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World Cup - Day 8
Analysis of the 27/11 games according to Artificial Intelligence
Analysis of the 27/11 games according to Artificial Intelligence
Belgium 0
Morocco 2
Belgium had 72% performance relative to a champion team and Morocco had 36%
Relative intensity in the game:
Belgium : 67%
Morocco : 33%
Finishes:
Belgium: had a low number of finishes compared to a champion team. With a hit rate of 40%, which is a regular goal-direction rate.
Morocco: low number of finals compared to a winning team. With a hit rate of 40%, which is a regular goal-direction rate
tackles
Belgium: neutralized 15% of the opponent's moves
Morocco: neutralized 8% of the opponent's moves
Passes:
Belgium had champion rate. Using 5% of long passes as resources.
Morocco had a good rate. Using 13% of long passes as resources.
Toby Alderweireld, defender of Belgium, was the one who hit the most passes.
what to keep
Belgium: play neutralization rate
Morocco: goals rate.
what to improve
Belgium: number of submissions
Morocco: number of submissions
The tireless of the game were:
Belgium: Toby Alderweireld-ZAG
Belgium: Jan Vertonghen-ZAG
The best performances:
Jan Vertonghen, ZAG of Belgium
Toby Alderweireld, ZAG of Belgium
Worst performers:
Youssef En-Nesyri, ATA of Morocco
Romelu Lukaku, ATA of Belgium
Canada: 1
Croatia: 4
Canada had 52% performance relative to a champion team and Croatia had 50%
Relative intensity in the game:
Canada : 51%
Croatia : 49%
Finishes:
Low number of submissions in the match, 20.
Canada: had low number of submissions in relation to a champion team. The goal-direction rate was 25%, which is a bad rate.
Croatia: had a good number of finishes compared to a champion team. The goal-direction rate was excellent at 83%, which is a champion rate.
Having finished 50% more than Canada and with such a high rate of direction, perhaps that is the main explanation for his victory.
Croatia striker Andrej Kramaric had the most successful shots, with 3 shots
tackles
Canada: Neutralized 10% of opponent's plays
Croatia: neutralized 13% of the opponent's plays
Passes:
Canada had a good rate. Using 11% of long passes as resources.
Croatia had a good rate. Using 10% of long passes as resources.
For Canada, Kamal Miller, defender, was the one who made the most passes.
what to keep
Canada: No Champion Standout Croatia: Drive Rate in Finishes
what to improve
Canada: number of shots on goal and rate of direction.
Croatia: intensity.
The tireless of the game were:
Croatia: Josko Gvardiol - ZAG
Canada: Kamal Miller - ZAG
Canada: Milan Borjan - GOL
The best performances:
Kamal Miller, ZAG Canada
Josko Gvardiol, ZAG of Croatia
Worst performance:
Cyle Larin, ATA Canada
Germany 1
spain 1
Germany had 35% performance relative to a champion team and Spain had 61%.
Relative intensity in the game:
Germany : 36%
Spain : 64%
Finishes:
Low number of submissions, 17
Germany: had a low number of finals, compared to a champion team. The goal-direction rate was 40%, which is regular
Spain: had a low number of shots compared to a champion team. The goal-direction rate was 43%, which is regular.
The one who finished the most correctly was the Spaniard Dani Olmo, midfielder, who kicked it right and many times.
tackles
Germany : Neutralized 11% of opponent's moves Spain : Neutralized 14% of opponent's moves
Niklas Sale, defender from Germany- and Rodri, defender from Spain, were the ones who disarmed the most.
Passes:
Germany needs to evolve. Mistakes in passes can mean a defeat. Used 13% of long passes as resources.
Spain had a good rate and used 5% of long passes as resources.
Rodri, defender of Spain, was the one who hit the most passes.
what to keep
Germany: no champion highlights
Spain: intensity, despite being superior in the 1st game
what to improve
Germany: pass hit rate and intensity
Spain: number of submissions
The tireless of the game were:
Spain: Rodri - ZAG
Spain: Aymeric Laporte - ZAG
Spain: Jordi Alba - LAT
The best performances:
Rodri, ZAG of Spain
Aymeric Laporte, ZAG of Spain
Jordi Alba, LAT from Spain
Worst performance:
Ferra¡n Torres, MEI from Spain
Costa Rica 1
Japan 0
Costa Rica had 46% performance relative to a champion team and Japan had 63%
Relative intensity in the game:
Costa Rica : 42%
Japan : 58%
Finishes:
Low number of submissions, 17
Costa Rica: had a low number of shots compared to a champion team. Goal drive rate was 25% which is a bad rate
Japan: had a low number of submissions, compared to a champion team. Goal drive rate was 23% which is a bad rate
Tackles
Costa Rica : neutralized 12% of the opponent's plays
Japan : neutralized 11% of the opponent's moves
Bryan Oviedo, Costa Rica's winger, was the one who disarmed the most correctly.
Passes:
Costa Rica had a good hit rate, using 11% of long passes as resources.
Japan had champion rate. Using 6% of long passes as resources.
Maya Yoshida, defender from Japan, was the one who hit the most passes.
What to keep:
Costa Rica: no champion highlights
Japan: pass hit rate
what to improve
Costa Rica: intensity
Japan: intensity
The tireless of the game were:
Japan - Maya Yoshida - ZAG
Japan - Wataru Endo - VOL
Costa Rica - Francisco Calvo - ZAG
The best performances:
Maya Yoshida, ZAG Japan
Ko Itakura, ZAG of Japan
Francisco Calvo, ZAG of Costa Rica
Worst performance:
Yuki Soma, MEI from Japan
Team Ranking – 2nd Round
Team
Comparison with 1st Ranking
Belgium
100.0%
Japan
87.9%
England
85.3%
Spain
84.7%
France
82.8%
Saudi Arabia
81.4%
Argentina
78.2%
Senegal
78.1%
Denmark
76, 1%
Netherlands
72.3%
Canada
72.1%
Wales
69.0%
Croatia
68.8%
Costa Rica
63.8%
Tunisia
63.1%
United States
60.8%
Ecuador
56.5%
Qatar
54.6 %
Mexico
51.3%
Morocco
49.7%
Germany
48.6%
Australia
46.9%
Poland
40.6%
Iran
37.6%
It is worth noting the ranking because the AI placed teams that lost as leaders in champion intensity. It is common for teams to lose in detail, in football.
Ranking Players 2nd Round - The 10 most
ZAG
Maya Yoshida, Japan ZAG
Jan Vertonghen, Belgium ZAG
LAT
Theo Hernandez, France LAT
Luke Shaw, England LAT
VOL
Axel Witsel, Belgium VOL
Frenkie de Jong, Netherlands VOL
MEI
Mohamed Kanno, Saudi Arabia MEI
Mateo Kovacic, MEI Croatia
ATA
Salem Al Dawsari Saudi Arabia
ATA Antoine Griezmann France ATA
Artificial Intelligence does not understand football, but it reveals relevant patterns and details for professionals, specialists and executives who want to identify key points for consistent improvement in their businesses. This is a post game analysis, but it can be done in real time or even deepened on demand. One of the great advantages of AI is the capacity for in-depth analysis in real time, keeping the business in question at a high level of dynamism.
(*) FIF-AI: Football Intensity Factor, developed with the application of AI - Artificial Intelligence applied to football data generated from high-performance games and updated with continuous learning techniques.
About the author
Ricardo Villaça
Chief Artificial Intelligence OfficerRead too
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