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Hillerød

Hillerød football statistics on BetBallers: results, upcoming fixtures, league table, squad and team stats from 360 tracked games with 1x2 odds, Asian Handicap win rates and AI predictions.

  • Πληροφορίες ομάδας
  • Πίνακας Πρωταθλήματος
  • Προηγούμενοι Αγώνες
  • Επερχόμενοι αγώνες
  • Ομάδα
  • Ειδοποιήσεις

Hillerød Στατιστικά

Στατιστικά με βάση τα τελευταία Αγώνες

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Hillerød Πίνακας Πρωταθλήματος

Denmark Division 1

  • Συνολικά
  • Γηπεδούχος
  • Εκτός

1. Division 26/27

P Ομάδα W D L Γκολ PO
1 Vejle 4 1 0 16:10 13
2 Hobro IK 4 0 1 8:5 12
3 Hvidovre IF 3 2 0 8:4 11
4 FC Fredericia 2 3 0 8:2 9
5 Aarhus Fremad 2 2 1 7:5 8
6 AaB 2 1 2 5:7 7
7 AB Copenhagen 1 3 1 7:5 6
8 Vendsyssel FF 1 2 2 5:8 5
9 Esbjerg 1 1 3 8:11 4
10 Kolding IF 0 2 2 4:6 2
11 Hillerød 0 1 4 7:11 1
12 HB Køge 0 0 4 1:10 0

1. Division 26/27

P Ομάδα W D L Γκολ PO
1 Vejle 2 1 0 11:8 7
2 Hobro IK 2 0 1 4:3 6
3 FC Fredericia 1 2 0 4:1 5
4 Hvidovre IF 1 1 0 4:3 4
5 AaB 1 1 1 2:4 4
6 Aarhus Fremad 1 0 1 4:3 3
7 Vendsyssel FF 1 0 2 2:5 3
8 AB Copenhagen 0 2 0 2:2 2
9 Hillerød 0 1 1 3:4 1
10 Esbjerg 0 1 1 2:3 1
11 Kolding IF 0 0 2 2:4 0
12 HB Køge 0 0 2 0:4 0

1. Division 26/27

P Ομάδα W D L Γκολ PO
1 Hvidovre IF 2 1 0 4:1 7
2 Vejle 2 0 0 5:2 6
3 Hobro IK 2 0 0 4:2 6
4 Aarhus Fremad 1 2 0 3:2 5
5 FC Fredericia 1 1 0 4:1 4
6 AB Copenhagen 1 1 1 5:3 4
7 AaB 1 0 1 3:3 3
8 Esbjerg 1 0 2 6:8 3
9 Vendsyssel FF 0 2 0 3:3 2
10 Kolding IF 0 2 0 2:2 2
11 Hillerød 0 0 3 4:7 0
12 HB Køge 0 0 2 1:6 0

Denmark Series Group 1

  • Συνολικά
  • Γηπεδούχος
  • Εκτός

Danmarksserien 26/27, Group 4

P Ομάδα W D L Γκολ PO
1 Fuglebakken KFUM 0 0 0 0:0 0
1 Hobro IK 2 0 0 0 0:0 0
1 Holstebro 0 0 0 0:0 0
1 IF Lyseng 0 0 0 0:0 0
1 Norresundby 0 0 0 0:0 0
1 Skovsgaard BK 0 0 0 0:0 0
1 Vejgaard B 0 0 0 0:0 0
1 Viby 0 0 0 0:0 0
1 Vorup FB 0 0 0 0:0 0
1 VRI 0 0 0 0:0 0

Danmarksserien 26/27, Group 3

P Ομάδα W D L Γκολ PO
1 Aarhus Fremad 2 0 0 0 0:0 0
1 B 1913 0 0 0 0:0 0
1 Marienlyst 0 0 0 0:0 0
1 Esbjerg II 0 0 0 0:0 0
1 Horsens fS 0 0 0 0:0 0
1 Kolding B 0 0 0 0:0 0
1 Odder IGF 0 0 0 0:0 0
1 OKS 0 0 0 0:0 0
1 Oure FA 0 0 0 0:0 0
1 Tarup-Paarup 0 0 0 0:0 0

