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Oppsal

Oppsal football statistics on BetBallers: results, upcoming fixtures, league table, squad and team stats from 315 tracked games with 1x2 odds, Asian Handicap win rates and AI predictions.

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Oppsal Statistics

Statistics based on last games

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Oppsal League table

Norway Division 3 Group 6

  • Overall
  • Home
  • Away

Group 6

P Team W D L Goals PO
1 Lillehammer 8 1 1 41:12 25
2 Gjøvik-Lyn 6 2 2 11:5 20
3 Rade IL 6 1 3 40:19 19
4 Sandefjord 2 6 0 4 28:19 18
5 Elverum 6 0 4 25:16 18
6 Ørn Horten 4 4 2 19:13 16
7 Oppsal 5 1 4 17:13 16
8 Lyn 1896 II 5 1 4 16:17 16
9 Drøbak/Frogn 4 3 3 15:12 15
10 Rælingen 4 2 4 21:29 14
11 Sarpsborg 2 2 2 6 17:28 8
12 Fram 2 2 6 13:24 8
13 Brumunddal 2 1 7 12:36 7
14 Bjørkelangen 0 0 10 6:38 0

Group 6

P Team W D L Goals PO
1 Lillehammer 5 0 0 24:5 15
2 Rade IL 4 1 0 22:5 13
3 Gjøvik-Lyn 4 1 0 6:0 13
4 Sandefjord 2 4 0 1 18:8 12
5 Elverum 4 0 1 14:10 12
6 Rælingen 3 2 0 11:6 11
7 Ørn Horten 3 1 1 13:8 10
8 Lyn 1896 II 3 1 1 9:5 10
9 Oppsal 3 0 3 9:9 9
10 Drøbak/Frogn 2 1 1 9:6 7
11 Brumunddal 2 1 3 9:19 7
12 Sarpsborg 2 2 0 2 9:8 6
13 Fram 1 2 2 8:7 5
14 Bjørkelangen 0 0 5 3:21 0

Group 6

P Team W D L Goals PO
1 Lillehammer 3 1 1 17:7 10
2 Drøbak/Frogn 2 2 2 6:6 8
3 Oppsal 2 1 1 8:4 7
4 Gjøvik-Lyn 2 1 2 5:5 7
5 Elverum 2 0 3 11:6 6
6 Rade IL 2 0 3 18:14 6
7 Ørn Horten 1 3 1 6:5 6
8 Sandefjord 2 2 0 3 10:11 6
9 Lyn 1896 II 2 0 3 7:12 6
10 Fram 1 0 4 5:17 3
11 Rælingen 1 0 4 10:23 3
12 Sarpsborg 2 0 2 4 8:20 2
13 Bjørkelangen 0 0 5 3:17 0
13 Brumunddal 0 0 4 3:17 0

Norway Division 2 Group 1

  • Overall
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  • Away

2. Division 2026, Group 1

P Team W D L Goals PO
1 Jerv 8 2 0 20:8 26
2 Brattvåg 8 0 2 20:6 24
3 Bjarg 6 1 3 19:17 19
4 Sotra 5 3 2 22:8 18
5 Kvik Halden FK 5 3 2 16:10 18
6 Mjondalen 5 2 3 19:14 17
7 Notodden 4 3 3 14:9 15
8 Træff 3 4 3 19:17 13
9 Pors Grenland 3 3 4 10:13 12
10 Sandviken 3 2 5 9:15 11
11 Lysekloster 1 4 5 11:21 7
12 Arendal 0 5 5 7:17 5
13 Eik Tønsberg 1 1 8 7:21 4
14 Vidar 0 3 7 6:23 3

2. Division 2026, Group 1

P Team W D L Goals PO
1 Mjondalen 4 1 0 15:5 13
2 Jerv 4 1 0 9:4 13
3 Brattvåg 4 0 0 9:1 12
4 Kvik Halden FK 3 1 1 8:3 10
5 Træff 2 2 2 13:10 8
6 Sotra 2 1 2 13:5 7
7 Bjarg 2 1 2 10:11 7
8 Sandviken 2 0 2 6:6 6
9 Lysekloster 1 2 2 6:7 5
10 Eik Tønsberg 1 1 4 6:9 4
11 Pors Grenland 1 1 3 2:6 4
12 Arendal 0 3 2 4:7 3
13 Notodden 0 2 2 2:4 2
14 Vidar 0 2 4 4:14 2

