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    Ventforet KofuVentforet Kofu
    vs
    Tokushima VortisTokushima Vortis
    The model's lean: 1 · Ventforet Kofu (46%)

    Ventforet Kofu vs Tokushima Vortis · J2 League

    1 · Ventforet Kofu 46%X 31%24% Tokushima Vortis · 2

    Analysis: Ventforet KofuTokushima Vortis

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

    TEXT: Ventforet Kofu's pressing game has been a key feature in their recent performances, and with 46% probability of winning, the model leans towards them as they face Tokushima Vortis. The hosts are expected to control the pace with their attacking press, looking to exploit the flanks where Tokushima has shown vulnerabilities this season. Given the expected goals of 1.31 for Kofu, they are well-positioned to break down the visitors' defense, which has not been the sturdiest in the league.

    Tokushima Vortis, with a 24% chance of victory, will likely focus on a more conservative approach, aiming for quick counterattacks. Their expected goals sit at 0.94, indicating potential struggles in breaking through Kofu's organized setup. However, it's worth noting that Tokushima has had a small upper hand in the head-to-head record since 2023, winning three of the last six encounters, although this sample size is limited and less telling than the current season's form.

    The match could potentially be low-scoring, as indicated by the 39% chance for over 2.5 goals and the likely tight 1-0 or 1-1 scorelines. The weather forecast with 12.4 mm of rain might further suppress goal-scoring chances, though these elements are already factored into the model's numbers. Despite the historical high-scoring nature of this fixture, the current odds suggest a more restrained affair this time around.

    A draw at 31% probability seems equally plausible, with 1-1 as one of the most likely outcomes. However, the strategic discipline and home advantage could see Kofu edge it narrowly. The 1-0 scoreline, favored by 13%, aligns well with their tactical strengths and the expected competitive environment.

    For bettors, the sharpest angle lies with Kofu's win, given the model's preference and the tactical dynamics at play. This bet carries a calculated risk but aligns with the hosts' form and probability of edging out their visitors.

    Ventforet KofuVentforet Kofu
    Form LDLWW
    Key players
    • Kazushi FujiiFxG 0.34 · xT 0.04
    • Sho ArakiCMxG 0.03 · xT 0.09
    • Kojiro YasudaCMxG 0.03 · xT 0.06
    Tokushima VortisTokushima Vortis
    Form LDLWW
    Key players
    • Daiki WatariFxG 0.20 · xT 0.12
    • Naoki KanumaFxG 0.09 · xT -0.01
    • Ko YanagisawaRWxG 0.14 · xT 0.03

    Match prediction: Ventforet KofuTokushima Vortis

    Predicted score matrix

    Tokushima Vortis
    Ventforet Kofu
    0
    1
    2
    3
    4+
    0
    0–010.9%
    0–19.5%
    0–24.6%
    0–31.4%
    0–4+0.4%
    1
    1–013.5%
    1–113.4%
    1–26.1%
    1–31.9%
    1–4+0.5%
    2
    2–09.1%
    2–18.5%
    2–24.0%
    2–31.2%
    2–4+0.4%
    3
    3–04.0%
    3–13.7%
    3–21.7%
    3–30.5%
    3–4+0.2%
    4+
    4+–01.7%
    4+–11.6%
    4+–20.8%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-013%
    2. 2.1-113%
    3. 3.0-011%
    4. 4.0-110%
    5. 5.2-09%
    Expected goals
    1,310,94
    Both teams to score
    45%

    Over/under goals

    Expected goals: 2,2
    Under 2,561%
    Over 2,539%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Ventforet Kofu to win46%
    • Under 3.5 goals81%

    Combined probability

    35%

    Fair odds

    2.86

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

    02 · 3 legs

    Balanced

    • Ventforet Kofu to win46%
    • Under 2.5 goals61%
    • Yamato Naito to score20%

    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 score45%
    • Over 2.5 goals39%
    • Yamato Naito to score20%
    • Seigo Takei to be booked19%

