Ottawa Fury 1 - 1 San Antonio Scorpions

17.08.2014 - 15:00

Stadium: TD Place Stadium (Ottawa, Ontario)

Finished

Table Corners Cards 1st Half 2nd Half Over Under Goals Clean Sheet BTTS Match Scoring / Conceding First

Over 2.5
Over 0.5
Over 1.5
Over 3.5
Over 4.5
Over 5.5

#	Team	MP	Over 2.5	Overall	Home	Away
1	Minnesota United	28	14	50%	43%	57%
2	North Carolina FC	27	13	48%	62%	36%
3	Indy Eleven	27	16	59%	50%	69%
4	NY Cosmos	28	12	43%	36%	50%
5	Edmonton	27	12	44%	62%	29%
6	Fort Lauderdale Strikers	29	16	55%	38%	69%
7	Tampa Bay Rowdies	27	13	48%	64%	31%
8	Ottawa Fury	27	14	52%	50%	54%
9	San Antonio Scorpions	29	13	45%	44%	46%
10	Atlanta Silverbacks	27	17	63%	62%	64%

#	Team	MP	Over 0.5	Overall	Home	Away
1	Minnesota United	28	26	93%	86%	100%
2	North Carolina FC	27	26	96%	100%	93%
3	Indy Eleven	27	25	93%	93%	92%
4	NY Cosmos	28	25	89%	86%	93%
5	Edmonton	27	24	89%	92%	86%
6	Fort Lauderdale Strikers	29	28	97%	100%	94%
7	Tampa Bay Rowdies	27	27	100%	100%	100%
8	Ottawa Fury	27	26	96%	100%	92%
9	San Antonio Scorpions	29	28	97%	94%	100%
10	Atlanta Silverbacks	27	27	100%	100%	100%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Minnesota United	28	21	75%	57%	93%
2	North Carolina FC	27	20	74%	92%	57%
3	Indy Eleven	27	22	81%	79%	85%
4	NY Cosmos	28	17	61%	57%	64%
5	Edmonton	27	17	63%	69%	57%
6	Fort Lauderdale Strikers	29	25	86%	77%	94%
7	Tampa Bay Rowdies	27	23	85%	93%	77%
8	Ottawa Fury	27	23	85%	86%	85%
9	San Antonio Scorpions	29	22	76%	81%	69%
10	Atlanta Silverbacks	27	24	89%	85%	93%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Minnesota United	28	8	29%	29%	29%
2	North Carolina FC	27	9	33%	46%	21%
3	Indy Eleven	27	8	30%	21%	38%
4	NY Cosmos	28	7	25%	29%	21%
5	Edmonton	27	5	19%	23%	14%
6	Fort Lauderdale Strikers	29	9	31%	15%	44%
7	Tampa Bay Rowdies	27	11	41%	57%	23%
8	Ottawa Fury	27	5	19%	29%	8%
9	San Antonio Scorpions	29	6	21%	13%	31%
10	Atlanta Silverbacks	27	8	30%	15%	43%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Minnesota United	28	6	21%	21%	21%
2	North Carolina FC	27	5	19%	31%	7%
3	Indy Eleven	27	6	22%	14%	31%
4	NY Cosmos	28	2	7%	7%	7%
5	Edmonton	27	3	11%	8%	14%
6	Fort Lauderdale Strikers	29	4	14%	8%	19%
7	Tampa Bay Rowdies	27	7	26%	36%	15%
8	Ottawa Fury	27	3	11%	14%	8%
9	San Antonio Scorpions	29	2	7%	6%	8%
10	Atlanta Silverbacks	27	4	15%	8%	21%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Minnesota United	28	2	7%	7%	7%
2	North Carolina FC	27	3	11%	15%	7%
3	Indy Eleven	27	4	15%	14%	15%
4	NY Cosmos	28	1	4%	0%	7%
5	Edmonton	27	1	4%	8%	0%
6	Fort Lauderdale Strikers	29	0	0%	0%	0%
7	Tampa Bay Rowdies	27	3	11%	7%	15%
8	Ottawa Fury	27	1	4%	0%	8%
9	San Antonio Scorpions	29	1	3%	6%	0%
10	Atlanta Silverbacks	27	2	7%	8%	7%

