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    KuPSKuPSCounter-attacks & crosses
    vs
    Shamrock RoversShamrock RoversLow block & direct
    The model's lean: 1 · KuPS (49%)

    KuPSShamrock Rovers · Conference League

    1 · KuPS 49%X 26%25% Shamrock Rovers · 2

    Analysis: KuPSShamrock Rovers

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

    With KuPS holding a 49% probability of winning according to the model, the home advantage seems to tip the scales in their favor against Shamrock Rovers. The expected goals (xG) statistics, however, suggest a twist: the visitors generate more chances per game with an xG of 1.4 compared to KuPS's 0.77. This hints at a potential for Shamrock Rovers to disrupt the hosts’ rhythm, especially if they can exploit KuPS's occasional defensive lapses.

    KuPS's strategy revolves around counter-attacks and crosses, a style that could be effective against the Irish side's low defensive block and direct play. Yet, the Finnish outfit also concedes on average 1.8 expected goals against (xGA) per match. This vulnerability could be pivotal, particularly against a Shamrock Rovers side that might capitalize on set pieces or quick transitions given their higher xG metric.

    The model gives a 55% chance for both teams to score and for the match to see over 2.5 goals. Given KuPS's tendency to invite pressure and look for counters, while the visitors might park the bus initially, the game could open up as it progresses. A 1-1 draw is the most likely scoreline at 11%, but a 2-1 home victory is equally plausible at 10%, aligning with the goal-scoring probabilities.

    The small head-to-head sample between these teams since 2023 weighs less than current form and expected goals, but the xPoints suggest Shamrock Rovers have been slightly unfortunate in their campaign, with an edge of 7.0 to KuPS's 6.6. This nuance could see them pose a significant threat.

    For bettors, the over 2.5 goals at 55% presents an intriguing angle, as does the lean towards KuPS at 49%. However, given the complexities, an alternative value might lie in both teams finding the net, supported by a 55% model likelihood. Odds for this market with Bet365 are likely competitive, making it a compelling consideration.

    KuPSKuPS
    Form LDDLL
    League ranking xG #66xGA #58xT #53xP/match #70Points #28
    Key players
    • Clinton AntwiLWBxG 0.06 · xT 0.19
    • Doni ArifiCDMxG 0.02 · xT 0.09
    • Ibrahim CisséCBxG 0.02 · xT 0.09
    Shamrock RoversShamrock Rovers
    Form LDLLW
    League ranking xG #34xGA #66xT #44xP/match #49Points #40
    Key players
    • Matthew HealyCDMxG 0.02 · xT 0.08
    • Rory GaffneyFxG 0.35 · xT 0.10
    • Roberto Carlos LopesCBxG 0.07 · xT 0.03

    Match prediction: KuPSShamrock Rovers

    Predicted score matrix

    Shamrock Rovers
    KuPS
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–15.8%
    0–23.3%
    0–31.2%
    0–4+0.4%
    1
    1–09.9%
    1–111.3%
    1–25.9%
    1–32.1%
    1–4+0.7%
    2
    2–09.2%
    2–19.8%
    2–25.3%
    2–31.9%
    2–4+0.6%
    3
    3–05.5%
    3–15.9%
    3–23.1%
    3–31.1%
    3–4+0.4%
    4+
    4+–03.7%
    4+–14.0%
    4+–22.1%
    4+–30.8%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-06%
    Expected goals
    1,791,07
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    Over 2,555%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • KuPS to win49%
    • Over 1.5 goals78%

    Combined probability

    44%

    Fair odds

    2.27

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

    02 · 3 legs

    Balanced

    • KuPS to win49%
    • Over 2.5 goals55%
    • Joslyn Luyeye-Lutumba to score32%

    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 score55%
    • Over 2.5 goals55%
    • Joslyn Luyeye-Lutumba to score32%
    • Lee Grace to be booked20%

    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

    xG & xGA per match — 3-game rolling average

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

    KuPS
    Shamrock Rovers
    When goals are scored and conceded 2025
    KuPS (68)
    Shamrock Rovers (713)
    Pass networks

