Classic Chinese Sticky with Built-In Tension
3rd generation of Chinese sticky rubber. Easy to generate topspin with European built-in tension technology. Excel-lent near-table play.
CATAPULT & CLICK 7.8 SPIN & ARC 8.7 SPEED & FORCE 4.0 PRO SCORE 6.8 AMA SCORE 5.8
- HARDNESS : 57.5
- THICKNESS : MAX
- COLOR : RED / BLACK
- MADE IN GERMANY
C-TOUCH = NEW STICKY ENGINEERING
C-TOUCH is Chinese-style sticky rubbers made with a sticky surface layer on top of hard sponge which is usually over 50 degrees. The sponge is too hard so that it shoud be softened by speed glue or booster – which are illegal additives. Due to the complexity of production it has very high defect rate – makes it difficult to find good quality products.
New C-TOUCH
1. Has the softer sponge using built-in tension tech.
2. Scientifically reduced the defect of sticky layer.
FUTURA CST – STICKY RUBBER FOR ALL
CST Chinese Sticky Technology keeps the authentic Chinese rub-ber performance. It generates the topspin without the illegal
booster by built-in TENSOR elasticity. It offers good control and high spin with instant surface friction. CST rubbers are suitable for
the average player who wants to improve the game using Chinese rubber.
ELASTRO FUTURA – NEW ERA OF AI
Digital methodology CYCLOID based on AI tech, snow tire mech-anism DYNAMIC FRICTION, and energy efficient CARBO SPONGE are driving forces propelled ELASTO FUTURA generation. Utmost rubber manufacturing technology sponsored by AI development platform has recalibrated spin rates over distance. Crafted a new balance in table tennis rubber science.
CYCLOID ON DEEP LEARNING
CYCLOID technology employing Deep Learning analyzes a big data. Not only to reduce the number of balls hitting the net or going over the end line. CYCLOID strategically creates optimal Spin-to-Distance ratio. More balls touch the end line thanks to the mechanism of CY-CLOID. New ratio enhanced the ball velocity via new energy dynam-ics calculated.
PERFECT ARC = VELOCITY BY AI
ARC = VELOCITY
CYCLOID a new digital AI methodology mined a vast amount of data to find an optimal equilibrium of spin and ball flying time – spin amount to reach the dis-tance in shorter time.
