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Denmark Division 3

Denmark Division 3 football statistics on BetBallers: league standings, results and team stats from 1,072 tracked games, upcoming fixtures with live 1x2 odds, Asian Handicap lines and AI predictions.

  • Statistics
  • League table
  • Previous Games
  • Upcoming games
  • Today's AI Predictions
  • Mutual opponents

Denmark Division 3 Statistics

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Denmark Division 3 (2026-10-30 - 2026-11-06) Overall Averages

Goals Dangerous Attacks Attacks Corners On-target Shots Off-target Shots Total Shots
? 46.50 ? 4.08 ? 5.17 ?

Team Statistics (10/30/2026 - 11/06/2026) conceded

Team name Goals Dangerous Attacks Attacks Corners On-target Shots Off-target Shots Total Shots
FC Helsingor ? 0.00 46.00 ? ? 79.00 4.00 ? ? 0.00 2.00 ? ? 2.00
Frem ? 2.00 79.00 ? ? 29.00 6.00 ? ? 5.00 7.00 ? ? 15.00
Bronshoj BK ? 1.00 35.00 ? ? 107.00 2.00 ? ? 7.00 9.00 ? ? 11.00
Næsby ? 2.00 57.00 ? ? 73.00 2.00 ? ? 4.00 4.00 ? ? 13.00
Vanløse ? 0.00 31.00 ? ? 112.00 4.00 ? ? 3.00 3.00 ? ? 9.00
Holbæk ? 1.00 56.00 ? ? 73.00 3.00 ? ? 3.00 6.00 ? ? 6.00
Sundby ? 3.00 42.00 ? ? 73.00 1.00 ? ? 15.00 2.00 ? ? 20.00
Holstebro ? 3.00 23.00 ? ? 68.00 1.00 ? ? 13.00 3.00 ? ? 22.00
Ringsted IF ? 1.00 27.00 ? ? 86.00 2.00 ? ? 4.00 2.00 ? ? 6.00
Ishoj ? 0.00 51.00 ? ? 38.00 6.00 ? ? 0.00 9.00 ? ? 3.00
ASA Aarhus ? 2.00 64.00 ? ? 37.00 7.00 ? ? 5.00 10.00 ? ? 12.00
Horsholm-Usserod IK ? 2.00 47.00 ? ? 66.00 11.00 ? ? 6.00 5.00 ? ? 8.00

Variance Average difference from opening line

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Advantage (10/30/2026 - 11/06/2026)

  • Home
  • Away
Team name GF GA Number of Games Advantage
ASA Aarhus 2 2 1 0.00
Frem 0 0 0 -
Bronshoj BK 2 1 1 1.00
Næsby 0 0 0 -
Horsholm-Usserod IK 3 2 1 1.00
Sundby 0 0 0 -
Holbæk 0 1 1 -1.00
Vanløse 0 0 0 -
Ishoj 3 0 1 3.00
Holstebro 0 0 0 -
FC Helsingor 1 0 1 1.00
Ringsted IF 0 0 0 -
Team name GF GA Number of Games Advantage
ASA Aarhus 0 0 0 -
Frem 2 2 1 0.00
Bronshoj BK 0 0 0 -
Næsby 1 2 1 -1.00
Horsholm-Usserod IK 0 0 0 -
Sundby 2 3 1 -1.00
Holbæk 0 0 0 -
Vanløse 1 0 1 1.00
Ishoj 0 0 0 -
Holstebro 0 3 1 -3.00
FC Helsingor 0 0 0 -
Ringsted IF 0 1 1 -1.00

Overall Advantage (10/30/2026 - 11/06/2026)

