Calculate couples match program pairs step-by-step: optimize overlap, build realistic rank lists, and maximize your residency match odds.
Results for "match math"
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Practical math for prelim+advanced applicants: calculate how many apps and interviews form viable pairs, reduce advanced-only risk, and improve match chances.
How program size and rank list length drive residency match chances. Use NRMP-backed math to optimize your rank list and boost match probability for applicants.
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Residency Ranking Strategy
The Myth of 'Overranking' Top Programs: How the Algorithm Really Works
Understand why the NRMP algorithm makes 'overranking' harmless. Rank programs by true preference, avoid under-ranking, and boost your Match odds. Read the math.
Best Strategies for SOAP
How Many Programs to Target in SOAP? A Quantitative Approach
Data-driven framework to decide how many programs to target in SOAP. Learn probability math, target ranges (25-40), and time-fit trade-offs.
How Many Programs Should You Apply To?
The Real Difference Between Applying to 20 vs 40 Programs in Competitive Fields
Decide whether to apply to 20 or 40 residency programs in competitive specialties, learn the math, risks, and strategies to maximize interview yield.
Physician Side Hustles
Locum Tenens vs Moonlighting: Which Side Hustle Pays Doctors Better?
Compare locum tenens vs moonlighting pay with real-world math, hours, travel, taxes, and contracts, to choose the better physician side hustle.
How Many Programs Should You Apply To?
Prelim vs Categorical: How Many Extra Programs Do You Really Need?
Discover the real math for prelim vs categorical lists. Learn how many extra programs you need to secure a residency spot this cycle.
How Many Programs Should You Apply To?
The Data-Driven Guide to Cutting or Adding Programs After Away Rotations
Learn when to cut or add residency programs after away rotations using interview probability, fit signals, and application-yield math.
Best Strategies for SOAP
Data Comparison: Academic vs Community SOAP Chances (Categorical vs Prelim)
Learn how academic vs community SOAP odds change by categorical vs prelim track, use compatible data to prioritize late applications and avoid bad math.