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Uniroyal AllSeasonExpert

The Uniroyal AllSeasonExpert is a Premium Touring All Season tire designed to be fitted to Passenger Cars.

8.0
Tire Reviews Score Based on Professional Tests & User Reviews
Medium Confidence View Breakdown
Dry Grip
78%
Wet Grip
84%
Road Feedback
74%
Handling
74%
Wear
80%
Comfort
80%
Buy again
70%
Snow Grip
90%
Ice Grip
85%
5 Reviews
79% Average
69,390 miles driven
9 Tests (avg: 5th)
Uniroyal AllSeasonExpert

Uniroyal AllSeasonExpert

All Season Mid-Range
BETA
8 / 10
Based on Professional Tests & User Reviews · Medium 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
Comfort
100
0.32x / 1 test
Snow
92.8
1.38x / 4 tests
Value
75.2
0.42x / 2 tests
Wet
63
1.93x / 5 tests
Dry
41.2
1.5x / 4 tests

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

Braking
67.1
6 tests
Handling
63
6 tests
Score Components
Professional Tests
Weight: 80%
Tests: 9
Publications: 4
Period: 2013 - 2017
User Reviews
Weight: 15%
Reviews: 5
Avg Rating: 79.4%
Min Required: 5
Consistency
Weight: 5%
Score Std Dev: 0.49
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
2017 All Season VS Winter Tire Test Auto Zeitung 2017 205/55 R16 5/11 9 metrics
2017 Auto Bild All Season Tire Test Auto Bild 2017 225/50 R17 6/10 7 metrics
2016 AutoBild All Season Tire Test Auto Bild 2016 205/55 R16 9/10 0 metrics
2016 ACE All Season Tire Test ACE 2016 205/55 R16 4/10 0 metrics
2016 GF All Season Tire Test Gute Fahrt 2016 205/55 R16 6/11 0 metrics
2015 French All Season Tire Test 2015 205/55 R16 5/5 0 metrics
2015 AutoBild All Season Tire Test Auto Bild 2015 195/65 R 15 7/10 0 metrics
2014 All Season Tire Test Auto Zeitung 2014 185/60 R15 4/10 0 metrics
2013 Auto Bild All Season Tire Test Auto Bild 2013 195/65 R15 3/9 0 metrics
9
Tests
5th
Average
3rd
Best
9th
Worst
Latest Tire Test Results
6th/10
Safe in the snow, good aquaplaning resistance, quiet and comfortable, cheap.
Long dry braking, poor wet braking and handling.
5th/11
Good snow handling, good wet braking, good resistance to aquaplaning
Longest braking in the dry, and poor dry handling
2016 GF All Season Tire Test
205/55 R16 • 2016
6th/11
Very good results in the snow
Poor handling on wet roads, long braking distances on dry and wet roads

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Top 3 Uniroyal AllSeasonExpert Reviews

Given 98% while driving a Suzuki (195/45 R15 S) on mostly country roads for 2,000 spirited miles
superb in snow and ice
superb for country lanes
great in wet conditons
February 9, 2019
Given 91% while driving a BMW X3 2.0d Sport (235/55 R17) on a combination of roads for 1,000 spirited miles
A lot better than my old pirelli scorpion tires beter handling better grip on wet roads braking distance as well short than on pireli.
April 13, 2019
Given 70% while driving a Peugeot 308 SW II BlueHDI 150 (225/45 R17) on a combination of roads for 30,800 average miles
Overall a good Allseason tire with one big drawback. Its very loud.

The tires are now 2 1/2 years old an run 49500km (30800 miles for you strange people in the UK/USA)
Wear is great. Front tires still got 5mm profile left. Rear tires are around 7mm.
Wet performance was nice too. never had problems with rain or was scared of aquaplanig.
Steering feel ?.... there is none!

Biggst problem is the noise the make. I even turn up the radio volumen more then I would like to.
The tire may would last 1 or even 2 years longer. But I will shwitch to proper summer touring tires.
September 22, 2018

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Latest Uniroyal AllSeasonExpert Reviews

Given 70% while driving a Ford Puma 1.7 (195/50 R15 H) on a combination of roads for 8,000 spirited miles
Amazing in the snow and on ice. Not different than winter tires, more or less. On wet has solid aquaplaning abilities, but not perfect in emergency braking.
Quiet and refined on higher speeds. Solid on bumps, etc.. Wear is barely visible from 12k km.
But... not solid for aggressive driving (Rather soft board), can't replace a summer tire if you push the car to the limits on twisted roads, in hot summer days. Braking in summer is a bit worse that summer tires.
October 9, 2016
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