[OC] The main awards have been debated to death, so let’s award some additional players (and groups) for their performances in Part 2 of the 2026 Alt NBA Awards!
This is a continuation of a post from yesterday. I’ve split the awards this year into two posts, as it’s gotten unwieldy after incorporating some people’s award suggestions year-over-year.
Now presenting your candidates for the only awards that matter, the 2026 Alternative NBA Awards!
*For the awards with an asterisk, there were no stat-trackers that I found, so I had to scrape them myself. Here’s the GitHub link for that (it’s a mix of Python & R)!
most pairs of free throws missed by a visiting player in the second half (credit to livejamie for the idea)
team that shoots the most technical/flagrant FTAs (credit to Drummallumin for the idea)
| Team | Technical FTA | Flagrant FTA | Tech + Flagrant FTA |
|---|---|---|---|
| DET | 48 | 21 | 69 |
| MEM | 40 | 27 | 67 |
| LAL | 49 | 14 | 63 |
| NYK | 29 | 33 | 62 |
| DEN | 44 | 17 | 61 |
| OKC | 34 | 27 | 61 |
| ORL | 51 | 10 | 61 |
most blocked dunks as the blocking player
most blocked dunks as the dunking player (credit to Legdrop_soup for the idea and asw7412 for the sponsor)
highest percent of blocks that stayed inbounds & recovered by blocker’s team, minimum 0.7 blocks per game (credit to gibberisle for the idea)
| Player | Blocks | Blocks Recovered By Own Team | % Blocks Recovered by Own Team |
|---|---|---|---|
| Clint Capela, HOU | 60 | 43 | 71.67% |
| Peyton Watson, DEN | 61 | 39 | 63.93% |
| Kevin Durant, HOU | 71 | 45 | 63.38% |
| Goga Bitadze, ORL | 61 | 38 | 62.30% |
| Ryan Kalkbrenner, CHA | 101 | 62 | 61.39% |
most 3-pt shooting fouls committed (credit to watchingsongsDL, kingcobweb & An-Indian-In-The-NBA for the idea, and sunnysideoutside for the name)
most shots blocked as the blocker where the blockee is at least 5 inches taller
most game winning points (defined as the first points that eclipsed the losing team’s total) (credit to Necessary_Career_253 for the idea & Clownp3nis for the presenter)
| Player | Gamewinning 3s | Gamewinning 2s | Gamewinning FTs | Gamewinning PTS |
|---|---|---|---|---|
| Anthony Edwards, MIN | 7 | 7 | 4 | 39 |
| Shai Gilgeous-Alexander, OKC | 7 | 5 | 6 | 37 |
| Donovan Mitchell, CLE | 4 | 8 | 5 | 33 |
| Desmond Bane, ORL | 4 | 6 | 6 | 30 |
| Jalen Johnson, ATL | 4 | 7 | 1 | 27 |
most charges committed (credit to Kdog122025 for the idea)
most goaltends committed (credit to Kdog122025 for the idea)
most kicked ball violations
most traveling calls
most illegal defense/defensive 3-second calls (credit to PsychoM & MrBuckBuck for the idea, and asetniop for the name)
team with the most 24-second shotclock, 8-second backcourt and 5-second inbound violations (credit to Necessary_Career_253 for the idea)
| Team | shot_clock | inbound | halfcourt | tot_violations |
|---|---|---|---|---|
| Houston Rockets | 72 | 4 | 5 | 81 |
| Charlotte Hornets | 77 | 2 | 1 | 80 |
| Detroit Pistons | 75 | 2 | 2 | 79 |
| Phoenix Suns | 77 | 0 | 1 | 78 |
| Boston | 64 | 5 | 2 | 71 |