2. Division 2026, Group 1

P Team W D L Goals PO
1 Notodden 4 1 1 12:5 13
2 Jerv 4 1 0 11:4 13
3 Brattvåg 4 0 2 11:5 12
4 Bjarg 4 0 1 9:6 12
5 Sotra 3 2 0 9:3 11
6 Kvik Halden FK 2 2 1 8:7 8
6 Pors Grenland 2 2 1 8:7 8
8 Træff 1 2 1 6:7 5
9 Sandviken 1 2 3 3:9 5
10 Mjondalen 1 1 3 4:9 4
11 Arendal 0 2 3 3:10 2
12 Lysekloster 0 2 3 5:14 2
13 Vidar 0 1 3 2:9 1
14 Eik Tønsberg 0 0 4 1:12 0

Norway Division 2 Group 2

  • Overall
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  • Away

Group 2

P Team W D L Goals PO
1 Grorud 13 6 5 40:29 45
2 Asane 13 5 6 60:30 44
3 Kjelsås 12 7 5 47:28 43
4 Fram-DELETED 12 6 5 48:27 42
5 Asker 11 7 6 34:28 40
6 Alta-DELETED 11 4 8 38:35 37
7 Florø 8 8 8 32:36 32
8 Sotra-DELETED 8 6 9 30:30 30
9 Baerum-DELETED 7 8 8 37:47 29
10 Odd 2-DELETED 8 2 13 42:40 26
11 Elverum-DELETED 7 4 12 30:37 25
12 Senja-DELETED 5 6 12 25:44 21
13 Oppsal 5 6 13 28:55 21
14 Mjølner-DELETED 4 5 14 24:49 17

Group 2

P Team W D L Goals PO
1 Alta-DELETED 9 2 1 28:12 29
2 Asane 8 3 1 33:8 27
3 Fram-DELETED 8 3 1 31:11 27
4 Kjelsås 7 4 1 26:9 25
5 Grorud 7 2 3 25:16 23
6 Florø 6 3 3 19:14 21
7 Asker 6 3 3 18:17 21
8 Odd 2-DELETED 6 1 4 29:15 19
9 Elverum-DELETED 6 1 4 21:15 19
10 Sotra-DELETED 5 2 5 16:14 17
11 Oppsal 4 5 3 18:20 17
12 Baerum-DELETED 4 4 4 18:24 16
13 Senja-DELETED 3 4 4 18:14 13
14 Mjølner-DELETED 3 3 5 9:17 12

Group 2

P Team W D L Goals PO
1 Grorud 6 4 2 15:13 22
2 Asker 5 4 3 16:11 19
3 Kjelsås 5 3 4 21:19 18
4 Asane 5 2 5 27:22 17
5 Fram-DELETED 4 3 4 17:16 15
6 Sotra-DELETED 3 4 4 14:16 13
7 Baerum-DELETED 3 4 4 19:23 13
8 Florø 2 5 5 13:22 11
9 Alta-DELETED 2 2 7 10:23 8
10 Senja-DELETED 2 2 8 7:30 8
11 Odd 2-DELETED 2 1 9 13:25 7
12 Elverum-DELETED 1 3 8 9:22 6
13 Mjølner-DELETED 1 2 9 15:32 5
14 Oppsal 1 1 10 10:35 4

Norway Division 3 Group 3

  • Overall
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  • Away

Group 3

P Team W D L Goals PO
1 Vard Haugesund 7 2 1 26:15 23
2 Os 7 0 3 33:20 21
3 Askøy 5 4 1 16:14 19
4 Sogndal 2 6 0 3 28:13 18
5 Brann 2 5 3 2 24:14 18
6 Djerv 1919 4 4 2 18:12 16
7 Førde 5 0 5 15:22 15
8 Fana 4 1 5 21:20 13
9 Åsane Fotball 2 2 4 4 14:17 10
10 Gneist 3 1 6 24:30 10
11 Stord 2 4 4 20:26 10
12 Austevoll 2 4 4 22:30 10
13 Fyllingsdalen 1 2 7 12:30 5
14 Varegg 1 1 7 10:20 4

