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Gislaved Ultra Speed

The Gislaved Ultra Speed is a High Performance Summer tire designed to be fitted to Passenger Cars.

5.1
Tire Reviews Score Based on Professional Tests & User Reviews
Medium Confidence View Breakdown
Dry Grip
84%
Wet Grip
71%
Road Feedback
79%
Handling
65%
Wear
77%
Comfort
67%
Buy again
66%
10 Reviews
73% Average
334,000 miles driven
7 Tests (avg: 26th)
Gislaved Ultra Speed

Gislaved Ultra Speed

Summer Budget
BETA
5.1 / 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
96.3
0.32x / 1 test
Wet
57.6
2x / 6 tests
Dry
50.5
1.8x / 4 tests

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

Braking
60.5
6 tests
Handling
40
3 tests
Score Components
Professional Tests
Weight: 80%
Tests: 7
Publications: 2
Period: 2013 - 2020
User Reviews
Weight: 15%
Reviews: 10
Avg Rating: 72.7%
Min Required: 5
Consistency
Weight: 5%
Score Std Dev: 0.64
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
2020 Tire Market Overview Braking Test Auto Bild 2020 245/45 R18 31/49 2 metrics
2019 Summer 53 Tire Braking Shootout Auto Bild 2019 225/45 R17 32/45 2 metrics
2018 Test World Summer Tire Test Test World 2018 225/45 R17 16/16 7 metrics
2018 AutoBild Summer Tire Overview Auto Bild 2018 195/65 R15 34/47 0 metrics
2017 Auto Bild Summer Tire Shootout Auto Bild 2017 225/50 R17 35/43 0 metrics
2016 Market Overview - Braking Test Auto Bild 2016 205/55 R16 20/50 0 metrics
2013 54 Tire Braking Test 2013 195/65 R15 16/54 0 metrics
7
Tests
26th
Average
16th
Best
35th
Worst
Latest Tire Test Results
31st/49
32nd/45
34th/47

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Top 3 Gislaved Ultra Speed Reviews

Given 93% while driving a Audi A4 1.9 TDI (225/45 R17 W) on mostly country roads for 25,000 spirited miles
Good tires, swedish tires and cheap, from Continental AG Group.
June 21, 2017
Given 80% while driving a Saab Automobile 93 Linear 2.2Tid (225/45 R17 W) on a combination of roads for 20,000 average miles
I would prolly, buy It again, cheap anda good tires nadie un Sweden.
June 20, 2017
Given 81% while driving a Audi 2.0tdi 140 sline sportback (225/40 R17 W) on mostly town for 15,000 easy going miles
Good tires, id recommend you them.
June 25, 2017

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Latest Gislaved Ultra Speed Reviews

Given 87% while driving a SEAT Leon FR tdi (225/40 R18 W) on a combination of roads for 30,000 average miles
I would buy them again, they make good tires :)
June 24, 2017
Given 89% while driving a SEAT Leon TDi SE 110 (195/65 R15 W) on mostly country roads for 22,000 average miles
Nice tires low cost.
June 22, 2017
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