27.07.2013 - 16:30
Stadium: BMO Field (Toronto, Ontario)
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Orlando City | 29 | 15 | 52% |
2 | Penn FC | 27 | 20 | 74% |
3 | Pittsburgh Riverhounds | 27 | 16 | 59% |
4 | Charleston Battery | 28 | 17 | 61% |
5 | Richmond Kickers | 28 | 16 | 57% |
6 | Orange County SC | 27 | 17 | 63% |
7 | Rochester Rhinos | 26 | 13 | 50% |
8 | Wilmington Hammerheads | 26 | 16 | 62% |
9 | Charlotte Eagles | 29 | 17 | 59% |
10 | Dayton Dutch Lions | 27 | 17 | 63% |
11 | Antigua Barracuda F.C. | 26 | 10 | 38% |
12 | Phoenix FC | 26 | 13 | 50% |
13 | VSI Tampa Bay | 26 | 12 | 46% |
14 | Seattle Sounders Res. | 12 | 7 | 58% |
15 | Chivas USA Res. | 12 | 9 | 75% |
16 | Colorado Rapids Res. | 14 | 8 | 57% |
17 | Real Salt Lake Res. | 14 | 5 | 36% |
18 | Montreal Impact Res. | 11 | 4 | 36% |
19 | New York RB Res. | 12 | 8 | 67% |
20 | Chicago Fire Res. | 13 | 11 | 85% |
21 | Dallas Res. | 13 | 11 | 85% |
22 | SJ Earthquakes Res. | 10 | 5 | 50% |
23 | LA Galaxy Res. | 10 | 5 | 50% |
24 | Portland Timbers Res. | 14 | 8 | 57% |
25 | Whitecaps Res. | 10 | 8 | 80% |
26 | Houston Dynamo Res. | 9 | 4 | 44% |
27 | Columbus Crew Res. | 14 | 9 | 64% |
28 | Toronto Res. | 8 | 5 | 63% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Orlando City | 17 | 9 | 53% |
2 | Penn FC | 15 | 12 | 80% |
3 | Pittsburgh Riverhounds | 14 | 11 | 79% |
4 | Charleston Battery | 15 | 8 | 53% |
5 | Richmond Kickers | 16 | 9 | 56% |
6 | Orange County SC | 14 | 6 | 43% |
7 | Rochester Rhinos | 14 | 7 | 50% |
8 | Wilmington Hammerheads | 14 | 9 | 64% |
9 | Charlotte Eagles | 14 | 4 | 29% |
10 | Dayton Dutch Lions | 14 | 11 | 79% |
11 | Antigua Barracuda F.C. | 0 | 0 | 0% |
12 | Phoenix FC | 14 | 8 | 57% |
13 | VSI Tampa Bay | 14 | 6 | 43% |
14 | Seattle Sounders Res. | 7 | 4 | 57% |
15 | Chivas USA Res. | 6 | 6 | 100% |
16 | Colorado Rapids Res. | 7 | 3 | 43% |
17 | Real Salt Lake Res. | 7 | 3 | 43% |
18 | Montreal Impact Res. | 5 | 1 | 20% |
19 | New York RB Res. | 6 | 5 | 83% |
20 | Chicago Fire Res. | 7 | 7 | 100% |
21 | Dallas Res. | 6 | 5 | 83% |
22 | SJ Earthquakes Res. | 5 | 1 | 20% |
23 | LA Galaxy Res. | 5 | 3 | 60% |
24 | Portland Timbers Res. | 7 | 5 | 71% |
25 | Whitecaps Res. | 5 | 3 | 60% |
26 | Houston Dynamo Res. | 6 | 2 | 33% |
27 | Columbus Crew Res. | 7 | 4 | 57% |
28 | Toronto Res. | 3 | 1 | 33% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Orlando City | 12 | 6 | 50% |
2 | Penn FC | 12 | 8 | 67% |
3 | Pittsburgh Riverhounds | 13 | 5 | 38% |
4 | Charleston Battery | 13 | 9 | 69% |
5 | Richmond Kickers | 12 | 7 | 58% |
6 | Orange County SC | 13 | 11 | 85% |
7 | Rochester Rhinos | 12 | 6 | 50% |
8 | Wilmington Hammerheads | 12 | 7 | 58% |
9 | Charlotte Eagles | 15 | 13 | 87% |
10 | Dayton Dutch Lions | 13 | 6 | 46% |
11 | Antigua Barracuda F.C. | 26 | 10 | 38% |
12 | Phoenix FC | 12 | 5 | 42% |
13 | VSI Tampa Bay | 12 | 6 | 50% |
14 | Seattle Sounders Res. | 5 | 3 | 60% |
15 | Chivas USA Res. | 6 | 3 | 50% |
16 | Colorado Rapids Res. | 7 | 5 | 71% |
17 | Real Salt Lake Res. | 7 | 2 | 29% |
18 | Montreal Impact Res. | 6 | 3 | 50% |
19 | New York RB Res. | 6 | 3 | 50% |
20 | Chicago Fire Res. | 6 | 4 | 67% |
21 | Dallas Res. | 7 | 6 | 86% |
22 | SJ Earthquakes Res. | 5 | 4 | 80% |
23 | LA Galaxy Res. | 5 | 2 | 40% |
24 | Portland Timbers Res. | 7 | 3 | 43% |
25 | Whitecaps Res. | 5 | 5 | 100% |
26 | Houston Dynamo Res. | 3 | 2 | 67% |
27 | Columbus Crew Res. | 7 | 5 | 71% |
28 | Toronto Res. | 5 | 4 | 80% |
This section shows the statistics on how many times Toronto Res. and Pittsburgh Riverhounds have both scored and conceded in the same match in the USL Championship.
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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