Lugano Tigers vs SAM Massagno Prediction & Odds — Oct 17

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SB League Saturday, October 17, 2026Sat, Oct 17 Start11:00ET Round 5

Lugano TigersHome · 1-6 · 8th · 2.67

7216142319

SAM MassagnoAway · 6-1 · 3rd · 1.27

10222273023

By quarter 1st 2nd 3rd 4th

Lugano Tigers 16 14 23 19

SAM Massagno 22 27 30 23

FT Istituto Elvetico · SwitzerlandIstituto Elvetico · Round 5

Best tip of the game

Point spread Won

MAS +4.5 1.27 85%

SAM Massagno +4.5 on the spread edge −3.2%

Best tip of the game Point spread · Won MAS +4.5 1.27 SAM Massagno +4.5 on the spread Confidence85% model 69.0% · market 72.2% edge −3.2%

All predictions

3 picks graded · Average confidence 72%

Picks for this game

Market PickOdds Model Market Edge Confidence Result

Moneyline 2 1.27 59.6% 60.9% −1.3% 69% Won

Total points U179.5 1.39 68.5% 66.2% +2.3% 61% Won

Point spread MAS +4.5 1.27 69.0% 72.2% −3.2% 85% 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

Lugano Tigers7283

SAM Massagno10287

Total 170 actual 174

Winning margin MAS by 4 actual MAS by 30

Chance to win MAS 60% MAS won

Predicted final score

ActualPredicted

Lugano Tigers7283

SAM Massagno10287

Total 170 Margin MAS by 4 Win MAS 60% Actual 174 · MAS won

Predicted team stats

Prediction From 19+ games with full stats per team · no bookmaker odds

Lugano Tigers large = predicted · small = actual, above / below the prediction SAM Massagno

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

Rebounds

Other

Shooting

Lugano Tigers vs SAM Massagno

Lugano Tigers SAM Massagno

Last 6 games each with full stats · all competitions

Season record above, per-game averages below.

Last five games

Lugano Tigers 1-4

Oct 10: Fribourg Olympic 116, Lugano Tigers 80. Lost. Odds: Fribourg Olympic 1.04, Lugano Tigers 5.00.
Oct 4: Lugano Tigers 70, Sdent BBC Nyon 77. Lost. Odds: Lugano Tigers 2.52, Sdent BBC Nyon 1.48.
Sep 30: Neuchatel 69, Lugano Tigers 61. Lost. Odds: Neuchatel 1.65, Lugano Tigers 2.15.
Sep 27: Lugano Tigers 94, BBC Monthey 72. Won. Odds: Lugano Tigers 1.67, BBC Monthey 2.12.
Apr 4: SAM Massagno 107, Lugano Tigers 86. Lost. No odds on record.

SAM Massagno 3-2

Oct 10: Sdent BBC Nyon 94, SAM Massagno 73. Lost. Odds: Sdent BBC Nyon 1.91, SAM Massagno 1.57.
Oct 3: SAM Massagno 104, Neuchatel 75. Won. Odds: SAM Massagno 1.26, Neuchatel 3.40.
Sep 30: SAM Massagno 90, Lausanne Basket 84. Won. Odds: SAM Massagno 2.09, Lausanne Basket 1.69.
Sep 26: Regio Basel 73, SAM Massagno 91. Won. Odds: Regio Basel 2.19, SAM Massagno 1.63.
Apr 25: SAM Massagno 86, Regio Basel 89. 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
LUG moneyline	2.37	moved up 2.67
MAS moneyline	1.36	moved down 1.27
Total points	171.5	171.5
LUG spread	+4.5	moved up +7.5

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.

SB League standings

Regular Season

#	Team	GP	W	L	Pts	PF	PA	+/−
1	Geneva Lions	7	7	0	14	660	414	+246
2	Fribourg Olympic	7	6	1	13	601	459	+142
3	SAM Massagno	7	6	1	13	642	549	+93
4	Lausanne Basket	7	5	2	12	594	536	+58
5	Sdent BBC Nyon	7	4	3	11	594	544	+50
6	Neuchatel	7	3	4	10	477	537	−60
7	BBC Monthey	7	2	5	9	557	615	−58
8	Lugano Tigers	7	1	6	8	524	619	−95
9	Regio Basel	7	1	6	8	472	620	−148
10	Zurich	7	0	7	7	412	640	−228

Playoffs: Quarter-finals

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.

Lugano Tigers host SAM Massagno in the SB League on Saturday, October 17, 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.