Inter Milan U23 vs Scafatese – Prediction, Odds & Live Stats

- 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
Inter Milan U23	3	1	0	0	5	2
Scafatese	6	2	0	0	5	1

Last 15 minutes
Inter Milan U23	0	0	0	0	2	0
Scafatese	6	1	0	0	0	0

1st Half
Inter Milan U23	0	1	0	0	1	1
Scafatese	0	0	0	0	1	1

2nd half
Inter Milan U23	3	0	0	0	4	1
Scafatese	6	2	0	0	0	0

Last 5 minutes
Inter Milan U23	0	0	0	0	0	0
Scafatese	5	1	0	0	0	0

Last 10 minutes
Inter Milan U23	0	0	0	0	0	0
Scafatese	6	1	0	0	0	0

Last 15 minutes
Inter Milan U23	0	0	0	0	0	0
Scafatese	6	1	0	0	0	0

Last 20 minutes
Inter Milan U23	0	0	0	0	2	0
Scafatese	6	1	0	0	1	0

Last 25 minutes
Inter Milan U23	0	0	0	0	4	0
Scafatese	6	1	0	0	0	0

P	Team	W	D	L	Goals	PO
1	Potenza	8	2	1	28:15	26
2	Bari	6	3	2	14:7	21
3	Sorrento Calcio	6	2	3	15:11	20
4	Catania	6	1	4	24:12	19
5	Monopoli	5	3	3	13:9	18
6	Audace Cerignola	5	2	4	18:11	17
7	Inter Milan U23	5	2	4	21:19	17
8	Scafatese	4	5	2	17:15	17
9	Casertana	4	5	2	16:14	17
10	AZ Picerno ASD	5	0	6	20:18	15
10	Cavese	4	3	4	20:18	15
12	Salernitana	3	5	3	14:15	14
13	Foggia	4	2	5	11:13	14
14	Casarano	4	2	5	13:18	14
15	Team Altamura	3	3	5	9:16	12
16	Barletta	2	5	4	13:16	11
17	AC Savoia 1908	2	5	4	12:17	11
18	Giugliano	3	1	7	15:29	10
19	Cosenza	1	3	7	9:23	6
20	Crotone	1	4	6	10:16	1

P	Team	W	D	L	Goals	PO
1	Potenza	5	0	0	15:6	15
2	Bari	4	2	0	7:0	14
3	Cavese	4	0	1	16:8	12
4	AZ Picerno ASD	4	0	2	15:10	12
5	Audace Cerignola	3	2	0	11:1	11
6	Monopoli	3	2	0	7:2	11
7	Salernitana	3	2	1	11:8	11
8	Catania	3	1	2	14:5	10
9	Casarano	3	1	1	8:5	10
10	Sorrento Calcio	3	1	1	5:2	10
11	Scafatese	3	1	1	6:4	10
12	Giugliano	3	1	2	12:12	10
13	Casertana	2	3	1	11:9	9
14	Barletta	2	2	1	7:6	8
15	Inter Milan U23	2	2	2	11:12	8
16	Foggia	2	2	2	5:6	8
17	Team Altamura	2	1	3	5:11	7
18	AC Savoia 1908	1	3	1	6:6	6
19	Crotone	1	1	4	6:10	4
20	Cosenza	0	2	3	3:8	2

P	Team	W	D	L	Goals	PO
1	Potenza	3	2	1	13:9	11
2	Sorrento Calcio	3	1	2	10:9	10
3	Catania	3	0	2	10:7	9
3	Inter Milan U23	3	0	2	10:7	9
5	Casertana	2	2	1	5:5	8
6	Scafatese	1	4	1	11:11	7
7	Bari	2	1	2	7:7	7
8	Monopoli	2	1	3	6:7	7
9	Foggia	2	0	3	6:7	6
10	Audace Cerignola	2	0	4	7:10	6
11	Team Altamura	1	2	2	4:5	5
12	AC Savoia 1908	1	2	3	6:11	5
13	Casarano	1	1	4	5:13	4
14	Cosenza	1	1	4	6:15	4
15	Crotone	0	3	2	4:6	3
16	AZ Picerno ASD	1	0	4	5:8	3
17	Barletta	0	3	3	6:10	3
18	Salernitana	0	3	2	3:7	3
19	Cavese	0	3	3	4:10	3
20	Giugliano	0	0	5	3:17	0

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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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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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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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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.

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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
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

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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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Comeback Factor and Pressure Index statistics
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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
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.

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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.

Lineup
99 - Tommaso Fumagalli	Alessio Esposito - 8
5 - Lorenzo Tosto	Emilio Volpicelli - 7
7 - Iwo Kaczmarski	Michele Emmausso - 90
80 - Gabriele Garonetti	Federico Proia - 5
77 - Igor Amerighi	Ciro Palmieri - 27
9 - Jamal Iddrissou	Loris Bacchetti - 13
8 - Luca Fiordilino	Mattia Novella - 35
3 - Mattia Marello	Juan Brunet - 23
6 - Charlys	Mattia Scognamiglio - 20
23 - Andrea Donato	Francesco Forte - 22
1 - Riccardo Melgrati	Antonio Ferrara - 99
Substitutes
27 - Mike Aidoo	Gabriel Becchi - 1
22 - Alain Taho	Vincenzo Guerra - 55
11 - Jan Zuberek	Joaquin Suhs - 6
37 - Davide Sorino	Lucas Dambros da Silva - 10
24 - Gabriele Re Cecconi	Salvatore Molinaro - 28
4 - Filippo Cerpelletti	Pietro Santarpia - 76
2 - Tommaso Avitabile	Emmanuele De Chiara - 98
29 - Matias Mancuso	Pasqualino Ortisi - 11
20 - Thomas Matarrese	Cristian Terribili - 32
15 - Francesco Stante	-
19 - Giuseppe Prestia	-
14 - Leonardo Bovo	-
91 - Christian Carrara	-
95 - Paolo Raimondi	-

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[11] Inter Milan U23 2 1 Scafatese [6]

Lineups

Lineup

Substitutes

1X2 Odds

Dangerous Attacks

Shots on Target

Shots off Target

Possession

Attacks

Inter Milan U23 vs Scafatese Statistics

Statistics based on last 5 10 15 games

Italy Serie C Group C

Serie C 26/27, Group C

Serie C 26/27, Group C

Serie C 26/27, Group C

Inter Milan U23 Reply_copy_4_2_ Created with Sketch.

Scafatese Reply_copy_4_2_ Created with Sketch.

Match notes Reply_copy_4_2_ Created with Sketch.

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^[11] Inter Milan U23 2

1 Scafatese ^[6]

Statistics based on last games

Inter Milan U23

Scafatese

Match notes