Tackles and fouls
Champions League tackles and fouls props by player
PickFinder Team•Updated:
For Champions League tackles props, Morten Hjulmand (Club Atlético de Madrid) makes the most tackles among starters: 3.96 per 90, clearing 1.5 tackles in 100% of 5 starts. Konrad Laimer commits the most fouls (3.17 per 90) and Akim Zedadka draws the most (3.68).
Possession gives tackles a small push here: opponents made 18.9 tackles a match against teams with 60% or more possession, and 14.3 against teams with under 40% (correlation 0.25). Fouls follow it even less, at 0.09.
Based on 168 Champions League matches in the last 300 days, Jan 20, 2026 to Oct 21, 2026.
- Morten Hjulmand: most tackles per 90
- 3.96
- Konrad Laimer: most fouls per 90
- 3.17
- Akim Zedadka: most fouls drawn per 90
- 3.68
- Aleix García: most pass attempts per 90
- 97.0
Champions League tackles per 90 and hit rates
Starts only, players with 5 or more starts. Each rung is the share of starts over that line.
 Morten HjulmandClub Atlético de Madrid, M | 5 | 3.96 | 4.00 | 100% | 100% | 80% | 60% | 3 4 2 4 7 |
 Jobe BellinghamBV Borussia 09 Dortmund, M | 5 | 3.56 | 3.40 | 80% | 80% | 80% | 60% | 4 0 6 3 4 |
 Eduardo Filipe Quaresma Vieira Coimbra SimõesSporting Clube de Portugal, D | 5 | 3.49 | 3.20 | 100% | 80% | 60% | 40% | 1 3 5 5 2 |
 Milan SkriniarFenerbahçe Spor Kulübü, D | 9 | 3.44 | 3.44 | 100% | 89% | 56% | 33% | 4 1 2 3 3 |
 N'Golo KantéFenerbahçe Spor Kulübü, M | 6 | 3.44 | 3.33 | 83% | 83% | 33% | 33% | 2 0 2 2 9 |
 Maximiliano AraújoSporting Clube de Portugal, M | 8 | 3.41 | 3.50 | 88% | 63% | 63% | 38% | 1 1 0 5 9 |
 Fredrik SjøvoldFK Bodø / Glimt, D | 12 | 3.19 | 3.33 | 100% | 83% | 67% | 33% | 1 5 3 3 4 |
 Fermín LópezFC Barcelona, M | 6 | 3.12 | 2.67 | 83% | 50% | 50% | 33% | 1 0 3 7 1 |
 Lovro MajerAEK Athens, M | 5 | 3.02 | 2.60 | 100% | 80% | 60% | 20% | 3 4 2 3 1 |
 Ivan LepinjicaSabah FK, M | 7 | 3.00 | 3.14 | 86% | 71% | 71% | 43% | 0 5 3 5 3 |
 Ramy BensebaïniBV Borussia 09 Dortmund, D | 6 | 2.98 | 2.83 | 83% | 50% | 50% | 33% | 1 0 8 3 4 |
 Federico DimarcoFC Internazionale Milano, D | 5 | 2.94 | 2.60 | 100% | 60% | 40% | 40% | 1 2 1 5 4 |
 João Pedro Gonçalves NevesParis Saint-Germain, M | 11 | 2.87 | 2.82 | 91% | 82% | 55% | 27% | 4 3 3 2 2 |
 Rodinei Marcelo de AlmeidaOlympiakos CFP, D | 6 | 2.85 | 3.00 | 83% | 50% | 33% | 33% | 8 6 1 1 2 |
 Pablo BarriosClub Atlético de Madrid, M | 5 | 2.84 | 2.20 | 80% | 40% | 40% | 20% | 1 1 3 6 0 |
 Piero HincapiéArsenal, D | 6 | 2.84 | 3.00 | 83% | 83% | 50% | 50% | 2 4 2 6 4 |
 Joaquin SeysClub Brugge KV, D | 7 | 2.82 | 2.71 | 86% | 71% | 57% | 43% | 3 2 4 4 0 |
