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• Liepaja x Super Nova

Liepaja - Super Nova 12.06.2026

• 12/06/26 12:00 |
  Round 17
• Liepaja

  Gueye D. - 37'

  Patijcuks D. - 45+4'
  • 2 : 1
  • Finished
  Super Nova

  Lizunovs V. - 28'

Summary Player Statistics

LIE

Match details

SUN

1st Half 2:1

28 Lizunovs V.

37 Gueye D.

45 + 4 Patijcuks D.

2nd Half 0:0

LIE

Statistics

SUN

1.77

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.

0.62

51 %

Ball possession

49 %

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.

1

10 Matches

5 - Wins

2 - Draws

3 - Losses

10 Matches

3 - Wins

2 - Draws

5 - Losses

10 Matches

4 - Wins

3 - Draws

3 - Losses

10 Matches

Wins - 2

Draws - 3

Losses - 5

10 Matches

Wins - 5

Draws - 1

Losses - 4

10 Matches

Wins - 3

Draws - 1

Losses - 6

• 50% 5/10
• Both team to score
• 4/10 40%

• 54%
• Ball possession
• 42%

• 16 1.6
• Goals scored per match
• 10 1

• 10.08 1.01
• xG (Expected Goals) per match
• 7.4 0.74

• 16 1.6
• Goals conceded per match
• 14 1.4

• 9.7 0.97
• Expected goals conceded (xCG) per match
• 12.81 1.28

Full Stats

LIE

H2H Stats

SUN

All tournaments Virsliga 5 matches 10 matches 15 matches All matches 5 matches 10 matches 15 matches All matches

• 60% 3wins
• 0draws
• 40% 2wins

More H2H

Chat

New comments

TimeTravelerTim61

12/06 02:36

Liepaja!!!

AmeliaAurora

09/06 11:22

Anticipating incredible emotions!

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Top Scorers

Liepaja

Latvia Virsliga

No data available

Super Nova

Latvia Virsliga

No data available

Match facts

During the last 6 meetings with FK Liepaja playing at home, FK Liepaja have won 4 times, there have been 1 draws while SK Super Nova have won 1 times. The goal difference is 11-7 in favour of FK Liepaja.

During the last 13 meetings, FK Liepaja have won 9 times, there have been 2 draws while SK Super Nova have won 2 times. The goal difference is 29-17 in favour of FK Liepaja.

In Virsliga, FK Liepaja have 3 successive home wins.

Did you know that FK Liepaja scores 29% of their goals between the minutes 46-60?

Did you know that FK Liepaja scores 5% of their goals between the minutes 16-30? This is the lowest percentage in the league.

Did you know that SK Super Nova scores 28% of their goals between the minutes 76-90?

FK Liepaja have won 3 home matches in a row.

FK Liepaja haven't lost in any of their last 5 home matches.

FK Liepaja haven't scored in 1 of their 8 home matches in Virsliga this season.

SK Super Nova haven't scored in 3 of their 9 away matches in Virsliga this season.

SK Super Nova's away record this season: 5-0-4.

Djibril Gueye is FK Liepaja's top scorer with 3 goals. Marcis Oss has scored 3 times for SK Super Nova.

FK Liepaja have scored at least one goal for 5 consecutive matches.

FK Liepaja wins 1st half in 34% of their matches, SK Super Nova in 23% of their matches.

FK Liepaja wins 34% of halftimes, SK Super Nova wins 23%.

The winner of their last meeting was FK Liepaja.

On their last meeting FK Liepaja won by 1 goals.

When FK Liepaja leads 1-0 at home, they win in 71% of their matches.

When SK Super Nova leads 0-1 away, they win in 70% of their matches.

When FK Liepaja is down 0-1 home, they win 0% of their matches.

When SK Super Nova is down 1-0 away, they win 0% of their matches.

In Virsliga, FK Liepaja has better performance than SK Super Nova.

FK Liepaja's performance of the last 5 matches is better than SK Super Nova's.

In the last 5 meetings FK Liepaja won 2, SK Super Nova won 2, 1 draws.

FK Liepaja scores 1.4 goals in a match against SK Super Nova and SK Super Nova scores 2 goals against FK Liepaja (on average).

Average number of goals in meetings between FK Liepaja and SK Super Nova is 3.4.

Average number of goals in the first half in meetings between FK Liepaja and SK Super Nova is 2.

FK Liepaja scores 1.67 goals when playing at home and SK Super Nova scores 1.14 goals when playing away (on average).

More facts

Who will win?

• Liepaja
• Draw
• Super Nova

Vote and compare your choice with other fans!

