Pregnancy Chance Calc

Find your probability of conceiving based on age and history.

Success Rate
Clinic-backed

Conception odds will appear here

Enter your age and history on the left to see your success probability.

Monthly Success Rate — waiting for your data
6-Month Chance — waiting for your data
12-Month Chance — waiting for your data
Conception Confidence — waiting for your data

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Cycle Information

Intercourse Timing

Ages

Contraception

👉 Success Tip: While our calculator estimates your probability, using an ovulation tracker is the only way to catch your actual LH surge and confirm you are timing intimacy correctly.

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Understanding Your Pregnancy Probability

How it Works

Our calculation uses peer-reviewed research to estimate probability based on timing, age, and cycle length. Peak conception happens 1-2 days before ovulation.

Key Factors

  • Intercourse 1-2 days before ovulation
  • Female and male partner age
  • Cycle regularity and lifestyle health

Your Age Is One Number — Your Biology May Tell a Different Story

Two women who are both 35 can have pregnancy odds that differ by a factor of three. Age on a birth certificate predicts average population-level fertility. These markers predict yours.

Real-world example: two women, both age 37
Woman A — Age 37
0.4
ng/mL AMH
Ovarian reserve of a typical 43-year-old
VS
Woman B — Age 37
3.2
ng/mL AMH
Ovarian reserve of a typical 29-year-old
What this means: The calculator above uses age as a proxy for ovarian reserve. AMH blood testing (available from your GP or any fertility clinic) gives you the actual number — and it changes everything about how aggressively you should approach timing, and when to escalate to specialist review.
What Your Birthday Tells Us
Population-average fecundabilityAge-banded %
Used in calculator estimates✓ Yes
Accounts for your personal reserve✗ No
Accounts for egg quality variation✗ No
Predictive accuracy for the individualModerate
Requires a test to measure✗ No
What Your Biology Tells Us
AMH + AFC ultrasoundActual reserve
Used in calculator estimates✗ No
Accounts for your personal reserve✓ Yes
Accounts for egg quality variationPartially
Predictive accuracy for the individualHigh
Requires a test to measure✓ Yes — simple blood test
Biological Factor How It's Assessed Impact on Calculator Estimate Direction of Effect
AMH (Anti-Müllerian Hormone) Blood test (any time in cycle) High Low AMH → reduce estimated chance. High AMH → increase it.
AFC (Antral Follicle Count) Transvaginal ultrasound (Day 2–5) High Corroborates AMH. <5 follicles = diminished reserve regardless of age.
BMI extremes (<18.5 or >35) Calculated from height/weight Medium Both extremes suppress LH pulsatility and disrupt ovulation. Compounds age-related decline.
Age at menarche Patient history Low–Medium Early onset (<12) correlates with earlier decline. Late onset often predicts extended fertility window.
Thyroid function (TSH) Blood test (TSH, free T4) Medium TSH above 2.5 mIU/L suppresses implantation and increases early loss risk. Easily corrected with medication.
Male factor contributes to ~40–50% of conception difficulties

The Variable Your Pregnancy Calculator Cannot See: Male Factor

Every pregnancy chance calculator — including this one — calculates probability based on female age and cycle timing. But conception is a two-person event. Here is what the male side of the equation looks like, and why it matters as much as your fertile window.

Female-Side Factors (In Calculator)
AgePrimary driver of egg quality and quantity decline after 35
Cycle length & timingDetermines ovulation date and fertile window accuracy
Months tryingProxy for underlying fecundability rate
Ovarian reserve (AMH)Not in calculators — but the most important female modifier
Male-Side Factors (Not In Calculator)
Sperm DNA fragmentationInvisible on standard semen analysis. Causes fertilisation failures and early losses. Increases after age 35.
Male partner ageFragmentation increases ~1–2% per year after 35. Men over 45 show measurably higher miscarriage contribution.
Scrotal heat exposureLaptop use, hot tubs, cycling reduce sperm production within 72 hours. Recovery takes 70–90 days.
Abstinence durationMore than 5 days increases DNA damage. Optimal frequency is every 1–2 days during fertile window — not "saving up."

