News feed

09 July
15:25
Goal Unveils Top Contenders for 2026 Ballon d'Or
15:05
Spain vs Belgium: WC 2026 Quarterfinal Preview
14:56
France vs Morocco: Starting Lineups Unveiled
14:40
Elite Sports Doctor Leads Real Madrid Medical Team
14:00
France vs Morocco: lineups for the match
13:15
Luka Modric Extends Croatia Career Beyond 2026
13:15
Hajduk Split vs MSK Zilina: lineups for the match
12:55
England Defender Quansah Banned for Two WC Matches
12:45
Eriksen to Rehab in Denmark
12:30
Inter Seal €25m Deal for Union"s Anan Khalaili
09 July
15:05
Spain vs Belgium: WC 2026 Quarterfinal Preview
02:15
France vs Morocco: Quarterfinal Clash Preview
06 July
19:45
Switzerland vs Colombia: World Cup Round of 16 Preview
12:05
Argentina - Egypt: Prediction and Match Preview
05 July
20:05
USA vs Belgium: 2026 World Cup Last-16 Preview
15:05
Portugal vs Spain: Prediction and Match Preview
04 July
20:30
Brazil vs Norway: World Cup Last 16 Preview
20:05
Mexico vs England: Preview and Prediction
03 July
17:05
Paraguay vs France: 2026 World Cup Round of 16 Preview
12:35
Canada - Morocco: Prediction and Match Preview
TOP Tournaments
Show more

Viborg vs AGF Aarhus 06/04/2026

Next match Viborg - AGF Aarhus on 14/08/2026

Viborg VIB

Match details

AGF Aarhus AGF
Viborg VIB

Match stats

AGF Aarhus AGF
0.7
Expected goals (xG) stat-tooltip-icon Expected goals xG - measures the quality of a scoring chance and the probability of it becoming a goal. It's calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team's total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
3.2
58 %
Ball possession
42 %
1
Big chances stat-tooltip-icon Big chances - counts clear scoring opportunities where a goal is highly expected. These are situations like one-on-one with the goalkeeper, close-range shots with little defensive pressure, or shots into an open goal.
3
11
Total shots
13
4
Shots on goal
5
  • 1.6
  • Goals scored per match
  • 1.8
  • 1.2
  • Goals conceded per match
  • 1.1
  • 32.1'
  • Minutes/Goal scored
  • 31'
  • 2.8
  • Match goals average
  • 2.9
  • 28
  • Goals
  • 29

Current Form

Last 5 matches
Viborg VIB

H2H Stats

AGF Aarhus AGF
  • 0wins
  • 20% 1draws
  • 80% 4wins
  • 7
  • Score
  • 16
  • 2
  • Yellow cards
  • 2
  • 0
  • Red cards
  • 0
FT 27/06/26 07:00
AGF Aarhus AGF Aarhus Viborg Viborg
1 1
FT 17/05/26 12:00
AGF Aarhus AGF Aarhus Viborg Viborg
6 2
FT 06/04/26 12:00
Viborg Viborg AGF Aarhus AGF Aarhus
1 2
FT 22/02/26 12:00
AGF Aarhus AGF Aarhus Viborg Viborg
5 2
FT 14/09/25 08:00
Viborg Viborg AGF Aarhus AGF Aarhus
1 2

Last results: Viborg

Last results: AGF Aarhus

Match news

Match facts

The most common result of matches between Viborg FF and AGF Aarhus when Viborg FF is playing at home is 1-1. 7 matches have ended with this result.

The most common result of matches between Viborg FF and AGF Aarhus is 1-1. 11 matches have ended with this result.

During the last 40 meetings with Viborg FF playing at home, Viborg FF have won 16 times, there have been 15 draws while AGF Aarhus have won 9 times. The goal difference is 52-42 in favour of Viborg FF.

During the last 77 meetings, Viborg FF have won 28 times, there have been 24 draws while AGF Aarhus have won 25 times. The goal difference is 106-104 in favour of Viborg FF.

