A Deadly Likeness / Murder in Yorkshire Bd.3 (ePub)
The brilliantly gripping 2023 Yorkshire crime thriller
(Sprache: Englisch)
CAN YOU TRUST A KILLER TO CATCH HIS OWN COPYCAT?
The utterly gripping new Murder in Yorkshire crime thriller by the brilliant Lesley McEvoy - for fans of Happy Valley.
___________________
...
The utterly gripping new Murder in Yorkshire crime thriller by the brilliant Lesley McEvoy - for fans of Happy Valley.
___________________
...
sofort als Download lieferbar
eBook (ePub)
5.99 €
2 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „A Deadly Likeness / Murder in Yorkshire Bd.3 (ePub)“
CAN YOU TRUST A KILLER TO CATCH HIS OWN COPYCAT?
The utterly gripping new Murder in Yorkshire crime thriller by the brilliant Lesley McEvoy - for fans of Happy Valley.
___________________
A serial killer is at large in Yorkshire, cutting off one victim's body part to leave with the next.
The police turn to forensic psychologist and profiler Dr Jo McCready, who knows the killer's M.O. all too well. Twenty-five years ago, notorious Yorkshire serial killer Jacob Malecki murdered fifteen people using the same method, and Jo provided the profile that led to his capture.
But with Malecki locked up in prison, who is the copycat killer? As the bodies pile up and the police get desperate, Malecki offers to help with the case. After all, who better to find a copycat than the original?
Now Jo must play a dangerous game of cat and mouse with both killers. Can she use one to catch the other before more people die?
Praise for Lesley McEvoy's Murder in Yorkshire crime series:
'McEvoy really knows her stuff.' - IAN RANKIN
'This book really got its hooks into me. Highly original and whipsmart on detail, I devoured it in one sitting' - PETER JAMES
'Such a clever, twisty crime thriller' - SAIMA MIR
'There are plenty of twists in this gripping read' - YORKSHIRE TIMES
The utterly gripping new Murder in Yorkshire crime thriller by the brilliant Lesley McEvoy - for fans of Happy Valley.
___________________
A serial killer is at large in Yorkshire, cutting off one victim's body part to leave with the next.
The police turn to forensic psychologist and profiler Dr Jo McCready, who knows the killer's M.O. all too well. Twenty-five years ago, notorious Yorkshire serial killer Jacob Malecki murdered fifteen people using the same method, and Jo provided the profile that led to his capture.
But with Malecki locked up in prison, who is the copycat killer? As the bodies pile up and the police get desperate, Malecki offers to help with the case. After all, who better to find a copycat than the original?
Now Jo must play a dangerous game of cat and mouse with both killers. Can she use one to catch the other before more people die?
Praise for Lesley McEvoy's Murder in Yorkshire crime series:
'McEvoy really knows her stuff.' - IAN RANKIN
'This book really got its hooks into me. Highly original and whipsmart on detail, I devoured it in one sitting' - PETER JAMES
'Such a clever, twisty crime thriller' - SAIMA MIR
'There are plenty of twists in this gripping read' - YORKSHIRE TIMES
Autoren-Porträt von Lesley McEvoy
Lesley McEvoy
Bibliographische Angaben
- Autor: Lesley McEvoy
- 2023, 400 Seiten, Englisch
- Verlag: Bonnier Books UK
- ISBN-10: 1838777644
- ISBN-13: 9781838777647
- Erscheinungsdatum: 22.06.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 0.85 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "A Deadly Likeness / Murder in Yorkshire Bd.3"
0 Gebrauchte Artikel zu „A Deadly Likeness / Murder in Yorkshire Bd.3“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "A Deadly Likeness / Murder in Yorkshire Bd.3".
Kommentar verfassen