Utrecht’s territorial edge and steady chance creation should expose a PEC Zwolle defence that looks dangerously brittle; even muted attacks can contribute, making an open, high-tempo contest and three-goal threshold the most compelling script.
Match GoalsOver 2.5
Best Pick
Over 2.5
61%
Correct Score
Top
1-1
10%
8.00
Top
2-1
9.8%
8.50
1-0
8.2%
11.00
2-0
8.1%
10.00
3-1
6.4%
12.00
1-2
6%
15.00
2-2
5.9%
12.00
3-0
5.3%
15.00
155%
1.67TOP
X22%
4.10
223%
4.75
1X77%
X245%
1278%
Combined Bet Builder
3 legs
Utrecht should keep Zwolle under constant pressure, and that fragile defence looks ripe to crack; the visitors have enough threat to answer and keep both teams to score firmly in play. With chances building at both ends, over three and a half goals looks reachable, while Utrecht’s probing and Zwolle’s need to respond should bring over eight and a half corners.
1Both Teams to ScoreYes
2Match GoalsOver 3.5
3Corners Over/UnderOver 8.5
Confirmed XI5-5-0
22
Padt
2
Horemans
3
Didden
5
Panagiotou
23
Vesterlund
92
Zagré
8
Overeem
38
Agougil
10
Cathline
20
Wit
11
Alarcón
Impact Player Hot Head
Utrecht36 players
52.1/ 99Average
Top Rated
1Joris van OvereemMID90
2Adrian BlakeFWD81
3Miliano JonathansFWD80
PEC Zwolle24 players
50.3/ 99Average
Top Rated
1Olivier AertssenDEF77
2Simon GravesDEF75
3Tijs VelthuisDEF65
Player Rankings
Snipers
Top goal threats
1
Miliano JonathansUtrecht
99
2
Adrian BlakeUtrecht
93
3
Ángel AlarcónUtrecht
63
4
Miguel RodríguezUtrecht
59
5
Nordin AmrabatUtrecht
58
Wall
Top defenders
1
Simon GravesPEC Zwolle
86
2
Matisse DiddenUtrecht
78
3
Jakov MedicUtrecht
64
4
Tijs VelthuisPEC Zwolle
63
5
Olivier AertssenPEC Zwolle
62
Control
Top playmakers
1
Joris van OvereemUtrecht
99
2
T. SommerPEC Zwolle
62
3
Davy van den BergUtrecht
61
4
Ryan Thomas PEC Zwolle
61
5
Zidane IqbalUtrecht
56
Bad Boys
Most likely to get booked
1
Davy van den BergUtrecht
1
Aggression 69
2
Yoann CathlineUtrecht
7
Aggression 64
3
Arthur ZagréUtrecht
13
Aggression 59
4
Rafik el ArguiouiUtrecht
18
Aggression 39
5
Nick FichtingerPEC Zwolle
18
Aggression 99
Power Rankings
Strongest overall
1
Joris van OvereemUtrecht
90
2
Adrian BlakeUtrecht
81
3
Miliano JonathansUtrecht
80
4
Olivier AertssenPEC Zwolle
77
5
Simon GravesPEC Zwolle
75
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Utrecht vs PEC Zwolle 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 Utrecht vs PEC Zwolle 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 Utrecht 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 Utrecht vs PEC Zwolle 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 Utrecht 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.