MathPredictions

UK Friendlies

Blyth Spartans vs Hebburn Town Prediction

Kickoff (UTC):

Predicted score 0-2
Expected goals0.92 – 2.17
Avg goals3.09
Our pickAway
Blyth Spartans 14% Draw 21% Hebburn Town 65%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Away 65% 1.54 1.50
Double chance Draw or away 86% 1.16 1.10
Goals 2.5 Over 60% 1.68 1.90
Both teams to score Yes 54% 1.84
Corners 9.5 Under 71% 1.41
Correct score 0-2 11% 9.35

Bookmaker odds

Match result (1X2) Home 4.75  ·  Draw 4.10  ·  Away 1.50
Goals 2.75 Over 1.90  ·  Under 1.90

Latest pre-match prices from the odds feed, refreshed hourly until 30 minutes before kickoff.

Corner forecast

3.7 Blyth Spartans
7.7 Expected corners
4.1 Hebburn Town
Corner line 9.50
Over 29% Under 71%

Match trends

Blyth Spartans — last 10 matches

DateH/AOpponentScoreCorners
2026-04-11 H D Garforth Town 0–0 7–5
2026-03-12 A L Redcar Athletic 0–1 5–4
2026-03-07 A W Ossett United 1–0 2–1
2026-02-26 A D Heaton Stannington 1–1 0–2
2025-10-15 A L Dunston UTS 0–3 6–9
2025-10-08 H L Heaton Stannington 3–4 10–2
2025-09-20 A D Hallam 1–1 5–5
2025-08-25 H D Ashington 1–1 5–4
2025-08-20 H W Newton Aycliffe 2–1 0–5
2025-08-16 A L Pontefract Collieries 0–1 4–4

Hebburn Town — last 10 matches

DateH/AOpponentScoreCorners
2026-07-22 H L Hartlepool 2–3 1–6
2026-07-18 A D Morpeth Town 2–2 3–3
2026-07-15 H D Gateshead 3–3 0–3
2026-07-04 H W Warrington Rylands 5–0 10–2
2026-04-25 H W Rushall Olympic 2–0 6–0
2026-04-18 A W Bamber Bridge 2–1 3–9
2026-03-21 H D Prescot Cables 0–0 9–4
2026-03-14 A D Warrington Town 0–0 3–5
2026-03-07 H W Gainsborough 2–1 1–4
2026-02-14 H D FC United of Manchester 1–1 3–6

Match questions

Who is predicted to win Blyth Spartans vs Hebburn Town?
Our model gives Blyth Spartans a 14% chance, the draw 21% and Hebburn Town 65%. The most likely score is 0-2.
How many corners are expected in Blyth Spartans vs Hebburn Town?
The corner model projects 7.7 total corners. Over 9.50 corners is rated at 29% probability.
How are these predictions calculated?
Predictions come from a statistical model fitted on multi-season match results: team attack/defense ratings with time decay, blended with current market lines. No human tipsters are involved, and every published prediction is settled and counted in our public accuracy record.