Team name GF GA Number of Games Advantage
Home 11 6 6 0.83
Away 6 11 6 -0.83

Denmark Division 3 League table

Denmark Division 3

  • Overall
  • Home
  • Away

3. Division 26/27

P Team W D L Goals PO
1 Holbæk 9 2 3 32:20 29
2 Bronshoj BK 8 4 2 29:17 28
3 Vanløse 7 6 1 20:11 27
4 FC Helsingor 7 3 4 22:17 24
5 Horsholm-Usserod IK 6 4 4 32:24 22
6 Næsby 5 3 6 24:22 18
7 Ishoj 5 3 6 17:22 18
8 ASA Aarhus 5 2 7 18:21 17
9 Sundby 5 1 8 23:24 16
10 Frem 3 6 5 23:23 15
11 Holstebro 4 1 9 18:37 13
12 Ringsted IF 1 3 10 17:37 6

3. Division 26/27

P Team W D L Goals PO
1 FC Helsingor 6 1 0 14:5 19
2 Holbæk 6 0 1 18:8 18
3 Bronshoj BK 5 2 1 18:10 17
4 Vanløse 4 3 0 10:3 15
5 ASA Aarhus 4 2 1 13:7 14
6 Horsholm-Usserod IK 4 2 2 15:11 14
7 Næsby 3 3 1 14:9 12
8 Frem 3 2 1 12:8 11
9 Sundby 3 1 2 12:9 10
10 Ishoj 3 1 3 10:14 10
11 Holstebro 2 1 4 11:18 7
12 Ringsted IF 1 1 5 9:17 4

3. Division 26/27

P Team W D L Goals PO
1 Vanløse 3 3 1 10:8 12
2 Bronshoj BK 3 2 1 11:7 11
3 Holbæk 3 2 2 14:12 11
4 Horsholm-Usserod IK 2 2 2 17:13 8
5 Ishoj 2 2 3 7:8 8
6 Næsby 2 0 5 10:13 6
7 Sundby 2 0 6 11:15 6
8 Holstebro 2 0 5 7:19 6
9 FC Helsingor 1 2 4 8:12 5
10 Frem 0 4 4 11:15 4
11 ASA Aarhus 1 0 6 5:14 3
12 Ringsted IF 0 2 5 8:20 2

Denmark Division 3 Previous Games

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Denmark Division 3 Upcoming games

Kick-Off Home Away 1x2 Drop Current Home Asian Handicap Goal Line Asian Corners Actions
06-11 18:00 Holbæk - Bronshoj BK
Start. 2.05 3.70 2.80
Last 2.053.70 2.80
 0%
-0.25
1.875
3.0
1.800, 2.000
9.5
1.900, 1.900
80%10 - 80%10
80% 		0.75 - 1.05
06-11 18:00 Sundby - FC Helsingor
Start. 2.55 3.60 2.25
Last 2.703.60 2.15
 4%
0.25
1.850
2.5,3.0
1.775, 2.025
-
 70%10 - 60%10
65% 		0.70 - 0.55
07-11 13:00 Vanløse - Horsholm-Usserod IK
Start. 1.83 3.80 3.30
Last 1.803.80 3.40
 1%
-0.5
1.850
2.5,3.0
1.875, 1.925
-
 40%10 - 90%10
65% 		0.40 - 1.35
07-11 13:00 Næsby - ASA Aarhus
Start. 1.75 4.00 3.40
Last 1.754.00 3.40
 0%
-0.5
1.800
3.0
1.900, 1.900
-
 80%10 - 80%10
80% 		1.35 - 0.20
07-11 13:00 Frem - Ishoj
Start. 2.35 3.50 2.45
Last 2.353.50 2.45
 0%
0
1.850
2.5,3.0
1.825, 1.975
-
 80%10 - 90%10
85% 		0.65 - 1.05
07-11 13:30 Holstebro - Ringsted IF
Start. 1.95 4.10 2.80
Last 1.904.20 2.90
 2%
-0.5
1.950
3.0
1.975, 1.825
-
 70%10 - 80%10
75% 		2.65 - 0.85
13-11 18:00 FC Helsingor - Holstebro
0%
-
-
-
 60%10 - 70%10
65% 		0.55 - 2.65
14-11 12:00 Ringsted IF - Frem
0%
-
-
-
 80%10 - 80%10
80% 		0.85 - 0.65
14-11 12:00 Ishoj - Sundby
0%
-
-
-
 90%10 - 70%10
80% 		1.05 - 0.70
14-11 13:00 Horsholm-Usserod IK - Næsby
0%
-
-
-
 90%10 - 80%10
85% 		1.35 - 1.35
14-11 13:00 Bronshoj BK - Vanløse
0%
-
-
-
 80%10 - 40%10
60% 		1.05 - 0.40
14-11 14:00 ASA Aarhus - Holbæk
0%
-
-
-
 80%10 - 80%10
80% 		0.20 - 0.75

