South Korea - Colombia: our prediction
30/05/2025•12:00
South Korea
0:1
(0:1)
Finished
Colombia
-
1
-
X
-
2
South Korea vs Colombia Preview — Friendlies
Friendly match between South Korea (home) and Colombia. Colombia shows more consistent attack with 8/10 recent matches where both teams scored. South Korea has 3 wins/10 but a weaker defense.
Our South Korea vs Colombia predictions
Colombia scores +0.5 goals
Colombia scored in 8/10 recent matches (2 goals by Catalina Usme). South Korea conceded in 7/10 matches.
1.3
Confidence
Very high (80 %)
Over 2.5 goals in the match
8/10 South Korea's and 6/10 Colombia's recent matches exceeded 2.5 goals. Weak Korean defense and Colombian attack efficiency (Catalina Usme: 2 recent goals).
1.9
Confidence
High (65 %)
Both teams to score
Colombia had both teams scoring in 8/10 recent matches. South Korea's defense is vulnerable (7 losses/10) but can counter-attack.
1.7
Confidence
Medium (50 %)
Market signals on South Korea vs Colombia
PROPredictions detected by our algorithms and recommended by the market
South Korea vs Colombia Statistics
Win
 |  | |
|---|---|---|
Win | 3 7 | 1 3 6 |
Win Draw Lose | ||
When Favorite
| 1 | 2 | |
|---|---|---|
Did not lose by being a favorite | 100% | 0% |
Victory by being rated between 1.00 and 1.20 | 100% | 0% |
Victory by being rated between 1.21 and 1.50 | 0% | 50% |
Victory by being rated between 1.51 and 1.80 | 0% | 0% |
Victory by being rated between 1.81 and above | 0% | 0% |
Win by being a favorite | 100% | 50% |
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% | 13% |
Win by being an outsider | 0% | 13% |
Clean sheet
| 1 | 2 | |
|---|---|---|
Clean sheet | 30% 70% | 100% |
Yes No | ||
Both teams score
| 1 | 2 | |
|---|---|---|
Both teams score | 10% 90% | 80% 10% |
Yes No | ||
Half-time
| 1 | 2 | |
|---|---|---|
Draw at halftime | 10% 90% | 10% 90% |
Goals Over/Under 0.5 by team | 30% 70% | 50% 50% |
Goals Over/Under 0.5 per game | 90% 10% | 90% 10% |
Goals Over/Under 1.5 by team | 30% 70% | 100% |
Goals Over/Under 1.5 per game | 60% 40% | 20% 80% |
Leading at half-time | 30% 70% | 40% 60% |
More goals Under goals | ||
Half with most goals
| 1 | 2 | |
|---|---|---|
1st half | 50% | 10% |
2nd half | 30% | 50% |
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 | 80% 20% | 60% 40% |
Goals Over/Under 3.5 per game | 50% 50% | 50% 50% |
Goals Over/Under 4.5 per game | 20% 80% | 30% 70% |
More goals Under goals | ||
Goals Over/Under (by team)
| 1 | 2 | |
|---|---|---|
Goals Over/Under 0.5 by team | 40% 60% | 80% 20% |
Goals Over/Under 1.5 by team | 30% 70% | 30% 70% |
Goals Over/Under 2.5 by team | 30% 70% | 10% 90% |
