Aleksandr Kostyliev

Natus Vincere

Ilya Zalutskiy

Kirill Mikhailov

Denis Sharipov

Egor Vasilyev

Valeriy Vakhovskiy

Nicolai Reedtz

Tim Jonasson

Nicolas Gonzalez Zamora

Fredrik Sterner

Hampus Poser

Kristian Wienecke

Complexity

Benjamin Bremer

Valentin Vasilev

Justin Savage

William Wierzba

Vladislav Gorshkov

Gambit

Abay Khasenov

Sergey Rykhtorov

Dmitry Sokolov

Timofey Yakushin

Owen Schlatter

Evil Geniuses

Vincent Cayonte

Tsvetelin Dimitrov

What's the average round time among CS:GO FACEIT and Steam players?
We have analyzed over 500.000 Counter-Strike matches of GGPredict's users to
find what's the average cs:go round time.

Looking at the chart we can see a sine wave. Players, with a low rank at Counter
Strike Global Offensive are more willing to rush with no plan for the game and
end the round faster.

With the rise of the ranks, we see that players are playing more slowly, with a
focus on gaining more and more map areas.

From Legendary Eagle and FACEIT level 7, we see another decrease in the round
time. High-ranked players more often decide to play each round much faster and
rush bomb sides with a fast nades execute.

What's the average round time among FACEIT and Steam players? We have analyzed over 500.000 matches of GGPredict's users to find it out

Analysing the average number of rounds across platforms and ranks we immediately
see that in general the higher the performance level, the longer the game. As
players progress with their skills they are less prone to be dominated and (in
case of MM games) stumble into a smurf. While playing on Silver level, very
one-sided score lines are a frequent view, which doesn't happen that often on
e.g. Legendary Eagle where players tend to come prepared for games and be able
to win at least some rounds. It is also the most common to forfeit games at
lower levels, with highest probability among unranked players.

Small round counts in matchmaking games can be also attributed to lower
motivation. This is especially visible when compared to FACEIT. In general,
players are more competitive there, so even on level 1, they are less prone to
give up and just throw the game that on any MM rank. Here again the number of
rounds played per match rises with performance, but changes are less significant
especially at levels 6-10. The only very strong shift happens between levels 3
and 4, as from 4 upwards we see very few surrendered games.

Sudden drop at a highest level in Matchmaking games comes from higher number of
cheaters than in other games. Unfortunately, even for players that work hard and
try to improve with GGPredict this is a big issue. At FACEIT level 10, the drop
is not very significant, but we attribute it to higher number of games played
daily by players on that level and fatigue.

How many rounds does it take to win a CS:GO match?

Finały Polskiej Ligi Esportowej były pierwszym turniejem offline w Polsce od
początku pandemii.

Skazywany na porażkę mix byłych graczy Illuminar Gaming zaskoczył wszystkich
wygrywając z wyżej rozstawionymi drużynami, nie przegrywając ani jednej mapy.

Jednym z najważniejszych graczy u nowego mistrza PLE był, wypożyczony z x-kom
AGO, Miłosz "mhL" Knasiak.

Według statystyk, najlepszym zawodnikiem turnieju był Piotr "Morelz" Taterka.
Zajął on najwyższe miejsce pod względem obrażeń zadawanych na rundę oraz
najczęściej z Illuminar brał udział w duelach otwierających, wygrywając niemalże
57% z nich.

Do udanego turnieju na pewno nie zaliczą gracze Honoris. Obecni mistrzowie
Polski ESL pożegnali się z turniejem już pierwszego dnia, po porażce w półfinale
drabinki przegranych z Illuminar Gaming.

Polska Liga Esportowa za nami. Co za występ Illuminar Gaming!

First of all, to clarify what reaction time is and how do we understand - it is
a length of time measured between a stimulus and your response to that stimulus
controlled by your central nervous system - usually it is a fraction of seconds
between 150 and 300 milliseconds.

Based on our users’ data, of over 500 thousand players, we can clearly notice a
significant decrease in average reaction time and rise of steam ranks or Faceit
ELO scores. Many results may cause this result. One of them is of course used
devices, especially your monitor, keyboard, and mouse. Professional CSGO players
and higher ranked players always play on at least 120Hz refresh rate displays
that give them lower video latency and increase smoothness while moving your
mouse but also use best-in-class accessories that minimize their input lag.
Other important factors are our genetic preferences and fatigue, it's a
no-brainer that we shouldn't force ourselves to play without any breaks or every
night until late hours when our body and mind should have a rest.

