Over 8.5 corners looks the logical call: Inter’s attack is very strong at winning corners (+36%), while Shakhtar also create them frequently (+24%). Both sides have the tools to pressure the flanks and force clearances, and Champions League stakes should keep the tempo high. Even with both defenses relatively solid, their attacking momentum points toward a lively corner count.
Corners Over/UnderOver 8.5
Best Pick
Over 2.5
75%
Correct Score
Top
2-1
8.9%
10.00
3-1
7.8%
10.00
2-0
6.9%
9.00
1-1
6.8%
13.00
3-0
6%
9.00
2-2
5.8%
19.00
1-0
5.2%
13.00
4-1
5.1%
13.00
166%
1.22TOP
X17%
6.50
217%
12.00
1X83%
X234%
1283%
Combined Bet Builder
3 legs
Inter’s explosive home attack should drive the drama, while Shakhtar have enough firepower to answer rather than simply absorb pressure. That open, relentless contest looks set to produce goals at both ends and push beyond a routine scoreline; with Inter’s forceful wing play and Shakhtar’s threat on the break, corner pressure should build toward a busy tally.
1Both Teams to ScoreYes
2Match GoalsOver 3.5
3Corners Over/UnderOver 7.5
Confirmed XI3-5-2
1
Martínez
31
Bisseck
25
Akanji
95
Bastoni
17
Diouf
23
Barella
20
Çalhanoğlu
22
Mkhitaryan
32
Dimarco
94
Esposito
9
Thuram
Impact Player Hot Head
Inter Milan32 players
55.2/ 99Strong
Top Rated
1Lautaro Martínez FWD87
2Marcus ThuramFWD85
3Ebenezer AkinsanmiroMID81
FC Shakhtar Donetsk34 players
51.9/ 99Average
Top Rated
1Kauã EliasFWD88
2Gleiker MendozaFWD73
3Yukhym KonoplyaDEF69
Player Rankings
Snipers
Top goal threats
1
Lautaro Martínez Inter Milan
99
2
Kauã EliasFC Shakhtar Donetsk
93
3
Marcus ThuramInter Milan
86
4
Gleiker MendozaFC Shakhtar Donetsk
85
5
Pio EspositoInter Milan
78
Wall
Top defenders
1
Diego Arroyo FC Shakhtar Donetsk
67
2
John StonesInter Milan
60
3
Vinícius TobiasFC Shakhtar Donetsk
52
4
Alan MatturroFC Shakhtar Donetsk
51
5
Yukhym KonoplyaFC Shakhtar Donetsk
50
Control
Top playmakers
1
Hakan Çalhanoğlu Inter Milan
98
2
Kristjan AsllaniInter Milan
89
3
Nicolò BarellaInter Milan
80
4
Piotr Zieliński Inter Milan
78
5
Ebenezer AkinsanmiroInter Milan
69
Bad Boys
Most likely to get booked
1
Carlos AugustoInter Milan
1
Aggression 65
2
Hakan Çalhanoğlu Inter Milan
1
Aggression 58
3
Mykola Matvienko FC Shakhtar Donetsk
3
Aggression 19
4
Nicolò BarellaInter Milan
13
Aggression 45
5
IsaqueFC Shakhtar Donetsk
15
Aggression 40
Power Rankings
Strongest overall
1
Kauã EliasFC Shakhtar Donetsk
88
2
Lautaro Martínez Inter Milan
87
3
Marcus ThuramInter Milan
85
4
Ebenezer AkinsanmiroInter Milan
81
5
Pio EspositoInter Milan
74
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Inter Milan vs FC Shakhtar Donetsk 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 Inter Milan vs FC Shakhtar Donetsk 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 Inter Milan 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 Inter Milan vs FC Shakhtar Donetsk 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 Inter Milan 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.