J2 League20°44,9 mm12 km/h

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    Kataller ToyamaKataller ToyamaBalanced & physical
    0–1
    Hokkaido Consadole SapporoHokkaido Consadole SapporoPossession control
    The model's lean: 1 · Kataller Toyama (56%)Best value by the model: Under 3,5 @ 1.55 (+1 %)

    Kataller Toyama vs Hokkaido Consadole Sapporo · J2 League

    1 · Kataller Toyama 56%X 24%20% Hokkaido Consadole Sapporo · 2

    Prediction summary

    Final score 0–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Kataller Toyama vs Hokkaido Consadole Sapporo (J2 League, Sunday, 25 October 2026): Kataller Toyama win 56%, draw 24%, Hokkaido Consadole Sapporo win 20%. Expected goals (xG): Kataller Toyama 1.92, Hokkaido Consadole Sapporo 1.05. Most likely score: 1-1 (11%). Over 2.5 goals 57%, both teams to score 56%. Double chance: Kataller Toyama or draw 80%, Hokkaido Consadole Sapporo or draw 44%. Prediction updated Saturday, 17 October 2026.

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    Analysis: Kataller Toyama – Hokkaido Consadole Sapporo

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

    Kataller Toyama come into this matchup with a clear statistical advantage. The model gives them a strong 56% chance of victory, underpinned by their unbeaten streak in the last seven league games. Their expected goals (xG) of 1.92 suggests they have the attacking prowess to trouble Hokkaido Consadole Sapporo, whose xG of just 1.05 paints a picture of a side struggling to create clear-cut chances.

    Despite Toyama's dominance on paper, their recent head-to-head record against the visitors is less promising, having lost both meetings since 2023. However, with only two matches in this sample, it's a less reliable indicator compared to the consistent form they've shown this season. Toyama's xPoints of 16.8 also surpass Sapporo's 11.0, indicating they have been the stronger side overall.

    The anticipated rain is likely to add an extra layer of complexity, potentially dampening the scoring opportunities for both teams. This is reflected in the most likely scoreline predictions, with a 1-1 draw and narrow wins for the hosts at 2-1 and 1-0 all within the realm of possibility. The over 2.5 goals probability sits at 57%, but the weather conditions might suppress this.

    For bettors, under 3.5 goals appears to carry some value. Both Betsafe and Nordicbet offer odds of 1.55 on this outcome, with the model suggesting a 65% probability, providing a slight 1% edge. The model's trust in Kataller Toyama is compelling, yet the cautious play on the under seems prudent given the potential for rain to influence proceedings.

    In essence, while Kataller Toyama are favored to continue their unbeaten run, the weather and Sapporo's possession style could keep the scores modest. The sharpest angle here is likely the under 3.5 goals at attractive odds, blending statistical support with practical match conditions.

    Kataller ToyamaKataller Toyama
    Form WDWDD
    League ranking xG #1xGA #4xT #1xP/match #4Points #5
    Key players
    • Tsubasa YoshihiraFxG 0.30 · xT 0.17
    • Yoshiki TakahashiRWBxG 0.09 · xT 0.24
    • Manato FurukawaFxG 0.32 · xT 0.06
    Hokkaido Consadole SapporoHokkaido Consadole Sapporo
    Form DLWLW
    League ranking xG #15xGA #11xT #11xP/match #19Points #18
    Key players
    • Ryunosuke UmetsuCBxG 0.05 · xT 0.13
    • Shota NishinoCBxG 0.03 · xT 0.12
    • Ryu TakaoRWBxG 0.02 · xT 0.11
    Final score
    0 – 1
    The model missed the outcome
    Predicted probabilities: Kataller Toyama 56% · Draw 24% · Hokkaido Consadole Sapporo 20%

    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 - Kataller ToyamaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,41fair 5,62-22 %
    Miss
    Matchresultat - Hokkaido Consadole SapporoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,60fair 18,90-44 %
    Miss

