Ligue 1 tackles and fouls props by player

PickFinder logo

PickFinder Team•Updated:

For Ligue 1 tackles props, Vanderson de Oliveira Campos (AS Monaco) makes the most tackles among starters: 3.93 per 90, clearing 1.5 tackles in 89% of 9 starts. Pathé Mboup commits the most fouls (3.43 per 90) and Lamine Camara draws the most (3.67).

Possession gives tackles a small push here: opponents made 18.0 tackles a match against teams with 60% or more possession, and 14.7 against teams with under 40% (correlation 0.21). Fouls follow it even less, at 0.1.

Association Jeunesse Auxerroise's opponents make the most tackles, 23.0 a match, against 45.8% possession. Based on 80 Ligue 1 matches in the 2026-27 season, Aug 21, 2026 to Nov 1, 2026.

Vanderson de Oliveira Campos: most tackles per 90
3.93
Pathé Mboup: most fouls per 90
3.43
Lamine Camara: most fouls drawn per 90
3.67
Vítor Machado Ferreira: most pass attempts per 90
112.4

Ligue 1 tackles per 90 and hit rates

Starts only, players with 4 or more starts. Each rung is the share of starts over that line.

Ligue 1 tackles per 90 and hit rates
Vanderson de Oliveira CamposAS Monaco, D93.933.6789%89%78%44%4 3 5 3 7
Hugo MagnettiStade Brestois 29, M63.793.6783%83%83%50%3 6 0 6 3
Cristian CásseresToulouse, M93.783.78100%100%67%44%3 2 2 4 2
Désiré DouéParis Saint-Germain, F53.522.80100%80%60%40%3 2 4 1 4
Antoine MilleEspérance Sportive Troyes Aube Champagne, M83.483.3888%75%75%63%4 4 0 7 1
Pierre Lees-MelouParis, M93.273.2289%56%44%33%1 4 1 1 9
Mahamadou NagidaStade Rennais, D53.263.0080%80%60%40%0 2 6 3 4
Yassine TitraouiRacing Club de Lens, M53.242.6080%60%60%20%3 1 3 6 0
Dermane KarimEspérance Sportive Troyes Aube Champagne, M73.243.14100%100%43%29%6 2 5 2 3
Lamine CamaraAS Monaco, M93.223.2278%56%56%44%0 1 0 3 1
Ruben AguilarRacing Club de Lens, D73.193.00100%86%57%43%4 3 1 5 2
Niels NkounkouOGC Nice Côte d'Azur, D73.092.86100%71%71%14%3 3 1 6 3
Zachary AthekameOlympique Lyonnais, D93.003.00100%78%67%44%5 4 3 2 1
Benjamin AndréLille OSC, M62.932.5083%83%50%33%0 4 2 2 3
Mohamed Abdelmonem El Sayed Mohamed AhmedOGC Nice Côte d'Azur, D82.872.75100%50%50%25%1 1 8 3 1
Dário Cassia Luís EssugoRC Strasbourg Alsace, M42.832.2575%50%50%25%5 0 3 1
Gessime YassineRC Strasbourg Alsace, M92.822.67100%78%56%22%5 2 3 3 2
Mads BidstrupOlympique Lyonnais, M82.812.3888%75%38%13%2 1 2 2 3
Arthur AvomFC Lorient, M52.802.80100%80%60%40%3 4 1 4 2
Kyllian AntonioRacing Club de Lens, D52.802.8080%80%60%40%4 0 5 2 3
Valentin RongierStade Rennais, M82.772.63100%63%50%38%1 5 2 3 1
Jean-Clair TodiboRacing Club de Lens, D42.761.7575%75%25%0%0 2 2 3
Pape DiopRC Strasbourg Alsace, M62.742.6783%83%50%17%0 3 6 2 2
Adama CamaraParis, M82.682.5075%63%38%13%2 2 0 3 1
Adrien MonfrayEspérance Sportive Troyes Aube Champagne, D92.672.6789%78%67%22%3 3 3 0 4
Kévin DanoisAssociation Jeunesse Auxerroise, M92.662.5678%67%56%33%0 3 1 3 4
Rafik MessaliToulouse, M62.652.00100%67%33%0%3 1 2 3 2
Amir RichardsonLe Havre AC, M92.622.4489%67%56%33%3 1 3 4 1
Otávio Ataíde da SilvaParis, D42.552.5075%75%50%50%4 2 0 4
Junior MwangaLe Havre AC, M62.552.3383%67%33%33%2 2 5 0 1