Today's AI Predictions

Time Home Score Away Bet Probability Reasoning
06-11-2026 18:00 Holbæk - Bronshoj BK Over 3 Goals 82% Expected full-time total is (2.20+1.50)/2 + (2.40+1.50)/2 = 3.80, clearing the 3.0 line by 0.80; Holbæk are 6/10 Over 3.0 and Bronshoj 5/10 with two pushes, while mutual-opponent total is 3.55 and Holbæk lead 5/5 stat comparisons. Bronshoj have conceded 2+ in each of their last five listed away games (3,2,2,4,5) and 5.29 shots on target against in the mutual sample, supporting the Over; H2H is only two games (1-4, 0-2) and neutral, and bookmaker mispricing is mild (GL_5 1.15/1.35), so the standard 82% ceiling applies.
06-11-2026 18:00 Sundby - FC Helsingor Sundby 0 Asian Handicap (level ball) 67% Sundby are a venue-split side that the level-ball price undervalues: at home in the league they are 3W-1D-2L with 12 goals for / 9 against across six games, while FC Helsingor away are 1W-2D-4L with 8 scored / 12 conceded in seven, losing at Ishoj, Horsholm and Bronshoj. The handicap records point the same way — Sundby have covered in 5 of their last 10 AH markets against Helsingor's 3 of 10 (and Helsingor have covered a level/plus line in only one of their five most recent away games). Against shared opposition Sundby hold a clear edge (goal NET +0.62 vs -0.66, and 5W-1D-2L vs 1W-1D-4L), while the single H2H (Helsingor 2-1 at home in September) is too small a sample to weigh against that. Goal-line and corners markets offer no qualifying value: the 3.0 line sits exactly on the 3.00 expected total with only 40%/20% venue Over-3 rates, the 1.25 first-half line is contradicted by Helsingor's 0 first-half goals in five away games, and no Asian Corners line is posted, so the handicap is the highest-confidence market at 65-69% on the two-of-three signal tier.

Mutual Opponents Comparison

Today's and tomorrow's games of this league; hover any value to see how it is calculated.