Four things a normal home sperm test won't tell you

1
DNA fragmentation index (DFI) Home tests measure count only. A man with 60 million sperm/mL and 40% DFI has functionally compromised fertility despite "normal" numbers. A clinic SCSA or TUNEL test is the only way to measure this.
2
Progressive motility (the sperm that can actually reach the egg) Home tests detect whether sperm are "moving." Clinical analysis distinguishes progressive motility (swimming forward) from total motility — only progressive motility matters for natural conception.
3
Morphology (sperm shape) WHO normal morphology is only 4% using strict Kruger criteria. This means 96% of sperm can be abnormally shaped and still be "within normal range." Morphology below 2% significantly impacts fertilisation rates.
4
Varicocele-related heat damage Varicocele (enlarged testicular vein) elevates scrotal temperature chronically and is found in 15% of the general male population and ~40% of men presenting with infertility. It is entirely invisible to any at-home sperm test.

The "Try for 12 Months" Rule: When Standard Advice Actively Costs You Time

The 12-month guideline before seeking specialist help is a population-level recommendation written primarily for women under 35 with no known risk factors. For a significant proportion of people using this calculator, following it without question delays diagnosis of a treatable problem.

Decision tree: How long should YOU wait before seeing a specialist?
Are you under 35 with regular cycles, no diagnosed conditions, and a partner under 40 with no known history?
✓ Yes to all

Standard advice applies. Try for 12 months with correctly-timed intercourse before requesting a fertility referral. At 6 months, consider basic hormone blood tests with your GP.

✗ No — read below

At least one exception applies to your situation. The 12-month rule may not be appropriate. Review the specific scenarios below to find your recommended timeline.

Identify your specific scenario below and find the right timeframe for your situation

Age 35–39

ACOG guidelines explicitly reduce the waiting period to 6 months for women 35–39. AMH declines approximately 0.1–0.2 ng/mL per year — a 12-month delay is not clinically neutral at this age.

→ See specialist at 6 months

Age 40+

ACOG recommends immediate evaluation without any waiting period at age 40+. Every cycle has meaningful value; time lost to the "wait and see" approach is not recoverable at this stage.

→ See specialist immediately

Irregular cycles (varies by more than 7 days)

Cycle irregularity is a clinical signal of potential ovulatory dysfunction — the most common treatable cause of female infertility. Waiting 12 months simply confirms what testing can identify in week one.

→ See specialist without waiting

Prior STI (especially chlamydia)

Chlamydia causes tubal scarring with no symptoms in approximately 75% of cases. Tubal factor accounts for 25–30% of female infertility. A hysterosalpingogram (HSG) can confirm tubal patency before trying.

→ Request HSG before month 1

2+ prior pregnancy losses

Recurrent pregnancy loss (RPL) investigation is clinically indicated after two losses regardless of how quickly conception occurred. The ability to conceive does not eliminate the need for investigation.

→ Recurrent loss panel after 2nd loss

Partner has known semen abnormality

If a prior semen analysis showed any abnormality — even borderline — the 12-month rule does not apply. Known male factor justifies immediate referral, not monitoring for a year while the female partner tracks cycles.

→ Joint referral immediately
The 12-month definition problem: The guideline assumes 12 months of correctly-timed intercourse — meaning intercourse every 1–2 days during the confirmed fertile window. If 12 months includes extended abstinence, poorly-timed intercourse, or cycles where ovulation was uncertain, the clock effectively resets. Tracking ovulation confirmation (BBT or OPK) documents that your trying was clinically meaningful.
Myth vs. Clinical Reality

Five Pregnancy Probability Beliefs That Misguide Even Well-Researched Couples

These misconceptions are repeated across fertility forums, popular apps, and even GP waiting rooms. Understanding what the evidence actually shows prevents wasted cycles and misplaced emotional effort.

Myth #1

"Every cycle gives us a fresh 20–25% chance — like rolling the dice again from zero."

Clinical Reality

Your monthly fecundability rate is personal and stable, not a reset button. If you've had 8 failed cycles, it doesn't mean you're "due" for success — it may indicate your personal rate is 8–10%, not the population average of 20–25%. Each cycle is an independent event with your constant individual probability, not a collective improvement toward a guaranteed outcome.

The Weinberg-Wilcox cumulative conception model explains why some couples take longer — not because luck hasn't arrived, but because their personal p is lower than the average.

Myth #2

"Having sex every single day during the fertile window gives you the maximum possible chance."

