| GP | W | T | L | gf | ga | gf/ga | |||
|---|---|---|---|---|---|---|---|---|---|
| New York City FC | MLS | 2016 | 18 | 7 | 6 | 5 | 29 | 31 | 0.94 |
| New York Red Bulls | MLS | 2016 | 18 | 7 | 2 | 9 | 28 | 25 | 1.12 |
| Sporting Kansas City | MLS | 2016 | 19 | 7 | 4 | 8 | 21 | 22 | 0.95 |
| Columbus Crew | MLS | 2016 | 16 | 3 | 7 | 6 | 21 | 25 | 0.84 |
| GP | W | T | L | gf | ga | gf/ga | |||
|---|---|---|---|---|---|---|---|---|---|
| New York City FC | MLS | 2016 | 18 | 7 | 6 | 5 | 29 | 31 | 0.94 |
| New York Red Bulls | MLS | 2016 | 18 | 7 | 2 | 9 | 28 | 25 | 1.12 |
| Sporting Kansas City | MLS | 2016 | 19 | 7 | 4 | 8 | 21 | 22 | 0.95 |
| Columbus Crew | MLS | 2016 | 16 | 3 | 7 | 6 | 21 | 25 | 0.84 |