Mjallby AIF vs IF Elfsborg Sat, Aug 8, 2026 11:30 PM AI Verdict Home Win — 69% probability ★★★★★ A. Noren (Mjallby AIF) — Minor Missing Fixture R. Wikstrom (IF Elfsborg) — Minor Missing Fixture T. Miettinen (Mjallby AIF) — Minor Missing Fixture Confidence: Decisive · Updated: Sat, Aug 8, 2026 11:30 PM AI Prediction Predicted outcome: Home Win (69% probability) Home Win: 69% Draw: 16% Away Win: 15% Most likely scores: 1-1 (13%), 0-1 (12%), 1-0 (12%) Model Confidence Confidence Rating: Decisive (100%) Clear separation between top 2 outcomes Prediction Evolution (10 snapshots) 17:10 — Home 1% / Draw 0% / Away 0% 17:10 — Home 1% / Draw 0% / Away 0% (Δ Home +0.1%) 17:10 — Home 0% / Draw 0% / Away 0% (Δ Home -0.4%, Draw +0.1%, Away +0.2%) 17:10 — Home 0% / Draw 0% / Away 0% 18:56 — Home 44% / Draw 26% / Away 30% (Δ Home +43.4%, Draw +26.1%, Away +29.3%) 18:56 — Home 44% / Draw 26% / Away 30% 18:56 — Home 44% / Draw 26% / Away 30% 18:56 — Home 44% / Draw 26% / Away 30% 18:56 — Home 44% / Draw 26% / Away 30% 18:56 — Home 44% / Draw 26% / Away 30% Advanced Details Match Signals 🩹 A. Noren (Mjallby AIF) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%] 🩹 R. Wikstrom (IF Elfsborg) — Minor Missing Fixture ✅ confirmed [Impact: Home +1%, Away -1%] 🩹 T. Miettinen (Mjallby AIF) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%] 🩹 V. Gustafson (Mjallby AIF) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%] 🩹 L. Richtner (IF Elfsborg) — Minor Missing Fixture ✅ confirmed [Impact: Home +1%, Away -1%] 🩹 P. Frick (IF Elfsborg) — Out Missing Fixture ✅ confirmed [Impact: Home +1%, Draw +1%, Away -2%] Frequently Asked Questions Why is Home Win the clear favorite? The AI model assigns 69% probability to Home Win, indicating strong confidence based on historical data, ELO ratings, and recent form analysis. What is the biggest factor affecting this prediction? A. Noren (Mjallby AIF) — Minor Missing Fixture How confident is the model in this ranking (Decisive, 100%)? Model Confidence measures how certain the AI is about the order of outcomes, not any single probability. A clear gap between the top two outcomes gives the model high conviction in its ranking. How does the AI prediction model work? Our ensemble combines Gradient Boosting and Random Forest models trained on historical match data, ELO team ratings, recent form, and statistical metrics. Score distributions use Poisson-based simulations for the most likely scorelines.