FK Austria Vienna vs Paksi – 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							Saves	Shots Blocked	Fouls	Ball Safe
FK Austria Vienna	3	0	0	0	6	5	0	2	7	77	0	4
Paksi	2	1	0	0	5	0	0	1	8	76	1	1

Last 15 minutes
FK Austria Vienna	0	0	0	0	0	0
Paksi	0	1	0	0	1	0

1st Half
FK Austria Vienna	3	0	0	0	2	1
Paksi	1	0	0	0	2	0

2nd half
FK Austria Vienna	0	0	0	0	4	3
Paksi	1	1	0	0	1	1

Last 5 minutes
FK Austria Vienna	0	0	0	0	0	0
Paksi	0	0	0	0	0	0

Last 10 minutes
FK Austria Vienna	0	0	0	0	0	0
Paksi	0	1	0	0	0	0

Last 15 minutes
FK Austria Vienna	0	0	0	0	0	0
Paksi	0	1	0	0	1	0

Last 20 minutes
FK Austria Vienna	0	0	0	0	1	0
Paksi	1	1	0	0	1	0

Last 25 minutes
FK Austria Vienna	0	0	0	0	1	1
Paksi	1	1	0	0	0	0

Since Last Goal
FK Austria Vienna	0	0	0	0	1	0
Paksi	1	1	0	0	1	0

P	Team	W	D	L	Goals	PO
1	LASK Linz	1	0	0	3:0	3
1	Wolfsberger AC	1	0	0	3:0	3
3	FC Salzburg	1	0	0	1:0	3
3	Rapid Vienna	1	0	0	1:0	3
5	Austria Lustenau	0	1	0	1:1	1
5	SK Sturm Graz	0	1	0	1:1	1
5	SV Ried	0	1	0	1:1	1
5	WSG Swarovski Tirol	0	1	0	1:1	1
9	SCR Altach	0	0	1	0:1	0
9	Hartberg	0	0	1	0:1	0
11	FK Austria Vienna	0	0	1	0:3	0
11	Grazer AK	0	0	1	0:3	0

P	Team	W	D	Goals	PO
1	LASK Linz	1	0	3:0	3
1	Wolfsberger AC	1	0	3:0	3
3	FC Salzburg	1	0	1:0	3
3	Rapid Vienna	1	0	1:0	3
5	Austria Lustenau	0	1	1:1	1
5	WSG Swarovski Tirol	0	1	1:1	1
7	FK Austria Vienna	0	0	0:0	0
7	Grazer AK	0	0	0:0	0
7	SCR Altach	0	0	0:0	0
7	SK Sturm Graz	0	0	0:0	0
7	SV Ried	0	0	0:0	0
7	Hartberg	0	0	0:0	0

P	Team	D	L	Goals	PO
1	SK Sturm Graz	1	0	1:1	1
1	SV Ried	1	0	1:1	1
3	Austria Lustenau	0	0	0:0	0
3	FC Salzburg	0	0	0:0	0
3	LASK Linz	0	0	0:0	0
3	Rapid Vienna	0	0	0:0	0
3	Wolfsberger AC	0	0	0:0	0
3	WSG Swarovski Tirol	0	0	0:0	0
9	SCR Altach	0	1	0:1	0
9	Hartberg	0	1	0:1	0
11	FK Austria Vienna	0	1	0:3	0
11	Grazer AK	0	1	0:3	0

P	Team	W	D	L	Goals	PO
1	Gyori ETO	1	1	0	6:2	4
2	MTK Budapest	1	1	0	6:3	4
3	Kisvarda FC	1	1	0	3:1	4
4	Ujpest	1	0	1	5:4	3
5	Zalaegerszegi TE	1	0	1	5:5	3
6	Puskas Academy	1	0	1	2:2	3
7	Paksi	1	0	1	6:7	3
8	Nyiregyhaza Spartacus	1	0	1	2:5	3
9	Kispest Honved	0	2	0	4:4	2
10	Vasas SC	0	2	0	2:2	2
11	Ferencvarosi TC	0	1	1	2:4	1
12	Debreceni VSC	0	0	2	2:6	0

P	Team	W	D	L	Goals	PO
1	Gyori ETO	1	0	0	4:0	3
2	Zalaegerszegi TE	1	0	0	5:2	3
3	MTK Budapest	1	0	0	3:0	3
4	Paksi	1	0	0	4:2	3
4	Ujpest	1	0	0	4:2	3
6	Nyiregyhaza Spartacus	1	0	0	2:1	3
7	Kispest Honved	0	1	0	3:3	1
8	Vasas SC	0	1	0	2:2	1
9	Kisvarda FC	0	1	0	1:1	1
10	Ferencvarosi TC	0	1	0	0:0	1
11	Debreceni VSC	0	0	1	0:2	0
11	Puskas Academy	0	0	1	0:2	0

P	Team	W	D	L	Goals	PO
1	Kisvarda FC	1	0	0	2:0	3
1	Puskas Academy	1	0	0	2:0	3
3	MTK Budapest	0	1	0	3:3	1
4	Gyori ETO	0	1	0	2:2	1
5	Kispest Honved	0	1	0	1:1	1
6	Vasas SC	0	1	0	0:0	1
7	Ujpest	0	0	1	1:2	0
8	Debreceni VSC	0	0	1	2:4	0
8	Ferencvarosi TC	0	0	1	2:4	0
10	Paksi	0	0	1	2:5	0
11	Zalaegerszegi TE	0	0	1	0:3	0
12	Nyiregyhaza Spartacus	0	0	1	0:4	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
xG Stats: Expected goals available on both match pages and in-play pages within the likelihood stats column
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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
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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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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
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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.

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FK Austria Vienna 4 1 Paksi

1X2 Odds

Dangerous Attacks

Shots on Target

Shots off Target

Possession

Attacks

Statistics based on last 5 10 15 games

Austria Bundesliga

Bundesliga 26/27

Bundesliga 26/27

Bundesliga 26/27

Hungary NB I

NB I 26/27

NB I 26/27

NB I 26/27

FK Austria Vienna Reply_copy_4_2_ Created with Sketch.

Paksi Reply_copy_4_2_ Created with Sketch.

Match notes Reply_copy_4_2_ Created with Sketch.

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FK Austria Vienna 4

1 Paksi

Statistics based on last games

FK Austria Vienna

Paksi

Match notes