Pull Buoy Effort Calculator
The formula
What the pull deficit tells you
How far off free-swim pace the buoy-and-pull set runs — a read on arm dominance, catch quality and how much the kick was actually contributing.
Calculation: Pull deficit = (pull − free)/free; kick cost = HR gap. Enter your inputs and every substitution is shown below the result.
Reading the result
A small deficit with low HR means strong pull propulsion; a big deficit with high HR is dead-spot pulling that paddles will punish.
Rules of thumb: Pull-only within 4–8 % of CSS is typical for trained distance swimmers
Limitations and best practice
The buoy holds the hips unnaturally high — pull-only pace is not a fitness test, it is a technique partition.
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
Should pull pace ever match free pace?
Do paddles belong with the buoy?
Source & methodology
Colado/Santos upper-body isolation studies.
How Pull Buoy Effort works — and what your result really means
You are here because you need a specific number, and you want to see how it was produced before you rely on it. Searchers land on a Pull Buoy Effort 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.
Individual variation is large here: limb proportions, fibre mix and history all shift how a population-average Pull Buoy Effort maps to you. Use it as a starting prescription, then let performance feedback over weeks tune it.
People rarely disagree about arithmetic; they disagree about assumptions that were never written down. Printing the substitution and the sensitivity ranking removes that category of disagreement for Pull Buoy Effort.
What makes a calculation page trustworthy is that its copy is derived from its own arithmetic: here pull-only deficit = 6.3 s/100 equivalent %, recomputed every time a field changes, and the sensitivity section ranks the inputs that move the result — CSS pace /100 first, at ≈188.9 % of the headline for a ten-percent error either way in that input. Read the sections in order and you will be able to reproduce every figure by hand.
How Pull Buoy Effort is computed, line by line
Here is the complete model this tool runs — Pull deficit = (pull − free)/free; kick cost = HR gap — 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.
Pull-only pace /100 (s) (example value 85) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
CSS pace /100 (s) (example value 80) 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.
Pull-session HR (bpm) (example value 140) is a measured number in the unit named by the label; the formula does not convert for you. This input feeds the formula directly; a defensible figure here is worth more than false precision anywhere else.
Max HR (bpm) (example value 188) is a plain measured quantity — the unit shown in the label is the unit the formula expects. This input feeds the formula directly; a defensible figure here is worth more than false precision anywhere else.
Pull Buoy Effort 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: Pull-only pace /100 (s), CSS pace /100 (s), Pull-session HR (bpm), Max HR (bpm). The endpoint of that chain is 6.3 s/100 equivalent % of pull-only deficit, sitting in the “Pull-only runs 6.3 % slower than free swim — the arms alone are carrying 75 % of the boat; at 74 % HR the buoy work isolates the lats without the leg tax” band.
- Deficit = (85.0 − 80.0) ÷ 80.0 = 6.3 %
- Rule of thumb: 1 % deficit ≈ 4 % of propulsion from the legs
- HR 140 ÷ 188 = 74.5 % max
Pull pace /100 — 85.0 s. This is the number experienced users quote when the headline alone would mislead.
Pull HR %max — 74.5%. Compare it against the main result of 6.3 s/100 equivalent % before drawing conclusions.
Implied kick drag — 75.0 %. Compare it against the main result of 6.3 s/100 equivalent % before drawing conclusions.
Paddles pairing — paddles safe to add. This is the number experienced users quote when the headline alone would mislead.
Keep this worked example open while you enter your own figures: matching the shape of the substitution is the fastest way to spot a unit or convention mistake.
Scenario table: Pull Buoy Effort at ±10 % and ±20 % of the key input
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 Pull Buoy Effort, not an interpolation.
| CSS pace /100 setting | Pull-only deficit |
|---|---|
| 80 % of the example value | 32.8 s/100 equivalent % |
| 90 % of the example value | 18.1 s/100 equivalent % |
| example inputs | 6.3 s/100 equivalent % |
| 110 % of the example value | -3.4 s/100 equivalent % |
| 120 % of the example value | -11.5 s/100 equivalent % |
That spread — -11.5 s/100 equivalent % at the low end, 32.8 s/100 equivalent % at the high — is what a careful read of Pull Buoy Effort looks like: a band you can state out loud, with the reason for each edge. Reproduce it in the form above by editing CSS pace /100 alone; the substitution steps will follow your figures exactly.
The levers behind Pull Buoy Effort, ranked by effect
Generic advice says “it depends on your inputs”; this section says exactly how much. Each field was perturbed by ±10 % in isolation and the pull-only deficit recomputed, so the ranking below is measured rather than asserted. It is the fastest honest answer to “what matters most in Pull Buoy Effort?” — and it is specific to these defaults, because sensitivity moves with the starting point.
