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First-degree murder charge laid in IPV incident: WPS
Daniel Nathaniel Assing, 29, faces first-degree murder charges after police linked stunt driving stop to intimate partner violence resulting in a woman's death, Windsor police said.
- On Nov. 12, 2025, Windsor Police Service charged a man with first-degree murder after a stunt driving stop just after 3 a.m. near Chatham Street East and Goyeau Avenue led to a Windsor residence where a woman was found and pronounced deceased.
- During the arrest, Windsor Police officers noticed dried blood on the driver, prompting a residence follow-up that initiated the homicide investigation.
- At the 1100 block of Langlois Avenue, officers found the woman showing no vital signs and suffering multiple stab wounds, police said.
- The suspect was arraigned Wednesday afternoon and identified by police as Daniel Nathaniel Assing, but charges have not been proven in court; investigators asked anyone with information to contact them.
- Police said the killing marks Windsor's fourth homicide this year and highlights the intimate partner violence epidemic affecting over 100 Ontario municipalities, extending condolences to the victim's family.
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Winnipeg Free Press+20 Reposted by 20 other sources
Man charged with murder in case of intimate partner violence: Windsor, Ont., police
Breaking News, Sports, Manitoba, Canada
·Winnipeg, Canada
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Man charged with murder in case of intimate partner violence: Windsor, Ont., police – 105.9 The Region
Police in Windsor, Ont., say a man has been charged with first-degree murder in a case of intimate partner violence. They say the 29-year-old suspect was arrested for stunt driving in the Chatham Street East and Goyeau Street area shortly after 3 a.m. on Wednesday, and officers noticed a large amount of dried blood on his face and body. Further investigation led police to a home on Langlois Avenue, where officers found a woman with no vital sign…
Coverage Details
Total News Sources29
Leaning Left20Leaning Right0Center2Last UpdatedBias Distribution91% Left
Bias Distribution
- 91% of the sources lean Left
91% Left
L 91%
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