Ligue 1 Odds

Looking for information before placing a bet on Ligue 1?

There has always been a great love for Ligue 1 betting, and it has become one of the most popular in Europe. Stars like Kylian Mbappe draw attention, but even before him, people enjoyed it. It can be very profitable.

If you’re looking for information on how to succeed in this activity, you’ve come to the right place.

Here you’ll find the latest Ligue 1 odds from The Best Soccer Betting Sites.

With our Ligue 1 odds table, you can easily compare odds from popular sportsbooks so you can be confident when placing your bets.

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

• Ligue 1 Odds
• How to read Ligue 1 Odds
• Ligue 1 Betting Tips

Ligue 1 Betting Odds

American Fractional Decimal

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Moneyline

Fri Sep 20th, 2:45pm ET
1 Nice	-175 0.57/1 1.57	-169 0.59/1 1.59	-169 0.59/1 1.59	-169 0.59/1 1.59	-172 0.58/1 1.58	-
XDraw	+310 31/10 4.1	+322 161/50 4.22	+320 16/5 4.2	+320 16/5 4.2	+295 59/20 3.95	-
2 Saint Etienne	+475 19/4 5.75	+488 122/25 5.88	+440 22/5 5.4	+440 22/5 5.4	+440 22/5 5.4	-
1 Nice	-	-1 +100 1/1 2	-1 -108 0.93/1 1.93	-1 +102 51/50 2.02	-0.5 -175 0.57/1 1.57	-
XDraw	-					-
2 Saint Etienne	-	1 -120 0.83/1 1.83	1 -122 0.82/1 1.82	1 -122 0.82/1 1.82	0.5 +131 131/100 2.31	-
1 Nice	-	o2.5 -120 0.83/1 1.83	o2.5 -122 0.82/1 1.82	o2.5 -122 0.82/1 1.82	o2.5 -128 0.78/1 1.78	-
XDraw	-					-
2 Saint Etienne	-	u2.5 +101 101/100 2.01	u2.5 -108 0.93/1 1.93	u2.5 +102 51/50 2.02	u2.5 -103 0.97/1 1.97	-
Sat Sep 21st, 11:00am ET
1 Lille	-149 0.67/1 1.67	-143 0.7/1 1.7	-147 0.68/1 1.68	-145 0.69/1 1.69	-147 0.68/1 1.68	-
XDraw	+295 59/20 3.95	+298 149/50 3.98	+296 74/25 3.96	+300 3/1 4	+285 57/20 3.85	-
2 Strasbourg	+400 4/1 5	+410 41/10 5.1	+400 4/1 5	+370 37/10 4.7	+370 37/10 4.7	-
1 Lille	-	-0.75 -116 0.86/1 1.86	-0.5 -145 0.69/1 1.69	-0.75 -115 0.87/1 1.87	-0.5 -152 0.66/1 1.66	-
XDraw	-					-
2 Strasbourg	-	0.75 -104 0.96/1 1.96	0.5 +115 23/20 2.15	0.75 -105 0.95/1 1.95	0.5 +114 57/50 2.14	-
1 Lille	-	o2.5 -122 0.82/1 1.82	o2.5 -118 0.85/1 1.85	o2.5 -122 0.82/1 1.82	o2.5 -127 0.79/1 1.79	-
XDraw	-					-
