[!IMPORTANT] Industry Standard: Despite the advanced analytics in FICO 10T, most credit card issuers currently continue to use FICO Score 8 as their primary decision model.
FICO Score 10 and FICO Score 10T are the newest and most sophisticated versions of the FICO credit scoring model, released in 2020. These models are designed to give lenders a deeper look at your long-term financial behavior, though they have not yet displaced FICO 8 or FICO 9 in broad usage.
What Makes FICO 10 Different?
The standard FICO 10 model is an evolution of FICO 9, emphasizing consistent behavior. However, the 10T (Trended Data) version is the real game-changer.
- Trended Data (The ‘T’): Unlike previous models that only look at your balance at a single point in time, 10T looks at the last 24 months of data. It sees whether you are consistently paying off your debt or if your balances are slowly creeping up.
- Debt Sensitivity: FICO 10 is much harsher on “revolving debt” (credit card balances). If you start carrying a balance month-to-month, your score will likely drop further and faster under FICO 10 than under FICO 8.
- Personal Loans: This model treats consumers who use personal loans to pay off credit cards more cautiously, especially if they then proceed to run up the credit card balances again.
Why It Matters
FICO 10T is designed to reward “Transactors” (people who pay in full every month) and penalize “Revolvers” (people who carry balances). If you are a disciplined credit card user, your FICO 10T score might be significantly higher than your older FICO scores.
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Under FICO 10T, the “snapshot” approach—where you pay down balances right before a statement closes—is less effective because the model sees your history over two years. The best strategy is consistent, on-time payments and avoiding revolving debt entirely.
Other FICO Versions
- FICO Score 8: The most widely used model for credit card applications.
- FICO Score 9: Optimized for medical collections and rental history.
- FICO Score 10 & 10T: The latest model featuring trended data analysis.