MLS Odds

Ready to bet on MLS and earn big?

Here you will find the latest MLS betting odds and match markets from Top Soccer Betting Sites. Our MLS odds table lets you compare MLS soccer odds from popular offshore sportsbooks so you can make informed betting decisions with confidence.

Choose the right MLS sportsbook and take advantage of the best MLS soccer lines available.

Ultimately, we will show you how to read MLS odds and give you a few tips.

Use the links below to jump to the section you are interested in:

• MLS Odds
• How to Read MLS Betting Odds
• MLS Betting Tips

MLS Odds

American Fractional Decimal

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Moneyline

Sat Sep 21st, 2:00pm ET
1 New York City FC	-	-	+155 31/20 2.55	+155 31/20 2.55	+156 39/25 2.56	+155 31/20 2.55
XDraw	-	-	+270 27/10 3.7	+270 27/10 3.7	+265 53/20 3.65	+270 27/10 3.7
2 Inter Miami CF	-	-	+155 31/20 2.55	+155 31/20 2.55	+154 77/50 2.54	+155 31/20 2.55
1 New York City FC	-	-	0 -115 0.87/1 1.87	0 -108 0.93/1 1.93	0.5 -196 0.51/1 1.51	0 -108 0.93/1 1.93
XDraw	-	-
2 Inter Miami CF	-	-	0 -115 0.87/1 1.87	0 -112 0.89/1 1.89	-0.5 +145 29/20 2.45	0 -112 0.89/1 1.89
1 New York City FC	-	-	o3 -108 0.93/1 1.93	o2.75 -122 0.82/1 1.82	o2.5 -159 0.63/1 1.63	o2.75 -122 0.82/1 1.82
XDraw	-	-
2 Inter Miami CF	-	-	u3 -122 0.82/1 1.82	u2.75 +102 51/50 2.02	u2.5 +119 119/100 2.19	u2.75 +102 51/50 2.02
Sat Sep 21st, 4:00pm ET
1 Charlotte FC	-154 0.65/1 1.65	-145 0.69/1 1.69	-145 0.69/1 1.69	-149 0.67/1 1.67	-149 0.67/1 1.67	-145 0.69/1 1.69
XDraw	+290 29/10 3.9	+300 3/1 4	+310 31/10 4.1	+320 16/5 4.2	+310 31/10 4.1	+300 3/1 4
2 New England Revolution	+370 37/10 4.7	+377 377/100 4.77	+365 73/20 4.65	+360 18/5 4.6	+360 18/5 4.6	+377 377/100 4.77
1 Charlotte FC	-	-0.75 -115 0.87/1 1.87	-0.5 -145 0.69/1 1.69	-0.75 -118 0.85/1 1.85	-0.5 -156 0.64/1 1.64	0.75 -115 0.87/1 1.87
XDraw	-
2 New England Revolution	-	0.75 -105 0.95/1 1.95	0.5 +115 23/20 2.15	0.75 -102 0.98/1 1.98	0.5 +117 117/100 2.17	-0.75 -105 0.95/1 1.95
1 Charlotte FC	-	o2.75 -115 0.87/1 1.87	o3 -105 0.95/1 1.95	o2.75 -120 0.83/1 1.83	o2.5 -156 0.64/1 1.64	o2.75 -115 0.87/1 1.87
XDraw	-
2 New England Revolution	-	u2.75 -105 0.95/1 1.95	u3 -125 0.8/1 1.8	u2.75 +100 1/1 2	u2.5 +117 117/100 2.17	u2.75 -105 0.95/1 1.95
Sat Sep 21st, 7:30pm ET
1 New York Red Bulls	-149 0.67/1 1.67	-139 0.72/1 1.72	-141 0.71/1 1.71	-145 0.69/1 1.69	-145 0.69/1 1.69	-139 0.72/1 1.72
XDraw	+290 29/10 3.9	+300 3/1 4	+301 301/100 4.01	+310 31/10 4.1	+295 59/20 3.95	+300 3/1 4