Kick-Off Teams Asian Handicap Expected Goals Diff
(AH Error)		 Goal Line Expected Goals
(Error)		 Mutual Games W-D-L Avg. Goals
(F | A)		 Goals to shots ratio
(F | A)		 Avg. Total Shots
(F | A)		 Avg. Shots on target
(F | A)		 Avg. Dangerous Attacks
(F | A)		 Actions
06-11 18:00 Holbæk
Bronshoj BK
-0.25
(1.88)
-
3.0
1.800, 2.000
3.60
+0.60
Each side's scored + conceded average is already a full-game total, so the two sides are averaged:
(2.80 + 1.20 + 1.80 + 1.40) / 2 = 3.60
Error: 3.60 - Goal line 3.00 = +0.60
OpponentHolbækBronshoj BK
VanløseL 0-1 H 31-10-26D 1-1 A 26-09-26
HolstebroW 4-0 H 17-10-26W 4-2 A 10-10-26
Ringsted IFW 5-2 H 18-09-26W 3-1 A 13-09-26
NæsbyW 3-2 H 29-08-26D 0-0 A 15-08-26
SundbyW 2-1 H 15-08-26L 1-3 A 23-10-26
Avg. Goals (F | A)2.80 - 1.201.80 - 1.40
 		5
5
Venue-matched games against shared opponents within the last year - the home team counted only at home, the away team only away. All averages below are taken over these games.
OpponentHolbækBronshoj BK
VanløseL 0-1 H 31-10-26D 1-1 A 26-09-26
HolstebroW 4-0 H 17-10-26W 4-2 A 10-10-26
Ringsted IFW 5-2 H 18-09-26W 3-1 A 13-09-26
NæsbyW 3-2 H 29-08-26D 0-0 A 15-08-26
SundbyW 2-1 H 15-08-26L 1-3 A 23-10-26
Avg. Goals (F | A)2.80 - 1.201.80 - 1.40
 		401
221
Wins - draws - losses in the mutual games; home team on the first line, away below. A mirror pattern (3+ wins vs 3+ losses) activates the Expected Goals Diff column. 		2.80 | 1.20
1.80 | 1.40
Goals scored | conceded per game, averaged over the team's mutual games. Green = better net (For - Against) than the opponent.		 4.71 | 4.83
7.22 | 7.14
Shots needed per goal: total shots divided by goals over the mutual games, For | Against. Lower is better - green = better net than the opponent.		 13.20 | 5.80
13.00 | 10.00
Shots taken | allowed per game (on + off target), averaged over the mutual games.		 8.20 | 3.60
6.60 | 3.80
Shots on target taken | allowed per game, averaged over the mutual games.		 53.20 | 34.40
49.20 | 33.00
Dangerous attacks made | allowed per game, averaged over the mutual games.
06-11 18:00 Sundby
FC Helsingor
0.25
(1.85)
+1.10
+1.35
Mirror matchup - expected goals from the league's shot volume and each side's shots-per-goal ratios:
League avg. total shots: 10.81
Home: 10.81 / ((4.69 + 5.10) / 2) = 2.21
Away: 10.81 / ((9.44 + 10.00) / 2) = 1.11
Diff: 2.21 - 1.11 = +1.10
Error: +1.10 + AH line 0.25 = +1.35
2.5,3.0
1.775, 2.025
3.80
+1.05
Each side's scored + conceded average is already a full-game total, so the two sides are averaged:
(2.60 + 1.80 + 1.20 + 2.00) / 2 = 3.80
Error: 3.80 - Goal line 2.75 = +1.05
OpponentSundbyFC Helsingor
Bronshoj BKW 3-1 H 23-10-26L 1-2 A 04-09-26
IshojL 2-3 H 09-10-26L 0-1 A 17-10-26
HolstebroW 2-0 H 19-09-26L 1-2 A 22-08-26
Horsholm-Usserod IKD 4-4 H 22-08-26L 1-3 A 03-10-26
Ringsted IFW 2-1 H 25-07-26W 3-2 A 08-08-26
Avg. Goals (F | A)2.60 - 1.801.20 - 2.00
 		5
5
Venue-matched games against shared opponents within the last year - the home team counted only at home, the away team only away. All averages below are taken over these games.
OpponentSundbyFC Helsingor
Bronshoj BKW 3-1 H 23-10-26L 1-2 A 04-09-26
IshojL 2-3 H 09-10-26L 0-1 A 17-10-26
HolstebroW 2-0 H 19-09-26L 1-2 A 22-08-26
Horsholm-Usserod IKD 4-4 H 22-08-26L 1-3 A 03-10-26
Ringsted IFW 2-1 H 25-07-26W 3-2 A 08-08-26
Avg. Goals (F | A)2.60 - 1.801.20 - 2.00
 		311
104
Wins - draws - losses in the mutual games; home team on the first line, away below. A mirror pattern (3+ wins vs 3+ losses) activates the Expected Goals Diff column. 		2.60 | 1.80
1.20 | 2.00
Goals scored | conceded per game, averaged over the team's mutual games. Green = better net (For - Against) than the opponent.		 4.69 | 9.44
10.00 | 5.10
Shots needed per goal: total shots divided by goals over the mutual games, For | Against. Lower is better - green = better net than the opponent.		 12.20 | 17.00