2 Strasbourg	-	u2.5 +102 51/50 2.02	u2.5 -114 0.88/1 1.88	u2.5 +102 51/50 2.02	u2.5 -104 0.96/1 1.96	-
Sat Sep 21st, 1:00pm ET
1 Rennes	+140 7/5 2.4	+145 29/20 2.45	+135 27/20 2.35	+135 27/20 2.35	+133 133/100 2.33	-
XDraw	+230 23/10 3.3	+231 231/100 3.31	+245 49/20 3.45	+255 51/20 3.55	+240 12/5 3.4	-
2 RC Lens	+205 41/20 3.05	+208 52/25 3.08	+195 39/20 2.95	+190 19/10 2.9	+188 47/25 2.88	-
1 Rennes	-	-0.25 +105 21/20 2.05	0 -139 0.72/1 1.72	-0.25 +105 21/20 2.05	-0.5 +127 127/100 2.27	-
XDraw	-					-
2 RC Lens	-	0.25 -125 0.8/1 1.8	0 +109 109/100 2.09	0.25 -125 0.8/1 1.8	0.5 -172 0.58/1 1.58	-
1 Rennes	-	o2.25 -125 0.8/1 1.8	o2.5 -105 0.95/1 1.95	o2.5 +105 21/20 2.05	o2.5 -101 0.99/1 1.99	-
XDraw	-					-
2 RC Lens	-	u2.25 +105 21/20 2.05	u2.5 -125 0.8/1 1.8	u2.5 -125 0.8/1 1.8	u2.5 -132 0.76/1 1.76	-
Sat Sep 21st, 3:00pm ET
1 Stade de Reims	+550 11/2 6.5	+582 291/50 6.82	+574 287/50 6.74	+525 21/4 6.25	+530 53/10 6.3	-
XDraw	+400 4/1 5	+409 409/100 5.09	+401 401/100 5.01	+400 4/1 5	+380 19/5 4.8	-
2 Paris Saint Germain	-233 0.43/1 1.43	-227 0.44/1 1.44	-233 0.43/1 1.43	-233 0.43/1 1.43	-233 0.43/1 1.43	-
1 Stade de Reims	-	1.25 -112 0.89/1 1.89	1.5 -135 0.74/1 1.74	1.25 -110 0.91/1 1.91	1.5 -147 0.68/1 1.68	-
XDraw	-					-
2 Paris Saint Germain	-	-1.25 -108 0.93/1 1.93	-1.5 +105 21/20 2.05	-1.25 -110 0.91/1 1.91	-1.5 +110 11/10 2.1	-
1 Stade de Reims	-	o3 -122 0.82/1 1.82	o3 -118 0.85/1 1.85	o3 -118 0.85/1 1.85	o3.5 +128 32/25 2.28	-
XDraw	-					-
2 Paris Saint Germain	-	u3 +102 51/50 2.02	u3 -112 0.89/1 1.89	u3 -102 0.98/1 1.98	u3.5 -172 0.58/1 1.58	-
Sun Sep 22nd, 9:00am ET
1 AS Monaco	-270 0.37/1 1.37	-270 0.37/1 1.37	-	-278 0.36/1 1.36	-278 0.36/1 1.36	-
XDraw	+425 17/4 5.25	+437 437/100 5.37	-	+420 21/5 5.2	+400 4/1 5	-
2 Le Havre	+700 7/1 8	+726 363/50 8.26	-	+675 27/4 7.75	+630 63/10 7.3	-
1 AS Monaco	-	-1.5 +102 51/50 2.02	-	-1.5 +100 1/1 2	-1.5 -102 0.98/1 1.98	-
XDraw	-		-			-
2 Le Havre	-	1.5 -122 0.82/1 1.82	-	1.5 -120 0.83/1 1.83	1.5 -130 0.77/1 1.77	-
1 AS Monaco	-	o3 -114 0.88/1 1.88	-	o3 -108 0.93/1 1.93	o2.5 -179 0.56/1 1.56	-
XDraw	-		-			-
2 Le Havre	-	u3 -106 0.94/1 1.94	-	u3 -112 0.89/1 1.89	u2.5 +133 133/100 2.33	-
Sun Sep 22nd, 11:00am ET
1 Angers	+220 11/5 3.2	+224 56/25 3.24	-	+210 21/10 3.1	+204 51/25 3.04	-
