Antwerp Giants vs Limburg Prediction & Odds

BNXT League Saturday, October 31, 2026Sat, Oct 31 Start15:00ET

Antwerp GiantsHome · 5-0 · 1st · 1.06

8817222425

LimburgAway · 3-2 · 6th · 7.10

8019242611

By quarter 1st 2nd 3rd 4th

Antwerp Giants 17 22 24 25

Limburg 19 24 26 11

FT Lotto ArenaLotto Arena

Best tip of the game

Point spread Won

LIM +21.5 1.32 66%

Limburg +21.5 on the spread edge −12.8%

Best tip of the game Point spread · Won LIM +21.5 1.32 Limburg +21.5 on the spread Confidence66% model 57.7% · market 70.5% edge −12.8%

All predictions

3 picks graded · Average confidence 79%

Picks for this game

Market PickOdds Model Market Edge Confidence Result

Moneyline 1 1.06 81.8% 87.5% −5.7% 85% Won

Total points O174.5 1.42 74.0% 65.4% +8.6% 85% Lost

Point spread LIM +21.5 1.32 57.7% 70.5% −12.8% 66% 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

Antwerp Giants88100

Limburg8086

Total 186 actual 168

Winning margin ANT by 14 actual ANT by 8

Chance to win ANT 82% ANT won

Predicted final score

ActualPredicted

Antwerp Giants88100

Limburg8086

Total 186 Margin ANT by 14 Win ANT 82% Actual 168 · ANT won

Predicted team stats

Prediction From 6+ games with full stats per team · no bookmaker odds

Antwerp Giants large = predicted · small = actual, above / below the prediction Limburg

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

Rebounds

Other

Shooting

Antwerp Giants vs Limburg

Antwerp Giants Limburg

Last 7 and 28 games with full stats · all competitions

Season record above, per-game averages below.

Last five games

Antwerp Giants 5-0

Oct 24: Antwerp Giants 109, Mechelen 75. Won. Odds: Antwerp Giants 1.02, Mechelen 10.00.
Oct 21: AEK Athens 76, Antwerp Giants 103. Won. Odds: AEK Athens 1.36, Antwerp Giants 2.75.
Oct 17: Den Bosch 86, Antwerp Giants 125. Won. Odds: Den Bosch 3.80, Antwerp Giants 1.11.
Oct 10: Antwerp Giants 113, Kortrijk 106. After overtime. Won. Odds: Antwerp Giants 1.06, Kortrijk 7.30.
Oct 7: Antwerp Giants 99, Szombathely 93. Won. Odds: Antwerp Giants 1.57, Szombathely 2.30.

Limburg 4-1

Oct 23: Kortrijk 83, Limburg 88. Won. Odds: Kortrijk 1.42, Limburg 2.60.
Oct 16: Limburg 87, Rotterdam 80. Won. Odds: Limburg –, Rotterdam 11.00.
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.

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
ANT moneyline	1.06	1.06
LIM moneyline	6.70	moved up 7.10
Total points	178.5	moved up 180.5
ANT spread	−14.5	−14.5

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.

Antwerp Giants host Limburg in the BNXT League on Saturday, October 31, 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.