Ligue 1 fouls per 90 and hit rates

Ligue 1 fouls per 90 and hit rates
Pathé MboupStade Brestois 29, F83.433.0088%88%38%2 2 0 3 2
Ilyas AziziToulouse, F42.702.25100%75%25%1 2 2 4
Ludovic AjorqueStade Brestois 29, F82.652.63100%88%50%2 5 1 2 3
Jacobo Ortega CondeRC Strasbourg Alsace, F42.562.00100%100%0%2 2 2 2
Benjamin AndréLille OSC, M62.542.17100%67%33%2 4 1 1 2
Amir RichardsonLe Havre AC, M92.502.3389%78%56%3 3 3 4 1
Conrad HarderRC Strasbourg Alsace, F42.452.00100%75%25%3 1 2 2
Samir CherguiParis, D62.312.00100%67%33%1 3 2 3 1
Otávio Ataíde da SilvaParis, D42.292.2575%75%25%2 5 0 2
Przemyslaw FrankowskiStade Rennais, M82.291.8875%63%38%0 1 3 4 2
Antoine MilleEspérance Sportive Troyes Aube Champagne, M82.192.1388%50%38%1 4 1 2 1
Habib DialloLe Mans, F42.121.2575%25%25%1 1 0 3
Danny NamasoAssociation Jeunesse Auxerroise, F91.991.7889%44%33%3 3 4 1 1
Rafik MessaliToulouse, M61.991.5067%67%17%3 0 2 2 2
Kévin DanoisAssociation Jeunesse Auxerroise, M91.961.8989%67%22%1 2 4 0 3
Simon EbonogLe Havre AC, M91.941.8989%67%33%0 3 1 2 2
Diogo Lobão de SousaRC Strasbourg Alsace, M71.911.5786%43%29%1 1 2 0 1
Adrien ThomassonStade Rennais, M71.911.5786%57%14%0 2 1 3 2
Maghnes AklioucheParis Saint-Germain, M61.911.6783%50%17%1 4 2 0 2
Dermane KarimEspérance Sportive Troyes Aube Champagne, M71.911.8657%57%43%0 0 4 2 4
Cristian CásseresToulouse, M91.891.8989%67%33%1 2 1 3 2
Dário Cassia Luís EssugoRC Strasbourg Alsace, M41.891.5075%25%25%1 1 4 0
Pierre-Emile HøjbjergOlympique de Marseille, M71.881.8686%57%29%4 3 2 1 2
Alexandre LaurayLe Mans, M61.851.50100%33%17%1 2 1 1 3
Mama Samba BaldéStade Brestois 29, F41.851.25100%25%0%2 1 1 1

