Champions League16°14,2 mm23 km/h

    Läs på svenska
    InterInterPossession & high press
    1–0
    Shakhtar DonetskShakhtar DonetskPossession control
    The model's lean: 1 · Inter (77%)Best value by the model: 2 · Shakhtar Donetsk @ 12.26 (+20 %)

    Inter vs Shakhtar Donetsk · Champions League

    1 · Inter 77%X 14%10% Shakhtar Donetsk · 2

    Prediction summary

    Final score 1–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Inter vs Shakhtar Donetsk (Champions League, Wednesday, 21 October 2026): Inter win 77%, draw 14%, Shakhtar Donetsk win 10%. Expected goals (xG): Inter 2.66, Shakhtar Donetsk 1.10. Most likely score: 2-1 (9%). Over 2.5 goals 72%, both teams to score 62%. Double chance: Inter or draw 90%, Shakhtar Donetsk or draw 23%. Prediction updated Tuesday, 13 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: Inter – Shakhtar Donetsk

    Sofia Andersson · · The model's read on the match · How the predictions work

    Inter enters the clash on the back of an unusual four-game losing streak, a worrying sign that contrasts sharply with their underlying numbers. This tension is magnified by their expected goals of 2.66 per match, hinting at a more potent side than recent results suggest. Shakhtar Donetsk, meanwhile, enjoys a better points tally but lower underlying attacking metrics, with only 0.91 xG per match. Despite the visitors' points advantage, the model leans heavily towards the hosts, giving Inter a 77% chance to win.

    The most likely scorelines — with 2-1 at 9% and 2-0 and 3-1 both at 8% — back the notion of Inter as favorites, but they also suggest that Shakhtar might find a breakthrough. The expected goals for both teams bolster the case for an over 2.5 goals outcome, sitting at 72%, and support the 62% probability that both teams will find the net.

    Yet, the looming rain, forecasted at 17.6 mm, could dull the goal-scoring edge. Rain often hampers fluid attacking play, which might temper goal expectations slightly, though the model already accounts for weather. An interesting dynamic will be how Inter's high-press strategy interacts with Shakhtar's possession-based approach, especially under wet conditions.

    Despite the apparent edge for Inter, the betting value lies elsewhere. The odds of 14.5 for a Shakhtar win on Betsafe and Nordicbet present a 42% edge according to the model. Even the draw, at odds of 7.9 with Betsafe, offers an 8% edge. These are worth considering for those searching for high-risk, high-reward opportunities.

    If you're looking for value, Shakhtar at 14.5 odds presents an intriguing proposition, leaning into the unpredictable nature of football where form can flip. However, numbers point to an Inter win, likely edging a 2-1 scoreline.

    InterInter
    Form WLLLL
    League ranking xG #6xGA #55xT #8xP/match #47Points #49
    Key players
    • Lautaro MartinezFxG 1.36 · xT 0.04
    • Andy DioufRWBxG 0.11 · xT 0.33
    • Alessandro BastoniCBxG 0.13 · xT 0.12
    Shakhtar DonetskShakhtar Donetsk
    Form LWLDW
    League ranking xG #45xGA #9xT #55xP/match #28Points #19
    Key players
    • Valerii BondarCBxG 0.11 · xT 0.11
    • Pedro Henrique Azevedo PereiraLBxG 0.06 · xT 0.10
    • Alaa GhramCBxG 0.01 · xT 0.11
    • Numbers from UEFA Conference League 2025
    Final score
    1 – 0
    The model called the outcome
    Predicted probabilities: Inter 77% · Draw 14% · Shakhtar Donetsk 10%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Shakhtar DonetskBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 32,50fair 20,37+60 %
    Miss
    Matchresultat - InterBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,13fair 3,31-5 %
    Miss