2 Atlanta United FC	+340 17/5 4.4	+355 71/20 4.55	+353 353/100 4.53	+370 37/10 4.7	+370 37/10 4.7	+355 71/20 4.55
1 New York Red Bulls	-	-0.75 -110 0.91/1 1.91	-0.5 -141 0.71/1 1.71	-0.75 -115 0.87/1 1.87	-0.5 -152 0.66/1 1.66	0.75 -110 0.91/1 1.91
XDraw	-
2 Atlanta United FC	-	0.75 -110 0.91/1 1.91	0.5 +110 11/10 2.1	0.75 -105 0.95/1 1.95	0.5 +114 57/50 2.14	-0.75 -110 0.91/1 1.91
1 New York Red Bulls	-	o3 +106 53/50 2.06	o3 -109 0.92/1 1.92	o3 +102 51/50 2.02	o2.5 -164 0.61/1 1.61	o3 +106 53/50 2.06
XDraw	-
2 Atlanta United FC	-	u3 -127 0.79/1 1.79	u3 -120 0.83/1 1.83	u3 -122 0.82/1 1.82	u2.5 +123 123/100 2.23	u3 -127 0.79/1 1.79
Sat Sep 21st, 7:30pm ET
1 Montreal Impact	+110 11/10 2.1	+123 123/100 2.23	+123 123/100 2.23	+125 5/4 2.25	+124 31/25 2.24	+123 123/100 2.23
XDraw	+255 51/20 3.55	+260 13/5 3.6	+260 13/5 3.6	+270 27/10 3.7	+260 13/5 3.6	+260 13/5 3.6
2 Chicago Fire	+210 21/10 3.1	+209 209/100 3.09	+209 209/100 3.09	+195 39/20 2.95	+196 49/25 2.96	+209 209/100 3.09
1 Montreal Impact	-	-0.25 -110 0.91/1 1.91	-	-0.25 -105 0.95/1 1.95	-0.5 +118 59/50 2.18	0.25 -110 0.91/1 1.91
XDraw	-		-
2 Chicago Fire	-	0.25 -110 0.91/1 1.91	-	0.25 -115 0.87/1 1.87	0.5 -156 0.64/1 1.64	-0.25 -110 0.91/1 1.91
1 Montreal Impact	-	o3 -103 0.97/1 1.97	o3 -110 0.91/1 1.91	o3 -102 0.98/1 1.98	o2.5 -169 0.59/1 1.59	o3 -103 0.97/1 1.97
XDraw	-
2 Chicago Fire	-	u3 -118 0.85/1 1.85	u3 -120 0.83/1 1.83	u3 -118 0.85/1 1.85	u2.5 +127 127/100 2.27	u3 -118 0.85/1 1.85
Sat Sep 21st, 7:30pm ET
1 Columbus Crew SC	-141 0.71/1 1.71	-130 0.77/1 1.77	-128 0.78/1 1.78	-135 0.74/1 1.74	-135 0.74/1 1.74	-130 0.77/1 1.77
XDraw	+295 59/20 3.95	+300 3/1 4	+296 74/25 3.96	+310 31/10 4.1	+295 59/20 3.95	+300 3/1 4
2 Orlando City SC	+310 31/10 4.1	+325 13/4 4.25	+331 331/100 4.31	+330 33/10 4.3	+330 33/10 4.3	+325 13/4 4.25
1 Columbus Crew SC	-	-0.75 -105 0.95/1 1.95	-0.5 -133 0.75/1 1.75	-0.75 -108 0.93/1 1.93	-0.5 -141 0.71/1 1.71	-0.75 -105 0.95/1 1.95
XDraw	-
2 Orlando City SC	-	0.75 -115 0.87/1 1.87	0.5 +104 26/25 2.04	0.75 -112 0.89/1 1.89	0.5 +106 53/50 2.06	0.75 -115 0.87/1 1.87
1 Columbus Crew SC	-	o3 -110 0.91/1 1.91	o3 -115 0.87/1 1.87	o3 -110 0.91/1 1.91	o2.5 -179 0.56/1 1.56	o3 -110 0.91/1 1.91
XDraw	-
2 Orlando City SC	-	u3 -110 0.91/1 1.91	u3 -115 0.87/1 1.87	u3 -110 0.91/1 1.91	u2.5 +134 67/50 2.34	u3 -110 0.91/1 1.91
Sat Sep 21st, 8:30pm ET
1 Austin FC	+170 17/10 2.7	+180 9/5 2.8	+178 89/50 2.78	+175 7/4 2.75	+172 43/25 2.72	+180 9/5 2.8
