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Pittsburgh Riverhounds - Virginia Dream 01.04.2026 02:00: score, statistics, forecasts

Completed
2
0
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1 half 0:0
2 half 2:0
01.04.2026 02:00
US Open Cup
2026 | USA
Highmark Stadium
Hosts' position: 1 (+1)
Guests' Position: 2 (-1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 1.9 4.33
Avg. angles per match 3.6 10.67
Avg. yellow cards per match 1.2 4.67
Avg. KK per match 0 0
Pittsburgh Riverhounds
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League & referee
We have detailed statistics not only on events, but also on referees and championships
US Open Cup

LIVE match center

Goals
173.91% from average (1.15)
2
0
0% from average (2.33)
Corner
171.43% from average (1.75)
3
1
37.45% from average (2.67)
Fouls
178.22% from average (5.05)
9
15
93.75% from average (16)
119.4% from average (20.1)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
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Team metrics

We try to show statistics for the last 20 matches, if that's what we have in our database. Also, when showing statistics for corners, shots, offsides, fouls, attacks, and passes, we exclude matches with zero results for these parameters from the calculations to ensure a more accurate picture, as these stats are not recorded for all leagues
Team
Pittsburgh Riverhounds Virginia Dream
Goals per match average
1.9 4.33
Team goals per match average
1.15 2.33
Opponent goals per match average
0.75 2
Corners per match average
3.6 10.67
Team corners per match average
1.75 2.67
Opponent corners per match average
1.85 8
Yellow cards per match average
1.2 4.67

Interesting facts about the team Pittsburgh Riverhounds

General
Pittsburgh Riverhounds
Opponents

Interesting facts about the team Virginia Dream

General
Virginia Dream
Opponents

Brief Overview

Virginia Dream will play away against Pittsburgh Riverhounds 01.04.2026. We have not yet received details about the match referee. It is difficult to predict the game, as there is no recent head-to-head data. This match is interesting as the teams are playing each other for the first time in the last couple of years.

This is the LIVE match center Pittsburgh Riverhounds - Virginia Dream 01.04.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
174% from average (1.15)
2
0
0% from average (2.33)
Possession
316% from average (20.55)
65%
35%
90% from average (39)
Corner
171% from average (1.75)
3
1
37% from average (2.67)
Yellow cards
571% from average (0.35)
2
1
75% from average (1.33)
115% from average (2.6)
Red cards
0% from average (0.05)
0
0
- from average (0)
0% from average (0.1)
Fouls
178% from average (5.05)
9
15
94% from average (16)
119% from average (20.1)
Shots on goal
396% from average (5.05)
20
3
36% from average (8.33)
Shots on target
270% from average (1.85)
5
2
60% from average (3.33)
Blows past
585% from average (2.05)
12
1
33% from average (3)
Blocked Punches
0% from average (1.5)
0
3
150% from average (2)
Shots from the penalty area
429% from average (3.5)
15
1
20% from average (5)
Shots from outside the penalty area
323% from average (1.55)
5
2
60% from average (3.33)
Passes
196% from average (178.15)
349
191
61% from average (315.67)
Successful passes
0% from average (135.7)
0
0
0% from average (237.67)
Passing accuracy
253% from average (33.6)
85%
72%
96% from average (75)
Attacks
370% from average (44)
163
85
90% from average (94.67)
Dangerous Attacks
326% from average (21.5)
70
20
38% from average (53)
Offsides
455% from average (1.1)
5
1
- from average (0)
Saves
0% from average (1.15)
0
3
64% from average (4.67)
Substitutions
227% from average (2.2)
5
5
136% from average (3.67)
Goal kicks
167% from average (1.8)
3
14
127% from average (11)
Trying to score
0% from average (0.65)
0
0
- from average (0)
Free Kicks
292% from average (2.4)
7
4
31% from average (13)
Outs
824% from average (2.55)
21
17
165% from average (10.33)
Playing Safely with a Ball
340% from average (32.6)
111
101
105% from average (96.33)

Match Progress

The match has begun - the first half is underway
0
:
0
Yellow Card
41’
T. Amann
The match has continued - the second half is underway
0
:
0
Goal
51’
D. Griffin
1
:
0
Substitution
54’
Akingbolahan Akinkoye
Anderson Asiedu
Yellow Card
62’
Eliot Goldthorp
Substitution
66’
D. Griffin
Sam Bassett
Substitution
66’
Owen Thomas Mikoy
P. Barnes
Substitution
71’
T. Amann
B. Larsen
Substitution
71’
J. Garcia
C. Ahl
Yellow Card
74’
Dominique Kosséhassé
Substitution
74’
James Filerman
Jacob Campbell
Substitution
74’
Nicolas Likulia
Moussa Conde
Substitution
82’
Eliot Goldthorp
V. Souza
Substitution
82’
Jean-Christophe Koffi
Ibrahim Conteh
Substitution
82’
Michael DeShields
Demetrius Shepard-Lewis
Match Completed
1
:
0

Starting lineups

Player
1
Nico Campuzano
~
~
~
~
13
Maximiliano Viera
~
~
~
+3
28
I. Osumanu
~
~
~
+2
6
Owen Thomas Mikoy
~
~
~
~
4
Lasse Jonathan Kelp
~
~
~
~
42
J. Wälti
~
~
~
+3
2
D. Griffin
~
~
1
+3
14
R. Mertz
~
~
~
+2
18
J. Garcia
~
~
~
+3
37
Eliot Goldthorp
~
1
1
+5
7
T. Amann
~
1
~
+4
Player
1
Héctor Guerrero
~
~
~
~
31
Michael DeShields
~
~
~
+2
5
Dominique Kosséhassé
~
~
~
+1
14
Harri Hawkins
~
~
~
+1
2
James Filerman
~
~
~
+1
16
Asparuh Slavov
~
~
~
+2
10
Jean-Christophe Koffi
~
~
~
+2
22
Akingbolahan Akinkoye
~
~
~
+1
7
Elijah Amo
~
~
~
+1
9
Nicolas Likulia
~
~
~
+4
98
Zoumana Diarra
~
~
~
+4

Substitutions

Player
3
P. Barnes
~
~
~
+1
5
V. Souza
~
~
~
~
9
Albert Dikwa
~
~
~
~
10
C. Ahl
~
~
~
+1
17
B. Larsen
~
~
~
+2
19
Sam Bassett
~
~
~
~
20
Mitchell Budler
~
~
~
~
Player
8
Anderson Asiedu
~
~
~
~
12
Jacob Campbell
~
~
~
~
15
Ibrahim Conteh
~
~
~
+1
17
Moussa Conde
~
~
~
~
20
Demetrius Shepard-Lewis
~
~
~
+1
24
Thomas Suchecki
~
~
~
~
27
Austin Heid
~
~
~
~

These are detailed team statistics

We offer team statistics for 8 indicators. Fill in the filters below to see a list of matches and summary data for home and away teams

These are machine learning-based predictions (Machine Learning, ML)

ML predictions are an exclusive and unique feature of 4SCORE. Our servers run special mathematical algorithms that calculate the strength of teams and perform analysis based on pseudo-random event prediction algorithms. We do not accept these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!

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These are detailed statistics of head-to-head meetings Pittsburgh Riverhounds and Virginia Dream before the match 01.04.2026

We offer team statistics for 8 indicators. Fill in the filters below to see the match list and summary data

This tool will help you find the right trend for a match Pittsburgh Riverhounds - Virginia Dream 01.04.2026

This tool, based on the entered probability, will show the trend operating within that probability for teams, referees, and championships. Learn more about how this tool works