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Combat Sports Betting

Fight Win Probability Calculator

Estimate adjusted probability, inspect sensitivity, and keep event period and settlement basis consistent.

Set the Fight Win Probability assumptions

Loaded entries demonstrate the form. Verify source, unit, and timestamp first.

%

Starting probability before adjustments.

points

First percentage-point adjustment.

points

Second percentage-point adjustment.

%

Share of the adjusted estimate to retain; the remainder moves toward 50%.

Result definition

Begin with the question behind adjusted probability—combine a baseline probability with explicit adjustments and confidence weighting. At this stage, no live price, participant feed, or result is loaded automatically.

Scheduled rounds, pace, durability, style interaction, weight class, and finishing history define the bout.

Label Baseline probability as observed, quoted, or projected. Its role is starting probability before adjustments. For the saved case, check the timestamp and unit for Primary adjustment because it supplies first percentage-point adjustment.

Keep Secondary adjustment on the event basis defined here: second percentage-point adjustment. For adjusted probability, Confidence weight represents share of the adjusted estimate to retain. The remainder moves toward 50%.

For this market, inputs collected on different dates may describe states that never existed together.

Formula mechanics

Under the entered assumptions, the calculation uses final probability = 50% + (baseline + adjustments − 50%) × confidence weight.

The displayed chance is conditional on the selected rating scale and adjustments.

A large market gap is a reason to inspect calibration first.

In this model, a new market definition requires a new input set.

Record the Fight Reach Adjustment assumptions separately even for the same event.

For the selected event, follow the arithmetic once, then replace every figure with a sourced value.

For the Fight Win Probability Calculator, the example is deliberately separate from the loaded scenario and should be read as a method check, not betting advice.

Baseline probability is set to 51.7% for this worked case.

Primary adjustment is set to 0 points for this worked case.

Secondary adjustment is set to 0 points for this worked case.

Confidence weight is set to 79% for this worked case.

Applying the Fight Win Probability rule: final probability = 50% + (baseline + adjustments − 50%) × confidence weight. Using the changed inputs, the result is 51.70%.

  • Fair odds: -107
  • Weighted adjustment: 0.00 points
  • Opponent probability: 48.30%

For this adjusted probability example, review the formula line and field units if the supporting values disagree with the displayed worked result.

As a practical check, practical comparison begins after current values replace worked inputs.

Event information that still matters

Method and round outcomes are dependent parts of the same fight.

For this comparison, weigh-in information, reach, pace, style matchup, recent activity, and judging format should refer to the scheduled bout.

On this page, a difficult weight cut, replacement opponent, or round-format change warrants a new calculation.

Testing result sensitivity

Within this calculation, create a neutral case before applying the full change to Confidence weight.

For this comparison, shrink a small-sample rating gap toward the broader baseline.

As a practical check, a large fair-price swing signals sensitivity to scale or confidence.

Reading the headline and supporting rows

The probability is conditional on ratings and adjustments.

Compare fair price with an executable quote for the same outcome.

For the selected event, the answer is most useful as a baseline that can be updated.

Reasons to calculate again

Adjustments are percentage points, not multiplicative percentages.

In this model, verify scheduled rounds, no-contest treatment, method definitions, and the official-result policy.

When using the result, a value from another event may use the correct unit while answering a different question.

Documenting a market snapshot

In the current scenario, keep event identity and timestamp beside adjusted probability.

Within this calculation, save enough context to reproduce adjusted probability without form defaults.

On this page, a timestamped baseline remains useful when no wager follows.

After Fight Win Probability, if the next question is fighter age adjustment, use the Fighter Age Adjustment and keep its inputs separate.

Questions raised by the calculation

When using the result, why preserve the earlier Fight Win Probability result?

In the current scenario, a baseline shows whether a later difference came from market movement or an input revision.