Ashdod - Hapoel Katamon Jerusalem 13.05.2026
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13/05/26
13:00
|
Round 32
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- 0 : 1
- Finished
0.98
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.
0.92
77
%
Ball possession
23
%
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.
2
10
Matches
0 - Wins
2 - Draws
8 - Losses
10
Matches
Wins - 2
Draws - 3
Losses - 5
-
50% 5/10
- Both team to score
-
1/10 10%
- 52%
- Ball possession
-
51%
- 9 0.9
- Goals scored per match
- 4 0.4
- 8.65 0.87
- xG (Expected Goals) per match
- 4.75 0.48
- 19 1.9
- Goals conceded per match
- 10 1
- 9.39 0.94
- Expected goals conceded (xCG) per match
- 4.94 0.49
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Match facts
During the last 14 meetings with MS Ashdod playing at home, MS Ashdod have won 4 times, there have been 4 draws while Hapoel Jerusalem FC have won 6 times.
During the last 22 meetings, MS Ashdod have won 7 times, there have been 5 draws while Hapoel Jerusalem FC have won 10 times.
MS Ashdod haven't won in their last 9 games.
MS Ashdod have a losing streak of 4 matches at home.
Predictions
As part of the Premier League (Israel) tournament, the match between teams Ashdod and Hapoel Katamon Jerusalem is scheduled. The game will start on 13.05 at 13:00. All sports bettors can follow in-depth Ashdod Hapoel Katamon Jerusalem betting tips using the subsequent analysis of teams' statistics and prediction for the match.
1 / 10 of last matches Ashdod in Premier League ended with her victory
3 / 10 of last matches between the teams ended in victory Ashdod
5 / 10 of her last matches Hapoel Katamon Jerusalem in all competitions ended in defeat
5 / 10 of last matches Hapoel Katamon Jerusalem in Premier League ended in defeat
8 / 10 of last matches in all competitions Ashdod did not draw
8 / 10 of last matches in Premier League Ashdod did not draw
| # | Form Premier League 25/26 | GP | W | D | L | G | GD | P |
|---|---|---|---|---|---|---|---|---|
| 9 | 26 | 7 | 6 | 13 | 37:46 | -9 | 27 | |
| 10 | 26 | 6 | 7 | 13 | 31:44 | -13 | 25 | |
| 11 | 26 | 5 | 9 | 12 | 32:50 | -18 | 24 | |
| 12 | 26 | 4 | 9 | 13 | 22:37 | -15 | 21 | |
| 13 | 26 | 7 | 6 | 13 | 32:52 | -20 | 19 | |
| 14 | 26 | 3 | 3 | 20 | 17:59 | -42 | 12 |
| # | Group Championship Round | GP | W | D | L | G | GD | P |
|---|---|---|---|---|---|---|---|---|
| 1 | 36 | 24 | 7 | 5 | 79:38 | 41 | 79 | |
| 2 | 36 | 22 | 10 | 4 | 78:40 | 38 | 76 |
Player Statistics
Overview
Shots
Attack
Defending
Goalkeeping
Overview
| Player | Grade | Minutes played | Goals | xG | Assists | xA | Total shots | Passes | Yellow cards | Red cards |
|---|---|---|---|---|---|---|---|---|---|---|
Ansah E.
Forward
|
7.3 | 90 | - | 0.63 | - | 0.14 | 2 | 21/27(78%) | - | - |
Cohen A.
Forward
|
6.8 | 61 | - | - | - | 0.08 | - | 25/34(74%) | - | - |
|
Mendy A.
Defender
|
6.7 | 84 | - | 0.01 | - | 0.03 | 1 | 50/65(77%) | - | - |
|
Harel S.
Forward
|
6.6 | 90 | - | - | - | 0.01 | - | 5/10(50%) | - | - |
|
Tamam I.
Midfielder
|
6.6 | 20 | - | - | - | 0.01 | - | 6/6(100%) | - | - |
|
Niemczycki K.
