Forca Lleida vs Real Madrid prediction


All predictions
3 picks graded · Average confidence 81%Model is the model’s estimated win chance for the pick, Market the win chance the odds gave it when the pick was published, and Edge the difference between the two.
The score the model expects. An estimate, not a bet we publish.
Total 193 Margin REA by 15 Win REA 83% Actual 208 · REA won
Large = predicted · small = actual, ▲above / ▼below the prediction
Rebounds
Other
Shooting
Forca Lleida vs Real Madrid
Last 5 and 15 games with full stats · all competitions
Season record above, per-game averages below.
Head-to-head
Head-to-head record: Forca Lleida 0, Real Madrid 2.
- Average total 171.0 points per meeting
- Over 188.5 0 of 2 against this game’s total
- Last meeting REA by 17 Mar 15, 2026
Meetings
- Mar 15, 2026 ACB Real Madrid 95–78 Forca Lleida 173 pts
- Dec 20, 2025 ACB Forca Lleida 81–88 Real Madrid 169 pts
Last five games
- Oct 18: Basket Zaragoza 109, Forca Lleida 98. Lost. Odds: Basket Zaragoza 1.29, Forca Lleida 3.15.
- Oct 11: Obradoiro CAB 91, Forca Lleida 89. Lost. Odds: Obradoiro CAB 1.75, Forca Lleida 2.00.
- Oct 4: Forca Lleida 81, San Pablo Burgos 94. Lost. Odds: Forca Lleida 1.34, San Pablo Burgos 3.12.
- Sep 27: Valencia 100, Forca Lleida 105. Won. Odds: Valencia 1.11, Forca Lleida 6.12.
- May 29: Murcia 116, Forca Lleida 95. Lost. No odds on record.
- Oct 22: Maccabi Tel Aviv 99, Real Madrid 113. Won. Odds: Maccabi Tel Aviv 2.50, Real Madrid 1.46.
- Oct 18: Real Madrid 119, Bilbao 84. Won. Odds: Real Madrid 1.10, Bilbao 5.60.
- Oct 15: Real Madrid 111, Lyon-Villeurbanne 92. Won. Odds: Real Madrid 1.16, Lyon-Villeurbanne 5.23.
- Oct 13: Olimpia Milano 89, Real Madrid 98. Won. Odds: Olimpia Milano 2.40, Real Madrid 1.57.
- Oct 11: Real Madrid 120, Manresa 83. Won. Odds: Real Madrid 1.07, Manresa 7.70.
Results before this game, all competitions: the home side on top, the team in bold, the moneyline odds each side had; the winner’s are highlighted.
Key insights
- 7-game winning streak for Real Madrid coming into this game.
- 3-game losing streak for Forca Lleida coming into this game.
- Rest advantage: 6 days off for Forca Lleida, 2 for Real Madrid.
- Over/under moved up from 182.5 to 188.5 since it was first published.
- Net rating difference of 33.1 — Forca Lleida −14.6 per 100 possessions, Real Madrid +18.5.
How the odds moved
| Market | Open | Now |
|---|---|---|
| FOR moneyline | 5.25 | moved up 6.00 |
| REA moneyline | 1.12 | moved down 1.10 |
| Total points | 182.5 | moved up 188.5 |
| FOR spread | +10.5 | +10.5 |
Opening and current odds from the bookmakers we track; the spread is shown from the home team’s side. The arrow shows which way the odds moved.
ACB standings
Regular Season
| # | Team | GP | W | L | Pts | PF | PA | +/− |
|---|---|---|---|---|---|---|---|---|
| 1 | 6 | 6 | 0 | 12 | 654 | 526 | +128 | |
| 2 | 6 | 4 | 2 | 10 | 594 | 523 | +71 | |
| 3 | 6 | 4 | 2 | 10 | 567 | 497 | +70 | |
| 4 | 6 | 4 | 2 | 10 | 527 | 479 | +48 | |
| 5 | 6 | 4 | 2 | 10 | 628 | 592 | +36 | |
| 6 | 6 | 4 | 2 | 10 | 552 | 523 | +29 | |
| 7 | 6 | 4 | 2 | 10 | 582 | 570 | +12 | |
| 8 | 6 | 4 | 2 | 10 | 557 | 556 | +1 | |
| 9 | 6 | 3 | 3 | 9 | 530 | 507 | +23 | |
| 10 | 6 | 3 | 3 | 9 | 560 | 563 | −3 | |
| 11 | 6 | 3 | 3 | 9 | 533 | 576 | −43 | |
| 12 | 6 | 3 | 3 | 9 | 543 | 594 | −51 | |
| 13 | 6 | 2 | 4 | 8 | 528 | 525 | +3 | |
| 14 | 6 | 2 | 4 | 8 | 551 | 549 | +2 | |
| 15 | 6 | 2 | 4 | 8 | 540 | 599 | −59 | |
| 16 | 6 | 1 | 5 | 7 | 507 | 579 | −72 | |
| 17 | 6 | 1 | 5 | 7 | 557 | 641 | −84 | |
| 18 | 6 | 0 | 6 | 6 | 506 | 617 | −111 |
- Playoffs: Quarter-finals
- Relegation - Primera FEB
Pts standings points: 2 for a win, 1 for a loss — the table is sorted by them. W / L wins and losses, GP games played. PF / PA points scored and allowed this season. +/− points scored minus points allowed.
Forca Lleida host Real Madrid in the ACB on Sunday, October 25, 2026. Who wins, by how many points, and how many points in total — our moneyline, spread and over/under picks come from one model, and every pick is marked won or lost for everyone to see. The model uses predicted pace and scoring, recent form, the standings and the bookmakers’ current odds.