Both sides arrive with credible attacking routes, but Inter Miami’s potent forward pressure should set the tempo while New England’s home threat keeps the contest alive. Their combined chance creation points toward an open, escalating match, making goals beyond the threshold the likeliest script.
Match GoalsOver 2.5
Migliore scelta
GOL DI ENTRAMBE
63%
Risultato esatto
Eccellente
1-1
10.6%
8.50
Eccellente
2-1
8.6%
11.00
1-2
8.1%
9.50
1-0
6.9%
17.00
2-2
6.6%
11.00
0-1
6.5%
15.00
2-0
5.6%
21.00
0-2
5%
15.00
140%
2.90TOP
X24%
4.10
236%
2.15
1X64%
X260%
1276%
Combinata
4 selezioni
The 3.95 combined xG points to a lively contest, with Inter Miami’s attack rated 50% above average giving them a strong route to avoid defeat. Both sides project above 4.5 corners, supporting Over 7.5, while the goal threat at both ends makes Over 2.5 and a first-half goal look likely.
1Double ChanceDraw or Inter Miami CF
2Match GoalsOver 2.5
3Corners Over/UnderOver 7.5
4First Half Over/UnderOver 0.5
Confirmed XI4-3-3
30
Turner
12
Feingold
22
Kohler
66
Wynder
23
Sands
10
Gil
21
Raines
14
Yueill
41
Langoni
99
Turgeman
16
Gazdag
Impact Player Hot Head
New England30 giocatori
48.6/ 99Medio
Migliori
1Tanner BeasonDEF81
2Joshua WynderDEF64
3C. OliveiraMID64
Inter Miami29 giocatori
50.2/ 99Medio
Migliori
1Yannick BrightMID72
2Lionel Messi FWD70
3Fricio CaicedoDEF65
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Lionel Messi Inter Miami
99
2
Tadeo AllendeInter Miami
72
3
Mateo SilvettiInter Miami
60
4
Lovens DelinoisInter Miami
58
5
Riquelme FillipiInter Miami
58
Muro
Migliori difensori
1
Tanner BeasonNew England
97
2
Joshua WynderNew England
85
3
Mamadou FofanaNew England
75
4
Ethan KohlerNew England
57
5
Andrew FarrellNew England
54
Controllo
Migliori registi
1
Rodrigo De PaulInter Miami
87
2
Carles Gil New England
82
3
David AyalaInter Miami
62
4
CasemiroInter Miami
61
5
Matías Galarza FondaInter Miami
60
Cattivi ragazzi
Più propensi ai cartellini
1
Carles Gil New England
1
Aggressività 13
2
Griffin YowNew England
1
Aggressività 81
3
Rodrigo De PaulInter Miami
1
Aggressività 24
4
Santiago MoralesInter Miami
1
Aggressività 55
5
Dániel PintérInter Miami
1
Aggressività 69
Classifica potenza
Più forti in assoluto
1
Tanner BeasonNew England
81
2
Yannick BrightInter Miami
72
3
Lionel Messi Inter Miami
70
4
Fricio CaicedoInter Miami
65
5
Joshua WynderNew England
64
Domande frequenti
Our Poisson model calculates the probability of every possible scoreline for New England vs Inter Miami 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 New England vs Inter Miami 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 New England 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 New England vs Inter Miami 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 New England 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.