The former Brighton striker has been a sensation since moving to the Bundesliga, and he has assumed the mantle of the main man at Stuttgart especially since Serhou Guirassy moved to Dortmund.

This has translated into a huge number of shots, especially this season. Undav averages a massive 4.62 shots per 90 over Stuttgart’s last 30 matches, and matches that average exactly when just looking at matches this season.

Taking this season as a sample size, Undav has hit three or more shots on his last six starts, and six out of seven in total. This includes both Champions League rounds so far, at home to Sparta Praha, and away at Real Madrid. The Madrid match is particularly important as it is of a similar standard to what Stuttgart will be facing when going to Juventus on Tuesday night.

Against Madrid, Stuttgart managed to fire off 17 shots in a 1-3 defeat. Undav played 75 minutes on that night, and if Stuttgart manage to produce a fairly similar level of performance then Undav shouldn’t be such a big price for getting to three shots.

Undav’s Bundesliga shot map from 2024/25 (shown below) demonstrates that whilst the majority of Undav’s shots come from inside the box, he is not averse to a pot shot from outside either, which is ideal for a shots bet in this situation.

Indeed, the six shots that he has fired in the Champions League this season demonstrates that point as well, with four shots inside the box and two outside.

Finally, though Juventus have been very solid defensively under Thiago Motta, they haven’t shown the same level of keeping the opposition’s shots down in the Champions League as they have domestically.

Indeed, they conceded a massive 24 shots to RB Leipzig last time and even at home to PSV they conceded 13 shots. STuttgart would fancy their chances to be just as competitive as either of those teams, and if they are then they will be looking to Undav to take the chances.

Sky Bet price this same bet at 1.36, whilst Paddy Power believe it is a 1.4 shot. Bet365 are way bigger than their rivals here, and it looks as though the price may be too big when assessing the data.