 Lazaros RotaAEK Athens, D | 5 | 2.80 | 2.80 | 100% | 100% | 60% | 20% | 3 3 2 4 2 |
 Dayot UpamecanoFC Bayern München, D | 8 | 2.75 | 2.63 | 88% | 63% | 50% | 25% | 6 2 0 3 5 |
 Marcos LlorenteClub Atlético de Madrid, M | 13 | 2.74 | 2.69 | 92% | 54% | 38% | 31% | 1 2 5 4 2 |
 Mario LeminaGalatasaray Spor Kulübü, M | 6 | 2.74 | 2.50 | 83% | 83% | 50% | 17% | 2 5 2 3 0 |
 Waldemar AntonBV Borussia 09 Dortmund, D | 6 | 2.67 | 2.67 | 83% | 83% | 33% | 33% | 2 6 4 2 2 |
 Nahuel MolinaAS Roma, D | 6 | 2.63 | 2.50 | 100% | 67% | 33% | 33% | 2 2 1 4 5 |
 Fredrik BjørkanFK Bodø / Glimt, D | 12 | 2.60 | 2.58 | 92% | 58% | 42% | 25% | 1 2 1 2 5 |
 Dominik SzoboszlaiLiverpool, M | 7 | 2.54 | 2.43 | 100% | 57% | 43% | 29% | 2 5 1 3 1 |
 Álex GrimaldoClub Atlético de Madrid, D | 8 | 2.50 | 2.50 | 88% | 63% | 50% | 38% | 0 1 1 3 5 |
 Aurélien TchouaméniReal Madrid, M | 8 | 2.44 | 2.25 | 100% | 75% | 38% | 13% | 1 2 4 2 1 |
 Matteo RuggeriClub Atlético de Madrid, D | 9 | 2.44 | 2.44 | 89% | 56% | 44% | 44% | 4 4 5 4 0 |
 Xavier MbuyambaLinzer Athletik Sport Klub, D | 5 | 2.44 | 2.60 | 80% | 60% | 40% | 40% | 6 1 4 0 2 |
 Lewis HallNewcastle United, D | 5 | 2.40 | 2.40 | 80% | 60% | 40% | 40% | 1 0 4 5 2 |
Champions League fouls per 90 and hit rates
 Konrad LaimerFC Bayern München, M | 7 | 3.17 | 2.71 | 86% | 71% | 57% | 4 1 0 4 5 |
| Fermín LópezFC Barcelona, M | 6 | 3.12 | 2.67 | 100% | 83% | 33% | 3 1 2 2 6 |
 Loïs OpendaOlympique Lyonnais, F | 5 | 2.80 | 2.80 | 100% | 100% | 40% | 2 4 4 2 2 |
 Gianluca ScamaccaAtalanta Bergamasca Calcio, F | 5 | 2.71 | 1.80 | 100% | 80% | 0% | 2 2 1 2 2 |
 Răzvan MarinAEK Athens, M | 5 | 2.51 | 2.20 | 80% | 80% | 20% | 0 2 2 5 2 |
| Maximiliano AraújoSporting Clube de Portugal, M | 8 | 2.43 | 2.50 | 88% | 75% | 38% | 0 2 2 3 7 |
 Marcus ThuramFC Internazionale Milano, F | 6 | 2.41 | 2.17 | 100% | 50% | 33% | 3 1 2 1 5 |
 Andreas HelmersenFK Bodø / Glimt, F | 5 | 2.37 | 2.20 | 100% | 80% | 20% | 1 2 2 4 2 |
 Joe BellViking FK, M | 5 | 2.37 | 2.20 | 100% | 80% | 20% | 2 1 2 2 4 |
 Désiré DouéParis Saint-Germain, F | 10 | 2.31 | 2.00 | 80% | 70% | 40% | 3 1 4 0 0 |
 Kaheem ParrisSabah FK, M | 5 | 2.19 | 1.60 | 80% | 60% | 20% | 2 1 2 3 0 |
 Jeremie FrimpongLiverpool, D | 6 | 2.10 | 1.50 | 67% | 50% | 17% | 0 1 2 2 0 |
 Myles Lewis-SkellyArsenal, D | 5 | 2.07 | 2.00 | 80% | 80% | 20% | 2 2 2 4 0 |
 Enzo FernándezManchester City, M | 7 | 2.01 | 1.86 | 86% | 57% | 43% | 0 1 3 1 3 |
 Ibrahima KonatéReal Madrid, D | 6 | 2.00 | 2.00 | 100% | 67% | 17% | 1 1 2 4 2 |
 Gianni StensnessViking FK, D | 5 | 2.00 | 2.00 | 80% | 60% | 40% | 1 2 0 4 3 |
