J1 LeaguePeace Stadium, Nagasaki26°1,6 mm6 km/h

    Läs på svenska
    V-Varen NagasakiV-Varen NagasakiCounter-attacks & crosses
    vs
    Nagoya GrampusNagoya GrampusPossession control
    The model's lean: 2 · Nagoya Grampus (40%)Best value by the model: Under 2,5 @ 2.24 (+13 %)

    V-Varen NagasakiNagoya Grampus · J1 League

    1 · V-Varen Nagasaki 33%X 28%40% Nagoya Grampus · 2

    Analysis: V-Varen NagasakiNagoya Grampus

    Anna Karlsson · · A data-driven preview · How the predictions work

    TEXT: Nagoya Grampus enters this clash with a slight edge, but the numbers tell a story of balance, hinting at a closely contested encounter. The visitors have a slight advantage in points, boasting six compared to the hosts' four. However, when diving deeper, xPoints show a surprising twist: Nagasaki edges its rival with 5.8 against 5.7. This suggests Nagasaki might have been a bit unlucky or inefficient so far.

    The tactical styles of these teams also paint an intriguing picture. Nagasaki leans into counter-attacking play and crosses, which could disrupt Nagoya's possession-oriented game. This clash of styles might lead to a match where possession isn't as indicative of dominance or success. Expected goals are nearly identical—1.32 for Nagasaki and 1.33 for Nagoya—further cementing the notion of a tight contest. The most likely scorelines underline this too, with 1-1 topping the list at 13%, while 0-1 and 1-0 follow, each at 9%.

    Despite Nagoya's offensive edge with a higher xG per match (1.2 vs. 0.86), their defense, allowing 1.6 xGA per match, lags slightly behind Nagasaki's 1.5. This defensive frailty could provide the hosts with opportunities to exploit counter-attacks and crosses, especially if Nagoya overextends while pursuing possession.

    The sharpest angle here leans toward the under 2.5 goals, valued at odds 2.15 by bookmakers Betsafe, Betsson, and Nordicbet. The model sees this market as having an 8% edge, making it an enticing option for those looking to capitalize on the cautious nature often seen when contrasting styles collide. While Nagoya might enter as favorites, the game is poised to be a tactical chess match, where scoring could come at a premium.

    V-Varen NagasakiV-Varen Nagasaki
    Form LLLDL
    League ranking xG #19xGA #11xT #16xP/match #17Points #18
    Key players
    • Thiago Santos SantanaFxG 0.47 · xT 0.07
    • Hijiri OnagaLWxG 0.00 · xT 0.12
    • Motoki HasegawaCAMxG 0.06 · xT 0.08
    Nagoya GrampusNagoya Grampus
    Form LWWLL
    League ranking xG #12xGA #15xT #8xP/match #18Points #14
    Key players
    • Katsuhiro NakayamaLWxG 0.10 · xT 0.10
    • Tomoki TakamineCMxG 0.02 · xT 0.19
    • Haruya FujiiCBxG 0.05 · xT 0.12

    Match prediction: V-Varen NagasakiNagoya Grampus

    Predicted score matrix

    Nagoya Grampus
    V-Varen Nagasaki
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–19.0%
    0–26.2%
    0–32.8%
    0–4+1.2%
    1
    1–08.9%
    1–112.8%
    1–28.3%
    1–33.7%
    1–4+1.6%
    2
    2–06.2%
    2–18.2%
    2–25.5%
    2–32.4%
    2–4+1.1%
    3
    3–02.7%
    3–13.6%
    3–22.4%
    3–31.1%
    3–4+0.5%
    4+
    4+–01.2%
    4+–11.6%
    4+–21.1%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-19%
    3. 3.1-09%
    4. 4.1-28%
    5. 5.2-18%
    Expected goals
    1,321,33
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @2.24EV+8%
    Over 2,550%
    @1.68

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Nagoya Grampus or draw (X2)64%
    • Under 3.5 goals72%

    Combined probability

    46%

    Fair odds

    2.16

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

    02 · 3 legs

    Balanced

    • Double chance Nagoya Grampus or draw (X2)64%
    • Under 2.5 goals50%
    • Katsuhiro Nakayama to score22%

    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 score54%
    • Over 2.5 goals50%
    • Katsuhiro Nakayama to score22%
    • Sho Inagaki 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

    The model's value spots

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

    • Under 2.550% probability@2.24PinnacleEV+13%reference odds
    • Under 2.550% probability@2.15BetsafeEV+8%reference odds
    • Under 2.550% probability@2.15BetssonEV+8%reference odds
    Bookmaker1 · V-Varen NagasakiX2 · Nagoya Grampus
    Betsafe
    EV+ 3%
    3.15
    3.402.05
    Betsson
    EV+ 3%
    3.15
    3.402.05
    Nordicbet
    EV+ 3%
    3.15
    3.402.05
    Pinnacle
    EV+ 6%
    3.25
    EV+ 3%
    3.70
    2.15

