Europe remains a strong environment for unpredictable and competitive football. At the core of the system, the Euro U19 Women defines the standard of domestic football. We focus on measurable performance indicators to provide clearer match insights. Each game contributes to a broader understanding of team performance.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Group 2 | ||||
| Romania U19 W Belgium U19 W 2026-04-18 |
LL
DL |
2 | 0:1 |
95.26%
|
| Group 7 | ||||
| Hungary U19 W Northern Ireland U19 W 2026-04-18 |
LL
LL |
X2 | 1:1 |
88.08%
|
| Portugal U19 W Spain U19 W 2026-04-18 |
WW
WW |
2 | 0:0 |
88.08%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Azerbaijan U19 W Georgia U19 W 2026-04-17 |
LL
LL |
2 | 1:4 |
62.25%
|
| Czech Republic U19 W Croatia U19 W 2026-04-17 |
WW
WW |
1X | 0:1 |
73.11%
|
| Group 5 | ||||
| Sweden U19 W Italy U19 W 2026-04-17 |
WW
LW |
1X | 0:0 |
80.36%
|
| Ukraine U19 W Netherlands U19 W 2026-04-17 |
LL
WL |
2 DNB | 0:2 |
98.9%
|
| Group 4 | ||||
| North Macedonia U19 W Austria U19 W 2026-04-16 |
LL
WL |
2 | 0:5 |
99.91%
|
| Scotland U19 W Norway U19 W 2026-04-16 |
WW
LW |
1 | 1:2 |
86.99%
|
Our methodology
Our approach to Euro U19 Women predictions relies on statistical models and performance data. Models like Linear Regression are used to identify relationships within performance data. We evaluate performance using a combination of offensive and defensive data. This provides a structured and objective view of each matchup.
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