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Linglong Green Max EcoTouring View Gallery (1)

Linglong Green Max EcoTouring

Linglong Tyres Touring Summer

The Linglong Green Max EcoTouring is a Touring Summer tyre designed to be fitted to Passenger Cars.

6.4
Tyre Reviews Score Based on User Reviews
Limited Confidence View Breakdown
Dry Grip
72%
Wet Grip
43%
Road Feedback
62%
Handling
50%
Wear
68%
Comfort
50%
Buy again
40%
6 Reviews
55% Average
30,201 miles driven
Linglong Green Max EcoTouring

Linglong Green Max EcoTouring

Summer Economy
BETA
6.4 / 10
Based on User Reviews · Limited Confidence · Updated 23 Feb 2026

The Tyre Reviews Score is the most comprehensive tyre 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
Score Components
Professional Tests
Weight: 80%
Tests: 0
Publications: 0
User Reviews
Weight: 15%
Reviews: 6
Avg Rating: 55%
Min Required: 5
Consistency
Weight: 5%
Score Std Dev: 0.11
History Points: 10
Methodology & Configuration
Scoring Process
  1. Collect Test Data: Gather results from professional tyre 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
All Tests

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Questions and Answers for the Linglong Green Max EcoTouring

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Top 3 Linglong Green Max EcoTouring Reviews

Given 37% while driving a Fiat Panda (155/80 R13) on a combination of roads for 1 spirited miles
Had on a Fiat panda, even when dry it understeered under any sort of speed and very loud on motorway and tyre shine does not stick to them
Helpful 954
September 1, 2021
Given 37% while driving a GMC Savannah (235/75 R16) on mostly motorways for 30,000 average miles
These are absolutely horrible in any wet or cold weather. In rain they lose traction easily on damp pavement. In the snow, ice or sleet they are a complete death trap and should be avoided at all costs. These came on a vehicle I bought, and show almost no wear after over 30,000 highway miles. They're hard as a rock and will last forever. However they're so unsafe in any type of weather that we're ripping them off and replacing them, even with lots of life left.
Helpful 732
November 7, 2022
Given 90% while driving a Toyota (175/65 R14 T) on mostly country roads for 0 easy going miles
I had driven my car 55000kms+ on this very tyre without a single problem..
Much satisfy buying again...
Helpful 642
August 10, 2016

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Latest Linglong Green Max EcoTouring Reviews

Given 100% while driving a Mitsubishi 380GT (215/60 R16) on a combination of roads for 0 spirited miles
have used a variety of ling long tires on all my vehicles for a while,on 4x4, on the work truck, on mobile home,on family van & on my car,they last well,do the job you expect from a tire,the price is very good compared to other brands,
Helpful 564
August 2, 2017
Given 40% while driving a Ford (215/60 R16) on mostly motorways for 200 average miles
Had these tyres on my BA falcon for 3 weeks, lots of road noise, drifting do not hold going into corners well did not have confidence in them at all put new bridgestones back onto my car today, do not recommend at all.
Cheryl
Helpful 587
November 10, 2014
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