Orgryte IS vs Djurgardens IF Tue, Jul 21, 2026 01:00 AM AI Verdict Home Win — 60% probability ★★★★★ C. Vindehall (Orgryte IS) — Minor Missing Fixture M. Nilsson (Djurgardens IF) — Minor Missing Fixture N. Zugelj (Djurgardens IF) — Minor Missing Fixture Confidence: Decisive · Updated: Tue, Jul 21, 2026 01:00 AM AI Prediction Predicted outcome: Home Win (60% probability) Home Win: 60% Draw: 19% Away Win: 21% 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 0% / Draw 0% / Away 1% (Δ Home -0.5%, Away +0.5%) 17:10 — Home 0% / Draw 0% / Away 0% (Δ Draw +0.1%, Away -0.2%) 17:10 — Home 0% / Draw 0% / Away 0% 18:56 — Home 25% / Draw 27% / Away 48% (Δ Home +24.9%, Draw +26.3%, Away +47.8%) 18:56 — Home 25% / Draw 27% / Away 48% 18:56 — Home 25% / Draw 27% / Away 48% 18:56 — Home 25% / Draw 27% / Away 48% 18:56 — Home 25% / Draw 27% / Away 48% 18:56 — Home 25% / Draw 27% / Away 48% Advanced Details Match Signals 🩹 C. Vindehall (Orgryte IS) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%] 🩹 M. Nilsson (Djurgardens IF) — Minor Missing Fixture ✅ confirmed 🩹 N. Zugelj (Djurgardens IF) — Minor Missing Fixture ✅ confirmed [Impact: Home +1%, Away -1%] 🩹 J. Tibbling (Orgryte IS) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%] 🩹 R. Alm (Orgryte IS) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%] 🩹 A. Abukar (Orgryte IS) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%] Frequently Asked Questions Why is Home Win the clear favorite? The AI model assigns 60% 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? C. Vindehall (Orgryte IS) — 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.