XDraw	+210 21/10 3.1	+216 54/25 3.16	-	+230 23/10 3.3	+220 11/5 3.2	-
2 Nantes	+145 29/20 2.45	+144 36/25 2.44	-	+135 27/20 2.35	+133 133/100 2.33	-
1 Angers	-	0.25 -123 0.81/1 1.81	-	0.25 -122 0.82/1 1.82	0.5 -172 0.58/1 1.58	-
XDraw	-		-			-
2 Nantes	-	-0.25 +104 26/25 2.04	-	-0.25 +102 51/50 2.02	-0.5 +128 32/25 2.28	-
1 Angers	-	o2.25 +102 51/50 2.02	-	o2.25 +100 1/1 2	o2.5 +123 123/100 2.23	-
XDraw	-		-			-
2 Nantes	-	u2.25 -122 0.82/1 1.82	-	u2.25 -120 0.83/1 1.83	u2.5 -164 0.61/1 1.61	-
Sun Sep 22nd, 11:00am ET
1 Montpellier	+130 13/10 2.3	+135 27/20 2.35	-	+125 5/4 2.25	+126 63/50 2.26	-
XDraw	+235 47/20 3.35	+240 12/5 3.4	-	+245 49/20 3.45	+234 117/50 3.34	-
2 Auxerre	+215 43/20 3.15	+217 217/100 3.17	-	+215 43/20 3.15	+204 51/25 3.04	-
1 Montpellier	-	-0.25 +100 1/1 2	-	-0.25 -108 0.93/1 1.93	-0.5 +121 121/100 2.21	-
XDraw	-		-			-
2 Auxerre	-	0.25 -120 0.83/1 1.83	-	0.25 -112 0.89/1 1.89	0.5 -161 0.62/1 1.62	-
1 Montpellier	-	o2.75 -106 0.94/1 1.94	-	o2.75 -108 0.93/1 1.93	o2.5 -139 0.72/1 1.72	-
XDraw	-		-			-
2 Auxerre	-	u2.75 -114 0.88/1 1.88	-	u2.75 -112 0.89/1 1.89	u2.5 +105 21/20 2.05	-
Sun Sep 22nd, 11:00am ET
1 Brest	+115 23/20 2.15	+118 59/50 2.18	-	+120 6/5 2.2	+115 23/20 2.15	-
XDraw	+250 5/2 3.5	+251 251/100 3.51	-	+255 51/20 3.55	+242 121/50 3.42	-
2 Toulouse	+235 47/20 3.35	+244 61/25 3.44	-	+225 9/4 3.25	+220 11/5 3.2	-
1 Brest	-	-0.25 -115 0.87/1 1.87	-	-0.25 -112 0.89/1 1.89	-0.5 +111 111/100 2.11	-
XDraw	-		-			-
2 Toulouse	-	0.25 -105 0.95/1 1.95	-	0.25 -108 0.93/1 1.93	0.5 -147 0.68/1 1.68	-
1 Brest	-	o2.5 -102 0.98/1 1.98	-	o2.5 -108 0.93/1 1.93	o2.5 -114 0.88/1 1.88	-
XDraw	-		-			-
2 Toulouse	-	u2.5 -118 0.85/1 1.85	-	u2.5 -112 0.89/1 1.89	u2.5 -118 0.85/1 1.85	-
Sun Sep 22nd, 2:45pm ET
1 Lyon	+185 37/20 2.85	+190 19/10 2.9	-	+190 19/10 2.9	+182 91/50 2.82	-
XDraw	+275 11/4 3.75	+283 283/100 3.83	-	+285 57/20 3.85	+270 27/10 3.7	-
2 Marseille	+125 5/4 2.25	+133 133/100 2.33	-	+125 5/4 2.25	+120 6/5 2.2	-
1 Lyon	-	0.25 -120 0.83/1 1.83	-	0.25 -118 0.85/1 1.85	0.5 -161 0.62/1 1.62	-
XDraw	-		-			-
2 Marseille	-	-0.25 +100 1/1 2	-	-0.25 -102 0.98/1 1.98	-0.5 +115 23/20 2.15	-
1 Lyon	-	o3 -114 0.88/1 1.88	-	o3 -108 0.93/1 1.93	o2.5 -182 0.55/1 1.55	-