12.00 | 10.20
Shots taken | allowed per game (on + off target), averaged over the mutual games.		 7.60 | 8.00
4.80 | 5.40
Shots on target taken | allowed per game, averaged over the mutual games.		 41.40 | 48.00
45.20 | 34.40
Dangerous attacks made | allowed per game, averaged over the mutual games.
07-11 13:00 Vanløse
Horsholm-Usserod IK
-0.5
(1.85)
-
2.5,3.0
1.875, 1.925
3.00
+0.25
Each side's scored + conceded average is already a full-game total, so the two sides are averaged:
(1.20 + 1.00 + 1.40 + 2.40) / 2 = 3.00
Error: 3.00 - Goal line 2.75 = +0.25
OpponentVanløseHorsholm-Usserod IK
ASA AarhusW 1-0 H 24-10-26L 1-2 A 26-09-26
NykobingL 0-2 H 21-10-26L 0-4 A 17-05-26
Bronshoj BKD 1-1 H 26-09-26L 1-3 A 25-04-26
FremD 2-2 H 29-08-26D 1-1 A 07-08-26
Ringsted IFW 2-0 H 22-08-26W 4-2 A 10-10-26
Avg. Goals (F | A)1.20 - 1.001.40 - 2.40
 		5
5
Venue-matched games against shared opponents within the last year - the home team counted only at home, the away team only away. All averages below are taken over these games.
OpponentVanløseHorsholm-Usserod IK
ASA AarhusW 1-0 H 24-10-26L 1-2 A 26-09-26
NykobingL 0-2 H 21-10-26L 0-4 A 17-05-26
Bronshoj BKD 1-1 H 26-09-26L 1-3 A 25-04-26
FremD 2-2 H 29-08-26D 1-1 A 07-08-26
Ringsted IFW 2-0 H 22-08-26W 4-2 A 10-10-26
Avg. Goals (F | A)1.20 - 1.001.40 - 2.40
 		221
113
Wins - draws - losses in the mutual games; home team on the first line, away below. A mirror pattern (3+ wins vs 3+ losses) activates the Expected Goals Diff column. 		1.20 | 1.00
1.40 | 2.40
Goals scored | conceded per game, averaged over the team's mutual games. Green = better net (For - Against) than the opponent.		 8.00 | 11.40
5.14 | 3.83
Shots needed per goal: total shots divided by goals over the mutual games, For | Against. Lower is better - green = better net than the opponent.		 9.60 | 11.40
7.20 | 9.20
Shots taken | allowed per game (on + off target), averaged over the mutual games.		 4.40 | 4.60
3.40 | 4.40
Shots on target taken | allowed per game, averaged over the mutual games.		 37.60 | 51.00
33.60 | 36.20
Dangerous attacks made | allowed per game, averaged over the mutual games.
07-11 13:00 Næsby
ASA Aarhus
-0.5
(1.80)
-
3.0
1.900, 1.900
2.60
-0.40
Each side's scored + conceded average is already a full-game total, so the two sides are averaged:
(1.20 + 1.20 + 0.60 + 2.20) / 2 = 2.60
Error: 2.60 - Goal line 3.00 = -0.40
OpponentNæsbyASA Aarhus
HolbækL 1-2 H 24-10-26L 1-2 A 03-10-26
VanløseD 2-2 H 17-10-26L 0-1 A 24-10-26
FC HelsingorD 1-1 H 19-09-26L 1-2 A 10-10-26
Bronshoj BKD 0-0 H 15-08-26L 1-5 A 19-09-26
SundbyW 2-1 H 01-08-26L 0-1 A 05-09-26
Avg. Goals (F | A)1.20 - 1.200.60 - 2.20
 		5
5
Venue-matched games against shared opponents within the last year - the home team counted only at home, the away team only away. All averages below are taken over these games.
OpponentNæsbyASA Aarhus
HolbækL 1-2 H 24-10-26L 1-2 A 03-10-26
VanløseD 2-2 H 17-10-26L 0-1 A 24-10-26
FC HelsingorD 1-1 H 19-09-26L 1-2 A 10-10-26
Bronshoj BKD 0-0 H 15-08-26L 1-5 A 19-09-26
SundbyW 2-1 H 01-08-26L 0-1 A 05-09-26
Avg. Goals (F | A)1.20 - 1.200.60 - 2.20
 		131
005
Wins - draws - losses in the mutual games; home team on the first line, away below. A mirror pattern (3+ wins vs 3+ losses) activates the Expected Goals Diff column. 		1.20 | 1.20
0.60 | 2.20
Goals scored | conceded per game, averaged over the team's mutual games. Green = better net (For - Against) than the opponent.		 6.50 | 8.33
12.33 | 4.64
Shots needed per goal: total shots divided by goals over the mutual games, For | Against. Lower is better - green = better net than the opponent.		 7.80 | 10.00
7.40 | 10.20
Shots taken | allowed per game (on + off target), averaged over the mutual games.		 4.20 | 5.20