Danmarksserien 26/27, Group 2

P Ομάδα W D L Γκολ PO
1 Allerød 0 0 0 0:0 0
1 FC Gladsaxe 0 0 0 0:0 0
1 Fredensborg 0 0 0 0:0 0
1 Glostrup FK 0 0 0 0:0 0
1 Gørslev IF 0 0 0 0:0 0
1 Herlev 0 0 0 0:0 0
1 KFUM Roskilde 0 0 0 0:0 0
1 Nerashte Ballerup 0 0 0 0:0 0
1 Saby 0 0 0 0:0 0
1 Tårnby FF 0 0 0 0:0 0

Danmarksserien 26/27, Group 1

P Ομάδα W D L Γκολ PO
1 Avarta 0 0 0 0:0 0
1 Skjold 0 0 0 0:0 0
1 Espergærde IF 0 0 0 0:0 0
1 FC Nakskov 0 0 0 0:0 0
1 FC Sydkysten 0 0 0 0:0 0
1 Frederikssund IK 0 0 0 0:0 0
1 GVI 0 0 0 0:0 0
1 Ledøje-Smørum Fodbold 0 0 0 0:0 0
1 NB Bornholm 0 0 0 0:0 0
1 Skovshoved 0 0 0 0:0 0

Danmarksserien 26/27, Group 4

P Ομάδα W D L Γκολ PO
1 Fuglebakken KFUM 0 0 0 0:0 0
1 Hobro IK 2 0 0 0 0:0 0
1 Holstebro 0 0 0 0:0 0
1 IF Lyseng 0 0 0 0:0 0
1 Norresundby 0 0 0 0:0 0
1 Skovsgaard BK 0 0 0 0:0 0
1 Vejgaard B 0 0 0 0:0 0
1 Viby 0 0 0 0:0 0
1 Vorup FB 0 0 0 0:0 0
1 VRI 0 0 0 0:0 0

Danmarksserien 26/27, Group 3

P Ομάδα W D L Γκολ PO
1 Aarhus Fremad 2 0 0 0 0:0 0
1 B 1913 0 0 0 0:0 0
1 Marienlyst 0 0 0 0:0 0
1 Esbjerg II 0 0 0 0:0 0
1 Horsens fS 0 0 0 0:0 0
1 Kolding B 0 0 0 0:0 0
1 Odder IGF 0 0 0 0:0 0
1 OKS 0 0 0 0:0 0
1 Oure FA 0 0 0 0:0 0
1 Tarup-Paarup 0 0 0 0:0 0

Danmarksserien 26/27, Group 2

P Ομάδα W D L Γκολ PO
1 Allerød 0 0 0 0:0 0
1 FC Gladsaxe 0 0 0 0:0 0
1 Fredensborg 0 0 0 0:0 0
1 Glostrup FK 0 0 0 0:0 0
1 Gørslev IF 0 0 0 0:0 0
1 Herlev 0 0 0 0:0 0
1 KFUM Roskilde 0 0 0 0:0 0
1 Nerashte Ballerup 0 0 0 0:0 0
1 Saby 0 0 0 0:0 0
1 Tårnby FF 0 0 0 0:0 0

Danmarksserien 26/27, Group 1

P Ομάδα W D L Γκολ PO
1 Avarta 0 0 0 0:0 0
1 Skjold 0 0 0 0:0 0
1 Espergærde IF 0 0 0 0:0 0
1 FC Nakskov 0 0 0 0:0 0
1 FC Sydkysten 0 0 0 0:0 0
1 Frederikssund IK 0 0 0 0:0 0
1 GVI 0 0 0 0:0 0
1 Ledøje-Smørum Fodbold 0 0 0 0:0 0
1 NB Bornholm 0 0 0 0:0 0
1 Skovshoved 0 0 0 0:0 0

Danmarksserien 26/27, Group 4

P Ομάδα W D L Γκολ PO
1 Fuglebakken KFUM 0 0 0 0:0 0
1 Hobro IK 2 0 0 0 0:0 0
1 Holstebro 0 0 0 0:0 0
1 IF Lyseng 0 0 0 0:0 0
1 Norresundby 0 0 0 0:0 0
1 Skovsgaard BK 0 0 0 0:0 0
1 Vejgaard B 0 0 0 0:0 0
1 Viby 0 0 0 0:0 0
1 Vorup FB 0 0 0 0:0 0
1 VRI 0 0 0 0:0 0

