· Europa Conference League
Monaco
ATT
6/10
DEF
6/10
3:0
SC Freiburg
4/10
ATT
5/10
DEF
Bitti
En iyi tahmin
Ev sahibi kazanır
56%
Doğru skor93′
Mükemmel
1-0
11.3%
10.00
Mükemmel
1-1
11%
7.50
2-0
10.1%
12.00
2-1
9.8%
9.00
0-0
6.3%
15.00
0-1
6.2%
13.00
3-0
6%
19.00
3-1
5.9%
15.00
156%
1.77TOP
X23%
4.32
220%
4.89
1X79%
X243%
1276%
xG — Beklenen goller
Monaco
Monaco bekl.
SC Freiburg
SC Freiburg bekl.
goal
15 dk'da bir
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Monaco
SC Freiburg
Confirmed XI4-5-1
1
Hradecky
2
Vanderson
72
Sané
4
Teze
13
Mawissa
8
Camara
37
Diop
28
Coulibaly
10
Golovin
7
Detourbet
29
Brunner
Impact Player Hot Head
Monaco32 oyuncu
53.4/ 99Orta
En İyiler
1Paris BrunnerFWD91
2Paul PogbaMID86
3Aladji BambaMID80
SC Freiburg23 oyuncu
45.7/ 99Orta
En İyiler
1Igor MatanovicFWD77
2Lukas KüblerDEF65
3Yuito SuzukiFWD63
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Ansu FatiMonaco
90
2
Paris BrunnerMonaco
90
3
Lucas MichalMonaco
85
4
Igor MatanovicSC Freiburg
69
5
Folarin BalogunMonaco
67
Duvar
En iyi savunmacılar
1
Mohammed SalisuMonaco
89
2
Sadibou Sané Monaco
70
3
Anthony JungSC Freiburg
65
4
Eric DierMonaco
62
5
J. TezeMonaco
54
Kontrol
En iyi oyun kurucular
1
Paul PogbaMonaco
99
2
Lamine CamaraMonaco
80
3
Aladji BambaMonaco
69
4
Ilane TouréMonaco
64
5
Anis SoubeirMonaco
55
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Christian MawissaMonaco
1
2
J. TezeMonaco
1
3
Matthis AblineMonaco
1
4
Cyriaque IriéSC Freiburg
1
5
NazinhoMonaco
3
Güç sıralaması
Genel olarak en güçlüler
1
Paris BrunnerMonaco
91
2
Paul PogbaMonaco
86
3
Aladji BambaMonaco
80
4
Igor MatanovicSC Freiburg
77
5
Ansu FatiMonaco
72

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Monaco vs SC Freiburg 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 Monaco vs SC Freiburg 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 Monaco 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 Monaco vs SC Freiburg 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 Monaco 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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