    Odds updated 11 Sept, 16:32

    Odds movement

    1+1 %
    32 %27 %

    3.233.25

    X+1 %
    28 %23 %

    3.673.70

    2+1 %
    47 %42 %

    2.122.15

    Over 2,5+1 %
    60 %55 %

    1.671.68

    Pinnacle · 9 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    V-Varen Nagasaki
    Nagoya Grampus
    When goals are scored and conceded 2026
    V-Varen Nagasaki (714)
    Nagoya Grampus (711)
    Pass networks

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

    V-Varen Nagasaki
    Hijiri Onaga: 213 passningar, xT 0.55OnagaMotoki Hasegawa: 204 passningar, xT 0.26HasegawaRiku Yamada: 187 passningar, xT -0.05YamadaRyosuke Shindo: 183 passningar, xT 0.17ShindoHotaru Yamaguchi: 167 passningar, xT 0.71YamaguchiYusei Egawa: 125 passningar, xT 0.31EgawaIkki Arai: 100 passningar, xT 0.08AraiMasaaki Goto: 89 passningar, xT 0.09GotoTakuma Ominami: 86 passningar, xT 0.09OminamiDiego Cristiano Evaristo: 71 passningar, xT 0.06EvaristoYuto Iwasaki: 63 passningar, xT -0.06Iwasaki
    Nagoya Grampus
    Tomoki Takamine: 289 passningar, xT 0.6TakamineSho Inagaki: 263 passningar, xT 0.54InagakiHaruya Fujii: 232 passningar, xT 0.32FujiiAlexandre Pisano: 232 passningar, xT 0.34PisanoShuhei Tokumoto: 224 passningar, xT 0.86TokumotoKatsuhiro Nakayama: 132 passningar, xT 0.44NakayamaRyuji Izumi: 114 passningar, xT 0.35IzumiYuki Nogami: 98 passningar, xT 0.41NogamiTeruki Hara: 82 passningar, xT 0.25HaraYota Sato: 70 passningar, xT 0.26SatoYudai Kimura: 69 passningar, xT 0.31Kimura
    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.

    V-Varen Nagasaki
    Hijiri Onaga: 213 passningar, xT 0.55OnagaMotoki Hasegawa: 204 passningar, xT 0.26HasegawaRiku Yamada: 187 passningar, xT -0.05YamadaRyosuke Shindo: 183 passningar, xT 0.17ShindoHotaru Yamaguchi: 167 passningar, xT 0.71YamaguchiYusei Egawa: 125 passningar, xT 0.31EgawaIkki Arai: 100 passningar, xT 0.08AraiMasaaki Goto: 89 passningar, xT 0.09GotoTakuma Ominami: 86 passningar, xT 0.09OminamiDiego Cristiano Evaristo: 71 passningar, xT 0.06EvaristoYuto Iwasaki: 63 passningar, xT -0.06Iwasaki
    Nagoya Grampus
    Tomoki Takamine: 289 passningar, xT 0.6TakamineSho Inagaki: 263 passningar, xT 0.54InagakiHaruya Fujii: 232 passningar, xT 0.32FujiiAlexandre Pisano: 232 passningar, xT 0.34PisanoShuhei Tokumoto: 224 passningar, xT 0.86TokumotoKatsuhiro Nakayama: 132 passningar, xT 0.44NakayamaRyuji Izumi: 114 passningar, xT 0.35IzumiYuki Nogami: 98 passningar, xT 0.41NogamiTeruki Hara: 82 passningar, xT 0.25HaraYota Sato: 70 passningar, xT 0.26SatoYudai Kimura: 69 passningar, xT 0.31Kimura

    The teams in numbers

    PerformanceV-Varen NagasakiNagoya Grampus
    Points46
    xPoints5.85.7
    xG per match0.861.2
    xGA per match1.51.6
    xG within 8s of winning the ball0.20.15
    xGA within 8s of losing the ball0.360.27
    Playing styleV-Varen NagasakiNagoya Grampus
    Build-up efficiency0.320.31
    Field tilt0.310.58
    xT per match0.851.1
    xTA per match1.11
    Won balls, offensive half1924
    Pressing intensity0.240.22
    Pressing efficiency0.240.33
    Pressing efficiency, offensive half0.210.33
    Entries into the box per match916
    Entries into the box against1611
    Pass completion %0.760.79
    Pass completion % under pressure0.730.75
    Passes per match354423
    Passes against per match467292
    Switches of play per match13.735
    Long balls per match2241
    Set piecesV-Varen NagasakiNagoya Grampus
    xG from free kicks0.020.04
    Corners per match3.95.6
    Corners against per match4.54.3
    xG per corner0.010.06
    xGA per corner against0.010.01
    First touch, offensive corners %0.30.53
    First touch, defensive corners %0.410.73
    OtherV-Varen NagasakiNagoya Grampus
    Throw-in control0.730.76
    The goalkeepersMasaaki Goto (V-Varen Nagasaki)Alexandre Pisano (Nagoya Grampus)
    Saves1819
    Save %60%68%
    xG prevented32%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins V-Varen Nagasaki vs Nagoya Grampus according to our model?

    The model gives Nagoya Grampus a 40% win probability. Full 1X2 picture: V-Varen Nagasaki 33%, draw 28%, Nagoya Grampus 40%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.