XDraw	-		-			-
2 Marseille	-	u3 -106 0.94/1 1.94	-	u3 -112 0.89/1 1.89	u2.5 +130 13/10 2.3	-
Fri Sep 27th, 1:00pm ET
1 Auxerre	+180 9/5 2.8	-	-	+180 9/5 2.8	+175 7/4 2.75	-
XDraw	+225 9/4 3.25	-	-	+245 49/20 3.45	+232 58/25 3.32	-
2 Brest	+145 29/20 2.45	-	-	+145 29/20 2.45	+141 141/100 2.41	-
1 Auxerre	-	-	-	0 +105 21/20 2.05	0.5 -189 0.53/1 1.53	-
XDraw	-	-	-			-
2 Brest	-	-	-	0 -125 0.8/1 1.8	-0.5 +134 67/50 2.34	-
1 Auxerre	-	-	-	o2.5 -110 0.91/1 1.91	o2.5 -118 0.85/1 1.85	-
XDraw	-	-	-			-
2 Brest	-	-	-	u2.5 -110 0.91/1 1.91	u2.5 -118 0.85/1 1.85	-
Fri Sep 27th, 3:00pm ET
1 Paris Saint Germain	-270 0.37/1 1.37	-	-	-238 0.42/1 1.42	-250 0.4/1 1.4	-
XDraw	+425 17/4 5.25	-	-	+440 22/5 5.4	+400 4/1 5	-
2 Rennes	+550 11/2 6.5	-	-	+500 5/1 6	+500 5/1 6	-
1 Paris Saint Germain	-	-	-	-1.25 -118 0.85/1 1.85	-1.5 -101 0.99/1 1.99	-
XDraw	-	-	-			-
2 Rennes	-	-	-	1.25 -102 0.98/1 1.98	1.5 -137 0.73/1 1.73	-
1 Paris Saint Germain	-	-	-	o3.5 +102 51/50 2.02	o3.5 -105 0.95/1 1.95	-
XDraw	-	-	-			-
2 Rennes	-	-	-	u3.5 -122 0.82/1 1.82	u3.5 -132 0.76/1 1.76	-
Sat Sep 28th, 11:00am ET
1 RC Lens	-130 0.77/1 1.77	-	-	-125 0.8/1 1.8	-128 0.78/1 1.78	-
XDraw	+260 13/5 3.6	-	-	+265 53/20 3.65	+246 123/50 3.46	-
2 Nice	+340 17/5 4.4	-	-	+350 7/2 4.5	+330 33/10 4.3	-
1 RC Lens	-	-	-	-0.5 -120 0.83/1 1.83	-0.5 -132 0.76/1 1.76	-
XDraw	-	-	-			-
2 Nice	-	-	-	0.5 +100 1/1 2	0.5 -105 0.95/1 1.95	-
1 RC Lens	-	-	-	o2.25 -118 0.85/1 1.85	o2.5 +103 103/100 2.03	-
XDraw	-	-	-			-
2 Nice	-	-	-	u2.25 -102 0.98/1 1.98	u2.5 -143 0.7/1 1.7	-
Sat Sep 28th, 1:00pm ET
1 Le Havre	+330 33/10 4.3	-	-	+320 16/5 4.2	+300 3/1 4	-
XDraw	+265 53/20 3.65	-	-	+275 11/4 3.75	+260 13/5 3.6	-
2 Lille	-130 0.77/1 1.77	-	-	-120 0.83/1 1.83	-123 0.81/1 1.81	-
1 Le Havre	-	-	-	0.5 -102 0.98/1 1.98	0.5 -108 0.93/1 1.93	-
XDraw	-	-	-			-
2 Lille	-	-	-	-0.5 -118 0.85/1 1.85	-0.5 -128 0.78/1 1.78	-
1 Le Havre	-	-	-	o2.5 -102 0.98/1 1.98	o2.5 -110 0.91/1 1.91	-
XDraw	-	-	-			-
2 Lille	-	-	-	u2.5 -118 0.85/1 1.85	u2.5 -125 0.8/1 1.8	-
Sat Sep 28th, 3:00pm ET
1 AS Monaco	-	-	-	-233 0.43/1 1.43	-244 0.41/1 1.41	-
XDraw	-	-	-	+390 39/10 4.9	+360 18/5 4.6	-
2 Montpellier	-	-	-	+575 23/4 6.75	+570 57/10 6.7	-
