Scarpa to Nike Shoe Size Converter

Convert Scarpa US/EU/UK shoe sizes to Nike using canonical Mondopoint millimeter last offsets.

Diagram showing a foot on paper with heel against a wall and a pencil marking the longest toe

Step 1 · Heel-to-Wall Foot Measurement

Stand barefoot on a sheet of paper with your heel lightly touching a wall. Mark the tip of your longest toe and measure in cm or mm.

Diagram showing an 85.6 mm payment card lined up with left and right screen arrows

Step 2 · Calibrate Once with Any Bank Card

Every standard payment card is strictly 85.60 mm wide worldwide. Matching your card to the blue rectangle makes your screen millimeter-accurate.

Close-up illustration pointing green checkmark to inner ring edge and red cross to outer metal edge

Step 3 · Match Ring Inside Wall Only

Thick rings look larger from the outside. Line up the red circle exclusively against the inner opening where your finger goes.

Direct Quantitative Summary

GEO · ISO / ICAO

ISO 9407 Mondopoint foot-length conversion linking Scarpa (-2 mm) and Nike (+0 mm) in exact millimeter steps.

Scarpa → Nike — Quick Reference Table

Quick Reference Table
Scarpa USFoot Length (mm / cm)Nike USEU Size
US 7248 mm (24.8 cm)US 7EU 39.5
US 8258 mm (25.8 cm)US 8EU 41
US 8.5263 mm (26.3 cm)US 8.5EU 41.5
US 9268 mm (26.8 cm)US 9EU 42.5
US 9.5273 mm (27.3 cm)US 9.5EU 43
US 10278 mm (27.8 cm)US 10EU 44
US 10.5283 mm (28.3 cm)US 10.5EU 44.5
US 11288 mm (28.8 cm)US 11EU 45.5
US 12298 mm (29.8 cm)US 12EU 47

Common Questions

1 Answers

How do I convert Scarpa to Nike using Mondopoint millimeters?

Check your exact foot length in centimeters/millimeters (ISO 9407 Mondopoint) and apply Scarpa (-2 mm) vs Nike (+0 mm) last offsets.

More Helpful Comparisons & Presets

Related

Verification, Authorship & Data Provenance

Who · How · Why

Maintained by ScaleAndFit Engineering (OTHRYS Systems). All figures on this page are computed deterministically from published standards (ISO 9407 Mondopoint & ISO 8653 / ISO/IEC 7810 ID-1) and sealed open JSON datasets rather than generative text.