Where the model has them

The model has Holstein Kiel finishing around 5th this season. The headline probabilities show a 3.23% chance of winning the title, a 26.74% chance of finishing in the top four, and a 3.43% chance of relegation. Expected points are 50.6. This projection is driven by the attack and defence strength, along with the Elo ratings. The attack strength multiplier is 1.11 (league average is 1.00, higher means stronger attack), whilst the defence multiplier is 0.99 (league average is 1.00, lower means stronger defence). Attacking Elo is 1549, and defending Elo is 1530.

In attack

The attack strength multiplier of 1.11 suggests Holstein Kiel's attack is slightly above average. Key players to watch include Phil Harres, who scored 9 goals in 32 appearances last season, and Alexander Bernhardsson, who provided 9 assists in 20 games. Harres also led in shot volume with 46 shots in 32 appearances. The top scorers in the squad are Harres with 9 goals and 3 assists, David Zec with 6 goals, and Jonas Therkelsen with 4 goals and 1 assist. Despite these contributions, the model sees no proven high-volume scorer, with Harres’s 9 goals being the best last season.

In defence

The defence strength multiplier of 0.99 indicates Holstein Kiel’s defence is just about average. The defensive-actions leaders include Marko Ivezić with 4.6 tackles, interceptions, and blocks per 90 minutes, Ivan Nekić with 3.93 per 90, and new arrival Hiroki Sekine with 3.65 per 90. These numbers suggest a solid, if unspectacular, defensive unit.

What the window changed

The transfer window saw the attack multiplier move from 0.97 to 1.11, and the defence multiplier shift from 1.00 to 0.99. Key attacking arrival Guillermo Balzi, who scored 3 goals last season, is expected to bolster the attack. The notable departure was Steven Skrzybski, who scored 2 goals. On the defensive side, Hiroki Sekine arrived and is expected to contribute with his 57 defensive actions last season. Magnus Knudsen’s departure didn’t significantly impact the defence multiplier.

Weaknesses and risks

The main risk to the projection is the lack of a proven high-volume scorer. Phil Harres’s 9 goals last season are the best in the squad, but relying on him alone could be problematic. This weakness could see Holstein Kiel struggle to consistently put away chances, potentially costing them crucial points in a competitive league.

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Key players (last season)

CategoryPlayerTotalPer game1+ rate
GoalsPhil Harres90.2825%
AssistsAlexander Bernhardsson90.4540%
ShotsPhil Harres461.4475%
Tackles wonAlexander Bernhardsson311.5590%
Fouls drawnGuillermo Balzi501.9289%
Fouls committedMarko Ivezić361.3877%

Defensive-actions leaders (per 90)

PlayerTackles+Int+Blocks /90Apps
Marko Ivezić4.626
Ivan Nekić3.9318
Hiroki Sekine3.6524

Transfer impact (model)

_Model profile generated from the BetSignals season simulation. Player figures are last season's totals._