Forli vs US Pianese – 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
	29-03-2026 15:30	2 ^[13] Forli	0 - 0 0 - 0	US Pianese ^[6] 1	S: - 3.10 ? K: ?3.25 -	4%	? 1.850 ? 1.900	- ?	? 1.925, 1.875	?-? 41-24	10-2 6-1	?-? 2-0	8-0 6-0
	22-11-2025 16:30	2 ^[13] US Pianese	3 - 2 2 - 0	Forli ^[10] 3	S: - 3.00 ? K: ?3.10 -	8%	? 2.025 ? 1.875	- ?	? 1.950, 1.850	?-? 26-38	9-9 7-4	?-? 5-0	9-8 4-4
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
Forli	8	2	0	0	5	0
US Pianese	7	2	0	0	4	0

Last 15 minutes
Forli	5	0	0	0	3	0
US Pianese	3	1	0	0	1	0

1st Half
Forli	2	0	0	0	0	0
US Pianese	1	1	0	0	2	0

2nd half
Forli	6	2	0	0	5	0
US Pianese	6	1	0	0	0	0

Last 5 minutes
Forli	2	0	0	0	1	0
US Pianese	2	1	0	0	0	0

Last 10 minutes
Forli	5	0	0	0	1	0
US Pianese	2	1	0	0	0	0

Last 15 minutes
Forli	5	0	0	0	0	0
US Pianese	3	1	0	0	1	0

Last 20 minutes
Forli	5	0	0	0	3	0
US Pianese	4	1	0	0	1	0

Last 25 minutes
Forli	5	0	0	0	3	0
US Pianese	5	1	0	0	0	0

P	Team	W	D	L	Goals	PO
1	Spezia	9	2	0	19:5	29
2	Ravenna	7	2	2	20:6	23
3	Grosseto	6	4	1	23:13	22
4	Pescara	5	3	3	15:13	18
5	Torres	5	3	3	13:12	18
6	AC Reggiana	5	2	4	14:11	17
7	FC Guidonia Montecelio 1937	4	4	3	14:12	16
8	Livorno	4	4	3	16:16	16
9	Perugia	5	1	5	15:17	16
10	Campobasso	4	3	4	16:20	15
11	FC Vado	4	3	4	12:11	15
12	US Latina Calcio	3	5	3	11:11	14
13	ASD Pineto Calcio	3	5	3	9:11	14
14	Atalanta U23	4	0	6	11:15	12
15	Forli	2	5	3	16:16	11
16	Sambenedettese	2	4	5	16:18	10
17	AS Ostia Mare	2	3	6	10:14	9
18	US Pianese	1	5	4	6:10	8
19	Gubbio	2	1	8	10:21	7
20	Vis Pesaro	1	1	8	10:24	4

P	Team	W	D	L	Goals	PO
1	Torres	5	1	0	10:4	16
2	FC Guidonia Montecelio 1937	4	2	0	10:4	14
3	Spezia	4	1	0	9:2	13
4	Livorno	4	1	1	13:10	13
5	Ravenna	4	0	1	11:3	12
6	US Latina Calcio	3	3	0	7:2	12
7	Grosseto	3	2	1	10:6	11
8	ASD Pineto Calcio	3	2	1	6:6	11
9	AC Reggiana	3	1	1	7:3	10
10	Pescara	2	3	1	7:4	9
11	Perugia	3	0	3	5:8	9
12	Forli	2	2	0	10:6	8
13	US Pianese	1	4	0	3:2	7
14	FC Vado	2	1	2	5:4	7
15	Atalanta U23	2	0	2	5:6	6
16	Campobasso	1	2	2	8:12	5
17	Sambenedettese	1	2	3	9:11	5
18	Vis Pesaro	1	1	4	8:16	4
19	Gubbio	1	0	4	5:10	3
20	AS Ostia Mare	0	2	3	3:6	2

P	Team	W	D	L	Goals	PO
1	Spezia	5	1	0	10:3	16
2	Grosseto	3	2	0	13:7	11
3	Ravenna	3	2	1	9:3	11
4	Campobasso	3	1	2	8:8	10
5	Pescara	3	0	2	8:9	9
6	FC Vado	2	2	2	7:7	8
7	Perugia	2	1	2	10:9	7
8	AS Ostia Mare	2	1	3	7:8	7
8	AC Reggiana	2	1	3	7:8	7
10	Atalanta U23	2	0	4	6:9	6
11	Sambenedettese	1	2	2	7:7	5
12	Gubbio	1	1	4	5:11	4
13	Livorno	0	3	2	3:6	3
14	Forli	0	3	3	6:10	3
15	ASD Pineto Calcio	0	3	2	3:5	3
16	FC Guidonia Montecelio 1937	0	2	3	4:8	2
17	US Latina Calcio	0	2	3	4:9	2
18	Torres	0	2	3	3:8	2
19	US Pianese	0	1	4	3:8	1
20	Vis Pesaro	0	0	4	2:8	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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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

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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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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.

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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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Use in notifications - create alerts for matches where xG doesn't match the scoreline for value betting opportunities

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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
6 - Carlo De Risio	Manuel Tirelli - 21
10 - Davide Macri	Leonardo Di Cosmo - 37
11 - Nicola Farinelli	Gabriele Morelli - 19
19 - Tommaso Gabellini	Leonardo Bellini - 11
21 - Giovanni Mattioli	Francesco Proietto - 30
36 - Matteo Onofri	Luca Ercolani - 13
30 - Gabriele Perretta	Nicola Pintus - 23
26 - Luigi Palomba	Gianluca Astaldi - 1
22 - Luca Martelli	Marco Bertini - 27
23 - Jacopo Scaccabarozzi	Matteo Gorelli - 15
30 - Valentino Coveri	Simone Ianesi - 10
Substitutes
2 - Nicola Mandrelli	Tomasso Casalino - 4
15 - Federico Valentini	Tommaso Corti - 74
8 - Manuel Rosetti	Claudio Martey - 77
35 - Saer Diop	- Zambuto - 12
33 - Diego Rossi	Gabriele Negri - 14
14 - Alessandro Spinelli	Lorenzo Peli - 5
4 - Filippo Valentini	Lorenzo Vigiani - 20
18 - Giovanni Perini	Michele Pezzolato - 22
77 - Patrizio Zerbo	Luca Fabrizi - 29
12 - Giulio Veliaj	Matteo Colombo - 7
12 - Daniel Theiner	-
7 - Elia Petrelli	-
5 - Riccardo Gaiola	-

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[15] Forli 0 0 US Pianese [18]

Lineups

Lineup

Substitutes

1X2 Odds

Dangerous Attacks

Shots on Target

Shots off Target

Possession

Attacks

Forli vs US Pianese Statistics

Statistics based on last 5 10 15 games

Italy Serie C Group B

Serie C 26/27, Group B

Serie C 26/27, Group B

Serie C 26/27, Group B

Forli Reply_copy_4_2_ Created with Sketch.

US Pianese Reply_copy_4_2_ Created with Sketch.

Match notes Reply_copy_4_2_ Created with Sketch.

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Comeback & Winning Factor Analysis Unique

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^[15] Forli 0

0 US Pianese ^[18]

Statistics based on last games

Forli

US Pianese

Match notes