XDraw	+230 23/10 3.3	+240 12/5 3.4	+247 247/100 3.47	+255 51/20 3.55		+240 12/5 3.4
2 Houston Dynamo	+145 29/20 2.45	+150 3/2 2.5	+151 151/100 2.51	+150 3/2 2.5	+149 149/100 2.49	+150 3/2 2.5
1 Austin FC	-	0 +100 1/1 2	0 -110 0.91/1 1.91	0 +100 1/1 2	0.5 -189 0.53/1 1.53	0 +100 1/1 2
XDraw	-
2 Houston Dynamo	-	0 -120 0.83/1 1.83	0 -120 0.83/1 1.83	0 -120 0.83/1 1.83	-0.5 +140 7/5 2.4	0 -120 0.83/1 1.83
1 Austin FC	-	o2.5 -120 0.83/1 1.83	o2.5 -120 0.83/1 1.83	o2.5 -118 0.85/1 1.85	o2.5 -123 0.81/1 1.81	o2.5 -120 0.83/1 1.83
XDraw	-
2 Houston Dynamo	-	u2.5 +100 1/1 2	u2.5 -110 0.91/1 1.91	u2.5 -102 0.98/1 1.98	u2.5 -108 0.93/1 1.93	u2.5 +100 1/1 2
Sat Sep 21st, 8:30pm ET
1 Nashville SC	+180 9/5 2.8	+190 19/10 2.9	+194 97/50 2.94	+195 39/20 2.95	+193 193/100 2.93	+190 19/10 2.9
XDraw	+230 23/10 3.3	+240 12/5 3.4	+239 239/100 3.39	+250 5/2 3.5	+246 123/50 3.46	+240 12/5 3.4
2 FC Cincinnati	+135 27/20 2.35	+144 36/25 2.44	+144 36/25 2.44	+135 27/20 2.35	+133 133/100 2.33	+144 36/25 2.44
1 Nashville SC	-	0.25 -130 0.77/1 1.77	0 +100 1/1 2	0.25 -122 0.82/1 1.82	0.5 -169 0.59/1 1.59	0.25 -130 0.77/1 1.77
XDraw	-
2 FC Cincinnati	-	-0.25 +110 11/10 2.1	0 -130 0.77/1 1.77	-0.25 +102 51/50 2.02	-0.5 +126 63/50 2.26	-0.25 +110 11/10 2.1
1 Nashville SC	-	o2.75 -103 0.97/1 1.97	o2.5 -125 0.8/1 1.8	o2.75 -102 0.98/1 1.98	o2.5 -133 0.75/1 1.75	o2.75 -103 0.97/1 1.97
XDraw	-
2 FC Cincinnati	-	u2.75 -118 0.85/1 1.85	u2.5 -105 0.95/1 1.95	u2.75 -118 0.85/1 1.85	u2.5 +101 101/100 2.01	u2.75 -118 0.85/1 1.85
Sat Sep 21st, 8:30pm ET
1 FC Dallas	+205 41/20 3.05	+214 107/50 3.14	+214 107/50 3.14	+210 21/10 3.1	+208 52/25 3.08	+214 107/50 3.14
XDraw	+270 27/10 3.7	+275 11/4 3.75	+275 11/4 3.75	+275 11/4 3.75	+265 53/20 3.65	+275 11/4 3.75
2 Los Angeles FC	+110 11/10 2.1	+115 23/20 2.15	+115 23/20 2.15	+120 6/5 2.2	+117 117/100 2.17	+115 23/20 2.15
1 FC Dallas	-	0.25 -104 0.96/1 1.96	0.5 -135 0.74/1 1.74	0.25 -108 0.93/1 1.93	0.5 -147 0.68/1 1.68	-0.25 -104 0.96/1 1.96
XDraw	-
2 Los Angeles FC	-	-0.25 -116 0.86/1 1.86	-0.5 +115 23/20 2.15	-0.25 -112 0.89/1 1.89	-0.5 +111 111/100 2.11	0.25 -116 0.86/1 1.86
1 FC Dallas	-	o2.75 -114 0.88/1 1.88	o3 +108 27/25 2.08	o2.75 -115 0.87/1 1.87	o2.5 -152 0.66/1 1.66	o2.75 -114 0.88/1 1.88
XDraw	-
2 Los Angeles FC	-	u2.75 -108 0.93/1 1.93	u3 -139 0.72/1 1.72	u2.75 -105 0.95/1 1.95	u2.5 +114 57/50 2.14	u2.75 -108 0.93/1 1.93
Sat Sep 21st, 8:30pm ET
1 Sporting Kansas City	-110 0.91/1 1.91	-104 0.96/1 1.96	-104 0.96/1 1.96	+100 1/1 2	-106 0.94/1 1.94	-104 0.96/1 1.96
