MathPredictions

Latvia Virsliga

BFC Daugavpils vs FS Jelgava Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.63 – 1.00
Avg goals2.63
Our pickHome
BFC Daugavpils 51% Draw 27% FS Jelgava 22%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 51% 1.97 1.75
Double chance Home or draw 78% 1.28 1.17
Goals 2.75 Under 58% 1.74 1.80
Both teams to score Yes 52% 1.93 1.73
Asian handicap -0.5 Home 51% 1.97 1.80
Corners 9.5 Under 53% 1.89
Correct score 1-1 13% 7.73 7.00

Bookmaker odds

Match result (1X2) Home 1.75  ·  Draw 3.50  ·  Away 3.80
Goals 2.75 Over 2.00  ·  Under 1.80
Asian handicap -0.5 Home 1.80  ·  Away 2.00

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

Corner forecast

4.7 BFC Daugavpils
9.3 Expected corners
4.5 FS Jelgava
Corner line 9.50
Over 47% Under 53%

Match trends

BFC Daugavpils — last 10 matches

DateH/AOpponentScoreCorners
2026-07-27 A L FK Auda 0–1 2–6
2026-07-19 A W Ogre United 4–0 2–6
2026-07-11 A D Riga Mariners 3–3 7–0
2026-07-04 H W FK Liepaja 3–1 2–7
2026-06-30 A L RFS 1–3 1–4
2026-06-25 H D Riga FC 0–0 2–0
2026-06-20 H W SC Grobinas 1–0 4–3
2026-06-16 H D SK Super Nova 0–0 7–1
2026-06-12 A D Tukums 2000 1–1 4–3
2026-05-31 A D FS Jelgava 1–1 7–11

FS Jelgava — last 10 matches

DateH/AOpponentScoreCorners
2026-07-26 H L FK Liepaja 0–2 4–4
2026-07-20 H L RFS 0–1 2–11
2026-07-13 A L RFS 0–2 3–14
2026-07-04 A L Riga FC 0–3 2–11
2026-06-29 H W SC Grobinas 2–0 6–2
2026-06-26 A W SK Super Nova 5–1 5–3
2026-06-21 H W Tukums 2000 4–1 6–1
2026-06-17 H L Ogre United 0–2 6–9
2026-06-13 A D FK Auda 1–1 6–5
2026-05-31 H D BFC Daugavpils 1–1 11–7

Match questions

Who is predicted to win BFC Daugavpils vs FS Jelgava?
Our model gives BFC Daugavpils a 51% chance, the draw 27% and FS Jelgava 22%. The most likely score is 1-1.
How many corners are expected in BFC Daugavpils vs FS Jelgava?
The corner model projects 9.3 total corners. Over 9.50 corners is rated at 47% 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.