Okay now that end of year data is published by USTA and updated in TennisRecord, let's see how well TR does in forecasting "bump up" or "bump down". TR publishes a "2022 Projected Rating" (which is not available on website anymore). I took a snapshot of all the TR year end projections and compared to USTA 2023 actual ratings.
Disclaimer: I don't work for TR.
I find TR data very helpful giving relative performance to other team members and leagues. As a USTA captain, it's good to see who we are playing against as the dynamic ratings reflect, in general, the strength of the players. I do see some discrepancies when it comes to single specialists vs doubles but overall TR is better than any other tool out there for updated information. Let's give them a round of applause for providing this info for free. My unpopular opinion is that it's ran by USTA shell company / ex-employee only because the site is a mystery with no contact information, the WHOIS domain is masked, etc.
The Results
The orange line means TR was correct for the level. Read the chart from the bottom up. For example, for Females that stayed "same", there were 35k women at 3.5 level.
@schmke if you want to slice and dice this data more, send me a PM and I'll send it to you. Also I will not do any more analysis on this data as I'm busy watching the World Cup.
Disclaimer: I don't work for TR.
I find TR data very helpful giving relative performance to other team members and leagues. As a USTA captain, it's good to see who we are playing against as the dynamic ratings reflect, in general, the strength of the players. I do see some discrepancies when it comes to single specialists vs doubles but overall TR is better than any other tool out there for updated information. Let's give them a round of applause for providing this info for free. My unpopular opinion is that it's ran by USTA shell company / ex-employee only because the site is a mystery with no contact information, the WHOIS domain is masked, etc.
The Results
- Overall score (bump up + bump down + stay same) / total ==> 84% correct.
- If TR had you as "bump up", probability it was correct for male/female: 64% / 76%
- If TR had you as "bump down, probability it was correct for male/female: 44% / 45%
- If TR has you as "same", probability it was correct for male/female: 93% / 92%
- The lower your rating, the higher probability the bump up/down was correct. For example, if you were a 2.5 female and TR said you were getting bumped up, 84% it was correct.

The orange line means TR was correct for the level. Read the chart from the bottom up. For example, for Females that stayed "same", there were 35k women at 3.5 level.
@schmke if you want to slice and dice this data more, send me a PM and I'll send it to you. Also I will not do any more analysis on this data as I'm busy watching the World Cup.