Horsens - Kolding IF 31.05.2026
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31/05/26
09:00
|
Round 32
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- 1 : 0
- Finished
1.25
Expected goals (xG)
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.
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.
0.29
50
%
Ball possession
50
%
2
Big chances
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.
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.
0
10
Matches
6 - Wins
3 - Draws
1 - Losses
10
Matches
Wins - 2
Draws - 2
Losses - 6
-
30% 3/10
- Both team to score
-
4/10 40%
- 47%
- Ball possession
-
52%
- 15 1.5
- Goals scored per match
- 11 1.1
- 9.92 0.99
- xG (Expected Goals) per match
- 8.53 0.85
- 7 0.7
- Goals conceded per match
- 16 1.6
- 10.16 1.02
- Expected goals conceded (xCG) per match
- 12.33 1.23
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Match facts
During the last 5 meetings with AC Horsens playing at home, AC Horsens have won 2 times, there have been 0 draws while Kolding IF have won 3 times.
During the last 11 meetings, AC Horsens have won 5 times, there have been 1 draws while Kolding IF have won 5 times.
Last season Kolding IF won both games against AC Horsens (2-0 at home and 3-2 away).
In 1. Division, Kolding IF have lost their last 4 away matches.
Predictions
As part of the 1. Division (Denmark) tournament, the match between teams Horsens and Kolding IF is scheduled. The game will start on 31.05 at 09:00. All sports bettors can follow in-depth Horsens Kolding IF betting tips using the subsequent analysis of teams' statistics and prediction for the match.
6 / 10 of last matches Horsens in all tournaments ended with her victory
6 / 10 of last matches Horsens in 1. Division ended with her victory
5 / 10 of last matches between the teams ended in victory Horsens
6 / 10 of her last matches Kolding IF in all competitions ended in defeat
6 / 10 of last matches Kolding IF in 1. Division ended in defeat
1 / 10 of her last matches Horsens in all competitions ended in defeat
| # | Group 1. Division | GP | W | D | L | G | GD | P |
|---|---|---|---|---|---|---|---|---|
| 3 | 22 | 10 | 7 | 5 | 33:29 | 4 | 37 | |
| 4 | 22 | 11 | 4 | 7 | 32:29 | 3 | 37 | |
| 5 | 22 | 9 | 6 | 7 | 29:23 | 6 | 33 | |
| 6 | 22 | 8 | 6 | 8 | 26:24 | 2 | 30 | |
| 7 | 22 | 7 | 7 | 8 | 33:31 | 2 | 28 | |
| 8 | 22 | 8 | 4 | 10 | 26:36 | -10 | 28 |
| # | Group Promotion Round | GP | W | D | L | G | GD | P |
|---|---|---|---|---|---|---|---|---|
| 1 | 32 | 18 | 6 | 8 | 69:36 | 33 | 60 | |
| 2 | 32 | 15 | 9 | 8 | 42:27 | 15 | 54 | |
| 3 | 32 | 15 | 7 | 10 | 45:43 | 2 | 52 | |
| 5 | 32 | 11 | 13 | 8 | 43:39 | 4 | 46 | |
| 6 | 32 | 10 | 8 | 14 | 37:40 | -3 | 38 |
Player Statistics
Overview
Shots
Attack
Defending
Goalkeeping
Overview
| Player | Grade | Minutes played | Goals | xG | Assists | xA | Total shots | Passes | Yellow cards | Red cards |
|---|---|---|---|---|---|---|---|---|---|---|
Kirkegaard K.
Forward
|
8.4 | 78 | 1 | 0.73 | - | 0.07 | 2 | 43/45(96%) | - | - |
Palsson V.
Defender
|
8 | 90 | - | - | - | 0.26 | - | 21/35(60%) | - | - |
|
Texel P.
Defender
|
6.8 | 90 | - | 0.02 | - | 0.13 | 1 | 41/54(76%) | 1 | - |
|
Delac M.
Goalkeeper
|
6.7 | 90 | - | - | - | - | - | 12/32(38%) | - | - |
|
Alfaro J.
Midfielder
|
6.6 | 56 | - | - | - | 0.01 | - | 18/22(82%) | - | - |
|
Saine A.
Defender
|
6 | 23 | - | - | - | - | - | 3/6(50%) | - | - |
|
Hollsberg H.
Midfielder
|
5.8 | 90 | - | - | - | 0.01 | - | 22/33(67%) | - | - |
|
Papa J.
Forward
|
5.3 | 80 | - | - | - | 0.01 | - | 8/10(80%) | - | - |
Brandhof F.
Midfielder
|
- | 1 | - | - | - | - | - | - | - | - |
|
Ludwig A.
Defender
|
- | 1 | - | - | - | - | - | - | - | - |
|
Nedic N.
