The distance from 3.49 to 3.50 is tiny. As a psychological boundary for users, it is large.
3.49 and 3.50. The difference is 0.01. But for someone choosing where to eat, the impression changes completely.
Faced with a Tabelog score below 3.5, many people read it as “ordinary” or “not especially well rated.” But place the displayed score next to the simple average of user ratings shown on the distribution page, and that impression starts to waver.
For 2026 we examined the Tabelog displayed score, the Tabelog simple average and the Google rating separately — not treating any one number as absolute, but asking what each of them reflects.
“A score is not the answer.DATA POLICY / TOKYO HAMBURG GRAND PRIX 2026
It is a way in to looking again.”
CASE 01
Between the score you see
and the average of those who posted.
The Tabelog displayed score is the number most people meet first. The simple average is closer to the plain mean of the scores people actually submitted.
They are not the same. The displayed score is produced by the platform's own method; the simple average shows the distribution of user ratings more directly. Neither is the correct one — they do different jobs.
VISIBLE SCORE3.32Tabelog displayed score
＋0.67
USER AVERAGE3.99Simple average of user ratings
BISTRO TARO azabujuban is a striking case: a displayed score of 3.32 against a simple average of 3.99. Because the restaurant is related to the organiser, it is excluded from selection and from the awards, and is used here only as a reference example of the gap.
VOICE
Looking at the numbers,
how should we read them?
Editorial Team
What did you make of the gap between the displayed score and the simple average?
Tadashi Iwamoto
Honestly, I found it interesting. There is a real difference between the number most people see and the average of those who actually rated the place. The displayed score has its own meaning, but if you are going to compare against Google ratings, it is fairer to look at the simple average as well.
Kazuyuki Matsushima
From the point of view of someone who eats out constantly, deciding on a restaurant by the displayed score alone is risky. There are places that stay with you without a high score, and the reverse is also true. Numbers are a way in, not an answer.
DIFFERENCE TABLE
Where the gap from the displayed
score was largest.
| Restaurant | Displayed | Simple avg. | Gap | Note |
|---|---|---|---|---|
| BISTRO TARO azabujuban | 3.32 | 3.99 | +0.67 | Reference listing |
| Ginza Yoshizawa Nikudokoro (銀座吉澤 肉処) | 3.50 | 3.92 | +0.42 | Reference listing |
| Ginza Nitto Corner 1948 (銀座日東コーナー1948) | 3.44 | 3.84 | +0.40 | 2025 winner / reference |
| RESTAURANT delices | 3.48 | 3.78 | +0.30 | Large gap from displayed score |
| Shichijo (七條) | 3.68 | 3.94 | +0.26 | High on both measures |
| Hamburg to Hamburg (ハンバーグとはんばーぐ) | 3.47 | 3.72 | +0.25 | Under 3.5, yet a high simple average |
| Mori no Chaya (森の茶屋) | 3.49 | 3.74 | +0.25 | The strength of neighbourhood yoshoku |
| Yoshokuya Mac (洋食屋マック) | 3.49 | 3.74 | +0.25 | The strength of neighbourhood yoshoku |
Note: Ginza Yoshizawa Nikudokoro is a reference listing because its ratings mix several formats, including sukiyaki and yakiniku, making it hard to compare on equal terms with yoshoku hamburg restaurants.
INSIGHT
Don't take under 3.5
as a low rating.
Separating the displayed score, the simple average and the Google rating gives a three-dimensional view of how a restaurant is supported.
In the end you have to eat the food and look at the meat, the doneness, the sauce, the rice and the garnish.
What the data is for
This comparison is not there to decide a final ranking. It is material for examining how public ratings read and for looking again at the restaurants under consideration. Related restaurants are excluded from the awards in the interests of fairness.
Is a Tabelog score under 3.5 really a low rating? The answer is that no single number can decide it.
Among the restaurants that are hard to see through the displayed score, some are strongly supported in the simple average. Set that beside the Google rating and yet another kind of strength appears. Data is used not to decide on a restaurant, but to look at it again.