· UEFA U21 Championship Qualification
Sweden U21
ATT
4/10
DEF
2/10
vs
FYR Macedonia U21
5/10
ATT
4/10
DEF
Programmata· Mon 5 Oct · 16:30
Migliore scelta
GOL DI ENTRAMBE
60%
Risultato esatto
Eccellente
1-1
11.1%
9.03
Eccellente
2-1
9%
11.16
1-0
7.9%
12.65
1-2
7.8%
12.89
0-1
6.8%
14.62
2-0
6.4%
15.63
2-2
6.3%
15.93
0-0
4.9%
20.48
143%
2.34TOP
X24%
4.16
233%
3.01
1X67%
X257%
1276%
Probable XI4-4-2
Picornell
Kurtulus
Makolli
Antwi
Skoglund
Herdonsson
Skogmar
Boudri
Eriksson
Njie
Fatah
Impact Player Hot Head
Formazioni non ancora annunciate — analisi completa della rosa sotto
Sweden U2124 giocatori
48.0/ 99Medio
Migliori
1Elison MakolliDEF70
2Kazper KarlssonMID69
3Lukas BjörklundMID66
FYR Macedonia U2120 giocatori
40.5/ 99Medio
Migliori
1Ilija MaslarovMID61
2Ljupce DjekovGK57
3Anes MeljichiDEF49
Sweden U2155
PlayerValutazioneImpattoAggressivitàDisciplina
Elison Makolli70578261
Kazper Karlsson69746256
Lukas Björklund66746848
Peter Amoran65656356
Ludwig Malachowski Thorell53652850
Elis Bishesari51522350
Momodou Lamin Sonko51475856
Nils Zätterström49642546
Williot Swedberg49455756
Genesis Antwi48425156
Hampus Skoglund48386550
Noah Tolf47494050
Andre Picornell46454550
FYR Macedonia U2160
PlayerValutazioneImpattoAggressivitàDisciplina
Ilija Maslarov61557356
Ljupce Djekov57589950
Anes Meljichi49632350
Muhamed Elmas46454550
Sejdo Durakov45454550
Andrija Dimeski41393950
Adrian Zendelovski41393950
Andrej Arizankoski41393950
Shaban Zenku41393950
Teodor Nikolovski41393950
Mateo Sofijanoski40393450
Martin Gjorgievski38303656
Vasko Vasilev37343450
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Momodou Lamin SonkoSweden U21
47
2
G. RappSweden U21
45
3
Marcus RaffertySweden U21
45
4
Williot SwedbergSweden U21
45
5
Dimitar TrajkovFYR Macedonia U21
36
Muro
Migliori difensori
1
Peter AmoranSweden U21
65
2
Nils ZätterströmSweden U21
64
3
Anes MeljichiFYR Macedonia U21
63
4
Elison MakolliSweden U21
57
5
Matteo Pérez VinlöfSweden U21
53
Controllo
Migliori registi
1
Kazper KarlssonSweden U21
74
2
Lukas BjörklundSweden U21
74
3
Ludwig Malachowski ThorellSweden U21
65
4
Ilija MaslarovFYR Macedonia U21
55
5
Amin BoudriSweden U21
47
Cattivi ragazzi
Più propensi ai cartellini
1
Amin BoudriSweden U21
27
2
Bleon KurtulusSweden U21
37
3
Nils ZätterströmSweden U21
46
4
Matej AngelovFYR Macedonia U21
46
5
Lukas BjörklundSweden U21
48
Classifica potenza
Più forti in assoluto
1
Elison MakolliSweden U21
70
2
Kazper KarlssonSweden U21
69
3
Lukas BjörklundSweden U21
66
4
Peter AmoranSweden U21
65
5
Ilija MaslarovFYR Macedonia U21
61

Domande frequenti

Our Poisson model calculates the probability of every possible scoreline for Sweden U21 vs FYR Macedonia U21 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 Sweden U21 vs FYR Macedonia U21 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 Sweden U21 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 Sweden U21 vs FYR Macedonia U21 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 Sweden U21 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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