Brescia vs Modena – Prediction, Odds & Live Stats

	Date	Home	Score	Away	1x2	Drop	Home Asian Handicap	Goal Line	Asian Corners	Dangerous Attacks	Total Shots	Shots on Target	Corners
	09-05-2025 18:30	4 ^[10] Modena	2 - 2 1 - 1	Brescia ^[16] 1	S: - 3.00 ? K: ?3.10 -	2%	? 1.975 ? 1.900	- ?	? 1.950, 1.850	?-? 20-25	12-17 9-7	?-? 2-1	2-1 2-1
	26-12-2024 14:00	2 ^[13] Brescia	3 - 3 1 - 2	Modena ^[9] 3	S: - 2.90 ? K: ?2.90 -	22%	? 1.750 ? 1.775	- ?	? 1.825, 1.975	?-? 20-26	16-15 6-8	?-? 3-4	5-4 1-3
	13-01-2024 13:00	4 ^[8] Modena	1 - 2 0 - 2	Brescia ^[9] 5	S: - 3.10 ? K: ?2.88 -	2%	? 1.950 ? 1.825	- ?	? 1.850, 1.950	?-? 15-23	14-11 6-6	?-? 0-3	10-5 2-2
	24-10-2023 16:30	3 ^[7] Brescia	0 - 1 0 - 0	Modena ^[9] 3	S: - 3.10 ? K: ?2.90 -	0%	? 1.800 ? 2.075	- ?	? 1.825, 1.975	?-? 16-32	6-14 3-7	?-? 0-0	2-7 1-5
	10-09-2022 13:00	2 ^[16] Modena	1 - 3	Brescia ^[3] 2	S: - 3.20 ? K: ?3.40 -	9%	? 2.000 ? 1.800	- ?	? 1.950, 1.850	?-?	13-12	?-?	10-3
No games found

- Minutes
{{home}}	{{h_corners}}	{{h_ycards}}	{{h_rcards}}	{{h_pen}}	{{h_sub}}	{{h_goals}}
{{away}}	{{a_corners}}	{{a_ycards}}	{{a_rcards}}	{{a_pen}}	{{a_sub}}	{{a_goals}}

Full-Time	xG							Saves	Shots Blocked	Fouls	Ball Safe
Brescia	0.31	8	3	0	0	0	0	1	3	17	105	0	0
Modena	1.38	1	3	0	1	0	2	1	3	16	114	2	1

1st Half
Brescia	2	1	0	0	0	0
Modena	1	1	0	0	0	0

2nd half
Brescia	6	2	0	0	0	0
Modena	0	2	0	1	1	1

Last 5 minutes
Brescia	6	2	0	0	0	0
Modena	0	2	0	1	0	1

P	Team	W	D	L	Goals	PO
1	Vicenza	1	0	0	3:2	3
2	Ascoli	1	0	0	2:1	3
2	Mantova	1	0	0	2:1	3
2	Modena	1	0	0	2:1	3
2	Arezzo	1	0	0	2:1	3
6	Padova	1	0	0	1:0	3
6	Empoli	1	0	0	1:0	3
6	Sudtirol	1	0	0	1:0	3
6	Palermo	1	0	0	1:0	3
10	Cesena	0	1	0	1:1	1
10	Sampdoria	0	1	0	1:1	1
12	Catanzaro	0	0	1	2:3	0
13	Benevento	0	0	1	1:2	0
13	Carrarese	0	0	1	1:2	0
13	Verona	0	0	1	1:2	0
13	Avellino	0	0	1	1:2	0
17	Pisa	0	0	1	0:1	0
17	Cremonese	0	0	1	0:1	0
17	Virtus Entella	0	0	1	0:1	0
20	Juve Stabia	0	0	1	0:1	-2

