Paris Maghoma Props and Odds

FIT

Norwich· EFL ChampionshipEnglandCentral MidfieldAge 25#25

Club

Norwich

EFL Championship

Role

Central Midfield

Shirt 25

Availability

No active injury record

Missing data not treated as confirmation

Reference data updated 10 Oct 2026, 15:35 BST

Maghoma model signals in brief

Updated 13 Oct 2026, 01:31 BST

Paris Maghoma model probabilities for Norwich against Southampton: over 0.5 shots on target 22.1%, over 0.5 shots 52.8%, to be booked 11.8%.

These probabilities are neutral model outputs. Regional operators, current quotes, implied probabilities and quote-derived edges are not embedded in the shared document.

Source: SportSignals verified match records, per-match xG and model probabilities. Commercial prices are not embedded in this shared page; missing metrics are never inferred as zero.

Player-market model probabilities

Next match: Norwich v Southampton

0/19Anytime scorerLast 19 covered matches

2/192+ shots on targetSame covered sample

0.17xG per 90Covered sample

Over 0.5 shots on targetNeutral pre-match model probability · model line 0.522.1%model

Over 0.5 shotsNeutral pre-match model probability · model line 0.552.8%model

To be bookedNeutral pre-match model probability11.8%model

Score or assistNeutral pre-match model probability22.1%model

Over 1.5 tacklesNeutral pre-match model probability · model line 1.59.0%model

To assistNeutral pre-match model probability22.1%model

Dedicated odds pages:Anytime scorer odds Shots on target odds Assist odds

Norwich v Southampton match centre

Model outputs are request-independent and frozen before kick-off. Regional operator and price data is not embedded in this shared page.

Model questions

Is Paris Maghoma fit to play?

Paris Maghoma is listed with no active injury record as of the latest update. SportSignals leaves missing data blank rather than treating it as confirmation.

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Paris Maghoma Props and Odds

Maghoma model signals in brief

Player-market model probabilities

Model questions

Maghoma model signals in brief

Player-market model probabilities

Model questions

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