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• Virsliga
• Rigas Futbola Skola x Super Nova

Rigas Futbola Skola - Super Nova 18.04.2026

• 18/04/26 09:00 |
  Round 7
• Rigas Futbola Skola

  Ikaunieks J. - 48'

  Lipuscek Z. - 65'
  • 2 : 0
  • Finished
  Super Nova

Summary Player Statistics

RFS

Match details

SUN

1st Half 0:0

2nd Half 2:0

48 Ikaunieks J.

65 Lipuscek Z.

RFS

Statistics

SUN

1.65

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.

0.13

63 %

Ball possession

37 %

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.

0

• 2.4 2.2 2.1
• Goals scored per match
• 1.1 1.5 1.4

• 1.2 1.1 0.9
• Goals conceded per match
• 1.7 1.3 1.4

• 25' 27.3' 30'
• Minutes/Goal scored
• 32.1' 32.1' 32.1'

Full Stats

RFS

H2H Stats

SUN

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

• 100% 5wins
• 0draws
• 0wins

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Top Scorers

Rigas Futbola Skola

Latvia Virsliga

#

Goals

• 10 Ikaunieks J.
  5
• 26 Panic S.
  5
• 22 Lemajic D.
  5
• 43 Lipuscek Z.
  2
• 7 Diomande I.
  2

Super Nova

Latvia Virsliga

#

Goals

• 3 Oss M.
  3
• Glaudans A.
  2
• 2 Lizunovs V.
  2
• 30 Iida R.
  1
• Pathe N.
  1

Show full top scorers

Match facts

The most common result of matches between FC RFS and SK Super Nova is 2-1. 3 matches have ended with this result.

During the last 6 meetings with FC RFS playing at home, FC RFS have won 5 times, there have been 0 draws while SK Super Nova have won 1 times. The goal difference is 17-6 in favour of FC RFS.

During the last 12 meetings, FC RFS have won 11 times, there have been 0 draws while SK Super Nova have won 1 times. The goal difference is 39-9 in favour of FC RFS.

SK Super Nova have a winning streak of 3 matches in Virsliga.

SK Super Nova have a winning streak of 3 matches.

SK Super Nova haven't lost in their last 4 games.

SK Super Nova have a winning streak of 3 matches away from home.

SK Super Nova haven't won any of their last 9 games against FC RFS.

When playing at home, FC RFS have not lost to SK Super Nova in their last 4 encounters.

FC RFS haven't scored in 1 of their 3 home matches in Virsliga this season.

SK Super Nova haven't scored in 0 of their 4 away matches in Virsliga this season.

Stefan Panic is FC RFS's top scorer with 3 goals. Marcis Oss has scored 3 times for SK Super Nova.

A year ago, SK Super Nova were number 9 in the table with 4 points. Now they are number 4 with 10 points.

SK Super Nova have scored at least one goal for 9 consecutive matches.

FC RFS wins 1st half in 44% of their matches, SK Super Nova in 24% of their matches.

FC RFS wins 44% of halftimes, SK Super Nova wins 24%.

The winner of their last meeting was FC RFS.

On their last meeting FC RFS won by 2 goals.

When FC RFS leads 1-0 at home, they win in 100% of their matches.

When SK Super Nova leads 0-1 away, they win in 66% of their matches.

When FC RFS is down 0-1 home, they win 14% of their matches.

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

In Virsliga, FC RFS has better performance than SK Super Nova.

FC RFS's performance of the last 5 matches is better than SK Super Nova's.

FC RFS have lost just 0 of their last 5 games against SK Super Nova (in all competitions).

In the last 5 meetings FC RFS won 5, SK Super Nova won 0, 0 draws.

FC RFS have lost just 0 of their last 5 Virsliga games against SK Super Nova.

SK Super Nova have won just 0 of their last 5 Virsliga games against FC RFS.

FC RFS scores 3 goals in a match against SK Super Nova and SK Super Nova scores 0.8 goals against FC RFS (on average).

Average number of goals in meetings between FC RFS and SK Super Nova is 3.8.

Average number of goals in the first half in meetings between FC RFS and SK Super Nova is 2.2.

Both teams didn't concede on their last match.

FC RFS scores 2.68 goals when playing at home and SK Super Nova scores 1.37 goals when playing away (on average).

Did you know that FC RFS scores 30% of their goals between the minutes 76-90?

