Yokohama F. Marinos — Tokyo Verdy, J1 League

Japan, J1 LeagueOctober 21 at 10:00 AM

Yokohama F. Marinos

WDWDL

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Tokyo Verdy

LDDLL

Team strength by Elo, 0 to 5What this means

Strength is the team’s Elo rating rescaled to 0–5 across all matches in the competition: it rises after wins over strong opponents and falls after losses to weak ones. The bar colour is the tier: red — weak, amber — below average, green — solid, blue — the strongest. The letters under the bar are the last five matches: W — win, D — draw, L — loss.

Outcome probability

57%24%19%

Yokohama F. Marinos57%Draw24%Tokyo Verdy19%

Model vs market

Our probability against the one implied by the bookmaker price. The Δ column is the gap in percentage points.

OutcomeModelMarketΔ

1Yokohama F. Marinos57%1.75—

XDraw24%4.16—

2Tokyo Verdy19%5.29—

our modelmarket — implied by the bookmaker price

Quick markets

The three most common questions — our probability next to the bookmaker line.

Both teams to score

Yes51%

ours 1.98

No49%

ours 2.02

Over 2.5 goals

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Over 9.5 corners

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Average totals by team

A plain average for each side over its most recent matches — what the totals grow out of. A fact, not a model forecast.

MetricYokohama F. MarinosTokyo VerdyCombined

Goals scored1.000.331.33

Conceded0.331.001.33

Corners7.810.89.3

Cards1.51.83.3

Offsides

Throw-ins

Fouls

Shots

Shots on target

The other six metrics — with a subscription

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Average over the last 5 completed matches of each team. The combined column adds the two sides; only corners are averaged, because they already arrive as a match total.

Confident answers

The line the model is most sure about — and how often such answers have come in.

Goals

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70%of such answers on goals came inlast 60 days · 890 matches

Corners

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69%of such answers on corners came inlast 60 days · 889 matches

Cards

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69%of such answers on cards came inlast 60 days · 886 matches

This is a probability, not a guarantee: roughly 3 answers in 10 don’t come in. Bookmaker odds on these lines are low — this block shows the model’s accuracy, not the value of a bet.