Limburg vs Rotterdam prediction
Limburg
25
22
21
19
Rotterdam
17
20
28
15
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.
Limburg8798Rotterdam8074Limburg8798Rotterdam8074Total 172 Margin LIM by 24 Win LIM 94% Actual 167 · LIM won
Limburg
large = predicted · small = actual, ▲above / ▼below the prediction Rotterdam
Large = predicted · small = actual, ▲above / ▼below the prediction
Other
Shooting
Limburg vs Rotterdam
Limburg
Rotterdam
Last 28 and 5 games with full stats · all competitions
Season record above, per-game averages below.
Head-to-head
Head-to-head record: Limburg 2, Rotterdam 0.
- Average total 195.0 points per meeting
- Over 168.5 2 of 2 against this game’s total
- Last meeting LIM by 30 Apr 19, 2026
Meetings
- Apr 19, 2026 BNXT League Limburg 119–89 Rotterdam 208 pts
- Apr 17, 2026 BNXT League Rotterdam 81–101 Limburg 182 pts
Last five games
Limburg
4-1 - Oct 9: CB Liege 73, Limburg 101. Won. Odds: CB Liege 9.00, Limburg 1.01.
- Oct 2: Limburg 100, Mechelen 109. Lost. Odds: Limburg 1.14, Mechelen 4.75.
- May 9: Donar Groningen 71, Limburg 82. Won. No odds on record.
- May 6: Limburg 99, Okapi Aalst 85. Won. No odds on record.
- May 1: Limburg 91, BAL Weert 54. Won. No odds on record.
Rotterdam
0-5 - Oct 9: Den Bosch 79, Rotterdam 50. Lost. Odds: Den Bosch 1.16, Rotterdam 4.40.
- Oct 2: Rotterdam 71, Leiden 76. Lost. Odds: Rotterdam 2.40, Leiden 1.48.
- May 9: Mechelen 97, Rotterdam 73. Lost. No odds on record.
- May 6: Rotterdam 76, Donar Groningen 90. Lost. No odds on record.
- May 2: Okapi Aalst 102, Rotterdam 92. Lost. No odds on record.
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
- 8-game losing streak for Rotterdam coming into this game.
- Over/under moved down from 170.5 to 168.5 since it was first published.
- Net rating difference of 19.1 — Limburg +13.7 per 100 possessions, Rotterdam −5.4.
- 4-1 in the last five for Limburg.
How the odds moved
| Market | Open | Now |
|---|---|---|
| ROT moneyline | 9.60 | moved up 11.00 |
| Total points | 170.5 | moved down 168.5 |
| LIM spread | −22.5 | moved up −20.5 |
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.
BNXT League standings
Regular Season
| # | Team | GP | W | L | Pct | PF | PA | +/− |
|---|---|---|---|---|---|---|---|---|
| 1 |  Antwerp Giants |
5 | 5 | 0 | 1.000 | 535 | 410 | +125 |
| 2 |  Liege |
0 | 0 | 0 | .000 | — | — | 0 |
| 2 | Brussels Basketball | 5 | 4 | 1 | .800 | 407 | 341 | +66 |
| 3 |  Okapi Aalst |
5 | 4 | 1 | .800 | 463 | 417 | +46 |
| 4 |  Oostende |
5 | 3 | 2 | .600 | 385 | 365 | +20 |
| 5 |  Spirou Charleroi |
5 | 3 | 2 | .600 | 399 | 328 | +71 |
| 6 | Limburg |
5 | 3 | 2 | .600 | 456 | 433 | +23 |
| 7 |  Den Bosch |
5 | 3 | 2 | .600 | 399 | 402 | −3 |
| 8 |  Leuven Bears |
5 | 3 | 2 | .600 | 340 | 345 | −5 |
| 9 |  Zwolle |
5 | 3 | 2 | .600 | 352 | 374 | −22 |
| 10 |  Donar Groningen |
5 | 3 | 2 | .600 | 415 | 441 | −26 |
| 11 |  Leiden |
5 | 2 | 3 | .400 | 376 | 388 | −12 |
| 12 |  Mechelen |
5 | 2 | 3 | .400 | 445 | 476 | −31 |
| 13 | Rotterdam | 5 | 2 | 3 | .400 | 381 | 404 | −23 |
| 14 |  Kortrijk |
5 | 0 | 5 | .000 | 405 | 431 | −26 |
| 15 |  CB Liege |
5 | 0 | 5 | .000 | 377 | 462 | −85 |
| 16 |  Belfius Mons |
5 | 0 | 5 | .000 | 326 | 444 | −118 |
Pct percentage of games won. The table follows the league’s own order. W / L wins and losses, GP games played. PF / PA points scored and allowed this season. +/− points scored minus points allowed.
Limburg host Rotterdam in the BNXT League on Friday, October 16, 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.