- CSS pace /100 +10 % → Pull Buoy Effort = -3.4 s/100 equivalent % · −10 % → 18.1 s/100 equivalent % (the pull-only deficit shifts ≈188.9 %)
- Pull-only pace /100 +10 % → Pull Buoy Effort = 16.9 s/100 equivalent % · −10 % → -4.4 s/100 equivalent % (the pull-only deficit shifts ≈170.0 %)
CSS pace /100 is the dominant lever here: ten percent either way moves the result by about 188.9 %, from -3.4 s/100 equivalent % to 18.1 s/100 equivalent %. That is where a careless figure does the most damage, so check it against a source, and treat Pull-only pace /100 as the second priority (≈170.0 % 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
The value above only becomes useful the moment you know what it is being measured against. The default case lands in the “Pull-only runs 6.3 % slower than free swim — the arms alone are carrying 75 % of the boat; at 74 % HR the buoy work isolates the lats without the leg tax” band, and bands are deliberately wide because real situations overlap. The sensitivity list shows how far a modest input error moves you along that ladder: for CSS pace /100, ±10 % covers -3.4 s/100 equivalent % to 18.1 s/100 equivalent %. The practical reading rules: ask what would have to change to move you one band. If the answer is “a small, plausible input difference”, the band itself is not the finding — the uncertainty is.
Where Pull Buoy Effort sits next to similar measures: this tool answers “how much is the Pull Buoy Effort”, while the related calculators answer “what do I do about it”. Reading the result alone tends to over-weight a single snapshot; pairing it with the companion tools above turns the number into a decision.
Common mistakes with Pull Buoy Effort (and the fix)
The buoy holds the hips unnaturally high — pull-only pace is not a fitness test, it is a technique partition. 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.
Confusing a large number with an important one. Pull Buoy Effort can be dominated by one input whose absolute value looks unimpressive, which is why this page ranks influence separately from magnitude.
This model has its own particular trap: CSS pace /100 carries ≈188.9 % of the response per ten percent of error, so effort spent elsewhere is largely decorative.
Another is comparing across contexts: a Pull Buoy Effort computed with one set of conventions should never be lined up against a figure computed with another. Check the inputs behind both before ranking them.
Pull Buoy Effort verification checklist
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Put CSS pace /100 under a magnifier; the sensitivity table above is the reason why.
- Compare the result with one independent method or published benchmark.
- Check that every field the formula needs actually arrived from a document, not from recollection.
- Repeat the ±10 % test on the inputs that matter and see whether the decision — not just the number — still holds.
How to use the Pull Buoy Effort tool properly
Using a calculator well sounds trivial, but the difference between a decision-grade figure and a throwaway one lives entirely in the routine. The routine for Pull Buoy Effort takes a minute to learn and applies to every input above.
Step 1 — one document, one pass. Open the statement, label or record that holds pull-only pace /100 (s), css pace /100 (s), pull-session hr (bpm), max hr (bpm) 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 Pull-only deficit on screen before you start nudging numbers. Without a baseline, every variation looks interesting and none of them means anything. The inputs are the part of the work that nobody else can do for you.
Step 3 — isolate your variables. Change one field, observe, revert. The live sensitivity list does the ranking for the default inputs; verify it against your own, because dominance shifts when the starting point shifts. Repeating a calculation with the same numbers proves only that the arithmetic is reliable — which is worth knowing.
Step 4 — ask what would have to be true. Take the result you want and work backwards through the inputs until you find the assumption that produces it; then decide honestly whether that assumption is defensible. The point of transparency is that a reader can disagree with a specific line rather than with you.
Step 5 — record the context, not just the number. Note today’s date and the inputs alongside the 6.3 s/100 equivalent % output. Six months from now the context is what turns this figure into a trend. A figure nobody can reproduce is a figure nobody will act on twice.
Who actually uses Pull Buoy Effort — and when
In Swimming 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. Write the assumptions in the same file as the result, and future arguments take minutes instead of meetings.
The companion outputs — Pull pace /100 and Pull HR %max — exist for the second stage of that screen: the headline sizes the prize, while the companions describe the trade-off you are accepting to get it. Rounding early is the quietest way to introduce a permanent error.
Re-running this page costs nothing and catches the slow drifts that never announce themselves. In Fitness & Sports the expensive mistakes are rarely sudden; they are small changes in Pull-only pace /100 (s) that nobody recalculated for a year. Estimates improve most when the worst case is written down in ink.
People also ask about Pull Buoy Effort
What affects Pull Buoy Effort the most?