teams with lowest timeout utilization (credit to xfinityhomeboy, Ill_Ad3517 & s-sea (who also came up with the name))
most comeback wins where the opposing team had a lead of at least 15 points at some point in the game
most losses when having a lead of at least 15 points at some point in the game
most technicals plus ejections for non-players (credit to livejamie for the idea)
| coach | ejections | technicals | techs_plus_eject |
|---|---|---|---|
| Ime Udoka, HOU | 2 | 12 | 14 |
| John-Blair Bickerstaff, DET | 0 | 11 | 11 |
| Kenny Atkinson, CLE | 2 | 9 | 11 |
| Chris Finch, MIN | 1 | 9 | 10 |
| Rick Carlisle, IND | 1 | 8 | 9 |
Most prolific alley-oop duo (credit to lactardenthusiast for the idea)
best average percentile in jump balls participated & jump ball win percent, minimum 5 jump balls (credit to livejamie for the idea)
| player | Jump Balls | Win % | Jump Balls Percentile | Win Percent Percentile | Average Percentile |
|---|---|---|---|---|---|
| Victor Wembanyama, SAS | 72 | 88.89% | 93.33% | 97.95% | 95.64% |
| Wendell Carter Jr., ORL | 102 | 67.65% | 100.00% | 86.15% | 93.08% |
| Mark Williams, PHO | 67 | 76.12% | 92.31% | 92.31% | 92.31% |
| Deandre Ayton, LAL | 84 | 67.86% | 95.90% | 86.67% | 91.28% |
| Nic Claxton, BKN | 86 | 62.79% | 97.95% | 80.51% | 89.23% |
biggest PPG increase from road to home, min 50% of games played and 10 PPG (credit to livejamie and psychoM for the idea)
| Player | GP Away | PPG Away | GP Home | PPG Home | Diff |
|---|---|---|---|---|---|
| Dillon Brooks, PHO | 29 | 16.90 | 27 | 23.74 | 6.84 |
| Kawhi Leonard, LAC | 31 | 25.10 | 34 | 30.44 | 5.34 |
| Brandon Ingram, TOR | 39 | 19.59 | 38 | 23.45 | 3.86 |
| Ace Bailey, UTA | 35 | 11.83 | 37 | 15.65 | 3.82 |
| Malik Monk, SAC | 30 | 10.57 | 32 | 14.22 | 3.65 |
Alternatively: biggest game score increase from road to home, min 50% of games played
| Player | GP Away | Game Score Away | GP Home | Game Score Home | Diff |
|---|---|---|---|---|---|
| Dillon Brooks, PHO | 29 | 8.81 | 27 | 14.73 | 5.93 |
| Jalen Suggs, ORL | 25 | 8.90 | 32 | 13.65 | 4.75 |
| Lauri Markkanen, UTA | 23 | 18.11 | 19 | 22.68 | 4.57 |
| Ace Bailey, UTA | 35 | 6.80 | 37 | 11.19 | 4.39 |
| Cedric Coward, MEM | 29 | 8.42 | 33 | 12.80 | 4.37 |
biggest PPG decrease from road to home, min 50% of games played and 10 PPG (credit to livejamie and psychoM for the idea)
| Player | GP Away | PPG Away | GP Home | PPG Home | Diff |
|---|---|---|---|---|---|
| Ivica Zubac, LAC/IND | 27 | 15.93 | 21 | 11.76 | -4.16 |
| Tre Jones, CHI | 31 | 15.90 | 34 | 12.38 | -3.52 |
| Jarrett Allen, CLE | 31 | 16.90 | 25 | 13.44 | -3.46 |
| Jamal Murray, DEN | 38 | 27.05 | 37 | 23.70 | -3.35 |
| Kon Knueppel, CHA | 41 | 20.15 | 40 | 16.80 | -3.35 |
Alternatively: biggest game score decrease from road to home, min 50% of games played
| Player | GP Away | Game Score Away | GP Home | Game Score Home | Diff |
|---|---|---|---|---|---|
| Immanuel Quickley, TOR | 34 | 16.57 | 36 | 11.84 | -4.73 |
| Kyle Anderson, UTA/MEM/MIN | 25 | 8.28 | 18 | 4.89 | -3.39 |
| Ivica Zubac, LAC/IND | 27 | 14.86 | 21 | 11.59 | -3.28 |
| Aaron Wiggins, OKC | 32 | 8.37 | 33 | 5.17 | -3.19 |
