Super Nova - Auda 01.05.2026
Next match Super Nova - Auda on 21/06/2026
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01/05/26
11:00
|
Round 10
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- 1 : 2
- Finished
0.56
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.
1.28
31
%
Ball possession
69
%
0
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
- 1.3
- Goals scored per match
- 1.7
- 1.3
- Goals conceded per match
- 1.5
- 34.6'
- Minutes/Goal scored
- 28.1'
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Match facts
During the last 10 meetings with SK Super Nova playing at home, SK Super Nova have won 3 times, there have been 2 draws while FK Auda Riga have won 5 times. The goal difference is 13-11 in favour of FK Auda Riga.
During the last 22 meetings, SK Super Nova have won 5 times, there have been 3 draws while FK Auda Riga have won 14 times. The goal difference is 40-24 in favour of FK Auda Riga.
SK Super Nova's last home win against FK Auda Riga was in 2019.
SK Super Nova have a losing streak of 3 matches in Virsliga.
Predictions
As part of the Virsliga (Latvia) tournament, the match between teams Super Nova and Auda is scheduled. The game will start on 01.05 at 11:00. All sports bettors can follow in-depth Super Nova Auda betting tips using the subsequent analysis of teams' statistics and prediction for the match.
3 / 10 of the last matches Super Nova in Virsliga ended with its defeat in the 1st half
4 / 10 of the last matches Auda in all tournaments ended with its victory in the 1st half
5 / 10 of the last matches Auda in Virsliga ended with its victory in the 1st half
2 / 10 of the last matches between the teams ended with a victory Auda in the 1st half
6 / 10 of last matches in all competitions Super Nova did not lose
6 / 10 of last matches in Virsliga Super Nova did not lose
| # | Team | GP | W | D | L | G | GD | P |
|---|---|---|---|---|---|---|---|---|
| 2 | 16 | 12 | 3 | 1 | 50:17 | 33 | 39 | |
| 3 | 16 | 11 | 1 | 4 | 32:20 | 12 | 34 | |
| 4 | 16 | 6 | 4 | 6 | 21:23 | -2 | 22 | |
| 5 | 16 | 6 | 2 | 8 | 18:23 | -5 | 20 | |
| 6 | 16 | 5 | 3 | 8 | 19:24 | -5 | 18 |
Player Statistics
Overview
Shots
Attack
Defending
Goalkeeping
Overview
| Player | Grade | Minutes played | Goals | xG | Assists | xA | Total shots | Passes | Yellow cards | Red cards |
|---|---|---|---|---|---|---|---|---|---|---|
Rubenis O.
Forward
|
8.1 | 90 | - | 0.01 | - | 0.07 | 1 | 36/43(84%) | 1 | - |
|
Melniks D.
Midfielder
|
7.5 | 90 | - | 0.09 | - | 0.14 | 1 | 44/51(86%) | - | - |
|
Emsis E.
Midfielder
|
7.2 | 45 | - | 0.03 | - | 0.09 | 1 | 4/7(57%) | 1 | - |
|
Bongemba E.
Forward
|
6.8 | 90 | - | 0.19 | - | 0.13 | 2 | 24/28(86%) | - | - |
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 |
|---|---|---|---|---|---|---|---|---|
|
Bongemba E.
Forward
|
2 | 1 | 0.62 | - | 1 | 1 | 2 | - |
|
Emsis E.
Midfielder
|
1 | - | - | - | 1 | - | 1 | 1 |
|
Melniks D.
Midfielder
|
1 | 1 | 0.46 | - | - | 1 | 1 | - |
|
Rubenis O.
Forward
|
1 | - | - | - | 1 | - | - | 1 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Bongemba E.
Forward
|
4 | 24/28(86%) | - | - | - | 0.13 | 10/12(83%) | 37 | - | - | 1/2(50%) | 1 | - |
|
Melniks D.
Midfielder
|
4 | 44/51(86%) | - | - | - | 0.14 | 5/10(50%) | 64 | 1/3(33%) | - | 1/1(100%) | 2 | - |
|
Emsis E.
Midfielder
|
1 | 4/7(57%) | - | - | - | 0.09 | 1/2(50%) | 19 | - | 1/1(100%) | 1/2(50%) | 2 | - |
|
Rubenis O.
Forward
|
- | 36/43(84%) | - | - | - | 0.07 | 12/13(92%) | 66 | 7/10(70%) | 1/2(33%) | 1/2(50%) | 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 |
|---|---|---|---|---|---|---|---|---|---|---|
|
Melniks D.
Midfielder
|
12 | 8/10(80%) | 2/2(100%) | - | - | - | 6 | - | - | - |
|
Rubenis O.
Forward
|
10 | 1/2(50%) | 6/8(75%) | 1 | 3/4(75%) | 2 | 1 | - | - | - |
|
Emsis E.
Midfielder
|
7 | 1/1(100%) | 5/6(83%) | - | 2/2(100%) | - | 1 | - | - | - |
|
Bongemba E.
Forward
|
6 | - | 2/6(33%) | 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.
