Norwegian Eliteserien9°21 km/h

    Läs på svenska
    AalesundAalesundLow block & direct
    vs
    SandefjordSandefjordCounter-attacks & crosses
    The model's lean: 1 · Aalesund (43%)

    Aalesund vs Sandefjord · Norwegian Eliteserien

    1 · Aalesund 43%X 26%31% Sandefjord · 2

    Prediction summary

    BetBuilders AI model prediction for Aalesund vs Sandefjord (Norwegian Eliteserien, Saturday, 24 October 2026): Aalesund win 43%, draw 26%, Sandefjord win 31%. Expected goals (xG): Aalesund 1.69, Sandefjord 1.39. Most likely score: 1-1 (11%). Over 2.5 goals 60%, both teams to score 62%. Double chance: Aalesund or draw 69%, Sandefjord or draw 57%. Prediction updated Friday, 16 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Aalesund – Sandefjord

    Anna Karlsson · · A data-driven preview · How the predictions work

    TEXT: Sixteen consecutive league matches with a goal — that's the striking streak Aalesund brings into their clash with Sandefjord. This offensive consistency lends weight to the model's lean towards the hosts, with a 43% probability of a home win. Despite a solitary head-to-head encounter since 2021, which Sandefjord edged, the sample is too small to overshadow current form and expected goals.

    Aalesund's direct, low-defense approach has translated into an average xG of 1.5 per match, outpacing their visitors' 1.2. However, their defensive frailties are evident with 2.1 xGA per game, compared to Sandefjord's 1.8. This disparity suggests that while the hosts may find the net, keeping Sandefjord at bay is another story. Both teams to score is backed by a 62% probability, aligning with the attacking profiles and recent form.

    The market expects over 2.5 goals at 60%, and with Aalesund's scoring streak, it's a credible angle. The most likely scoreline of 1-1 and a narrow home win of 2-1 indicate a tight contest. Aalesund's offensive edge and the model's lean make them the more attractive side to watch in this matchup.

    AalesundAalesund
    Form WLWLW
    League ranking xG #10xGA #16xT #9xP/match #9Points #14
    Key players
    • Kristian Hemmingsen LonebuFxG 0.26 · xT 0.02
    • Mathias Minik Fals Schandorff ChristensenCMxG 0.18 · xT 0.11
    • Marcus Haagensen ReedFxG 0.48 · xT 0.04
    SandefjordSandefjord
    Form DLWDL
    League ranking xG #13xGA #11xT #11xP/match #15Points #13
    Key players
    • Zinedin SmajlovicCBxG 0.04 · xT 0.12
    • Sebastian Holm MathisenFxG 0.27 · xT 0.03
    • Evangelos PatoulidisRWxG 0.16 · xT 0.24

    Match prediction: Aalesund – Sandefjord

    Predicted score matrix

    Sandefjord →
    Aalesund →
    0
    1
    2
    3
    4+
    0
    0–04.9%
    0–16.1%
    0–24.4%
    0–32.1%
    0–4+1.0%
    1
    1–07.4%
    1–111.1%
    1–27.5%
    1–33.5%
    1–4+1.6%
    2
    2–06.6%
    2–19.1%
    2–26.3%
    2–32.9%
    2–4+1.4%
    3
    3–03.7%
    3–15.1%
    3–23.6%
    3–31.7%
    3–4+0.8%
    4+
    4+–02.3%
    4+–13.2%
    4+–22.2%
    4+–31.0%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.2-07%
    Expected goals
    1,69–1,39
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    –
    Over 2,560%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Aalesund or draw (1X)69%
    • Over 1.5 goals82%

    Combined probability

    56%

    Fair odds

    1.77

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Double chance Aalesund or draw (1X)69%
    • Over 2.5 goals60%
    • Kristian Hemmingsen Lonebu to score21%

    Combined probability

    –

    Fair odds

    –

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score62%
    • Over 2.5 goals60%
    • Nikolaj Duus Möller to score23%
    • Zinedin Smajlović to be booked19%

    Combined probability

    –

    Fair odds

    –

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    Aalesund 0Draw 0Sandefjord 1
    Goals: 0–1 (⌀ 1)

    Head-to-head based on Eliteserien data since 2021.

