Tal Tech vs VEF Riga Prediction & Odds

Latvia-Estonian League Saturday, October 10, 2026Sat, Oct 10 Start10:00ET

Tal TechHome · 6-3 · 6th · 5.15

7015181918

VEF RigaAway · 7-1 · 2nd · 1.12

9018212823

By quarter 1st 2nd 3rd 4th

Tal Tech 15 18 19 18

VEF Riga 18 21 28 23

FT Tallinna Tehnikaulikooli spordihooneTallinna Tehnikaulikooli spordihoone

Best tip of the game

Point spread Lost

TAL +18.5 1.34 60%

Tal Tech +18.5 on the spread edge +4.6%

Best tip of the game Point spread · Lost TAL +18.5 1.34 Tal Tech +18.5 on the spread Confidence60% model 74.9% · market 70.3% edge +4.6%

All predictions

3 picks graded · Average confidence 63%

Picks for this game

Market PickOdds Model Market Edge Confidence Result

Moneyline 2 1.13 64.8% 79.5% −14.7% 56% Won

Total points O154.5 1.39 74.4% 65.6% +8.8% 74% Won

Point spread TAL +18.5 1.34 74.9% 70.3% +4.6% 60% Lost

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

Tal Tech7080

VEF Riga9086

Total 166 actual 160

Winning margin RIG by 6 actual RIG by 20

Chance to win RIG 65% RIG won

Predicted final score

ActualPredicted

Tal Tech7080

VEF Riga9086

Total 166 Margin RIG by 6 Win RIG 65% Actual 160 · RIG won

Predicted team stats

Prediction From 5+ games with full stats per team · no bookmaker odds

Tal Tech large = predicted · small = actual, above / below the prediction VEF Riga

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

Rebounds

Other

Shooting

Tal Tech vs VEF Riga

Tal Tech VEF Riga

Last 12 and 14 games with full stats · all competitions

Season record above, per-game averages below.

Last five games

Tal Tech 3-2

Oct 7: Voluntari 80, Tal Tech 74. Lost. Odds: Voluntari 1.18, Tal Tech 4.10.
Oct 4: Viimsi 64, Tal Tech 85. Won. Odds: Viimsi 4.41, Tal Tech 1.19.
Sep 30: Tal Tech 83, Donar Groningen 70. Won. Odds: Tal Tech 2.25, Donar Groningen 1.55.
Sep 26: Tal Tech 73, Rigas Zelli 79. Lost. Odds: Tal Tech 4.20, Rigas Zelli 1.20.
Sep 23: Tal Tech 95, Fyllingen 94. Won. Odds: Tal Tech 1.20, Fyllingen 3.90.

VEF Riga 5-0

Oct 7: VEF Riga 106, Lok. Plovdiv 83. Won. Odds: VEF Riga 1.07, Lok. Plovdiv 6.50.
Oct 3: VEF Riga 82, BK Liepaja 55. Won. Odds: VEF Riga 1.04, BK Liepaja 9.56.
Sep 29: VEF Riga 90, Keila KK 60. Won. Odds: VEF Riga –, Keila KK 21.00.
Sep 26: BK Ogre 73, VEF Riga 92. Won. Odds: BK Ogre 3.97, VEF Riga 1.22.
Sep 23: VEF Riga 104, Latvijas Universitate 66. Won. Odds: VEF Riga –, Latvijas Universitate 17.00.

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
TAL moneyline	4.00	moved up 5.15
RIG moneyline	1.22	moved down 1.12
Total points	161.5	161.5
TAL spread	+8.5	moved up +12.5

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.

Latvia-Estonian League standings

Regular Season

#	Team	GP	W	L	Pct	PF	PA	+/−
1	Rigas Zelli	7	7	0	1.000	658	529	+129
2	VEF Riga	8	7	1	.875	718	571	+147
3	Valmiera Glass Via	8	6	2	.750	716	606	+110
4	Ventspils	8	6	2	.750	696	649	+47
5	Tartu Ulikool	7	5	2	.714	576	518	+58
6	Tal Tech	9	6	3	.667	671	646	+25
7	BC Kalev	7	4	3	.571	589	569	+20
8	Parnu	6	3	3	.500	463	467	−4
9	Rigas Juniori	6	3	3	.500	505	530	−25
10	BK Ogre	7	3	4	.429	607	603	+4
11	Keila KK	8	3	5	.375	575	669	−94
12	BK Liepaja	7	2	5	.286	561	550	+11
13	Viimsi	9	1	8	.111	641	774	−133
14	Latvijas Universitate	9	1	8	.111	692	827	−135
15	Keila Coolbet	8	0	8	.000	568	728	−160

Playoffs: Quarter-finals

Pct percentage of games won — the table is sorted by it. W / L wins and losses, GP games played. PF / PA points scored and allowed this season. +/− points scored minus points allowed.

Tal Tech host VEF Riga in the Latvia-Estonian League on Saturday, October 10, 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.