| Devin Vassell, SAS | 35 | 12.08 | 33 | 8.94 | -3.13 |
biggest PPG increase from playing against teams below 45% win percentage to playing against teams above 55% win percentage, min 50% of games played and 10 PPG
| Player | GP < 45% Win | PPG < 45% Win | GP > 55% Win | PPG > 55% Win | Diff |
|---|---|---|---|---|---|
| Stephen Curry, GSW | 14 | 24.21 | 14 | 29.64 | 5.43 |
| Jusuf Nurkic, UTA | 6 | 8.33 | 23 | 12.39 | 4.06 |
| Nickeil Alexander-Walker, ATL | 26 | 19.04 | 30 | 22.60 | 3.56 |
| GG Jackson, MEM | 18 | 10.17 | 21 | 13.38 | 3.21 |
| Cam Thomas, BKN/MIL | 10 | 11.60 | 19 | 14.79 | 3.19 |
Alternatively: biggest game score increase from playing against teams below 45% win percentage to playing against teams above 55% win percentage, min 50% of games played
| Player | GP < 45% Win | Game Score < 45% Win | GP > 55% Win | Game Score > 55% Win | Diff |
|---|---|---|---|---|---|
| Stephen Curry, GSW | 14 | 16.40 | 14 | 21.65 | 5.25 |
| Daniel Gafford, DAL | 17 | 7.80 | 22 | 11.17 | 3.37 |
| De’Andre Hunter, CLE/SAC | 15 | 6.67 | 18 | 9.93 | 3.25 |
| Ivica Zubac, LAC/IND | 13 | 11.32 | 19 | 14.39 | 3.07 |
| Spencer Jones, DEN | 22 | 2.91 | 23 | 5.91 | 3.00 |
biggest PPG decrease from playing against teams below 45% win percentage to playing against teams above 55% win percentage, min 50% of games played and 10 PPG
| Player | GP < 45% Win | PPG < 45% Win | GP > 55% Win | PPG > 55% Win | Diff |
|---|---|---|---|---|---|
| Lauri Markkanen, UTA | 10 | 31.10 | 20 | 24.60 | -6.50 |
| De’Anthony Melton, GSW | 16 | 16.63 | 20 | 10.85 | -5.78 |
| Santi Aldama, MEM | 14 | 17.79 | 18 | 12.11 | -5.67 |
| Luka Doncic, LAL | 24 | 36.13 | 23 | 30.96 | -5.17 |
| Alperen Sengun, HOU | 26 | 23.77 | 27 | 18.89 | -4.88 |
Alternatively: biggest game score decrease from playing against teams below 45% win percentage to playing against teams above 55% win percentage, min 50% of games played
| Player | GP < 45% Win | Game Score < 45% Win | GP > 55% Win | Game Score > 55% Win | Diff |
|---|---|---|---|---|---|
| Luka Doncic, LAL | 24 | 30.13 | 23 | 23.15 | -6.98 |
| Isaiah Hartenstein, OKC | 15 | 15.04 | 21 | 9.10 | -5.94 |
| Alperen Sengun, HOU | 26 | 21.94 | 27 | 16.22 | -5.72 |
| Mark Williams, PHO | 17 | 15.79 | 26 | 10.28 | -5.51 |
| De’Anthony Melton, GSW | 16 | 12.66 | 20 | 7.31 | -5.36 |
highest rate of 3-point shooting fouls drawn as percent of total 3-point attempts (Source at PBPStats) (credit to OhTheGrandeur for suggesting the change to a rate stat)
longest distance in feet on 3-pointers attempted, minimum 82 3PM (Source at PBPStats)
shortest distance in feet on 3-pointers attempted, minimum 82 3PM (Source at PBPStats)
most assists between teammates, weighing for equality using harmonic mean (Source at PBPStats.com)
| Player 1 | Player 2 | P1 to P2 Assists | P2 to P1 Assists | Total Assists | Harmonic Mean |
|---|---|---|---|---|---|
| Jamal Murray, DEN | Nikola Jokić | 170 | 147 | 317 | 157.67 |
| Alperen Sengun, HOU | Kevin Durant | 110 | 92 | 202 | 100.20 |
| Dyson Daniels, ATL | Jalen Johnson | 104 | 79 | 183 | 89.79 |
| Jalen Johnson, ATL | Nickeil Alexander-Walker | 138 | 61 | 199 | 84.60 |