Group 3

P Team W D L Goals PO
1 Os 5 0 0 24:6 15
2 Vard Haugesund 5 0 0 21:6 15
3 Brann 2 4 0 1 17:6 12
4 Askøy 3 2 0 9:3 11
5 Førde 3 0 2 8:8 9
6 Djerv 1919 2 2 1 8:7 8
7 Fana 2 1 2 10:8 7
8 Sogndal 2 2 0 2 8:6 6
9 Gneist 2 0 3 16:17 6
10 Austevoll 1 2 2 8:13 5
11 Varegg 1 1 3 4:8 4
12 Fyllingsdalen 1 1 3 7:12 4
13 Stord 0 3 2 12:15 3
14 Åsane Fotball 2 0 3 2 6:10 3

Group 3

P Team W D L Goals PO
1 Sogndal 2 4 0 1 20:7 12
2 Djerv 1919 2 2 1 10:5 8
3 Askøy 2 2 1 7:11 8
4 Vard Haugesund 2 2 1 5:9 8
5 Åsane Fotball 2 2 1 2 8:7 7
6 Stord 2 1 2 8:11 7
7 Fana 2 0 3 11:12 6
8 Brann 2 1 3 1 7:8 6
9 Os 2 0 3 9:14 6
10 Førde 2 0 3 7:14 6
11 Austevoll 1 2 2 14:17 5
12 Gneist 1 1 3 8:13 4
13 Fyllingsdalen 0 1 4 5:18 1
14 Varegg 0 0 4 6:12 0

Norway Division 3 Group 1

  • Overall
  • Home
  • Away

Group 1

P Team W D L Goals PO
1 Asker 8 1 1 35:11 25
2 IF Ready 6 4 0 29:13 22
3 Gamle Oslo 6 1 3 37:23 19
4 Heming 6 1 3 23:15 19
5 Baerum 6 0 4 29:18 18
6 FK Union Carl Berner 6 0 4 18:12 18
7 Frigg 5 1 4 25:20 16
8 Valerenga 2 4 1 5 20:31 13
9 Ullern 3 1 6 16:24 10
10 Nordstrand 3 1 6 14:23 10
11 KFUM 2 3 1 6 18:30 10
12 Konnerud 3 0 7 16:24 9
13 Grei 2 1 7 19:35 7
14 Lokomotiv Oslo 2 1 7 16:36 7

Group 1

P Team W D L Goals PO
1 IF Ready 4 1 0 17:5 13
2 Asker 4 0 1 17:4 12
3 Gamle Oslo 3 1 2 23:15 10
4 Heming 3 1 1 10:4 10
5 Baerum 3 0 2 15:10 9
6 Konnerud 3 0 2 12:10 9
7 Valerenga 2 3 0 2 11:14 9
8 Frigg 2 1 3 14:14 7
9 Nordstrand 2 1 2 9:11 7
10 FK Union Carl Berner 2 0 2 4:7 6
11 KFUM 2 2 0 3 8:14 6
12 Grei 1 1 3 14:19 4
13 Ullern 1 1 3 7:13 4
14 Lokomotiv Oslo 1 0 3 2:12 3

Group 1

P Team W D L Goals PO
1 Asker 4 1 0 18:7 13
2 FK Union Carl Berner 4 0 2 14:5 12
3 Baerum 3 0 2 14:8 9
3 Gamle Oslo 3 0 1 14:8 9
5 Frigg 3 0 1 11:6 9
6 IF Ready 2 3 0 12:8 9
7 Heming 3 0 2 13:11 9
8 Ullern 2 0 3 9:11 6
9 KFUM 2 1 1 3 10:16 4
10 Valerenga 2 1 1 3 9:17 4
11 Lokomotiv Oslo 1 1 4 14:24 4
12 Nordstrand 1 0 4 5:12 3
13 Grei 1 0 4 5:16 3
14 Konnerud 0 0 5 4:14 0

