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Italy Serie B

Italy Serie B football statistics on BetBallers: league standings, results and team stats from 4,585 tracked games, upcoming fixtures with live 1x2 odds, Asian Handicap lines and AI predictions.

  • Statistics
  • Previous Games
  • Upcoming games
  • Mutual opponents

Italy Serie B Statistics

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Italy Serie B (2026-06-28 - 2026-08-28) Overall Averages

Goals Dangerous Attacks Attacks Corners On-target Shots Off-target Shots Total Shots
? 45.95 ? 4.75 ? 10.10 ?

Team Statistics (06/28/2026 - 08/28/2026) conceded

Team name Goals Dangerous Attacks Attacks Corners On-target Shots Off-target Shots Total Shots
Sampdoria ? 1.00 107.00 ? ? 65.00 12.00 ? ? 2.00 14.00 ? ? 7.00
Palermo ? 0.00 61.00 ? ? 107.00 6.00 ? ? 3.00 15.00 ? ? 12.00
Avellino ? 2.00 48.00 ? ? 79.00 4.00 ? ? 3.00 7.00 ? ? 14.00
Virtus Entella ? 1.00 64.00 ? ? 63.00 5.00 ? ? 3.00 13.00 ? ? 10.00
Vicenza ? 2.00 59.00 ? ? 83.00 10.00 ? ? 6.00 15.00 ? ? 13.00
Cesena ? 1.00 26.00 ? ? 121.00 0.00 ? ? 7.00 5.00 ? ? 21.00
Modena ? 1.00 28.00 ? ? 67.00 4.00 ? ? 3.00 7.00 ? ? 16.00
Ascoli ? 1.00 40.00 ? ? 98.00 4.00 ? ? 6.00 5.00 ? ? 24.00
Pisa ? 1.00 56.00 ? ? 89.00 4.00 ? ? 3.00 16.00 ? ? 11.00
Verona ? 2.00 42.00 ? ? 78.00 5.00 ? ? 3.00 18.00 ? ? 8.00
Empoli ? 0.00 8.00 ? ? 128.00 2.00 ? ? 2.00 4.00 ? ? 14.00
Sudtirol ? 0.00 14.00 ? ? 109.00 1.00 ? ? 2.00 7.00 ? ? 15.00
Padova ? 0.00 45.00 ? ? 122.00 6.00 ? ? 6.00 8.00 ? ? 22.00
Catanzaro ? 3.00 38.00 ? ? 93.00 6.00 ? ? 9.00 7.00 ? ? 24.00
Benevento ? 2.00 31.00 ? ? 85.00 8.00 ? ? 4.00 13.00 ? ? 11.00
Arezzo ? 1.00 54.00 ? ? 91.00 2.00 ? ? 3.00 11.00 ? ? 10.00
Cremonese ? 1.00 79.00 ? ? 45.00 5.00 ? ? 6.00 12.00 ? ? 10.00
Carrarese ? 2.00 39.00 ? ? 127.00 2.00 ? ? 3.00 8.00 ? ? 11.00
Juve Stabia ? 1.00 40.00 ? ? 77.00 6.00 ? ? 4.00 9.00 ? ? 19.00
Mantova ? 1.00 40.00 ? ? 101.00 3.00 ? ? 4.00 8.00 ? ? 12.00

Variance Average difference from opening line

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Advantage (06/28/2026 - 08/28/2026)

  • Home
  • Away
Team name GF GA Number of Games Advantage
Cesena 1 1 1 0.00
Sampdoria 0 0 0 -
Palermo 1 0 1 1.00
Juve Stabia 0 0 0 -
Pisa 0 1 1 -1.00
Padova 0 0 0 -
Verona 1 2 1 -1.00
Ascoli 0 0 0 -
Benevento 1 2 1 -1.00
Modena 0 0 0 -
Avellino 1 2 1 -1.00
Arezzo 0 0 0 -
Empoli 1 0 1 1.00
Cremonese 0 0 0 -
Sudtirol 1 0 1 1.00
Virtus Entella 0 0 0 -
Carrarese 1 2 1 -1.00
Mantova 0 0 0 -
Vicenza 3 2 1 1.00
Catanzaro 0 0 0 -
Team name GF GA Number of Games Advantage
Cesena 0 0 0 -
Sampdoria 1 1 1 0.00
Palermo 0 0 0 -
Juve Stabia 0 1 1 -1.00
Pisa 0 0 0 -
Padova 1 0 1 1.00
Verona 0 0 0 -
Ascoli 2 1 1 1.00
Benevento 0 0 0 -
Modena 2 1 1 1.00
Avellino 0 0 0 -
Arezzo 2 1 1 1.00
Empoli 0 0 0 -
Cremonese 0 1 1 -1.00
Sudtirol 0 0 0 -
Virtus Entella 0 1 1 -1.00
Carrarese 0 0 0 -
Mantova 2 1 1 1.00
Vicenza 0 0 0 -
Catanzaro 2 3 1 -1.00