Under 2.5
Under 0.5
Under 1.5
Under 3.5
Under 4.5
Under 5.5

#	Team	MP	Over 2.5	Overall	Home	Away
1	Minnesota United	28	14	50%	57%	43%
2	North Carolina FC	27	14	52%	38%	64%
3	Indy Eleven	27	11	41%	50%	31%
4	NY Cosmos	28	16	57%	64%	50%
5	Edmonton	27	15	56%	38%	71%
6	Fort Lauderdale Strikers	29	13	45%	62%	31%
7	Tampa Bay Rowdies	27	14	52%	36%	69%
8	Ottawa Fury	27	13	48%	50%	46%
9	San Antonio Scorpions	29	16	55%	56%	54%
10	Atlanta Silverbacks	27	10	37%	38%	36%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Minnesota United	28	2	7%	14%	0%
2	North Carolina FC	27	1	4%	0%	7%
3	Indy Eleven	27	2	7%	7%	8%
4	NY Cosmos	28	3	11%	14%	7%
5	Edmonton	27	3	11%	8%	14%
6	Fort Lauderdale Strikers	29	1	3%	0%	6%
7	Tampa Bay Rowdies	27	0	0%	0%	0%
8	Ottawa Fury	27	1	4%	0%	8%
9	San Antonio Scorpions	29	1	3%	6%	0%
10	Atlanta Silverbacks	27	0	0%	0%	0%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Minnesota United	28	7	25%	43%	7%
2	North Carolina FC	27	7	26%	8%	43%
3	Indy Eleven	27	5	19%	21%	15%
4	NY Cosmos	28	11	39%	43%	36%
5	Edmonton	27	10	37%	31%	43%
6	Fort Lauderdale Strikers	29	4	14%	23%	6%
7	Tampa Bay Rowdies	27	4	15%	7%	23%
8	Ottawa Fury	27	4	15%	14%	15%
9	San Antonio Scorpions	29	7	24%	19%	31%
10	Atlanta Silverbacks	27	3	11%	15%	7%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Minnesota United	28	20	71%	71%	71%
2	North Carolina FC	27	18	67%	54%	79%
3	Indy Eleven	27	19	70%	79%	62%
4	NY Cosmos	28	21	75%	71%	79%
5	Edmonton	27	22	81%	77%	86%
6	Fort Lauderdale Strikers	29	20	69%	85%	56%
7	Tampa Bay Rowdies	27	16	59%	43%	77%
8	Ottawa Fury	27	22	81%	71%	92%
9	San Antonio Scorpions	29	23	79%	88%	69%
10	Atlanta Silverbacks	27	19	70%	85%	57%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Minnesota United	28	22	79%	79%	79%
2	North Carolina FC	27	22	81%	69%	93%
3	Indy Eleven	27	21	78%	86%	69%
4	NY Cosmos	28	26	93%	93%	93%
5	Edmonton	27	24	89%	92%	86%
6	Fort Lauderdale Strikers	29	25	86%	92%	81%
7	Tampa Bay Rowdies	27	20	74%	64%	85%
8	Ottawa Fury	27	24	89%	86%	92%
9	San Antonio Scorpions	29	27	93%	94%	92%
10	Atlanta Silverbacks	27	23	85%	92%	79%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Minnesota United	28	26	93%	93%	93%
2	North Carolina FC	27	24	89%	85%	93%
3	Indy Eleven	27	23	85%	86%	85%
4	NY Cosmos	28	27	96%	100%	93%
5	Edmonton	27	26	96%	92%	100%
6	Fort Lauderdale Strikers	29	29	100%	100%	100%
7	Tampa Bay Rowdies	27	24	89%	93%	85%
8	Ottawa Fury	27	26	96%	100%	92%
9	San Antonio Scorpions	29	28	97%	94%	100%
10	Atlanta Silverbacks	27	25	93%	92%	93%

You can check out how often Ottawa Fury and San Antonio Scorpions matches in the NASL go over or under a certain number of goals on this page. This is a handy tool to help predict how many goals they could potentially score when they meet in their upcoming match.

Here is an example of what we mean:

85% of Ottawa Fury’s matches in the NASL have had more than 1.5 goals scored. And when we raise the line of total goals to 2.5, then the rate of matches that go over that number is 52%.

You can also check how many times the total has gone under. In San Antonio Scorpions’s case, 24% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 55%.

You can also see whether Ottawa Fury and San Antonio Scorpions matches go over or under a total number of goals when playing at home, away, or overall in NASL.

The over/under goal analysis for Ottawa Fury vs San Antonio Scorpions offers valuable insights into each club's playing styles as well as a reasonable estimation of goals we could see in the match.

However, predicting the number of goals in a match does not always go the way the math says it will. It’s important to always consider other factors as well in order to get the best chance of making an accurate prediction.

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