EV/EBITDA Calculator
The formula
What the ev/ebitda tells you
Whether ev/ebitda is worth playing at all: the expected value of one attempt, the break-even win rate, and the edge you hold over it.
Calculation: EV = p×gain − (1−p)×loss; break-even win rate = loss ÷ (gain + loss). Enter your inputs and every substitution is shown below the result.
Reading the result
A positive EV with ruinous variance is still a trap — the per-100-attempts line is the budget reality check.
Limitations and best practice
Probability estimates are where people fool themselves; anchor win % to observed frequency, not hope.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Is positive EV enough?
How many samples to trust the number?
Source & methodology
Expected value; foundational decision theory.
How EV/EBITDA works — and what your result really means
This page was written for one job: turning your own inputs into a defensible figure, with the working shown. Searchers land on an EV/EBITDA page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.
A calculation like this one is worth roughly as much as a careful sentence: it forces several vague considerations into one comparable quantity. Once EV/EBITDA is on the table, the argument can stop being about impressions.
In Investing & Markets the same quantity is often quoted under two or three different conventions. The formula printed above fixes one convention and applies it consistently, which is what makes results from this page comparable with each other.
Every figure in the prose is generated by the engine rather than written beside it — the worked example resolves to expected value per attempt = $2.40 on the default inputs, and the sensitivity section ranks the inputs that move the result — Win probability first, at ≈210.0 % of the headline for a ten-percent error either way in that input. Work down the page and by the end you could re-derive the result in a spreadsheet from memory.
Inside the EV/EBITDA calculation: formula and every input
Here is the complete model this tool runs — EV = p×gain − (1−p)×loss; break-even win rate = loss ÷ (gain + loss) — with each input explained below. If a competitor’s page gives you a different answer from the same inputs, this is the text that settles which of you is right.
Win probability (%) (example value 40) is a plain measured quantity — the unit shown in the label is the unit the formula expects. Rates are the most mis-transcribed input on any page like this; copy it from the document rather than retyping from memory.
Gain per win ($) (example value 78) is a plain measured quantity — the unit shown in the label is the unit the formula expects. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Loss per defeat ($) (example value 48) is a quantity rather than a category — precision here is cheap and worth having. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
EV/EBITDA on the example inputs: the complete substitution
Rather than describe the calculation, here it is end to end — every substitution in order, starting from the inputs above. Starting figures: Win probability (%), Gain per win ($), Loss per defeat ($). The endpoint of that chain is $2.40 of expected value per attempt, sitting in the “Positive but thin — costs and variance can erase the edge” band.
- EV = 0.40 × $78.00 − 0.60 × $48.00 = $2.40
- Break-even p = 48 ÷ (78 + 48) = 38.10 %
Break-even win rate — 38.10%. This is the number experienced users quote when the headline alone would mislead.
Edge over break-even — 1.90 pts. Compare it against the main result of $2.40 before drawing conclusions.
EV per 100 attempts — $240. Read next to the headline, this is the figure that shows the shape of the trade-off.
Re-running with your own figures is instant; re-running by hand once is the best way to know the tool is telling you the truth.
How far EV/EBITDA can reasonably move
Single-point answers invite false confidence, so the same engine was run across a band around the input that matters most here. Each row is a full recalculation of EV/EBITDA, not an interpolation.
| Win probability setting | Expected value per attempt |
|---|---|
| 80 % of the example value | $-7.68 |
| 90 % of the example value | $-2.64 |
| example inputs | $2.40 |
| 110 % of the example value | $7.44 |
| 120 % of the example value | $12.48 |
That spread — $-7.68 at the low end, $12.48 at the high — is what a careful read of EV/EBITDA looks like: a band you can state out loud, with the reason for each edge. Reproduce it in the form above by editing Win probability alone; the substitution steps will follow your figures exactly.
The levers behind EV/EBITDA, ranked by effect
This list was computed for this specific engine just now: each numeric input was nudged ±10 % while every other field held its example value, and the expected value per attempt was recalculated from scratch. For EV/EBITDA the ranking is measured rather than guessed, and it belongs to these defaults: shift the starting point and the order can shift with it.
