NBME Score Converter Step 1 (Forms 25-31) | Free 2026

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NBME Score Converter Step 1 — Free NBME Score Predictor Step 1 (Forms 25–31) [2026]

The most accurate NBME score converter Step 1 tool online — supporting every CBSSA form from 25 through 31, each with its own validated regression formula. This NBME score predictor Step 1 tool instantly converts your raw score into a predicted USMLE Step 1 pass/fail outcome. Trusted by 12,000+ medical students.

12,000+ students
7 CBSSA forms covered
Personalized next steps

Looking for an accurate NBME score converter Step 1? This tool takes your CBSSA raw score (Forms 25 through 31) and converts it into a predicted USMLE Step 1 three-digit equivalent, using the exact regression formula built for each form — making it one of the most reliable NBME score predictor Step 1 tools available.

Unlike generic tools, this nbme score calculator step 1 dashboard accounts for the fact that every CBSSA form has its own difficulty curve — 50 wrong on Form 25 doesn’t mean the same thing as 50 wrong on Form 31.

Whether you searched for an “nbme step 1 score calculator forms 25 to 31” or a “free nbme score converter step 1 2026,” you’re in the right place — just pick your form and enter your result below.

Get your predicted score, pass probability, and a personalized next-steps plan in seconds — no sign-up required to see your result.

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Calibrating against form difficulty
2
Comparing with regression model
3
Estimating pass probability
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💡 NBME forms typically run 5–10 points below your real Step 1 exam score
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Compare your predicted Step 1 score with medical students worldwide across all NBME forms.

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NBME Score Converter Step 1: The Complete Guide to Forms 25–31

If you’re in your Step 1 dedicated period, you’ve probably already searched for an “nbme score converter step 1” or an “nbme score predictor step 1” more than once. With seven CBSSA forms in circulation (25 through 31), picking the right one — and reading it correctly — gets confusing fast.

This nbme score converter step 1 tool exists so you don’t have to hunt for a different formula every time you finish a form. Each CBSSA form has its own difficulty curve: 50 wrong on Form 25 predicts a different 3-digit score than 50 wrong on Form 31. The calculator above handles that math automatically, whichever form you pick.

🗓️ Recommended Order For Taking Forms 25–31

Based on feedback from thousands of test-takers, here’s the order that gets the most predictive value out of your NBME score converter Step 1 results without burning your best forms too early.

Weeks 1-2 of Dedicated

The Baselines: Forms 25 & 26

Take these early with any free nbme score converter step 1 tool. Form 25 is notoriously harsh on basic sciences, so it exposes weak spots fast. Form 26 is more balanced — low scores here are normal this early.

Weeks 3-4 of Dedicated

The Mid-Point Check: Forms 27 & 28

Use these after your first pass of First Aid. Form 27 leans heavily on microbiology and pharmacology, while Form 28 tests clinical reasoning with vague, wordy stems.

Final 2 Weeks

The Predictors: Forms 29, 30 & 31

These are the newest forms and the closest match to the real exam. Run your nbme score calculator step 1 result on these seriously — Form 31 especially reflects current Step 1 question style and length.

What Counts As A “Safe” Score On This NBME Score Calculator Step 1?

Step 1 is pass/fail, but you still need an internal benchmark. The official passing threshold sits around 196 — sitting for the real exam at 198 is still risky given test-day variance. Community consensus for a “safe zone” is a predicted 210+ on at least two consecutive late forms (29, 30, or 31), which works out to roughly 60–65 wrong answers, or about 68–70% correct.


Common Questions About This NBME Score Predictor Step 1 Tool

Q: Should I take forms online or offline?

A: Taking forms officially through NBME’s website is closest to the real interface. Many students still use offline PDFs to save money or retake a form — that’s exactly why a standalone nbme score converter step 1 tool like this one is useful for those attempts.

Q: My percentage correct stayed the same, so why did my predicted score change between forms?

A: Each form has its own regression multiplier. 70% correct on a harsher form (like 25) might predict a 212; 70% on an easier-curved form might only predict 208. The nbme score calculator step 1 formula above already adjusts for that per form.

Q: Can I just average every form score together?

A: Not all of them — a baseline from 6 weeks ago doesn’t reflect where you are now. The most reliable trend to watch is the average of your last three forms (typically 29, 30, and 31).