    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

    Head-to-head

    6 matches
    Ventforet Kofu 2Draw 1Tokushima Vortis 3
    Goals: 1012 (⌀ 3,7)

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

    Key facts

    • A high-scoring fixture: 3.7 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Ventforet Kofu
    Tokushima Vortis
    When goals are scored and conceded 2026
    Ventforet Kofu (58)
    Tokushima Vortis (34)
    Pass networks

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

    Ventforet Kofu
    Kojiro Yasuda: 173 passningar, xT 0.22YasudaSho Araki: 171 passningar, xT 0.45ArakiYuta Koide: 158 passningar, xT 0.43KoideHikaru Endo: 155 passningar, xT 0.26EndoSeigo Takei: 132 passningar, xT 0.51TakeiYukito Murakami: 88 passningar, xT 0.42MurakamiShun Fukumoto: 76 passningar, xT 0.11FukumotoKazuhiro Sato: 66 passningar, xT 0.13SatoIwana Kobayashi: 64 passningar, xT 0.45KobayashiKazushi Fujii: 57 passningar, xT 0.01FujiiMiki Inoue: 45 passningar, xT 0.03Inoue
    Tokushima Vortis
    Nao Yamada: 199 passningar, xT 0.11YamadaHayato Tanaka: 197 passningar, xT 0.22TanakaMalcolm Tsuyoshi Moyo: 175 passningar, xT 0.27MoyoYuya Takagi: 150 passningar, xT 0.12TakagiNaoki Kanuma: 143 passningar, xT -0.04KanumaKai Chidi Kitamura: 132 passningar, xT 0.25KitamuraKen Iwao: 128 passningar, xT 0.25IwaoKo Yanagisawa: 106 passningar, xT 0.11YanagisawaTaro Sugimoto: 97 passningar, xT 0.03SugimotoShunto Kodama: 85 passningar, xT -0.05KodamaLucas Barcelos: 60 passningar, xT 0.44Barcelos
    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.

    Ventforet Kofu
    Kojiro Yasuda: 173 passningar, xT 0.22YasudaSho Araki: 171 passningar, xT 0.45ArakiYuta Koide: 158 passningar, xT 0.43KoideHikaru Endo: 155 passningar, xT 0.26EndoSeigo Takei: 132 passningar, xT 0.51TakeiYukito Murakami: 88 passningar, xT 0.42MurakamiShun Fukumoto: 76 passningar, xT 0.11FukumotoKazuhiro Sato: 66 passningar, xT 0.13SatoIwana Kobayashi: 64 passningar, xT 0.45KobayashiKazushi Fujii: 57 passningar, xT 0.01FujiiMiki Inoue: 45 passningar, xT 0.03Inoue
    Tokushima Vortis
    Nao Yamada: 199 passningar, xT 0.11YamadaHayato Tanaka: 197 passningar, xT 0.22TanakaMalcolm Tsuyoshi Moyo: 175 passningar, xT 0.27MoyoYuya Takagi: 150 passningar, xT 0.12TakagiNaoki Kanuma: 143 passningar, xT -0.04KanumaKai Chidi Kitamura: 132 passningar, xT 0.25KitamuraKen Iwao: 128 passningar, xT 0.25IwaoKo Yanagisawa: 106 passningar, xT 0.11YanagisawaTaro Sugimoto: 97 passningar, xT 0.03SugimotoShunto Kodama: 85 passningar, xT -0.05KodamaLucas Barcelos: 60 passningar, xT 0.44Barcelos
    The goalkeepersKodai Yamauchi (Ventforet Kofu)Kai Chidi Kitamura (Tokushima Vortis)
    Saves1020
    Save %63%83%
    xG prevented27%71%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Ventforet Kofu vs Tokushima Vortis according to our model?

    The model gives Ventforet Kofu a 46% win probability. Full 1X2 picture: Ventforet Kofu 46%, draw 31%, Tokushima Vortis 24%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 39% and under at 61%.

    Will both teams score?

    The probability of both teams scoring is 45% 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.