Norway Division 3 Group 2

  • Overall
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  • Away

Group 2

P Team W D L Goals PO
1 Melhus 6 3 1 27:13 21
2 Herd 6 2 2 24:15 20
3 Volda 5 2 3 25:16 17
4 Kvik Trondheim 5 2 4 23:20 17
5 Byåsen 5 1 4 19:21 16
6 Rosenborg 2 4 2 4 21:18 14
7 Strindheim 4 2 4 24:23 14
8 Spjelkavik 3 4 3 18:17 13
9 NTNUI 3 4 4 17:22 13
10 Molde 2 3 3 4 24:29 12
11 Orkla 3 2 5 16:23 11
12 Ranheim 2 2 4 4 25:26 10
13 Aalesunds FK 2 3 1 6 17:31 10
14 Nardo 2 2 6 18:24 8

Group 2

P Team W D L Goals PO
1 Rosenborg 2 3 1 1 14:5 10
2 Herd 3 1 1 13:7 10
3 Volda 3 0 2 14:9 9
4 Ranheim 2 2 3 1 17:15 9
5 Strindheim 3 0 2 13:11 9
6 Byåsen 3 0 2 8:8 9
7 Melhus 2 2 0 12:5 8
8 Molde 2 2 2 0 14:10 8
9 NTNUI 2 2 3 10:14 8
10 Nardo 2 1 2 11:8 7
11 Kvik Trondheim 2 1 2 10:8 7
12 Orkla 2 1 3 10:15 7
13 Spjelkavik 1 3 1 8:6 6
14 Aalesunds FK 2 1 0 3 8:15 3

Group 2

P Team W D L Goals PO
1 Melhus 4 1 1 15:8 13
2 Herd 3 1 1 11:8 10
3 Kvik Trondheim 3 1 2 13:12 10
4 Volda 2 2 1 11:7 8
5 Spjelkavik 2 1 2 10:11 7
6 Byåsen 2 1 2 11:13 7
7 Aalesunds FK 2 2 1 3 9:16 7
8 Strindheim 1 2 2 11:12 5
9 NTNUI 1 2 1 7:8 5
10 Orkla 1 1 2 6:8 4
11 Rosenborg 2 1 1 3 7:13 4
12 Molde 2 1 1 4 10:19 4
13 Ranheim 2 0 1 3 8:11 1
14 Nardo 0 1 4 7:16 1

Oppsal Upcoming games

Kick-Off Home Away 1x2 Drop Current Home Asian Handicap Goal Line Asian Corners Actions
29-08 13:00 Rælingen - Oppsal
0%
-
-
-
 70%10 - 70%10
70% 		0.90 - 0.90
05-09 14:00 Sandefjord 2 - Oppsal
0%
-
-
-
 80%10 - 70%10
75% 		1.15 - 0.90
12-09 12:00 Oppsal - Fram
0%
-
-
-
 70%10 - 90%10
80% 		0.90 - 1.65
19-09 13:00 Ørn Horten - Oppsal
0%
-
-
-
 70%10 - 70%10
70% 		0.55 - 0.90
26-09 12:00 Oppsal - Brumunddal
0%
-
-
-
 70%10 - 80%10
75% 		0.90 - 3.45
03-10 12:00 Lillehammer - Oppsal
0%
-
-
-
 80%10 - 70%10
75% 		1.05 - 0.90
10-10 12:00 Oppsal - Drøbak/Frogn
0%
-
-
-
 70%10 - 60%10
65% 		0.90 - 2.10
17-10 12:00 Gjøvik-Lyn - Oppsal
0%
-
-
-
 50%10 - 70%10
60% 		1.85 - 0.90

Oppsal Previous games

  • Main (5)

Win rate of last "X" number of games covering the "Asian Handicap"

5 0% 0.00
10 0% 0.00
15 0% 0.00
All 0% 0.00

Win rate of last "X" number of games covering the "Goal line"