Goalkeeper
|
6.5 | 90 | - | - | - | - | - | 25/31(81%) | - | - |
|
Badash G.
Midfielder
|
6.4 | 72 | - | 0.08 | - | 0.05 | 2 | 2/9(22%) | - | - |
Rakoniats M.
Forward
|
6.3 | 33 | - | - | - | 0.01 | - | 7/10(70%) | 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 |
|---|---|---|---|---|---|---|---|---|
|
Ansah E.
Forward
|
2 | 1 | 0.11 | 1 | - | - | 1 | 1 |
|
Badash G.
Midfielder
|
2 | - | - | 2 | - | - | - | 2 |
|
Mendy A.
Defender
|
1 | - | - | - | 1 | - | - | 1 |
|
Cohen A.
Forward
|
- | - | - | - | - | - | - | - |
|
Harel S.
Forward
|
- | - | - | - | - | - | - | - |
|
Niemczycki K.
Goalkeeper
|
- | - | - | - | - | - | - | - |
|
Rakoniats M.
Forward
|
- | - | - | - | - | - | - | - |
|
Tamam I.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ansah E.
Forward
|
5 | 21/27(78%) | - | 1 | - | 0.14 | 8/12(67%) | 51 | 1/1(100%) | 2/7(29%) | 3/6(50%) | 1 | 1 |
|
Cohen A.
Forward
|
1 | 25/34(74%) | - | - | - | 0.08 | 6/14(43%) | 51 | 1/7(14%) | 1/2(50%) | - | - | - |
|
Harel S.
Forward
|
1 | 5/10(50%) | - | - | - | 0.01 | 1/5(20%) | 30 | - | - | 1/1(100%) | 1 | - |
|
Badash G.
Midfielder
|
- | 2/9(22%) | - | - | - | 0.05 | - | 32 | - | 2/4(50%) | 1/2(50%) | 4 | - |
|
Mendy A.
Defender
|
- | 50/65(77%) | - | - | - | 0.03 | 13/20(65%) | 89 | 5/14(36%) | 1/3(33%) | - | - | - |
|
Niemczycki K.
Goalkeeper
|
- | 25/31(81%) | - | - | - | - | 1/6(17%) | 41 | 5/11(45%) | - | - | 1 | - |
|
Rakoniats M.
Forward
|
- | 7/10(70%) | - | - | - | 0.01 | 2/3(67%) | 15 | - | - | - | 2 | 1 |
|
Tamam I.
Midfielder
|
- | 6/6(100%) | - | - | - | 0.01 | 4/4(100%) | 9 | - | - | - | - | - |
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 |
|---|---|---|---|---|---|---|---|---|---|---|
|
Ansah E.
Forward
|
12 | 1/3(33%) | 4/9(44%) | 2 | - | - | - | - | - | - |
|
Badash G.
Midfielder
|
10 | - | 6/10(60%) | 2 | 1/1(100%) | 1 | - | - | - | - |
|
Rakoniats M.
Forward
|
6 | - | 2/6(33%) | 2 | - | - | - | - | - | - |
|
Harel S.
Forward
|
5 | 1/1(100%) | 3/4(75%) | 1 | 1/2(50%) | 3 | 3 | - | - | - |
|
Cohen A.
Forward
|
3 | - | 2/3(67%) | - | 2/2(100%) | 2 | 1 | - | - | - |
|
Mendy A.
Defender
|
3 | - | 1/3(33%) | 1 | - | - | 2 | - | - | - |
|
Niemczycki K.
Goalkeeper
|
2 | - | 1/2(50%) | - | - | - | 3 | - | - | - |
|
Tamam I.
Midfielder
|
2 | - | - | 1 | - | - | 1 | - | - | - |
Goalkeeping
| Player | Goals prevented | Goalkeeper saves | xGOT faced | Goals Conceded | Punches | Throws | Sweeper keeper actions |
|---|---|---|---|---|---|---|---|
|
Niemczycki K.
Goalkeeper
|
0.42 | 1 | 1.42 | 1 | 1 | 4 | 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.