P	Team	W	D	L	Goals	PO
1	Vicenza	1	0	0	3:2	3
2	Empoli	1	0	0	1:0	3
2	Sudtirol	1	0	0	1:0	3
2	Palermo	1	0	0	1:0	3
5	Cesena	0	1	0	1:1	1
6	Ascoli	0	0	0	0:0	0
6	Padova	0	0	0	0:0	0
6	Juve Stabia	0	0	0	0:0	0
6	Mantova	0	0	0	0:0	0
6	Modena	0	0	0	0:0	0
6	Sampdoria	0	0	0	0:0	0
6	Arezzo	0	0	0	0:0	0
6	Catanzaro	0	0	0	0:0	0
6	Cremonese	0	0	0	0:0	0
6	Virtus Entella	0	0	0	0:0	0
16	Benevento	0	0	1	1:2	0
16	Carrarese	0	0	1	1:2	0
16	Verona	0	0	1	1:2	0
16	Avellino	0	0	1	1:2	0
20	Pisa	0	0	1	0:1	0

P	Team	W	D	L	Goals	PO
1	Ascoli	1	0	0	2:1	3
1	Mantova	1	0	0	2:1	3
1	Modena	1	0	0	2:1	3
1	Arezzo	1	0	0	2:1	3
5	Padova	1	0	0	1:0	3
6	Sampdoria	0	1	0	1:1	1
7	Benevento	0	0	0	0:0	0
7	Carrarese	0	0	0	0:0	0
7	Cesena	0	0	0	0:0	0
7	Empoli	0	0	0	0:0	0
7	Sudtirol	0	0	0	0:0	0
7	Verona	0	0	0	0:0	0
7	Vicenza	0	0	0	0:0	0
7	Palermo	0	0	0	0:0	0
7	Pisa	0	0	0	0:0	0
7	Avellino	0	0	0	0:0	0
17	Catanzaro	0	0	1	2:3	0
18	Juve Stabia	0	0	1	0:1	0
18	Cremonese	0	0	1	0:1	0
18	Virtus Entella	0	0	1	0:1	0

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Comeback Factor: Measures how effectively teams recover after falling behind by tracking how often they score the next goal
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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

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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

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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
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Asian Corners Variance: Reveals teams that generate more or fewer corners than bookmakers expect
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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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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
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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.

Lineup
4-3-2-1	4-3-2-1
1 - Lorenzo Andrenacci	Riccardo Gagno - 26
14 - Massimiliano Mangraviti	Shady Oukhadda - 96
32 - Andrea Papetti	Giorgio Cittadini - 5
4 - Davide Adorni	Tommaso Silvestri - 15
6 - Nicolas Galazzi	Fabio Ponsi - 3
23 - John Bjorkengren	Luca Magnino - 6
25 - Dimitri Bisoli	Fabio Gerli - 16
5 - Tom Van de Looi	Andrea Poli - 24
8 - Emanuele Ndoj	Diego Falcinelli - 11
29 - Marcin Listkowski	Luca Tremolada - 10
24 - Flavio Junior Bianchi	Davide Diaw - 99
Substitutes
12 - Luca Lezzerini	Francesco Renzetti - 33
27 - Giacomo Olzer	Artur Ionita - 27
11 - Florian Aye	Edoardo Duca - 7
20 - Reuven Niemeijer	Sebastien De Maio - 28
18 - Alexander Jallow	Andrea Seculin - 12
3 - Matthieu Huard	Simone Panada - 43
30 - Federico Pace	Nicholas Bonfanti - 9
31 - Manuel Scavone	Marco Armellino - 21
94 - Adryan Oliveira Tavares	Luca Strizzolo - 32
21 - Jakub Labojko	Mauro Coppolaro - 57
28 - Alexandre Coeff	Nicola Mosti - 8

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[16] Brescia 0 1 Modena [11]

Lineups

Lineup

Substitutes

1X2 Odds

Dangerous Attacks

Shots on Target

Shots off Target

Possession

Attacks

Brescia vs Modena Statistics

Statistics based on last 5 10 15 games

Italy Serie B

Serie B 26/27

Serie B 26/27

Serie B 26/27

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Modena Reply_copy_4_2_ Created with Sketch.

Match notes Reply_copy_4_2_ Created with Sketch.

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^[16] Brescia 0

1 Modena ^[11]

Statistics based on last games

Brescia

Modena

Match notes