xgEdge

Sunday, 30/08/2026 at 17:00

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Match report · Eliteserien

Sandefjord Fotball 0:0 SK Brann

Sandefjord Fotball Home 0.97 xG · 20 shots
SK Brann Away 0.74 xG · 13 shots
00 The chances were evenly matched

SK Brann were the model's likeliest winner before kick-off at 35%. It finished 0–0. The biggest difference was SK Brann's attack: 0.74 xG against 1.30 projected (−0.56). Sandefjord Fotball produced 0.97 xG against 1.26 projected (−0.29).

The model against the result

priced before kick-off
Sandefjord Fotball
33%
Draw
31% What happened
SK Brann
35%

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

Projected vs produced

Expected goals
Sandefjord Fotball The model projected 1.26 Produced 0.97 Difference -0.29
SK Brann The model projected 1.30 Produced 0.74 Difference -0.56

SK Brann produced 0.56 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

Sandefjord Fotball SK Brann
Shots
20
13
On target
5
4
Inside the box
11
9
xG per shot
0.05
0.06
Open play xG
0.77
0.40
Set-piece xG
0.21
0.37
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: 0.98 for Sandefjord Fotball and 0.74 for SK Brann.

Shot map

Both teams shown attacking the same goal for comparison.

Sandefjord Fotball · Edvard Pettersen · 32' · No goal · 14 m · 0.14 xG Sandefjord Fotball · Hakon Krogelien · 38' · No goal · 8 m · 0.14 xG SK Brann · Noah Jean Holm · 52' · No goal · 4 m · 0.14 xG SK Brann · Noah Jean Holm · 72' · No goal · 4 m · 0.14 xG Sandefjord Fotball · Edvard Pettersen · 14' · No goal · 15 m · 0.11 xG SK Brann · Kjartan Mar Kjartansson · 83' · No goal · 8 m · 0.11 xG Sandefjord Fotball · Jakob Maslo Dunsby · 25' · No goal · 13 m · 0.10 xG Sandefjord Fotball · Edvard Pettersen · 37' · No goal · 17 m · 0.10 xG SK Brann · Joachim Soltvedt · 73' · No goal · 10 m · 0.07 xG SK Brann · Niklas Castro · 49' · No goal · 10 m · 0.06 xG Sandefjord Fotball · Jakob Maslo Dunsby · 9' · No goal · 19 m · 0.05 xG SK Brann · Joachim Soltvedt · 32' · No goal · 15 m · 0.05 xG SK Brann · Eggert Aron Guðmundsson · 8' · No goal · 21 m · 0.04 xG Sandefjord Fotball · Jakob Maslo Dunsby · 14' · No goal · 14 m · 0.04 xG Sandefjord Fotball · Evangelos Patoulidis · 14' · No goal · 13 m · 0.04 xG Sandefjord Fotball · Evangelos Patoulidis · 39' · No goal · 24 m · 0.04 xG Sandefjord Fotball · Jakob Maslo Dunsby · 56' · No goal · 8 m · 0.04 xG SK Brann · Kjartan Mar Kjartansson · 79' · No goal · 27 m · 0.04 xG SK Brann · Kristian Eriksen · 90' · No goal · 15 m · 0.04 xG SK Brann · Niklas Castro · 29' · No goal · 27 m · 0.03 xG Sandefjord Fotball · Jakob Maslo Dunsby · 34' · No goal · 16 m · 0.03 xG Sandefjord Fotball · Xander Lambrix · 48' · No goal · 9 m · 0.03 xG Sandefjord Fotball · Sebastian Holm Mathisen · 77' · No goal · 12 m · 0.03 xG SK Brann · Noah Jean Holm · 25' · No goal · 14 m · 0.02 xG Sandefjord Fotball · Edvard Pettersen · 50' · No goal · 23 m · 0.02 xG SK Brann · Ulrik Mathisen · 62' · No goal · 10 m · 0.02 xG Sandefjord Fotball · Bendik Berntsen · 90' · No goal · 9 m · 0.02 xG SK Brann · Joachim Soltvedt · 6' · No goal · 29 m · 0.01 xG Sandefjord Fotball · Evangelos Patoulidis · 26' · No goal · 24 m · 0.01 xG Sandefjord Fotball · Edvard Pettersen · 47' · No goal · 35 m · 0.01 xG Sandefjord Fotball · Evangelos Patoulidis · 47' · No goal · 38 m · 0.01 xG Sandefjord Fotball · Evangelos Patoulidis · 57' · No goal · 30 m · 0.01 xG Sandefjord Fotball · Bendik Berntsen · 84' · No goal · 32 m · 0.01 xG

All shots

33 shots · 1.75 xG

Hover, focus or tap a shot to read it.

  • Sandefjord Fotball
  • SK Brann
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Sandefjord Fotball

1.00 xG created 2.03 xGA

  • D 0.83 created, 1.70 conceded against HamKam
  • L 0.38 created, 2.16 conceded against Viking FK
  • L 0.69 created, 2.18 conceded against Bodø/Glimt
  • L 1.05 created, 1.44 conceded against Fredrikstad FK
  • L 1.33 created, 2.25 conceded against KFUM Oslo
  • W 1.69 created, 2.43 conceded against Sarpsborg 08
SK Brann

1.47 xG created 1.38 xGA

  • L 0.76 created, 1.10 conceded against Sarpsborg 08
  • W 1.83 created, 1.29 conceded against IK Start
  • W 0.71 created, 1.36 conceded against Molde FK
  • L 2.37 created, 2.34 conceded against Vålerenga IF
  • W 0.78 created, 1.93 conceded against Rosenborg BK
  • W 2.38 created, 0.24 conceded against HamKam

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

Head to head

Sandefjord Fotball: 1 won · 0 drawn · 2 lost

Pre-match model & market record

4 opportunities flagged4 won0 lost

  • Won
  • Won
  • Won
  • Won
View pre-match record
The outcomes the model flagged on Sandefjord Fotball against SK Brann before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Under 2.5 goals 2.70 +24.3% Won
Draw 3.80 +17.5% Won
Under 1.5 goals 6.00 +16.2% Won
Both teams not to score 2.50 +4.8% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
Sandefjord Fotball 33.2% 29.4% +3.8 pp 3.01
Draw 31.3% 24.7% +6.6 pp 3.19
SK Brann 35.4% 45.9% −10.4 pp 2.82

Other markets

Outcome Model Market Difference Fair odds
Both teams to score 58.1% 62.5% −4.4 pp 1.72
Both teams not to score 41.9% 37.5% +4.4 pp 2.38
Over 1.5 goals 76.8% 84.2% −7.5 pp 1.30
Under 1.5 goals 23.2% 15.8% +7.5 pp 4.30
Over 2.5 goals 48.2% 65.2% −16.9 pp 2.07
Under 2.5 goals 51.8% 34.8% +16.9 pp 1.93

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)
Sandefjord Fotball sample
20 matches
SK Brann sample
20 matches
Computed
1 day before kick-off
Prices taken
7 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.