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Friday, 11/09/2026 at 19:30

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Match report · Austrian Bundesliga

SV Ried 1:1 Red Bull Salzburg

SV Ried Home 0.82 xG · 8 shots
Red Bull Salzburg Away 1.56 xG · 24 shots
11 Red Bull Salzburg had the better chances, but it finished level

Red Bull Salzburg were the model's likeliest winner before kick-off at 50%. It finished 1–1. The biggest difference was SV Ried's attack: 0.82 xG against 1.32 projected (−0.50). Red Bull Salzburg produced 1.56 xG against 1.90 projected (−0.34).

Goals

  1. 84' Karim Konaté Red Bull Salzburg · 0.08 xG chance 0–1
  2. 86' Philipp Pomer SV Ried · 0.13 xG chance 1–1

The model against the result

priced before kick-off
SV Ried
24%
Draw
26% What happened
Red Bull Salzburg
50%

Data coverage Both teams have the full 20-match model window available.

Projected vs produced

Expected goals
SV Ried The model projected 1.32 Produced 0.82 Difference -0.50
Red Bull Salzburg The model projected 1.90 Produced 1.56 Difference -0.34

SV Ried produced 0.50 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

SV Ried Red Bull Salzburg
Shots
8
24
On target
2
6
Inside the box
6
14
xG per shot
0.11
0.06
Open play xG
0.65
1.29
Set-piece xG
0.22
0.20
Penalties
—
—
Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 0.87 for SV Ried and 1.48 for Red Bull Salzburg.

Shot map

Both teams shown attacking the same goal for comparison.

SV Ried · Lukas Malicsek · 86' · No goal · 10 m · 0.38 xG Red Bull Salzburg · Yorbe Vertessen · 51' · No goal · 7 m · 0.24 xG SV Ried · Niama Pape Sissoko · 49' · No goal · 14 m · 0.16 xG Red Bull Salzburg · Haris Tabaković · 32' · No goal · 1 m · 0.15 xG SV Ried · Philipp Pomer · 86' · Goal · 3 m · 0.13 xG Red Bull Salzburg · Yorbe Vertessen · 14' · No goal · 7 m · 0.12 xG Red Bull Salzburg · Yorbe Vertessen · 27' · No goal · 11 m · 0.11 xG Red Bull Salzburg · Kévin Boma · 45' · No goal · 7 m · 0.08 xG Red Bull Salzburg · Karim Konaté · 84' · Goal · 9 m · 0.08 xG Red Bull Salzburg · Haris Tabaković · 83' · No goal · 11 m · 0.07 xG Red Bull Salzburg · Haris Tabaković · 62' · No goal · 15 m · 0.06 xG Red Bull Salzburg · Haris Tabaković · 6' · No goal · 10 m · 0.05 xG Red Bull Salzburg · Sota Kitano · 14' · No goal · 22 m · 0.05 xG Red Bull Salzburg · Bartosz Mazurek · 24' · No goal · 18 m · 0.05 xG Red Bull Salzburg · Edmund Baidoo · 33' · No goal · 10 m · 0.05 xG Red Bull Salzburg · Yorbe Vertessen · 54' · No goal · 5 m · 0.05 xG SV Ried · Philipp Pomer · 57' · No goal · 21 m · 0.05 xG SV Ried · Samuel Johansen Chukwudi · 68' · No goal · 11 m · 0.05 xG SV Ried · Joris Boguo · 68' · No goal · 5 m · 0.05 xG Red Bull Salzburg · Haris Tabaković · 88' · No goal · 11 m · 0.05 xG Red Bull Salzburg · Bartosz Mazurek · 12' · No goal · 24 m · 0.04 xG Red Bull Salzburg · Abubakr Barry · 30' · No goal · 23 m · 0.04 xG SV Ried · Samuel Johansen Chukwudi · 56' · No goal · 15 m · 0.04 xG Red Bull Salzburg · Bartosz Mazurek · 61' · No goal · 23 m · 0.04 xG Red Bull Salzburg · Edmund Baidoo · 9' · No goal · 15 m · 0.03 xG Red Bull Salzburg · Yorbe Vertessen · 28' · No goal · 26 m · 0.03 xG Red Bull Salzburg · Nikolas Veratschnig · 71' · No goal · 9 m · 0.03 xG Red Bull Salzburg · Bartosz Mazurek · 6' · No goal · 27 m · 0.02 xG Red Bull Salzburg · Sota Kitano · 34' · No goal · 23 m · 0.02 xG Red Bull Salzburg · Bartosz Mazurek · 70' · No goal · 22 m · 0.02 xG SV Ried · Philipp Pomer · 59' · No goal · 51 m · 0.01 xG Red Bull Salzburg · Abubakr Barry · 62' · No goal · 24 m · 0.01 xG

All shots

32 shots · 2.36 xG

Hover, focus or tap a shot to read it.

  • SV Ried
  • Red Bull Salzburg
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
SV Ried

1.45 xG created 1.84 xGA

  • L 0.50 created, 2.17 conceded against SK Rapid Wien
  • D 2.92 created, 0.78 conceded against SC Austria Lustenau
  • L 1.07 created, 1.77 conceded against SK Rapid Wien
  • L 0.76 created, 2.32 conceded against LASK
  • W 1.75 created, 1.24 conceded against Grazer AK 1902
  • L 1.67 created, 2.78 conceded against TSV Hartberg
Red Bull Salzburg

2.90 xG created 1.22 xGA

  • L 1.84 created, 1.05 conceded against TSV Hartberg
  • W 4.11 created, 0.73 conceded against TSV Hartberg
  • D 3.52 created, 0.93 conceded against Wolfsberger AC
  • W 3.47 created, 2.81 conceded against WSG Tirol
  • W 1.71 created, 0.76 conceded against Austria Wien
  • W 2.75 created, 1.02 conceded against SK Rapid Wien

xG created xG conceded (xGA) W / D / L: the match result

Head to head

SV Ried: 0 won · 1 drawn · 1 lost

Pre-match model & market record

3 opportunities flagged2 won1 lost

  • Lost
  • Won
  • Won
View pre-match record
The outcomes the model flagged on SV Ried against Red Bull Salzburg before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
SV Ried to win 5.75 +38.5% Lost
Draw 4.50 +16.9% Won
Both teams to score 1.53 +3.9% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
SV Ried 24.1% 16.4% +7.7 pp 4.15
Draw 26.0% 20.9% +5.1 pp 3.85
Red Bull Salzburg 49.9% 62.7% −12.8 pp 2.00

Other markets

Outcome Model Market Difference Fair odds
Both teams to score 67.7% 60.8% +7.0 pp 1.48
Both teams not to score 32.3% 39.2% −7.0 pp 3.10
Over 1.5 goals 86.8% 82.8% +4.0 pp 1.15
Under 1.5 goals 13.2% 17.2% −4.0 pp 7.55
Over 2.5 goals 64.5% 62.5% +2.0 pp 1.55
Under 2.5 goals 35.5% 37.5% −2.0 pp 2.82

Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
SV Ried sample
20 matches
Red Bull Salzburg sample
20 matches
Computed
8 hours before kick-off
Prices taken
8 hours before kick-off

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.