Sotra vs Vard Haugesund – 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
	11-10-2025 12:00	2 ^[2] Sotra	1 - 0 1 - 0	Vard Haugesund ^[13] 2	S: - 4.50 ? K: ?3.80 -	29%	? 1.850 ? 1.775	- ?	-	?-? 29-19	11-8 6-6	?-? 5-4	7-5 2-3
	19-04-2025 13:00	Vard Haugesund	0 - 2	Sotra		0%	- ? -	-	-	?-?	0-0	?-?	0-0
	14-09-2024 13:00	^[11] Sotra	4 - 0 0 - 0	Vard Haugesund ^[7] 1	S: - 3.75 ? K: ?4.33 -	19%	? 1.950 ? 1.825	- ?	-	?-? 37-9	24-4 8-2	?-? 4-1	13-3 9-1
	20-04-2024 12:00	4 1 ^[5] Vard Haugesund	1 - 1 1 - 0	Sotra ^[3]	S: - 4.00 ? K: ?4.00 -	15%	? 1.825 ? 1.950	- ?	-	?-? 45-30	5-8 4-4	?-? 3-4	5-7 4-1
	11-06-2022 13:00	1 ^[13] Vard Haugesund	0 - 2	Sotra ^[10] 1	S: - 3.80 ? K: ?4.33 -	6%	? 2.050 ? 1.900	- ?	? 1.925, 1.875	?-?	14-17	?-?	4-8
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
Sotra	8	1	0	1	0	5
Vard Haugesund	6	3	0	0	0	2

P	Team	W	D	L	Goals	PO
1	Os	11	0	3	52:26	33
2	Askøy	9	4	1	25:14	31
3	Vard Haugesund	7	4	3	32:25	25
4	Brann 2	7	3	3	32:21	24
5	Djerv 1919	6	5	3	31:20	23
6	Sogndal 2	6	2	5	37:27	20
7	Førde	6	2	6	23:28	20
8	Fana	6	1	7	34:32	19
9	Austevoll	4	5	5	29:36	17
10	Stord	3	5	5	23:31	14
11	Åsane Fotball 2	3	4	7	22:31	13
12	Gneist	4	1	9	28:42	13
13	Varegg	2	3	8	16:28	9
14	Fyllingsdalen	1	3	10	15:38	6

P	Team	W	D	L	Goals	PO
1	Os	7	0	0	33:8	21
2	Askøy	5	2	0	12:3	17
3	Vard Haugesund	5	1	1	25:13	16
4	Brann 2	5	0	1	20:8	15
5	Djerv 1919	4	2	1	17:10	14
6	Fana	4	1	2	19:13	13
7	Førde	4	1	2	13:9	13
8	Gneist	3	0	5	18:23	9
9	Varegg	2	2	3	9:11	8
10	Austevoll	2	2	3	11:18	8
11	Sogndal 2	2	1	3	11:11	7
12	Fyllingsdalen	1	2	4	10:17	5
13	Stord	0	4	3	13:20	4
14	Åsane Fotball 2	0	3	3	9:15	3

P	Team	W	D	L	Goals	PO
1	Askøy	4	2	1	13:11	14
2	Sogndal 2	4	1	2	26:16	13
3	Os	4	0	3	19:18	12
4	Stord	3	1	2	10:11	10
5	Åsane Fotball 2	3	1	4	13:16	10
6	Djerv 1919	2	3	2	14:10	9
7	Austevoll	2	3	2	18:18	9
8	Brann 2	2	3	2	12:13	9
9	Vard Haugesund	2	3	2	7:12	9
10	Førde	2	1	4	10:19	7
11	Fana	2	0	5	15:19	6
12	Gneist	1	1	4	10:19	4
13	Varegg	0	1	5	7:17	1
14	Fyllingsdalen	0	1	6	5:21	1

P	Team	W	D	L	Goals	PO
1	Jerv	10	2	2	28:15	32
2	Kvik Halden FK	8	3	3	27:18	27
3	Brattvåg	8	2	4	26:15	26
4	Mjondalen	8	2	4	27:19	26
5	Bjarg	8	1	5	25:20	25
6	Notodden	7	3	4	21:11	24
7	Træff	6	4	4	27:23	22
8	Sotra	6	3	5	27:14	21
9	Pors Grenland	5	4	5	16:18	19
10	Arendal	3	5	6	18:23	14
11	Sandviken	4	2	8	21:32	14
12	Lysekloster	3	5	6	17:28	14
13	Vidar	1	3	10	13:37	6
14	Eik Tønsberg	1	1	12	16:36	4

P	Team	W	D	L	Goals	PO
1	Mjondalen	5	1	1	16:6	16
2	Træff	4	2	2	19:13	14
3	Kvik Halden FK	4	1	2	10:5	13
4	Jerv	4	1	1	10:6	13
5	Brattvåg	4	0	2	13:8	12
6	Sotra	3	1	3	17:8	10
7	Bjarg	3	1	3	13:13	10
8	Arendal	2	3	2	11:8	9
9	Pors Grenland	2	2	4	7:11	8
10	Lysekloster	1	3	3	7:11	6
11	Sandviken	2	0	5	12:18	6
12	Notodden	1	2	3	4:6	5
13	Vidar	1	2	5	10:21	5
14	Eik Tønsberg	1	1	5	11:15	4

P	Team	W	D	L	Goals	PO
1	Notodden	6	1	1	17:5	19
2	Jerv	6	1	1	18:9	19
3	Bjarg	5	0	2	12:7	15
4	Brattvåg	4	2	2	13:7	14
5	Kvik Halden FK	4	2	1	17:13	14
6	Sotra	3	2	2	10:6	11
7	Pors Grenland	3	2	1	9:7	11
8	Mjondalen	3	1	3	11:13	10
9	Træff	2	2	2	8:10	8
10	Sandviken	2	2	3	9:14	8
11	Lysekloster	2	2	3	10:17	8
12	Arendal	1	2	4	7:15	5
13	Vidar	0	1	5	3:16	1
14	Eik Tønsberg	0	0	7	5:21	0

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Live Match Statistics: Real-time stats including dangerous attacks, corners, shots, and pressure index for all in-play matches
Likelihood Stats: Color-coded system covering all markets from First Half Overs to Corners, making it easy to spot whether odds are backed by statistics
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
xG Stats: Expected goals available on both match pages and in-play pages within the likelihood stats column
Pressure Index: Combines dangerous attacks, total shots, and corners to measure which team is dominating the match

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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:

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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
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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
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.

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.

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[9] Sotra 5 2 Vard Haugesund [10]

1X2 Odds

Dangerous Attacks

Shots on Target

Shots off Target

Possession

Attacks

Statistics based on last 5 10 15 games

Norway Division 3 Group 3

Group 3

Group 3

Group 3

Norway Division 2 Group 1

2. Division 2026, Group 1

2. Division 2026, Group 1

2. Division 2026, Group 1

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Vard Haugesund Reply_copy_4_2_ Created with Sketch.

Match notes Reply_copy_4_2_ Created with Sketch.

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^[9] Sotra 5

2 Vard Haugesund ^[10]

Statistics based on last games

Sotra

Vard Haugesund

Match notes