🏆Hometown Heroes Tournament — Vote for your city!
Where NBA Talent
Comes From
Pit regions against each other. See who produces the most players, the highest quality talent, and simulate matchups between regional all-star teams.
Total Players
497
Regions
61
Per-Capita King
Indianapolis
2.36 per M
WARP Leader
Dallas/Fort Worth
26 WARP
CHAMPIONSHIP MODE
Regional Championship
Vote each week to advance your pick to the next round. Click a matchup to view rotations and cast your vote.
Round of 16 voting is live
Closes in:
02days
18hrs
47min
36sec
Round of 16
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Each pin represents a player. Zoom in to explore regions with multiple players.
Region Showdown
Pick two regions, see their best 5 players, and simulate a game to see who wins.
👆 Click the dropdowns below to select regions
TEAM A
26
Players
19.4
Total WARP
0.15
Per Million
Starting 584% fit
+1.6 Net PG
Ajay Mitchell
38 min
+2.1
PM
SG
Bilal Coulibaly
31 min
-1.6
PM
SF
Toumani Camara
33 min
+0.4
PM
PF
Victor Wembanyama
42 min
+6.7
PM
C
Rudy Gobert
40 min
+4.2
PM
Bench
SG
Sidy Cissoko
14m
-1.6
SF
Nicolas Batum
19m
-1
C
Moussa Diabaté
24m
+0.9
TEAM B
25
Players
22.7
Total WARP
1.17
Per Million
Starting 591% fit
+1.8 Net PG
James Harden
40 min
+2.8
PM
SG
Kawhi Leonard
42 min
+5.4
PM
SF
Paul George
38 min
+2.3
PM
PF
Onyeka Okongwu
33 min
+0.9
PM
C
Brook Lopez
31 min
-0.1
PM
Bench
PG
Jrue Holiday
24m
+1.6
SF
Lonzo Ball
19m
+1
PF
Jaime Jaquez Jr.
14m
-0.4
Western EuropeWin ProbabilityLA
49%51%
Simulation Breakdown
See the math, lineups, and roster fit calculations
Simulation Breakdown
See the math, lineups, and roster fit calculations
How Simulation Works
1. Build 8-man rotation using actual position percentages (PG%, SG%, SF%, PF%, C%)
2. Distribute minutes: Stars ~35 min, role players ~20-30 min, bench ~10-15 min
3. Calculate Projected ORTG/DRTG using minute-weighted CraftedOPM/CraftedDPM
4. Win probability: 50% + (Net RTG diff × 4%)
5. Score simulation: (ORTG_A + DRTG_B) / 2 + variance (σ=5.5)
Western Europe
8-Man Rotation
| Pos | Player | Min | PM |
|---|---|---|---|
| PG | Ajay Mitchell | 38 | +2.1 |
| SG | Bilal Coulibaly | 31 | -1.6 |
| SF | Toumani Camara | 33 | +0.4 |
| PF | Victor Wembanyama | 42 | +6.7 |
| C | Rudy Gobert | 40 | +4.2 |
| SG | Sidy Cissoko | 14 | -1.6 |
| SF | Nicolas Batum | 19 | -1 |
| C | Moussa Diabaté | 24 | +0.9 |
Projected Ratings
114.8
ORTG
113.2
DRTG
+1.6
Net RTG
Roster Fit: 84%
LA
8-Man Rotation
| Pos | Player | Min | PM |
|---|---|---|---|
| PG | James Harden | 40 | +2.8 |
| SG | Kawhi Leonard | 42 | +5.4 |
| SF | Paul George | 38 | +2.3 |
| PF | Onyeka Okongwu | 33 | +0.9 |
| C | Brook Lopez | 31 | -0.1 |
| PG | Jrue Holiday | 24 | +1.6 |
| SF | Lonzo Ball | 19 | +1 |
| PF | Jaime Jaquez Jr. | 14 | -0.4 |
Projected Ratings
116.1
ORTG
114.2
DRTG
+1.8
Net RTG
Roster Fit: 91%
Leaderboards
Top 5 regions across key metrics
Most Players
1
Western Europe
26
2
LA
25
3
NYC
21
4
Dallas/Fort Worth
21
5
Atlanta
19
Total WARP
1
Dallas/Fort Worth
26
2
LA
22.7
3
Western Europe
19.4
4
NYC
19.1
5
Atlanta
19
WARP per Player
1
Turkey/Caucasus
2.13
2
San Diego
2
3
Former Yugoslavia
1.64
4
Levant
1.6
5
Connecticut Valley
1.6
League Share
1
Western Europe
5.2%
2
LA
5%
3
NYC
4.2%
4
Dallas/Fort Worth
4.2%
5
Atlanta
3.8%
All Regions
Click any row to see details. Click "Roster" to see all players.
