Where the model has them
The model projects Arsenal to finish around 1st place. The title probability is 61.85%, top four is 98.56%, and relegation is a non-starter at 0.00%. The expected points tally is 81.7. This projection is driven by a formidable attack strength multiplier of 1.37 (league average is 1.00) and an exceptionally strong defence multiplier of 0.51 (lower means fewer goals conceded). The attacking Elo stands at 1732, whilst the defensive Elo is an impressive 1852.
In attack
Arsenal's attack is a powerhouse, with a strength multiplier of 1.37. Christos Tzolis is the linchpin, having scored 19 goals and provided 28 assists in 47 appearances last season. His shot volume of 116 is a testament to his influence. Alongside him, Viktor Gyökeres chipped in with 18 goals and 2 assists, and Bukayo Saka added 10 goals and 7 assists. This attacking prowess is the bedrock of the model's high projected finish.
In defence
Defensively, Arsenal is a fortress with a multiplier of 0.51. Jurriën Timber leads the way with 80 tackles won in 38 appearances. The defensive-actions leaders are Piero Hincapié with 4.12 per 90, Louie Copley with 3.96 per 90, and Cristhian Mosquera with 3.82 per 90. This defensive solidity underpins the model's confidence in Arsenal's ability to secure a top finish.
What the window changed
The transfer window saw the attack multiplier rise from 1.31 to 1.37, largely thanks to the arrival of Christos Tzolis, who scored 19 goals last season. Leandro Trossard's departure (7 goals) was offset by this gain. Defensively, the multiplier improved from 0.53 to 0.51 with the addition of Bruno Guimarães, who contributed 98 defensive actions. Leandro Trossard's exit also helped tighten the defence. These changes have nudged the model's projections upwards.
Weaknesses and risks
The model has not flagged any specific weaknesses for Arsenal. The balance of a potent attack and a solid defence, coupled with the positive impact of the transfer window, means there are no glaring risks to the projection. The main risk would be underperformance from key players like Tzolis or a lapse in defensive concentration, but the model currently sees none of these as likely based on the numbers.
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Key players (last season)
| Category | Player | Total | Per game | 1+ rate |
|---|---|---|---|---|
| Goals | Christos Tzolis | 19 | 0.4 | 38% |
| Assists | Christos Tzolis | 28 | 0.6 | 38% |
| Shots | Christos Tzolis | 116 | 2.47 | 94% |
| Tackles won | Jurriën Timber | 80 | 2.11 | 87% |
| Fouls drawn | Max Dowman | 12 | 1.5 | 88% |
| Fouls committed | Jurriën Timber | 45 | 1.18 | 82% |
Defensive-actions leaders (per 90)
| Player | Tackles+Int+Blocks /90 | Apps |
|---|---|---|
| Piero Hincapié | 4.12 | 36 |
| Louie Copley | 3.96 | 8 |
| Cristhian Mosquera | 3.82 | 29 |
Transfer impact (model)
- Attack: in Christos Tzolis (19g), out Leandro Trossard (7g)
- Defence: in Bruno Guimarães (98 def actions), out Leandro Trossard
_Model profile generated from the BetSignals season simulation. Player figures are last season's totals._