Danmarksserien 26/27, Group 3

P Ομάδα W D L Γκολ PO
1 Aarhus Fremad 2 0 0 0 0:0 0
1 B 1913 0 0 0 0:0 0
1 Marienlyst 0 0 0 0:0 0
1 Esbjerg II 0 0 0 0:0 0
1 Horsens fS 0 0 0 0:0 0
1 Kolding B 0 0 0 0:0 0
1 Odder IGF 0 0 0 0:0 0
1 OKS 0 0 0 0:0 0
1 Oure FA 0 0 0 0:0 0
1 Tarup-Paarup 0 0 0 0:0 0

Danmarksserien 26/27, Group 2

P Ομάδα W D L Γκολ PO
1 Allerød 0 0 0 0:0 0
1 FC Gladsaxe 0 0 0 0:0 0
1 Fredensborg 0 0 0 0:0 0
1 Glostrup FK 0 0 0 0:0 0
1 Gørslev IF 0 0 0 0:0 0
1 Herlev 0 0 0 0:0 0
1 KFUM Roskilde 0 0 0 0:0 0
1 Nerashte Ballerup 0 0 0 0:0 0
1 Saby 0 0 0 0:0 0
1 Tårnby FF 0 0 0 0:0 0

Danmarksserien 26/27, Group 1

P Ομάδα W D L Γκολ PO
1 Avarta 0 0 0 0:0 0
1 Skjold 0 0 0 0:0 0
1 Espergærde IF 0 0 0 0:0 0
1 FC Nakskov 0 0 0 0:0 0
1 FC Sydkysten 0 0 0 0:0 0
1 Frederikssund IK 0 0 0 0:0 0
1 GVI 0 0 0 0:0 0
1 Ledøje-Smørum Fodbold 0 0 0 0:0 0
1 NB Bornholm 0 0 0 0:0 0
1 Skovshoved 0 0 0 0:0 0

Denmark Division 2

  • Συνολικά
  • Γηπεδούχος
  • Εκτός

2. Division 26/27

P Ομάδα W D L Γκολ PO
1 VSK Arhus 4 0 0 10:1 12
2 Nykobing 3 1 0 12:6 10
3 Middelfart 2 1 1 11:5 7
4 FC Roskilde 1 3 0 6:5 6
5 B93 Copenhagen 2 0 2 7:7 6
6 Skive 2 0 2 6:6 6
7 Fremad Amager 1 2 1 5:6 5
8 Naestved 1 2 1 4:5 5
9 Hellerup IK 1 1 2 3:7 4
10 FA 2000 1 0 3 5:9 3
11 Brabrand 1 0 3 5:10 3
12 Thisted FC 0 0 4 2:9 0

2. Division 26/27

P Ομάδα W D L Γκολ PO
1 Middelfart 2 0 1 10:4 6
2 VSK Arhus 2 0 0 6:1 6
3 Nykobing 1 1 0 6:2 4
4 B93 Copenhagen 1 0 1 4:2 3
5 Hellerup IK 1 0 1 2:3 3
6 FC Roskilde 0 2 0 3:3 2
7 Fremad Amager 0 1 0 1:1 1
8 Naestved 0 1 1 1:3 1
9 Thisted FC 0 0 2 0:2 0
10 Skive 0 0 2 2:5 0
11 Brabrand 0 0 2 1:4 0
12 FA 2000 0 0 2 3:7 0

2. Division 26/27

P Ομάδα W D L Γκολ PO
1 VSK Arhus 2 0 0 4:0 6
2 Skive 2 0 0 4:1 6
3 Nykobing 2 0 0 6:4 6
4 FC Roskilde 1 1 0 3:2 4
4 Naestved 1 1 0 3:2 4
6 Fremad Amager 1 1 1 4:5 4
7 FA 2000 1 0 1 2:2 3
8 Brabrand 1 0 1 4:6 3
9 B93 Copenhagen 1 0 1 3:5 3
10 Middelfart 0 1 0 1:1 1
11 Hellerup IK 0 1 1 1:4 1
12 Thisted FC 0 0 2 2:7 0

