At a Glance
All upcoming releases ranked by Hype Score. Click any title to jump to the full card.
| # | Film | Days | D1 Range | Tier | Hype |
|---|---|---|---|---|---|
| 1 | Varanasi | T-344 | ₹95.0–235.0 | ATB Watch | 64.5 |
| 2 | Ramayana | T-197 | ₹44.1–189.4 | ATB Watch | 62.5 |
| 3 | Love & War | T-268 | ₹28.0–62.0 | Blockbuster | 58.5 |
| 4 | Peddi | T-58 | ₹37.0–170.7 | Blockbuster | 57.0 |
| 5 | 3 Idiots 2 NEW | T-360 | ₹25.0–60.0 | ATB Watch | 56.0 |
| 6 | King | T-242 | ₹36.2–87.3 | Blockbuster | 52.0 |
| 7 | Ranveer × Aditya Dhar (Untitled) NEW | T-722 | ₹25.0–50.0 | ATB Watch | 52.0 |
| 8 | Raja Shivaji 📅 | T-3 | ₹6.5–18.0 | ATB Watch | 51.0 |
| 9 | Avengers: Doomsday | T-234 | ₹11.4–96.6 | Hit | 48.0 |
| 10 | Bhediya 2 | T-108 | ₹9.9–72.3 | Hit | 47.0 |
| 11 | Pati Patni Aur Woh Do | T-18 | ₹2.4–11.5 | Average | 45.5 |
| 12 | Golmaal 5 NEW | T-563 | ₹18.0–32.0 | Hit Watch | 41.5 |
| 13 | Lahore 1947 | T-107 | ₹3.7–54.0 | Average | 41.0 |
| 14 | Hai Jawani Toh Ishq Hona Hai | T-24 | ₹4.5–14.0 | Average | 38.5 |
| 15 | Cocktail 2 | T-52 | ₹2.3–12.6 | Underperformer | 36.0 |
| 16 | Ek Din 📅 | T-3 | ₹1.8–5.5 | Underperformer | 32.0 |
| 17 | Awarapan 2 | T-108 | ₹1.7–6.6 | Underperformer | 28.0 |
| 18 | Khosla Ka Ghosla 2 | T-122 | ₹1.8–7.6 | Underperformer | 24.5 |
Forecast Cards
Every film below ships with the BCM forecast range, confidence read, and tier. Editorial taglines provide context. Methodology stays internal — what you see is what BCM produces, on the public record before each film releases.
How the Hype Index Works
The Hype Score (0–100) is an at-a-glance signal of pre-release momentum. Higher scores indicate films with stronger forecast tiers, more pre-release signal strength, and closer release windows. 70+ flags HIGH HYPE; 50-69 is ELEVATED; 35-49 is MODERATE; below 35 is LOW HYPE. The score reflects pre-release anticipation, not a guaranteed outcome.
The Forecast Range is BCM's calibrated 90% confidence interval for opening day. A real forecast for a film weeks out lives inside a meaningful range, and the range is the honest answer. If a film opens outside the published range, the model was wrong — and we publish that too.
The Confidence Read tells you how much weight to put on the forecast. Films far from release inherently have less reliable signals, so confidence is calibrated against release proximity, signal strength, and the model's internal assessment of how well-anchored the forecast is. A Low confidence forecast is honest signal — it means the model knows the future is uncertain.
Methodology stays internal. BCM is Boxoffy's proprietary forecasting framework, refined over years of tracking Indian box office. We publish the outputs, not the engine. What you can audit is the track record: every film on the Hype Index has its forecast on the public record before release. When the film opens, we publish what BCM called and what actually happened.
What is the Boxoffy Hype Index?
The Boxoffy Hype Index is a 0-100 score that measures pre-release anticipation for upcoming Indian films. It blends the BCM forecast tier, pre-release signal strength, and proximity to release.
Why ranges instead of single numbers?
A point forecast that reads "₹X Cr" sounds precise but isn't. A real forecast for a film weeks out from release lives inside a meaningful range, and the range is the honest answer. A single point estimate hides the uncertainty that's genuinely there.
Why are forecasts often shown with Low confidence?
Confidence reflects how trustworthy the forecast is, not how exciting the film is. Films more than a couple of months from release have inherently less reliable pre-release signals. A Low confidence forecast is honest signal — it tells you the model knows the future is still uncertain.
How will we know if BCM is any good?
By the track record. Every film on the Hype Index has its forecast on the public record before it releases. When the film opens, we publish what BCM called versus what actually happened — the hits, the near-misses, and the embarrassing whiffs. That's the test. Nothing else really matters.