- Win probability +10 % → EV/EBITDA = $7.44 · −10 % → $-2.64 (the expected value per attempt shifts ≈210.0 %)
- Nudge Gain per win by ±10 % and EV/EBITDA lands between $-0.72 and $5.52 (sensitivity ≈130.0 %)
- Nudge Loss per defeat by ±10 % and EV/EBITDA lands between $-0.48 and $5.28 (sensitivity ≈120.0 %)
Win probability is the dominant lever here: ten percent either way moves the result by about 210.0 %, from $-2.64 to $7.44. That is where a careless figure does the most damage, so check it against a source, and treat Gain per win as the second priority (≈130.0 % per ten percent). Everything below that can stay approximate, which is a licence to stop chasing data that would not change the decision.
Reading the result: bands, zones and thresholds
Nobody acts on a bare figure — they act on a figure with a comparison attached. The default case lands in the “Positive but thin — costs and variance can erase the edge” band, and bands are deliberately wide because real situations overlap. How much of that band is luck? On Win probability alone ten percent either way covers $-2.64 to $7.44. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.
Compared with charting sites, this page explains the formula rather than hiding it — the goal is a number you can defend in a meeting, not just display.
How people get EV/EBITDA wrong
Probability estimates are where people fool themselves; anchor win % to observed frequency, not hope. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Copying a single headline number without checking the companion outputs. The tool reports Break-even win rate, Edge over break-even and EV per 100 attempts alongside the main result precisely because EV/EBITDA in isolation misleads — the secondary columns are where outliers and trade-offs show up.
Attention is also misallocated between fields. Having measured this engine, we can say where it belongs: Win probability first, everything else second.
A final trap is presentation: reporting EV/EBITDA to more decimal places than the inputs support. The tool prints what the arithmetic gives; you should quote only what your least precise field justifies.
Six things to confirm before acting on EV/EBITDA
- Verify each input against its original source document, not memory.
- Check that every field the formula needs actually arrived from a document, not from recollection.
- Put Win probability under a magnifier; the sensitivity table above is the reason why.
- Note the date and the inputs beside the number so the figure can be audited later.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
Five steps from raw inputs to a figure you can defend
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — one document, one pass. Open the statement, label or record that holds win probability (%), gain per win ($), loss per defeat ($) and transcribe straight into the form. Transcription from a single source removes the mismatch errors that appear when figures are assembled from three different places. A figure with a date beside it becomes evidence; without one it stays an anecdote.
Step 2 — baseline before exploration. Get one defensible Expected value per attempt on screen before you start nudging numbers. Without a baseline, every variation looks interesting and none of them means anything. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
Step 3 — play with the inputs on purpose. Ten percent up, ten percent down, one field at a time. Within a few minutes you will know this calculation better than most people who quote its results. Write the assumptions in the same file as the result, and future arguments take minutes instead of meetings.
Step 4 — stress before you commit. A decision that survives a ten-percent squeeze on its two biggest inputs needs no luck to be sound. One that does not survive is a decision about hope, not about arithmetic. The input you reach for first is usually the one you measured longest ago.
Step 5 — save the story with the figure. A number without its inputs and its date is unusable within a quarter. Record $2.40, the assumptions behind it, and today’s date; your future self will be auditing a stranger’s arithmetic. Repeating a calculation with the same numbers proves only that the arithmetic is reliable — which is worth knowing.
From calculation to decision: where EV/EBITDA earns its keep
In Stocks & Equities the figure computed here is usually the first one somebody asks to see. Having it — with the formula behind it — changes your position in the conversation from participant to reference. Note the assumption you are least sure about; that is where the real risk lives.
The audience for this page is people who need one trustworthy number before their next decision. In professional Stocks & Equities practice the pattern is always the same — screen with EV/EBITDA, then invest slow analysis only in whatever survives the screen. Most surprises in numbers are surprises about inputs, not about formulas.
There is a personal-administration use people overlook: periodic self-checking. EV/EBITDA quietly drifts as life changes — rates move, bodies change, costs compound — and re-running it a few times a year catches drift while correction is still cheap. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
The questions that come up most about EV/EBITDA
What affects EV/EBITDA the most?
The short answer: Win probability. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the expected value per attempt recalculated — Win probability moved it furthest, by roughly 210.0 % ($-2.64 to $7.44).
Which matters more: gain per win or win probability?
