MathPredictions

Finland Veikkausliiga

IF Gnistan vs FC Ilves Prediction

Kickoff (UTC):

Predicted score 1-111%2-18%1-28%
Expected goals1.64 – 1.59
Avg goals3.24
Our pickHome
IF Gnistan 39% Draw 24% FC Ilves 37%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 39% 2.56 2.25
Double chance Home or away 76% 1.32 1.27
Goals 3 Over 52% 1.92 1.95
Both teams to score Yes 65% 1.55 1.50
Asian handicap 0 Home 51% 1.95 1.78
Corners 10.5 Under 55% 1.82 1.80
Correct score 1-1 11% 9.36 7.00

Bookmaker odds

Match result (1X2) Home 2.25  ·  Draw 3.40  ·  Away 2.90
Goals 3 Over 1.95  ·  Under 1.85
Asian handicap 0 Home 1.78  ·  Away 2.03
Corners 10.5 Over 2.00  ·  Under 1.80

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

Corner forecast

4.5 IF Gnistan
10.1 Expected corners
5.6 FC Ilves
Corner line 10.50
Over 45% Under 55%

Match trends

IF Gnistan — last 10 matches

DateH/AOpponentScoreCorners
2026-08-08 A D SJK 2–2 2–5
2026-08-02 H L KuPS Kuopio 0–1 8–3
2026-07-26 A W FC Inter 2–1 3–4
2026-07-18 A W AC Oulu 2–0 2–10
2026-07-11 H W IFK Mariehamn 4–2 8–2
2026-07-04 A L Lahti 0–1 3–10
2026-06-28 H D VPS Vaasa 1–1 3–4
2026-06-24 A D FF Jaro 1–1 6–6
2026-06-18 H W Lahti 1–0 2–6
2026-06-14 A W IFK Mariehamn 3–0 3–10

FC Ilves — last 10 matches

DateH/AOpponentScoreCorners
2026-08-14 H D HNK Rijeka 1–1 4–3
2026-08-09 H W IFK Mariehamn 2–0 4–11
2026-08-07 A L HNK Rijeka 0–1 1–9
2026-08-02 A L AC Oulu 0–1 4–5
2026-07-31 H W Stjarnan 1–0 5–6
2026-07-26 H W Lahti 1–0 8–8
2026-07-24 A L Stjarnan 0–1 2–8
2026-07-20 A W TPS 3–1 6–7
2026-07-17 H W FC 03 Differdange 3–1 0–2
2026-07-09 A D FC 03 Differdange 0–0 6–2

Match questions

Who is predicted to win IF Gnistan vs FC Ilves?
Our model gives IF Gnistan a 39% chance, the draw 24% and FC Ilves 37%. The most likely score is 1-1.
How many corners are expected in IF Gnistan vs FC Ilves?
The corner model projects 10.1 total corners. Over 10.50 corners is rated at 45% 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.