MathPredictions

Latvia Virsliga

Tukums 2000 vs FK Liepaja Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.49 – 1.65
Avg goals3.15
Our pickAway
Tukums 2000 34% Draw 26% FK Liepaja 41%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Away 41% 2.47 1.85
Double chance Home or away 74% 1.35 1.18
Goals 3 Under 50% 1.99 1.88
Both teams to score Yes 64% 1.57
Asian handicap 0.5 Home +10% Value 59% 1.68 1.85
Corners 9.5 Over 52% 1.93
Correct score 1-1 12% 8.56 7.50

Bookmaker odds

Match result (1X2) Home 3.25  ·  Draw 3.60  ·  Away 1.85
Goals 3 Over 1.93  ·  Under 1.88
Asian handicap 0.5 Home 1.85  ·  Away 1.95

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

Corner forecast

3.6 Tukums 2000
9.6 Expected corners
6.1 FK Liepaja
Corner line 9.50
Over 52% Under 48%

Match trends

Tukums 2000 — last 10 matches

DateH/AOpponentScoreCorners
2026-07-27 H L RFS 0–1 4–8
2026-07-19 A L Riga FC 1–3 2–8
2026-07-11 H L SK Super Nova 1–2 6–3
2026-07-05 A L SC Grobinas 1–3 6–7
2026-07-01 H L SK Super Nova 1–2 7–6
2026-06-26 A L Ogre United 2–3 8–2
2026-06-21 A L FS Jelgava 1–4 1–6
2026-06-17 H W FK Auda 2–1 2–6
2026-06-12 H D BFC Daugavpils 1–1 3–4
2026-05-30 A L FK Liepaja 0–3 4–8

FK Liepaja — last 10 matches

DateH/AOpponentScoreCorners
2026-07-31 A L FK Austria Vienna 1–3 3–8
2026-07-26 A W FS Jelgava 2–0 4–4
2026-07-23 H L FK Austria Vienna 0–2 6–3
2026-07-16 A W FK Decic Tuzi 2–1 1–11
2026-07-11 A L FK Auda 0–1 5–4
2026-07-10 H W FK Decic Tuzi 1–0 2–10
2026-07-04 A L BFC Daugavpils 1–3 7–2
2026-07-01 H W Ogre United 4–0 8–7
2026-06-27 H L RFS 0–2 1–4
2026-06-21 A L Riga FC 0–4 4–5

Match questions

Who is predicted to win Tukums 2000 vs FK Liepaja?
Our model gives Tukums 2000 a 34% chance, the draw 26% and FK Liepaja 41%. The most likely score is 1-1.
How many corners are expected in Tukums 2000 vs FK Liepaja?
The corner model projects 9.6 total corners. Over 9.50 corners is rated at 52% 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.