More facts
New comments
Viborg VIB

Statistics

AGF Aarhus AGF
Match
1st Half
2nd Half
0.7
Expected goals (xG) stat-tooltip-icon Expected goals xG - measures the quality of a scoring chance and the probability of it becoming a goal. It's calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team's total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
3.2
58 %
Ball possession
42 %
1
Big chances stat-tooltip-icon Big chances - counts clear scoring opportunities where a goal is highly expected. These are situations like one-on-one with the goalkeeper, close-range shots with little defensive pressure, or shots into an open goal.
3
11
Total shots
13
4
Shots on goal
5
6
Shots off goal
6
6
Shots inside the Box
10
5
Shots outside the Box
3
1.08
xG on target (xGOT) stat-tooltip-icon xG on target (xGOT) - measures the likelihood that a shot on target results in a goal. Unlike xG (which evaluates the chance before the shot), xGOT assesses execution - shot placement, goalkeeper position, etc. - after the ball is struck. Only shots on target are included, each valued 0–1. A team's total xGOT is the sum of all its on-target shots.
2.57
1
Blocked shots
2
1
Hit the woodwork
1
0
Headed goals
1
33
Touches in the opposition Box
12
0
Offsides
1
12
Free kicks
10
4
Corner kicks
2
23
Throw ins
22
442/530 (83%)
Passes
288/383 (75%)
22/56 (39%)
Long Passes
15/57 (26%)
132/181 (73%)
Passes in final third
64/97 (66%)
6/23 (26%)
Crosses
4/9 (44%)
1.18
Expected assists (xA) stat-tooltip-icon Expected assists (xA) - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver's position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player's or team's total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
1.28
10
Fouls
12
2
Yellow cards
1
45
Duels won
57
11/20 (55%)
Tackles
14/23 (61%)
18
Clearances
47
12
Interceptions
9
1
Errors leading to goal
0
3
Goalkeeper saves
3
2.57
xGOT faced stat-tooltip-icon xGOT faced - total number of goals a goalkeeper would be expected to concede based on the volume and quality of on-target shots faced. Each shot's quality is assessed using post-shot factors: placement, goalkeeper positioning, shot speed, etc. xGOT Faced for a team equals the opposing team's total xGOT from shots on target. It serves as the benchmark for calculating Goals Prevented.
1.08
0.57
Goals prevented stat-tooltip-icon Goals prevented - measures how many goals a goalkeeper saved compared to expectation. It is calculated as the difference between xGOT Faced (the total post-shot expected goals of all on-target shots faced) and the actual number of goals conceded (excluding own goals). A higher positive value indicates the goalkeeper performed above average, preventing more goals than expected from the quality of shots faced. A negative value means more goals were conceded than the shots "deserved.
0.08
10 Matches

6 - Wins

1 - Draws

3 - Losses

10 Matches

Wins - 5

Draws - 4

Losses - 1

Goal Difference

+4

16

12

scored

conceded

+7

18

11

  • 1.6
  • Goals scored per match
  • 1.8
  • 1.2
  • Goals conceded per match
  • 1.1
  • 32.1'
  • Minutes/Goal scored
  • 31'
  • 2.8
  • Match goals average
  • 2.9
  • 28
  • Goals
  • 29

Goals scored

AGF Aarhus AGF Aarhus is +20% Better in terms of Goals scored.
hostName VIB
1.63 Goals / match
guestName AGF
1.96 Goals / match
Scored per game
hostName VIB guestName AGF
Over 0.5
88%
92%
Over 1.5
50%
58%
Over 2.5
17%
25%
Over 3.5
4%
13%
Failed to score
13%
8%
scored 1st/2nd Half
hostName VIB guestName AGF
Scored in 1H
58%
67%
Scored in 2H
63%
54%
Scored in both halves
33%
29%
Scored average 1H
0.83
0.92
Scored average 2H
0.79
1.04

Statistics of Viborg matches and AGF Aarhus matches within the tournament Superliga.

Goals conceded

AGF Aarhus AGF Aarhus is +50% Better in terms of Goals conceded.
hostName VIB 1.5 Conceded / match
guestName AGF 1 Conceded / match
Conceded / game
hostName VIB guestName AGF
Over 0.5
71%
71%
Over 1.5
50%
21%
Over 2.5
21%
8%
Over 3.5
4%
0%
Clean sheets
29%
29%
Conceded 1st/2nd Half
hostName VIB guestName AGF
1H Clean sheet
50%
67%
2H Clean sheet
54%
54%
Conceded Average 1H
0.67
0.33
Conceded Average 2H
0.83
0.67

Statistics of Viborg matches and AGF Aarhus matches within the tournament Superliga.