XDraw	+280 14/5 3.8	+293 293/100 3.93	+293 293/100 3.93	+285 57/20 3.85	+290 29/10 3.9	+293 293/100 3.93
2 Minnesota United FC	+240 12/5 3.4	+250 5/2 3.5	+250 5/2 3.5	+245 49/20 3.45	+246 123/50 3.46	+250 5/2 3.5
1 Sporting Kansas City	-	-0.5 -104 0.96/1 1.96	-0.5 -104 0.96/1 1.96	-0.5 +100 1/1 2	-0.5 -111 0.9/1 1.9	-0.5 -104 0.96/1 1.96
XDraw	-
2 Minnesota United FC	-	0.5 -116 0.86/1 1.86	0.5 -114 0.88/1 1.88	0.5 -120 0.83/1 1.83	0.5 -119 0.84/1 1.84	0.5 -116 0.86/1 1.86
1 Sporting Kansas City	-	o3.25 +105 21/20 2.05	o3 -128 0.78/1 1.78	o3 -122 0.82/1 1.82	o3.5 +123 123/100 2.23	o3.25 +105 21/20 2.05
XDraw	-
2 Minnesota United FC	-	u3.25 -125 0.8/1 1.8	u3 -101 0.99/1 1.99	u3 +102 51/50 2.02	u3.5 -164 0.61/1 1.61	u3.25 -125 0.8/1 1.8
Sat Sep 21st, 9:30pm ET
1 Colorado Rapids	-141 0.71/1 1.71	-130 0.77/1 1.77	-133 0.75/1 1.75	-141 0.71/1 1.71	-143 0.7/1 1.7	-130 0.77/1 1.77
XDraw	+290 29/10 3.9	+300 3/1 4	+308 77/25 4.08	+320 16/5 4.2	+310 31/10 4.1	+300 3/1 4
2 Toronto FC	+310 31/10 4.1	+325 13/4 4.25	+331 331/100 4.31	+340 17/5 4.4	+340 17/5 4.4	+325 13/4 4.25
1 Colorado Rapids	-	-0.75 -105 0.95/1 1.95	-0.5 -135 0.74/1 1.74	-0.75 -112 0.89/1 1.89	-0.5 -147 0.68/1 1.68	-0.75 -105 0.95/1 1.95
XDraw	-
2 Toronto FC	-	0.75 -115 0.87/1 1.87	0.5 +105 21/20 2.05	0.75 -108 0.93/1 1.93	0.5 +111 111/100 2.11	0.75 -115 0.87/1 1.87
1 Colorado Rapids	-	o3 -118 0.85/1 1.85	o3 -118 0.85/1 1.85	o3 -118 0.85/1 1.85	o3.5 +127 127/100 2.27	o3 -118 0.85/1 1.85
XDraw	-
2 Toronto FC	-	u3 -103 0.97/1 1.97	u3 -114 0.88/1 1.88	u3 -102 0.98/1 1.98	u3.5 -169 0.59/1 1.59	u3 -103 0.97/1 1.97
Sat Sep 21st, 9:30pm ET
1 Real Salt Lake	-130 0.77/1 1.77	-125 0.8/1 1.8	-125 0.8/1 1.8	-125 0.8/1 1.8	-125 0.8/1 1.8	-125 0.8/1 1.8
XDraw	+310 31/10 4.1	+327 327/100 4.27	+330 33/10 4.3	+330 33/10 4.3	+320 16/5 4.2	+327 327/100 4.27
2 Portland Timbers	+275 11/4 3.75	+285 57/20 3.85	+280 14/5 3.8	+280 14/5 3.8	+275 11/4 3.75	+285 57/20 3.85
1 Real Salt Lake	-	-0.75 +102 51/50 2.02	-0.5 -125 0.8/1 1.8	-0.5 -120 0.83/1 1.83	-0.5 -130 0.77/1 1.77	-0.75 +102 51/50 2.02
XDraw	-
2 Portland Timbers	-	0.75 -122 0.82/1 1.82	0.5 -105 0.95/1 1.95	0.5 +100 1/1 2	0.5 -102 0.98/1 1.98	0.75 -122 0.82/1 1.82
1 Real Salt Lake	-	o3.5 -103 0.97/1 1.97	o3.5 -112 0.89/1 1.89	o3.5 -102 0.98/1 1.98	o3.5 -106 0.94/1 1.94	o3.5 -103 0.97/1 1.97
XDraw	-
2 Portland Timbers	-	u3.5 -118 0.85/1 1.85	u3.5 -118 0.85/1 1.85	u3.5 -118 0.85/1 1.85	u3.5 -125 0.8/1 1.8	u3.5 -118 0.85/1 1.85
Sat Sep 21st, 10:30pm ET