Goals Over/Under 3.5 by team | 10% 90% | 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) | Leicy Santos | ||
100% (1/1) | Wendy Bonilla | ||
100% (1/1) | Linda Caicedo |
Total goals per player
| 1 | 2 | ||
|---|---|---|---|
⚽1 | Wendy Bonilla | ||
⚽1 | Leicy Santos | ||
⚽1 | Catalina Usme | ||
⚽1 | Linda Caicedo |
Over corners (per game)
| 1 | 2 | |
|---|---|---|
Over corners 6.5 | 100% | 75% |
Over corners 7.5 | 67% | 75% |
Over corners 8.5 | 67% | 75% |
Over corners 9.5 | 33% | 50% |
Over corners 10.5 | 33% | 50% |
Over corners 11.5 | 33% | 25% |
Over corners 12.5 | 33% | 25% |
Over corners (per team)
| 1 | 2 | |
|---|---|---|
Over corners 2.5 | 0% | 10% |
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 |  | Poland | 80%(4/5) |
| 13 |  | Uzbekistan | 40%(4/10) |
| 14 |  | Panama | 57%(4/7) |
| 15 |  | Ecuador | 50%(4/8) |
| 16 |  | Malaysia | 57%(4/7) |
| 17 |  | Azerbaijan | 67%(4/6) |
| 18 |  | Hong Kong | 57%(4/7) |
| 19 |  | England | 80%(4/5) |
| 20 |  | Netherlands | 80%(4/5) |
| 21 |  | Switzerland | 60%(3/5) |
| 22 |  | Japan | 33%(3/9) |
| 23 | | South Korea | 33%(3/9) |
| 24 |  | Chinese Taipei | 43%(3/7) |
| 25 | | Barbados | 75%(3/4) |
| 26 |  | Ivory Coast | 75%(3/4) |
| 27 |  | Jamaica | 33%(3/9) |
| 28 | | Nepal | 27%(3/11) |
| 29 |  | Myanmar | 75%(3/4) |
| 30 |  | Senegal | 100%(3/3) |
| 31 |  | China | 33%(3/9) |
| 32 | | Chad | 100%(3/3) |
| 33 |  | Serbia | 60%(3/5) |
| 34 |  | Malawi | 38%(3/8) |
| 35 |  | Zambia | 38%(3/8) |
| 36 |  | Ukraine | 40%(2/5) |
| 37 |  | Saint Vincent and The Grenadines | 50%(2/4) |
| 38 | | Saint Lucia | 50%(2/4) |
| 39 | | Venezuela | 50%(2/4) |
| 40 |  | Dominican Republic | 67%(2/3) |
| 41 |  | New Zealand | 20%(2/10) |
| 42 | | Uruguay | 50%(2/4) |
| 43 |  | Puerto Rico | 100%(2/2) |
| 44 |  | Scotland | 50%(2/4) |
| 45 |  | Belgium | 50%(2/4) |
| 46 |  | Papua New Guinea | 50%(2/4) |
| 47 |  | India | 22%(2/9) |
| 48 |  | Tunisia | 50%(2/4) |
| 49 |  | France | 100%(2/2) |
| 50 |  | Egypt | 100%(2/2) |
| 51 |  | Kazakhstan | 50%(2/4) |
| 52 |  | Hungary | 67%(2/3) |
| 53 |  | Philippines | 40%(2/5) |
| 54 |  | Tanzania | 67%(2/3) |
| 55 |  | Singapore | 33%(2/6) |
| 56 |  | Lebanon | 40%(2/5) |
| 57 |  | Andorra | 100%(2/2) |
| 58 |  | Indonesia | 40%(2/5) |
| 59 |  | Lithuania | 67%(2/3) |
| 60 |  | Norway | 50%(2/4) |
| 61 | | Mozambique | 100%(2/2) |
| 62 | | Aruba | 67%(2/3) |
| 63 |  | Algeria | 50%(2/4) |
| 64 |  | Montenegro | 67%(2/3) |
| 65 |  | Croatia | 50%(2/4) |
| 66 |  | Nigeria | 50%(2/4) |
| 67 |  | Chile | 50%(2/4) |
| 68 |  | Latvia | 50%(2/4) |
| 69 |  | Argentina | 33%(2/6) |
| 70 |  | Iran | 67%(2/3) |
| 71 |  | U.S. Virgin Islands | 100%(2/2) |
| 72 | | Colombia | 17%(1/6) |