 Álvaro FernándezReal Madrid, D | 5 | 1.94 | 1.80 | 100% | 60% | 20% | 2 3 1 2 1 |
| Luis SuárezSporting Clube de Portugal, F | 9 | 1.88 | 1.89 | 89% | 56% | 44% | 3 1 3 0 1 |
 Rasmus HøjlundSSC Napoli, F | 5 | 1.86 | 1.80 | 100% | 60% | 20% | 1 1 2 2 3 |
 Kasper HøghCeltic, F | 8 | 1.85 | 1.75 | 88% | 38% | 25% | 5 2 1 3 1 |
 Peter ChristiansenViking FK, F | 5 | 1.81 | 1.80 | 100% | 80% | 0% | 1 2 2 2 2 |
| Aurélien TchouaméniReal Madrid, M | 8 | 1.76 | 1.63 | 88% | 50% | 25% | 1 2 1 2 3 |
 Djed SpenceFC Internazionale Milano, D | 5 | 1.75 | 1.60 | 80% | 40% | 40% | 0 3 1 3 1 |
 Dani OlmoFC Barcelona, M | 6 | 1.72 | 1.33 | 67% | 50% | 17% | 0 1 2 2 0 |
 Alexis Mac AllisterLiverpool, M | 8 | 1.71 | 1.63 | 88% | 50% | 25% | 0 2 1 3 3 |
Champions League fouls drawn per 90 and hit rates
 Akim ZedadkaSabah FK, D | 7 | 3.68 | 3.57 | 100% | 100% | 100% | 5 4 3 3 3 |
| Morten HjulmandClub Atlético de Madrid, M | 5 | 3.37 | 3.40 | 80% | 80% | 80% | 3 0 3 5 6 |
 Lamine Yamal Nasraoui EbanaFC Barcelona, F | 8 | 3.13 | 3.13 | 100% | 75% | 63% | 6 1 1 3 6 |
 Robert LewandowskiFC Barcelona, F | 5 | 3.06 | 2.40 | 100% | 80% | 40% | 1 4 2 2 3 |
 Roland SallaiGalatasaray Spor Kulübü, F | 7 | 2.85 | 2.71 | 100% | 100% | 57% | 2 2 3 2 4 |
 Zlatko TripićViking FK, F | 5 | 2.76 | 2.60 | 80% | 80% | 60% | 0 3 5 2 3 |
| Gianluca ScamaccaAtalanta Bergamasca Calcio, F | 5 | 2.71 | 1.80 | 80% | 40% | 40% | 3 1 1 0 4 |
 Vedat MuriqiFenerbahçe Spor Kulübü, F | 5 | 2.70 | 2.20 | 80% | 60% | 40% | 2 0 4 4 1 |
 Michael OliseFC Bayern München, M | 8 | 2.69 | 2.63 | 100% | 75% | 38% | 2 5 3 2 2 |
| Dani OlmoFC Barcelona, M | 6 | 2.58 | 2.00 | 83% | 33% | 33% | 0 1 4 1 5 |
 Tigran BarseghyanŠK Slovan Bratislava, M | 5 | 2.55 | 2.00 | 100% | 40% | 40% | 1 3 1 1 4 |
 Baris Alper YilmazGalatasaray Spor Kulübü, F | 9 | 2.50 | 2.33 | 100% | 44% | 44% | 1 1 3 3 4 |
 Vinícius José Paixão de Oliveira JúniorReal Madrid, F | 11 | 2.40 | 2.27 | 91% | 64% | 45% | 2 1 1 3 3 |
 Kristoffer AskildsenViking FK, M | 5 | 2.40 | 2.40 | 80% | 60% | 40% | 0 1 4 5 2 |
 Suleiman CamaraŠK Slovan Bratislava, F | 5 | 2.40 | 2.20 | 80% | 80% | 40% | 0 4 3 2 2 |
 Gelson Dany Batalha MartinsOlympiakos CFP, M | 5 | 2.37 | 2.20 | 100% | 80% | 20% | 4 1 2 2 2 |
 Jude BellinghamReal Madrid, M | 6 | 2.34 | 2.33 | 83% | 50% | 50% | 1 5 4 0 1 |
 Khvicha KvaratskheliaParis Saint-Germain, F | 10 | 2.16 | 1.80 | 70% | 50% | 30% | 2 1 2 0 4 |
 Felix NmechaBV Borussia 09 Dortmund, M | 6 | 2.09 | 1.83 | 83% | 67% | 33% | 3 0 1 2 3 |
 Luka JovicAEK Athens, F | 5 | 2.09 | 1.80 | 60% | 60% | 40% | 2 3 0 4 0 |
 Nicolò TresoldiClub Brugge KV, F | 5 | 2.05 | 1.80 | 80% | 60% | 20% | 2 1 4 0 2 |
