Where the model has them
The model projects Gent to finish around 9th in the Jupiler Pro League this season, with a 0.07% chance of lifting the title, an 11.15% shot at the top four, and a 5.40% risk of relegation. This outlook is driven by their attack and defence strength, reflected in their multipliers and Elo ratings. The attack strength multiplier is 1.03, slightly above the league average of 1.00, whilst the defence multiplier is 1.05, a bit higher than the average of 1.00 but remember, lower is better in defence. Their attacking Elo is 1458 and their defending Elo is 1530, both figures that slot them into mid-table expectations.
In attack
Gent's attack, whilst not weak, lacks a standout high-volume scorer. Their attack strength multiplier of 1.03 shows they're just a smidgen above average. Max Dean led the line last season with 7 goals in 23 appearances, accounting for 26% of their games. He also had the highest shot volume with 38 attempts. Mathias Delorge chipped in with 3 assists in 19 games. The top scorer in the squad last season was Wilfried Kanga with 11 goals and 4 assists, but that's not exactly tearing the league apart. Gent will need more from their forwards if they're to push higher up the table.
In defence
Defensively, Gent are a bit stronger, reflected in their 1.05 defence multiplier. Tibe De Vlieger won 60 tackles in 24 appearances, leading the team in that department. When you look at defensive actions per 90 minutes, De Vlieger tops the list with 5.68, followed by Siebe Van Der Heyden at 4.37 and Aimé Omgba at 3.5. These numbers suggest a solid, if unspectacular, back line. It's not the defence that'll let them down; it's more about what they can put the opposition keeper to bed with at the other end.
What the window changed
The transfer window saw some tweaks that nudged the model's numbers. The attack multiplier moved from 0.96 to 1.03, and the defence from 1.01 to 1.05. Christian Burgess came in and will be expected to contribute on both ends of the pitch, he scored 2 goals and had 140 defensive actions last season. The notable departures were Omri Gandelman, who bagged 9 goals last term, and Michał Skóraś in defence. These moves have slightly strengthened both attack and defence, but don't expect a radical transformation.
Weaknesses and risks
The main risk to the model's projection is Gent's lack of a proven high-volume scorer. Last season's top man, Wilfried Kanga, managed 11 goals. That's decent, but not enough to carry a team pushing for the top half. If Gent can't find a clinical edge in front of goal, they'll likely hover around the mid-table, as the model predicts. Their defence is solid enough to keep them out of trouble, but it won't propel them into the top four either.
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Key players (last season)
| Category | Player | Total | Per game | 1+ rate |
|---|---|---|---|---|
| Goals | Max Dean | 7 | 0.3 | 26% |
| Assists | Mathias Delorge | 3 | 0.16 | 16% |
| Shots | Max Dean | 38 | 1.65 | 78% |
| Tackles won | Tibe De Vlieger | 60 | 2.5 | 83% |
| Fouls drawn | Wilfried Kanga | 49 | 1.4 | 74% |
| Fouls committed | Siebe Van Der Heyden | 51 | 1.42 | 75% |
Defensive-actions leaders (per 90)
| Player | Tackles+Int+Blocks /90 | Apps |
|---|---|---|
| Tibe De Vlieger | 5.68 | 24 |
| Siebe Van Der Heyden | 4.37 | 36 |
| Aimé Omgba | 3.5 | 19 |
Transfer impact (model)
- Attack: in Christian Burgess (2g), out Omri Gandelman (9g)
- Defence: in Christian Burgess (140 def actions), out Michał Skóraś
_Model profile generated from the BetSignals season simulation. Player figures are last season's totals._