nigeria | 50%(2/4) |
| 62 |  | Chile | 50%(2/4) |
| 63 |  | Latvia | 50%(2/4) |
| 64 |  | Argentina | 33%(2/6) |
| 65 |  | Iran | 67%(2/3) |
| 66 |  | U.S. Virgin Islands | 100%(2/2) |
| 67 |  | Ukraine | 40%(2/5) |
| 68 |  | Saint Vincent and The Grenadines | 50%(2/4) |
| 69 | | Saint Lucia | 50%(2/4) |
| 70 | | Venezuela | 50%(2/4) |
| 71 |  | Dominican Republic | 67%(2/3) |
| 72 |  | Greece | 33%(1/3) |
| 73 | | El Salvador | 50%(1/2) |
| 74 |  | Malta | 25%(1/4) |
| 75 | | Fiji | 33%(1/3) |
| 76 | | Peru | 20%(1/5) |
| 77 |  | Cambodia | 100%(1/1) |
| 78 |  | Georgia | 50%(1/2) |
| 79 |  | Wales | 25%(1/4) |
| 80 |  | Luxembourg | 33%(1/3) |
| 81 |  | Kosovo | 50%(1/2) |
| 82 |  | Portugal | 20%(1/5) |
| 83 |  | St. Kitts and Nevis | 50%(1/2) |
| 84 |  | Sweden | 100%(1/1) |
| 85 |  | Ireland | 33%(1/3) |
| 86 |  | Suriname | 33%(1/3) |
| 87 |  | Vanuatu | 50%(1/2) |
| 88 |  | Cyprus | 50%(1/2) |
| 89 |  | Cameroon | 33%(1/3) |
| 90 |  | Ghana | 14%(1/7) |
| 91 | | Ethiopia | 100%(1/1) |
| 92 |  | Spain | 100%(1/1) |
| 93 | | Afghanistan | 25%(1/4) |
| 94 |  | Romania | 33%(1/3) |
| 95 |  | Estonia | 17%(1/6) |
| 96 | | Sierra Leone | 100%(1/1) |
| 97 |  | Iceland | 100%(1/1) |
| 98 |  | Cuba | 50%(1/2) |
| 99 |  | Turkiye | 50%(1/2) |
| 100 | | Colombia | 17%(1/6) |
| 101 |  | Zimbabwe | 50%(1/2) |
| 102 | | Honduras | 50%(1/2) |
| 103 | | Paraguay | 25%(1/4) |
| 104 |  | North Korea | 50%(1/2) |
| 105 |  | Kenya | 0%(0/5) |
| 106 |  | Bosnia and Herzegovina | 0%(0/2) |
| 107 |  | Slovenia | 0%(0/4) |
| 108 |  | Moldova | 0%(0/3) |
| 109 | | Seychelles | 0%(0/2) |
| 110 | | Maldives | 0%(0/1) |
| 111 | | Kyrgyzstan | 0%(0/5) |
| 112 |  | Italy | 0%(0/4) |
| 113 |  | Liechtenstein | 0%(0/1) |
| 114 | | Palestine | 0%(0/1) |
| 115 | | Guam | 0%(0/1) |
| 116 | | Tajikistan | 0%(0/2) |
| 117 |  | Anguilla | 0%(0/2) |
| 118 |  | Gibraltar | 0%(0/2) |
| 119 |  | UAE | 0%(0/7) |
| 120 |  | Eswatini | 0%(0/1) |
| 121 | | DR Congo | 0%(0/3) |
| 122 |  | Cayman Islands | 0%(0/1) |
| 123 |  | Haiti | 0%(0/5) |
| 124 |  | Faroe Islands | 0%(0/2) |
| 125 |  | Bhutan | 0%(0/2) |
| 126 |  | Solomon Islands | 0%(0/1) |
| 127 |  | Austria | 0%(0/2) |
| 128 |  | Bahrain | 0%(0/1) |
| 129 |  | Djibouti | 0%(0/1) |
| 130 |  | Jordan | 0%(0/7) |
| 131 |  | Trinidad and Tobago | 0%(0/1) |
| 132 |  | Bolivia | 0%(0/3) |
| 133 |  | Liberia | 0%(0/1) |
| 134 | | Botswana | 0%(0/2) |
| 135 |  | Libya | 0%(0/4) |
| 136 |  | British Virgin Islands | 0%(0/2) |
| 137 |  | Comoros | 0%(0/1) |
| 138 |  | Burkina Faso | 0%(0/1) |
| 139 |  | Bangladesh | 0%(0/6) |
| 140 |  | Mali | 0%(0/1) |
| 141 |  | Albania | 0%(0/2) |
| 142 |  | Dominica | 0%(0/4) |
| 143 |  | Lesotho | 0%(0/5) |
| 144 |  | Denmark | 0%(0/1) |
| 145 | | Sri Lanka | 0%(0/1) |
| 146 |  | Finland | 0%(0/3) |
| 147 |  | North Macedonia | 0%(0/2) |
| 148 |  | Czechia | 0%(0/3) |
| 149 |  | Benin | 0%(0/1) |
| 150 |  | Slovakia | 0%(0/2) |
| 151 |  | Guatemala | 0%(0/4) |
| 152 |  | Costa Rica | 0%(0/6) |
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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