· Super Lig
Galatasaray İstanbul
ATT
9/10
DEF
6/10
vs
Amed SK
6/10
ATT
5/10
DEF
Planlandı· Sat 7 Nov · 16:00
En iyi tahmin
Ev sahibi kazanır
68%
Doğru skor
Mükemmel
2-0
11%
8.50
Mükemmel
2-1
9.8%
8.50
1-0
9.8%
10.00
1-1
8.7%
9.50
3-0
8.2%
11.00
3-1
7.3%
11.00
4-0
4.6%
17.00
0-0
4.4%
21.00
168%
1.44TOP
X19%
4.33
213%
6.25
1X87%
X232%
1281%

Kombine

3 seçim

Galatasaray’s 2.45 xG and explosive +76% attack point to sustained scoring pressure, while Amed’s defense is 5% weaker than average. The first-half case is especially strong: Galatasaray project 1.55 HT xG against Amed’s 0.19. That imbalance makes an early lead, a home win and a match clearing 2.5 goals a compelling combination.

1Match WinnerGalatasaray SK
2Match GoalsOver 2.5
3First Half WinnerGalatasaray SK
Confirmed XI4-5-1
1
Çakır
7
Sallai
6
Sánchez
4
Jakobs
17
Elmalı
34
Torreira
99
Lemina
11
Akgün
83
Batrakov
27
Leão
53
Yılmaz
Impact Player Hot Head
Galatasaray İstanbul41 oyuncu
55.1/ 99Güçlü
En İyiler
1Ahmed KutucuFWD87
2Lucas TorreiraMID77
3Yáser AsprillaFWD74
Amed SK24 oyuncu
51.0/ 99Orta
En İyiler
1Rayan LutinMID75
2Gift OrbanFWD74
3Gökhan GülMID72
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Victor OsimhenGalatasaray İstanbul
99
2
Gift OrbanAmed SK
92
3
Mauro Icardi Galatasaray İstanbul
90
4
Ahmed KutucuGalatasaray İstanbul
87
5
Yáser AsprillaGalatasaray İstanbul
81
Duvar
En iyi savunmacılar
1
Metehan BaltacıGalatasaray İstanbul
83
2
Arda ÜnyayGalatasaray İstanbul
68
3
Davinson SánchezGalatasaray İstanbul
65
4
Mehmet YeşilAmed SK
63
5
Amadou Cissé Amed SK
61
Kontrol
En iyi oyun kurucular
1
Berkan KutluGalatasaray İstanbul
75
2
Kerem DemirbayGalatasaray İstanbul
74
3
İlkay GündoğanGalatasaray İstanbul
73
4
Gabriel SaraGalatasaray İstanbul
70
5
Lucas TorreiraGalatasaray İstanbul
64
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Kazımcan KarataşGalatasaray İstanbul
1
2
Berkan KutluGalatasaray İstanbul
1
3
Halil DervişoğluGalatasaray İstanbul
1
4
Rafael LeãoGalatasaray İstanbul
1
5
Victor OsimhenGalatasaray İstanbul
1
Güç sıralaması
Genel olarak en güçlüler
1
Ahmed KutucuGalatasaray İstanbul
87
2
Lucas TorreiraGalatasaray İstanbul
77
3
Rayan LutinAmed SK
75
4
Yáser AsprillaGalatasaray İstanbul
74
5
Gift OrbanAmed SK
74

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Galatasaray İstanbul vs Amed SK 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 Galatasaray İstanbul vs Amed SK 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 Galatasaray İstanbul 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 Galatasaray İstanbul vs Amed SK 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 Galatasaray İstanbul 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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