In terms of genetics, it is proved that the older we are the slower our reaction
is, but also some of us has simply better predisposition to act faster than
others and you cannot reach any level you want despite how hard you train but
don't worry Counter-Strike is not only about reflex and reaction time, it's just
one of many aspects you can gain advantage on, but there are much more which can
make you a great player.

For pro players, we've taken just players from the top 20 teams and their
average reaction time from the last 10 maps. What can be observed is that the
slowest players are those who mostly play with an AWP. Our hypothesis is caused
by common long patient scoping and precise aiming to make quick shots right
after noticing the opponent on the screen. While shooting/tapping with AK-47 you
know you can use 30 bullets so you can use bullets one after another controlling
spray at the same time, but as an AWPer, there is very often only one chance
after which one you need to reload your weapon and this may be crucial to use
that time for the opponent and gain space advantage during the round, so
sometimes it's better to slow down a bit and shoot the target rather than shoot
as fast as you can and miss it.

Considering how important reflexes are for Counter Strike players - introducing
exercises and tasks to improve this element is one of our top priorities, so you
will soon find integrated training sessions focusing on reaction time on
GGPredict. 

Kuben gave us a great way of training your reaction time offline with a friend: 

> We train with tennis balls - 1 person holds two balls in both hands, and the
second person holds his/her hands on the clenched hands of the first person. The
person holding the ball at any time opens his hand and lets go of the ball. The
second person tries to catch the ball falling down. This is a great exercise to
warm up before a match.

How your reaction time decreases as your rank increases



Kilka dni temu x-kom AGO po raz trzeci w swojej historii zdobyło tytuł ESL
Mistrza Polski po krótkim meczu na Honoris. Spojrzeliśmy na całą fazę finałową i
wybraliśmy najlepszych zawodników w poszczególnych kategoriach.

Najlepsi gracze podczas ESL Mistrzostw Polski 2021

Yesterday's evening was full of emotions, which were brought to us not only by
the players of both teams, but also by the organizers of the Flashpoint
tournament, who couldn't quite handle the problematic situation. Regardless of
what kind of problems Ninjas in Pyjamas [https://ggpredict.io/csgo/teams/9] had
with their internet connection and whether it actually made it impossible to
play, what matters is that Anonymo [https://ggpredict.io/csgo/teams/2391] 
withstood the pressure and despite a very poor start on Overpass, they managed
to turn the scales of victory on their side.

In today's analysis, we focused on the player who the eyes of the esports world
were on. Nikolai [https://ggpredict.io/csgo/players/22], in our opinion, played
a very good game and lived up to expectations, but this game proved once again
that Counter-Strike is first and foremost a team sport and that even an
outstanding performance by an individual doesn't stand a chance against a
well-coordinated team that works together, supports each other and is one body.
And that's exactly what Anonymo [https://ggpredict.io/csgo/teams/2391] was
yesterday, which could also count on individual performances from Snax
[https://ggpredict.io/csgo/players/1289], Innocent
[https://ggpredict.io/csgo/players/519], and mynio
[https://ggpredict.io/csgo/players/536] at various points throughout the game.
It can be seen in the utility usage stats, where Anonymo
[https://ggpredict.io/csgo/teams/2391] team outnumbered their opponent by far
(grenade usage 2.04 vs 1.84 per round). Below is our head-to-head analysis.

Anonymo Esports vs NiP - analysis

DreamHack Masters 2021 was another tournament in 2021, where we saw teams from
CIS in the final. This time, Natus Vincere became the champion, after a 3-0
sweep over Gambit.

In the Snipers section, ZywOo deserves attention. He wasn’t playing AWP very
often during this tournament, but when he did, he was making loads of
eliminations.


On the other hand, sh1ro had the sniper in almost 70% of rounds, but he was the
bottom fragger sniper with an AWP in the tournament.

Ropz was a complete beast during the early round. He was responsible for more
than 26% of mouzesports entries and won 60% of them.


What’s the most interesting thing is that in FaZe Clan karrigan was in almost
28% of opening tries, while winning only 27% of them.

ZywOo was also the best player in ADR. He dealt more than 93 dmg per round and
killed almost 1 enemy per round.

DreamHack Masters 2021 analyzed! Who was the best sniper, damage dealer, entry fragger, who throw the best flashes, and who covered the most and the least distance per round?

Four-times major winners - device, dupreeh, and Xyp9x, hold the top three spots
in the total earnings. Those players played on every major and earned 457,950$.


Just after the legendary trio, we can find their teammates from Astralis -
gla1ve and Magisk, who earned 424,350$ and 314,000$ in sequence.