Hillerød Επερχόμενοι αγώνες

Σέντρα Γηπεδούχος Εκτός 1x2 Πτώση Τρέχον Ασιατικό Χάντικαπ Γηπεδούχου Γκολ line Ασιατικά Κόρνερ Δράσεις
25-08 15:30 Avarta - Hillerød
0%
-
-
-
 50%10 - 80%10
65% 		0.70 - 0.55
30-08 11:00 Hillerød - Hobro IK
0%
-
-
-
 80%10 - 80%10
80% 		0.55 - 0.80
04-09 17:00 HB Køge - Hillerød
0%
-
-
-
 80%10 - 80%10
80% 		1.30 - 0.55
12-09 12:00 Hillerød - AB Copenhagen
0%
-
-
-
 80%10 - 80%10
80% 		0.55 - 1.05
19-09 12:00 Kolding IF - Hillerød
0%
-
-
-
 90%10 - 80%10
85% 		0.70 - 0.55
10-10 12:00 Hillerød - FC Fredericia
0%
-
-
-
 80%10 - 60%10
70% 		0.55 - 1.70
17-10 12:00 Hvidovre IF - Hillerød
0%
-
-
-
 80%10 - 80%10
80% 		0.95 - 0.55

Hillerød Προηγούμενοι Αγώνες

  • Κυρίως (5)

Ποσοστό κερδισμένων του τελευταίου "Χ" αριθμού παιχνιδιών που καλύπτουν τα "Ασιατικά Χάντικαπ"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Όλα 0% 0.00

Ποσοστό κερδισμένων του τελευταίου "Χ" αριθμού παιχνιδιών που καλύπτουν τα "Γκολ line"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Όλα 0% 0.00

* - Average difference from opening line

Ποσοστό κερδισμένων του τελευταίου "Χ" αριθμού παιχνιδιών που καλύπτουν τα "Ασιατικά Κορνερ"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Όλα 0% 0.00
Show Home (X) Show Away (X) Δείξε στατιστικά 1ου ημιχρόνου
Ημερομηνία Γηπεδούχος Σκορ Εκτός 1x2 Πτώση Ασιατικό Χάντικαπ Γηπεδούχου Γκολ line Ασιατικά Κόρνερ Επικίνδυνες επιθέσεις Συνολικά σουτ Σουτ στο τέρμα Κόρνερ     
L 20-08-2026 17:00 1 [10] Vendsyssel FF 1 - 0 Hillerød [11] 1 2
S: - 3.60 ?
K: ?3.40 -
 8%
?
2.000
-
?
?
1.975, 1.825
?-?

22-15

?-?

8-3

Ανοίξτε μία σελίδα
D 15-08-2026 11:00 3 [11] Hillerød 1 - 1 Aarhus Fremad [5]
S: - 3.50 ?
K: ?4.00 -
 35%
?
1.850
-
?
?
1.825, 1.975
?-?

13-18

?-?

8-4

Ανοίξτε μία σελίδα
L 09-08-2026 12:00 2 [5] Vejle 5 - 4 Hillerød [11] 1
S: - 3.80 ?
K: ?3.75 -
 0%
?
2.000
-
?
?
1.825, 1.975
?-?

30-11

?-?

8-3

Ανοίξτε μία σελίδα
L 01-08-2026 11:00 1 [11] Hillerød 2 - 3 Esbjerg [9]
S: - 3.40 ?
K: ?4.00 -
 32%
?
2.000
-
?
?
2.000, 1.800
?-?

15-16

?-?

