Combat Sports Betting
Decision Probability Calculator
Build a transparent adjusted probability estimate, review the formula, and test the least certain field before comparing a price.
Create a timestamped input set
Use a separate saved case when an uncertain field needs a cautious alternative.
Scope of this calculation
For Decision Probability, to reach Adjusted probability, the calculation adjusts Baseline probability with Primary adjustment and Secondary adjustment. A lower Confidence weight pulls the answer back toward the original baseline.
Goes-the-Distance covers the separate goes-the-distance question, then record its output under a different case name.
Arithmetic used on this page
In the current scenario, the calculation can be reproduced without an unstated correction.
On this page, a difficult weight cut, replacement opponent, or round-format change warrants a new calculation.
Entries required for the result
- For this market, use a current source for Baseline probability. Here it means starting probability before adjustments.
- Label Primary adjustment as observed, quoted, or projected. Its role is first percentage-point adjustment.
- For the saved case, check the timestamp and unit for Secondary adjustment because it supplies second percentage-point adjustment.
- Label Confidence weight as observed, quoted, or projected. Its role is share of the adjusted estimate to retain. The remainder moves toward 50%.
At this stage, keep percentages, prices, time, scoring units, and signs in the printed format.
For this comparison, a separate input set allows inspection without overwriting the baseline.
For the Decision Probability Calculator, use the worked case as a reproducibility check before entering live market assumptions. None of its values should be copied automatically.
Applying the Decision Probability rule: final probability = 50% + (baseline + adjustments − 50%) × confidence weight.
| Fair odds | -117 |
|---|---|
| Weighted adjustment | 0.00 points |
For this adjusted probability example, when the worked result differs, verify the field values one by one rather than changing several assumptions together.
As a practical check, keep the example separate from the saved market case.
Comparing two plausible cases
- For this market, create a neutral case before applying the full change to Confidence weight.
- Under the entered assumptions, shrink a small-sample rating gap toward the broader baseline.
- At this stage, a large fair-price swing signals sensitivity to scale or confidence.
Meaning of the displayed number
Separate the current output from the fighter age adjustment work on Fighter Age Adjustment, then record its output under a different case name.
Keeping the calculation reproducible
As a practical check, keep source revisions and market moves as different update reasons.
Unmodeled information
- Adjustments are percentage points, not multiplicative percentages.
- For this comparison, verify scheduled rounds, no-contest treatment, method definitions, and the official-result policy.
- In this model, the page cannot determine whether a sportsbook applies a settlement exception.
Separating the baseline from uncertainty
Decision Probability is most useful when Baseline probability and Primary adjustment come from the same participant, event period, and timestamp. Record those boundaries beside Adjusted probability; otherwise a difference between the model and the market may reflect incompatible source windows rather than a meaningful disagreement.