Goals Handicap Stats

Full time
Handicap
hostName VIB hostName AGF
+2.5
71%
92%
+1.5
88%
100%
+0.5
63%
92%
-0.5
46%
63%
-1.5
13%
25%
-2.5
8%
13%
1st Half
Handicap
hostName VIB hostName AGF
+1.5
100%
100%
+0.5
75%
92%
-0.5
29%
63%
-1.5
8%
4%
2nd Half
Handicap
hostName VIB hostName AGF
+1.5
83%
92%
+0.5
71%
83%
-0.5
33%
46%
-1.5
4%
13%

Goals by minute

10 mins
hostName VIB hostName AGF
0-10 mins
9%
7%
11-20 mins
12%
8%
21-30 mins
7%
10%
31-40 mins
7%
10%
41-50 mins
8%
7%
51-60 mins
15%
11%
61-70 mins
11%
11%
71-80 mins
8%
10%
81-90 mins
23%
26%
15 mins
hostName VIB hostName AGF
0-15 mins
15%
14%
16-30 mins
13%
10%
31-45 mins
15%
14%
46-60 mins
15%
13%
61-75 mins
15%
15%
76-90 mins
27%
34%
10 mins
hostName VIB hostName AGF
0-10 mins
10%
9%
11-20 mins
13%
9%
21-30 mins
10%
13%
31-40 mins
8%
13%
41-50 mins
10%
6%
51-60 mins
15%
6%
61-70 mins
3%
15%
71-80 mins
13%
13%
81-90 mins
18%
16%
15 mins
hostName VIB hostName AGF
0-15 mins
10%
17%
16-30 mins
23%
13%
31-45 mins
18%
17%
46-60 mins
15%
9%
61-75 mins
10%
23%
76-90 mins
24%
21%
10 mins
hostName VIB hostName AGF
0-10 mins
8%
4%
11-20 mins
22%
13%
21-30 mins
3%
4%
31-40 mins
6%
4%
41-50 mins
6%
8%
51-60 mins
19%
25%
61-70 mins
19%
8%
71-80 mins
6%
13%
81-90 mins
11%
21%
15 mins
hostName VIB hostName AGF
0-15 mins
22%
8%
16-30 mins
11%
13%
31-45 mins
11%
8%
46-60 mins
19%
29%
61-75 mins
22%
8%
76-90 mins
15%
34%

Who will score first?

hostName VIB
46%
Scored first in 11/24 matches.
guestName AGF
71%
Scored first in 17/24 matches.

Number of Cards

Total Cards / Match
hostName VIB guestName AGF
3
2
1

Total cards per match for Viborg and AGF Aarhus at the tournament Superliga in 2025/2026 season.

Total Cards
Over 1.5
83%
88%
85%
Over 2.5
71%
71%
71%
Over 3.5
42%
46%
44%
Over 4.5
25%
38%
31%
Over 5.5
13%
17%
15%
Over 6.5
0%
8%
4%
Over 7.5
0%
0%
0%
Team Cards
Over 0.5
88%
75%
81%
Over 1.5
46%
46%
46%
Over 2.5
13%
21%
17%
Over 3.5
4%
4%
4%
Over 4.5
0%
0%
0%
Cards Against Team
Cards Against Team
hostName VIB guestName AGF Average
Over 0.5
92%
88%
90%
Over 1.5
54%
67%
60%
Over 2.5
17%
46%
31%
Over 3.5
13%
17%
15%
Over 4.5
4%
0%
2%

First / second half WDL

1H/2H WDL
hostName VIB hostName AGF
Win % 1st Half
29%
63%
Win % 2st Half
33%
46%
Draw % 1st Half
46%
29%
Draw % 2nd Half
38%
38%
Loss % 1st Half
25%
8%
Loss % 2nd Half
29%
16%

