Match details. 1. Liga, Regular Season - 14. Kick-off is Sun 8 Nov, 18:00 Lagos time. It is played at Doosan Aréna, Plzeň.
What's at stake. Viktoria Plzen are 10th on 19 points after 13 games, 1 point behind Zbrojovka Brno, 4 points clear of Hradec Králové. A win would take them above Zbrojovka Brno. Sparta Prague are 4th on 23 points after 13 games, 1 point behind Sigma Olomouc, level on points with Slovan Liberec. A win would take them above Sigma Olomouc.
Form. Viktoria Plzen have won five, drawn none and lost five of their last ten, 1.5 points a game. Their last five, newest first: W W W L L. Sparta Prague have won four, drawn three and lost three of their last ten, 1.5 points a game. Their last five, newest first: L D L W L.
The numbers. Viktoria Plzen score 2.1 and concede 1.4 a game over their last ten, with three clean sheets. Viktoria Plzen average 16.5 shots (5.0 on target), 4.8 corners and 2.1 cards a game, with 46% of the ball. Sparta Prague score 1.4 and concede 0.4 a game in their last five away, with three clean sheets and three games without a goal. Sparta Prague average 18.8 shots (6.5 on target), 7.0 corners and 2.4 cards a game, with 61% of the ball.
Head to head. In the last ten meetings Viktoria Plzen have won four, drawn three and lost three. Four of the ten went over 2.5 goals and both teams scored in four. In the last four, Viktoria Plzen won one, two were drawn and Sparta Prague won one. The last time they met, on 12 May 2026, it finished Viktoria Plzen 0-0 Sparta Prague: Viktoria Plzen had 19 shots to 6, 50% of the ball, two yellow cards.
Where it pulls both ways. On goals, their goals for and against point to a tight game; their records put over 2.5 goals at 61%; six of the last ten meetings went under 2.5.
The read. No side to back. Nothing separates them clearly enough to back a side.
The bets. No bet on this one: too close to call. Predicted score: Viktoria Plzen 1-1 Sparta Prague (13% chance).
Every score's chance from both teams' checked games, never cut or rescaled. The lit square is the likeliest score that fits the read (the Model's table).