More facts

Predictions

As part of the Virsliga (Latvia) tournament, the match between teams Rigas Futbola Skola and Super Nova is scheduled. The game will start on 18.04 at 09:00. All sports bettors can follow in-depth Rigas Futbola Skola Super Nova betting tips using the subsequent analysis of teams' statistics and prediction for the match.

5 / 10 of last matches Rigas Futbola Skola in all competitions, at least one team did not score

5 / 10 of last matches Rigas Futbola Skola in Virsliga, at least one team has not scored

3 / 10 of the last matches between the teams, at least one of the teams did not score

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

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

8 / 10 of last matches Rigas Futbola Skola in all tournaments ended with her victory

More predictions

RFS

Standings

SUN

Latvia Virsliga

#	Team	GP	W	D	L	G	GD	P
1	Rigas Futbola Skola	16	14	1	1	38:11	27	43
2	Riga FC	16	12	3	1	50:17	33	39
4	Liepaja	16	6	4	6	21:23	-2	22
5	Super Nova	16	6	2	8	18:23	-5	20
6	BFC Daugavpils	16	5	3	8	19:24	-5	18

Full Standings

Player Statistics

Overall Rigas Futbola Skola Super Nova

Overview

Shots

Attack

Defending

Goalkeeping

Overview

Player	Grade	Minutes played	Goals	xG	Assists	xA	Total shots	Passes	Yellow cards	Red cards
Ikaunieks J. Midfielder	9	90	1	0.78	-	0.66	4	25/32(78%)	-	-
Zelenkovs D. Midfielder	8.5	90	-	0.06	-	0.25	2	37/46(80%)	-	-
Maric M. Goalkeeper	7	90	-	-	-	0.03	-	14/16(88%)	-	-
Savalnieks R. Midfielder	6.6	45	-	0.17	-	0.16	1	24/25(96%)	-	-
Emsis E. Midfielder	6.4	60	-	-	-	0.01	-	9/11(82%)	-	-
Mankenda G. Forward	6.4	23	-	0.08	-	0.08	1	5/8(63%)	-	-

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
Ikaunieks J. Midfielder	4	1	0.63	2	1	-	4	-
Zelenkovs D. Midfielder	2	-	-	1	1	-	-	2
Mankenda G. Forward	1	-	-	1	-	-	1	-
Savalnieks R. Midfielder	1	-	-	-	1	-	1	-
Emsis E. Midfielder	-	-	-	-	-	-	-	-
Maric M. Goalkeeper	-	-	-	-	-	-	-	-

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
Ikaunieks J. Midfielder	9	25/32(78%)	1	-	-	0.66	16/20(80%)	54	4/4(100%)	-	-	-	1
Savalnieks R. Midfielder	4	24/25(96%)	-	-	-	0.16	14/15(93%)	45	1/1(100%)	3/9(33%)	1/1(100%)	1	1
Mankenda G. Forward	3	5/8(63%)	-	-	-	0.08	1/4(25%)	16	-	1/3(33%)	-	-	-
Zelenkovs D. Midfielder	3	37/46(80%)	-	-	-	0.25	11/17(65%)	80	1/6(17%)	3/5(60%)	1/2(50%)	1	-
Emsis E. Midfielder	-	9/11(82%)	-	-	-	0.01	3/3(100%)	24	-	-	1/2(50%)	1	-
Maric M. Goalkeeper	-	14/16(88%)	-	-	-	0.03	1/1(100%)	23	-	-	-	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
Emsis E. Midfielder	12	2/3(67%)	3/9(33%)	3	1/1(100%)	-	2	-	-	-
Zelenkovs D. Midfielder	10	3/4(75%)	5/6(83%)	1	3/3(100%)	1	3	-	-	-
Mankenda G. Forward	5	-	1/4(25%)	1	1/1(100%)	-	-	-	-	-
Ikaunieks J. Midfielder	3	-	1/2(50%)	-	-	1	1	-	-	-
Savalnieks R. Midfielder	3	-	2/3(67%)	-	-	-	1	-	-	-
Maric M. Goalkeeper	1	-	1/1(100%)	-	-	-	1	-	-	-

Goalkeeping

Player	Goals prevented	Goalkeeper saves	xGOT faced	Goals Conceded	Punches	Throws	Sweeper keeper actions
Maric M. Goalkeeper	0.5	1	0.5	-	-	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.