Top Scorers



#
Goals
  • 1 Horneman C.
    FW
    Viborg
    6
  • 2 Sondergaard Clausen M.
    MD
    Viborg
    5
  • 3 Jorgensen T.
    MD
    Viborg
    4
  • 4 Freriks T.
    FW
    Viborg
    4
  • 5 Kuzmic S.
    DF
    Viborg
    4
  • 6 Hanza D.
    FW
    Viborg
    3
  • 7 Njoh Y.
    FW
    Viborg
    2
  • 8 Vester Nielsen J.
    MD
    Viborg
    2
  • 9 Brahimi B.
    MD
    Viborg
    2
  • 10 Addo O.
    FW
    Viborg
    2
  • 11 Karchoud S.
    FW
    Viborg
    2
  • 12 Kirkegaard L.
    DF
    Viborg
    2
  • 13 Beck A.
    MD
    Viborg
    2
  • 14 Gronning J.
    MD
    Viborg
    1
  • 15 Ementa A.
    FW
    Viborg
    1
  • 16 Radic S.
    DF
    Viborg
    1
  • 17 Alal S.
    DF
    Viborg
    1
  • 18 Hoedemakers M.
    MD
    Viborg
    1
  • 19 Bidstrup H.
    DF
    Viborg
    1
  • 20 Anyembe D.
    DF
    Viborg
    1
Load more
#
Goals
  • 1 Bech T.
    FW
    AGF Aarhus
    12
  • 2 Mortensen P.
    FW
    AGF Aarhus
    9
  • 3 Arnstad K.
    MD
    AGF Aarhus
    9
  • 4 Cartstensen R.
    DF
    AGF Aarhus
    5
  • 5 Links G.
    MD
    AGF Aarhus
    4
  • 6 Yakob K.
    MD
    AGF Aarhus
    4
  • 7 Emmery F.
    FW
    AGF Aarhus
    3
  • 8 Serra J.
    FW
    AGF Aarhus
    3
  • 9 Beijmo F.
    DF
    AGF Aarhus
    2
  • 10 Solbakken M.
    MD
    AGF Aarhus
    2
  • 11 Dalsgaard H.
    DF
    AGF Aarhus
    2
  • 12 Kristjansson T.
    MD
    AGF Aarhus
    2
  • 13 Poulsen N.
    MD
    AGF Aarhus
    1
  • 14 Tchamche S.
    FW
    AGF Aarhus
    1
  • 15 Tingager F.
    DF
    AGF Aarhus
    1
  • 16 Bogere J.
    FW
    AGF Aarhus
    1
  • 17 Jorgensen S.
    FW
    AGF Aarhus
    1
Load more

Current Standings Positions

# Group Championship Round GP W D L G GD P
1 32 19 10 3 62:32 30 67
5 32 13 5 14 49:51 -2 44
  • Champions League Qualification
  • UEFA Europa League Qualification
  • Conference League Qualification
  • Qualification Playoffs
# Group Superliga GP W D L G GD P
1 22 15 5 2 46:23 23 50
5 22 10 3 9 37:35 2 33
  • Championship round
  • Relegation Round
# Group Championship Round GP W D L G GD P
1 16 10 4 2 31:14 17 34
5 16 7 2 7 26:24 2 23
# Group Superliga GP W D L G GD P
2 11 8 1 2 22:10 12 25
5 11 6 1 4 23:19 4 19
# Group Championship Round GP W D L G GD P
1 16 9 6 1 31:18 13 33
4 16 6 3 7 23:27 -4 21
# Group Superliga GP W D L G GD P
1 11 7 4 0 24:13 11 25
5 11 4 2 5 14:16 -2 14