Filters
| # | Region | Players Total players | Pop Population (millions) | Per M Players per million residents | WARP Total Wins Above Replacement | Avg WARP Average WARP per player | WARP/Pop WARP per million population | Share Share of all NBA players | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Western Europe | 26 | 170.7m | 0.15 | 19.4 | 0.75 | 0.11 | 5.2% | |
| 2 | LA | 25 | 21.4m | 1.17 | 22.7 | 0.91 | 1.06 | 5% | |
| 3 | NYC | 21 | 21.6m | 0.97 | 19.1 | 0.91 | 0.88 | 4.2% | |
| 4 | Dallas/Fort Worth | 21 | 9.3m | 2.26 | 26 | 1.24 | 2.8 | 4.2% | |
| 5 | Atlanta | 19 | 9.1m | 2.09 | 19 | 1 | 2.09 | 3.8% | |
| 6 | DC/Baltimore | 18 | 10.7m | 1.68 | 15.1 | 0.84 | 1.41 | 3.6% | |
| 7 | Toronto | 17 | 11.2m | 1.52 | 18.9 | 1.11 | 1.69 | 3.4% | |
| 8 | Chicago | 16 | 10.4m | 1.54 | 7.7 | 0.48 | 0.74 | 3.2% | |
| 9 | Indianapolis | 13 | 5.5m | 2.36 | 7.8 | 0.6 | 1.42 | 2.6% | |
| 10 | Philadelphia | 13 | 10.5m | 1.24 | 12.9 | 0.99 | 1.23 | 2.6% | |
| 11 | Detroit/Toledo | 12 | 9.4m | 1.28 | 10.5 | 0.88 | 1.12 | 2.4% | |
| 12 | Oceania | 12 | 25.9m | 0.46 | 6.7 | 0.56 | 0.26 | 2.4% | |
| 13 | Bay Area | 12 | 13.4m | 0.9 | 9.5 | 0.79 | 0.71 | 2.4% | |
| 14 | Charlotte | 12 | 6.9m | 1.74 | 6.8 | 0.57 | 0.99 | 2.4% | |
| 15 | Seattle | 11 | 5.6m | 1.96 | 8.1 | 0.74 | 1.45 | 2.2% | |
| 16 | Memphis/Little Rock | 11 | 4.7m | 2.34 | 9.1 | 0.83 | 1.94 | 2.2% | |
| 17 | Central Europe | 11 | 160.4m | 0.07 | 5.7 | 0.52 | 0.04 | 2.2% | |
| 18 | Former Yugoslavia | 10 | 22.1m | 0.45 | 16.4 | 1.64 | 0.74 | 2% | |
| 19 | Raleigh/Greensboro | 10 | 7.9m | 1.27 | 11.1 | 1.11 | 1.41 | 2% | |
| 20 | Central Florida | 10 | 13.3m | 0.75 | 4.5 | 0.45 | 0.34 | 2% | |
| 21 | Twin Cities | 9 | 6.5m | 1.38 | 6.9 | 0.77 | 1.06 | 1.8% | |
| 22 | San Antonio/Austin | 9 | 6.5m | 1.38 | 7.1 | 0.79 | 1.09 | 1.8% | |
| 23 | Cleveland | 9 | 4m | 2.25 | 2.9 | 0.32 | 0.73 | 1.8% | |
| 24 | Phoenix | 8 | 7.3m | 1.1 | 3.6 | 0.45 | 0.49 | 1.6% | |
| 25 | St. Louis | 8 | 4.7m | 1.7 | 6.4 | 0.8 | 1.36 | 1.6% | |
| 26 | Milwaukee/Madison | 8 | 4.9m | 1.63 | 9.8 | 1.23 | 2 | 1.6% | |
| 27 | Miami | 8 | 7.5m | 1.07 | 6.6 | 0.83 | 0.88 | 1.6% | |
| 28 | Charleston/Savannah | 7 | 3.9m | 1.79 | 5.4 | 0.77 | 1.38 | 1.4% | |