Win probability, by a factor of about 1.6. Concretely: ten percent on Win probability is worth ≈210.0 % of EV/EBITDA, the same nudge on Gain per win only ≈130.0 %. That ranking is re-computed for each page from that page’s own defaults.
What is a typical EV/EBITDA?
With the example inputs on this page the result is $2.40, labelled “Positive but thin — costs and variance can erase the edge”. “Typical” varies with situation, which is why every result here ships with its verdict band and its sensitivity list: they turn one figure into a range you can locate yourself inside.
How do I calculate EV/EBITDA by hand?
Three steps: write the formula (EV = p×gain − (1−p)×loss; break-even win rate = loss ÷ (gain + loss)), insert your values, and simplify. The worked example section shows exactly that chain for the default inputs; replicating it once on paper teaches you more about EV/EBITDA than any number of calculator runs.
What happens to EV/EBITDA if win probability changes by 10 %?
The engine was re-run with that field moved by ten percent while everything else stayed fixed: the expected value per attempt goes across $-2.64 to $7.44, a swing of roughly 210.0 % around the $2.40 baseline. That ratio is the practical definition of how much this input matters.
Is the EV/EBITDA result of $2.40 good or bad?
The tool answers “what”, not “whether”: $2.40 carries the verdict “Positive but thin — costs and variance can erase the edge” for the default case, which is a starting interpretation rather than a verdict on your situation. Re-run with your own figures and compare the bands.
How do I calculate EV/EBITDA manually?
Write down the inputs, then follow the printed steps in order — EV = p×gain − (1−p)×loss; break-even win rate = loss ÷ (gain + loss). A spreadsheet replicates it with two or three cells. The manual route is worth doing once to build intuition; after that the calculator saves time and eliminates transcription slips.
Can I predict future returns with EV/EBITDA?
No tool predicts; EV/EBITDA computes implications. Use it to ask "if these inputs hold, what follows" — then stress the assumptions.
Is positive EV enough?
It is necessary but not sufficient — bankroll sizing (Kelly criterion) exists precisely because variance can kill a positive-EV player before the edge pays.
How many samples to trust the number?
Rule of thumb: hundreds, not dozens — the standard error of a 40 % estimate needs ~600 trials to shrink under 2 points.
Does this EV/EBITDA tool store my numbers?
No. The entire calculation runs in your browser session; nothing entered above is transmitted or saved, which is the correct behaviour for sensitive Investing & Markets figures and the reason you can re-run this page as often as you like.
Key terms on this page
- Break-even win rate
- 38.10% in the default EV/EBITDA calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Edge over break-even
- 1.90 pts on the example inputs — a companion figure printed beside the headline of EV/EBITDA so that no result is read in isolation.
- EV per 100 attempts
- $240 in the default EV/EBITDA calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Expected value per attempt
- The primary output of this tool: $2.40 for the default inputs, computed exactly from EV = p×gain − (1−p)×loss; break-even win rate = loss ÷ (gain + loss).
- Worked example
- The step-by-step substitution printed above, so the arithmetic can be re-derived by hand or in a spreadsheet.
- Verdict band
- The plain-language label — here “Positive but thin — costs and variance can erase the edge” — mapping the computed figure onto experience-based ranges for Investing & Markets.
- Sensitivity (±10 %)
- How far the EV/EBITDA moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
The provenance of this EV/EBITDA calculation
The model is published arithmetic implemented exactly as written: EV = p×gain − (1−p)×loss; break-even win rate = loss ÷ (gain + loss). Source of record: Expected value; foundational decision theory. Specialist software layers extra coefficients on top of the same algebra; none are hidden here, and that transparency is what makes a disagreement traceable to a specific input instead of a black box.
Treat the output as a precise answer to the question you typed: exact arithmetic, transparent formula, published source, no hidden rounding. Nothing is smoothed, weighted or adjusted behind the scenes; where judgement enters, this page says so and names the input responsible.
What to do with your EV/EBITDA next
Save the number together with its inputs and today’s date; an EV/EBITDA figure without context is unusable the moment an input changes.
Whoever you are (people who need one trustworthy number before their next decision), the next step is the same: replace the example inputs with your own, note the date, and re-run whenever a figure moves. In Investing & Markets, a dated figure is a trend, and an undated one is a rumour.