Performance teams chart

5 Position 1
22 Round 22
Previous | Next round

Player Statistics

Overview
Shots
Attack
Defending
Goalkeeping
Overview
Player Grade Minutes played Goals xG Assists xA Total shots Passes Yellow cards Red cards
player
Serra J.
Forward team
8.5 60 2 0.95 - 0.04 2 9/13(69%) - -
player
Dalsgaard H.
Defender team
8 90 - 0.19 1 0.11 2 34/50(68%) - -
player
Karchoud S.
Forward team
7.9 88 1 0.42 - 0.22 3 28/31(90%) 1 -
player
Knudsen M.
Midfielder team
7.7 90 - - - 0.02 - 23/30(77%) - -
player
Tingager F.
Defender team
7.7 60 - - - - - 36/41(88%) - -
player
Anyembe D.
Defender team
7.2 90 - - - 0.04 - 87/102(85%) - -
player
Hansen J.
Goalkeeper team
7.2 90 - - - - - 20/35(57%) - -
player
Emmery F.
Forward team
6.9 29 - - - 0.42 - 3/4(75%) - -
player
Kahl E.
Defender team
6.9 82 - - - 0.01 - 40/48(83%) - -
player
Beck A.
Midfielder team
6.8 70 - 0.02 1 0.5 1 32/39(82%) - -
player
Jorgensen S.
Forward team
6.7 30 - - - 0.26 - 12/14(86%) - -
player
Jorgensen T.
Midfielder team
6.7 77 - 0.03 - 0.12 1 28/35(80%) 1 -
player
Lund L.
Goalkeeper team
6.6 90 - - - - - 29/33(88%) - -
player
Kuzmic S.
Defender team
6.5 90 - - - 0.15 - 37/45(82%) - -
player
Mortensen P.
Forward team
6.5 30 - 0.32 - 0.08 2 5/9(56%) - -
player
Yakob K.
Midfielder team
6.5 61 - 0.03 - 0.01 1 19/27(70%) - -
player
Bech T.
Forward team
6.4 89 - 0.75 - 0.03 4 14/18(78%) - -
player
Brahimi B.
Midfielder team
6.2 45 - - - 0.01 - 13/15(87%) - -
player
Bundgaard O.
Defender team
6.2 20 - - - 0.06 - 10/15(67%) - -
player
Beijmo F.
Defender team
6.1 90 - - - 0.09 - 32/39(82%) - -
player
Freriks T.
Forward team
6.1 13 - - - - - 1/1(50%) - -
player
Hoedemakers M.
Midfielder team
6.1 20 - 0.05 - 0.02 1 16/17(94%) - -
player
Links G.
Midfielder team
6.1 90 - 0.11 - 0.03 1 22/27(81%) - -
player
Arnstad K.
Midfielder team
5.9 90 - 0.28 - 0.02 1 16/21(76%) 1 -
player
Gronning J.
Midfielder team
5.9 90 - - - 0.06 - 35/43(81%) - -
player
Bidstrup H.
Defender team
5.8 70 - 0.04 - 0.01 1 28/40(70%) - -
player
Hanza D.
Forward team
5.6 90 - 0.19 - 0.01 3 13/19(68%) - -
player
Jensen-Abbew J.
Defender team
- 8 - - - - - 1/1(100%) - -
player
Kristjansson T.
Midfielder team
- 1 - - - - - - - -
player
Zaletel Z.
Defender team
- 2 - 0.07 - - 1 - - -
xG - measures the quality of a scoring chance and the probability of it becoming a goal. It’s calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team’s total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
Shots
Player Total shots Shots on target xGOT Shots off target Blocked shots Shots header Shots inside the Box Shots outside the Box
player
Bech T.
Forward team
4 2 0.98 1 1 - 2 2
player
Hanza D.
Forward team
3 1 0.1 1 1 - 2 1
player
Karchoud S.
Forward team
3 2 1.11 1 - - 2 1
player
Dalsgaard H.
Defender team
2 - - 1 1 1 2 -
player
Mortensen P.
Forward team
2 - - 2 - - 2 -
player
Serra J.
Forward team
2 2 1.41 - - 1 2 -
player
Arnstad K.
Midfielder team
1 1 0.26 - - - 1 -
player
Beck A.
Midfielder team
1 - - 1 - - - 1
player
Bidstrup H.
Defender team
1 - - 1 - - 1 -
player
Hoedemakers M.
Midfielder team
1 - - 1 - - - 1
player
Jorgensen T.
Midfielder team
1 1 0.02 - - - - 1
player
Links G.
Midfielder team
1 - - 1 - - 1 -
player
Yakob K.
Midfielder team
1 - - 1 - - - 1
player
Zaletel Z.
Defender team
1 - - 1 - 1 1 -
player
Anyembe D.
Defender team
- - - - - - - -
player
Beijmo F.
Defender team
- - - - - - - -
player
Brahimi B.
Midfielder team
- - - - - - - -
player
Bundgaard O.