Fnx is the player, who earned the most money for the number of appearances
during the Major tournaments. He won both tournaments, that he played in, and
won 100,000$ during both of them.



On the high position, we can find Astralis player - gla1ve, who appeared in 11
majors and still was placed in the third place of the ranking.

Who earned the most money during CS:GO Majors?

Markus „Kjaerbye” Kjærbye is the youngest player that has ever won a major.
During the final match of ELEAGUE Major 2017, he had only 18 years and 277 days.
The current FaZe player overtook JW, the winner of Dreamhack Winter 2013, by
only 3 days.

JW shows up in the classification two times. 2 years after the win in Jönköping,
his team - fnatic, won during ESL One Katowice 2015. The final match was played
20 days after his 20th birthday, which gave him also 4th spot in the ranking of
the youngest CS:GO Major winners.

Virtus.pro win during EMS One Katowice 2014 connects the youngest and the oldest
Major winners. In the top3 of the youngest players, we can find byali, who had
19 years and 320 days during the final, and as top5 and top3 of the oldest major
winners we have Neo and Taz, respectively 26 years and 275 days and 27 tears and
283 days.

The rest of the top5 is filled by Gambit Esports players - Adren, Dosia, and
Zeus. During PGL Major Krakow 2017 they had 27 years and 169 days, 29 years and
34 days, and 29 years and 289 days in sequence.

Who was the youngest and the oldest player that has ever won a major?

Inspired by cadiaN's recent clutches against Gambit, we started looking at how
the chances of successfully completing a round on each tournament map break
down.

To do so, we analyzed over 200,000 rounds in professional matches over the last
two years. 

As you can see, they distribute differently on each map - clearly decreasing if
a player was left alone against three opponents.

Additionally, we asked kuben, coach of Mad Lions to comment from the perspective
of one of the best coaches in the world.



> Looking at the charts made by GGPredict we have a perfect picture of what your
chances of winning in a clutch situation on all the maps actually look like.
> Winning a 1v2 clutch as T side on maps where the BombSites are far from each
other gives us a chance to win a few precious seconds that the opponent needs to
run towards the BS on which we have just planted the bomb. Thanks to this, we
can also effectively play 'by sound' and control the course of the 'post plant'
situation after eliminating the first opponent.
> A perfect example is de_inferno. It takes about 15 seconds to travel from  A to
B site. However, on de_train it takes a maximum of 5-7 seconds - hence our
chances of winning 1v2 as Terrorists decrease and amount to less than 20%.

What are your chances of winning at the clutch?

Heroic's success in the EPL came after a great across-the-board performance from
cadiaN, who was the most efficient AWPer in the whole tournament, but also led
his team in damage dealt and entry K/D. The runner-ups, Gambit were carried more
evenly by multiple members of their team, with Ax1Le topping the ADR and kills
chart, Hobbit being among the best entry fraggers, and sh1ro taking the most
sniper duties among all players in the event.

On the other side of the scoreboards, we can see a disappointing playoff
performance by Astralis being reflected in data, having the lowest ADR on their
main rifler - Magisk and very poor entry success with 40% on Xyp9x being the
best result in the team.

Was it just a bad day for Astralis or we are seeing an era of one of the
greatest teams in history coming to the end?

ESL Pro League Play-Offs analyzed!

We took a look on HLTV's TOP30 ranking.
In esports, unlike in traditional sports, teenagers are often experienced
players who take the burden of running the game on themselves. Although there
are not many underage players among the TOP30 teams, the youngest of them -
bymas - has already been the hero of two high-profile transfers in the past
year. It is worth noting that the three most interesting teams of recent months
- Gambit, Heroic and Virtus.pro - are organizations that rely on young talent,
with the average age of the teams oscillating around 21-22 years.

> In my opinion, it's difficult to determine at what age a CS: GO player reaches
their breaking point because every team has a different environment and
individual players need different incentives to get the best out of themselves.
In many situations, they also limit their role in the game to what they prefer
without trying other solutions. However, based on GGPredict's analysis, most of
the players in the top30 are 21-22 years old. - said Jakub "kuben" Gurczynski,
co-founder of GGPredict.


In the graphic below you can see that SKADE, a Norwegian organization based on
promising young Bulgarians, is by far the youngest team, and the consistently
developed experiment is successful. There is as much as 14 years difference
between bymas and RPK and you can see the difference in the average age of
players and IGLs.

