Nikola Kovač

Nemanja Kovač

Nemanja Isaković

François Delaunay

Kenny Schrub

Audric Jug

Aleksandr Kostyliev

Natus Vincere

Ilya Zalutskiy

Kirill Mikhailov

Denis Sharipov

Egor Vasilyev

Valeriy Vakhovskiy

Peter Rasmussen

Astralis

Emil Reif

Lukas Rossander

Andreas Højsleth

Lucas Andersen

Philip Ewald

Markus Kjærbye

FaZe

Russel Van Dulken

Finn Andersen

Marcelo David

Helvijs Saukants

Håvard Nygaard

Warsaw-based GGPredict has developed an analytical and training platform for
players participating in Counter-Strike matches. This tool allows to create
conditions for the development of e-athletes, enabling them to better understand
the game and effective training under the guidance of experienced CS:GO players
and coaches. In the funding round that has just ended, GGPredict raised USD 1
million.




The financing round with the participation of ff Venture Capital (ffVC) Tech &
Gaming and the existing investor TDJ Pitango, will allow GGPredict to further
develop technology and expand into foreign markets, including in particular the
American and Scandinavian markets.




The decision to make another investment in the e-sports sector is another step
for the ffVC Tech & Gaming fund in building a strong portfolio of companies,
including a dynamically developing ecosystem. GGPredict gains not only a trusted
capital partner, but above all, mentoring and an extensive network of contacts
in Poland and abroad. We believe that the product offered by the company is
unique on a global scale, and the business model chosen by the founders has
great opportunities to scale and expand into new markets – comments Maciej
Skarul, Partner at ffVC.




GGPredict was founded in 2019 by the founders of the company - Przemysław
Siemaszko, Mateusz Kamola, Daniel Zawadzki (in time they were joined by Michał
Łowigus) - worked at a big data company and faced the problem of analyzing
Counter Strike matches, which they played after hours. They decided to use their
experience in data analytics, IT and gaming to build a tool to solve it.




GGPredict creates a very well-coordinated, quickly learning and developing team,
eagerly drawing on the experience of the best players, coaches and psychologists
in the industry and skillfully drawing conclusions. In addition, it is building
a great and technologically advanced product on a very promising and still
undeveloped market for training and developing e-sports skills. We had no doubts
about the presence of our fund in this round and we will continue to support the
GGPredict team with our know-how and access to the global network – comments
Tomasz Domogała, founder of TDJ & co-founder of TDJ Pitango Ventures.




GGPredict has created a technology that tracks every move and decision a player
makes throughout Counter-Strike matches and training. Based on the data it
collects, it analyzes his performance in over 250 metrics, which it is compared
to a database of nearly one million matches played. GGPredict's AI learns
positive and negative player behaviors in order to guide players on how best to
react in specific game situations.

While working on GGPredict with over 25,000 players, we've noticed that most of
our customers spend more than 20 hours a week playing Counter-Strike. By making
this time be used much more efficiently and wisely, we believe that we are
delivering to players not only time and money savings, but also great
satisfaction and enjoyment with much faster progress. Even using the beta
version of GGPredict, our customers have advanced to higher ranks 10% more often
than the average CS:GO player – comments Przemysław Siemaszko, CEO at GGPredict.




With knowledge of a player's strengths and weaknesses and analytical know-how,
the GGPredict team has teamed up with the best CS:GO players and coaches,
leveraging their pragmatic, 20+ years of experience. The result of this synergy
is Personalized Training Plans - training units, exactly like those performed by
professional players, are tailored to the needs of GGPredict customers thanks to
algorithms that analyze their playing style. The company also plans to develop a
similar technology that will facilitate training for players of titles such as
DOTA 2 and League of Legends.

GGPredict raised funding of USD 1 million for further development and expansion into the US and Scandinavian markets.

As always, we analyzed the tournament in 5 aspects of the game: flash
effectiveness, entry frags, sniper rifles usage, damage dealers, and distance
covered.


The undisputed king of the damage was definitely NAVI Junior star - m0NESY. He
was ahead of the competition by 0.2 kills per round more and 23 damage per round
more. He was also the only player, who had more than 1.0 kills per round and
more than 100 dmg per round. Will he become the future of NAVI and will they
dominate everyone with both, m0NESY and s1mple?