1 AS Monaco	-	-	-	-1.25 -108 0.93/1 1.93	-1.5 +109 109/100 2.09	-
XDraw	-	-	-			-
2 Montpellier	-	-	-	1.25 -112 0.89/1 1.89	1.5 -152 0.66/1 1.66	-
1 AS Monaco	-	-	-	o2.75 -120 0.83/1 1.83	o2.5 -161 0.62/1 1.62	-
XDraw	-	-	-			-
2 Montpellier	-	-	-	u2.75 +100 1/1 2	u2.5 +115 23/20 2.15	-
Sun Sep 29th, 9:00am ET
1 Toulouse	-	-	-	+165 33/20 2.65	+162 81/50 2.62	-
XDraw	-	-	-	+245 49/20 3.45	+228 57/25 3.28	-
2 Lyon	-	-	-	+160 8/5 2.6	+154 77/50 2.54	-
1 Toulouse	-	-	-	0 -118 0.85/1 1.85	-0.5 +141 141/100 2.41	-
XDraw	-	-	-			-
2 Lyon	-	-	-	0 -102 0.98/1 1.98	0.5 -200 0.5/1 1.5	-
1 Toulouse	-	-	-	o2.5 -105 0.95/1 1.95	o2.5 -111 0.9/1 1.9	-
XDraw	-	-	-			-
2 Lyon	-	-	-	u2.5 -115 0.87/1 1.87	u2.5 -123 0.81/1 1.81	-
Sun Sep 29th, 11:00am ET
1 Angers	+210 21/10 3.1	-	-	+200 2/1 3	+195 39/20 2.95	-
XDraw	+225 9/4 3.25	-	-	+250 5/2 3.5	+232 58/25 3.32	-
2 Stade de Reims	+130 13/10 2.3	-	-	+130 13/10 2.3	+127 127/100 2.27	-
1 Angers	-	-	-	0.25 -120 0.83/1 1.83	0.5 -169 0.59/1 1.59	-
XDraw	-	-	-			-
2 Stade de Reims	-	-	-	-0.25 +100 1/1 2	-0.5 +122 61/50 2.22	-
1 Angers	-	-	-	o2.5 -105 0.95/1 1.95	o2.5 -111 0.9/1 1.9	-
XDraw	-	-	-			-
2 Stade de Reims	-	-	-	u2.5 -115 0.87/1 1.87	u2.5 -123 0.81/1 1.81	-
Sun Sep 29th, 11:00am ET
1 Nantes	+100 1/1 2	-	-	+105 21/20 2.05	+102 51/50 2.02	-
XDraw	+235 47/20 3.35	-	-	+255 51/20 3.55	+238 119/50 3.38	-
2 Saint Etienne	+265 53/20 3.65	-	-	+255 51/20 3.55	+246 123/50 3.46	-
1 Nantes	-	-	-	-0.25 -128 0.78/1 1.78	-0.5 -102 0.98/1 1.98	-
XDraw	-	-	-			-
2 Saint Etienne	-	-	-	0.25 +108 27/25 2.08	0.5 -135 0.74/1 1.74	-
1 Nantes	-	-	-	o2.5 +102 51/50 2.02	o2.5 -105 0.95/1 1.95	-
XDraw	-	-	-			-
2 Saint Etienne	-	-	-	u2.5 -122 0.82/1 1.82	u2.5 -132 0.76/1 1.76	-
Sun Sep 29th, 2:45pm ET
1 Strasbourg	+275 11/4 3.75	-	-	+265 53/20 3.65	+260 13/5 3.6	-
XDraw	+270 27/10 3.7	-	-	+290 29/10 3.9	+270 27/10 3.7	-
2 Marseille	-115 0.87/1 1.87	-	-	-110 0.91/1 1.91	-114 0.88/1 1.88	-
1 Strasbourg	-	-	-	0.5 -115 0.87/1 1.87	0.5 -118 0.85/1 1.85	-
XDraw	-	-	-			-
2 Marseille	-	-	-	-0.5 -105 0.95/1 1.95	-0.5 -118 0.85/1 1.85	-
1 Strasbourg	-	-	-	o2.75 -112 0.89/1 1.89	o2.5 -149 0.67/1 1.67	-
XDraw	-	-	-			-
2 Marseille	-	-	-	u2.75 -108 0.93/1 1.93	u2.5 +108 27/25 2.08	-