1 LA Galaxy	-125 0.8/1 1.8	-115 0.87/1 1.87	-115 0.87/1 1.87	-115 0.87/1 1.87	-115 0.87/1 1.87	-115 0.87/1 1.87
XDraw	+285 57/20 3.85	+295 59/20 3.95	+295 59/20 3.95	+300 3/1 4	+290 29/10 3.9	+295 59/20 3.95
2 Vancouver Whitecaps FC	+275 11/4 3.75	+282 141/50 3.82	+282 141/50 3.82	+270 27/10 3.7	+270 27/10 3.7	+282 141/50 3.82
1 LA Galaxy	-	-0.5 -115 0.87/1 1.87	-0.5 -115 0.87/1 1.87	-0.5 -112 0.89/1 1.89	-0.5 -120 0.83/1 1.83	0.5 -115 0.87/1 1.87
XDraw	-
2 Vancouver Whitecaps FC	-	0.5 -105 0.95/1 1.95	0.5 -115 0.87/1 1.87	0.5 -108 0.93/1 1.93	0.5 -110 0.91/1 1.91	-0.5 -105 0.95/1 1.95
1 LA Galaxy	-	o3.25 -110 0.91/1 1.91	o3.5 +103 103/100 2.03	o3.25 -108 0.93/1 1.93	o3.5 +110 11/10 2.1	o3.25 -110 0.91/1 1.91
XDraw	-
2 Vancouver Whitecaps FC	-	u3.25 -110 0.91/1 1.91	u3.5 -133 0.75/1 1.75	u3.25 -112 0.89/1 1.89	u3.5 -147 0.68/1 1.68	u3.25 -110 0.91/1 1.91
Sat Sep 21st, 10:30pm ET
1 San Jose Earthquakes	+145 29/20 2.45	+156 39/25 2.56	+156 39/25 2.56	+150 3/2 2.5	+149 149/100 2.49	+156 39/25 2.56
XDraw	+285 57/20 3.85	+297 297/100 3.97	+292 73/25 3.92	+295 59/20 3.95	+285 57/20 3.85	+297 297/100 3.97
2 St. Louis City SC	+140 7/5 2.4	+146 73/50 2.46	+149 149/100 2.49	+150 3/2 2.5	+150 3/2 2.5	+146 73/50 2.46
1 San Jose Earthquakes	-	0 -108 0.93/1 1.93	0 -108 0.93/1 1.93	0 -110 0.91/1 1.91	-0.5 +141 141/100 2.41	0 -108 0.93/1 1.93
XDraw	-
2 St. Louis City SC	-	0 -112 0.89/1 1.89	0 -112 0.89/1 1.89	0 -110 0.91/1 1.91	0.5 -189 0.53/1 1.53	0 -112 0.89/1 1.89
1 San Jose Earthquakes	-	o3.25 -110 0.91/1 1.91	o3.5 +105 21/20 2.05	o3.25 -105 0.95/1 1.95	o3.5 +112 28/25 2.12	o3.25 -110 0.91/1 1.91
XDraw	-
2 St. Louis City SC	-	u3.25 -110 0.91/1 1.91	u3.5 -135 0.74/1 1.74	u3.25 -115 0.87/1 1.87	u3.5 -149 0.67/1 1.67	u3.25 -110 0.91/1 1.91
Sun Sep 22nd, 6:15pm ET
1 Philadelphia Union	-125 0.8/1 1.8	-114 0.88/1 1.88	-	-115 0.87/1 1.87	-118 0.85/1 1.85	-114 0.88/1 1.88
XDraw	+285 57/20 3.85	+300 3/1 4	-	+320 16/5 4.2	+300 3/1 4	+300 3/1 4
2 D.C. United	+260 13/5 3.6	+274 137/50 3.74	-	+265 53/20 3.65	+260 13/5 3.6	+274 137/50 3.74
1 Philadelphia Union	-	-0.5 -114 0.88/1 1.88	-	-0.5 -112 0.89/1 1.89	-0.5 -123 0.81/1 1.81	0.5 -114 0.88/1 1.88
XDraw	-		-
2 D.C. United	-	0.5 -106 0.94/1 1.94	-	0.5 -108 0.93/1 1.93	0.5 -111 0.9/1 1.9	-0.5 -106 0.94/1 1.94
1 Philadelphia Union	-	o3.25 -110 0.91/1 1.91	-	o3.25 -105 0.95/1 1.95	o3.5 +109 109/100 2.09	o3.25 -110 0.91/1 1.91
XDraw	-		-
2 D.C. United	-	u3.25 -110 0.91/1 1.91	-	u3.25 -115 0.87/1 1.87	u3.5 -152 0.66/1 1.66	u3.25 -110 0.91/1 1.91