Overall Advantage (06/28/2026 - 08/28/2026)

Team name GF GA Number of Games Advantage
Home 11 12 10 -0.10
Away 12 11 10 0.10

Italy Serie B League table

No league table(s)

Italy Serie B Previous Games

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Italy Serie B Upcoming games

Kick-Off Home Away 1x2 Drop Current Home Asian Handicap Goal Line Asian Corners Actions
28-08 18:30 Cremonese - Modena
Start. 1.83 3.20 4.33
Last 1.913.10 4.10
 5%
-0.5
1.950
2.0
1.800, 2.000
9.0
1.900, 1.900
90%10 - 70%10
80% 		1.50 - 0.60
29-08 17:00 Virtus Entella - Cesena
Start. 2.40 3.10 2.90
Last 2.203.10 3.30
 9%
-0.25
1.900
2.0,2.5
1.850, 1.950
9.5
2.000, 1.800
60%10 - 60%10
60% 		0.50 - 0.90
29-08 17:00 Sampdoria - Juve Stabia
Start. 1.91 3.00 4.33
Last 1.853.10 4.33
 3%
-0.5
1.900
2.0
1.750, 2.050
9.0
1.950, 1.850
70%10 - 50%10
60% 		0.75 - 0.70
29-08 19:00 Padova - Verona
Start. 2.70 3.00 2.60
Last 2.883.00 2.45
 6%
0
2.025
2.0
1.800, 2.000
9.5
2.000, 1.800
40%10 - 60%10
50% 		1.05 - 1.10
29-08 19:00 Avellino - Vicenza
Start. 2.50 3.10 2.75
Last 2.403.10 2.80
 4%
-0.25
2.050
2.0,2.5
1.975, 1.825
9.0
1.825, 1.975
70%10 - 90%10
80% 		1.55 - 1.65
29-08 19:00 Ascoli - Carrarese
Start. 1.90 3.20 4.20
Last 1.913.20 4.10
 2%
-0.5
1.950
2.0
1.800, 2.000
9.0
2.025, 1.775
70%10 - 70%10
70% 		0.75 - 0.50
30-08 17:00 Mantova - Empoli
Start. 2.35 3.10 3.00
Last 2.103.10 3.50
 11%
-0.5
2.025
2.0,2.5
1.825, 1.975
9.5
2.000, 1.800
60%10 - 50%10
55% 		1.65 - 0.60
30-08 17:00 Arezzo - Palermo
Start. 2.88 3.10 2.40
Last 3.303.10 2.15
 11%
0.25
1.950
2.0,2.5
2.050, 1.750
8.5
1.900, 1.900
100%10 - 80%10
90% 		0.80 - 1.00
30-08 19:00 Pisa - Catanzaro
Start. 1.85 3.10 4.33
Last 1.833.10 4.50
 0%
-0.5
1.825
2.0,2.5
2.025, 1.775
9.5
1.900, 1.900
60%10 - 90%10
75% 		0.95 - 1.20
30-08 19:00 Benevento - Sudtirol
Start. 2.05 3.10 3.70
Last 2.103.10 3.60
 2%
-0.25
1.800
2.0
1.775, 2.025
8.5
1.875, 1.925
90%10 - 60%10
75% 		1.05 - 0.90
05-09 13:00 Sudtirol - Catanzaro
0%
-
-
-
 60%10 - 90%10
75% 		0.90 - 1.20
05-09 15:15 Ascoli - Benevento
0%
-
-
-
 70%10 - 90%10
80% 		0.75 - 1.05
05-09 17:30 Carrarese - Empoli
0%
-
-
-
 70%10 - 50%10
60% 		0.50 - 0.60
06-09 13:00 Cesena - Mantova
0%
-
-
-
 60%10 - 60%10
60% 		0.90 - 1.65
06-09 13:00 Virtus Entella - Vicenza
0%
-
-
-
 60%10 - 90%10
75% 		0.50 - 1.65
06-09 13:00 Modena - Avellino
0%
-
-
-
 70%10 - 70%10
70% 		0.60 - 1.55
06-09 13:00 Juve Stabia - Pisa
0%
-
-
-
 50%10 - 60%10
55% 		0.70 - 0.95
06-09 15:15 Verona - Arezzo
0%
-
-
-
 60%10 - 100%10
80% 		1.10 - 0.80
06-09 17:30 Cremonese - Padova
0%
-
-
-
 90%10 - 40%10
65% 		1.50 - 1.05
07-09 18:30 Palermo - Sampdoria
0%
-
-
-
 80%10 - 70%10
75% 		1.00 - 0.75
11-09 17:00 Empoli - Arezzo
0%
-
-
-
 50%10 - 100%10
75% 		0.60 - 0.80
11-09 19:00 Benevento - Verona
0%
-
-
-
 90%10 - 60%10
75% 		1.05 - 1.10
11-09 19:00 Pisa - Virtus Entella
0%
-
-
-
 60%10 - 60%10
60% 		0.95 - 0.50
12-09 13:00 Sudtirol - Modena
0%
-
-
-
 60%10 - 70%10
65% 		0.90 - 0.60
12-09 13:00 Padova - Ascoli
0%
-
-
-
 40%10 - 70%10
55% 		1.05 - 0.75
12-09 13:00 Vicenza - Juve Stabia
0%
-
-
-
 90%10 - 50%10
70% 		1.65 - 0.70
12-09 15:15 Catanzaro - Carrarese
0%
-
-
-
 90%10 - 70%10
80% 		1.20 - 0.50
12-09 17:30 Cesena - Cremonese
0%
-
-
-
 60%10 - 90%10
75% 		0.90 - 1.50
13-09 13:00 Avellino - Palermo
0%
-
-
-
 70%10 - 80%10
75% 		1.55 - 1.00
13-09 15:15 Mantova - Sampdoria
0%
-
-
-
 60%10 - 70%10
65% 		1.65 - 0.75
18-09 18:30 Juve Stabia - Cesena
0%
-
-
-
 50%10 - 60%10
55% 		0.70 - 0.90
19-09 13:00 Carrarese - Benevento
0%
-
-
-
 70%10 - 90%10
80% 		0.50 - 1.05
19-09 13:00 Palermo - Padova
0%
-
-
-
 80%10 - 40%10
60% 		1.00 - 1.05
19-09 13:00 Cremonese - Virtus Entella
0%
-
-
-
 90%10 - 60%10
75% 		1.50 - 0.50
19-09 15:15 Sampdoria - Catanzaro
0%
-
-
-
 70%10 - 90%10
80% 		0.75 - 1.20
19-09 17:30 Ascoli - Avellino
0%
-
-
-
 70%10 - 70%10
70% 		0.75 - 1.55
20-09 13:00 Arezzo - Sudtirol
0%
-
-
-
 100%10 - 60%10
80% 		0.80 - 0.90
20-09 13:00 Verona - Vicenza
0%
-
-
-
 60%10 - 90%10
75% 		1.10 - 1.65
20-09 15:15 Mantova - Pisa
0%
-
-
-
 60%10 - 60%10
60% 		1.65 - 0.95
20-09 17:30 Modena - Empoli
0%
-
-
-
 70%10 - 50%10
60% 		0.60 - 0.60

