Jong KRC Genk - Lokeren Oost-Vlaanderen 03.04.2026
Next match Lokeren Oost-Vlaanderen - Jong KRC Genk on 28/08/2026
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03/04/26
14:00
|
Round 32
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- 2 : 2
- Finished
1.45
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.
1.64
46
%
Ball possession
54
%
1
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.
1
- 1.5
- Goals scored per match
- 1.7
- 1.5
- Goals conceded per match
- 1.5
- 30'
- Minutes/Goal scored
- 28.1'
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Match facts
Last season KSC Lokeren-Temse won both games against Jong KRC Genk (4-0 at home and 2-1 away).
Did you know that Jong KRC Genk scores 24% of their goals between the minutes 31-45?
Did you know that KSC Lokeren-Temse scores 30% of their goals between the minutes 76-90?
Jong KRC Genk haven't scored in 5 of their 14 home matches in Challenger Pro League this season.
Predictions
As part of the Challenger Pro League (Belgium) tournament, the match between teams Jong KRC Genk and Lokeren Oost-Vlaanderen is scheduled. The game will start on 03.04 at 14:00. All sports bettors can follow in-depth Jong KRC Genk Lokeren Oost-Vlaanderen betting tips using the subsequent analysis of teams' statistics and prediction for the match.
6 / 10 of last matches in all competitions Jong KRC Genk did not lose
6 / 10 of last matches in Challenger Pro League Jong KRC Genk did not lose
4 / 10 of her last matches Jong KRC Genk in all competitions ended in defeat
4 / 10 of last matches Jong KRC Genk in Challenger Pro League ended in defeat
| # | Team | GP | W | D | L | G | GD | P |
|---|---|---|---|---|---|---|---|---|
| 7 | 32 | 12 | 11 | 9 | 44:36 | 8 | 47 | |
| 8 | 32 | 10 | 12 | 10 | 48:45 | 3 | 42 | |
| 9 | 32 | 12 | 5 | 15 | 42:51 | -9 | 41 | |
| 14 | 32 | 7 | 10 | 15 | 46:55 | -9 | 31 | |
| 15 | 32 | 7 | 10 | 15 | 42:59 | -17 | 31 | |
| 16 | 32 | 5 | 6 | 21 | 33:55 | -22 | 21 |
Player Statistics
Overview
Shots
Attack
Defending
Goalkeeping
Overview
| Player | Grade | Minutes played | Goals | xG | Assists | xA | Total shots | Passes | Yellow cards | Red cards |
|---|---|---|---|---|---|---|---|---|---|---|
Pau M.
Midfielder
|
7.8 | 79 | 1 | 0.29 | 1 | 0.1 | 2 | 34/38(89%) | - | - |
Yokoyama A.
Midfielder
|
6.8 | 90 | - | 0.28 | - | 0.02 | 4 | 19/28(68%) | - | - |
|
Lloci M.
Midfielder
|
6.6 | 90 | - | - | - | 0.23 | - | 30/35(86%) | 1 | - |
Erabi J.
Forward
|
5.5 | 90 | - | - | - | 0.02 | - | 15/20(75%) | 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 |
|---|---|---|---|---|---|---|---|---|
|
Yokoyama A.
Midfielder
|
4 | 2 | 0.13 | 2 | - | - | 1 | 3 |
|
Pau M.
Midfielder
|
2 | 1 | 0.85 | - | 1 | - | 1 | 1 |
|
Erabi J.
Forward
|
- | - | - | - | - | - | - | - |
|
Lloci M.
Midfielder
|
- | - | - | - | - | - | - | - |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Yokoyama A.
Midfielder
|
4 | 19/28(68%) | - | - | - | 0.02 | 7/10(70%) | 40 | 1/3(33%) | - | - | - | - |
|
Lloci M.
Midfielder
|
2 | 30/35(86%) | - | - | - | 0.23 | 12/14(86%) | 61 | 2/3(67%) | 1/4(25%) | 1/3(33%) | 2 | - |
|
Erabi J.
Forward
|
1 | 15/20(75%) | - | - | - | 0.02 | 4/6(67%) | 32 | - | - | - | 2 | - |
|
Pau M.
Midfielder
|
1 | 34/38(89%) | - | - | 1 | 0.1 | 13/17(76%) | 56 | 3/3(100%) | 1/2(50%) | 1/2(33%) | 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 |
|---|---|---|---|---|---|---|---|---|---|---|
|
Erabi J.
Forward
|
15 | 4/7(57%) | 2/8(25%) | 3 | - | - | 1 | - | - | - |
|
Lloci M.
Midfielder
|
10 | - | 3/8(38%) | 2 | - | 4 | - | - | - | - |
|
Pau M.
Midfielder
|
9 | - | 3/9(33%) | 3 | 1/2(50%) | 3 | - | - | - | - |
|
Yokoyama A.
Midfielder
|
3 | - | 2/3(67%) | - | 1/2(50%) | 1 | - | - | - | - |
Goalkeeping
| Player | Goals prevented | Goalkeeper saves | xGOT faced | Goals Conceded | Punches | Throws | Sweeper keeper actions |
|---|
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.