    Match prediction: Kataller Toyama – Hokkaido Consadole Sapporo

    Predicted score matrix

    Hokkaido Consadole Sapporo →
    Kataller Toyama →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–15.1%
    0–22.8%
    0–31.0%
    0–4+0.3%
    1
    1–09.6%
    1–110.6%
    1–25.4%
    1–31.9%
    1–4+0.6%
    2
    2–09.5%
    2–19.9%
    2–25.2%
    2–31.8%
    2–4+0.6%
    3
    3–06.1%
    3–16.4%
    3–23.3%
    3–31.2%
    3–4+0.4%
    4+
    4+–04.5%
    4+–14.7%
    4+–22.5%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-010%
    4. 4.2-09%
    5. 5.3-16%
    Expected goals
    1,92–1,05
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.32
    Over 2,557%
    @1.52

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Kataller Toyama to win56%
    • Over 1.5 goals80%

    Combined probability

    48%

    Fair odds

    2.09

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

    02 · 3 legs

    Balanced

    • Kataller Toyama to win56%
    • Over 2.5 goals57%
    • Manato Furukawa to score41%

    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 score56%
    • Over 2.5 goals57%
    • Manato Furukawa to score41%
    • Niki Urakami to be booked23%

    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 3.565% probability@1.55BetsafeEV+1%reference odds
    • Under 3.565% probability@1.55LeoVegasEV+1%reference odds
    • Under 3.565% probability@1.55NordicbetEV+1%reference odds
    Bookmaker1 · Kataller ToyamaX2 · Hokkaido Consadole Sapporo
    Betsafe1.683.804.10
    LeoVegas1.703.753.95
    Nordicbet1.683.804.10
    Pinnacle1.714.124.33

    Odds updated 25 Oct, 07:17

    Odds movement

    1+3 %
    58 %53 %

    1.66 → 1.71

    X0 %
    25 %20 %

    4.11 → 4.12

    20 %
    24 %19 %

    4.32 → 4.33

    Pinnacle · 7 recorded price levels · 21/10/2026 → 25/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Kataller Toyama 0Draw 0Hokkaido Consadole Sapporo 2
    Goals: 1–4 (⌀ 2,5)

    Head-to-head based on J2 League data since 2023.

    Key facts

    • Kataller Toyama are unbeaten in their last 7 league matches.
    xG & xGA per match — 3-game rolling average

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

    Kataller Toyama
    Hokkaido Consadole Sapporo
    When goals are scored and conceded — 2026
    Kataller Toyama (20–11)
    Hokkaido Consadole Sapporo (13–19)
    Pass networks

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

    Kataller Toyama
    Shunsuke Tanimoto: 352 passningar, xT 0.58TanimotoSota Fukazawa: 290 passningar, xT 0.91FukazawaYoshiki Takahashi: 242 passningar, xT 1.18TakahashiSho Fuseya: 242 passningar, xT 0.84FuseyaGenta Takenaka: 214 passningar, xT 0.26TakenakaShosei Okamoto: 210 passningar, xT 0.11OkamotoMin-Woo Kang: 162 passningar, xT 0.54KangToshiki Hirao: 112 passningar, xT 0.14HiraoTsubasa Yoshihira: 111 passningar, xT 0.74YoshihiraYuto Kunitake: 70 passningar, xT 0.28KunitakeShimpei Nishiya: 68 passningar, xT 0.14Nishiya
    Hokkaido Consadole Sapporo
    Shota Nishino: 344 passningar, xT 0.64NishinoRyunosuke Umetsu: 299 passningar, xT 0.6UmetsuMizuki Uchida: 183 passningar, xT 0.23UchidaTomoki Tagawa: 138 passningar, xT 0.27TagawaRyota Aoki: 117 passningar, xT -0.01AokiNiki Urakami: 116 passningar, xT -0.1UrakamiRyu Takao: 116 passningar, xT 0.4TakaoHayato Kawahara: 109 passningar, xT 0.24KawaharaYuto Horigome: 108 passningar, xT 0.08HorigomeShuma Kido: 107 passningar, xT 0.04KidoHiroki Miyazawa: 80 passningar, xT 0.15Miyazawa
    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.