Will both teams score?

• Yes
• No

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Who will score first?

• Liepaja
• No goal
• Super Nova

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Predictions

As part of the Virsliga (Latvia) tournament, the match between teams Liepaja and Super Nova is scheduled. The game will start on 12.06 at 12:00. All sports bettors can follow in-depth Liepaja Super Nova betting tips using the subsequent analysis of teams' statistics and prediction for the match.

3 / 10 of last matches Liepaja in all competitions, at least one team did not score

3 / 10 of last matches Liepaja in Virsliga, at least one team has not scored

4 / 10 of the last matches between the teams, at least one of the teams did not score

5 / 10 of last matches Super Nova in all competitions, at least one team did not score

5 / 10 of last matches Super Nova in Virsliga, at least one team has not scored

7 / 10 of last matches in all competitions Liepaja did not draw

More predictions

LIE

Standings

SUN

Latvia Virsliga

#	Team	GP	W	D	L	G	GD	P
2	Riga FC	17	13	3	1	54:18	36	42
3	Auda	17	11	2	4	33:21	12	35
4	Liepaja	17	7	4	6	23:24	-1	25
5	Super Nova	17	6	2	9	19:25	-6	20
6	BFC Daugavpils	17	5	4	8	20:25	-5	19
7	Jelgava	17	3	7	7	13:31	-18	16

Full Standings

Player Statistics

Overall Liepaja Super Nova

Overview

Shots

Attack

Defending

Goalkeeping

Overview

Player	Grade	Minutes played	Goals	xG	Assists	xA	Total shots	Passes	Yellow cards	Red cards
Martins M. Defender	8.4	90	-	0.01	-	0.01	1	25/31(81%)	1	-
Oss D. Goalkeeper	6.8	90	-	-	-	-	-	15/22(68%)	1	-
Amatkarijo C. Midfielder	6.7	21	-	-	-	-	-	1/3(33%)	-	-
Emsis E. Midfielder	6.6	45	-	-	-	0.01	-	15/21(71%)	1	-
Korotkovs I. Midfielder	6.4	90	-	0.01	-	0.01	1	46/61(75%)	1	-
Pulis I. Forward	-	1	-	-	-	-	-	-	-	-
Traore A. Forward	-	1	-	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
Korotkovs I. Midfielder	1	-	-	1	-	-	-	1
Martins M. Defender	1	-	-	1	-	-	-	1
Traore A. Forward	1	-	-	-	1	-	1	-
Amatkarijo C. Midfielder	-	-	-	-	-	-	-	-
Emsis E. Midfielder	-	-	-	-	-	-	-	-
Oss D. Goalkeeper	-	-	-	-	-	-	-	-
Pulis I. Forward	-	-	-	-	-	-	-	-

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
Emsis E. Midfielder	2	15/21(71%)	-	-	-	0.01	7/11(64%)	29	1/3(33%)	-	-	2	-
Martins M. Defender	1	25/31(81%)	-	-	-	0.01	6/7(86%)	57	2/1(67%)	-	1/1(100%)	2	-
Traore A. Forward	1	-	-	-	-	-	-	2	-	-	-	1	-
Amatkarijo C. Midfielder	-	1/3(33%)	-	-	-	-	1/3(33%)	7	-	-	-	-	-
Korotkovs I. Midfielder	-	46/61(75%)	-	-	-	0.01	2/6(33%)	79	2/13(15%)	-	-	5	1
Oss D. Goalkeeper	-	15/22(68%)	-	-	-	-	1/2(50%)	36	2/9(22%)	-	-	-	-
Pulis I. Forward	-	-	-	-	-	-	-	-	-	-	-	-	-

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
Korotkovs I. Midfielder	18	4/10(40%)	6/8(75%)	3	1/2(50%)	1	6	-	1	-
Martins M. Defender	14	5/6(83%)	6/8(75%)	2	2/3(67%)	1	6	-	-	-
Emsis E. Midfielder	9	1/2(50%)	2/7(29%)	3	-	-	1	-	-	-
Amatkarijo C. Midfielder	1	-	-	1	-	1	-	-	-	-
Pulis I. Forward	1	-	-	-	-	-	-	-	-	-
Traore A. Forward	1	-	1/1(100%)	-	-	-	-	-	-	-
Oss D. Goalkeeper	-	-	-	-	-	-	2	-	-	-

Goalkeeping

Player	Goals prevented	Goalkeeper saves	xGOT faced	Goals Conceded	Punches	Throws	Sweeper keeper actions
Oss D. Goalkeeper	-0.59	6	0.41	1	-	5	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.