`; const win = window.open('', '_blank'); if (!win) { alert('⚠️ Popup blocked. Please allow popups to download PDF.'); return; } win.document.write(html); win.document.close(); win.focus(); setTimeout(() => win.print(), 500); }// ===== QUICK SAVE / EMAIL BOX (replaces old hard email gate) ===== if (qsbSaveBtn) { qsbSaveBtn.addEventListener('click', async () => { const name = document.getElementById('qsbName').value.trim() || 'Student'; const email = document.getElementById('qsbEmail').value.trim(); const msgEl = document.getElementById('qsbMsg');if (!email || !/^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(email)) { msgEl.textContent = '⚠️ Please enter a valid email address.'; msgEl.className = 'qsb-msg error'; return; } if (!calcData) { msgEl.textContent = '⚠️ Calculate your score first.'; msgEl.className = 'qsb-msg error'; return; }qsbSaveBtn.disabled = true; qsbSaveBtn.innerHTML = ' Saving...'; msgEl.textContent = '';try { const formData = new FormData(); formData.append('action', 'nbme_save_user_result'); formData.append('user_name', name); formData.append('user_email', email); formData.append('student_type', calcData.studentType || ''); formData.append('nbme_version', calcData.label); formData.append('exam_type', 'Step1'); formData.append('percentage_correct', calcData.pct); formData.append('wrong_answers', calcData.wrong); formData.append('predicted_score', calcData.score); formData.append('pass_probability', calcData.prob); formData.append('exam_date', ''); formData.append('weak_areas', ''); formData.append('show_leaderboard', 0);const response = await fetch(AJAX_URL, { method: 'POST', body: formData }); const data = await response.json();if (data.success) { msgEl.textContent = '✅ Saved! Check your email for your report.'; msgEl.className = 'qsb-msg success'; generatePDF(name, calcData); addToLeaderboard(name, calcData); } else { throw new Error((data.data && data.data.message) || 'Failed to save'); } } catch (error) { console.error('❌ Error:', error); msgEl.textContent = '⚠️ Error saving score. Please try again.'; msgEl.className = 'qsb-msg error'; } finally { qsbSaveBtn.disabled = false; qsbSaveBtn.innerHTML = ' Save & Email My Score'; } }); }// ===== LEADERBOARD (unchanged) ===== function addToLeaderboard(name, data) { const entry = { name, form: data.label, pct: data.pct, wrong: data.wrong, score: data.score, prob: data.prob, color: data.color, when: new Date().toLocaleString('en-US', { month: 'short', day: 'numeric', hour: '2-digit', minute: '2-digit' }) }; const arr = JSON.parse(localStorage.getItem(LBKEY) || '[]'); arr.push(entry); localStorage.setItem(LBKEY, JSON.stringify(arr)); renderLeaderboard(); }function renderLeaderboard() { const arr = JSON.parse(localStorage.getItem(LBKEY) || '[]') .sort((a, b) => b.score - a.score) .slice(0, 50);if (!arr.length) { lbBody.innerHTML = `🚀 No entries yet. Be the first to save your NBME score!`; return; }lbBody.innerHTML = arr.map((r, idx) => `#${idx + 1}${r.name.slice(0,1).toUpperCase()}${r.name}${r.form}${r.pct}%${r.wrong}/200${r.score}${r.prob}% `).join(''); }if (!localStorage.getItem(LBKEY)) localStorage.setItem(LBKEY, '[]'); renderLeaderboard();// ===== SHARE (unchanged) ===== function buildShareMsg() { if (!calcData) return ''; return encodeURIComponent( `🎯 My ${calcData.label} Step 1 Score Report\n\n` + `📋 NBME Form: ${calcData.label}\n` + `🎯 Predicted Score: ${calcData.score}\n` + `📊 Accuracy: ${calcData.pct}%\n` + `❌ Wrong Answers: ${calcData.wrong}/200\n` + `✅ Pass Probability: ${calcData.prob}%\n\n` + `Calculate yours: ${window.location.href}` ); }document.getElementById('shareReddit').addEventListener('click', () => { if (!calcData) return alert('⚠️ Calculate first!'); window.open(`https://www.reddit.com/submit?url=${encodeURIComponent(window.location.href)}&title=${encodeURIComponent('My ' + calcData.label + ' Step 1 Score: ' + calcData.score)}`, '_blank'); }); document.getElementById('copyLinkBtn').addEventListener('click', () => { navigator.clipboard.writeText(window.location.href).then(() => { const btn = document.getElementById('copyLinkBtn'); const original = btn.innerHTML; btn.innerHTML = ' Copied!'; setTimeout(() => btn.innerHTML = original, 1800); }); }); document.getElementById('shareFacebook').addEventListener('click', () => { window.open(`https://www.facebook.com/sharer/sharer.php?u=${encodeURIComponent(window.location.href)}`, '_blank'); }); document.getElementById('shareTwitter').addEventListener('click', () => { if (!calcData) return; const text = encodeURIComponent(`🎯 My ${calcData.label} Step 1 Score: ${calcData.score} | Pass Probability: ${calcData.prob}%`); window.open(`https://twitter.com/intent/tweet?text=${text}&url=${encodeURIComponent(window.location.href)}`, '_blank'); }); document.getElementById('shareInstagram').addEventListener('click', () => { if (!calcData) return alert('⚠️ Calculate first!'); alert(`📱 Instagram share:\n\n1. Screenshot your results\n2. Open Instagram\n3. Upload as a Story or Post\n\nYour ${calcData.label} Score: ${calcData.score}`); }); document.getElementById('downloadPDF').addEventListener('click', () => { if (!calcData) return alert('⚠️ Calculate first!'); generatePDF(document.getElementById('qsbName').value.trim() || 'Medical Student', calcData); });console.log('✅ NBME Score Predictor Step 1 (V3) Loaded');
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Medically Reviewed
Dr. James Lee, MD  ·  Internal Medicine · USMLE Step 1: 260
Board-certified physician · Reviewed for clinical accuracy & exam relevance · May 2026
✓ Verified Review
About the Author
RT
Richard
Founder & USMLE Data Researcher · NBMEScore.com
🌎 Newark, USA 💻 Full-stack developer 📊 Score data researcher

Richard is the founder of NBMEScore.com and has spent 2+ years collecting and analyzing real USMLE student score reports from r/step1, r/step2, and USMLE Discord communities to build the score conversion algorithms used on this site.

He is not a medical student — and he thinks that is part of what makes this work accurate. He approaches each scoring formula as a data problem: collect real reports, validate the pattern, and update whenever new data changes the curve. Every calculator has been cross-checked against at least 6 confirmed student score reports before going live.

Expertise
USMLE score prediction Statistical modeling IMG exam prep tools Community data aggregation
✓ Community-validated data ✓ Updated May 2026 ✓ 400+ reports analyzed

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