Clinical Reality

Daily intercourse does not significantly outperform every-other-day intercourse in couples with normal semen parameters. In men with borderline motility or morphology, daily ejaculation during the fertile window may reduce per-encounter sperm quality below what every-other-day spacing would produce. The optimal frequency is every 1–2 days during the fertile window — not maximising frequency.

Multiple RCTs and WHO guidance on timed intercourse support the every-other-day approach as equivalent or superior in borderline male factor cases.

Myth #3

"Stress is preventing you from getting pregnant. You just need to relax and it'll happen."

Clinical Reality

Only clinically severe, chronic stress — such as that from major trauma, extreme athletic training, or severe eating disorders — measurably suppresses LH pulsatility and disrupts ovulation. Everyday work stress, relationship anxiety, or the stress of trying to conceive itself does not demonstrate statistically significant impact on conception rates in controlled studies. The "just relax" advice misattributes a biological problem to a psychological one and removes responsibility from investigation.

Lynch et al. (2014) and multiple systematic reviews found no association between self-reported stress and fecundability in normally cycling women.

Myth #4

"Certain sexual positions after intercourse improve your chances because they help sperm travel better."

Clinical Reality

No peer-reviewed evidence supports any positional advantage. Sperm reach the cervix within 90 seconds of ejaculation regardless of position — they are motile cells driven by chemotaxis toward progesterone gradients, not passive particles affected by gravity. Post-coital lying down for 30 minutes shows no outcome difference in multiple RCTs. If lying still reduces stress and adds comfort, that's fine — but it provides no biological advantage.

Wilkes et al. (2003) found no difference in pregnancy rates between immediate activity and 15-minute supine rest post-IUI — and IUI deposits sperm directly at the cervix.

Myth #5

"A positive OPK (ovulation test) guarantees you will ovulate within 12–36 hours."

Clinical Reality

An LH surge detected by OPK can fail to result in actual ovulation — called an anovulatory LH surge — in approximately 7–8% of cycles in normally ovulating women. In women with PCOS, this false-positive rate is dramatically higher due to chronically elevated baseline LH, which makes OPKs nearly uninterpretable without ultrasound confirmation. The only way to confirm ovulation definitively is a Day 21 progesterone blood test or transvaginal ultrasound showing follicle collapse.

Anovulatory cycles are more common during stress, illness, or at the beginning and end of reproductive years, making OPK-only tracking unreliable in these periods.

Advanced — For Readers Already Familiar With Basic Conception Probability

How Reproductive Endocrinologists Actually Model Your Real Conception Odds

The single percentage figure a calculator produces is a population average applied to your age bracket. Here is how clinicians build an individual probability model — and why the two numbers can be very different for the same person.

The fecundability rate defined: Your fecundability rate is not a fresh chance each month — it is a personal, stable probability per cycle that remains essentially constant assuming no change in underlying factors. The core insight is that the population average tells you nothing about where your individual rate sits.

The Weinberg-Wilcox cumulative probability formula

// Cumulative conception probability after n cycles
P(n) = 1 − (1 − p)^n

// Where p = your personal monthly fecundability rate
// Where n = number of cycles attempted

// Example: p = 0.20 (healthy under-30 couple)
P(6) = 1 − (1 − 0.20)^6 = ~73.8% after 6 months
P(12) = 1 − (1 − 0.20)^12 = ~93.1% after 12 months

// Example: p = 0.08 (lower individual rate)
P(6) = 1 − (1 − 0.08)^6 = ~39.7% after 6 months
P(12) = 1 − (1 − 0.08)^12 = ~63.4% after 12 months

