Conference League: Predictions, Odds & Tips
Läs på svenskaModel-based predictions for the Scottish Premiership — powered by the same match model behind PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals, over/under lines and both-teams-to-score, built from hundreds of data points per team: strength, form, playing style, weather and more.
We compare the predictions against live odds from multiple bookmakers and flag positive expected value (EV+) where the model’s probability beats the implied odds. Once matches are played, we grade every prediction openly — hit or miss. Everything updates continuously through the week until kickoff.
Upcoming matches
League table2026/27
| Pos | Team | S | W–D–L | GF–GA | P | xP | xG | xGA | xGD | FT | Style |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 2–0–0 | 9–3 | 6 | 4,2 | 5,5 | 1,3 | +4,2 | 80 % | Possession & high press | |
| 2 | Ajax | 2 | 2–0–0 | 8–2 | 6 | 4,4 | 5,8 | 0,8 | +5,0 | 88 % | Possession & high press |
| 3 | 2 | 2–0–0 | 6–1 | 6 | 3,2 | 5,2 | 2,1 | +3,1 | 90 % | Possession & high press | |
| 4 | Austria Wien | 2 | 2–0–0 | 5–1 | 6 | 3,3 | 3,9 | 2,2 | +1,7 | 60 % | Counter-attacks & crosses |
| 5 | 2 | 2–0–0 | 4–0 | 6 | 3,6 | 2,9 | 1,4 | +1,5 | 62 % | Possession & high press | |
| 6 | Győri ETO | 2 | 1–1–0 | 7–3 | 4 | 3,6 | 4,0 | 2,4 | +1,6 | 55 % | Balanced & physical |
| 7 | 2 | 1–1–0 | 5–1 | 4 | 4,0 | 4,0 | 0,6 | +3,4 | 87 % | Possession & high press | |
| 8 | 2 | 1–1–0 | 3–1 | 4 | 4,0 | 3,4 | 3,0 | +0,4 | 21 % | Low block & direct | |
| 9 | 2 | 1–1–0 | 5–4 | 4 | 2,7 | 2,6 | 4,5 | −1,9 | 23 % | Counter-attacks & crosses | |
| 10 | 2 | 1–1–0 | 4–3 | 4 | 3,2 | 3,4 | 1,5 | +1,9 | 68 % | Possession control | |
| 11 | 2 | 1–1–0 | 1–0 | 4 | 3,4 | 3,5 | 2,4 | +1,1 | 56 % | Possession & high press | |
| 12 | 2 | 1–0–1 | 6–1 | 3 | 3,3 | 3,2 | 2,1 | +1,1 | 53 % | Possession control | |
| 13 | 2 | 1–0–1 | 1–6 | 3 | 2,3 | 2,1 | 3,2 | −1,1 | 47 % | Possession control | |
| 14 | Polissya Zhytomyr | 2 | 0–1–1 | 4–5 | 1 | 2,9 | 4,5 | 2,6 | +1,9 | 77 % | Possession & high press |
| 15 | 2 | 0–1–1 | 3–4 | 1 | 2,2 | 1,5 | 3,4 | −1,9 | 32 % | Low block & direct | |
| 16 | 2 | 0–1–1 | 0–1 | 1 | 2,1 | 2,4 | 3,5 | −1,1 | 44 % | Counter-attacks & crosses | |
| 17 | 2 | 0–1–1 | 1–3 | 1 | 1,5 | 3,0 | 3,4 | −0,4 | 79 % | Possession & high press | |
| 18 | 2 | 0–1–1 | 3–7 | 1 | 1,9 | 2,4 | 4,0 | −1,6 | 45 % | Balanced & physical | |
| 19 | 2 | 0–1–1 | 1–5 | 1 | 1,6 | 0,6 | 4,0 | −3,4 | 13 % | Low block & direct | |
| 20 | 2 | 0–0–2 | 1–5 | 0 | 2,2 | 2,2 | 3,9 | −1,7 | 40 % | Possession & high press | |
| 21 | FK Velez Mostar | 2 | 0–0–2 | 0–4 | 0 | 1,9 | 1,4 | 2,9 | −1,5 | 38 % | Low block & direct |
| 22 | Dukagjini | 2 | 0–0–2 | 1–6 | 0 | 2,3 | 2,1 | 5,2 | −3,1 | 10 % | Low block & direct |
| 23 | 2 | 0–0–2 | 3–9 | 0 | 1,4 | 1,3 | 5,5 | −4,2 | 20 % | Counter-attacks & crosses | |
| 24 | 2 | 0–0–2 | 2–8 | 0 | 1,3 | 0,8 | 5,8 | −5,0 | 12 % | Low block & direct |
Latest articles
All articles
2026-05-22 · 1 min
Player Profile: Daichi Kamada (Crystal Palace)
Daichi Kamada has established himself as Crystal Palace's creative hub in midfield with 162 meters of progressive passing and 1.4 goal chance assists per match, which shows his ability to both create chances and move the play forward effectively. The Japanese midfielder combines offensive creativity with defensive discipline through his 4.5 interceptions per match, making him a complete box-to-box player who links defense and attack for Palace.

2026-03-30 · 1 min
Scouting Report: Ro-Zangelo Daal (AZ Alkmaar)
Ro-Zangelo Daal, 22-year-old left winger at AZ Alkmaar, impresses with strong offensive statistics where he delivers 2 shots per match and 1.5 key passes - both values above the league average. His technical profile as an "Artist" with high xT values and creative passing makes him a strong candidate for immediate reinforcement for teams seeking an offensive midfield solution.
Played matches
Prediction track recordHow the predictions work
Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.
For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.
Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.
Ajax
Austria Wien
Győri ETO
Polissya Zhytomyr