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
509
Regions
61
Per-Capita King
Memphis/Little Rock
2.55 per M
WARP Leader
Dallas/Fort Worth
46.4 WARP
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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
27
Players
36.8
Total WARP
0.16
Per Million
Starting 580% fit
+2 Net PG
Ajay Mitchell
38 min
+2.3
PM
SG
Bilal Coulibaly
31 min
-1.3
PM
SF
Toumani Camara
33 min
+1.1
PM
PF
Victor Wembanyama
42 min
+8.7
PM
C
Rudy Gobert
40 min
+3.4
PM
Bench
PG
Nolan Traore
14m
-1.1
SF
Nicolas Batum
19m
-0.8
C
Moussa Diabaté
24m
+1.3
TEAM B
25
Players
46.3
Total WARP
1.17
Per Million
Starting 591% fit
+2.1 Net PG
LaMelo Ball
40 min
+2.8
PM
SG
Kawhi Leonard
42 min
+6.9
PM
SF
Paul George
38 min
+2.5
PM
PF
Onyeka Okongwu
33 min
+1.2
PM
C
Brook Lopez
31 min
-0.1
PM
Bench
SG
James Harden
24m
+2.5
SF
Lonzo Ball
19m
+0.9
PF
Jaime Jaquez Jr.
14m
-1
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 | +2.3 |
| SG | Bilal Coulibaly | 31 | -1.3 |
| SF | Toumani Camara | 33 | +1.1 |
| PF | Victor Wembanyama | 42 | +8.7 |
| C | Rudy Gobert | 40 | +3.4 |
| PG | Nolan Traore | 14 | -1.1 |
| SF | Nicolas Batum | 19 | -0.8 |
| C | Moussa Diabaté | 24 | +1.3 |
Projected Ratings
115.1
ORTG
113.1
DRTG
+2
Net RTG
Roster Fit: 80%
LA
8-Man Rotation
| Pos | Player | Min | PM |
|---|---|---|---|
| PG | LaMelo Ball | 40 | +2.8 |
| SG | Kawhi Leonard | 42 | +6.9 |
| SF | Paul George | 38 | +2.5 |
| PF | Onyeka Okongwu | 33 | +1.2 |
| C | Brook Lopez | 31 | -0.1 |
| SG | James Harden | 24 | +2.5 |
| SF | Lonzo Ball | 19 | +0.9 |
| PF | Jaime Jaquez Jr. | 14 | -1 |
Projected Ratings
116.5
ORTG
114.4
DRTG
+2.1
Net RTG
Roster Fit: 91%
Leaderboards
Top 5 regions across key metrics
Most Players
1
Western Europe
27
2
LA
25
3
NYC
22
4
Dallas/Fort Worth
21
5
Atlanta
19
Total WARP
1
Dallas/Fort Worth
46.4
2
LA
46.3
3
NYC
40.3
4
Western Europe
36.8
5
Atlanta
35.6
WARP per Player
1
Connecticut Valley
3.3
2
San Diego
3.07
3
Former Yugoslavia
2.96
4
Turkey/Caucasus
2.73
5
Milwaukee/Madison
2.7
League Share
1
Western Europe
5.3%
2
LA
4.9%
3
NYC
4.3%
4
Dallas/Fort Worth
4.1%
5
Atlanta
3.7%
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 | 27 | 170.7m | 0.16 | 36.8 | 1.36 | 0.22 | 5.3% | |
| 2 | LA | 25 | 21.4m | 1.17 | 46.3 | 1.85 | 2.16 | 4.9% | |
| 3 | NYC | 22 | 21.6m | 1.02 | 40.3 | 1.83 | 1.87 | 4.3% | |
| 4 | Dallas/Fort Worth | 21 | 9.3m | 2.26 | 46.4 | 2.21 | 4.99 | 4.1% | |
| 5 | Atlanta | 19 | 9.1m | 2.09 | 35.6 | 1.87 | 3.91 | 3.7% | |
| 6 | DC/Baltimore | 18 | 10.7m | 1.68 | 30.3 | 1.68 | 2.83 | 3.5% | |
| 7 | Toronto | 17 | 11.2m | 1.52 | 35.4 | 2.08 | 3.16 | 3.3% | |
| 8 | Chicago | 17 | 10.4m | 1.63 | 15.7 | 0.92 | 1.51 | 3.3% | |
| 9 | Philadelphia | 13 | 10.5m | 1.24 | 27 | 2.08 | 2.57 | 2.6% | |
| 10 | Charlotte | 13 | 6.9m | 1.88 | 7.1 | 0.55 | 1.03 | 2.6% | |
| 11 | Indianapolis | 13 | 5.5m | 2.36 | 13.9 | 1.07 | 2.53 | 2.6% | |
| 12 | Detroit/Toledo | 13 | 9.4m | 1.38 | 16.7 | 1.28 | 1.78 | 2.6% | |
| 13 | Memphis/Little Rock | 12 | 4.7m | 2.55 | 18.3 | 1.53 | 3.89 | 2.4% | |
| 14 | Oceania | 12 | 25.9m | 0.46 | 13 | 1.08 | 0.5 | 2.4% | |
| 15 | Bay Area | 12 | 13.4m | 0.9 | 20.2 | 1.68 | 1.51 | 2.4% | |
| 16 | Central Europe | 11 | 160.4m | 0.07 | 10.5 | 0.95 | 0.07 | 2.2% | |
