Swedish AllsvenskanStudenternas, Uppsala18°0,2 mm16 km/h

    Läs på svenska
    SiriusSiriusBalanced & physical
    vs
    Malmö FFMalmö FFPossession & high press
    The model's lean: 1 · Sirius (49%)Best value by the model: Under 2,5 @ 2.58 (+4 %)

    SiriusMalmö FF · Swedish Allsvenskan

    1 · Sirius 49%X 23%28% Malmö FF · 2

    Analysis: SiriusMalmö FF

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Sirius's midfield has been the heartbeat of their balanced and physical approach, as they consistently outmuscle opponents, translating into their superior xG of 1.9 per match. This edge not only reflects their attacking prowess but also their ability to control games, a trait that has helped them amass 42 points this season, significantly outpacing Malmö's 26. The expected goals model supports this, favoring the hosts with a 49% chance of victory compared to Malmö's 28%.

    Despite Malmö's inclination for possession and a high press, they've struggled to convert their style into tangible results this season. Their xG per game stands at a modest 1.4, further evidenced by their 23 xPoints, which underscores their lack of cutting edge in the final third. However, Malmö's tactical setup aims to disrupt and dominate the midfield, which could be crucial in a high-scoring fixture like this one, averaging 4.0 goals per meeting.

    The head-to-head record since 2023 sits evenly at 3 wins apiece with one draw across seven matches, a small sample that doesn't weigh heavily against Sirius's current form. Still, it signals that Malmö is capable of challenging the hosts under the right circumstances. The most likely scorelines—1-1 at 11% and 2-1 at 10%—suggest a closely contested match, with a slight tilt toward Sirius's favor.

    While the over 2.5 goals at 60% seems probable given the historical goal average, bettors might find value in backing Malmö, despite their underwhelming form. The away win at odds of 3.94 with Betsafe, Betsson, and Nordicbet presents a 10% edge according to the model. This EV+ opportunity suggests that taking a calculated risk on the visitors could be worthwhile, even if Sirius appears the stronger side on paper.

    SiriusSirius
    Form WWDLL
    League ranking xG #2xGA #2xT #5xP/match #1Points #1
    Key players
    • Isak BjerkeboLWxG 0.53 · xT 0.32
    • Robbie UreFxG 0.63 · xT 0.05
    • Oscar KrusnellLWxG 0.02 · xT 0.34
    Malmö FFMalmö FF
    Form LWLWL
    League ranking xG #7xGA #6xT #12xP/match #10Points #7
    Key players
    • Taha Abdi AliLWxG 0.10 · xT 0.23
    • Erik BotheimFxG 0.49 · xT -0.04
    • Malte Frejd PålssonCBxG 0.02 · xT 0.15

    Match prediction: SiriusMalmö FF

    Predicted score matrix

    Malmö FF
    Sirius
    0
    1
    2
    3
    4+
    0
    0–04.8%
    0–15.2%
    0–23.4%
    0–31.4%
    0–4+0.6%
    1
    1–08.1%
    1–110.7%
    1–26.4%
    1–32.6%
    1–4+1.0%
    2
    2–07.9%
    2–19.7%
    2–25.9%
    2–32.4%
    2–4+1.0%
    3
    3–04.9%
    3–16.0%
    3–23.7%
    3–31.5%
    3–4+0.6%
    4+
    4+–03.5%
    4+–14.3%
    4+–22.7%
    4+–31.1%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-08%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,871,23
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.58EV+4%
    Over 2,560%
    @1.49

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Sirius to win49%
    • Over 1.5 goals82%

    Combined probability

    44%

    Fair odds

    2.28

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

    02 · 3 legs

    Balanced

    • Sirius to win49%
    • Over 2.5 goals60%
    • Robbie Ure to score36%

    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 score60%
    • Over 2.5 goals60%
    • Robbie Ure to score36%
    • Otto Rosengren to be booked22%

    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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Under 2.540% probability@2.58BetsafeEV+4%reference odds
    • Under 2.540% probability@2.58BetssonEV+4%reference odds
    • Under 2.540% probability@2.58NordicbetEV+4%reference odds
    Bookmaker1 · SiriusX2 · Malmö FF
    Betsafe1.913.88
    EV+ 3%
    3.71
    Betsson1.913.88
    EV+ 3%
    3.71
    Nordicbet1.913.88
    EV+ 3%
    3.71
    Pinnacle1.924.223.43

    Odds updated 30 Aug, 20:30

    Odds movement

    1+7 %
    53 %48 %

    1.801.92

    X0 %
    25 %20 %

    4.224.22

    2-7 %
    29 %24 %

    3.703.43

    Pinnacle · 12 recorded price levels · 25/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    7 matches
    Sirius 3Draw 1Malmö FF 3
    Goals: 1414 (⌀ 4)

    Head-to-head based on Allsvenskan data since 2023.