Midfielder
|
- | 10 | - | 0.06 | - | - | 1 | 2/3(67%) | - | - |
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 |
|---|---|---|---|---|---|---|---|---|
|
Kirkegaard K.
Forward
|
2 | 2 | 0.6 | - | - | - | 2 | - |
|
Nedic N.
Midfielder
|
1 | - | - | 1 | 1 | - | 1 | - |
|
Texel P.
Defender
|
1 | - | - | 1 | - | - | - | 1 |
|
Alfaro J.
Midfielder
|
- | - | - | - | - | - | - | - |
|
Brandhof F.
Midfielder
|
- | - | - | - | - | - | - | - |
|
Delac M.
Goalkeeper
|
- | - | - | - | - | - | - | - |
|
Hollsberg H.
Midfielder
|
- | - | - | - | - | - | - | - |
|
Ludwig A.
Defender
|
- | - | - | - | - | - | - | - |
|
Palsson V.
Defender
|
- | - | - | - | - | - | - | - |
|
Papa J.
Forward
|
- | - | - | - | - | - | - | - |
|
Saine A.
Defender
|
- | - | - | - | - | - | - | - |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Kirkegaard K.
Forward
|
6 | 43/45(96%) | - | 1 | - | 0.07 | 22/23(96%) | 67 | 2/3(67%) | - | 2/5(40%) | 2 | - |
|
Palsson V.
Defender
|
2 | 21/35(60%) | - | - | - | 0.26 | 8/18(44%) | 56 | 3/9(33%) | - | - | 1 | - |
|
Papa J.
Forward
|
2 | 8/10(80%) | - | - | - | 0.01 | 4/4(100%) | 26 | - | - | - | 4 | - |
|
Hollsberg H.
Midfielder
|
1 | 22/33(67%) | - | - | - | 0.01 | 4/6(67%) | 56 | - | - | - | 2 | - |
|
Nedic N.
Midfielder
|
1 | 2/3(67%) | - | - | - | - | - | 4 | - | - | - | - | - |
|
Saine A.
Defender
|
1 | 3/6(50%) | - | - | - | - | 2/5(40%) | 12 | - | - | - | - | 1 |
|
Texel P.
Defender
|
1 | 41/54(76%) | - | - | - | 0.13 | 9/15(60%) | 90 | 1/10(10%) | 5/9(56%) | - | - | - |
|
Alfaro J.
Midfielder
|
- | 18/22(82%) | - | - | - | 0.01 | 3/5(60%) | 38 | 2/2(100%) | - | - | 2 | - |
|
Brandhof F.
Midfielder
|
- | - | - | - | - | - | - | - | - | - | - | - | - |
|
Delac M.
Goalkeeper
|
- | 12/32(38%) | - | - | - | - | 2/10(20%) | 38 | 6/26(23%) | - | - | - | - |
|
Ludwig A.
Defender
|
- | - | - | - | - | - | - | - | - | - | - | - | - |
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 |
|---|---|---|---|---|---|---|---|---|---|---|
|
Hollsberg H.
Midfielder
|
15 | 3/7(43%) | 5/8(63%) | 1 | 1/3(33%) | 1 | 3 | - | - | - |
|
Kirkegaard K.
Forward
|
14 | 1/2(50%) | 6/12(50%) | 1 | 1/2(50%) | 1 | 1 | - | - | - |
|
Palsson V.
Defender
|
13 | 6/8(75%) | 3/5(60%) | 1 | 2/2(100%) | 1 | 3 | - | 1 | - |
|
Papa J.
Forward
|
12 | 1/2(50%) | 6/10(60%) | - | 1/2(50%) | - | - | - | - | - |
|
Texel P.
Defender
|
11 | 2/5(40%) | 3/6(50%) | 2 | 2/3(67%) | 1 | 4 | - | - | - |
|
Alfaro J.
Midfielder
|
9 | - | 4/9(44%) | - | 2/2(100%) | 3 | - | - | - | - |
|
Saine A.
Defender
|
8 | 1/5(20%) | - | 1 | - | - | 1 | - | - | - |
|
Nedic N.
Midfielder
|
2 | - | - | 1 | - | - | - | - | - | - |
|
Brandhof F.
Midfielder
|
- | - | - | - | - | - | - | - | - | - |
|
Delac M.
Goalkeeper
|
- | - | - | - | - | - | - | - | - | - |
|
Ludwig A.
Defender
|
- | - | - | - | - | - | - | - | - | - |
Goalkeeping
| Player | Goals prevented | Goalkeeper saves | xGOT faced | Goals Conceded | Punches | Throws | Sweeper keeper actions |
|---|---|---|---|---|---|---|---|
|
Delac M.
Goalkeeper
|
0.09 | 2 | 0.09 | - | - | 4 | - |
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.