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
29-08 17:00 Virtus Entella
Cesena
-0.25
(1.90)
-
2.0,2.5
1.850, 1.950
2.00
-0.25
Each side's scored + conceded average is already a full-game total, so the two sides are averaged:
(1.40 + 0.60 + 1.25 + 0.75) / 2 = 2.00
Error: 2.00 - Goal line 2.25 = -0.25 		5
4
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. 		311
220
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. 		1.40 | 0.60
1.25 | 0.75
Goals scored | conceded per game, averaged over the team's mutual games. Green = better net (For - Against) than the opponent.		 10.14 | 15.67
8.20 | 21.33
Shots needed per goal: total shots divided by goals over the mutual games, For | Against. Lower is better - green = better net than the opponent.		 14.20 | 9.40
10.25 | 16.00
Shots taken | allowed per game (on + off target), averaged over the mutual games.		 5.40 | 2.60
3.50 | 3.50
Shots on target taken | allowed per game, averaged over the mutual games.		 45.20 | 32.00
35.25 | 35.50
Dangerous attacks made | allowed per game, averaged over the mutual games.
29-08 17:00 Sampdoria
Juve Stabia
-0.5
(1.90)
-
2.0
1.750, 2.050
2.00
+0.00
Each side's scored + conceded average is already a full-game total, so the two sides are averaged:
(0.80 + 0.80 + 1.00 + 1.40) / 2 = 2.00
Error: 2.00 - Goal line 2.00 = +0.00 		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. 		311
122
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. 		0.80 | 0.80
1.00 | 1.40
Goals scored | conceded per game, averaged over the team's mutual games. Green = better net (For - Against) than the opponent.		 15.00 | 13.00
8.00 | 11.86
Shots needed per goal: total shots divided by goals over the mutual games, For | Against. Lower is better - green = better net than the opponent.		 12.00 | 10.40
8.00 | 16.60
Shots taken | allowed per game (on + off target), averaged over the mutual games.		 4.20 | 3.20
2.20 | 4.40
Shots on target taken | allowed per game, averaged over the mutual games.		 45.60 | 39.20
28.20 | 55.80
Dangerous attacks made | allowed per game, averaged over the mutual games.

Top List

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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:

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  • 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
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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:

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

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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:

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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.