    Match prediction: Inter – Shakhtar Donetsk

    Predicted score matrix

    Shakhtar Donetsk →
    Inter →
    0
    1
    2
    3
    4+
    0
    0–02.5%
    0–12.4%
    0–21.4%
    0–30.5%
    0–4+0.2%
    1
    1–06.0%
    1–17.0%
    1–23.8%
    1–31.4%
    1–4+0.5%
    2
    2–08.2%
    2–19.1%
    2–25.0%
    2–31.8%
    2–4+0.6%
    3
    3–07.3%
    3–18.0%
    3–24.4%
    3–31.6%
    3–4+0.6%
    4+
    4+–09.2%
    4+–110.1%
    4+–25.6%
    4+–32.1%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-19%
    2. 2.2-08%
    3. 3.3-18%
    4. 4.3-07%
    5. 5.1-17%
    Expected goals
    2,66–1,10
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,8
    Under 2,528%
    @3.21
    Over 2,572%
    @1.36

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Inter to win77%
    • Over 1.5 goals89%

    Combined probability

    64%

    Fair odds

    1.56

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

    02 · 3 legs

    Balanced

    • Inter to win77%
    • Over 2.5 goals72%
    • Marcus Lilian Thuram-Ulien to score30%

    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 goals72%
    • Marcus Lilian Thuram-Ulien to score30%
    • Piotr Sebastian Zieliński 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+).

    • 2 · Shakhtar Donetsk10% probability@12.26PinnacleEV+20%reference odds
    • 2 · Shakhtar Donetsk10% probability@11.50BetsafeEV+12%reference odds
    • 2 · Shakhtar Donetsk10% probability@11.50NordicbetEV+12%reference odds
    Bookmaker1 · InterX2 · Shakhtar Donetsk
    Betsafe1.227.00
    EV+ 12%
    11.50
    Nordicbet1.227.00
    EV+ 12%
    11.50
    Pinnacle1.20
    EV+ 4%
    7.63
    EV+ 20%
    12.26

    Odds updated 21 Oct, 13:36

    Odds movement

    1+1 %
    82 %77 %

    1.19 → 1.20

    X+6 %
    15 %10 %

    7.19 → 7.63

    2+7 %
    10 %5 %

    11.44 → 12.26

    Pinnacle · 25 recorded price levels · 15/10/2026 → 21/10/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Inter Milan have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Inter
    Shakhtar Donetsk
    When goals are scored and conceded — 2026
    Inter (4–6)
    Shakhtar Donetsk (4–2)
    Pass networks

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

    Inter
    Alessandro Bastoni: 152 passningar, xT 0.19BastoniHakan Calhanoglu: 98 passningar, xT 0.32CalhanogluYann Bisseck: 97 passningar, xT 0.08BisseckNicolò Barella: 82 passningar, xT 0.33BarellaManuel Akanji: 76 passningar, xT 0.15AkanjiAndy Diouf: 74 passningar, xT 0.57DioufJosep Martinez: 69 passningar, xT 0.02MartinezCurtis Julian Jones: 68 passningar, xT 0.05JonesPiotr Zielinski: 64 passningar, xT 0.13ZielinskiLautaro Martinez: 58 passningar, xT 0.07MartinezFederico Dimarco: 46 passningar, xT 0.48Dimarco
    Shakhtar Donetsk
    Mykola Matviienko: 124 passningar, xT 0.12MatviienkoValerii Bondar: 106 passningar, xT 0.11BondarPedro Henrique Azevedo Pereira: 94 passningar, xT 0.12PereiraVinícius Augusto Tobias da Silva: 83 passningar, xT 0.01SilvaOleh Ocheretko: 65 passningar, xT 0.01OcheretkoDmytro Riznyk: 61 passningar, xT 0.06RiznykMarlon Gomes Claudino: 40 passningar, xT 0.01ClaudinoIsaque Severino Silva: 28 passningar, xT 0.02SilvaAlisson Santana Lopes da Fonseca: 25 passningar, xT -0.02FonsecaPedro Victor Delmino da Silva: 20 passningar, xT 0.06SilvaKauã Elias Nogueira: 18 passningar, xT 0.01Nogueira
    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.