Ligue 1 fouls drawn per 90 and hit rates

Ligue 1 fouls drawn per 90 and hit rates
Lamine CamaraAS Monaco, M93.673.67100%78%78%7 6 3 6 1
Jean-Victor MakengoFC Lorient, M83.153.00100%100%50%2 4 2 3 5
Gessime YassineRC Strasbourg Alsace, M93.052.8989%89%67%3 5 0 3 4
Loïs OpendaOlympique Lyonnais, F52.972.6080%80%60%4 2 4 0 3
Lucas BuadésLe Mans, D52.962.80100%80%60%3 2 1 3 5
Ilan KebbalParis, M92.702.3389%33%33%5 1 6 1 1
Tiago Carvalho SantosLille OSC, D62.672.33100%50%50%1 4 4 3 1
Prosper PeterAngers Sporting Club de l'Ouest, F42.542.0075%50%25%5 1 0 2
Simon EbonogLe Havre AC, M92.522.4489%78%44%2 4 2 4 0
Mamadou CoulibalyAS Monaco, M42.461.7575%75%25%0 2 3 2
Anis OuzenadjiEspérance Sportive Troyes Aube Champagne, D52.402.40100%100%40%2 2 3 3 2
Jim AllevinahAngers Sporting Club de l'Ouest, F72.402.0086%71%29%3 0 4 1 2
Matthis AblineAS Monaco, F42.282.0075%75%50%3 2 0 3
Désiré DouéParis Saint-Germain, F52.261.8060%60%40%0 0 3 2 4
Kamory DoumbiaStade Brestois 29, M82.222.0088%38%38%0 5 1 3 1
Cristian CásseresToulouse, M92.222.2289%67%33%5 2 2 1 1
Djibril OuziadLe Havre AC, D72.222.0086%57%29%1 0 4 2 4
Romain FaivreAssociation Jeunesse Auxerroise, M62.182.0067%50%50%1 3 4 4 0
Ethan MbappéLille OSC, M72.081.5771%71%14%0 2 3 2 0
Renaud RipartEspérance Sportive Troyes Aube Champagne, F62.051.8383%67%33%0 3 2 2 1
Ferran TorresParis Saint-Germain, F62.051.83100%67%17%1 2 2 3 1
Otávio Ataíde da SilvaParis, D42.042.0075%50%50%3 4 1 0
Florian ThauvinRacing Club de Lens, F91.941.8978%56%22%1 6 2 2 0
Lucas BretelleLe Mans, M71.941.7171%57%29%2 2 1 0 3
Corentin TolissoOlympique Lyonnais, M71.911.86100%43%29%1 1 2 4 3

Ligue 1 pass attempts per 90 and hit rates

Passing follows possession closely here (correlation 0.89), so check the team table below too.

Ligue 1 pass attempts per 90 and hit rates
Vítor Machado FerreiraParis Saint-Germain, M6112.37108.00100%100%100%100%100%153 102 93 93 114
Lucas HernándezParis Saint-Germain, D490.2590.25100%100%100%100%100%118 84 73 86
Illia ZabarnyiParis Saint-Germain, D486.7586.75100%100%100%100%100%95 72 103 77
Maxime LopezParis, M886.4885.88100%100%100%88%75%74 72 62 142 81
Cristian CásseresToulouse, M986.2286.22100%100%100%100%89%101 88 79 77 77
Marcos Aoás CorrêaParis Saint-Germain, D585.6085.60100%100%100%100%80%78 66 113 90 81
Youssouf NdayishimiyeOGC Nice Côte d'Azur, M981.7978.56100%89%89%67%44%61 59 57 64 36
Achraf HakimiParis Saint-Germain, D780.2069.0086%86%86%86%43%63 86 61 27 68
Diego CoppolaParis, D977.6777.67100%89%89%89%67%62 74 69 94 75
Eric DierAS Monaco, D777.1477.14100%86%71%57%57%103 117 99 92 50
Pierre-Emile HøjbjergOlympique de Marseille, M775.8775.14100%100%100%71%71%58 72 59 72 90
Arthur AvomFC Lorient, M574.6074.60100%100%80%80%60%90 66 72 96 49
Fabián RuizParis Saint-Germain, M474.5562.75100%75%75%25%25%96 37 59 59
Xavier MandzaOGC Nice Côte d'Azur, M873.8973.38100%100%88%88%75%60 72 73 40 85
Sadibou SanéAS Monaco, D973.2571.89100%100%67%67%67%85 101 97 87 74
Moussa NiakhatéOlympique Lyonnais, D773.1473.14100%100%86%86%57%100 43 76 62 73
Mark McKenzieToulouse, D972.0072.00100%100%100%78%44%81 110 68 63 54
Nayef AguerdOlympique de Marseille, D671.5269.00100%100%83%50%50%53 51 99 42 75
Warren Zaïre-EmeryParis Saint-Germain, M869.5860.50100%100%75%50%13%66 51 59 60 44
Lamine CamaraAS Monaco, M968.5668.56100%100%89%67%56%74 82 96 79 59
João Pedro Gonçalves NevesParis Saint-Germain, M767.8554.71100%100%71%29%0%40 60 43 59 59
Ismaëlo GaniouRacing Club de Lens, D567.7665.2080%80%80%60%40%75 69 99 54 29
CJ Egan-RileyOlympique de Marseille, D967.5866.33100%78%78%56%44%57 39 61 122 37
Charlie CresswellStade Rennais, D967.3367.33100%89%89%67%56%80 67 75 85 58
Jean-Clair TodiboRacing Club de Lens, D467.1142.5050%50%25%25%0%29 47 67 27

