twslam07
All-Star
I know everyone has an opinion about how to fix tanking, but I have an idea (more of a theory) on how to fix the issue.
I was too lazy to type up the entire explanation so I dropped in the key bullet points in AI and asked it to build that summary for me. This is how it summarized my idea…
NBA "Games-Back Bonus" Draft Points System
(A creative idea to fix tanking and make draft order more exciting and merit-based)
The Big Motive
Right now, bad teams sometimes lose on purpose late in the season to get better draft picks (the famous "tanking" problem). This system flips that upside down:
It rewards teams for winning when they're far behind in the standings—instead of punishing wins or rewarding losses.
The goal? Use these points to decide the draft order for the next year's NBA Draft. The team with the most points gets the #1 overall pick, then #2, and so on—but only among teams that miss the playoffs. Any team that actually makes the playoffs (top 8 in their conference) gets their normal late picks (15th–30th range).
It gives struggling teams a real reason to compete and pull off upsets, while still letting true contenders focus on winning now.
How the points work, super simple
Every time a team wins a game, they earn points equal to how many games back (GB) they are from the 8th seed (last automatic playoff spot) in their own conference on that day.
- Farther back = bigger reward for a win (because it's harder to win when you're way out of it).
- Close to or above the 8th seed = small points (or even 0 if they're ahead).
- Losses = 0 points added that day.
Half-games count (e.g., 7.5 GB = 7.5 points). Points are only from wins, and the value changes daily as standings shift.
Quick example (Sacramento Kings style)
- Jan 1: Kings are 8.5 games back from West's 8th seed. They win → +8.5 points.
- They lose the rest of January → 0 points those days.
- Feb 1: Now 14 games back after the skid. They win → +14 points.
- Total so far: 22.5 points.
If they keep racking up big-GB wins while staying out of the playoffs, they could climb high in draft points—even leapfrogging other bad teams that just lose quietly.
Why this could be awesome for the draft
- Bottom teams get rewarded for fighting and winning tough games (no more pure tanking incentive).
- A scrappy team that pulls off upsets when hopeless could jump to #1 pick.
- Playoff teams stay untouched—they earn their high seeds by succeeding, so their picks stay late.
- It adds drama: Late-season games between lottery-bound teams become must-watch because every win could mean a huge draft boost.
At season's end, rank the non-playoff teams by total points earned → that's your draft order for picks 1 through (whatever number of lottery teams there are).
The reason I call this a “theory” more than an “idea” is because I haven’t been able to validate this point scoring system against historical seasons to see how it plays out, if any weighting would make it work better, etc. I asked AI to give me the results on the 2024-25 season and it basically said it’s too hard to gather the data points to give me an answer.
Very curious to see how others think this “theory” would work? And if anyone has the skills to put this theory to the test with some real data (I certainly don’t).
I was too lazy to type up the entire explanation so I dropped in the key bullet points in AI and asked it to build that summary for me. This is how it summarized my idea…
NBA "Games-Back Bonus" Draft Points System
(A creative idea to fix tanking and make draft order more exciting and merit-based)
The Big Motive
Right now, bad teams sometimes lose on purpose late in the season to get better draft picks (the famous "tanking" problem). This system flips that upside down:
It rewards teams for winning when they're far behind in the standings—instead of punishing wins or rewarding losses.
The goal? Use these points to decide the draft order for the next year's NBA Draft. The team with the most points gets the #1 overall pick, then #2, and so on—but only among teams that miss the playoffs. Any team that actually makes the playoffs (top 8 in their conference) gets their normal late picks (15th–30th range).
It gives struggling teams a real reason to compete and pull off upsets, while still letting true contenders focus on winning now.
How the points work, super simple
Every time a team wins a game, they earn points equal to how many games back (GB) they are from the 8th seed (last automatic playoff spot) in their own conference on that day.
- Farther back = bigger reward for a win (because it's harder to win when you're way out of it).
- Close to or above the 8th seed = small points (or even 0 if they're ahead).
- Losses = 0 points added that day.
Half-games count (e.g., 7.5 GB = 7.5 points). Points are only from wins, and the value changes daily as standings shift.
Quick example (Sacramento Kings style)
- Jan 1: Kings are 8.5 games back from West's 8th seed. They win → +8.5 points.
- They lose the rest of January → 0 points those days.
- Feb 1: Now 14 games back after the skid. They win → +14 points.
- Total so far: 22.5 points.
If they keep racking up big-GB wins while staying out of the playoffs, they could climb high in draft points—even leapfrogging other bad teams that just lose quietly.
Why this could be awesome for the draft
- Bottom teams get rewarded for fighting and winning tough games (no more pure tanking incentive).
- A scrappy team that pulls off upsets when hopeless could jump to #1 pick.
- Playoff teams stay untouched—they earn their high seeds by succeeding, so their picks stay late.
- It adds drama: Late-season games between lottery-bound teams become must-watch because every win could mean a huge draft boost.
At season's end, rank the non-playoff teams by total points earned → that's your draft order for picks 1 through (whatever number of lottery teams there are).
The reason I call this a “theory” more than an “idea” is because I haven’t been able to validate this point scoring system against historical seasons to see how it plays out, if any weighting would make it work better, etc. I asked AI to give me the results on the 2024-25 season and it basically said it’s too hard to gather the data points to give me an answer.
Very curious to see how others think this “theory” would work? And if anyone has the skills to put this theory to the test with some real data (I certainly don’t).