Dijon vs Metz – 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
	18-02-2023 18:00	2 ^[19] Dijon	0 - 0 0 - 0	Metz ^[4] 3	S: - 3.10 ? K: ?3.00 -	0%	? 1.900 ? 1.925	- ?	? 1.800, 2.000	?-? 28-16	6-7 3-4	?-? 2-1	3-5 3-1
	27-08-2022 13:00	4 ^[5] Metz	1 - 2	Dijon ^[4] 1 4	S: - 3.40 ? K: ?3.40 -	27%	? 1.800 ? 1.850	- ?	? 1.900, 1.900	?-?	14-6	?-?	6-4
	02-05-2021 13:00	1 1 ^[20] Dijon	1 - 5	Metz ^[10] 1	S: - 3.30 ? K: ?3.25 -	15%	? 1.940 ? 1.825	- ?	? 1.950, 1.850	?-?	10-15	?-?	6-3
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
Dijon	1.97	3	0	0	0	5	4
Metz	1.26	3	3	0	0	5	2

Last 15 minutes
Dijon	1	0	0	0	1	0
Metz	1	0	0	0	2	1

1st Half
Dijon	1	0	0	0	0	3
Metz	1	1	0	0	0	1

2nd half
Dijon	2	0	0	0	5	1
Metz	2	2	0	0	1	1

Last 5 minutes
Dijon	0	0	0	0	0	0
Metz	0	0	0	0	0	1

Last 10 minutes
Dijon	0	0	0	0	1	0
Metz	0	0	0	0	1	1

Last 15 minutes
Dijon	1	0	0	0	0	0
Metz	1	0	0	0	2	1

Last 20 minutes
Dijon	1	0	0	0	3	0
Metz	1	1	0	0	2	1

Last 25 minutes
Dijon	1	0	0	0	3	1
Metz	1	1	0	0	1	1

Since Last Goal
Dijon	0	0	0	0	0	0
Metz	0	0	0	0	0	0

P	Team	W	D	L	Goals	PO
1	St Etienne	8	1	1	23:8	25
2	Nancy	6	1	3	12:8	19
3	Montpellier	5	3	1	11:5	18
4	Reims	4	5	0	19:11	17
5	Pau	5	2	3	13:10	17
6	Red Star FC 93	5	2	2	12:10	17
7	Annecy	5	1	4	14:12	16
8	Metz	3	5	2	16:14	14
9	Dijon	3	3	4	17:18	12
10	Dunkerque	3	3	4	14:16	12
11	Guingamp	3	2	5	13:15	11
12	Sochaux	2	5	3	8:12	11
13	Rodez Aveyron	3	1	6	16:22	10
14	Boulogne	1	6	2	6:6	9
15	Nantes	2	2	6	11:17	8
16	Grenoble	2	2	6	9:17	8
17	Clermont Foot	0	7	3	9:14	7
18	Laval	1	3	6	13:21	6

P	Team	W	D	L	Goals	PO
1	St Etienne	5	0	0	13:2	15
2	Metz	3	2	0	12:7	11
3	Pau	3	1	2	8:6	10
4	Reims	2	3	0	13:9	9
5	Nancy	3	0	2	5:3	9
6	Montpellier	2	2	0	4:1	8
7	Dunkerque	2	2	2	8:7	8
8	Guingamp	2	1	2	8:9	7
9	Sochaux	2	1	2	4:7	7
10	Dijon	2	0	3	10:10	6
11	Laval	1	2	2	7:10	5
12	Annecy	1	1	2	5:5	4
13	Rodez Aveyron	1	1	3	8:11	4
14	Clermont Foot	0	4	2	3:6	4
15	Red Star FC 93	1	1	2	2:5	4
16	Nantes	1	1	3	5:9	4
17	Boulogne	0	3	1	3:4	3
18	Grenoble	0	2	2	2:5	2

P	Team	W	D	L	Goals	PO
1	Red Star FC 93	4	1	0	10:5	13
2	Annecy	4	0	2	9:7	12
3	St Etienne	3	1	1	10:6	10
4	Montpellier	3	1	1	7:4	10
5	Nancy	3	1	1	7:5	10
6	Reims	2	2	0	6:2	8
7	Pau	2	1	1	5:4	7
8	Boulogne	1	3	1	3:2	6
9	Dijon	1	3	1	7:8	6
10	Rodez Aveyron	2	0	3	8:11	6
11	Grenoble	2	0	4	7:12	6
12	Guingamp	1	1	3	5:6	4
13	Sochaux	0	4	1	4:5	4
14	Nantes	1	1	3	6:8	4
15	Dunkerque	1	1	2	6:9	4
16	Clermont Foot	0	3	1	6:8	3
17	Metz	0	3	2	4:7	3
18	Laval	0	1	4	6:11	1

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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
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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

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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
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.

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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

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
16 - Paul Delecroix	Believe Munongo - 18
75 - Boubacar Diallo	Maxime Colin - 2
7 - Ben-Chayeel Hamada	Bouna Sarr - 70
90 - Ange Lago	Pape Moussa Fall - 11
8 - Paul Bellon	Alpha Toure - 12
17 - Adel Lembezat	Jessy Deminguet - 8
23 - Lenny Lacroix	Giorgi Abuashvili - 9
20 - Hugo Vargas Rios	Cristian Devenish - 42
11 - Julio Tavares	Jean Ruiz - 5
14 - Jordan Marie	Jonathan Fischer - 1
5 - Quentin Bernard	Florian Miguel - 3
Substitutes
6 - Waly Diouf	Morgan Bokele - 19
21 - Samy Chouchane	Agne Ba - 88
18 - Brandon Nsimba Ndezi	Bryan Song - 39
93 - Ismail Bouleghcha	Abdourahmane Mbodji - 33
46 - Ylann Olivier Marie-Rose	Idris Mohamed - 98
9 - Tyris Dong	Pape Sy - 61
32 - Luis Puleri	Urie-Michel Mboula - 4
10 - Yanis Barka	Ibou Sane - 7
29 - Alexis Ntamack	Tahirys Dos Santos - 30

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[10] Dijon 4 2 Metz [9]

Lineups

Lineup

Substitutes

1X2 Odds

Dangerous Attacks

Shots on Target

Shots off Target

Possession

Attacks

Dijon vs Metz Statistics

Statistics based on last 5 10 15 games

France Ligue 2

Ligue 2 26/27

Ligue 2 26/27

Ligue 2 26/27

Dijon Reply_copy_4_2_ Created with Sketch.

Metz Reply_copy_4_2_ Created with Sketch.

Match notes Reply_copy_4_2_ Created with Sketch.

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^[10] Dijon 4

2 Metz ^[9]

Statistics based on last games

Dijon

Metz

Match notes