| Loïs OpendaOlympique Lyonnais, F | 5 | 2.00 | 2.00 | 100% | 60% | 40% | 2 1 1 3 3 |
 Archie BrownFenerbahçe Spor Kulübü, D | 6 | 2.00 | 2.00 | 100% | 50% | 33% | 3 2 4 1 1 |
 Pedro González LópezFC Barcelona, M | 8 | 1.96 | 1.50 | 50% | 50% | 38% | 0 0 0 3 2 |
 Geny Cipriano CatamoSporting Clube de Portugal, M | 9 | 1.90 | 1.78 | 89% | 56% | 33% | 3 0 1 1 3 |
Champions League pass attempts per 90 and hit rates
Passing follows possession closely here (correlation 0.89), so check the team table below too.
 Aleix GarcíaBayer 04 Leverkusen, M | 6 | 96.98 | 92.67 | 100% | 100% | 100% | 100% | 100% | 91 77 79 87 102 |
 Rodrigo Hernández CascanteFC Barcelona, M | 5 | 95.86 | 85.00 | 100% | 100% | 100% | 80% | 60% | 116 85 57 102 65 |
 Joshua KimmichFC Bayern München, M | 9 | 93.04 | 91.78 | 100% | 100% | 100% | 89% | 89% | 92 86 78 55 118 |
 Vítor Machado FerreiraParis Saint-Germain, M | 14 | 92.82 | 93.93 | 100% | 93% | 93% | 79% | 64% | 65 56 120 150 34 |
| Aleksandar PavlovicFC Bayern München, M | 9 | 92.39 | 85.78 | 100% | 100% | 100% | 100% | 67% | 65 69 65 98 78 |
 Pau CubarsíFC Barcelona, D | 7 | 83.68 | 77.57 | 100% | 100% | 86% | 86% | 29% | 65 67 111 48 62 |
 Alessandro BastoniFC Internazionale Milano, D | 6 | 81.83 | 78.50 | 100% | 100% | 100% | 83% | 67% | 55 79 82 96 98 |
 Eric GarcíaFC Barcelona, D | 6 | 77.59 | 57.33 | 83% | 83% | 50% | 50% | 50% | 40 87 85 7 45 |
 Hans VanakenClub Brugge KV, M | 7 | 76.29 | 74.71 | 100% | 100% | 86% | 71% | 57% | 105 69 51 79 82 |
 Jules KoundéFC Barcelona, D | 5 | 76.07 | 73.20 | 100% | 100% | 60% | 60% | 40% | 91 66 47 114 48 |
 Rúben dos Santos Gato Alves DiasManchester City, D | 5 | 75.21 | 59.00 | 80% | 60% | 60% | 60% | 40% | 65 25 88 31 86 |
| Pedro González LópezFC Barcelona, M | 8 | 74.51 | 57.13 | 100% | 63% | 50% | 38% | 25% | 38 75 56 111 32 |
 Gerard MartínFC Barcelona, D | 8 | 74.36 | 72.50 | 100% | 100% | 100% | 88% | 38% | 63 69 86 100 64 |
| Pablo BarriosClub Atlético de Madrid, M | 5 | 72.72 | 56.40 | 100% | 100% | 80% | 40% | 0% | 60 52 56 49 65 |
 Brandon MecheleClub Brugge KV, D | 7 | 72.09 | 71.86 | 100% | 86% | 86% | 57% | 43% | 102 54 95 58 91 |
 Manuel AkanjiFC Internazionale Milano, D | 6 | 72.00 | 72.00 | 100% | 100% | 100% | 83% | 50% | 62 84 94 80 60 |
 Dean HuijsenReal Madrid, D | 8 | 71.47 | 67.50 | 100% | 88% | 50% | 50% | 50% | 102 39 43 90 47 |
 Jonathan TahFC Bayern München, D | 10 | 71.09 | 65.80 | 100% | 90% | 60% | 50% | 40% | 37 93 42 67 41 |
 Gonçalo Bernardo InácioSporting Clube de Portugal, D | 9 | 70.86 | 67.89 | 100% | 67% | 67% | 67% | 33% | 97 67 39 68 66 |
