Norwegian Eliteserien: Predictions, Odds & Tips

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    Model-based predictions for the Eliteserien — Bodø/Glimt, Rosenborg, Brann, Molde and the rest of the Norwegian top flight, analysed by the same match model that powers PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals and over/under lines, built from hundreds of data points per team: strength, form, playing style, squad and weather.

    The predictions are held against live odds from multiple bookmakers, with positive expected value (EV+) flagged where the model’s probability beats the implied odds. Played matches are graded openly — hit or miss — and everything updates continuously until kickoff.

    Upcoming matches

    BrannBrann
    vs
    VikingViking
    1 29%X 23%2 48%
    Soft draw
    LillestrømLillestrøm
    vs
    MoldeMolde
    1 37%X 27%2 37%
    StartStart
    vs
    HamarkamerateneHamarkameratene
    1 47%X 28%2 25%
    FredrikstadFredrikstad
    vs
    TromsøTromsø
    1 34%X 25%2 41%
    AalesundAalesund
    vs
    SarpsborgSarpsborg
    1 34%X 27%2 39%
    Bodø/GlimtBodø/Glimt
    vs
    KristiansundKristiansund
    1 83%X 11%2 6%
    KFUMKFUM
    vs
    VålerengaVålerenga
    1 29%X 27%2 44%
    RosenborgRosenborg
    vs
    SandefjordSandefjord
    1 61%X 21%2 18%

    League table2026

    PosTeamPSW–D–LGF–GAxPxGxGAxGDFTStyle
    1Viking502116–2–354–2036,349,827,7+22,161 %Possession & high press
    2Bodø/Glimt502116–2–353–1941,162,020,6+41,482 %Possession & high press
    3Tromsø382111–5–540–2933,237,229,4+7,850 %Possession & high press
    4Molde362111–3–744–3231,939,126,0+13,162 %Possession & high press
    5Rosenborg332110–3–839–3031,736,533,0+3,555 %Counter-attacks & crosses
    6Lillestrøm322110–2–928–2928,232,833,6−0,847 %Balanced & physical
    7Brann29219–2–1039–3226,138,433,8+4,665 %Possession & high press
    8Fredrikstad28218–4–925–3222,925,439,9−14,543 %Balanced & physical
    9Sarpsborg25216–7–824–2930,531,130,7+0,439 %Low block & direct
    10KFUM25217–4–1025–3525,023,337,4−14,140 %Balanced & physical
    11Sandefjord23216–5–1021–2725,727,138,0−10,942 %Possession control
    12Vålerenga23216–5–1034–4329,034,434,0+0,452 %Balanced & physical
    13Hamarkameratene23216–5–1029–4424,426,739,3−12,633 %Low block & direct
    14Aalesund21214–9–833–4626,730,943,9−13,042 %Low block & direct
    15Kristiansund19215–4–1221–4026,624,640,5−15,940 %Low block & direct
    16Start16214–4–1322–4426,029,640,9−11,331 %Low block & direct

    Latest articles

    All articles
    Krona's century: this week's triples (week 37)

    2026-09-11 · 3 min

    Krona's century: this week's triples (week 37)

    The columnist reports that the betting fund now stands at 1063 kronor after last week's "safe treble" gave a net profit of four kronor, which gives a total ROI of eight percent after eight tripples played. This week's new safe treble bets on home wins for Ajax against Willem II, Bodo/Glimt against Sandefjord and Hajduk Split against Slaven Belupo Koprivnica.

    Heidi, Adela and this week's surprises with value 5/9

    2026-09-05 · 4 min

    Heidi, Adela and this week's surprises with value 5/9

    The article highlights five Sunday matches where, according to the writer, the odds do not reflect the underlying xG figures and stylistic contrasts between the teams, including Juve Stabia–Pisa and Lusitania–Avs, where counter-attacking football and goal-heavy patterns suggest surprises. The review particularly points out home side Stabia's defensive strength and corner advantage, as well as the open goal pattern in Lusitania–Avs, as reasons to go against the market's odds.

    # Krona's Hundred: This Week's Triples (Week 36)

    2026-09-04 · 3 min

    # Krona's Hundred: This Week's Triples (Week 36)

    Last week's safe bet gave a modest profit of 101 kronor while the risk treble missed completely, which together gave a net result of one krona and a total kitty of 1059 kronor after six rounds (ten percent return).

    Played matches

    Prediction track record
    BrannBrann
    2–1
    Bodø/GlimtBodø/Glimt
    1 23%X 21%2 56%
    The model missed the outcome
    VålerengaVålerenga
    1–1
    FredrikstadFredrikstad
    1 48%X 26%2 25%
    The model missed the outcome
    TromsøTromsø
    3–2
    HamarkamerateneHamarkameratene
    1 55%X 24%2 20%
    The model called the outcome
    SandefjordSandefjord
    3–0
    StartStart
    1 45%X 25%2 30%
    The model called the outcome
    VikingViking
    3–0
    LillestrømLillestrøm
    1 61%X 20%2 18%
    The model called the outcome
    MoldeMolde
    1–2
    AalesundAalesund
    1 71%X 16%2 13%
    The model missed the outcome
    KristiansundKristiansund
    1–3
    RosenborgRosenborg
    1 28%X 24%2 48%
    The model called the outcome
    SarpsborgSarpsborg
    1–3
    KFUMKFUM
    1 50%X 27%2 23%
    The model missed the outcome
    Bodø/GlimtBodø/Glimt
    3–2
    SandefjordSandefjord
    1 82%X 11%2 7%
    The model called the outcome
    KFUMKFUM
    2–1
    AalesundAalesund
    1 44%X 26%2 30%
    The model called the outcome
    FredrikstadFredrikstad
    1–1
    SarpsborgSarpsborg
    1 37%X 27%2 36%
    The model missed the outcome
    HamarkamerateneHamarkameratene
    1–5
    MoldeMolde
    1 27%X 24%2 49%
    The model called the outcome

    How the predictions work

    Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.

    For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.

    Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.

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    Norwegian Eliteserien FAQ

    Where do I find Norwegian Eliteserien predictions?

    Right here: every match in the Norwegian Eliteserien has its own analysis with 1X2 probabilities, most likely scoreline, over/under and value against current odds. Pick a match from the upcoming list — predictions are refreshed before every round and graded openly afterwards.

    How are the Norwegian Eliteserien predictions made?

    Each match is replayed thousands of times in the model using hundreds of metrics per team — expected goals, pressing, expected threat, field tilt, form and squad. The output is a probability for every scoreline, which is then compared with bookmaker odds to find value.

    What is the xP table?

    xP means expected points: how many points each team should have taken given the quality of chances created and conceded. The gap between xP and the real table shows which the Norwegian Eliteserien teams are over- and underrated right now.

    Which teams play in Norwegian Eliteserien 2026?

    Norwegian Eliteserien 2026 has 16 teams: Viking, Bodø/Glimt, Tromsø, Molde, Rosenborg, Lillestrøm, Brann, Fredrikstad, Sarpsborg, KFUM, Sandefjord, Vålerenga, Hamarkameratene, Aalesund, Kristiansund, Start.

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