You Can Track One Player Automatically — Here's How
You can automatically track a single player in soccer footage by uploading the video to PlayerTrac, selecting the athlete you want to follow, and letting the AI follow them through the match. No special camera or hardware is needed — the video you already have works. The system uses computer vision to lock onto the player you identify and track their position frame by frame, giving you a timeline of every moment they appear on screen. From there, you select the clips you want and build a player-focused video.
This guide walks through the full process step by step, including what kind of video works best, how to get accurate tracking, what the output looks like, and how automatic tracking compares to the old way of doing things — manually scrubbing through an entire game trying to find your player.
The Step-by-Step Process
Tracking a player in soccer footage is a four-step process. No video editing experience is required, and you don't need to download or install any software on your computer.
Step 1: Upload the Game Video
Start by uploading your game footage to PlayerTrac. The video can come from any source: your phone's camera roll, a GoPro recording, a Veo download, a Hudl export, or any other video file. Standard formats like MP4, MOV, and AVI all work. You don't need to trim the video first — uploading the entire game, including halftime, is fine. The AI processes the whole file and handles the gaps.
Upload happens through your browser. There's no app to install and no special hardware to connect. Drag the file in, and the system starts preparing it for tracking.
Step 2: Select the Player to Track
Once the video is uploaded, you identify which player you want the AI to follow. This usually means finding a frame where your player is visible and selecting them — clicking on them in the video or pointing them out by jersey number and appearance. The AI needs this initial identification because it can't know which of the 22 players on the field is the one you care about. You're giving it a target.
This step takes a few seconds. Find a clear frame where your player is visible, select them, and move on. The system takes it from there.
Step 3: Let the AI Track
The AI processes the video and follows your player through the footage. Frame by frame, it maintains a lock on the athlete you identified. It handles the situations that make manual tracking exhausting: players crossing paths, the camera panning to a different part of the field, your player being briefly hidden behind another athlete, jersey colors that look similar. When the AI temporarily loses sight of a player — because they left the frame or were completely blocked — it picks them up again when they reappear.
Processing time depends on the length of the video and the platform's current load. A full 90-minute game takes less time than watching the game would. You don't need to wait at your computer — the tracking happens in the cloud, and you'll be notified when it's done.
Step 4: Review Tracked Moments and Create Clips
When tracking is complete, you get a timeline showing every moment your player appears in the footage. Think of it as a map of the video, with your player's appearances marked out. You scroll through this timeline, watch the moments that interest you, and select the ones you want to keep as clips.
This is where your judgment comes in. The AI doesn't decide which moments are "highlights" or assign importance scores to plays. It shows you where your player is — you decide what's worth clipping. A parent building a recruiting reel might select different moments than a coach reviewing defensive shape. Once you've selected your clips, you can combine them into a single player-focused video and export it.
What Kind of Video Works?
The short answer: almost any game video works. The longer answer involves some trade-offs between different recording setups. Here's a breakdown:
Phone Footage (Most Common)
Most users track players in video recorded on a phone. This is the footage parents already have — recorded from the sideline during the game. Modern phones shoot in high enough resolution (1080p or 4K) that the AI can identify and follow individual players without trouble. The main trade-off is field coverage: a phone from the sideline typically captures maybe half to two-thirds of the field width. Your player will leave the frame when they're on the far side, and the AI simply marks those gaps. This is normal and expected.
Veo and Wide-Angle Camera Systems
Veo cameras and similar systems (Pixellot, Spiideo) record the entire field from a fixed, elevated position. This is the best footage for tracking because your player is almost always on screen. If your club uses Veo and you can access the recordings, use those — you'll get the most complete tracking timeline with the fewest gaps.
GoPro and Action Cameras
GoPros work well, especially when mounted on a tripod or elevated surface behind one goal. The wide-angle lens captures more of the field than a phone. The fish-eye distortion doesn't affect tracking accuracy — the AI handles the warped perspective fine. Position the camera at midfield if possible for maximum coverage.
Hudl and Other Platforms
If your team's game film lives on Hudl, GameChanger, or a shared Google Drive, download the video file and upload it. The source platform doesn't matter — what matters is the video file itself. Any standard video format works.
What Doesn't Work Well
There are a few situations where tracking is harder. Very close-up footage (zoomed in on just a few players) gives the AI limited context. Extremely shaky handheld footage, where the camera bounces constantly, can cause brief tracking drops. And very low-resolution video (old 480p recordings) may not give the AI enough visual detail to distinguish between players. None of these are hard dealbreakers, but they produce less complete tracking.
Tips for the Best Tracking Results
You don't need to change your recording setup to use AI tracking — it works with what you have. But if you want the cleanest possible tracking, these tips help:
Go Wide, Stay Stable
Wider shots mean your player is on screen more. A stable camera (tripod, fence post, or any fixed surface) means smoother footage and more reliable tracking. If you're recording on your phone, zoom out as far as possible and prop the phone against something solid. Even a simple phone tripod from Amazon makes a significant difference.
Elevated Angles Are Better
If you can record from a few feet above field level — the top row of bleachers, a small tripod, a parking lot adjacent to the field that's slightly elevated — you get a clearer view of the field and less player overlap. Ground-level footage from behind the parents' chairs works, but the AI has to deal with more occlusions when players line up in front of each other.
Don't Follow the Ball
This is the most common mistake. Parents instinctively pan the camera to follow the ball, which means the camera is constantly moving and your player is often out of frame. If possible, keep the camera pointed at a wider, more fixed view of the field. Let the ball move in and out of frame — the AI needs your player in frame, not the ball.