5 0% 0.00
10 0% 0.00
15 0% 0.00
All 0% 0.00

* - Average difference from opening line

Win rate of last "X" number of games covering the "Asian Corners"

5 0% 0.00
10 0% 0.00
15 0% 0.00
All 0% 0.00
Show Home (X) Show Away (X) Show 1st half stats
Date Home Score Away 1x2 Drop Home Asian Handicap Goal Line Asian Corners Dangerous Attacks Total Shots Shots on Target Corners     
W 08-08-2026 12:00 1 [14] Bjørkelangen 0 - 1 Oppsal [7] 1
S: - 4.75 ?
K: ?4.50 -
 8%
?
1.900
-
?
-
?-?

10-8

?-?

7-8

Open single page
D 27-07-2026 17:00 1 1 [9] Lyn 1896 II 2 - 2 Oppsal [7] 2
S: - 4.20 ?
K: ?5.00 -
 15%
?
1.875
-
?
?
1.975, 1.825
?-?

13-14

?-?

2-5

Open single page
W 27-06-2026 12:00 1 [8] Oppsal 3 - 1 Rælingen [6] 1
S: - 4.20 ?
K: ?4.50 -
 14%
?
1.975
-
?
?
1.800, 2.000
?-?

15-8

?-?

6-5

Open single page

Last notifications

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Oppsal Squad

Nr. Name Country Birthdate Position Height Weight Foot
- Florind. Lokaj 2002-06-08 Midfielder - - -
- Dharmesh Navaratnam 2005-10-06 - - - -
12 Gharib Osman Gerkondani 1998-03-02 Forward 179 - Both
1 Jakob Rekdahl Faye-Lund 1994-09-15 Guard - - -
8 Hakon Snorressonn Waehler - - - - - -
25 Kristoffer Hager - - - - - -
21 Sami Loulanti - - - - - -
18 Haakon Engelsen Berg - - - - - -
15 Marius Nordskag Lovhaug - - - - - -
2 Mats Ulvund Paulsberg 1993-06-03 Defender - - -
5 Christer Johansen 1990-06-21 Defender - - -
1 Jacob Rekdahl Faye Lund - - - - - -
22 Ken Christensen - - - - - -
16 Amar Haram Babic - - - - - -
15 Mikdad Cedra Kaddour - - - - - -
14 Nidal Loulanti - - - - - -
24 Hamza Bajja - - - - - -
12 Sondre Molsaeter 1993-01-21 Defender - - -
6 Thomas Rath Hasle 1991-11-25 Defender - - -
24 Benjamin Skjonvold Gabrielsen - - - - -
17 Marcus Jan-Erik Rosendal 1992-05-30 - - - -
13 Mats Thomassen Kristiansen 1991-06-25 - - - -
19 Mats Winsnes 1994-11-10 - - - -
11 Adrian Fritzoe Ostman 1992-10-27 - - - -
4 Mikkel Klein Gulbrandsen 1990-11-30 - - - -
17 Mads Andre Ringvold - - - - -
14 Fredrik Osterberg Thapper - - - - -
13 Sebastian Maira Johansen - - - - -
9 Wilhelm Osman Adra 1992-02-17 Midfielder 180 - Left
10 Kristian Bjorseth 1992-06-05 Midfielder - - -
3 Nicholas Edgren 1994-01-28 Defender - - -

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    Complete match statistics including corners, shots, Asian handicap data, head-to-head records, and betting odds comparison.

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Frequently Asked Questions

Everything you need to know about football betting statistics, live scores, and using BetBallers effectively

What statistics and features does BetBallers provide for football betting?

BetBallers is a comprehensive tool designed for football bettors to enhance in-play and pre-game betting performance. The platform provides:

  • Live Match Statistics: Real-time stats including dangerous attacks, corners, shots, and pressure index for all in-play matches
  • Likelihood Stats: Color-coded system covering all markets from First Half Overs to Corners, making it easy to spot whether odds are backed by statistics
  • Variance Stats: Shows average differences from starting lines for Asian Handicap, Goal Line, and Asian Corners to identify mispriced teams in seconds
  • Comeback Factor: Measures how effectively teams recover after falling behind by tracking how often they score the next goal
  • xG Stats: Expected goals available on both match pages and in-play pages within the likelihood stats column
  • Pressure Index: Combines dangerous attacks, total shots, and corners to measure which team is dominating the match

The platform features a customizable and user-friendly layout with the best coverage of games to ensure you never miss potential betting opportunities.

