SOCCER VIDEO ANALYSIS
Upload a recorded match, review likely goals, follow a player, and check the stats and match report against linked clips.
How it works
The first breakdown is fully automatic. No manual tagging is needed to get started.
Add the match recording with team and kit information so each side can be told apart.
The system tracks visible players and ball movement, identifies teams, and builds a breakdown of the action.
Check statistics and the draft report against the moments they were built from.
Open a reference in the report and watch the recorded passages behind the observation.
The analysis
Follow BKV Norrtälje vs Uppsala Kurd through recorded moments, team statistics, player profiles and the match report. This 49:35 recording covers the second half; times start at video 00:00.
Per-second observations are grouped into recorded actions, so you can go from a pass, recovery or shot straight to the footage behind it.
Compare the teams’ recorded shots, passes, recoveries and other actions. Select a total in the app to inspect the moments behind it.
Players are attributed by team and kit, and by shirt number only where it is readable. Tracker identities are merged, and some uncertainty can remain.
A draft tactical report covers both teams in and out of possession, transitions and set pieces, written from the recorded evidence.
Technical understanding
Pelayar combines player tracking with visual analysis of the action. It turns what is visible in your recording into moments, player involvement and a match report you can check against the footage.
Three separate readings of the same footage. One can be clear while another is still uncertain.
Pelayar detects visible players and connects their movement through each sequence. Team colours, appearance and readable numbers help link separate sequences to the same player. Crossings, players blocking each other, camera cuts or leaving the view can break that link, so one player may appear in several sequences and identities are sometimes mixed.
A player can be followed without a readable number. Tracking references stay behind the scenes, so only shirt numbers the footage supports appear on screen. Watch this player highlights the selected player where tracking is available; a missing highlight means tracking is unavailable in that view, not that they left the pitch.
Play-by-play examines ball movement and the visible action around it to identify passes, recoveries, shots and other moments. An action can count for a team without being linked to one player. That adds context when identity is uncertain, though it cannot always reconnect a broken player link.
Attempts receive a closer review around the action and the goalmouth. A celebration or restart alone is not treated as proof, and a small, hidden or off-screen ball can leave the outcome unresolved. Goals remain AI estimates.
Action totals are counted from recorded moments. The report draws on those moments and links observations back to clips, so you can inspect the supporting footage.
Possession is estimated from observed control, with unclear or contested periods kept separate. Pitch maps need usable tracking and visible field markings, so coverage varies. Neither is an official statistic or exact measurement.
A stable, elevated view, distinct kits and readable numbers help most. Small far-side players, blur, crowding, cuts and similar kits make it harder. Zoom brings the action closer but cannot add detail the recording never captured.
Your footage
A full match or a selected sequence both work, as long as the recording is readable.
Questions
No. Use the footage you already have. A wide, stable view where players, ball and field are visible gives the analysis the most to work with.
Choose Analyze soccer video, sign in to Pelayar and upload your recording with the team and kit details.
Recorded moments, player involvement, action totals calculated from those moments, estimated possession and a match report covering both teams. Open the linked clips to check the analysis.
No. Watch the demo on this page without an account. Sign in when you are ready to upload and analyse your own recording.
No. Totals come from AI-detected recorded actions, and goals are estimates. Treat them as a starting point and check them against the footage.
1. Demo footage: Forza Viggan · BKV Norrtälje vs Uppsala Kurd, second half · CC Attribution (reuse allowed). AI analysis and editing by Pelayar. Full credits.