3.00 | 5.00
Shots on target taken | allowed per game, averaged over the mutual games.		 32.20 | 32.60
39.20 | 37.60
Dangerous attacks made | allowed per game, averaged over the mutual games.
07-11 13:00 Frem
Ishoj
0
(1.85)
-
2.5,3.0
1.825, 1.975
3.00
+0.25
Each side's scored + conceded average is already a full-game total, so the two sides are averaged:
(1.60 + 1.80 + 1.00 + 1.60) / 2 = 3.00
Error: 3.00 - Goal line 2.75 = +0.25
OpponentFremIshoj
FC HelsingorD 1-1 H 23-10-26L 0-1 A 28-08-26
SundbyL 0-3 H 26-09-26W 3-2 A 09-10-26
FC RoskildeL 1-2 H 09-09-26L 1-2 A 06-03-26
Ringsted IFW 5-2 H 04-09-26D 1-1 A 24-10-26
Horsholm-Usserod IKD 1-1 H 07-08-26L 0-2 A 15-08-26
Avg. Goals (F | A)1.60 - 1.801.00 - 1.60
 		5
5
Venue-matched games against shared opponents within the last year - the home team counted only at home, the away team only away. All averages below are taken over these games.
OpponentFremIshoj
FC HelsingorD 1-1 H 23-10-26L 0-1 A 28-08-26
SundbyL 0-3 H 26-09-26W 3-2 A 09-10-26
FC RoskildeL 1-2 H 09-09-26L 1-2 A 06-03-26
Ringsted IFW 5-2 H 04-09-26D 1-1 A 24-10-26
Horsholm-Usserod IKD 1-1 H 07-08-26L 0-2 A 15-08-26
Avg. Goals (F | A)1.60 - 1.801.00 - 1.60
 		122
113
Wins - draws - losses in the mutual games; home team on the first line, away below. A mirror pattern (3+ wins vs 3+ losses) activates the Expected Goals Diff column. 		1.60 | 1.80
1.00 | 1.60
Goals scored | conceded per game, averaged over the team's mutual games. Green = better net (For - Against) than the opponent.		 5.13 | 5.44
10.20 | 6.13
Shots needed per goal: total shots divided by goals over the mutual games, For | Against. Lower is better - green = better net than the opponent.		 8.20 | 9.80
10.20 | 9.80
Shots taken | allowed per game (on + off target), averaged over the mutual games.		 3.80 | 3.80
4.20 | 4.00
Shots on target taken | allowed per game, averaged over the mutual games.		 37.00 | 31.40
37.60 | 36.20
Dangerous attacks made | allowed per game, averaged over the mutual games.
07-11 13:30 Holstebro
Ringsted IF
-0.5
(1.95)
-
3.0
1.975, 1.825
4.00
+1.00
Each side's scored + conceded average is already a full-game total, so the two sides are averaged:
(1.80 + 2.40 + 1.00 + 2.80) / 2 = 4.00
Error: 4.00 - Goal line 3.00 = +1.00
OpponentHolstebroRingsted IF
Bronshoj BKL 2-4 H 10-10-26L 1-4 A 17-10-26
IshojL 1-3 H 26-09-26D 2-2 A 03-10-26
FremW 3-2 H 13-09-26L 2-5 A 04-09-26
VanløseL 1-2 H 05-09-26L 0-2 A 22-08-26
FC HelsingorW 2-1 H 22-08-26L 0-1 A 30-10-26
Avg. Goals (F | A)1.80 - 2.401.00 - 2.80
 		5
5
Venue-matched games against shared opponents within the last year - the home team counted only at home, the away team only away. All averages below are taken over these games.
OpponentHolstebroRingsted IF
Bronshoj BKL 2-4 H 10-10-26L 1-4 A 17-10-26
IshojL 1-3 H 26-09-26D 2-2 A 03-10-26
FremW 3-2 H 13-09-26L 2-5 A 04-09-26
VanløseL 1-2 H 05-09-26L 0-2 A 22-08-26
FC HelsingorW 2-1 H 22-08-26L 0-1 A 30-10-26
Avg. Goals (F | A)1.80 - 2.401.00 - 2.80
 		203
014
Wins - draws - losses in the mutual games; home team on the first line, away below. A mirror pattern (3+ wins vs 3+ losses) activates the Expected Goals Diff column. 		1.80 | 2.40
1.00 | 2.80
Goals scored | conceded per game, averaged over the team's mutual games. Green = better net (For - Against) than the opponent.		 7.67 | 5.83
9.20 | 4.43
Shots needed per goal: total shots divided by goals over the mutual games, For | Against. Lower is better - green = better net than the opponent.		 13.80 | 14.00
9.20 | 12.40
Shots taken | allowed per game (on + off target), averaged over the mutual games.		 7.00 | 5.20
4.40 | 7.20
Shots on target taken | allowed per game, averaged over the mutual games.		 44.60 | 59.40
39.40 | 47.40
Dangerous attacks made | allowed per game, averaged over the mutual games.