The conclusion of the following analysis is that the best age for a player is a
combination of a still young age, which brings with it very good reflexes,
combined with a few years on the world stage, which allowed to gain enough
experience and immunity to the pressures of Tier 1 tournaments. Certainly a very
interesting topic in the context of early retirement is burnout and constant
pressure, which many great players have spoken about in recent times, motivating
the need to take a break or even end their careers.

What's the best age for CS:GO?

Mad Dog's PACT - Poland's top Counter-Strike: Global Offensive team and recent
PLE Polish Champion has partnered with Polish platform GGPredict, which will
prepare analytics solutions for the organization.


GGPredict is a Polish startup that supports players with Counter-Strike
analytics and training. The artificial intelligence-based platform has already
analyzed more than 250,000 matches in over 200 statistics. The team was recently
joined by Jakub kuben Gurczynski and Michal MICHU Müller, who create training
plans with the company for its customers.


GGPredict will support PACT in maintaining an information bank and in supporting
the organization's coach and players in analyzing and better understanding their
game. In addition, the two companies will work together marketing-wise to create
content and analysis

> PACT is one of the best teams in Poland, we are very happy to have the
opportunity to work with such a well-structured team. Our goal is to support the
organization in better and faster analysis of their game, but also to help them
prepare for matches against their rivals. Additionally, our analysis and
articles get a lot of attention on social media, and in this aspect, we also
have a lot of shared ideas with PACT. We are making our platform for players and
it is their opinion that is crucial for us - we couldn't think of better testers
of our new solutions than PLE Polish Champion players. - Michał Łowigus.

GGPredict becomes the analytics partner of Mad Dog's PACT

ESL Pro Series group A ended, now it's time to analyze who was the best sniper,
damage dealer, entry fragger, who throw the best flashes, and who covered the
most and the least distance per round.

For the snipers' infographic - as a sniper, we count AWP, Scout, and both
automatic snipers.

ESL Pro Series group A analyzed

kuben is not only a cult figure in Poland but also one of the most recognizable
coaches in the world. With more than 15 years of professional experience, he
will be translating his vast experience into a system that will help our clients
develop their skills in Counter-Strike. The perspective of an experienced player
and coach, combined with the competitive insight of Michal MICHU Müller and the
machine learning technology developed by our team, should make esports training
more effective than ever before.


When training football or basketball, you are under the supervision of an
experienced coach - unfortunately, young players usually don't have such an
opportunity. The idea of GGPredict, to combine their technology and knowledge
from the field of analytics and artificial intelligence, with my perspective and
experience in coaching players, seemed really interesting to me. I look forward
to sharing my experiences that will reach thousands of players around the world. 
- kuben. 


GGPredict has created technology that tracks a player's every move and decision
throughout a match. Based on the data it collects, it analyses his performance
in over 200 metrics, which it compares to a database of several hundred thousand
matches played. Thanks to artificial intelligence and machine learning,
GGPredict learns the positive and negative behaviors of players, in order to
suggest players how to play better with the help of its Virtual Coach. With the
knowledge of the player's strengths and weaknesses, the program will be able to
automatically adjust training units and whole cycles created by our mentors to
the individual needs of the client. 


Kuben will be in charge of creating training units, plans, and overall strategy
for the Virtual Coach. In the coming months, we will be releasing a training
system that will automatically create and adjust training plans created by kuben
and MICHU after identifying your playing style and aspects that need
improvement. You will train under the guidance of the best experts in the world
exactly what you need to improve, without wasting time on things that are
irrelevant. 


After our first conversation with Kuba, we knew that his unique experience would
be a milestone in the development of our project. We know that his knowledge of
CS:GO and player behavior will be of great value to our clients. With his vision
and approach to the game, we will be able to create training plans that will
perfectly meet the needs of the market. - Przemysław Siemaszko, CEO of
GGPredict. 


GGPredict is a free analytics tool that has been operational since September
2020. The launch of training plans in the form of beta testing is planned for
May this year. Ultimately, the training plans will be in the form of a premium
service paid for by subscription.

s1mple

Perfecto

Boombl4

electronic

flamie

B1T

device

nawwk

Plopski

REZ

hampus

k0nfig

blameF

poizon

jks

RUSH

nafany

Hobbit

Ax1Le

sh1ro

interz

oBo

Brehze

CeRq

Your Personal CS:GO Virtual Coach

What's the average round time among FACEIT and Steam players? We have analyzed over 500.000 matches of GGPredict's users to find it out

How many rounds does it take to win a CS:GO match?

Polska Liga Esportowa za nami. Co za występ Illuminar Gaming!

How your reaction time decreases as your rank increases

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