    Inter
    Alessandro Bastoni: 152 passningar, xT 0.19BastoniHakan Calhanoglu: 98 passningar, xT 0.32CalhanogluYann Bisseck: 97 passningar, xT 0.08BisseckNicolò Barella: 82 passningar, xT 0.33BarellaManuel Akanji: 76 passningar, xT 0.15AkanjiAndy Diouf: 74 passningar, xT 0.57DioufJosep Martinez: 69 passningar, xT 0.02MartinezCurtis Julian Jones: 68 passningar, xT 0.05JonesPiotr Zielinski: 64 passningar, xT 0.13ZielinskiLautaro Martinez: 58 passningar, xT 0.07MartinezFederico Dimarco: 46 passningar, xT 0.48Dimarco
    Shakhtar Donetsk
    Mykola Matviienko: 124 passningar, xT 0.12MatviienkoValerii Bondar: 106 passningar, xT 0.11BondarPedro Henrique Azevedo Pereira: 94 passningar, xT 0.12PereiraVinícius Augusto Tobias da Silva: 83 passningar, xT 0.01SilvaOleh Ocheretko: 65 passningar, xT 0.01OcheretkoDmytro Riznyk: 61 passningar, xT 0.06RiznykMarlon Gomes Claudino: 40 passningar, xT 0.01ClaudinoIsaque Severino Silva: 28 passningar, xT 0.02SilvaAlisson Santana Lopes da Fonseca: 25 passningar, xT -0.02FonsecaPedro Victor Delmino da Silva: 20 passningar, xT 0.06SilvaKauã Elias Nogueira: 18 passningar, xT 0.01Nogueira

    The teams in numbers

    PerformanceInterShakhtar Donetsk
    Points04
    xPoints1.62.8
    xG per match2.70.91
    xGA per match3.30.89
    xG within 8s of winning the ball0.260.28
    xGA within 8s of losing the ball1.20.18
    Playing styleInterShakhtar Donetsk
    Build-up efficiency0.310.31
    Field tilt0.70.47
    xT per match1.70.3
    xTA per match1.20.51
    Won balls, offensive half2228
    Pressing intensity0.260.23
    Pressing efficiency0.210.24
    Pressing efficiency, offensive half0.130.22
    Entries into the box per match235
    Entries into the box against1610
    Pass completion %0.860.8
    Pass completion % under pressure0.810.79
    Passes per match548367
    Passes against per match368364
    Switches of play per match31.830.7
    Long balls per match3534
    Set piecesInterShakhtar Donetsk
    xG from free kicks00
    Corners per match7.74.2
    Corners against per match4.12.6
    xG per corner0.030.02
    xGA per corner against0.020.03
    First touch, offensive corners %0.470.38
    First touch, defensive corners %0.620.6
    OtherInterShakhtar Donetsk
    Throw-in control0.890.83
    The goalkeepersJosep Martinez (Inter)Dmytro Riznyk (Shakhtar Donetsk)
    Saves103
    Save %63%60%
    xG prevented55%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Inter spelschemaShakhtar Donetsk spelschema

    Frequently asked questions

    Who wins Inter vs Shakhtar Donetsk according to our model?

    The model gives Inter a 77% win probability. Full 1X2 picture: Inter 77%, draw 14%, Shakhtar Donetsk 10%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 72% and under at 28%.

    Will both teams score?

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

    How many goals are expected in Inter vs Shakhtar Donetsk?

    The model expects 2.66 goals (xG) for Inter and 1.10 for Shakhtar Donetsk, 3.76 in total.

    What does the model say about double chance?

    Inter or draw (1X) 90%, Shakhtar Donetsk or draw (X2) 23% and no draw (12) 86%.

    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.