| 17 | Seattle | 11 | 5.6m | 1.96 | 16.4 | 1.49 | 2.93 | 2.2% | |
| 18 | Twin Cities | 10 | 6.5m | 1.54 | 14.7 | 1.47 | 2.26 | 2% | |
| 19 | Central Florida | 10 | 13.3m | 0.75 | 8.6 | 0.86 | 0.65 | 2% | |
| 20 | Raleigh/Greensboro | 10 | 7.9m | 1.27 | 21.8 | 2.18 | 2.76 | 2% | |
| 21 | Former Yugoslavia | 10 | 22.1m | 0.45 | 29.6 | 2.96 | 1.34 | 2% | |
| 22 | Cleveland | 9 | 4m | 2.25 | 8.6 | 0.96 | 2.15 | 1.8% | |
| 23 | San Antonio/Austin | 9 | 6.5m | 1.38 | 12.8 | 1.42 | 1.97 | 1.8% | |
| 24 | St. Louis | 8 | 4.7m | 1.7 | 15.5 | 1.94 | 3.3 | 1.6% | |
| 25 | West Africa | 8 | 446.1m | 0.02 | 13.4 | 1.68 | 0.03 | 1.6% | |
| 26 | Phoenix | 8 | 7.3m | 1.1 | 5.7 | 0.71 | 0.78 | 1.6% | |
| 27 | Charleston/Savannah | 8 | 3.9m | 2.05 | 8.3 | 1.04 | 2.13 | 1.6% | |
| 28 | Milwaukee/Madison | 8 | 4.9m | 1.63 | 21.6 | 2.7 | 4.41 | 1.6% | |
| 29 | Miami | 8 | 7.5m | 1.07 | 13.7 | 1.71 | 1.83 | 1.6% | |
| 30 | Kansas City | 7 | 4.2m | 1.67 | 7.8 | 1.11 | 1.86 | 1.4% | |
| 31 | Cincy/Columbus | 7 | 7.9m | 0.89 | 4.8 | 0.69 | 0.61 | 1.4% | |
| 32 | Houston | 7 | 8.5m | 0.82 | 13 | 1.86 | 1.53 | 1.4% | |
| 33 | Baltics/Scandinavia | 7 | 33.4m | 0.21 | 10 | 1.43 | 0.3 | 1.4% | |
| 34 | New England | 6 | 9.5m | 0.63 | 7.1 | 1.18 | 0.75 | 1.2% | |
| 35 | Corn Belt | 6 | 4.1m | 1.46 | 8.5 | 1.42 | 2.07 | 1.2% | |
| 36 | Deep South | 6 | 6.2m | 0.97 | 3.2 | 0.53 | 0.52 | 1.2% | |
| 37 | NOLA/Delta | 6 | 8.2m | 0.73 | 6.4 | 1.07 | 0.78 | 1.2% | |
| 38 | Upstate NY | 5 | 6.2m | 0.81 | 4.2 | 0.84 | 0.68 | 1% | |
| 39 | The Islands | 5 | 35.5m | 0.14 | 6.2 | 1.24 | 0.17 | 1% | |
| 40 | Richmond/Tidewater | 5 | 4.1m | 1.22 | 6.7 | 1.34 | 1.63 | 1% | |
| 41 | Nashville | 4 | 3.2m | 1.25 | 6.3 | 1.58 | 1.97 | 0.8% | |
| 42 | Turkey/Caucasus | 4 | 94.4m | 0.04 | 10.9 | 2.73 | 0.12 | 0.8% | |
| 43 | Portland | 4 | 4.7m | 0.85 | 8.9 | 2.23 | 1.89 | 0.8% | |
| 44 | Southern Europe | 4 | 73.1m | 0.05 | 6.4 | 1.6 | 0.09 | 0.8% | |
| 45 | Montreal | 4 | 9m | 0.44 | 2.8 | 0.7 | 0.31 | 0.8% | |
| 46 | Central Africa | 4 | 135.7m | 0.03 | 1.1 | 0.28 | 0.01 | 0.8% | |
| 47 | Denver/Front Range | 4 | 5.8m | 0.69 | 9.4 | 2.35 | 1.62 | 0.8% | |
| 48 | Pittsburgh | 3 | 4.7m | 0.64 | 3.8 | 1.27 | 0.81 | 0.6% | |
| 49 | Connecticut Valley | 3 | 4.1m | 0.73 | 9.9 | 3.3 | 2.41 | 0.6% | |
| 50 | Louisville | 3 | 4.3m | 0.7 | 4.9 | 1.63 | 1.14 | 0.6% | |
| 51 | San Diego | 3 | 3.8m | 0.79 | 9.2 | 3.07 | 2.42 | 0.6% | |
| 52 | OKC/Tulsa | 3 | 5.9m | 0.51 | 0.6 | 0.2 | 0.1 | 0.6% | |
| 53 | Las Vegas | 3 | 3.3m | 0.91 | 0.1 | 0.03 | 0.03 | 0.6% | |
| 54 | Iberian Peninsula | 3 | 66.2m | 0.05 | 8 | 2.67 | 0.12 | 0.6% | |
| 55 | Levant | 2 | 44.3m | 0.05 | 4.1 | 2.05 | 0.09 | 0.4% | |
| 56 | Japan | 2 | 125.8m | 0.02 | 1.5 | 0.75 | 0.01 | 0.4% | |
| 57 | Eastern Europe | 2 | 157.4m | 0.01 | 0.8 | 0.4 | 0.01 | 0.4% | |
| 58 | Utah | 2 | 2.7m | 0.74 | 2.8 | 1.4 | 1.04 | 0.4% | |
| 59 | Brazil | 1 | 212.6m | 0 | 2.1 | 2.1 | 0.01 | 0.2% | |
| 60 | China | 1 | 1,402.1m | 0 | -0.1 | -0.1 | -0 | 0.2% | |
| 61 | Russia | 1 | 145.9m | 0.01 | 1.1 | 1.1 | 0.01 | 0.2% |
Tournament ended
2026 Hometowns Tournament
This tournament has ended. View the bracket and results below.
Champion: Toronto