Enter your details
Example data table
| Applicant | Credit | DTI | Amount | Term | APR | Estimated probability |
|---|---|---|---|---|---|---|
| A (prime) | 760 | 28% | 15,000 | 60 | 9.5% | 82–90% |
| B (near-prime) | 700 | 38% | 20,000 | 72 | 13.9% | 60–75% |
| C (thin file) | 690 | 32% | 8,000 | 36 | 15.0% | 55–70% |
| D (high DTI) | 720 | 52% | 25,000 | 60 | 18.0% | 30–50% |
| E (credit stress) | 610 | 44% | 12,000 | 48 | 22.0% | 18–35% |
Formula used
- Monthly payment estimate (amortized): Payment = P·r·(1+r)^n / ((1+r)^n − 1) where r = APR/12 and n = months.
- Total DTI includes the new payment: DTI = (ExistingDebt + NewPayment) / GrossMonthlyIncome.
- Composite score adds weighted points from credit, DTI, LTI, employment stability, utilization, credit history, and negatives.
- Probability conversion uses a logistic curve: p = 1 / (1 + e^(−k·(Score − 50))). Odds are p/(1−p).
How to use this calculator
- Enter your latest credit score and monthly debt payments.
- Add the loan amount, term, and an estimated APR.
- Fill credit health details like utilization and recent inquiries.
- Click Calculate odds to view probability and guidance.
- Change one input at a time to compare scenarios.
- Use CSV or PDF to save your result summary.
Credit strength and approval bands
Credit score is a major screening signal. Many lenders treat 740–850 as prime, 670–739 as near‑prime, and 580–669 as higher risk. The model assigns more points as score rises from 300 to 850. A shift from 640 to 680 adds about 3 points to the composite score, which can change the odds when you are near the cutoff. Keeping revolving utilization under 30% and building a longer history can improve outcomes materially.
Debt ratios that move outcomes
Debt‑to‑income (DTI) uses existing payments plus the new estimated payment, divided by gross monthly income. Pricing often tightens once DTI moves above about 36%–45%, and risk rises quickly past 50%. Loan‑to‑income (LTI) is another constraint; requests above 5× annual income are commonly tougher to approve. Try lowering the amount, extending the term, or paying down revolving balances to reduce DTI, then rerun the scenario.
Loan sizing, term, and payment math
Monthly payment is estimated with standard amortization. With APR fixed, r = APR/12 and n is months, so payments change non‑linearly with rate and term. A 15,000 loan at 12% for 60 months is about 334 per month; at 18% it is about 381. Rate shopping improves payment and DTI together.
Stability signals and cash reserves
Stability indicators can support approval when ratios are borderline. Employment tenure above 2 years generally looks stronger than under 1 year. Reserves matter too: a 3–6 month cushion of total obligations is often viewed favorably. This calculator converts savings into “buffer months,” so adding savings or reducing debt can raise that measure.
Turning odds into an application plan
Use odds to prioritize the highest‑impact fixes. In the 50%–65% range, aim to keep utilization below 30%, DTI under 40%, and new inquiries low for several months. Above 80%, focus on cost: compare APR and fees, then export CSV or PDF to document the scenario you plan to submit today.
FAQs
What does the approval probability represent?
It is an estimate from a transparent scoring model and a probability curve. It reflects how your inputs compare to common risk patterns, not a lender decision. Use it to compare scenarios and prioritize improvements before applying.
Why does the interest rate affect my odds?
APR changes the estimated monthly payment, and that payment is added into debt-to-income. Higher APR usually raises payment and DTI, which can reduce the composite score. Lower APR can improve affordability without changing income or credit.
Which factors typically move the result the most?
Credit score, total DTI, utilization, and serious negatives often dominate. Loan size relative to income also matters. If your result is borderline, try lowering revolving balances, reducing the requested amount, or waiting to apply after fewer inquiries.
How should I read the odds number?
Odds convert probability into a ratio. For example, 2.0 to 1 means approval is estimated twice as likely as denial. If it shows 1 to 3, denial is estimated three times as likely as approval.
Does adding a co-applicant guarantee approval?
No. A co-applicant can help if their income, credit, and debt improve the combined profile, but lenders still evaluate full documentation and policies. Use the toggle to see whether the model improves when extra strength is added.
Is this the same as a lender pre-approval?
No. This is an educational estimator that uses your entries and simplified assumptions. Pre-approvals use verified documents, internal scorecards, and product rules. Treat this as a planning tool, then confirm with the lender.