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Learn How to Read MLS Betting Odds

MLS Odds are shown in three different ways:

• American
• Decimal
• Fractional

Each of these football soccer odds has its specifics, and we are here to explain all you need to know to function properly and have successful betting.

American MLS Betting Odds

These odds go with the top tier of US soccer. American odds for American football are logical on some level. However, some people don’t live in the States but often bet on MLS.

These Major League soccer odds are also called moneylines.

What are the two rules you need to know here:

1. Negative odds are marking favorites or outcomes with higher probabilities of happening.
2. Everything revolves around $100.

Here is an example to start with:

• In this example, the favorite is Inter Miami, and the higher the number, the bigger the favorites.
• It is the opposite in the case of positive odds. The bigger the number, the less likely that bet will happen. The example shows that a draw at +200 has the slightest chance of occurring.

To understand how to calculate profits in betting, it’s essential to know that everything revolves around $100.

• If the moneyline is negative, it means that you’re betting on the favorite team, and the value shows how much money you need to wager to win $100. For instance, in this case, if you bet on Inter, you’d need to stake $150 to win $100.
• On the other hand, if you bet on the underdog team, Austin FC, and the moneyline is positive, the value indicates how much profit you’d make if you bet $100. In this case, your clean profit would be $180.

There are situations when you have two or more positive or negative odds, like when the MLS betting lines show the spread.

Spreads are introduced to level the odds. Inter is stronger than Austin FC, so the bookies are adding a 1.5-goal spread here.

• Inter -1.5 -110
• Austin FC +1.5 -110

It means that Inter needs to cover that spread, which, in simple words, means they have to beat Austin by at least a two-goal margin.

On the other side, Austin can afford to lose by one goal, and betting on them would still be successful.

Decimal MLS Betting Odds

The decimal format is the most commonly used method for presenting odds. In decimal odds, the odds are presented as a decimal number, which represents the total payout a bettor will receive, including their original stake, for every unit wagered.

For example, if the odds are 2.50, a bettor would receive a total payout of 2.50 times their original stake if their bet wins.