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Why Choose BetBallers for Football Betting Statistics?

The most comprehensive football betting platform with live scores, in-play statistics, AI assistant, backtesting tools, and unique analytical features

  • Live Football Scores & In-Play Stats

    Real-time match data with live scores, in-play statistics, dangerous attacks, and pressure index for informed betting decisions.

    Live Scores In-Play Stats Real-Time Data

  • Comeback & Winning Factor Analysis Unique

    Proprietary metric measuring how teams recover after falling behind - exclusive to BetBallers for underdog betting strategies.

    Comeback Factor Underdog Stats Winning Factor

  • Football Betting Statistics & Odds

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

    Statistics Betting Odds Asian Handicap

  • Momentum Betting Tracker aka Pressure Index

    Track game momentum shifts in real-time to identify betting opportunities during live matches with visual momentum indicators.

    Momentum Live Betting Match Flow

  • Match Schedule, Results & Standings

    Complete fixture schedule, historical results, league standings, and pre-match analysis for Premier League, La Liga, and 100+ leagues.

    Schedule Results Standings

  • Customizable Betting Alerts

    Set personalized notifications for goals, corners, cards, and statistical thresholds across your favorite teams and leagues.

    Alerts Notifications Custom

  • AI Betting Assistant & Agent AI Powered

    Intelligent AI agent analyzes matches, suggests betting opportunities, and provides data-driven insights based on historical patterns and live statistics.

    AI Assistant Smart Predictions AI Agent

  • Betting Strategy Backtesting Pro

    Test your betting strategies against historical data, analyze ROI, track performance metrics, and optimize your betting approach with proven results.

    Backtesting Strategy Testing ROI Analysis

Popular Football Betting Categories

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:

  • Schedule Page Analysis: AI scans upcoming matches and highlights value betting opportunities with higher probability of success
  • Specific Betting Tips: Get concrete betting recommendations with explanations instead of sorting through raw data yourself
  • 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.

What subscription plans does BetBallers offer and what features are included?

BetBallers offers a free trial and multiple subscription tiers to suit different betting needs:

  • Free 2-Day Trial: €4.90 - Test all features with full access for 2 days
  • 1-Month Gold-Baller: €29.99 - Full access to all features including AI Assistant and backtesting system
  • 6-Month Gold-Baller: €149.90 - Extended subscription with significant savings per month

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.