Distinctive Jerseys Help (But Aren't Required)
The AI uses visual features — jersey color, shorts, socks, body shape, position — to maintain tracking. When both teams wear similar dark colors, or when your team's home and away kits look alike under certain lighting, tracking can occasionally swap between similar-looking players. Bright, distinctive jerseys make the AI's job easier. You can't always control this, but it's worth knowing.
Upload the Full Game
Don't try to trim the video before uploading. Just upload the entire recording. The AI handles halftime breaks, stoppages, and dead time. Pre-trimming risks cutting off moments you didn't know were there, and it adds unnecessary work on your end.
What the Output Looks Like
After the AI finishes tracking, here's what you're working with:
A Tracked Timeline
The primary output is a visual timeline of the video with your player's appearances marked. You can think of it like a scrubber bar with highlighted sections — the highlighted parts are where your player is visible and tracked. You click on any highlighted section to jump to that moment in the video and watch it.
Clip Selection
From the timeline, you mark the moments you want to keep. Set a start point and an end point for each clip, and the system saves that segment. You can create as many clips as you want from a single tracked video. Each clip preserves the original video quality — there's no re-encoding or quality loss.
Combined Video Export
Once you've selected your clips, you can combine them into a single player-focused video. The result is a continuous video of your player's moments, in chronological order, ready to download and use. This is the video you'd upload to a recruiting profile, share with a college coach, post on social media, or send to family.
The key thing to understand about the output: you choose what goes in. The AI's job is to find your player and show you where they are. Your job is to decide which moments are worth keeping. This means two parents tracking the same player in the same game might produce very different final videos, depending on what they're looking for — and that's by design.
Common Questions About Automatic Player Tracking
Does it work with video I've already recorded?
Yes. That's the entire point. AI player tracking is a post-production tool. It doesn't require a special camera, a live connection, or any pre-game setup. If you have a video file of a soccer game, you can track a player in it. This includes footage from last season, last year, or any point in the past — as long as the video quality is reasonable (1080p or higher is ideal).
What if my player goes off screen?
The AI marks gaps where your player isn't visible. When the camera pans away or your player is outside the frame, the tracking pauses and picks up again when they reappear. These gaps are normal, especially with phone footage that doesn't cover the full field. Wide-angle systems like Veo minimize gaps because the full field is always in view.
Can I track more than one player in the same video?
Yes. You can run tracking on the same video multiple times, selecting a different player each time. A coach could track three or four different players from a single game recording, producing separate timelines and clips for each one.
Does the AI automatically pick the best moments?
No. The AI tracks where your player appears — it doesn't evaluate or rank plays. It doesn't decide that a goal is more important than a defensive clearance, or that a sprint down the wing is a "highlight." You review the tracked moments and choose the clips yourself. This gives you full control over what goes into the final video.
How long does processing take?
Processing time varies based on video length and server load. A full 90-minute game typically processes faster than it would take to watch it. You don't need to keep your browser open — tracking runs in the cloud, and you come back when it's done.
Is this the same as Veo or Trace?
No. Veo is a camera system — you buy hardware, set it up at the field, and it records the game. Trace uses wearable GPS pods for tracking. PlayerTrac is different: it's software that works with video you've already captured, from any source. You don't buy a camera or wear a device. You upload a video file, and the AI tracks your player in it. The three tools can actually complement each other — you can record with Veo and then use PlayerTrac to track a specific player in that Veo footage.
Why Automatic Tracking Beats Manual Clipping
Before AI tracking, the only way to create a player-focused video was manual: watch the entire game, pause when your player does something, note the timestamp, go back and clip that segment, then repeat for the whole game. Here's why automatic tracking is better:
Time
Manual clipping takes 2-4 hours per game for most people. You're watching 90 minutes of footage, often rewinding and re-watching sections, then spending additional time in a video editor cutting and stitching clips. With automatic tracking, the AI does the scrubbing for you. Your active time drops to the 15-30 minutes it takes to review tracked moments and select clips. For a family that plays three games in a tournament weekend, that's the difference between spending the entire Sunday evening editing and being done before dinner.
Completeness
When you manually scrub through a game, you miss things. Your eyes glaze over during the 63rd minute. You skip past an off-ball run because you're focused on the player with the ball. AI tracking doesn't miss moments — it identifies every frame where your player is visible, including the subtle positioning plays and off-ball movement that a tired parent would skip past. You might still choose not to clip those moments, but at least you see them.
Consistency
Manual clipping quality varies based on who's doing it and how much time they have. A parent doing their fourth game of the weekend at 10 PM produces different results than someone fresh on Saturday morning. AI tracking produces the same quality output regardless of when you run it. The consistency matters when you're building a highlight reel across multiple games — you want each game's clips to be equally thorough.
Accessibility
Not everyone knows how to use video editing software. iMovie, DaVinci Resolve, and Premiere Pro have learning curves that stop many parents from even attempting to build a player video. AI tracking removes the editing skill requirement. If you can upload a file and click on moments you like, you can produce a player-focused video. The technical barrier drops to near zero.
If you've been putting off creating player videos because the process was too time-consuming, or if you've been paying someone else to do manual clipping, automatic player tracking is worth trying. Upload one game, track your player, and see what you get. Most people are surprised at how fast the process is — and how much footage of their player they were missing with the manual approach.
