Andy Potts Andy Potts
KHL press office KHL press office
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This year’s All-Star Game saw brand-new technology in use for the first time in the KHL: the players took to the ice with special microchips in their jerseys to measure the speed and distance they covered during the action. Similar chips were in every puck used at the Skill Show and All-Star Game.

Over the weekend in Kazan, the league wanted to test this new data collection system. The KHL is considering implementing this kind of ‘smart puck’ technology at all games in the championship in order to enhance the process of collecting and analyzing statistical data.

Over the two days, the system generated 7,852,400 pieces of data. The teams skated a combined total of 172,089.55 meters and the puck was under control for 39,430.39 seconds. The highest recorded skater speed was 40.32 km/h from Dmitry Kagarlitsky during the skill show.

As well as the chips themselves in the puck and uniforms, the system also relies on sensor installed around the edge of the ice. These sensors gather data from the chips in real time. That data stream is backed by an AI-based analytical platform. The whole system is fully automated and requires no additional work in the arena. During a typical game, more than 5 million data points can be analyzed, producing a wealth of statistical information that cannot be calculated manually.

The chips themselves are highly durable and consume little power. They would not need to be replaced over the course of a season. If the data stream from the pucks is interrupted, an alert is immediately transmitted to the officials’ bench and the puck can be replaced.


What data was collected?

Let’s take a look at the final game, where Team Chernyshev defeated Team Bobrov 4-3. The data from the puck makes it possible to see exactly how much time each team spent in possession of the puck, while a heat map highlights the movements of each player when he had the puck. We can see that Team Chernyshev looked to play the puck in every area of the ice, while Team Bobrov sought to pass the puck quickly through center ice.



The smart puck also generates information about every shot. It can record where the shot was taken, the speed at which the puck left the stick. It also collects data about blocked shots, distinguishing between saves made by the goalie and blocks made by skaters, and recording the speed of the puck when its flight was halted.


And that’s not all. There’s information about how far the puck travelled in each period. Combined with data about the overall movements of the players, this highlights the most intense battle grounds in each game. Information about face-offs is presented in a new way, dividing the ice into five sectors to show whether teams performed better on offensive, defensive or neutral zone draws.


The chips in the players’ jerseys generate information about each player’s movements, specifically how long each shift lasted, his average and maximum speeds during each shift and the distance he covered. This system can measure the players’ performance from the moment he steps onto the ice to the moment he returns to the bench. At the All-Star Game there were no penalties but in regular action the system would automatically be informed of every stint in the sin bin.


In addition, there is real-time information about which players are on the ice and for how long. Thus, it is possible to have detailed information about how long each player was on the ice – for both teams – every time a goal is scored.


Working together, the chips in the jerseys and pucks can create an online game view in real time. This makes it easy to see the tactics of the different teams, how they like to move the puck out of their zone and how they prefer to set up their power plays.


Who’s the best?

Sunday’s four games provided unique information that enabled us to identify the top players according to a whole new set of statistical data. The top results came from two players with Barys Astana: forward Roman Starchenko clocked the fastest speed at 37.1 km/h while defenseman Darren Dietzcovered 6,112m on the ice.

Roman Starchenko, forward, Barys and Team Chernyshev:

"Clearly I got some speed up somewhere along the line but, of course, I couldn’t skate like that for the whole tournament. It’s great to see what technology can bring to hockey, it’ll be interesting to see what they thing of next. I think Team Chernyshev had the most fun team. Everything was cool, everything was just great. Being part of an event like this is something everybody wants to do at least once in their lives.”


Darren Dietz, defenseman, Barys and Team Chernyshev:

"I couldn’t feel the chip, I just knew that it was in there somewhere. Why did I skate so much? I wanted to burn off everything I’d eaten this weekend, I have to keep the coach happy! Our team was great fun. We just enjoyed everything that was going on around us.”


In addition, the special chip in the puck provided information about the hardest shots in the mini tournament. The winner in this category was young Mark Verba of Russkiye Vityazi and Team Chernyshev. His hardest effort flew at 115.5km/h.


To conclude, here’s a full list of all the personal data for every player who took part in Sunday’s games.

