1972–73 Detroit Pistons season
Following are the results of the 1972–73 season of the Detroit Pistons, the franchise of the National Basketball Association based in Detroit, Michigan. The 1972–73 NBA season was the Pistons' 25th season in the NBA and 16th season in the city of Detroit.[1]
1972–73 Detroit Pistons season | |
---|---|
Head coach | Earl Lloyd Ray Scott |
Owner(s) | Fred Zollner |
Arena | Cobo Center |
Results | |
Record | 40–42 (.488) |
Place | Division: 3rd (Midwest) Conference: 5th (Western) |
Playoff finish | Did Not Qualify |
Stats @ Basketball-Reference.com | |
Draft picks
Roster
Detroit Pistons roster | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Players | Coaches | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Regular season
Season standings
Midwest Division | W | L | PCT | GB | Home | Road | Neutral | Div |
---|---|---|---|---|---|---|---|---|
y-Milwaukee Bucks | 60 | 22 | .732 | – | 33–5 | 25–15 | 2–2 | 15–5 |
x-Chicago Bulls | 51 | 31 | .622 | 9 | 29–12 | 20–19 | 2–0 | 10–10 |
Detroit Pistons | 40 | 42 | .488 | 20 | 26–15 | 13–25 | 1–2 | 9–11 |
Kansas City–Omaha Kings | 36 | 46 | .439 | 24 | 24–17 | 12–29 | – | 6–14 |
# | Western Conference | |||
---|---|---|---|---|
Team | W | L | PCT | |
1 | z-Milwaukee Bucks | 60 | 22 | .732 |
2 | y-Los Angeles Lakers | 60 | 22 | .732 |
3 | x-Chicago Bulls | 51 | 31 | .622 |
4 | x-Golden State Warriors | 47 | 35 | .573 |
5 | Detroit Pistons | 40 | 42 | .488 |
6 | Phoenix Suns | 38 | 44 | .463 |
7 | Kansas City–Omaha Kings | 36 | 46 | .439 |
8 | Seattle SuperSonics | 26 | 56 | .317 |
9 | Portland Trail Blazers | 21 | 61 | .256 |
- z, y – division champions
- x – clinched playoff spot
Record vs. opponents
1972–73 NBA Records | |||||||||||||||||
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Team | ATL | BAL | BOS | BUF | CHI | CLE | DET | GSW | HOU | KCO | LAL | MIL | NYK | PHI | PHO | POR | SEA |
Atlanta | — | 3–4 | 1–5 | 5–1 | 2–2 | 3–4 | 2–2 | 1–3 | 4–4 | 2–2 | 3–1 | 1–3 | 3–3 | 6–0 | 3–1 | 4–0 | 3–1 |
Baltimore | 4–3 | — | 1–5 | 5–1 | 0–4 | 8–0 | 2–2 | 3–1 | 5–2 | 3–1 | 1–3 | 2–2 | 3–3 | 5–1 | 2–2 | 4–0 | 4–0 |
Boston | 5–1 | 5–1 | — | 7–0 | 3–1 | 5–1 | 3–1 | 3–1 | 5–1 | 3–1 | 4–0 | 2–2 | 4–4 | 7–0 | 4–0 | 4–0 | 4–0 |
Buffalo | 1–5 | 1–5 | 0–7 | — | 2–2 | 1–5 | 1–3 | 0–4 | 1–5 | 1–3 | 0–4 | 0–4 | 1–6 | 7–1 | 1–3 | 2–2 | 2–2 |
Chicago | 2–2 | 4–0 | 1–3 | 2–2 | — | 3–1 | 3–4 | 3–3 | 4–0 | 5–2 | 1–5 | 2–4 | 3–1 | 4–0 | 4–2 | 5–1 | 5–1 |
Cleveland | 4–3 | 0–8 | 1–5 | 5–1 | 1–3 | — | 1–3 | 1–3 | 4–3 | 2–2 | 1–3 | 1–3 | 0–6 | 6–0 | 1–3 | 1–3 | 3–1 |
Detroit | 2–2 | 2–2 | 1–3 | 3–1 | 4–3 | 3–1 | — | 2–4 | 1–3 | 3–3 | 1–5 | 2–5 | 1–3 | 3–1 | 4–2 | 6–0 | 2–4 |
Golden State | 3–1 | 1–3 | 1–3 | 4–0 | 3–3 | 3–1 | 4–2 | — | 3–1 | 4–2 | 3–4 | 1–5 | 2–2 | 4–0 | 2–4 | 5–1 | 4–3 |
Houston | 4–4 | 2–5 | 1–5 | 5–1 | 0–4 | 3–4 | 3–1 | 1–3 | — | 0–4 | 1–3 | 1–3 | 1–5 | 5–1 | 2–2 | 2–2 | 2–2 |
Kansas City-Omaha | 2–2 | 1–3 | 1–3 | 3–1 | 2–5 | 2–2 | 3–3 | 2–4 | 4–0 | — | 1–5 | 1–6 | 0–4 | 3–1 | 3–3 | 4–2 | 4–2 |
Los Angeles | 1–3 | 3–1 | 0–4 | 4–0 | 5–1 | 3–1 | 5–1 | 4–3 | 3–1 | 5–1 | — | 3–3 | 2–2 | 4–0 | 6–1 | 6–0 | 6–0 |
Milwaukee | 3–1 | 2–2 | 2–2 | 4–0 | 4–2 | 3–1 | 5–2 | 5–1 | 3–1 | 6–1 | 3–3 | — | 2–2 | 3–1 | 5–1 | 5–1 | 5–1 |
New York | 3–3 | 3–3 | 4–4 | 6–1 | 1–3 | 6–0 | 3–1 | 2–2 | 5–1 | 4–0 | 2–2 | 2–2 | — | 6–1 | 3–1 | 3–1 | 4–0 |
Philadelphia | 0–6 | 1–5 | 0–7 | 1–7 | 0–4 | 0–6 | 1–3 | 0–4 | 1–5 | 1–3 | 0–4 | 1–3 | 1–6 | — | 0–4 | 1–3 | 1–3 |
Phoenix | 1–3 | 2–2 | 0–4 | 3–1 | 2–4 | 3–1 | 2–4 | 4–2 | 2–2 | 3–3 | 1–6 | 1–5 | 1–3 | 4–0 | — | 5–2 | 4–2 |
Portland | 0–4 | 0–4 | 0–4 | 2–2 | 1–5 | 3–1 | 0–6 | 1–5 | 2–2 | 2–4 | 0–6 | 1–5 | 1–3 | 3–1 | 2–5 | — | 3–4 |
Seattle | 1–3 | 0–4 | 0–4 | 2–2 | 1–5 | 1–3 | 4–2 | 3–4 | 2–2 | 2–4 | 0–6 | 1–5 | 0–4 | 3–1 | 2–4 | 4–3 | — |
gollark: I am in 3 servers doing this. It is literally the funniest possible joke.
gollark: The obvious choice was counties or something, for which there was a convenient list on Wikipedia, which did *not* work at all.
gollark: That would require actual work to determine what "regions" are likely to have been mentioned lots in the training data.
gollark: Probably cities with distinct architecture and buildings work better.
gollark: I briefly tried a CLIP geolocation thing but couldn't actually get it to work. I think random English countryside is just really undifferentiated.
References
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