# Tabletop soccer with passing lanes

> A spatial soccer replay pairs a miniature green pitch and numbered player figures with match footage. Passing-lane arrows and percentage labels make tactical options visible alongside floating playback and pitch-map panels.

- Kind: Video
- Page: https://meetreference.com/v/video-tabletop-soccer-with-passing-lanes-a2b54a/
- Ready-to-use agent handoff: https://meetreference.com/v/video-tabletop-soccer-with-passing-lanes-a2b54a/agent.txt
- Authorship: AI-made, per the source
- Made with: Not stated
- Model: Claude Opus 5.5, RF-DETR, DINOv2
- Built with: BoT-SORT
- Skills or plugins: Gradient-boosted pass modeling
- Style: Product launches; spatial interface, sports analytics, miniature, 3d visualization, augmented reality
- Length and format: 31 sec, 4:3 (960x720 source)
- Playback: a muted visual reference. The original soundtrack is available only at the source.
- Shared by @virtual_amir in X, Oct 3, 2026: https://x.com/virtual_amir/status/2106387068070826373
- Prompt fidelity: Unavailable in this entry. The recreation brief is written by Reference.

## Before you start

Guidance from Reference, separate from the creator's instructions.

1. Read the reference and inspect the project, installed libraries, and available agent skills before writing code. Reuse suitable tools already present.
2. Prefer the creator-reported libraries and skills when they fit the task. Explain what useful additions help with, and install missing project dependencies or relevant skills from official sources when the environment and the user's existing permissions allow it. Respect the project's package manager and setup rules; do not ask again for routine setup already authorized.
3. Distinguish tools used by the creator from your own recommendations. A listed tool is not automatically required, and an empty tools or requirements list means the setup is unknown, not that nothing is needed.
4. Ask concise questions when missing inputs or choices materially affect the result: paid services, credentials, the user's assets, or a different production approach. Use existing answers and permissions; continue independent work while waiting.
5. If a useful library, skill, or service cannot be installed or used, explain an available alternative and its expected effect on quality, features, or effort. Get the user's choice before a material compromise; otherwise state the fallback and continue. Never silently simplify the result or claim to have used a tool you did not use.

Requirements reported by the source: Install the creator-stated skill or plugin: Gradient-boosted pass modeling..

## Recreating this video

This is a visual reference. No original creator prompt is available. The following brief was written by Reference after inspecting the work.

Adapt the tabletop diorama approach to another spatial decision problem, such as warehouse routing or basketball positioning. Pair a simplified physical scene with its source footage, and place a few directly labeled candidate paths on the scene. Use consistent colors and identifiers to connect entities across the miniature and the supporting panels.

1. Open the live work or source and inspect the frame images below.
2. Adapt its layout, hierarchy, palette, and interaction patterns to the user's own content and brand.
3. Compare the result against the reference. Use your own assets and credit the original creator.

## What it looks like

Written by Reference from the video frames, not by the creator.

A miniature soccer field populated by small player figures, with tactical pass paths and probability-style estimates shown in interface panels.

- Color: Bright green turf, blue and dark uniforms, and charcoal interface panels with white and neon-green accents.
- Type: Stylized 3D sports-game visualization with compact tactical UI.
- Framing: Elevated oblique views place the field and players prominently, with rectangular analysis panels above or beside the pitch.
- Structure: Field markings and numbered players organize the play; thin directional lines connect players, while interface panels show field diagrams, controls, and estimates.

Storyboard, nine frames spread across the video: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/storyboard.webp

- Frame 1 at 1.7s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f1.webp
- Frame 2 at 5.1s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f2.webp
- Frame 3 at 8.5s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f3.webp
- Frame 4 at 12.0s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f4.webp
- Frame 5 at 15.4s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f5.webp
- Frame 6 at 18.8s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f6.webp
- Frame 7 at 22.2s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f7.webp
- Frame 8 at 25.6s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f8.webp
- Frame 9 at 29.0s: https://meetreference.com/media/video-tabletop-soccer-with-passing-lanes-a2b54a/f9.webp

## Links

- Watch: https://x.com/virtual_amir/status/2106387068070826373
- Original post: https://x.com/virtual_amir/status/2106387068070826373
- Discovery collection: https://data.openchamber.dev/opus-5-5-videos/v/virtual_amir-2106387068070826373