Here’s an example:

In this case, LA FC appears to be the obvious favorite, as their odds are presented with the lowest number.

It’s worth noting that odds are typically represented as a decimal or a fraction, and the closer the odds are to the number one, the bigger the favorite that team is considered to be.

On the other hand, Minnesota United is currently at 3.50 odds, which means that they are seen as less likely to win the match.

It’s important to remember that the higher the odds, the more unrealistic the chances of that team winning are perceived to be.

When calculating profits using decimal odds, the process differs from that of moneylines. However, the formula is relatively straightforward and can be broken down into two parts:

1. Multiply the stake by the odds.
2. Subtract the total stake from the overall winnings.

To illustrate, let’s say we’re placing a $100 bet on LA FC to win at odds of 1.40.

• Step one:

$100 x 1.40 = $140

• Step two:

$140 – $100 = $40. This is our profit.

Fractional MLS Betting Odds

The last Major League Soccer betting odds that need to be explained are fractional.

This way of presenting the odds is dominant in the United Kingdom and the Commonwealth, meaning it covers a massive area. We always say that MLS fractional odds look more complex than they really are.

Here is an example:

How to read these fractional odds?

The numerator in Columbus fraction is 3, and the denominator is 5.

• If the numerator is less than the denominator, then the team is favored, and the outcome is more probable.
• Contrary to that, the greater the numerator is compared to the denominator, those picks have a lower chance of turning out as winning. 

The formula for calculating the profits is pretty straightforward.

• Step one: Multiply the numerator by the stakes.
• Step two: Divide that sum by the denominator.

We will show how the formula works in that example.

Let’s say we bet $100 on Columbus (odds:3/5).

• Step one: $100×3=$300
• Step two: $300/5=$60

The result is a clean profit, so there aren’t any other steps in the process.

Check out The Latest Soccer Picks and expand your knowledge of the game.

Now that we have all the soccer betting odds explained, let’s dive into our MLS Betting Tips. These valuable tips can help you win big, so make sure to check them out.

MLS Betting Tips

MLS is a unique competition, and as such, it has certain specifics compared to other leagues. Before Messi’s arrival, just a few cared about this, but since one of the GOATs came to Inter, the pundits have become more thorough and systematic in their analyses. 

They are now examining MLS betting lines, results patterns, traditions, off-field factors, and various other elements. We will mention only a few of them here, picking the ones we believe are the most important.

• Conference matchups: The clashes between teams from the same conference are always more tense than others, and the reason for that is the playoffs. A tiebreaker could easily decide who goes to the postseason and who isn’t. You need to know this, and you have to look at the previous clash, if there is any, because one team might have an edge, and the other has to chase the better head-to-head record. MLS lines can be confusing in cases like these because they aren’t showing the big picture.
• Turf Type: Several of the MLS franchises don’t have natural grass but artificial turf. This is very important because some teams are more offensive-minded, and their style of play is faster and more aggressive. They like playing on artificial turf, where the overall pace and the flow of the game are much higher and faster. Vancouver, Seattle, San Jose, and Portland all of them don’t have natural grass but some other hybrid or completely artificial surface. This info is precious for those who bet on MLS.
• Weather: As always, we strongly recommend checking the weather. Some teams, like Seattle or Chicago, are located in places where weather can have a massive impact on the game. It doesn’t mean you need to check only these two places but all the matches. When there is rain or extreme heat, players tend to play worse than in normal conditions.

Updated on  April, 2024

by Lead Writer

Dan Eisenberg

Lead Writer Dan Eisenberg

Dan has been an avid sports psychologist and meteorologist for the latter portion of his life. He's a proud advocate of sports in youth clubs and had an incredibly rewarding experience as a consultant for his home state's Collegiate Athletic Board before starting OffshoreSportsbooks.com - a place to share his in-depth knowledge and sports expertise to a wider audience.

Fact Checked by

Tom McNeil

Author Tom McNeil

Tom is a long suffering St Johnstone fan with a love for football on both sides of the Atlantic, having developed a love for the New England Patriots and the NFL. Tom is also a former football scout with an unhealthy amount of knowledge about Scottish football.

Updated on April, 2024