How does the BetBallers notification system work?

BetBallers offers a powerful notification system that significantly reduces the chance of missing potential bets:

  • Custom Notifications: Create pre-set or fully customizable notifications using combinations of real-time stats, likelihood stats, averages, and odds
  • Automated Scanning: The system automatically scans all in-play games and alerts you when your criteria is met
  • Visual Alerts: Notifications appear on the top right corner when matches meet your set criteria
  • Results Tracking: The system tracks all notifications received with results easily filterable by different options

Example notification: Alert for home underdogs losing by 1 goal but with 66%+ Pressure Index, Asian Handicap +0.5, and kick-off odds under 5.00. This specific notification has achieved a 71% win rate (52 wins, 21 losses) in backtesting.

What is the Backtesting System and how does it work?

The Backtesting System is a game-changing feature that validates your in-play betting strategies in minutes instead of waiting months for results:

  • Massive Data Analysis: Every test analyzes the last 100,000 finished games (approximately 5-6 months of matches) from the database
  • Live Scenario Simulation: Simulates live betting scenarios based on your custom notification rules for each game
  • Retrospective Likelihood Stats: Each game's likelihood stats are calculated retrospectively from that particular match for accurate testing
  • Results in Minutes: Get comprehensive backtest results in minutes or even seconds, depending on your rule complexity
  • Advanced Filtering: Filter results by Asian Handicap, Goal Line, Asian Corners, specific days, goals scored within 2 minutes, or missing dangerous attacks

The backtesting system excludes E-Soccer, Beach Soccer, and other shortened matches to ensure data quality. This feature is available to all Gold-Ballers subscription users (1, 3, or 6-month plans).

How does the AI Assistant enhance betting decisions?

BetBallers' AI Assistant helps identify the best value bets and provides quick match insights to enhance your betting strategy:

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  • Live Match Intelligence: Each live game includes an AI assistant tab providing real-time analysis based on your customized dataset preferences
  • Quick Match Overviews: Get instant summaries of match situations without manually reviewing all statistics

The AI Assistant helps you make faster, more informed betting decisions by processing complex statistical relationships that would be time-consuming to analyze manually.

What is the Comeback Factor and how can I use it for betting?

The Comeback Factor is a unique BetBallers metric that measures how effectively a team can recover after falling behind in a match:

  • What it measures: Tracks how often a team scores the next goal after the opponent has taken the lead
  • How it works: Every time a team falls behind, the system records whether they manage to score the next goal or not
  • Enhanced accuracy: You can exclude 0-0 games from calculations for more accurate statistics (feature added January 2025)
  • Transparency: Hover over any Comeback Factor stat to see the complete list of games used in the calculation

Use the Comeback Factor to identify teams with strong resilience when trailing, creating valuable in-play betting opportunities when these teams fall behind. The enhanced statistics are available across multiple pages including team profiles and head-to-head comparisons.

How do Likelihood Stats help identify value bets?

Likelihood Stats are one of BetBallers' most powerful features, using an eye-catching color-coding system to show whether current odds are backed by historical statistics:

  • Comprehensive Market Coverage: Covers all possible markets from First Half Overs to Corners and everything in between
  • Color-Coded Indicators: Visual system makes it easy to spot at a glance whether odds represent good value or not
  • Historical Validation: Shows how current match statistics compare to historical performance patterns
  • In-Play Integration: Now includes xG stats directly in the likelihood stats column for even more insights

Combine Likelihood Stats with live statistics to avoid situations where real-time stats aren't backed up by historical performance. This dual approach helps identify genuinely profitable betting opportunities rather than statistical anomalies.

What are Variance Stats and how do they identify mispriced teams?

