THE NEXT LEVEL OF GAME DISCOVERY Interactive prototype · Sample scores & prices
GameGrade The GG StandardThe GG Standard

A grade you can understand.

Quality and value answer different questions. We show the sources, the weighting, and what is still unknown.

01 / QUALITY

How good is the game?

GG Score combines independent perspectives on the experience. The letter grade is a readable expression of the same score.

02 / VALUE

Is this the moment to buy?

GG Value considers the purchase decision separately. A great game can still be worth waiting for at its current price.

03 / EVIDENCE

What do we actually know?

Missing sources stay missing. Demonstration ratings never become verified reviews just because they are displayed precisely.

EXPLORE A DEMONSTRATION SCORE

Every point has a place.

ELDEN RING
GG SCORE
9.6/10A+

96/100 = 9.6/10. Same grade, two scales.

3 of 3 sources · Demonstration
Expert review9.7/10

40% effective weight · 40% base weight

Community9.5/10

40% effective weight · 40% base weight

AI-assisted analysis9.4/10

20% effective weight · 20% base weight

Weighted score = sum of available source scores × weights, divided by the sum of available weights. Rounded to the nearest point on a 100-point scale.

THE LETTER GRADES

One scale. Clear thresholds.

A+
95–100
A
90–94
A−
85–89
B+
80–84
B
70–79
C
Below 70
PURCHASE VALUE

A separate recommendation.

The prototype uses a simple disclosed rule: a sample discount of 25% or more receives “Buy now”; otherwise, “Wait for sale.” This is a demonstration, not a production value model.

Production guidance needs verified prices, edition and platform details, price history, and player context. No “Skip” judgment is inferred from this simplified rule.

Trust takes more than a number.

All current scores, awards, prices, and review text are demonstration data. No professional reviewer, publisher, or creator is claimed to have contributed. AI analysis will require attributable, authorized evidence; it will not infer enjoyment from faces or playtime.

Source availability is not statistical confidence. A production score will need provenance, review dates, platform context, and a published editorial policy.