· UEFA Youth League
Bodø / Glimt U19
ATT
4/10
DEF
2/10
0:5
Borussia Dortmund U19
5/10
ATT
6/10
DEF
Fine
Migliore scelta
GOL DI ENTRAMBE
70%
Risultato esatto92′
Eccellente
1-1
8.7%
11.44
Eccellente
2-1
8.4%
11.94
1-2
7.5%
13.40
2-2
7.1%
13.99
3-1
5.4%
18.69
1-0
5.1%
19.52
2-0
4.9%
20.38
3-2
4.6%
21.90
143%
2.31TOP
X22%
4.59
235%
2.86
1X65%
X257%
1278%
xG — Gol attesi
Bodø / Glimt U19
Bodø / Glimt U19 att.
Borussia Dortmund U19
Borussia Dortmund U19 att.
goal
ogni 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Bodø / Glimt U19
Borussia Dortmund U19
Probable XI4-4-2
Sjong
Jenssen
Solhaug
Antonsen
Brenne
Eliassen
Lukaszka
Hammadou
Berg-Hanssen
Rodahl
Chooly
Impact Player Hot Head
Bodø / Glimt U1912 giocatori
51.3/ 99Medio
Migliori
1Mathias Blix OlsenDEF73
2Tobias SolbakkenDEF64
3Matias Bobo Høgsæt JaitehDEF62
Borussia Dortmund U1920 giocatori
47.4/ 99Medio
Migliori
1Roméo RitterDEF65
2Aaron HeldGK60
3Tom Lasse FaustMID55
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Hindrin ChoolyBodø / Glimt U19
49
2
Isak AlvsenBodø / Glimt U19
45
3
Jakob StrandBodø / Glimt U19
45
4
Ahmad NajdiBorussia Dortmund U19
45
5
Hamzath MohamadouBorussia Dortmund U19
45
Muro
Migliori difensori
1
Mathias Blix OlsenBodø / Glimt U19
94
2
Matias Bobo Høgsæt JaitehBodø / Glimt U19
75
3
Roméo RitterBorussia Dortmund U19
60
4
Johannes JenssenBodø / Glimt U19
58
5
Luca ReggianiBorussia Dortmund U19
56
Controllo
Migliori registi
1
Tom Lasse FaustBorussia Dortmund U19
64
2
Enzo DuarteBorussia Dortmund U19
58
3
Luke FahrenhorstBorussia Dortmund U19
57
4
Erling EliassenBodø / Glimt U19
45
5
Lucas LeirvikBodø / Glimt U19
45
Cattivi ragazzi
Più propensi ai cartellini
1
Tim DegenerBorussia Dortmund U19
38
2
Justin HoyBorussia Dortmund U19
44
3
Isak SjongBodø / Glimt U19
50
4
Martin AndersenBodø / Glimt U19
50
5
Johannes JenssenBodø / Glimt U19
50
Classifica potenza
Più forti in assoluto
1
Mathias Blix OlsenBodø / Glimt U19
73
2
Roméo RitterBorussia Dortmund U19
65
3
Tobias SolbakkenBodø / Glimt U19
64
4
Matias Bobo Høgsæt JaitehBodø / Glimt U19
62
5
Aaron HeldBorussia Dortmund U19
60

Domande frequenti

Our Poisson model calculates the probability of every possible scoreline for Bodø / Glimt U19 vs Borussia Dortmund U19 based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Bodø / Glimt U19 vs Borussia Dortmund U19 match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Bodø / Glimt U19 has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Bodø / Glimt U19 vs Borussia Dortmund U19 without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Bodø / Glimt U19 a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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