MathPredictions

Israel League Cup

Ironi Tiberias vs Hapoel Ironi Kiryat Shmona Prediction

Kickoff (UTC):

LIVE 02′ 0–0

Corners0–0
Yellow cards0–0
Shots on target0–0
Shots off target0–0
Attacks1–11
Dangerous attacks0–8
Possession11%–89%
Predicted score 1-1
Expected goals1.43 – 1.35
Avg goals2.78
Our pickHome
Ironi Tiberias 38% Draw 28% Hapoel Ironi Kiryat Shmona 34%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 38% 2.64 2.38
Double chance Home or away 72% 1.38 1.24
Goals 2.5 Over 53% 1.90 1.80
Both teams to score Yes 58% 1.74
Asian handicap 0 Home 52% 1.91 1.80
Correct score 1-1 13% 7.59 6.50

Bookmaker odds

Match result (1X2) Home 2.38  ·  Draw 3.25  ·  Away 2.60
Goals 2.5 Over 1.80  ·  Under 2.00
Asian handicap 0 Home 1.80  ·  Away 2.00

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

Match trends

Ironi Tiberias — last 10 matches

DateH/AOpponentScoreCorners
2026-07-29 A L Hapoel Haifa 1–3 6–3
2026-07-26 H W Bnei Sakhnin 2–1 6–3
2026-05-19 A W Hapoel Jerusalem FC 2–0 0–9
2026-05-14 H W Maccabi Bnei Raina 1–0 1–11
2026-05-11 H W Maccabi Netanya 4–3 12–3
2026-05-04 A W MS Ashdod 3–0 1–5
2026-04-30 A D Hapoel Haifa 1–1 5–8
2026-04-27 H W Hapoel Ironi Kiryat Shmona 2–0 2–9
2026-04-19 A D Bnei Sakhnin 0–0 2–4
2026-04-12 H D MS Ashdod 0–0 5–2

Hapoel Ironi Kiryat Shmona — last 10 matches

DateH/AOpponentScoreCorners
2026-07-29 H W Maccabi Haifa 3–0 3–9
2026-05-19 H L MS Ashdod 2–3 2–5
2026-05-14 A W Bnei Sakhnin 4–0 7–4
2026-05-10 A D Maccabi Bnei Raina 1–1 3–5
2026-05-04 H W Hapoel Haifa 2–0 3–12
2026-04-30 H W Maccabi Netanya 1–0 4–3
2026-04-27 A L Ironi Tiberias 0–2 9–2
2026-04-20 H W Hapoel Jerusalem FC 3–1 3–5
2026-04-13 A L Maccabi Haifa 1–4 3–3
2026-04-05 H W Bnei Sakhnin 2–0 5–2

Match questions

Who is predicted to win Ironi Tiberias vs Hapoel Ironi Kiryat Shmona?
Our model gives Ironi Tiberias a 38% chance, the draw 28% and Hapoel Ironi Kiryat Shmona 34%. The most likely score is 1-1.
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.