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Goodride ZuperSnow Z507

The Goodride ZuperSnow Z507 is a Touring Winter tire designed to be fitted to Passenger Cars.

6.6
Tire Reviews Score Based on Professional Tests
High Confidence View Breakdown
Dry Grip
90%
Wet Grip
70%
Road Feedback
70%
Handling
70%
Wear
10%
Comfort
70%
Buy again
20%
Snow Grip
90%
Ice Grip
70%
1 Reviews
62% Average
11,000 miles driven
3 Tests (avg: 30th)
Goodride ZuperSnow Z507

Goodride ZuperSnow Z507

Winter Budget
BETA
6.6 / 10
Based on Professional Tests · High Confidence · Updated 23 Feb 2026

The Tire Reviews Score is the most comprehensive tire scoring system available. It aggregates professional test data from multiple independent publications, user reviews, and consistency analysis using Bayesian statistical methods, weighted normalisation, and recency-adjusted scoring to produce a single, reliable performance rating.

Learn more about our methodology
Value
100
0.42x / 1 test
Ice
80.4
1.2x / 2 tests
Snow
47.4
1.5x / 4 tests
Wet
46.3
1.93x / 8 tests
Dry
40
1.13x / 3 tests
Comfort
40
0.32x / 2 tests

Cross-category scores are derived metrics that combine data from multiple test disciplines to evaluate real-world performance characteristics.

Traction
72
2 tests
Braking
51.9
7 tests
Handling
40
6 tests
Score Components
Professional Tests
Weight: 80%
Tests: 3
Publications: 2
Period: 2023 - 2025
User Reviews
Weight: 15%
Reviews: 1
Avg Rating: 62.2%
Min Required: 5
Consistency
Weight: 5%
Score Std Dev: 0.46
History Points: 10
Methodology & Configuration
Scoring Process
  1. Collect Test Data: Gather results from professional tire tests across multiple publications. Minimum 1 test(s) required.
  2. Normalize Positions: Convert test positions to percentile scores using exponential weighting (factor: 1.2).
  3. Apply Recency Weighting: More recent tests are weighted higher with a decay rate of 0.95.
  4. Incorporate User Reviews: Factor in user review data (minimum 5 reviews). Weight: 15%.
  5. Bayesian Smoothing: Apply Bayesian prior (score: 7, weight: 1.5) to prevent extreme scores with limited data.
  6. Calculate Final Score: Combine all components using normalization factor of 1.1. Max score with limited data: 9.5.
Component Weights
Test Data
80%
User Reviews
15%
Consistency
5%
All Configuration Parameters
ParameterValueDescription
safety_weight 0.7 Weight multiplier for safety-related metrics
performance_weight 0.55 Weight multiplier for performance metrics
comfort_weight 0.4 Weight multiplier for comfort metrics
value_weight 0.45 Weight multiplier for value-for-money metrics
user_reviews_weight 0.15 How much user reviews contribute to the final score
test_data_weight 0.8 How much professional test data contributes to the final score
consistency_weight 0.05 How much score consistency contributes to the final score
recency_decay_rate 0.95 Rate at which older test results lose influence (higher = slower decay)
min_test_count 1 Minimum number of professional tests required
min_review_count 5 Minimum number of user reviews required
score_version 1.9 Current version of the scoring algorithm
score_normalization_factor 1.1 Factor used to normalize raw scores to the 0-10 scale
confidence_factor_weight 0.2 How much data confidence affects the final score
position_penalty_weight 0.2 Penalty applied for poor test positions
gap_penalty_threshold 12 Score gap (%) that triggers additional penalties
min_metrics_count 2 Minimum number of test metrics needed per test
limited_data_threshold 2 Number of tests below which data is considered limited
single_test_penalty 0.75 Score multiplier when only one test is available
critical_metric_penalty 0.7 Penalty for poor performance on critical safety metrics
critical_metric_threshold 70 Score below which a critical metric penalty applies
position_exponential_factor 1.2 Exponent used to amplify position-based scoring
position_exponential_threshold 0.9 Position percentile below which exponential scoring applies
gap_multiplier_critical 3 Multiplier for critical gap penalties
max_category_weight 2 Maximum weight any single category can have
max_score_limited_data 9.5 Score cap when data is limited
bayesian_prior_weight 1.5 Weight of the Bayesian prior in smoothing
bayesian_prior_score 7 Prior score used for Bayesian smoothing
evidence_test_multiplier 1.9 Multiplier for test evidence in confidence calculation
evidence_metric_divisor 3 Divisor for metric count in evidence calculation
evidence_review_divisor 10 Divisor for review count in evidence calculation
combined_penalty_floor 0.2
Data Sources
TestPublicationDateSizePositionMetrics
2025 Winter Tire Braking Test - 52 Sets! Auto Bild 2025 225/40 R18 41/52 1 metrics
The BEST Performance Winter Tires for 2024 / 2025 Tire Reviews 2024 235/35 R19 6/9 18 metrics
2023 Winter Tire Test 54 Set Braking Test Auto Bild 2023 225/45 R18 42/54 1 metrics

Videos

The BEST Winter Tires for 2024/25 - Michelin vs Goodyear vs Pirelli & More!

The BEST Winter Tires for 2024/25 - Michelin vs Goodyear vs Pirelli & More!

3
Tests
30th
Average
6th
Best
42nd
Worst
Latest Tire Test Results
41st/52
The Goodride ZuperSnow Z507 had the best rolling resistance among all tested tires.
It significantly underperformed in most tests, especially in wet braking and aquaplaning, and offered a less pleasant driving experience overall.
As the budget option in the test, the Goodride ZuperSnow Z507 predictably lagged behind the premium offerings in most tests. It significantly underperformed in crucial areas such as wet braking and aquaplaning resistance. However, it wasn't without merits - it offered the best rolling resistance among all tested tires and performed better than expected in dry conditions. Despite these positives, its overall performance and less refined subjective feel make it difficult to recommend over the premium options for those prioritising safety and performance in winter conditions.

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Latest Goodride ZuperSnow Z507 Reviews

Given 62% while driving a Mercedes Benz V220 CDI (225/55 R17) on a combination of roads for 11,000 easy going miles
High wear, 10000 miles and they are finished. Driving a transfer van (got the van with them) in the Alps; highway, local/mountain roads - not suitable for intensive driving. Maybe for drivers making low mileage. Not bad experience while they were new. Also experienced a flat with one of the fronts.
January 10, 2024
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