    Kataller Toyama
    Shunsuke Tanimoto: 352 passningar, xT 0.58TanimotoSota Fukazawa: 290 passningar, xT 0.91FukazawaYoshiki Takahashi: 242 passningar, xT 1.18TakahashiSho Fuseya: 242 passningar, xT 0.84FuseyaGenta Takenaka: 214 passningar, xT 0.26TakenakaShosei Okamoto: 210 passningar, xT 0.11OkamotoMin-Woo Kang: 162 passningar, xT 0.54KangToshiki Hirao: 112 passningar, xT 0.14HiraoTsubasa Yoshihira: 111 passningar, xT 0.74YoshihiraYuto Kunitake: 70 passningar, xT 0.28KunitakeShimpei Nishiya: 68 passningar, xT 0.14Nishiya
    Hokkaido Consadole Sapporo
    Shota Nishino: 344 passningar, xT 0.64NishinoRyunosuke Umetsu: 299 passningar, xT 0.6UmetsuMizuki Uchida: 183 passningar, xT 0.23UchidaTomoki Tagawa: 138 passningar, xT 0.27TagawaRyota Aoki: 117 passningar, xT -0.01AokiNiki Urakami: 116 passningar, xT -0.1UrakamiRyu Takao: 116 passningar, xT 0.4TakaoHayato Kawahara: 109 passningar, xT 0.24KawaharaYuto Horigome: 108 passningar, xT 0.08HorigomeShuma Kido: 107 passningar, xT 0.04KidoHiroki Miyazawa: 80 passningar, xT 0.15Miyazawa

    The teams in numbers

    PerformanceKataller ToyamaHokkaido Consadole Sapporo
    Points1911
    xPoints16.811
    xG per match1.60.98
    xGA per match0.961.2
    xG within 8s of winning the ball0.370.18
    xGA within 8s of losing the ball0.20.22
    Playing styleKataller ToyamaHokkaido Consadole Sapporo
    Build-up efficiency0.330.31
    Field tilt0.690.61
    xT per match1.50.94
    xTA per match0.690.84
    Won balls, offensive half2021
    Pressing intensity0.210.22
    Pressing efficiency0.30.36
    Pressing efficiency, offensive half0.290.32
    Entries into the box per match2212
    Entries into the box against1010
    Pass completion %0.80.76
    Pass completion % under pressure0.770.71
    Passes per match468423
    Passes against per match315261
    Switches of play per match33.132.5
    Long balls per match4440
    Set piecesKataller ToyamaHokkaido Consadole Sapporo
    xG from free kicks0.040.04
    Corners per match6.76
    Corners against per match3.94.6
    xG per corner0.010.02
    xGA per corner against0.030.04
    First touch, offensive corners %0.510.45
    First touch, defensive corners %0.710.58
    OtherKataller ToyamaHokkaido Consadole Sapporo
    Throw-in control0.720.76
    The goalkeepersToshiki Hirao (Kataller Toyama)Tomoki Tagawa (Hokkaido Consadole Sapporo)
    Saves2226
    Save %67%58%
    xG prevented67%33%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Kataller Toyama vs Hokkaido Consadole Sapporo according to our model?

    The model gives Kataller Toyama a 56% win probability. Full 1X2 picture: Kataller Toyama 56%, draw 24%, Hokkaido Consadole Sapporo 20%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 56% according to the model.

    How many goals are expected in Kataller Toyama vs Hokkaido Consadole Sapporo?

    The model expects 1.92 goals (xG) for Kataller Toyama and 1.05 for Hokkaido Consadole Sapporo, 2.97 in total.

    What does the model say about double chance?

    Kataller Toyama or draw (1X) 80%, Hokkaido Consadole Sapporo or draw (X2) 44% and no draw (12) 76%.

    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.