3.9 What's the GO score, how is it calculated and how to analyse it
This article illustrates what the GO Score algorithm is, how to customise it and how to do analysis.
WHAT'S THE GO SCORE
- 0:00 what's the GO score
- 0:35 how to display the GO score
- 1:09 custom algorithm
HOW TO CALCULATE THE GO SCORE (part1)
- 0:00 introduction
- 0:20 add a rule in the GO score
- 0:41 how the score for each metric is calculated
HOW TO CALCULATE THE GO SCORE (part2)
- 0:00 set % of relevance
- 0:39 daily calculation
- 0:46 no mandatory metrics
HOW TO CALCULATE SCORE FOR THE WELLBEING QUESTIONNAIRE
- 0:00 recap of well-being questionnaire
- 0:21 set weights for the votes
- 0:58 how we suggest to weight the votes
- 1:31 how the score is calculated
HOW TO ANALYSE THE GO SCORE
FEATURES DESCRIPTION
What's the GO Score
The GO Score is a proprietary algorithm developed by the Iterpro team to help clients evaluate the readiness status of their athletes. It generates a daily percentage score that reflects how prepared each player is. Based on this score, players are classified as having:
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Poor readiness (Red)
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Moderate readiness (Yellow)
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Optimal readiness (Green)
This feedback is shared across all departments within the Iterpro system, ensuring that everyone—from performance staff to coaches—has access to real-time readiness insights.
You can find the GO Score in the Readiness section under Performance. There, you will see:
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A daily overview of player readiness

- The ability to click on individual athletes to view:

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Details on how the score is calculated
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Data from the last 48 hours or 7 days
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Injury risk indicators
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The tests that contributed to the score
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How to calculate the GO score
To tailor the GO Score to your specific methodology:
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Go to Settings → Team → GO Score
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Click Edit to manage which metrics are included.
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You will see a list of active metrics (e.g. Survey, Squat Jump).
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To include a new metric, make sure it is set as “active.”
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Each metric contributes a percentage to the final score. Based on the thresholds previously configured (green/yellow/red), you can assign a weight to each colour. For example:
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Green = 1.0 (100%)
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Yellow = 0.8 (80%)
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Red = 0.1 (10%)
These values are fully customizable, allowing you to define how much each performance level affects the overall readiness score.
You can also define a relevance percentage for each metric—this determines how much influence a specific test (e.g. Survey vs. Squat Jump) has on the final GO Score. For example, if the Survey is more relevant, its score will weigh more heavily in the final result.

Important: The GO Score is calculated daily, based on the metrics submitted on that specific day. If only one test is submitted, the score will be calculated using that test alone.
Special Case: Wellness Survey Scoring
The Well-being questionnaire is calculated using a separate logic:
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There are 5 questions, each rated from 1 to 5 (1 = very poor, 5 = very good).
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For each vote, you can assign a weight (between 0.1 and 1.0).
Here, there's what we suggest: higher scores (4–5) are assigned a weight of 1.0, while lower scores (1–3) are assigned lower weights. Some questions (like Sleep, Fatigue, and Soreness) are often emphasised, meaning their impact is greater if rated poorly.

The score for each question is calculated by:
- Vote × Weight
- Then, the sum of all question scores is multiplied by 100, and divided by 25 to normalize the result.
This Wellness Score is then factored into the overall GO Score based on its assigned relevance.
Analyzing GO Score Data
Once your test data is uploaded and your calculation rules are set, you can analyze the GO Score from several perspectives:
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In the Performance → Readiness → Session view:
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View daily readiness and each player’s GO Score card
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In the Period view:
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Analyze how the GO Score evolves over time
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Compare it with other test metrics included in the calculation
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In Performance → Workload Analysis → Period → Stress Balance:
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Compare Workload metrics with Readiness data for a complete overview
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