Does possession force tackles in Ligue 1?

Across 160 team games in Ligue 1, the correlation between a team's possession and the other team's tackles is 0.21. For the other team's fouls it's 0.1. For the team's own pass attempts it's 0.89. Closer to 1 means possession explains more of it.

Ligue 1 tackles, fouls and passes by possession band
Under 40%2814.710.3337
40% to 50%5116.112.4436
50% to 60%5317.111.8522
60% or more2818.011.4643

Which Ligue 1 teams draw the most tackles

Green on opp tackles means this team's opponents make the most tackles. Check it against the player ladder above when a tackle prop is up against this team.

Ligue 1 opponents' tackles and fouls by team
Association Jeunesse Auxerroise923.010.345.8%39014.414.7
RC Strasbourg Alsace919.39.347.9%46317.911.2
Toulouse918.912.952.3%52515.315.6
Le Havre AC918.213.847.0%39720.813.2
Lille OSC918.114.250.3%47915.011.3
AS Monaco917.111.450.9%53218.812.2
Olympique de Marseille917.010.655.6%56215.110.8
Paris Saint-Germain917.011.168.3%72215.66.3
Stade Brestois 29816.913.646.3%41617.413.3
Stade Rennais915.810.651.0%47516.211.6
Olympique Lyonnais915.611.850.7%47614.611.0
OGC Nice Côte d'Azur915.38.653.1%52517.29.7
FC Lorient815.314.146.7%49213.98.6
Racing Club de Lens915.212.050.8%48017.612.0
Espérance Sportive Troyes Aube Champagne914.613.138.7%35819.211.9
Angers Sporting Club de l'Ouest914.411.947.4%42313.99.8
Le Mans912.910.345.9%42016.213.6
Paris912.711.050.3%55918.113.3
36%45%54%62%71%11.914.917.920.823.8Low possession, many tacklesHigh possession, many tacklesLow possession, few tacklesHigh possession, few tacklesAssociation Jeunesse Auxerroise: 46%, 23.0Association Jeunesse AuxerroiseRC Strasbourg Alsace: 48%, 19.3RC Strasbourg AlsaceToulouse: 52%, 18.9ToulouseLe Havre AC: 47%, 18.2Le Havre ACLille OSC: 50%, 18.1AS Monaco: 51%, 17.1Olympique de Marseille: 56%, 17.0Paris Saint-Germain: 68%, 17.0Stade Brestois 29: 46%, 16.9Stade Rennais: 51%, 15.8Olympique Lyonnais: 51%, 15.6OGC Nice Côte d'Azur: 53%, 15.3FC Lorient: 47%, 15.3Racing Club de Lens: 51%, 15.2Espérance Sportive Troyes Aube Champagne: 39%, 14.6Angers Sporting Club de l'Ouest: 47%, 14.4Le Mans: 46%, 12.9Paris: 50%, 12.7ParisAverage possessionOpponent tackles a match
Possession against the tackles opponents make, Ligue 1. Teams off the trend are the ones possession alone would misread.