    Key facts

    • Aalesund have scored in 16 consecutive league matches.
    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Aalesund
    Sandefjord
    When goals are scored and conceded — 2026
    Aalesund (39–51)
    Sandefjord (22–30)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Aalesund
    Mathias Minik Fals Schandorff Christensen: 246 passningar, xT 1.44ChristensenCheikh Mbacke Diop: 184 passningar, xT 0.28DiopElias Hagen: 172 passningar, xT 0.1HagenOlafur Gudmundsson: 167 passningar, xT 0.28GudmundssonKristoffer Nesso: 134 passningar, xT 0.78NessoUba Charles: 127 passningar, xT 1.07CharlesLuca Podlech: 110 passningar, xT 0.32PodlechMarius Andresen: 97 passningar, xT 0.14AndresenIsak Gabriel Skotheim: 68 passningar, xT 0.39SkotheimSander Erik Kartum: 63 passningar, xT 0.37KartumMarcus Haagensen Reed: 57 passningar, xT -0.09Reed
    Sandefjord
    Rasmus Holten: 316 passningar, xT 0.59HoltenXander Lambrix: 287 passningar, xT 0.63LambrixSander Risan Mork: 269 passningar, xT 0.4MorkElias Hadaya: 140 passningar, xT 0.14HadayaFredrik Carson Pedersen: 121 passningar, xT 0.11PedersenTobias Borchgrevink Børkeeiet: 113 passningar, xT 0.28BørkeeietGustav Højbjerg: 100 passningar, xT 0.19HøjbjergJakob Dunsby: 85 passningar, xT 0.44DunsbyErvin Gigović: 83 passningar, xT 0.22GigovićVetle Walle Egeli: 81 passningar, xT 0.02EgeliEvangelos Patoulidis: 78 passningar, xT 0.47Patoulidis
    xT networks

    The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.

    Aalesund
    Mathias Minik Fals Schandorff Christensen: 246 passningar, xT 1.44ChristensenCheikh Mbacke Diop: 184 passningar, xT 0.28DiopElias Hagen: 172 passningar, xT 0.1HagenOlafur Gudmundsson: 167 passningar, xT 0.28GudmundssonKristoffer Nesso: 134 passningar, xT 0.78NessoUba Charles: 127 passningar, xT 1.07CharlesLuca Podlech: 110 passningar, xT 0.32PodlechMarius Andresen: 97 passningar, xT 0.14AndresenIsak Gabriel Skotheim: 68 passningar, xT 0.39SkotheimSander Erik Kartum: 63 passningar, xT 0.37KartumMarcus Haagensen Reed: 57 passningar, xT -0.09Reed
    Sandefjord
    Rasmus Holten: 316 passningar, xT 0.59HoltenXander Lambrix: 287 passningar, xT 0.63LambrixSander Risan Mork: 269 passningar, xT 0.4MorkElias Hadaya: 140 passningar, xT 0.14HadayaFredrik Carson Pedersen: 121 passningar, xT 0.11PedersenTobias Borchgrevink Børkeeiet: 113 passningar, xT 0.28BørkeeietGustav Højbjerg: 100 passningar, xT 0.19HøjbjergJakob Dunsby: 85 passningar, xT 0.44DunsbyErvin Gigović: 83 passningar, xT 0.22GigovićVetle Walle Egeli: 81 passningar, xT 0.02EgeliEvangelos Patoulidis: 78 passningar, xT 0.47Patoulidis

    The teams in numbers

    PerformanceAalesundSandefjord
    Points2424
    xPoints29.727.2
    xG per match1.51.2
    xGA per match2.11.8
    xG within 8s of winning the ball0.250.28
    xGA within 8s of losing the ball0.380.24
    Playing styleAalesundSandefjord
    Build-up efficiency0.340.29
    Field tilt0.430.41
    xT per match10.99
    xTA per match1.41.3
    Won balls, offensive half2524
    Pressing intensity0.240.24
    Pressing efficiency0.280.28
    Pressing efficiency, offensive half0.250.26
    Entries into the box per match1312
    Entries into the box against1719
    Pass completion %0.710.78
    Pass completion % under pressure0.690.74
    Passes per match304397
    Passes against per match411385
    Switches of play per match15.628.5
    Long balls per match2638
    Set piecesAalesundSandefjord
    xG from free kicks0.040.01
    Corners per match5.35.2
    Corners against per match7.46.3
    xG per corner0.030.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.340.37
    First touch, defensive corners %0.50.6
    OtherAalesundSandefjord
    Throw-in control0.680.68
    The goalkeepersKristoffer Klaesson (Aalesund)Elias Hadaya (Sandefjord)
    Saves4282
    Save %69%73%
    xG prevented49%55%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Aalesund vs Sandefjord according to our model?

    The model gives Aalesund a 43% win probability. Full 1X2 picture: Aalesund 43%, draw 26%, Sandefjord 31%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 62% according to the model.

    How many goals are expected in Aalesund vs Sandefjord?

    The model expects 1.69 goals (xG) for Aalesund and 1.39 for Sandefjord, 3.08 in total.

    What does the model say about double chance?

    Aalesund or draw (1X) 69%, Sandefjord or draw (X2) 57% and no draw (12) 74%.

    Why are some legs locked in the bet builder?

    The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.