10-2

Ανοίξτε μία σελίδα

Τελευταίες Ειδοποιήσεις

Φιλτράρετε με Τελευταία: Τύπος: Πρωτάθλημα:
Φόρτωση

Hillerød Ομάδα

Nr. Όνομα Χώρα Ημερομηνία γέννησης Θέση Ύψος Βάρος Πόδι
- Hakim Sulemana 2005-02-19 - 164 60 Both
- Poul Kallsberg 2003-02-04 Defender 183 79 Right
18 Jonas Lyshoj 2002-03-08 - - - -
16 Hjalte Toftegaard 2006-06-25 - - - -
27 Andreas Frederik Dithmer 2005-08-01 - 198 - Right
27 Victor Dedes 2003-03-20 - 181 - -
11 Mikkel Mouritz Jensen 1997-01-22 Midfielder 176 - -
26 Viggo Matthiesen Andersen 2005-08-20 - - - -
25 William Glindtvad 2006-09-02 - - - -
22 Saman Sebastean Jalaei - - - - - -
- Pierre Larsen 1994-07-16 Forward 173 72 Both
- Tobias Koktvedgaard - - - - -
26 Asare 1992-07-13 - - - -
27 Daniel Johansen 1998-07-09 Midfielder 179 74 Left
3 Cornelius Allen 2003-07-23 - 185 - -
21 Kasper Enghardt 1992-05-27 Defender 186 79 Left
1 Adrian Kappenberger 1996-08-25 Guard 194 85 -
- Frederik Karlsen 2004-11-19 - - - Both
14 Solomon Opoku 2004-04-07 - 178 - Right
- Adrian Justinussen 1998-07-21 Forward 180 76 Right
- Ahmed Hassan 1997-01-01 Forward 180 - -
- Markus Bay 1997-02-17 Midfielder 184 - Right
- Rasmus Möller - - - - - -
- Alessio Alicino 2001-10-12 - - - -
- Anton Mikael Pedersen - - - - - -
- Valdemar Schousboe 1997-08-01 Forward - - -
- Rasmus Minor Petersen 1988-09-13 Defender 198 94 Left
- Hamid El Idrissi 2001-03-09 - 186 - -
- Ovays Azizi 1992-01-29 Guard - - -
28 Mads Emil Langberg 2002-02-21 - - - -
27 Filip Panjeskovic 2003-01-16 Defender 188 - Right
24 Victor Mohr - - - - Right
20 Berzan Kucukyildiz 2000-10-04 Midfielder - - Right
12 Nicklas Bjerre Schmidt 1995-11-09 Midfielder - - -
3 Nicolai Hansen - - - - -
4 Gregers Arndal-Lauritzen 1998-05-03 Defender 189 81 Left
40 Thomas Gall 1997-01-09 Guard - - Right
29 Nicolaj Thomsen 2001-03-24 - - - -
17 Jonas Helwiig Hemmingshoj 1998-09-22 Forward - - -
14 Devrim Sahin 1999-04-06 Midfielder - - Right
8 Tobias Arndal 1997-09-01 Midfielder 185 - Right
19 Johannes Houborg 1997-12-10 - - - Right
5 Lucas Boje Larsen 2001-02-09 - - - Left
30 Mads Hoyer Julo 1998-03-13 Midfielder - - -
18 Simon Peter Friis Sharif 1997-11-10 - - - Right
23 Magnus Frank Nathansen 1997-07-26 - - - -
1 Rasmus Lyng Kristensen 1993-01-01 Guard - - -
7 Jonathan Witt 1992-12-06 - - - Right
6 Marinus Due Grandt 2000-03-24 - 180 - Right

Τελευταίες ενημερώσεις

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    Νέο: σύγκριση μέσω κοινών αντιπάλων για κάθε επερχόμενο παιχνίδι Η σύγκριση ποδοσφαιρικών στατιστικών αποκτά νέα οπτική στο BetBallers. Η νέα μας σελίδα Σύγκριση κοινών αντιπάλων παίρνει κάθε αναμέτρηση που ξεκινά τις επόμενες 24 ώρες και συγκρίνει τις δύο ομάδες μέσα από τους αντιπάλους που έχουν πραγματικά αντιμετωπίσει και οι δύο. Γιατί να συγκρίνουμε ομάδες μέσω […]

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    The Comeback Factor What is it? The Comeback Factor measures how effectively a team can recover after falling behind in a match. It tells you how often a team can bounce back by scoring the next goal after the other team has taken the lead. How does it work? Every time a team falls behind, […]

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    Ομάδα

    While football is undoubtedly the most popular sport in the world, not all football leagues are created equal when it comes to betting. Some leagues offer plenty of opportunities for excitement and high-stakes betting, while others may not be as appealing to those looking to add some thrill to their viewing experience. In this article, […]

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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

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

    Στατιστικά Betting Odds Ασιατικό Χάντικαπ

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    Momentum Live Betting Match Flow

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    Πρόγραμμα Αποτελέσματα Standings

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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
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  • 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.

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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
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  • 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).

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

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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:

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  • Historical Validation: Shows how current match statistics compare to historical performance patterns
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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.