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Learn How to read Ligue 1 Odds

Ligue 1 odds are presented as:

• American
• Decimal
• Fractional

In the following few lines, we will provide you with a detailed guide on how to read each method. 

American Odds

• American odds, often referred to as moneyline odds, are a popular way of representing the Ligue 1 odds of a bet in American sports betting.
• These odds can be positive or negative, indicating either the potential profit or the amount required to stake.
• A positive moneyline indicates the potential profit of a $100 bet.
• A negative moneyline represents the amount needed to wager to make a $100 profit.

This system allows bettors to quickly assess their potential winnings or losses for a given bet.

Here is an example:

• When the moneyline is negative, it shows the favorite. The higher the negative number, the more likely that outcome is to happen.
• The higher the positive moneyline is, the less likely it is for that bet to occur, but the profit is also higher.

When betting on PSG’s triumph, it indicates that we must stake $250 to win $100.

Conversely, if you bet $100 on Lyon’s win, you can earn $360.

Decimal Odds

Decimal Ligue 1 betting odds are commonly used by sportsbooks around the world. Knowing how to read and calculate profits from these odds is important, as they differ from American or fractional odds.

For instance, let’s consider the match between Marseille and Monaco:

Marseille is the favored team, indicated by their lower decimal odds. The lower the decimal odds, the bigger the favorite team, but the profits are also lower.

To calculate your net income, follow these steps:

Suppose you bet $100 on Marseille (1.75) to win.

• Step one: Calculate the gross income by multiplying the odds by the stake:

1.75 x $100 = $175

• Step two: Subtract the stake from the gross income to determine the clean profit:

$175 – $100 = $75

Here is how that looks when we bet $100 on Monaco’s success.

• First, we multiply their decimal odds with the stake:

3.55 x $100 = $355

• Then, deduct the stake from the gross income to obtain the clean profit:

$355 – $100 = $255

Fractional Odds

Presenting odds through fractions is standard in the United Kingdom and other countries influenced by the British crown. Before we start anything, we have to say a few words about the fraction itself.

It consists of two elements: the numerator and the denominator. In the fraction 1/2, the numerator is the first number (1), and the denominator is the second number (2).

Here is an example: 

Lille is the favorite here. Why?

• Because the numerator is smaller than the denominator, their ratio is below 1, which tells us the hosts are favorites.
• On the other side, the draw and Rennes’ victory have the numerator higher than the denominator, with their fraction giving the result bigger than 1.

Here is how to calculate the profits here. There is just one formula you need to know, and it’s not tough at all:

(stake x numerator) / denominator = profit

All you need to do is multiply the numerator by the stake and then split the whole sum by the denominator.

• 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.

We will take $100 as the stake. In this case, we will pick Lille (3/4) to win.

($100×3)/4=$300/4=$75, which would be our profit.

If we pick Rennes’ victory:

($100×5)/4=$500/4=$125

There is no need for any further steps. The result shows us a clear profit, so there is no need for deductions.

Ligue 1 Betting Tips

After reading the previous part of the article, we are sure you know how to read Ligue 1 odds, but that’s not all we want to show you. Money is at the center of everything, so if you like to earn while watching the top flight of French football, stay tuned for a couple of Ligue 1 betting tips.

You must be aware of a few specifics because they only appear in this league.

• African Cup of Nations Effect: French teams have the most players coming from African countries, and their squads have numerous national team members. So when the AFCON starts, which is usually early on in the calendar year, with the national leagues in action, a huge number of players leave French clubs. Some of the key stars in various teams are unavailable, which reflects their performances. So do know this when betting on French Ligue 1.
• Weather: France is a big country, and as such, it has certain specifics regarding weather. The teams located near the Atlantic Ocean higher up north often play in the rain, which can be tricky for players. Meanwhile, those who are out in the south encounter extreme heat. 
• Distance: As stated, France is big. For instance, there are more than 1120 kilometers between Marseille and Brest. When some team from Corsica plays, that’s even longer, particularly when there are mid-week rounds or some international obligations. All this can have a significant impact.

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