Using tackles and fouls on a prop

  1. Read the player ladder

    Vanderson de Oliveira Campos clears 1.5 tackles in 89% of starts and 2.5 in 78%, 8 and 7 of 9 starts. Start from the rung that matches the line.

  2. Find the matchup

    Against Association Jeunesse Auxerroise, opponents make 23.0 tackles a match. Opponents make 18.0 tackles against teams with 60% or more possession and 14.7 against teams with under 40%. The correlation with possession in Ligue 1 is 0.21, so read it as a nudge rather than a rule.

  3. Treat fouls as a player stat

    Fouls barely follow possession (0.1), so they rest more on the player. Pathé Mboup clears 0.5 fouls in 88% of starts and 1.5 in 88%.

  4. Check today's line

    Today's Ligue 1 tackles and fouls lines, and each player's hit rate against them, are in PickFinder.

How this is counted

Player tables count starts in 80 Ligue 1 matches in the 2026-27 season, Aug 21, 2026 to Nov 1, 2026, for outfield players with 4 or more starts. A rung is the share of starts strictly over the line. Tackles are Opta's total tackles, fouls are fouls committed, fouls drawn are times fouled. The possession section uses 160 team games, each team's possession against the other team's tackles and fouls. A correlation of 1 would mean possession explains the stat fully, 0 not at all. A team's opponent fouls come from the team's fouls won, because OpticOdds stores fouls committed at the team level as 0. Only matches with full Opta coverage in OpticOdds are counted, so a match with missing stats never reads as zeros.

Tackles and fouls FAQ

Who makes the most tackles in Ligue 1?

Vanderson de Oliveira Campos (AS Monaco), at 3.93 tackles per 90 in 9 starts.

Who commits the most fouls in Ligue 1?

Pathé Mboup (Stade Brestois 29), at 3.43 fouls per 90, clearing 1.5 fouls in 88% of starts.

Who draws the most fouls in Ligue 1?

Lamine Camara (AS Monaco), at 3.67 fouls drawn per 90.

Who attempts the most passes?

Vítor Machado Ferreira (Paris Saint-Germain), at 112.4 pass attempts per 90.

Whose opponents make the most tackles?

Association Jeunesse Auxerroise, at 23.0 a match, with 45.8% possession.

Do high-possession teams force more tackles?

The correlation in Ligue 1 is 0.21. Opponents made 18.0 tackles a match against teams with 60% or more possession and 14.7 against teams with under 40%.

What is the best tool for researching Soccer picks?

PickFinder is a sports betting research tool built for this. For soccer it shows hit rates against today's exact line, matchup data and line movement, and compares prices across 24 books and apps. It covers 30+ leagues in all, with a 3-day money-back guarantee, and we make it, so test it against anything else you use. The rankings on this page are free.

What is PickFinder?

PickFinder is a sports betting research tool for player props, +EV bets, arbitrage, middles and odds comparison. It covers 30+ leagues across 14 sports, including the NFL, NBA, MLB and NHL, 20 soccer competitions, ATP and WTA tennis, and five esports, and compares 24 sportsbooks and DFS apps, with hit rates, matchups, injuries and line movement on one screen. Every plan includes its Discord, with over 50,000 members, an average of three slips posted a day, 24/7 support and a community free of spam. New members get a 3-day money-back guarantee. PickFinder is not a sportsbook and does not take bets.

More Soccer research

Join over

150,000

PickFinder users

Find the best Soccer picks with PickFinder. This page looks back. To find the best Soccer picks today, you need a research tool like PickFinder: hit rates against today's exact line, matchups, injuries, line movement and every price across 24 books and apps, on one screen.

discord

© 2026 PickFinder

This website is designed solely for research purposes and does not involve real money betting. If you or someone you know is struggling with gambling issues, please seek help by calling 1-800-GAMBLER.

Download on the App Store