MathPredictions

Finland Kolmonen

Gnistan/Ogeli vs TiPS U21 Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals2.13 – 1.65
Avg goals3.78
Our pickHome
Gnistan/Ogeli 48% Draw 22% TiPS U21 29%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 48% 2.08 1.50
Double chance Home or away 78% 1.29 1.11
Goals 4 Under +11% Value 59% 1.69 1.93
Both teams to score Yes 72% 1.39
Asian handicap -1.25 Away +24% Value 68% 1.47 1.85
Corners 9.5 Over 56% 1.79
Correct score 1-1 +15% Value 9% 11.31 13.00

Bookmaker odds

Match result (1X2) Home 1.50  ·  Draw 4.75  ·  Away 4.20
Goals 4 Over 1.88  ·  Under 1.93
Asian handicap -1.25 Home 1.95  ·  Away 1.85

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

Corner forecast

4.2 Gnistan/Ogeli
10.0 Expected corners
5.8 TiPS U21
Corner line 9.50
Over 56% Under 44%

Match trends

Gnistan/Ogeli — last 10 matches

DateH/AOpponentScoreCorners
2026-07-23 A L JaPS II 1–3 3–13
2026-07-03 H L FC Lahti II 0–2 3–6
2026-06-07 A D Atlantis FC/Akatemia 1–1 7–5
2026-05-31 H L Sibbov 1–3 6–7
2026-05-23 A L TuPS 0–5 3–13
2026-05-09 H D MK United 2–2 2–5
2026-05-03 H L RiPS 1–2 4–2
2026-04-24 A D TiPS U21 1–1 7–5
2026-04-18 H D JaPS II 2–2 4–10
2025-10-04 A L FC Kontu 0–4 2–11

TiPS U21 — last 10 matches

DateH/AOpponentScoreCorners
2026-07-31 A L JaPS U21 1–2 1–8
2026-07-26 H L FC Honka U21 1–2 5–10
2026-07-24 H W Atlantis FC/Akatemia 3–2 11–0
2026-07-03 A L TuPS 0–4 2–3
2026-06-18 H L RiPS 1–4 1–7
2026-06-12 H L JaPS II 0–4 2–6
2026-06-06 A L FC Lahti II 0–4 2–7
2026-05-29 H D ToTe/Tapio 1–1 3–2
2026-05-23 A L Sibbov 2–4 13–1
2026-05-15 H W MK United 2–1 2–6

Match questions

Who is predicted to win Gnistan/Ogeli vs TiPS U21?
Our model gives Gnistan/Ogeli a 48% chance, the draw 22% and TiPS U21 29%. The most likely score is 1-1.
How many corners are expected in Gnistan/Ogeli vs TiPS U21?
The corner model projects 10.0 total corners. Over 9.50 corners is rated at 56% 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.