| Alperen Sengun, HOU | Amen Thompson | 101 | 71 | 172 | 83.38 |
biggest discrepancies in assist combinations between teammates (Source at PBPStats.com)
| Player 1 | Player 2 | P1 to P2 Assists | P2 to P1 Assists | Total Assists | Difference |
|---|---|---|---|---|---|
| Cade Cunningham, DET | Jalen Duren | 137 | 28 | 165 | 109 |
| Deandre Ayton, LAL | Luka Dončić | 15 | 109 | 124 | 94 |
| Stephon Castle, SAS | Victor Wembanyama | 130 | 40 | 170 | 90 |
| Maxime Raynaud, SAC | Russell Westbrook | 14 | 102 | 116 | 88 |
| LaMelo Ball, CHA | Miles Bridges | 133 | 48 | 181 | 85 |
contract overperformance by fewest contract $ per 1 VORP, excluding rookie contracts & lower salary than CBA minimum (like 10-days, two-ways, hardship, etc) (credit to memeticengineering for the idea)
| player | salary | vorp | VORP per $1M |
|---|---|---|---|
| Neemias Queta, BOS | $2.35M | 2.4 | 1.0215 |
| Sandro Mamukelashvili, TOR | $2.461M | 2.1 | 0.8532 |
| Javonte Green, DET | $2.296M | 1.5 | 0.6532 |
| Jordan Goodwin, PHO | $2.350M | 1.5 | 0.6384 |
| Luka Garza, BOS | $2.461M | 1.2 | 0.4875 |
alternatively, also excluding players making less than 5% of the salary cap:
| player | salary | vorp | VORP per $1M | Salary as Percent of Salary Cap |
|---|---|---|---|---|
| Deni Avdija, POR | $14.375M | 3.4 | 0.2365 | 9.30% |
| Shai Gilgeous-Alexander, OKC | $38.333M | 7.8 | 0.2035 | 24.79% |
| Tre Jones, CHI | $8.000M | 1.5 | 0.1875 | 5.17% |
| Luke Kornet, SAS | $11.000M | 2 | 0.1818 | 7.11% |
| Nikola Jokić, DEN | $55.000M | 9.1 | 0.1648 | 35.71% |
Biggest positive difference between actual successful challenges and expected successful challenges (credit to xfinityhomeboy, sleepyfox1312 & UBKUBK for the original ideas of best success rate on challenges/most successful challenges, from https://official.nba.com/2025-26-nba-coachs-challenge-reviews/)
| Team | Total Challenges | Successful Challenges | Success Rate | xSuccess | Delta |
|---|---|---|---|---|---|
| NYK | 48 | 38 | 79.17% | 30.33 | 7.67 |
| UTA | 64 | 47 | 73.44% | 40.48 | 6.52 |
| PHI | 66 | 47 | 71.21% | 41.79 | 5.21 |
| LAL | 73 | 51 | 69.86% | 46.24 | 4.76 |
| CLE | 72 | 50 | 69.44% | 45.63 | 4.37 |
Biggest negative difference between actual successful challenges and expected successful challenges (credit to livejamie, Necessary_Career_253 and andresalejandro1120 for the original ideas of worst success rate on challenges/most incorrect challenges)
| Team | Total Challenges | Successful Challenges | Success Rate | xSuccess | Delta |
|---|---|---|---|---|---|
| DAL | 42 | 18 | 42.86% | 26.94 | -8.94 |
| TOR | 50 | 26 | 52.00% | 31.98 | -5.98 |
| MIL | 44 | 23 | 52.27% | 28.12 | -5.12 |
| ATL | 53 | 29 | 54.72% | 33.87 | -4.87 |
| IND | 31 | 15 | 48.39% | 19.81 | -4.81 |
(the awards I agonize over the most & still get wrong lmao)
I value depth over one solitary star (it’s a rotation after all). My attempt to make this more objective than past years:
East
West
East
West
East
West
What are some other awards you’d like to see? Feel free to give me feedback on my choices, especially for the Rotation Awards contenders!