Torino vs Hellas Verona - Predictions, Stats & Odds
Serie A Statistics, AI predictions, (Expected) Lineups and Insights for Gameweek 32
Goals
Game Review
Torino secured a vital 2-1 victory over Hellas Verona in their Serie A clash on Saturday, a result that could prove pivotal in their quest for a strong finish to the season. The match, held as part of Gameweek 32, saw Torino take an early lead and maintain their advantage despite a spirited fightback from Verona. The game started brightly for Torino, with Giovanni Simeone (GAP -0.5%) opening the scoring in the 6th minute. His early goal set the tone for a first half where Torino looked the more threatening side. However, Hellas Verona responded in the 38th minute through Kieran Bowie, leveling the score and ensuring the teams went into the break on equal terms. The second half saw Torino regain their lead quickly, with Cesare Casadei (GAP -1.0%) finding the back of the net in the 50th minute. This goal proved decisive as Torino managed to hold onto their lead despite Verona's efforts to find another equalizer. In terms of tactical adjustments, Torino's manager made five substitutions, bringing in Sandro Kulenović, Guillermo Maripán, Matteo Prati, Luca Marianucci, and Cristiano Biraghi. These changes were likely aimed at maintaining the team's energy levels and defensive solidity as the game progressed. Hellas Verona also made five changes, introducing Domagoj Bradarić, Gift Orban, Daniel Mosquera, Amin Sarr, and Nicolás Valentini, in an attempt to inject fresh legs and creativity into their lineup. The Game Advantage Percentage (GAP) statistics highlighted some key performances, with Ardian Ismajli (GAP +1.8%) standing out for Torino, while Antoine Bernède (GAP -3.9%) had a challenging outing for Verona. This victory is crucial for Torino as they look to climb the Serie A table. The win could provide them with the momentum needed to finish the season strongly. For Hellas Verona, the defeat is a setback, but their performance showed resilience and the ability to compete against tough opposition. Post-match reactions from both camps emphasized the importance of the result, with Torino's players expressing satisfaction with their performance and the three points gained. Meanwhile, Verona's squad will need to regroup and focus on their upcoming fixtures to bounce back from this narrow defeat.
Lineups
Torino
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
| MID | |
| MID | |
| FWD | |
| FWD |
Substitutes
| 67' | Luca Marianuccifor Saúl Coco |
| 75' | Sandro Kulenovićfor Che Adams |
| 75' | Matteo Pratifor Gvidas Gineitis |
| 84' | Cristiano Biraghifor Rafa Obrador |
| 84' | Guillermo Maripánfor Enzo Ebosse |
Hellas Verona
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
| MID | |
| MID | |
| MID | |
| FWD |
Substitutes
| 60' | Nicolás Valentinifor Andrias Edmundsson |
| 60' | Gift Orbanfor Abdoulrahmane Harroui |
| 68' | Domagoj Bradarićfor Antoine Bernède |
| 81' | Daniel Mosquerafor Martin Frese |
| 81' | Amin Sarrfor Rafik Belghali |
League Table after the game
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 12 | Torino | 32 | 11 | 6 | 15 | 37 | 53 | -16 | 39 | L W L W W |
| 19 | Hellas Verona | 32 | 3 | 9 | 20 | 23 | 55 | -32 | 18 | W L L L L |
Last Games
Head-to-Head
Serie A
Gameweek 32
What is GAP?
What is Plus Minus Goals (G±)?
Plus Minus Goals (G±) is the average goal difference per game while the player was on the pitch. A value above 0 indicates that the team rather wins, a value below 0 means his team concedes more goals than they score when the player is on the pitch. As an example, if the player's team is winning 3:1 the goal difference is +2, if the player's team is loosing 0:1, the goal difference is -1. It is a pure metric which is barely adjusted for circumstances to purely show the goal difference.
What is GAP?
GAP (Game Advantage Percentage) shows the percentage gap between a player and the average league player. It answers the question: How much does a player improve or worsen a team's performance? It is based on high level game data with a focus on the impact on the goal difference (G±) from the last 50 games of a player. Besides that, GAP goes further and considers game context by involving data from the player and all other players who are at the same time on the pitch, no matter if teammates or opponents. Football GAP - the individual metric for team players.