xgEdge

Saturday, 19/09/2026 at 18:00

Full time
Match report · Eliteserien

Molde FK 1:2 Aalesunds FK

Molde FK Home 1.62 xG · 14 shots
Aalesunds FK Away 1.05 xG · 12 shots
12 The result went against the chances

Molde FK were the model's likeliest winner before kick-off at 60%. Aalesunds FK won 2–1. The biggest difference was Molde FK's attack: 1.62 xG against 2.10 projected (−0.48).

Goals

  1. 7' Mathias Christensen Aalesunds FK · 0.12 xG chance 0–1
  2. 44' Isak Gabriel Skotheim Aalesunds FK · 0.21 xG chance 0–2
  3. 82' Kristian Lonebu Molde FK · 0.07 xG chance 1–2

The model against the result

priced before kick-off
Molde FK
60%
Draw
24%
Aalesunds FK
16% What happened

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

Projected vs produced

Expected goals
Molde FK The model projected 2.10 Produced 1.62 Difference -0.48
Aalesunds FK The model projected 1.11 Produced 1.05 Difference -0.06

Molde FK produced 0.48 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

Molde FK Aalesunds FK
Shots
14
12
On target
7
5
Inside the box
13
8
xG per shot
0.09
0.09
Open play xG
1.09
0.78
Set-piece xG
0.15
0.26
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: 1.22 for Molde FK and 1.05 for Aalesunds FK.

Shot map

Both teams shown attacking the same goal for comparison.

Aalesunds FK · Isak Gabriel Skotheim · 44' · Goal · 5 m · 0.21 xG Molde FK · Kristian Lonebu · 90' · No goal · 12 m · 0.20 xG Aalesunds FK · Isak Gabriel Skotheim · 40' · No goal · 4 m · 0.19 xG Molde FK · Trent Kone Doherty · 13' · No goal · 14 m · 0.15 xG Molde FK · Jalal Abdullai · 69' · No goal · 8 m · 0.14 xG Aalesunds FK · Marcus Haagensen Reed · 52' · No goal · 11 m · 0.13 xG Aalesunds FK · Mathias Christensen · 7' · Goal · 3 m · 0.12 xG Molde FK · Trent Kone Doherty · 19' · No goal · 7 m · 0.12 xG Molde FK · Kristian Lonebu · 80' · No goal · 11 m · 0.11 xG Aalesunds FK · Marcus Haagensen Reed · 38' · No goal · 9 m · 0.10 xG Aalesunds FK · Uba Charles · 38' · No goal · 6 m · 0.10 xG Molde FK · Emil Breivik · 90' · No goal · 12 m · 0.09 xG Molde FK · Sondre Milian Granaas · 21' · No goal · 6 m · 0.08 xG Molde FK · Niklas Odegard · 61' · No goal · 10 m · 0.08 xG Molde FK · Emil Breivik · 87' · No goal · 19 m · 0.08 xG Molde FK · Kristian Lonebu · 82' · Goal · 10 m · 0.07 xG Aalesunds FK · Endre Hjertager Osenbroch · 26' · No goal · 22 m · 0.05 xG Molde FK · Martin Linnes · 48' · No goal · 16 m · 0.05 xG Molde FK · Sondre Milian Granaas · 15' · No goal · 13 m · 0.03 xG Aalesunds FK · Uba Charles · 23' · No goal · 9 m · 0.03 xG Aalesunds FK · Mathias Christensen · 35' · No goal · 26 m · 0.03 xG Aalesunds FK · Elias Kristoffersen Hagen · 45' · No goal · 24 m · 0.03 xG Aalesunds FK · Uba Charles · 66' · No goal · 25 m · 0.03 xG Aalesunds FK · Cheick Mbacke Diop · 25' · No goal · 7 m · 0.02 xG Molde FK · Caleb Zady Sery · 52' · No goal · 22 m · 0.02 xG Molde FK · Emil Breivik · 62' · No goal · 21 m · 0.02 xG

All shots

26 shots · 2.28 xG

Hover, focus or tap a shot to read it.

  • Molde FK
  • Aalesunds FK
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Molde FK

2.30 xG created 0.99 xGA

  • D 1.62 created, 1.09 conceded against Sarpsborg 08
  • L 3.21 created, 0.66 conceded against Kristiansund BK
  • W 2.50 created, 0.65 conceded against Tromsø IL
  • W 1.73 created, 1.82 conceded against Vålerenga IF
  • W 1.81 created, 0.18 conceded against KFUM Oslo
  • W 2.92 created, 1.56 conceded against HamKam
Aalesunds FK

1.71 xG created 2.03 xGA

  • L 2.69 created, 1.86 conceded against Tromsø IL
  • D 0.63 created, 1.59 conceded against HamKam
  • D 2.08 created, 3.13 conceded against Vålerenga IF
  • L 0.87 created, 2.42 conceded against Viking FK
  • W 2.42 created, 1.67 conceded against IK Start
  • L 1.57 created, 1.48 conceded against KFUM Oslo

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

Head to head

Molde FK: 0 won · 1 drawn · 0 lost

Pre-match model & market record

7 opportunities flagged2 won5 lost

  • Lost
  • Won
  • Lost
  • Lost
  • Lost
  • Won
  • Lost
View pre-match record
The outcomes the model flagged on Molde FK against Aalesunds FK 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 4.33 +54.6% Lost
Molde FK at most 1 goal 4.33 +54.1% Won
Molde FK not to score 15.00 +53.5% Lost
Under 1.5 goals 11.00 +47.4% Lost
Draw 5.75 +36.1% Lost
Aalesunds FK to win 7.00 +14.6% Won
Aalesunds FK at most 1 goal 1.50 +4.1% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Molde FK 60.0% 70.3% −10.4 pp 1.67
Draw 23.7% 16.3% +7.4 pp 4.22
Aalesunds FK 16.4% 13.4% +3.0 pp 6.11

Other markets

Outcome Model Market Difference Fair odds
Molde FK to score 89.8% 93.6% −3.8 pp 1.11
Molde FK not to score 10.2% 6.4% +3.8 pp 9.77
Aalesunds FK to score 70.0% 70.9% −0.9 pp 1.43
Aalesunds FK not to score 30.0% 29.1% +0.9 pp 3.33
Both teams to score 64.1% 64.5% −0.4 pp 1.56
Both teams not to score 35.9% 35.5% +0.4 pp 2.79
Molde FK 2+ goals 64.4% 78.3% −13.9 pp 1.55
Molde FK at most 1 goal 35.6% 21.7% +13.9 pp 2.81
Aalesunds FK 2+ goals 30.6% 37.5% −6.9 pp 3.27
Aalesunds FK at most 1 goal 69.4% 62.5% +6.9 pp 1.44
Over 1.5 goals 86.6% 91.3% −4.7 pp 1.15
Under 1.5 goals 13.4% 8.7% +4.7 pp 7.46
Over 2.5 goals 64.3% 78.3% −14.0 pp 1.55
Under 2.5 goals 35.7% 21.7% +14.0 pp 2.80

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)
Molde FK sample
20 matches
Aalesunds FK sample
20 matches
Computed
9 hours before kick-off
Prices taken
9 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.