Defender team
- - - - - - - -
player
Emmery F.
Forward team
- - - - - - - -
player
Freriks T.
Forward team
- - - - - - - -
player
Gronning J.
Midfielder team
- - - - - - - -
player
Hansen J.
Goalkeeper team
- - - - - - - -
player
Jensen-Abbew J.
Defender team
- - - - - - - -
player
Jorgensen S.
Forward team
- - - - - - - -
player
Kahl E.
Defender team
- - - - - - - -
player
Knudsen M.
Midfielder team
- - - - - - - -
player
Kristjansson T.
Midfielder team
- - - - - - - -
player
Kuzmic S.
Defender team
- - - - - - - -
player
Lund L.
Goalkeeper team
- - - - - - - -
player
Tingager F.
Defender team
- - - - - - - -
xGOT - measures the likelihood that a shot on target results in a goal. Unlike xG (which evaluates the chance before the shot), xGOT assesses execution — shot placement, goalkeeper position, etc. — after the ball is struck. Only shots on target are included, each valued 0–1. A team’s total xGOT is the sum of all its on-target shots.
Attack
Player Touches in the opposition Box Passes Big chances created Big chances missed Assists xA Passes in final third Touches Passes long Crosses Successful dribbles Fouled Offsides
player
Hanza D.
Forward team
6 13/19(68%) - - - 0.01 5/10(50%) 37 - - - 1 -
player
Karchoud S.
Forward team
6 28/31(90%) - - - 0.22 17/19(89%) 61 - - 3/7(43%) 4 -
player
Kuzmic S.
Defender team
4 37/45(82%) - - - 0.15 15/21(71%) 77 1/2(50%) 3/4(75%) 3/4(75%) 2 -
player
Jorgensen T.
Midfielder team
3 28/35(80%) - - - 0.12 11/13(85%) 58 2/4(50%) 1/3(25%) - - -
player
Bech T.
Forward team
2 14/18(78%) - 1 - 0.03 7/7(100%) 32 - - 2/2(100%) 2 -
player
Brahimi B.
Midfielder team
2 13/15(87%) - - - 0.01 5/6(83%) 25 1/2(50%) - - - -
player
Bundgaard O.
Defender team
2 10/15(67%) - - - 0.06 7/10(70%) 21 - 2/3(67%) - - -
player
Dalsgaard H.
Defender team
2 34/50(68%) 1 - 1 0.11 2/8(25%) 72 2/11(18%) 1/2(50%) - 2 -
player
Mortensen P.
Forward team
2 5/9(56%) - 1 - 0.08 2/3(67%) 14 - - - - -
player
Serra J.
Forward team
2 9/13(69%) - - - 0.04 4/4(100%) 25 - - - - 1
player
Zaletel Z.
Defender team
2 - - - - - - 2 - - - - -
player
Anyembe D.
Defender team
1 87/102(85%) - - - 0.04 19/25(76%) 114 5/15(33%) - - - -
player
Arnstad K.
Midfielder team
1 16/21(76%) - - - 0.02 9/11(82%) 31 1/2(50%) 1/1(50%) - - -
player
Beck A.
Midfielder team
1 32/39(82%) 1 - 1 0.5 12/15(80%) 55 1/1(100%) - - - -
player
Bidstrup H.
Defender team
1 28/40(70%) - - - 0.01 6/11(55%) 59 3/7(43%) - - - -
player
Emmery F.
Forward team
1 3/4(75%) 1 - - 0.42 1/2(50%) 16 - - 1/2(50%) 1 -
player
Gronning J.
Midfielder team
1 35/43(81%) - - - 0.06 11/13(85%) 64 - - - 4 -
player
Jorgensen S.
Forward team
1 12/14(86%) - - - 0.26 6/7(86%) 24 - - - - -
player
Links G.
Midfielder team
1 22/27(81%) - - - 0.03 7/11(64%) 63 - 1/2(50%) 2/5(40%) 2 -
player
Beijmo F.
Defender team
- 32/39(82%) - - - 0.09 9/11(82%) 59 3/4(75%) 1/2(50%) - - -
player
Freriks T.
Forward team
- 1/1(50%) - - - - 1/1(50%) 4 - - - - -
player
Hansen J.
Goalkeeper team
- 20/35(57%) - - - - - 45 3/18(17%) - - - -
player
Hoedemakers M.
Midfielder team
- 16/17(94%) - - - 0.02 4/5(80%) 23 - - - - -
player
Jensen-Abbew J.
Defender team
- 1/1(100%) - - - - - 4 - - - - -
player
Kahl E.
Defender team
- 40/48(83%) - - - 0.01 8/9(89%) 60 2/4(50%) - 1/1(100%) 2 -
player
Knudsen M.
Midfielder team
- 23/30(77%) - - - 0.02 3/5(60%) 49 - - 1/2(50%) - -
player
Kristjansson T.
Midfielder team
- - - - - - - - - - - - -
player
Lund L.
Goalkeeper team
- 29/33(88%) - - - - 1/5(20%) 39 4/8(50%) - - - -
