What is Most Likely Forecast?
The most likely forecast is the honest expectation: not the safe floor, not the optimistic ceiling, but the number a team truly expects to land.
It is the anchor of scenario forecasting, the central case around which worst and best case define the range of uncertainty.
Short answer
The most likely forecast is the realistic central estimate of what a team expects to close, sitting between the worst case floor and best case ceiling. It blends high-confidence commit deals with a reasonable share of best-case upside to represent the genuine expectation. As the middle of a scenario range, it is the number most planning and expectation-setting should anchor to.
Key takeaways
- The realistic central revenue estimate.
- Sits between worst case and best case.
- Blends commit with a share of best-case upside.
- The number planning should anchor to.
Why it matters
Anchoring plans to either the floor or the ceiling misleads. The most likely forecast represents the genuine expectation, giving leadership the truest single number to plan around within the scenario range.
How Ardovo handles it
Ardovo computes a most likely forecast from commit plus a calibrated share of best case, so Rook presents the realistic central number alongside the worst and best case boundaries for a complete range.
Frequently asked questions
What is a most likely forecast?
It is the realistic central estimate of what a team expects to close, between the worst case floor and best case ceiling. It blends high-confidence commit deals with a reasonable share of upside to represent the genuine expectation.
How is most likely different from commit?
Commit is only the deals a rep pledges will close. The most likely forecast adds a calibrated share of best-case upside to reflect what realistically lands, so it usually sits above commit and below best case.
Which forecast number should I plan on?
Generally the most likely case for expectation-setting, while using worst case to stress-test downside and best case to frame upside. Planning on the realistic central estimate avoids both over-optimism and excessive caution.