Measured on this engine, CSS pace /100 is the dominant lever: moving it ±10 % shifts the pull-only deficit across -3.4 s/100 equivalent % to 18.1 s/100 equivalent % — about 188.9 % of the headline, with Pull-only pace /100 next at ≈170.0 %. The ranked list in the sensitivity section is computed live, not asserted from a template.
Which matters more: pull-only pace /100 or css pace /100?
By the numbers, CSS pace /100: a ten-percent change in it moves the result ≈188.9 %, versus ≈170.0 % for Pull-only pace /100. Spend your measuring effort in that order — precision on the weaker lever buys almost nothing.
What is a typical Pull Buoy Effort?
On the worked example above Pull Buoy Effort comes out at 6.3 s/100 equivalent %. Treat that as one point on a distribution rather than a norm: the bands, the companion outputs and the sensitivity ranking tell you how wide the plausible range really is.
How do I calculate Pull Buoy Effort by hand?
Pull deficit = (pull − free)/free; kick cost = HR gap is the entire method. Work the inputs in that order — Deficit = (85.0 − 80.0) ÷ 80.0 = 6.3 % — and you will reach 6.3 s/100 equivalent % on the default figures, the same number this tool prints.
What happens to Pull Buoy Effort if css pace /100 changes by 10 %?
The engine was re-run with that field moved by ten percent while everything else stayed fixed: the pull-only deficit goes across -3.4 s/100 equivalent % to 18.1 s/100 equivalent %, a swing of roughly 188.9 % around the 6.3 s/100 equivalent % baseline. That ratio is the practical definition of how much this input matters.
Is the Pull Buoy Effort result of 6.3 s/100 equivalent % good or bad?
The tool answers “what”, not “whether”: 6.3 s/100 equivalent % carries the verdict “Pull-only runs 6.3 % slower than free swim — the arms alone are carrying 75 % of the boat; at 74 % HR the buoy work isolates the lats without the leg tax” 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.
Is Pull Buoy Effort accurate?
The arithmetic is exact: Pull deficit = (pull − free)/free; kick cost = HR gap is evaluated with full floating-point precision and every substitution is printed in the worked example. What limits accuracy is input quality and the model’s assumptions, so treat the 6.3 s/100 equivalent % result as the correct answer to the question you typed — and check the assumptions section before acting on it.
How do I calculate Pull Buoy Effort manually?
Write down the inputs, then follow the printed steps in order — Pull deficit = (pull − free)/free; kick cost = HR gap. 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.
Should pull pace ever match free pace?
Rarely — the kick is worth several percent of speed; matching it usually means a swimmer with a sinking drag-brake kick.
Do paddles belong with the buoy?
Yes, once the deficit is under ~8 % — before that the catch cannot hold the extra surface.
Can this tool see the numbers I type?
It cannot. There is no submission step: the calculation happens in your browser and the result disappears when you close the page. Treat the fields above as a scratchpad rather than a form.
The vocabulary of Pull Buoy Effort
- Pull pace /100
- 85.0 s for the Pull Buoy Effort worked case; it sits next to the main result because it carries context the headline leaves out.
- Pull HR %max
- 74.5% for the Pull Buoy Effort worked case; it sits next to the main result because it carries context the headline leaves out.
- Implied kick drag
- 75.0 % for the Pull Buoy Effort worked case; it sits next to the main result because it carries context the headline leaves out.
- Pull-only deficit
- The primary output of this tool: 6.3 s/100 equivalent % for the default inputs, computed exactly from Pull deficit = (pull − free)/free; kick cost = HR gap.
- 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 interpretation attached to a result (“Pull-only runs 6.3 % slower than free swim — the arms alone are carrying 75 % of the boat; at 74 % HR the buoy work isolates the lats without the leg tax” on these inputs), which turns a bare number into a position on a scale.
- Sensitivity (±10 %)
- How far the Pull Buoy Effort 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 Pull Buoy Effort calculation
Everything above runs on one stated formula, applied without hidden coefficients: Pull deficit = (pull − free)/free; kick cost = HR gap. Source of record: Colado/Santos upper-body isolation studies. Any other implementation of this model should return the same figure for the same inputs. If one does not, the difference is in its assumptions — which this page prints and that one probably does not.
Treat the output as a precise answer to the question you typed: exact arithmetic, transparent formula, published source, no hidden rounding. What that buys you is reproducibility — two people, two browsers, the same arithmetic, and a printed trail from inputs to result that either of them can audit.
Turning this Pull Buoy Effort into a decision
Re-run the calculation with your own figures, stress the two most sensitive inputs by ±10 %, and only then act on the result.
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 Fitness & Sports, a dated figure is a trend, and an undated one is a rumour.