player
Tingager F.
Defender team
- 36/41(88%) - - - - 3/5(60%) 57 2/5(40%) - 1/1(100%) - -
player
Yakob K.
Midfielder team
- 19/27(70%) - - - 0.01 4/8(50%) 49 3/6(50%) - 2/3(67%) 1 -
xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
Defending
Player Duels Aerial duels Ground duels Foules Tackles Interceptions Clearances Error leading to goal Error leading to shot Own goals
player
Karchoud S.
Forward team
16 - 8/15(53%) 1 1/1(100%) 1 2 - - -
player
Knudsen M.
Midfielder team
15 1/2(50%) 8/13(62%) 2 6/8(75%) 4 2 - - -
player
Gronning J.
Midfielder team
14 1/3(33%) 8/11(73%) - 2/4(50%) 3 - - - -
player
Hanza D.
Forward team
13 1/6(17%) 2/7(29%) 2 1/1(100%) - 1 - - -
player
Yakob K.
Midfielder team
13 2/2(100%) 4/11(36%) 3 - 2 4 - - -
player
Links G.
Midfielder team
12 - 7/12(58%) 1 1/3(33%) 1 3 - - -
player
Jorgensen T.
Midfielder team
11 1/2(50%) 3/9(33%) 2 2/3(67%) 3 1 - - -
player
Kuzmic S.
Defender team
11 1/1(100%) 6/10(60%) 1 - - 5 - - -
player
Serra J.
Forward team
11 3/5(60%) 2/6(33%) - 1/2(50%) - 1 - - -
player
Tingager F.
Defender team
10 4/5(80%) 4/5(80%) 1 2/3(67%) 2 7 - - -
player
Beck A.
Midfielder team
9 1/2(50%) 1/7(14%) 1 - 2 - - - -
player
Bech T.
Forward team
8 - 4/8(50%) 2 - - - - - -
player
Dalsgaard H.
Defender team
8 1/2(50%) 3/6(50%) 2 1/1(100%) 2 7 - - -
player
Kahl E.
Defender team
7 1/2(50%) 4/5(80%) - - - 5 - - -
player
Emmery F.
Forward team
6 - 4/6(67%) - 1/2(50%) 2 1 - - -
player
Bidstrup H.
Defender team
5 - 2/5(40%) 1 2/2(100%) 2 - - - -
player
Arnstad K.
Midfielder team
4 - 1/3(33%) 1 - - 3 - - -
player
Brahimi B.
Midfielder team
4 - 2/4(50%) 1 2/2(100%) 1 1 - - -
player
Hoedemakers M.
Midfielder team
4 1/2(50%) - - - - - - - -
player
Mortensen P.
Forward team
4 2/3(67%) - - - - - - - -
player
Anyembe D.
Defender team
3 1/2(50%) 1/1(100%) - - 1 6 - - -
player
Beijmo F.
Defender team
3 - 2/3(67%) - 1/2(50%) - 7 - - -
player
Freriks T.
Forward team
3 1/1(100%) - - - - - - - -
player
Jorgensen S.
Forward team
2 - 1/2(50%) - 1/1(100%) - 4 - - -
player
Bundgaard O.
Defender team
1 - 1/1(50%) 1 - - - - - -
player
Hansen J.
Goalkeeper team
1 1/1(100%) - - - - 2 - - -
player
Jensen-Abbew J.
Defender team
- - - - - - 2 - - -
player
Kristjansson T.
Midfielder team
- - - - - - - - - -
player
Lund L.
Goalkeeper team
- - - - - - - 1 - -
player
Zaletel Z.
Defender team
- - - - - - - - - -
Goalkeeping
Player Goals prevented Goalkeeper saves xGOT faced Goals Conceded Punches Throws Sweeper keeper actions
player
Lund L.
Goalkeeper team
0.65 3 2.65 2 - 2 -
player
Hansen J.
Goalkeeper team
0.23 3 1.23 1 1 2 1
Goals prevented - measures how many goals a goalkeeper saved compared to expectation. It is calculated as the difference between xGOT Faced (the total post-shot expected goals of all on-target shots faced) and the actual number of goals conceded (excluding own goals). A higher positive value indicates the goalkeeper performed above average, preventing more goals than expected from the quality of shots faced. A negative value means more goals were conceded than the shots "deserved.
xGOT faced - total number of goals a goalkeeper would be expected to concede based on the volume and quality of on-target shots faced. Each shot’s quality is assessed using post-shot factors: placement, goalkeeper positioning, shot speed, etc. xGOT Faced for a team equals the opposing team’s total xGOT from shots on target. It serves as the benchmark for calculating Goals Prevented.

