MLS Both Teams to Score Stats 2026

Both teams have scored in 64% of MLS matches this season. Toronto FC matches have seen both sides score most often (26 of 33), Houston Dynamo matches the least (14 of 33).

#	Team	P	BTTS	BTTS %	Scored in	Conceded in	FTS	CS
1	Toronto FC	33	26	79%	85%	88%	5	4
2	Inter Miami	33	25	76%	91%	82%	3	6
3	LA Galaxy	33	25	76%	88%	85%	4	5
4	Portland Timbers	33	25	76%	79%	94%	7	2
5	Austin FC	33	24	73%	82%	85%	6	5
6	Chicago Fire	33	24	73%	91%	79%	3	7
7	FC Cincinnati	33	24	73%	85%	88%	5	4
8	Minnesota United	33	24	73%	82%	82%	6	6
9	Real Salt Lake	33	23	70%	82%	88%	6	4
10	New York City FC	34	23	68%	82%	82%	6	6
11	Orlando City	34	23	68%	82%	85%	6	5
12	Charlotte FC	33	22	67%	82%	79%	6	7
13	Columbus Crew	33	22	67%	88%	76%	4	8
14	Philadelphia Union	33	22	67%	79%	79%	7	7
15	San Jose Earthquakes	33	22	67%	85%	79%	5	7
16	Sporting Kansas City	33	22	67%	70%	97%	10	1
17	St. Louis City	33	22	67%	79%	85%	7	5
18	Atlanta United	34	22	65%	71%	88%	10	4
19	New England Revolution	34	21	62%	76%	82%	8	6
20	FC Dallas	33	20	61%	76%	76%	8	8
21	San Diego FC	33	20	61%	85%	76%	5	8
22	DC United	34	20	59%	65%	82%	12	6
23	New York Red Bulls	34	20	59%	74%	82%	9	6
24	Seattle Sounders	33	19	58%	76%	76%	8	8
25	Los Angeles FC	33	17	52%	82%	61%	6	13
26	CF Montreal	34	17	50%	59%	88%	14	4
27	Vancouver Whitecaps	34	17	50%	82%	62%	6	13
28	Colorado Rapids	33	16	48%	76%	67%	8	11
29	Nashville SC	33	15	45%	82%	52%	6	16
30	Houston Dynamo	33	14	42%	73%	61%	9	13
	League average	33.3	21.2	64%	79%	79%	6.8	6.8

#	Team	P	BTTS	BTTS %	Scored in	Conceded in	FTS	CS
1	Toronto FC	17	17	100%	100%	100%	0	0
2	Atlanta United	17	14	82%	82%	94%	3	1
3	Portland Timbers	17	14	82%	88%	88%	2	2
4	Sporting Kansas City	17	14	82%	82%	100%	3	0
5	Inter Miami	16	13	81%	100%	81%	0	3
6	Austin FC	16	12	75%	94%	75%	1	4
7	Chicago Fire	16	12	75%	100%	75%	0	4
8	LA Galaxy	17	12	71%	88%	76%	2	4
9	New York City FC	17	12	71%	82%	82%	3	3
10	Orlando City	17	12	71%	94%	76%	1	4
11	St. Louis City	17	12	71%	82%	82%	3	3
12	FC Cincinnati	16	11	69%	88%	81%	2	3
13	San Jose Earthquakes	17	11	65%	88%	76%	2	4
14	Minnesota United	16	10	62%	75%	75%	4	4
15	Philadelphia Union	16	10	62%	81%	69%	3	5
16	San Diego FC	16	10	62%	94%	69%	1	5
17	Seattle Sounders	16	10	62%	75%	81%	4	3
18	Charlotte FC	17	10	59%	76%	71%	4	5
19	Columbus Crew	17	10	59%	82%	71%	3	5
20	DC United	17	10	59%	65%	82%	6	3
21	FC Dallas	16	9	56%	75%	69%	4	5
22	Real Salt Lake	16	9	56%	81%	75%	3	4
23	Nashville SC	17	9	53%	94%	53%	1	8
24	New England Revolution	17	9	53%	76%	71%	4	5
25	CF Montreal	17	8	47%	59%	82%	7	3
26	Colorado Rapids	17	8	47%	94%	53%	1	8
27	Los Angeles FC	17	8	47%	88%	53%	2	8
28	New York Red Bulls	17	8	47%	65%	82%	6	3
29	Vancouver Whitecaps	17	8	47%	88%	59%	2	7
30	Houston Dynamo	16	6	38%	69%	56%	5	7
	League average	16.6	10.6	64%	84%	75%	2.7	4.1

#	Team	P	BTTS	BTTS %	Scored in	Conceded in	FTS	CS
1	Minnesota United	17	14	82%	88%	88%	2	2
2	Real Salt Lake	17	14	82%	82%	100%	3	0
3	LA Galaxy	16	13	81%	88%	94%	2	1
4	FC Cincinnati	17	13	76%	82%	94%	3	1
5	Charlotte FC	16	12	75%	88%	88%	2	2
6	Columbus Crew	16	12	75%	94%	81%	1	3
7	Austin FC	17	12	71%	71%	94%	5	1
8	Chicago Fire	17	12	71%	82%	82%	3	3
9	Inter Miami	17	12	71%	82%	82%	3	3
10	New England Revolution	17	12	71%	76%	94%	4	1
11	New York Red Bulls	17	12	71%	82%	82%	3	3
12	Philadelphia Union	17	12	71%	76%	88%	4	2
13	Portland Timbers	16	11	69%	69%	100%	5	0
14	San Jose Earthquakes	16	11	69%	81%	81%	3	3
15	FC Dallas	17	11	65%	76%	82%	4	3
16	New York City FC	17	11	65%	82%	82%	3	3
17	Orlando City	17	11	65%	71%	94%	5	1
18	St. Louis City	16	10	62%	75%	88%	4	2
19	DC United	17	10	59%	65%	82%	6	3
20	San Diego FC	17	10	59%	76%	82%	4	3
21	Los Angeles FC	16	9	56%	75%	69%	4	5
22	Toronto FC	16	9	56%	69%	75%	5	4
23	CF Montreal	17	9	53%	59%	94%	7	1
24	Seattle Sounders	17	9	53%	76%	71%	4	5
25	Vancouver Whitecaps	17	9	53%	76%	65%	4	6
26	Colorado Rapids	16	8	50%	56%	81%	7	3
27	Sporting Kansas City	16	8	50%	56%	94%	7	1
28	Atlanta United	17	8	47%	59%	82%	7	3
29	Houston Dynamo	17	8	47%	76%	65%	4	6
30	Nashville SC	16	6	38%	69%	50%	5	8
	League average	16.6	10.6	64%	75%	84%	4.1	2.7

Scroll a table sideways for every column

MLS matches this season only, 34 rounds so far. Sorted by BTTS %.

What the BTTS table tells you

Both teams to score, or BTTS, counts the matches in which each side found the net at least once. It depends on two things at the same time: how reliably a team scores and how often it concedes.

That is why the table also shows how often each club scored in a match and how often it conceded. A side that scores almost every week but rarely keeps a clean sheet sits near the top. A side with a tight defence and a quiet attack sits near the bottom, even when its games are close.

The last two columns count the ways a match misses out: a game where the club fails to score, or one where it keeps a clean sheet. Home and away can differ a lot, so check the split for the venue you care about.

More MLS stats

MLS Both Teams to Score Stats 2026

What the BTTS table tells you

More MLS stats

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Both Teams to Score Stats in other leagues