11.06.2016 - 19:00
Stadium: TD Place Stadium (Ottawa, Ontario)
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Minnesota United | 32 | 13 | 41% |
2 | North Carolina FC | 32 | 14 | 44% |
3 | Jacksonville Armada | 32 | 16 | 50% |
4 | Indy Eleven | 34 | 19 | 56% |
5 | Puerto Rico | 22 | 10 | 45% |
6 | Miami FC | 32 | 16 | 50% |
7 | NY Cosmos | 34 | 15 | 44% |
8 | Edmonton | 33 | 8 | 24% |
9 | Fort Lauderdale Strikers | 32 | 16 | 50% |
10 | Tampa Bay Rowdies | 32 | 19 | 59% |
11 | Ottawa Fury | 32 | 17 | 53% |
12 | Rayo OKC | 33 | 19 | 58% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Minnesota United | 16 | 6 | 38% |
2 | North Carolina FC | 16 | 6 | 38% |
3 | Jacksonville Armada | 16 | 10 | 63% |
4 | Indy Eleven | 17 | 9 | 53% |
5 | Puerto Rico | 11 | 5 | 45% |
6 | Miami FC | 16 | 7 | 44% |
7 | NY Cosmos | 18 | 6 | 33% |
8 | Edmonton | 16 | 4 | 25% |
9 | Fort Lauderdale Strikers | 16 | 7 | 44% |
10 | Tampa Bay Rowdies | 16 | 10 | 63% |
11 | Ottawa Fury | 16 | 9 | 56% |
12 | Rayo OKC | 16 | 12 | 75% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Minnesota United | 16 | 7 | 44% |
2 | North Carolina FC | 16 | 8 | 50% |
3 | Jacksonville Armada | 16 | 6 | 38% |
4 | Indy Eleven | 17 | 10 | 59% |
5 | Puerto Rico | 11 | 5 | 45% |
6 | Miami FC | 16 | 9 | 56% |
7 | NY Cosmos | 16 | 9 | 56% |
8 | Edmonton | 17 | 4 | 24% |
9 | Fort Lauderdale Strikers | 16 | 9 | 56% |
10 | Tampa Bay Rowdies | 16 | 9 | 56% |
11 | Ottawa Fury | 16 | 8 | 50% |
12 | Rayo OKC | 17 | 7 | 41% |
This section shows the statistics on how many times Ottawa Fury and Rayo OKC have both scored and conceded in the same match in the NASL.
The “Both Teams to Score” stat is a good data point to use for seeing whether or not a match will feature many (or any) goals. If both teams have a high rate of both scoring and conceding goals, then there is a good chance that a couple of goals will go in. But if one or both teams have low BTTS rates, then their match could be a lower-scoring affair.
Check out the BTTS (both teams to score) stats for the match:
It’s important to consider BTTS statistics when analysing teams as they provide insight into the teams’ overall approach and performance in matches. Teams with a high percentage of both teams scoring usually have more attacking approaches, whilst a lower rate of both teams scoring could point to a slightly more conservative gameplan for the most part.
And of course, this information should prove quite valuable when picking bets on the “Both Teams to Score” market and other goal-related markets
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