Comparison: Pirelli Cinturato All Season SF2 vs. Hankook Kinergy 4S2 H750 vs. GoodYear Vector 4Seasons Gen-3

The comparison between the Pirelli Cinturato All Season SF2 and the Hankook Kinergy 4S2 H750 indicates clear strengths and weaknesses for both all-round tyres. Manufactured by Pirelli and Hankook, respectively, these tyres have been frequently tested by several independent organizations.

The Pirelli Cinturato All Season SF2, crafted in Romania, has garnered an overall rating of 67%. Well-regarded for its precise, secure, and reliable properties in varied conditions, it especially excels in the Aquaplaning - longitudinal and Exterior noise categories. For drivers mostly concerned with quiet and precise handling in rainy conditions, this tyre performs admirably. However, it does fall short with its relatively shorter lifespan and slightly elevated rolling resistance.

The Hankook Kinergy 4S2 H750, manufactured in Korea, receives a significant overall rating of 89%. Stepping in after the previous model, the Hankook Kinergy 4S, this tyre is lauded for its equivalent precision and safety on dry road conditions. In tests, it overtook the Pirelli tyre with better Aquaplaning - cross performance, resulting in excellent wet handling and higher grip levels. However, some tests registered minor weaknesses on wet and snowy roads, and deemed its rolling resistance a bit high.

In terms of competitive standings, in the ADAC test, Pirelli Cinturato All Season SF2 clinched the 2nd position out of 16, edging out the Hankook Kinergy 4S2 H750, which landed in the 3rd spot. In the Autobild contest, the Pirelli tyre fell behind, securing the 14th position out of 32, while Hankook managed to grab the 4th spot.

All in all, when heavily weighing fuel efficiency and safe properties on diverse road conditions, the Hankook Kinergy 4S2 H750 could be your go-to tyre. But for diehard fans of lower noise levels and a safe ride during rainy road conditions, Pirelli Cinturato All Season SF2 fits the bill. Always consider your own driving habits and location when weighing these data.