Feyenoord’s potent attack and territorial pressure should force chances, while Heerenveen’s home threat offers a credible response. With both sides capable of contributing, this contest appears primed to clear the goals line amid mounting momentum.
Match GoalsOver 2.5
En iyi tahmin
KG VAR
63%
Doğru skor
Mükemmel
1-1
10.6%
9.00
Mükemmel
2-1
8.8%
15.00
1-2
7.9%
9.00
1-0
7%
21.00
2-2
6.6%
11.00
0-1
6.4%
13.00
2-0
5.8%
29.00
0-2
4.8%
12.00
142%
4.50TOP
X24%
4.20
235%
1.70
1X66%
X259%
1277%
Kombine
3 seçim
Feyenoord’s title-chasing attack should bring relentless pressure, while Heerenveen’s home threat gives them a route to answer back. With both sides capable of finding the net, an open, high-scoring contest looks likely—and Feyenoord’s corner pressure should help push the game beyond the combined corner line.
1Both Teams to ScoreYes
2Match GoalsOver 3.5
3Corners Over/UnderOver 8.5
Confirmed XI4-5-1
1
Klaverboer
45
Braude
4
Kersten
3
Willemsen
19
Zagaritis
16
Linday
8
Courtens
20
Trenskow
14
Smans
7
Rivera
9
Vente
Impact Player Hot Head
SC Heerenveen25 oyuncu
56.4/ 99Güçlü
En İyiler
1Eser GürbüzFWD94
2Joris van OvereemMID93
3Darling BladiDEF82
Feyenoord Rotterdam38 oyuncu
53.5/ 99Orta
En İyiler
1Ramiz ZerroukiMID97
2Casper TengstedtFWD90
3Nacho FerriFWD86
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Eser GürbüzSC Heerenveen
99
2
Casper TengstedtFeyenoord Rotterdam
99
3
Nacho FerriFeyenoord Rotterdam
92
4
Shaqueel van PersieFeyenoord Rotterdam
92
5
Marko FarjiSC Heerenveen
81
Duvar
En iyi savunmacılar
1
Darling BladiSC Heerenveen
99
2
Hristiyan PetrovSC Heerenveen
88
3
Jeremiah St. JusteFeyenoord Rotterdam
73
4
Nikolai HoplandSC Heerenveen
71
5
Sam KerstenSC Heerenveen
67
Kontrol
En iyi oyun kurucular
1
Joris van OvereemSC Heerenveen
99
2
Ramiz ZerroukiFeyenoord Rotterdam
97
3
Luciano ValenteFeyenoord Rotterdam
80
4
Oussama TarghallineFeyenoord Rotterdam
78
5
Charles VanhoutteFeyenoord Rotterdam
70
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Marcus LindaySC Heerenveen
1
Agresiflik 65
2
Javi LópezFeyenoord Rotterdam
1
Agresiflik 40
3
Charles VanhoutteFeyenoord Rotterdam
1
Agresiflik 62
4
Luciano ValenteFeyenoord Rotterdam
1
Agresiflik 43
5
Oussama TarghallineFeyenoord Rotterdam
1
Agresiflik 66
Güç sıralaması
Genel olarak en güçlüler
1
Ramiz ZerroukiFeyenoord Rotterdam
97
2
Eser GürbüzSC Heerenveen
94
3
Joris van OvereemSC Heerenveen
93
4
Casper TengstedtFeyenoord Rotterdam
90
5
Nacho FerriFeyenoord Rotterdam
86
Sıkça Sorulan Sorular
Our Poisson model calculates the probability of every possible scoreline for SC Heerenveen vs Feyenoord Rotterdam 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 SC Heerenveen vs Feyenoord Rotterdam 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 SC Heerenveen 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 SC Heerenveen vs Feyenoord Rotterdam 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 SC Heerenveen 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.