| 29 | Kansas City | 7 | 4.2m | 1.67 | 3.3 | 0.47 | 0.79 | 1.4% | |
| 30 | Cincy/Columbus | 7 | 7.9m | 0.89 | 3.1 | 0.44 | 0.39 | 1.4% | |
| 31 | West Africa | 7 | 446.1m | 0.02 | 7.5 | 1.07 | 0.02 | 1.4% | |
| 32 | Baltics/Scandinavia | 7 | 33.4m | 0.21 | 5.2 | 0.74 | 0.16 | 1.4% | |
| 33 | Houston | 6 | 8.5m | 0.71 | 7.6 | 1.27 | 0.89 | 1.2% | |
| 34 | Corn Belt | 6 | 4.1m | 1.46 | 4.7 | 0.78 | 1.15 | 1.2% | |
| 35 | New England | 6 | 9.5m | 0.63 | 2.9 | 0.48 | 0.31 | 1.2% | |
| 36 | Deep South | 6 | 6.2m | 0.97 | 1.6 | 0.27 | 0.26 | 1.2% | |
| 37 | NOLA/Delta | 6 | 8.2m | 0.73 | 2.5 | 0.42 | 0.3 | 1.2% | |
| 38 | The Islands | 5 | 35.5m | 0.14 | 3 | 0.6 | 0.08 | 1% | |
| 39 | Richmond/Tidewater | 5 | 4.1m | 1.22 | 4.5 | 0.9 | 1.1 | 1% | |
| 40 | Upstate NY | 5 | 6.2m | 0.81 | 2.6 | 0.52 | 0.42 | 1% | |
| 41 | Nashville | 4 | 3.2m | 1.25 | 2 | 0.5 | 0.63 | 0.8% | |
| 42 | Denver/Front Range | 4 | 5.8m | 0.69 | 4.1 | 1.03 | 0.71 | 0.8% | |
| 43 | Portland | 4 | 4.7m | 0.85 | 5.3 | 1.33 | 1.13 | 0.8% | |
| 44 | Southern Europe | 4 | 73.1m | 0.05 | 4.3 | 1.08 | 0.06 | 0.8% | |
| 45 | Central Africa | 4 | 135.7m | 0.03 | 0.2 | 0.05 | 0 | 0.8% | |
| 46 | Montreal | 4 | 9m | 0.44 | 1.7 | 0.43 | 0.19 | 0.8% | |
| 47 | Louisville | 3 | 4.3m | 0.7 | 3.2 | 1.07 | 0.74 | 0.6% | |
| 48 | Pittsburgh | 3 | 4.7m | 0.64 | 1.8 | 0.6 | 0.38 | 0.6% | |
| 49 | San Diego | 3 | 3.8m | 0.79 | 6 | 2 | 1.58 | 0.6% | |
| 50 | Turkey/Caucasus | 3 | 94.4m | 0.03 | 6.4 | 2.13 | 0.07 | 0.6% | |
| 51 | Connecticut Valley | 3 | 4.1m | 0.73 | 4.8 | 1.6 | 1.17 | 0.6% | |
| 52 | Las Vegas | 3 | 3.3m | 0.91 | 0 | 0 | 0 | 0.6% | |
| 53 | OKC/Tulsa | 3 | 5.9m | 0.51 | 0.5 | 0.17 | 0.08 | 0.6% | |
| 54 | Iberian Peninsula | 3 | 66.2m | 0.05 | 3.9 | 1.3 | 0.06 | 0.6% | |
| 55 | Levant | 2 | 44.3m | 0.05 | 3.2 | 1.6 | 0.07 | 0.4% | |
| 56 | Utah | 2 | 2.7m | 0.74 | 1.4 | 0.7 | 0.52 | 0.4% | |
| 57 | Eastern Europe | 2 | 157.4m | 0.01 | 0.6 | 0.3 | 0 | 0.4% | |
| 58 | Brazil | 1 | 212.6m | 0 | 0.3 | 0.3 | 0 | 0.2% | |
| 59 | Japan | 1 | 125.8m | 0.01 | 0.6 | 0.6 | 0 | 0.2% | |
| 60 | Russia | 1 | 145.9m | 0.01 | 0 | 0 | 0 | 0.2% | |
| 61 | China | 1 | 1,402.1m | 0 | 0 | 0 | 0 | 0.2% |