• Football
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• Latvia
• Virsliga
• Riga FC x Super Nova

Riga FC - Super Nova 24.05.2026

• 24/05/26 08:00 |
  Round 15
• Riga FC

  Martins C. - 29'

  Diop M. - 37'

  Badamosi M. - 43'
  • 3 : 0
  • Finished
  Super Nova

Summary Player Statistics

RFC

Match details

SUN

1st Half 3:0

29 Martins C.

37 Diop M.

43 Badamosi M.

2nd Half 0:0

RFC

Statistics

SUN

1.75

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.

0.52

62 %

Ball possession

38 %

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

3 - Draws

2 - Losses

10 Matches

6 - Wins

2 - Draws

2 - Losses

10 Matches

7 - Wins

3 - Draws

0 - Losses

10 Matches

Wins - 2

Draws - 3

Losses - 5

10 Matches

Wins - 5

Draws - 2

Losses - 3

10 Matches

Wins - 4

Draws - 1

Losses - 5

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

• 67%
• Ball possession
• 43%

• 30 3
• Goals scored per match
• 11 1.1

• 11.5 1.15
• xG (Expected Goals) per match
• 7.72 0.77

• 12 1.2
• Goals conceded per match
• 13 1.3

• 3.32 0.33
• Expected goals conceded (xCG) per match
• 10.23 1.02

Full Stats

RFC

H2H Stats

SUN

All tournaments Virsliga Latvijas Kauss 5 matches 10 matches 15 matches All matches 5 matches 10 matches 15 matches All matches 5 matches

• 100% 5wins
• 0draws
• 0wins

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Top Scorers

Riga FC

Latvia Virsliga

No data available

Super Nova

Latvia Virsliga

No data available

Match facts

The most common result of matches between Riga FC and SK Super Nova when Riga FC is playing at home is 2-0. 3 matches have ended with this result.

The most common result of matches between Riga FC and SK Super Nova is 2-0. 4 matches have ended with this result.

During the last 5 meetings with Riga FC playing at home, Riga FC have won 4 times, there have been 1 draws while SK Super Nova have won 0 times. The goal difference is 8-1 in favour of Riga FC.

During the last 15 meetings, Riga FC have won 14 times, there have been 1 draws while SK Super Nova have won 0 times. The goal difference is 53-9 in favour of Riga FC.

Did you know that Riga FC scores 24% of their goals between the minutes 76-90?

Did you know that SK Super Nova scores 27% of their goals between the minutes 16-30?

Riga FC haven't lost in their last 13 games.

Riga FC haven't lost in any of their last 7 home matches.

SK Super Nova haven't won any of their last 5 games against Riga FC.

When playing at home, Riga FC have not lost to SK Super Nova in their last 5 encounters.

Riga FC haven't scored in 0 of their 6 home matches in Virsliga this season.

SK Super Nova haven't scored in 2 of their 8 away matches in Virsliga this season.

Riga FC's home record this season: 4-2-0.

SK Super Nova's away record this season: 4-0-3.

Muhammed Cray Badamosi is Riga FC's top scorer with 8 goals. Marcis Oss has scored 3 times for SK Super Nova.

Riga FC have scored at least one goal for 20 consecutive matches.

Riga FC wins 1st half in 58% of their matches, SK Super Nova in 26% of their matches.

Riga FC wins 58% of halftimes, SK Super Nova wins 26%.

The winner of their last meeting was Riga FC.

On their last meeting Riga FC won by 3 goals.

When Riga FC leads 1-0 at home, they win in 93% of their matches.

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

When Riga FC is down 0-1 home, they win 25% of their matches.

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

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

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

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

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

Riga FC 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 Riga FC.

Riga FC scores 3.8 goals in a match against SK Super Nova and SK Super Nova scores 0.8 goals against Riga FC (on average).

Average number of goals in meetings between Riga FC and SK Super Nova is 4.6.

Average number of goals in the first half in meetings between Riga FC and SK Super Nova is 2.4.

Riga FC scores 3 goals when playing at home and SK Super Nova scores 1.19 goals when playing away (on average).

More facts

Predictions

As part of the Virsliga (Latvia) tournament, the match between teams Riga FC and Super Nova is scheduled. The game will start on 24.05 at 08:00. All sports bettors can follow in-depth Riga FC Super Nova betting tips using the subsequent analysis of teams' statistics and prediction for the match.

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

3 / 10 of last matches Riga FC 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

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 Riga FC in all tournaments ended with her victory

More predictions

RFC

Standings

SUN

Latvia Virsliga

#	Team	GP	W	D	L	G	GD	P
1	Riga FC	19	15	3	1	60:19	41	48
2	Rigas Futbola Skola	18	15	1	2	42:14	28	46
5	BFC Daugavpils	19	6	5	8	21:25	-4	23
6	Super Nova	19	6	3	10	19:27	-8	21
7	Jelgava	19	4	7	8	17:34	-17	19

Full Standings

Player Statistics

Overall Riga FC Super Nova

Overview

Shots

Attack

Defending

Goalkeeping

Overview

Player	Grade	Minutes played	Goals	xG	Assists	xA	Total shots	Passes	Yellow cards	Red cards
Jurkovskis R. Defender	7.7	90	-	-	-	0.12	-	58/63(92%)	-	-
Orols F. Goalkeeper	7	90	-	-	-	-	-	18/21(86%)	-	-
Galo O. Midfielder	6.8	90	-	0.14	-	0.03	2	35/38(92%)	1	-
Emsis E. Midfielder	6.7	61	-	-	-	0.02	-	25/26(96%)	-	-
Cernomordijs A. Defender	6.5	90	-	-	-	0.01	-	66/73(90%)	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
Galo O. Midfielder	2	-	-	2	-	-	2	-
Cernomordijs A. Defender	-	-	-	-	-	-	-	-
Emsis E. Midfielder	-	-	-	-	-	-	-	-
Jurkovskis R. Defender	-	-	-	-	-	-	-	-
Orols F. 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
Galo O. Midfielder	5	35/38(92%)	-	-	-	0.03	10/12(83%)	59	-	-	-	2	-
Cernomordijs A. Defender	1	66/73(90%)	-	-	-	0.01	10/11(91%)	76	3/7(43%)	-	-	1	-
Jurkovskis R. Defender	1	58/63(92%)	-	-	-	0.12	12/15(80%)	95	1/3(33%)	1/6(17%)	-	-	-
Emsis E. Midfielder	-	25/26(96%)	-	-	-	0.02	6/6(100%)	32	-	-	1/1(100%)	-	-
Orols F. Goalkeeper	-	18/21(86%)	-	-	-	-	-	32	-	-	-	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
Galo O. Midfielder	15	1/4(25%)	4/11(36%)	3	1/2(50%)	2	3	-	-	-
Jurkovskis R. Defender	7	-	3/6(50%)	-	2/3(67%)	-	1	-	-	-
Cernomordijs A. Defender	6	-	1/5(20%)	4	-	-	1	-	-	-
Emsis E. Midfielder	6	2/2(100%)	3/4(75%)	1	2/2(100%)	1	1	-	-	-
Orols F. Goalkeeper	1	-	1/1(100%)	-	-	-	1	-	-	-

Goalkeeping

Player	Goals prevented	Goalkeeper saves	xGOT faced	Goals Conceded	Punches	Throws	Sweeper keeper actions
Orols F. Goalkeeper	0.06	2	0.06	-	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.