 Kyriani SabbeClub Brugge KV, D | 7 | 70.54 | 60.57 | 100% | 71% | 57% | 43% | 43% | 79 37 47 78 57 |
 Rayan CherkiManchester City, M | 6 | 69.80 | 59.33 | 83% | 83% | 83% | 50% | 33% | 85 26 50 71 58 |
 Joey VeermanBV Borussia 09 Dortmund, M | 5 | 69.21 | 64.60 | 100% | 80% | 80% | 80% | 40% | 79 34 87 60 63 |
 Abdukodir KhusanovManchester City, D | 6 | 69.17 | 69.17 | 100% | 100% | 67% | 50% | 50% | 85 44 59 91 40 |
 Tom BischofFC Bayern München, M | 5 | 69.13 | 65.60 | 100% | 100% | 100% | 40% | 40% | 54 70 55 58 91 |
 Declan RiceArsenal, M | 10 | 67.94 | 70.20 | 100% | 100% | 90% | 80% | 50% | 77 77 98 41 62 |
Does possession force tackles in the Champions League?
Across 336 team games in the Champions League, the correlation between a team's possession and the other team's tackles is 0.25. For the other team's fouls it's 0.09. For the team's own pass attempts it's 0.89. Closer to 1 means possession explains more of it.
Using tackles and fouls on a prop
Read the player ladder
Morten Hjulmand clears 1.5 tackles in 100% of starts and 2.5 in 80%, 5 and 4 of 5 starts. Start from the rung that matches the line.
Find the matchup
Opponents make 18.9 tackles against teams with 60% or more possession and 14.3 against teams with under 40%. The correlation with possession in the Champions League is 0.25, so read it as a nudge rather than a rule.
Treat fouls as a player stat
Fouls barely follow possession (0.09), so they rest more on the player. Konrad Laimer clears 0.5 fouls in 86% of starts and 1.5 in 71%.
Check today's line
Today's Champions League tackles and fouls lines, and each player's hit rate against them, are in PickFinder.
How this is counted
Player tables count starts in 168 Champions League matches in the last 300 days, Jan 20, 2026 to Oct 21, 2026, for outfield players with 5 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 336 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 the Champions League?
Morten Hjulmand (Club Atlético de Madrid), at 3.96 tackles per 90 in 5 starts.
Who commits the most fouls in the Champions League?
Konrad Laimer (FC Bayern München), at 3.17 fouls per 90, clearing 1.5 fouls in 71% of starts.
Who draws the most fouls in the Champions League?
Akim Zedadka (Sabah FK), at 3.68 fouls drawn per 90.
Who attempts the most passes?
Aleix García (Bayer 04 Leverkusen), at 97.0 pass attempts per 90.
Do high-possession teams force more tackles?
The correlation in the Champions League is 0.25. Opponents made 18.9 tackles a match against teams with 60% or more possession and 14.3 against teams with under 40%.
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