North & Central America football continues to grow in competitiveness and talent. The Concacaf Nations League continues to attract interest for its competitive balance and structure. We focus on relevant data points to help you understand how teams are performing.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Bermuda Barbados 2026-10-06 |
LLL
WDW |
2 DNB | 1:2 |
96.56%
|
| Grenada Bonaire 2026-10-06 |
WLL
LL |
Handicap 2 (0:2) | 1:4 |
58.26%
|
| Group B | ||||
| Guatemala Suriname 2026-10-06 |
DWL
DWW |
1X | 1:0 |
76.25%
|
| Honduras Jamaica 2026-10-06 |
LWL
WLW |
X2 | 1:1 |
53.75%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Barbados Bermuda 2026-10-03 |
DW
LL |
1 DNB | 4:1 |
92.41%
|
| Dominican Republic Haiti 2026-10-02 |
WW
WW |
X2 | 1:4 |
73.11%
|
| Group B | ||||
| Martinique Honduras 2026-10-03 |
LL
WL |
2 DNB | 2:1 |
98.2%
|
| El Salvador Jamaica 2026-10-03 |
LW
LW |
X2 | 0:2 |
77.73%
|
| Group A | ||||
| Cayman Islands Puerto Rico 2026-10-02 |
LD
WL |
2 | 0:3 |
97.07%
|
Our methodology
Our system generates Concacaf Nations League predictions through data analysis and performance tracking. Models like Linear Regression are used to identify relationships within performance data. Team form, scoring efficiency, and defensive organization are key inputs. This provides a structured and objective view of each matchup.
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