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

    KuPS
    Johannes Kreidl: 222 passningar, xT 0.3KreidlTaneli Hamalainen: 156 passningar, xT 0.35HamalainenDoni Arifi: 149 passningar, xT 0.09ArifiSamuli Miettinen: 146 passningar, xT 0.18MiettinenOtto Ruoppi: 142 passningar, xT 0.37RuoppiClinton Antwi: 142 passningar, xT 0.45AntwiJaakko Oksanen: 134 passningar, xT -0.06OksanenPetteri Pennanen: 133 passningar, xT 0.09PennanenIbrahim Cissé: 115 passningar, xT 0.08CisséNiilo Kujasalo: 82 passningar, xT 0.09KujasaloBob Nii Armah: 82 passningar, xT 0.18Armah
    Shamrock Rovers
    Matthew Healy: 246 passningar, xT 0.41HealyRoberto Carlos Lopes: 157 passningar, xT 0.19LopesDylan Billy Watts: 149 passningar, xT 1.07WattsCory O'Sullivan: 149 passningar, xT 0.37O'SullivanGraham Dylan Burke: 123 passningar, xT 0.57BurkeDaniel Cleary: 113 passningar, xT 0.19ClearyLee Grace: 83 passningar, xT 0.15GraceDaniel Grant: 77 passningar, xT 0.16GrantEdward McGinty: 74 passningar, xT 0.17McGintyAdam James Matthews: 71 passningar, xT 0.56MatthewsRory Gaffney: 46 passningar, xT 0.29Gaffney
    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.

    KuPS
    Johannes Kreidl: 222 passningar, xT 0.3KreidlTaneli Hamalainen: 156 passningar, xT 0.35HamalainenDoni Arifi: 149 passningar, xT 0.09ArifiSamuli Miettinen: 146 passningar, xT 0.18MiettinenOtto Ruoppi: 142 passningar, xT 0.37RuoppiClinton Antwi: 142 passningar, xT 0.45AntwiJaakko Oksanen: 134 passningar, xT -0.06OksanenPetteri Pennanen: 133 passningar, xT 0.09PennanenIbrahim Cissé: 115 passningar, xT 0.08CisséNiilo Kujasalo: 82 passningar, xT 0.09KujasaloBob Nii Armah: 82 passningar, xT 0.18Armah
    Shamrock Rovers
    Matthew Healy: 246 passningar, xT 0.41HealyRoberto Carlos Lopes: 157 passningar, xT 0.19LopesDylan Billy Watts: 149 passningar, xT 1.07WattsCory O'Sullivan: 149 passningar, xT 0.37O'SullivanGraham Dylan Burke: 123 passningar, xT 0.57BurkeDaniel Cleary: 113 passningar, xT 0.19ClearyLee Grace: 83 passningar, xT 0.15GraceDaniel Grant: 77 passningar, xT 0.16GrantEdward McGinty: 74 passningar, xT 0.17McGintyAdam James Matthews: 71 passningar, xT 0.56MatthewsRory Gaffney: 46 passningar, xT 0.29Gaffney

    The teams in numbers

    PerformanceKuPSShamrock Rovers
    Points74
    xPoints6.67
    xG per match0.771.4
    xGA per match1.82.1
    xG within 8s of winning the ball0.130.29
    xGA within 8s of losing the ball0.240.32
    Playing styleKuPSShamrock Rovers
    Build-up efficiency0.360.32
    Field tilt0.420.36
    xT per match0.740.82
    xTA per match1.61.3
    Won balls, offensive half2317
    Pressing intensity0.260.24
    Pressing efficiency0.270.26
    Pressing efficiency, offensive half0.290.27
    Entries into the box per match1111
    Entries into the box against2018
    Pass completion %0.810.74
    Pass completion % under pressure0.740.69
    Passes per match457278
    Passes against per match418453
    Switches of play per match30.215.7
    Long balls per match3826
    Set piecesKuPSShamrock Rovers
    xG from free kicks0.030
    Corners per match3.23.7
    Corners against per match6.16.2
    xG per corner0.020.07
    xGA per corner against0.040.08
    First touch, offensive corners %0.440.36
    First touch, defensive corners %0.70.38
    OtherKuPSShamrock Rovers
    Throw-in control0.750.67
    The goalkeepersJohannes Kreidl (KuPS)Edward McGinty (Shamrock Rovers)
    Saves3520
    Save %81%61%
    xG prevented69%32%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins KuPS vs Shamrock Rovers according to our model?

    The model gives KuPS a 49% win probability. Full 1X2 picture: KuPS 49%, draw 26%, Shamrock Rovers 25%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.

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