Variance Stats (also called Error Stats) show the average difference from starting lines, helping you identify mispriced teams in seconds:

  • Asian Handicap Variance: Shows which teams consistently outperform or underperform their handicap lines
  • Goal Line Variance: Identifies teams whose matches regularly go over or under expected totals
  • Asian Corners Variance: Reveals teams that generate more or fewer corners than bookmakers expect
  • Quick Identification: Find the most mispriced teams in your league or competition instantly

Variance Stats help you exploit consistent market inefficiencies by showing which teams the bookmakers systematically misprice across the most popular betting markets.

What is the Pressure Index and how is it calculated?

The Pressure Index is a composite statistic that measures which team is dominating a match by combining multiple attacking metrics:

  • Dangerous Attacks: Genuine scoring opportunities where the attacking team gets into dangerous positions
  • Total Shots: All shot attempts including both on-target and off-target efforts
  • Corners: Corner kicks awarded, indicating sustained attacking pressure
  • Percentage Display: Shows as a percentage (e.g., 66% means one team has twice the combined attacking stats)

Use Pressure Index in custom notifications to identify matches where one team is dominating but hasn't scored yet. For example, a notification for home teams with 66%+ Pressure Index while losing 1-0 achieved a 71% win rate in backtesting across 100,000 games.

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All Gold-Baller subscriptions include:

  • Live scores and in-play statistics for all major leagues
  • Custom notification system with unlimited alerts
  • Backtesting system (100,000 games analysis)
  • AI Assistant for schedule and live match analysis
  • Likelihood Stats with color-coding for all markets
  • Variance Stats for Asian Handicap, Goal Line, and Corners
  • Comeback Factor and Pressure Index statistics
  • xG Stats on match and in-play pages

Note: The 2-day trial does not include access to the backtesting system. Backtesting is only available with 1, 3, or 6-month Gold-Baller subscriptions.

What are xG (Expected Goals) stats and how can I use them for betting?

Expected Goals (xG) is an advanced metric that measures the quality of scoring chances by calculating the probability that a shot will result in a goal:

  • Available on Multiple Pages: View xG stats on both the match page and the in-play page for comprehensive analysis
  • Likelihood Stats Integration: Enable xG display to see these valuable insights directly in the likelihood stats column during live matches
  • Quality vs Quantity: xG reveals whether a team is creating genuine scoring opportunities or just accumulating low-quality shots
  • Value Betting Indicator: When a team has high xG but hasn't scored, it often indicates the score doesn't reflect match dominance

How to use xG for in-play betting:

  • Compare xG to actual score - if Team A has 2.3 xG but is losing 0-1, they may be unlucky and due for goals
  • Look for xG gaps between teams - a 1.5+ xG difference suggests one team is creating significantly better chances
  • Combine with Pressure Index - high xG plus 66%+ Pressure Index confirms genuine dominance
  • Use in notifications - create alerts for matches where xG doesn't match the scoreline for value betting opportunities

xG stats were added to the in-play page in August 2024, making BetBallers one of the few platforms to provide real-time expected goals data during live matches for immediate betting decisions.

How do I create effective custom notifications using BetBallers?

Creating effective custom notifications involves combining different statistics and using the backtesting system to validate profitability:

  • Mix Different Stats: Combine real-time stats, likelihood stats, averages, and odds for more accurate filtering
  • Use Likelihood Validation: Include likelihood stats to ensure real-time performance is backed by historical patterns
  • Test Thoroughly: Run backtests on your notifications to validate profitability across 100,000 historical matches
  • Refine and Iterate: If results are unsatisfactory, tweak your rules and run backtests again until you find winning combinations
  • Filter Results: Use filters to exclude games with incomplete stats or where goals were scored within 2 minutes of notification

Example winning notification:

Home underdog, losing by 1 goal, with 66%+ Pressure Index, current Asian Handicap +0.5 (minimum odds 1.80), and kick-off 1X2 odds under 5.00. This achieved 71% win rate (52 wins from 73 matches).

Fine-tuning takes time, but the backtesting system dramatically speeds up the process by providing instant validation instead of waiting months for real-world results.