Rotterdam vs Belfius Mons Prediction & Odds

BNXT League Sunday, October 25, 2026Sun, Oct 25 Start09:00ET

RotterdamHome · 1.50

8920153024

Belfius MonsAway · 0-5 · 16th · 2.35

7719172219

By quarter 1st 2nd 3rd 4th

Rotterdam 20 15 30 24

Belfius Mons 19 17 22 19

FT Topsportcentrum RotterdamTopsportcentrum Rotterdam

Best tip of the game

Moneyline Won

1 1.36 85%

Rotterdam to win edge −6.7%

Best tip of the game Moneyline · Won 1 1.36 Rotterdam to win Confidence85% model 69.5% · market 76.2% edge −6.7%

All predictions

3 picks graded · Average confidence 78%

Picks for this game

Market PickOdds Model Market Edge Confidence Result

Moneyline 1 1.36 69.5% 76.2% −6.7% 85% Won

Total points U166.5 1.48 68.8% 65.4% +3.4% 85% Won

Point spread BEL +15.5 1.27 57.2% 72.2% −15.0% 64% Won

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.

Predicted final score

ActualPredicted

Rotterdam8983

Belfius Mons7774

Total 157 actual 166

Winning margin ROT by 9 actual ROT by 12

Chance to win ROT 70% ROT won

Predicted final score

ActualPredicted

Rotterdam8983

Belfius Mons7774

Total 157 Margin ROT by 9 Win ROT 70% Actual 166 · ROT won

Predicted team stats

Prediction From 20+ games with full stats per team · no bookmaker odds

Rotterdam large = predicted · small = actual, above / below the prediction Belfius Mons

Large = predicted · small = actual, above / below the prediction

Rebounds

Other

Shooting

Rotterdam vs Belfius Mons

Rotterdam Belfius Mons

Last 5 and 29 games with full stats · all competitions

Season record above, per-game averages below.

Last five games

Rotterdam 0-5

Oct 16: Limburg 87, Rotterdam 80. Lost. Odds: Limburg –, Rotterdam 11.00.
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.

Belfius Mons 0-5

Oct 17: Belfius Mons 57, Zwolle 74. Lost. Odds: Belfius Mons 3.75, Zwolle 1.12.
Oct 9: Spirou Charleroi 98, Belfius Mons 60. Lost. Odds: Spirou Charleroi 1.04, Belfius Mons 7.50.
Oct 3: Belfius Mons 63, Antwerp Giants 100. Lost. Odds: Belfius Mons 14.30, Antwerp Giants –.
May 9: Den Bosch 107, Belfius Mons 57. Lost. No odds on record.
May 6: Belfius Mons 79, Spirou Charleroi 101. 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.

How the odds moved

Market	Open	Now
ROT moneyline	1.20	moved up 1.50
BEL moneyline	3.90	moved down 2.35
Total points	159.5	159.5
ROT spread	−8.5	moved up −5.5

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.

Rotterdam host Belfius Mons in the BNXT League 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.