Team Chernyshev
  Semi-final Final
  Distance Average speed Top speed Distance Average speed Top speed
Mark Verba 1955 m 17.4 km/h 31.6 km/h 2085 m 17.2 km/h 31.5 km/h
Philip Holm 2936 m 15.7 km/h 31.3 km/h 2583 m 15.4 km/h 30.9 km/h
Jan Kolar 2478 m 16.0 km/h 30.7 km/h 2458 m 14.5 km/h 30.4 km/h
Philip Larsen 2403 m 16.0 km/h 32.7 km/h 2150 m 15.4 km/h 35.4 km/h
Darren Dietz 3052 m 15.9 km/h 30.3 km/h 3060 m 15.4 km/h 30.7 km/h
Roman Starchenko   1704 m 16.2 km/h 30.4 km/h 1840 m 16.3 km/h 37.1 km/h
Sergei Shirokov 1987 m 16.5 km/h 33.7 km/h 1779 m 16.7 km/h 36.5 km/h
Ilya Mikheyev 1630 m 15.7 km/h 31.2 km/h 1784 m 16.0 km/h 29.3 km/h
Anton Burdasov 2049 m 15.8 km/h 32.3 km/h 1747 m 14.8 km/h 30.8 km/h
Nikita Mikhailov 1856 m 16.6 km/h 30.5 km/h 1591 m 15.1 km/h 31.9 km/h

Team Bobrov
  Semi-final Final
  Distance Average speed Top speed Distance Average speed Top speed
Dmitry Kagarlitsky 1960 m 14.8 km/h 30.9 km/h 1917 m 16.8 km/h 31.1 km/h
Mathew Maione 2202 m 14.1 km/h 31.6 km/h 2472 m 14.3 km/h 34.3 km/h
Kirill Marchenko 2682 m 15.4 km/h 32.7 km/h 2194 m 15.5 km/h 31.5 km/h
Ilya Zubov 1965 m 17.3 km/h 34.8 km/h 1954 m 17.6 km/h 30.6 km/h
Vladislav Gavrikov 2429 m 13.9 km/h 34.4 km/h 2830 m 14.4 km/h 31.0 km/h
Lauris Darzins 1936 m 16.5 km/h 33.7 km/h 1882 m 16.5 km/h 31.6 km/h
Alex Grant 2717 m 15.6 km/h 32.9 km/h 2333 m 16.3 km/h 31.5 km/h
Vadim Shipachyov 2142 m 15.1 km/h 30.4 km/h 1936 m 16.0 km/h 31.7 km/h
Alexander Barabanov 1305 m 15.6 km/h 28.7 km/h 2056 m 15.7 km/h 31.0 km/h
Nikita Gusev 1343 m 14.7 km/h 31.9 km/h 1981 m 15.2 km/h 29.7 km/h

Team Kharlamov
  Semi-final 3rd place game
  Distance Average speed Top speed Distance Average speed Top speed
Paul Postma 1937 m 15.9 km/h 29.5 km/h 1233 m 12.8 km/h 33.5 km/h
Nigel Dawes 2895 m 17.2 km/h 33.0 km/h 2327 m 15.4 km/h 31.9 km/h
Sergei Mozyakin 2451 m 15.9 km/h 32.4 km/h 2492 m 14.1 km/h 28.9 km/h
Danis Zaripov 2470 m 16.0 km/h 33.1 km/h 2643 m 14.4 km/h 32.9 km/h
Arsen Khisamutdinov   2690 m 17.3 km/h 34.0 km/h 2950 m 15.5 km/h 34.1 km/h
Vitaly Kravtsov 3013 m 16.5 km/h 31.8 km/h 2758 m 16.4 km/h 31.4 km/h
Stephane Da Costa 3127 m 16.7 km/h 31.9 km/h 2481 m 15.7 km/h 33.5 km/h
Nikita Tryamkin 2022 m 18.1 km/h 35.5 km/h 2021 m 16.7 km/h 32.0 km/h
Viktor Antipin 2107 m 15.3 km/h 28.2 km/h 1872 m 14.9 km/h 32.9 km/h

Team Tarasov
  Semi-final 3rd place game
  Distance Average speed Top speed Distance Average speed Top speed
Alexander Yelesin 2870 m 16.5 km/h 33.1 km/h 2209 m 16.1 km/h 31.5 km/h
Kristian Khenkel 2482 m 14.2 km/h 30.6 km/h 1984 m 14.3 km/h 30.1 km/h
Eric O'Dell 1922 m 15.0 km/h 35.2 km/h 1565 m 14.9 km/h 28.1 km/h
Jakub Nakladal 2487 m 14.6 km/h 32.0 km/h 2185 m 14.6 km/h 29.7 km/h
Michal Repik 1699 m 17.4 km/h 33.4 km/h 2155 m 16.4 km/h 32.5 km/h
Mat Robinson 2731 m 17.1 km/h 31.5 km/h 2082 m 16.4 km/h 32.6 km/h
Miro Aaltonen 1369 m 16.0 km/h 30.0 km/h 2364 m 15.6 km/h 34.0 km/h
Anton Vasilyev 2065 m 15.6 km/h 34.2 km/h 2036 m 14.5 km/h 31.0 km/h
Andrei Loktionov 2142 m 16.9 km/h 32.0 km/h 2511 m 15.9 km/h 32.0 km/h
Kirill Kaprizov 2076 m 15.6 km/h 33.9 km/h 2315 m 15.6 km/h 29.8 km/h
Andy Potts Andy Potts
KHL press office KHL press office
exclusive for
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