About

About the Viborg sc AGF Aarhus 06.04.2026 match

06 Apr 2026 at 12:00, Viborg and AGF Aarhus will play a match in the Superliga. The match will take place at the Energi Viborg Arena. The score, statistics and full live stream of the match between Viborg - AGF Aarhus can be accessed on footboom1.com.

Latest matches of Viborg

  • Viborg - Notts County (11 Jul 2026) 2:0 Club Friendly Games
  • AaB Fodbold - Viborg (03 Jul 2026) 3:1 Club Friendly Games
  • AGF Aarhus - Viborg (27 Jun 2026) 1:1 Club Friendly Games
  • AGF Aarhus - Viborg (17 May 2026) Vejlby Stadion 6:2 Superliga
  • Viborg - SonderjyskE (08 May 2026) Energi Viborg Arena 0:1 Superliga

Last matches of the AGF Aarhus

  • AGF Aarhus - Motherwell (05 Jul 2026) 4:0 Club Friendly Games
  • AGF Aarhus - Viborg (27 Jun 2026) 1:1 Club Friendly Games
  • AGF Aarhus - Viborg (17 May 2026) Vejlby Stadion 6:2 Superliga
  • Brondby - AGF Aarhus (10 May 2026) Brøndby Stadium 0:2 Superliga
  • AGF Aarhus - SonderjyskE (03 May 2026) Vejlby Stadion 2:1 Superliga

H2H Information

This page lists the head-to-head history between Viborg and AGF Aarhus, including maximum wins and losses between the two teams and the H2H stats in all competitions.

In recent years, Viborg and AGF Aarhus have played 5 matches against each other.

Team Viborg h2h wins: 0 match.

Team AGF Aarhus h2h wins: 4 match.

At the end of the match, you'll find all the important moments and the result of Viborg - AGF Aarhus on this page.

While you wait for the Viborg - AGF Aarhus live stream to start, you can check out the match odds and our predictions to place the best bets on this Superliga match!

Top bookmakers
gift-icon-gray 100 USD
Get Bonus
gift-icon-gray for $19.99
Get Bonus
gift-icon-gray for $15.99
Get Bonus
gift-icon-gray for $2.99
Get Bonus
gift-icon-gray for $2.99
Get Bonus
gift-icon-gray 100%
Get Bonus
gift-icon-gray 100%
Get Bonus

Match Info

Date:
6 April 2026, 12:00
Referee:
Jakob A Sundberg, Denmark
Stadium:
Energi Viborg Arena, Viborg, Denmark
Capacity:
9566