| 73 |  | Turkiye | 50%(1/2) |
| 74 |  | Zimbabwe | 50%(1/2) |
| 75 | | Honduras | 50%(1/2) |
| 76 | | Paraguay | 25%(1/4) |
| 77 |  | North Korea | 50%(1/2) |
| 78 |  | Greece | 33%(1/3) |
| 79 | | El Salvador | 50%(1/2) |
| 80 |  | Malta | 25%(1/4) |
| 81 | | Fiji | 33%(1/3) |
| 82 | | Peru | 20%(1/5) |
| 83 |  | Cambodia | 100%(1/1) |
| 84 |  | Georgia | 50%(1/2) |
| 85 |  | Wales | 25%(1/4) |
| 86 |  | Luxembourg | 33%(1/3) |
| 87 |  | Kosovo | 50%(1/2) |
| 88 |  | Portugal | 20%(1/5) |
| 89 |  | St. Kitts and Nevis | 50%(1/2) |
| 90 |  | Sweden | 100%(1/1) |
| 91 |  | Suriname | 33%(1/3) |
| 92 |  | Ireland | 33%(1/3) |
| 93 |  | Vanuatu | 50%(1/2) |
| 94 |  | Cyprus | 50%(1/2) |
| 95 |  | Cameroon | 33%(1/3) |
| 96 |  | Ghana | 14%(1/7) |
| 97 | | Sierra Leone | 100%(1/1) |
| 98 | | Ethiopia | 100%(1/1) |
| 99 |  | Spain | 100%(1/1) |
| 100 | | Afghanistan | 25%(1/4) |
| 101 |  | Romania | 33%(1/3) |
| 102 |  | Estonia | 17%(1/6) |
| 103 |  | Iceland | 100%(1/1) |
| 104 |  | Cuba | 50%(1/2) |
| 105 |  | Dominica | 0%(0/4) |
| 106 |  | Lesotho | 0%(0/5) |
| 107 |  | Denmark | 0%(0/1) |
| 108 | | Sri Lanka | 0%(0/1) |
| 109 |  | Finland | 0%(0/3) |
| 110 |  | North Macedonia | 0%(0/2) |
| 111 |  | Czechia | 0%(0/3) |
| 112 |  | Costa Rica | 0%(0/6) |
| 113 |  | Benin | 0%(0/1) |
| 114 |  | Slovakia | 0%(0/2) |
| 115 |  | Guatemala | 0%(0/4) |
| 116 |  | Kenya | 0%(0/5) |
| 117 |  | Bosnia and Herzegovina | 0%(0/2) |
| 118 | | Maldives | 0%(0/1) |
| 119 |  | Slovenia | 0%(0/4) |
| 120 |  | Moldova | 0%(0/3) |
| 121 | | Seychelles | 0%(0/2) |
| 122 | | Kyrgyzstan | 0%(0/5) |
| 123 |  | Italy | 0%(0/4) |
| 124 |  | Liechtenstein | 0%(0/1) |
| 125 | | Palestine | 0%(0/1) |
| 126 | | Guam | 0%(0/1) |
| 127 | | Tajikistan | 0%(0/2) |
| 128 |  | Anguilla | 0%(0/2) |
| 129 |  | Gibraltar | 0%(0/2) |
| 130 |  | UAE | 0%(0/7) |
| 131 |  | Eswatini | 0%(0/1) |
| 132 | | DR Congo | 0%(0/3) |
| 133 |  | Cayman Islands | 0%(0/1) |
| 134 |  | Haiti | 0%(0/5) |
| 135 |  | Faroe Islands | 0%(0/2) |
| 136 |  | Bhutan | 0%(0/2) |
| 137 |  | Bahrain | 0%(0/1) |
| 138 |  | Solomon Islands | 0%(0/1) |
| 139 |  | Austria | 0%(0/2) |
| 140 |  | Liberia | 0%(0/1) |
| 141 |  | Djibouti | 0%(0/1) |
| 142 |  | Jordan | 0%(0/7) |
| 143 |  | Trinidad and Tobago | 0%(0/1) |
| 144 |  | Bolivia | 0%(0/3) |
| 145 | | Botswana | 0%(0/2) |
| 146 |  | Libya | 0%(0/4) |
| 147 |  | British Virgin Islands | 0%(0/2) |
| 148 |  | Comoros | 0%(0/1) |
| 149 |  | Burkina Faso | 0%(0/1) |
| 150 |  | Bangladesh | 0%(0/6) |
| 151 |  | Mali | 0%(0/1) |
| 152 |  | Albania | 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
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