The clinical multiplier model: how each factor adjusts your base rate

Factor How It's Measured Multiplier on Base Rate What Changes the Multiplier
Base rate (age-adjusted) Age alone (population average) 1.0× (starting point) Under 30: ~25%. 30–34: ~20%. 35–39: ~12–15%. 40+: ~5–8%.
Intercourse timing accuracy OPK / BBT / cycle tracking 0.8×–1.2× Peak day (day before ovulation) = 1.2× modifier. Random untracked timing = 0.8× or lower.
Sperm quality (partner) Full semen analysis + DFI 0.3×–1.0× Normal parameters = 1.0×. Mild male factor = 0.7×. Severe oligospermia or high DFI = 0.3× or below.
Ovarian reserve (AMH) Blood test ng/mL 0.5×–1.3× AMH above age-normal = 1.1–1.3×. Diminished reserve (<1.0 ng/mL at 35) = 0.5–0.7×.
Uterine/tubal factor Hysterosalpingogram (HSG), sono 0× (blocked) – 1.0× One blocked tube = ~0.5×. Both patent = 1.0×. Submucosal fibroid or polyp = 0.6–0.8×.
Thyroid/hormonal baseline TSH, prolactin, Day 3 FSH/LH 0.6×–1.0× Elevated TSH (above 2.5) = 0.7×. Elevated prolactin = 0.5–0.8×. Easily corrected with medication.
BMI (both partners) Height and weight 0.7×–1.0× BMI 20–25 = 1.0×. BMI above 35 or below 18.5 = 0.7–0.8× due to hormonal disruption. Modifiable.

Worked example: A 36-year-old with regular cycles, no known pathology, partner age 38 with no prior testing

Base rate (age 36, female)~13% / cycle
× Timing accuracy (OPK-tracked)× 1.1
× Sperm quality (untested — assume normal)× 1.0
× Ovarian reserve (AMH not tested — assume age-average)× 1.0
× Uterine factor (no known issues)× 1.0
× Thyroid/hormonal (not tested)× 1.0
~14.3% / cycle
Estimated personal fecundability rate — before testing reveals any hidden modifiers

Cumulative at 6 months: ~58% | Cumulative at 12 months: ~82% | If AMH returns low (modifier 0.6×): drops to ~8.6% / cycle → 40% at 6 months, 65% at 12 months. This is why testing changes the decision about when to escalate.

The "Selective Dropout" Problem: Why Population Statistics Are Misleading for Anyone Past Month 3

Fertility statistics like "80% of couples conceive within 6 months" are based on population cohorts where couples who conceive early exit the study. Those who remain in the study pool are skewed toward lower fecundability — their continued presence is itself evidence of a lower personal rate. This is why the commonly cited statistics feel optimistic to couples who are actively trying and not yet successful: those statistics describe the population at month 1, not the sub-population at month 5. Your relevant comparison group shifts every month you try without success, and the calculator's static percentage does not account for this progressive selection effect.

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Medical Disclaimer: This tool is for informational and educational purposes only. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult your healthcare provider for personalized guidance about your fertility and pregnancy.

How This Calculator Works

This calculator estimates results based on average ovulation timing and reproductive biology.

Results are estimates and may vary based on individual health and cycle patterns.

Common Questions About Pregnancy Chances

What are my chances of getting pregnant per cycle?

For healthy couples under 35, the chance of getting pregnant in any single cycle is approximately 20–25%. This drops to around 15% per cycle at age 35–39, and about 5–10% per cycle at age 40 and above. Timing intercourse 1–2 days before ovulation significantly improves your odds.

What are the chances of getting pregnant by age?

Pregnancy chances vary significantly by age. Women under 30 have roughly 20–25% per cycle, ages 30–34 around 15–20%, ages 35–39 around 10–15%, and over 40 approximately 5% per cycle. Use our pregnancy chance calculator by age tool for a more detailed breakdown.

What is the highest chance day to get pregnant?

The day with the highest chance of conception is 1–2 days before ovulation, with around 25–30% probability per cycle for healthy couples. Ovulation day itself carries approximately 15–20% chance. Having intercourse every 1–2 days during the 5-day fertile window maximizes your overall chances.

Am I pregnant? How can I calculate my percentage chance?

You can estimate your pregnancy percentage chance by entering your last period date, cycle length, and when you had intercourse relative to ovulation into our calculator above. The calculator uses research-based probability data to give you a personalized percentage. Note: only a pregnancy test can confirm pregnancy.

What are the chances of getting pregnant from one time unprotected sex?

The chance of getting pregnant from a single unprotected encounter depends entirely on where you are in your cycle. On your most fertile day (1–2 days before ovulation), the odds are around 25–30%. Outside the fertile window, chances drop to near 0%. Use the calculator above with your specific dates for an accurate estimate.

How accurate is a pregnancy chance calculator?

Pregnancy chance calculators provide statistical estimates based on population-level fertility research. They are useful for understanding your approximate odds but cannot account for individual health factors like PCOS, endometriosis, or sperm health. Always consult a doctor if you have been trying to conceive for 6–12 months without success.