4 - 12 players | |
average 20 minutes | |
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Published in 2014 | |
View Global Stats | |
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View on boardgamegeek.com |
Bluffing Deduction Party Game Murder/Mystery Spies/Secret Agents | |
Partnerships Storytelling |
Deception: Murder in Hong Kong is a game of deduction and deception for 4-12 players that plays in about 20 minutes. In the game, players take on the roles of investigators attempting to solve a murder case – but there's a twist. The killer is one of the investigators! Each player's role and team are randomly assigned at the start of play and include the unique roles of Forensic Scientist, Witness, Investigator, Murderer, and Accomplice. While the Investigators attempt to deduce the truth, the murderer's team must deceive and mislead. This is a battle of wits! The Forensic Scientist has the solution but can express the clues only using special scene tiles while the investigators (and the murderer) attempt to interpret the evidence. In order to succeed, the investigators must not only deduce the truth from the clues of the Forensic Scientist, they must also see through the misdirection being injected into the equation by the Murderer and Accomplice! Find out who among you can cut through deception to find the truth and who is capable of getting away with murder! Roles Forensic Scientist x1 As the game master, the Forensic Scientist holds the solution to the crime. They are responsible for assisting the Investigators in identifying the “Key Evidence” and “Means of Murder.” When an Investigator does that successfully, the crime is solved and the Forensic Scientist and the Investigators win the game. During the game, the Forensic Scientist is NOT allowed to hint to the solution with words, gestures, or eyes. Murderer x1 When the crime takes place, the Murderer chooses 1 Clue card and 1 Means card as the solution to the crime. These will be the “Key Evidence” and “Means of Murder” respectively. The Murderer tries to hide their role and look for a scapegoat. Even if they are identified, the Murderer still wins the game if no one correctly identifies both the “Key Evidence” and the “Means of Murder”. Investigators x8 To solve the crime, the Investigators must analyze the hints given by the Forensic Scientist. As long as one of the Investigators correctly identifies both the “Key Evidence” and “Means of Murder,” the Murderer is arrested and the Investigators win the game (as does the Forensic Scientist). Bear in mind that the Murderer (and sometimes Accomplice) is among the Investigators! The innocent Investigators must make a vigorous effort to defend themselves from false accusation. Accomplice x1 The Accomplice is an optional role for games with six or more players. The Accomplice knows who the Murderer is, as well as the solution to the crime. The Accomplice and Murderer both win if the Murderer gets away with his crime. Witness x1 The Witness is an optional role when playing with six or more players.* The Witness is an Investigator who has witnessed the culprits leaving the crime scene. They have no way of knowing which is the Murderer and which is the Accomplice and they do not know how the crime was committed. If the Murderer is arrested but can identify the Witness, the Witness is considered to be killed, allowing the Murderer and the Accomplice to get away with murder and win the game.
Total Games Played: | 4 |
Average Players Per Game | 9.5 |
Badges | Name | NemePoints | Total Games | Avg. NemePoints | Wins / Losses | % Won |
---|---|---|---|---|---|---|
Dan Barrett | 33 | 4 | 8.00 |
|
75 % | |
John Kang | 30 | 4 | 8.00 |
|
75 % | |
Paige Watson | 24 | 4 | 6.00 |
|
50 % | |
Chris Halverson | 19 | 2 | 10.00 |
|
50 % | |
Chris Domes | 18 | 4 | 4.00 |
|
50 % | |
Doug Wacker | 18 | 4 | 4.00 |
|
50 % | |
Jason Adams | 18 | 4 | 4.00 |
|
50 % | |
Andy Szymas | 11 | 3 | 4.00 |
|
33 % | |
Dan Smith | 11 | 3 | 4.00 |
|
33 % | |
Tim Miller | 11 | 3 | 4.00 |
|
33 % | |
Jim Hansen | 7 | 1 | 7.00 |
|
100 % | |
Sean Ducey | 7 | 1 | 7.00 |
|
100 % | |
Taiyo S. | 3 | 1 | 3.00 |
|
0 % |
Date Played | Result | |
---|---|---|
10/3/2016 |
1st
Doug Wacker
7
1st
Jason Adams
7
1st
John Kang
7
1st
Dan Barrett
7
1st
Jim Hansen
7
1st
Chris Domes
7
1st
Sean Ducey
7
2nd
Chris Halverson
1
2nd
Paige Watson
1
|
|
9/26/2016 |
1st
Paige Watson
15
1st
John Kang
15
2nd
Dan Barrett
3
2nd
Chris Domes
3
2nd
Tim Miller
3
2nd
Doug Wacker
3
2nd
Dan Smith
3
2nd
Jason Adams
3
2nd
Andy Szymas
3
|
|
9/26/2016 | ||
8/29/2016 |
1st
Chris Halverson
18
1st
Dan Barrett
18
2nd
Paige Watson
3
2nd
Doug Wacker
3
2nd
Taiyo S.
3
2nd
Chris Domes
3
2nd
Tim Miller
3
2nd
Dan Smith
3
2nd
Jason Adams
3
2nd
Andy Szymas
3
2nd
John Kang
3
|