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DraftLab 27 / Extract College Football 27 roster stats from screenshots or MP4
Capture Lab tutorial

Extract College Football 27 roster stats from screenshots or MP4

Capture Lab helps turn visible College Football 27 roster rows into editable player records. It recognizes the table, compares numeric readings, and asks you to verify uncertain attributes before importing.

What Capture Lab looks like

DraftLab 27 Capture Lab screenshot showing School/Team, Draft Year, the screenshot upload control and processing options
Illustrative Capture Lab view. Input and review controls vary with the capture type and screen size.

Begin on DraftLab, choose Capture lab in the sidebar, set the team and intended draft year, and then upload the relevant roster screen. The app uses the Review step before adding records to your roster.

What Capture Lab reads

The browser-based scanner attempts to capture player names, class years, positions, overall ratings and visible numeric attributes such as Speed (SPD), Acceleration (ACC), Agility (AGI), Change of Direction (COD), Strength (STR) and Awareness (AWR). It can also attempt to read the NIL number next to its game icon.

It only reads fields shown in your capture. It cannot recover information hidden off-screen, infer invisible columns, or guarantee that every digit is correct.

How to get a cleaner screenshot

  1. Pause on the roster grid with all desired columns fully visible.
  2. Prefer your console or PC's original screenshot over a phone photograph of a TV.
  3. Capture at the highest practical resolution and avoid JPEG compression where possible.
  4. Keep the full first and last player rows visible, plus a little margin around the table.
  5. If you know how many rows should be captured, enter that expected count before scanning.
  6. Compare every uncertain rating against the original image before approval.

How to capture an MP4

Record the roster while slowly scrolling, briefly holding each screen steady. Overlapping rows help the scanner identify the same player across frames instead of creating duplicates. Keep menus, overlays and pop-up notifications out of the roster area when possible.

The scanner combines readings from selected frames, but video compression, motion and low resolution can still cause incorrect numbers. Recheck the review queue, especially ratings and NIL values.

Review the results before importing

DraftLab 27 compact review rows for two fictional players, with editable name, position and rating fields
Example review editor using fictional sample players. Review uncertain values against your source image, then approve the correct rows.

If Capture Lab reports conflicting speed or acceleration values, compare those fields with the original screenshot and enter the right number manually. Missing full names should remain unexpanded unless a game detail panel confirms them. Download a review backup if you need to move an unfinished review to another device.

What the second numeric reader does

DraftLab uses OCR plus an experimental digit-shape second reader for some numeric cells. If they disagree, the review interface may suggest a candidate such as “Use 77?” rather than silently replacing the original. This second reader is experimental and does not eliminate the need to verify player stats.

When a value is incorrect, you can edit the field. Approval should follow verification, not replace it.

Report an accuracy problem

Open DraftLab 27, choose Feedback near Sign In, select Capture Lab accuracy, and describe what was detected versus what was displayed in the game. Attach a cropped screenshot if helpful. Only information you explicitly send through the feedback form is delivered to the development inbox.

Ready to turn your dynasty into a draft board?

Start with a screenshot, verify the recognized values, then build your custom scouting list in DraftLab.

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