    Key facts

    • A high-scoring fixture: 4.0 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Sirius
    Malmö FF
    When goals are scored and conceded 2026
    Sirius (4726)
    Malmö FF (3230)
    Pass networks

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

    Sirius
    Marcus Pheiffer Lindberg: 301 passningar, xT 1.48LindbergMohamed Soumah: 292 passningar, xT 0.19SoumahTobias Anker: 290 passningar, xT 0.2AnkerHenrik Rönnlöf Castegren: 270 passningar, xT 0.59CastegrenOscar Krusnell: 259 passningar, xT 1.67KrusnellMelker Heier: 186 passningar, xT 0.34HeierIsak Bjerkebo: 111 passningar, xT 1.19BjerkeboDavid Celic: 80 passningar, xT 0.12CelicCharlie Nildén: 70 passningar, xT 0.05NildénVictor Svensson: 60 passningar, xT 0.08SvenssonOdera Samuel Onuchukwu Adindu: 56 passningar, xT 0.66Adindu
    Malmö FF
    Andrej Đurić: 374 passningar, xT 0.28ĐurićMalte Frejd Pålsson: 273 passningar, xT 0.44PålssonSead Haksabanovic: 255 passningar, xT 1.46HaksabanovicOtto Rosengren: 253 passningar, xT 0.42RosengrenJens Stryger Larsen: 228 passningar, xT 1.36LarsenGabriel Dal Toe Busanello: 158 passningar, xT 0.5BusanelloKenan Busuladzic: 147 passningar, xT 0.75BusuladzicAdrian Skogmar: 146 passningar, xT 0.2SkogmarTheodor Lundbergh: 125 passningar, xT -0.1LundberghRobin Olsen: 106 passningar, xT 0.12OlsenNoah Åstrand John: 90 passningar, xT 0.32John
    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.

    Sirius
    Marcus Pheiffer Lindberg: 301 passningar, xT 1.48LindbergMohamed Soumah: 292 passningar, xT 0.19SoumahTobias Anker: 290 passningar, xT 0.2AnkerHenrik Rönnlöf Castegren: 270 passningar, xT 0.59CastegrenOscar Krusnell: 259 passningar, xT 1.67KrusnellMelker Heier: 186 passningar, xT 0.34HeierIsak Bjerkebo: 111 passningar, xT 1.19BjerkeboDavid Celic: 80 passningar, xT 0.12CelicCharlie Nildén: 70 passningar, xT 0.05NildénVictor Svensson: 60 passningar, xT 0.08SvenssonOdera Samuel Onuchukwu Adindu: 56 passningar, xT 0.66Adindu
    Malmö FF
    Andrej Đurić: 374 passningar, xT 0.28ĐurićMalte Frejd Pålsson: 273 passningar, xT 0.44PålssonSead Haksabanovic: 255 passningar, xT 1.46HaksabanovicOtto Rosengren: 253 passningar, xT 0.42RosengrenJens Stryger Larsen: 228 passningar, xT 1.36LarsenGabriel Dal Toe Busanello: 158 passningar, xT 0.5BusanelloKenan Busuladzic: 147 passningar, xT 0.75BusuladzicAdrian Skogmar: 146 passningar, xT 0.2SkogmarTheodor Lundbergh: 125 passningar, xT -0.1LundberghRobin Olsen: 106 passningar, xT 0.12OlsenNoah Åstrand John: 90 passningar, xT 0.32John

    The teams in numbers

    PerformanceSiriusMalmö FF
    Points4226
    xPoints34.123
    xG per match1.91.4
    xGA per match1.11.3
    xG within 8s of winning the ball0.440.21
    xGA within 8s of losing the ball0.140.3
    Playing styleSiriusMalmö FF
    Build-up efficiency0.350.35
    Field tilt0.460.58
    xT per match1.41.3
    xTA per match1.21.4
    Won balls, offensive half3127
    Pressing intensity0.510.49
    Pressing efficiency0.210.25
    Pressing efficiency, offensive half0.230.26
    Entries into the box per match1517
    Entries into the box against1415
    Pass completion %0.820.84
    Pass completion % under pressure0.770.8
    Passes per match391459
    Passes against per match426327
    Switches of play per match16.814.2
    Long balls per match3035
    Set piecesSiriusMalmö FF
    xG from free kicks0.130.25
    Corners per match5.74.5
    Corners against per match4.95.6
    xG per corner0.030.04
    xGA per corner against0.030.03
    First touch, offensive corners %0.380.57
    First touch, defensive corners %0.540.51
    OtherSiriusMalmö FF
    Throw-in control0.590.58
    The goalkeepersDavid Celic (Sirius)Robin Olsen (Malmö FF)
    Saves5535
    Save %68%75%
    xG prevented41%60%
    Claims94 (90%)46 (92%)

    Frequently asked questions

    Who wins Sirius vs Malmö FF according to our model?

    The model gives Sirius a 49% win probability. Full 1X2 picture: Sirius 49%, draw 23%, Malmö FF 28%.

    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 60% according to the model.

    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.