M0NESY is also a player, that won the most opening duels (79%) while being on
the second place with the most opening tries from all players. He also made the
most sniper kills per sniper rounds (1.09) and was the second-best player in
flash efficiency. A complete player at an age of only 16!


About GGPredict: We created an algorithm that analyzes CS:GO demos in more than
250 metrics. GGPredict’s mission is to educate players and help them to improve
those aspects of the game that are not visible at first glance.

m0NESY = s1mple v2? WePlay Academy League season 1 analyzed

In the newest product update we have highlighted the most important changes on
our platform.

So, what are the most important changes on our website?



You can now practice with other future Pro players

In the update, we added several training servers. Now, if you have to play
deathmatch during your training, just go to the Training tab and click “Start
Task”. You will automatically join the best CS:GO server for your training. 


New training section

We have redesigned the training view. We changed the layout of the tiles, added
better task designation and the ability to turn on a training task directly in
the application.

Activity feed

A social module in the form of Activity Feed automatically generates entries
based on the player's activity depending on his performance in the match. Along
with the module, there was a whole notification system informing about likes,
new followers, recommended people, etc.


Public profile

New public profile view. We have added tabs to better group information, the
ability to compare with the user directly in the profile and the Feed tab with
the user's recent activities.


Strengths and weaknesses

Instant feedback from your last game. Just play a game and our analyzer will
give you short tips on what aspect of the game you need to focus.


Start free trial today [https://ggpredict.io/pricing]

With the end of the beta version of the platform, GGPredict plans to monetize
its platform by offering Personalized Workout Plans as a subscription. Until the
promotion ends, you will have the chance to purchase it as an Early Bird for
$9.99. Activity Feed and all analytics features offered so far in free form
remain available to all users.

GGPredict leaves beta version and goes full alpha!

Intentional team damage is a serious problem among all ranks in Counter-Strike:
Global Offensive. We decided to analyze how much team damage players make among
all steam ranks.

From Silver I to Legendary Eagle Master the amount of team damage decreases
significantly for about 0.2 health points per player. What’s interesting, for
the two highest ranks in CS:GO, Supreme Master First Class and The Global Elite,
the number of team damage increases.

We expect that with the ranks increase, the number of damage dealt with guns
decreases and the damage with the nades (mainly molotov and incendiary)
increases. On the higher ranks, people more often decide to rush through their
teammates’ molies.

What's the average damage dealt to teammates by each player per round on each Steam rank?

This week we decided to analyze future-pro players matches from GGPredict to
find out what’s the percentage of shots taken when seeing an opponent.


According to our analysis, FACEIT players decide to take rifle shots more often
when they don't see an enemy. Most of those shots are scans through the smokes
and walls, and shots, that were taken while they are flashed.


What’s worth to mention, FACEIT players throw more flashes, which also blinds
enemies for much longer than Steam players. We have shown this
[https://www.reddit.com/r/GlobalOffensive/comments/l5hypx/whats_the_difference_between_faceit_and_pro/] 
in this infographic.


About us: We created an algorithm that analyzes CS:GO demos in more than 250
metrics. GGPredict’s mission is to educate players and help them to improve
those aspects of the game that are not visible at first glance.


The data source for this infographic is a slice of our database with 321 292
matches of the users registered on GGPredict. We analyze all the games and store
the most metrics of any esports data tool. Our Data Science team used Python to
count the percentages for each rank.

What percentage of shots do players take while they don't see an enemy among all ranks?

This week we decided to find out what are the chances of completing an ace. We
analyzed 238 359 GGPredict.io users’ matches, more than 7 000 000 rounds, to
ensure that our calculations are relevant.

On the first graph, you can see the percentage of having an ace in the specific
round. According to the analysis, most of the aces happen during the pistol
rounds. It’s also much harder to complete the ace during the gun rounds (for
example in rounds 3 and 4 when we mostly see first gun rounds, the number of
aces is one of the lowest). What’s interesting, the least aces are during the
29th round, when most of the teams force buys not to lose the match.

On the second infographic, we decided to show what are the chances depending on
the map and the side you are playing. Nuke is the map, where it’s the hardest to
perform a 5-man multi-kill. If you would like to perform your first ace, you
should rather pick Dust2, where the percentage of aces is the biggest.

What is the probability of having an ace?

The first lan since IEM Katowice 2020 has officially ended. Natus Vincere gave
no chances to G2 Esports and won $400,000. They are also one win away from
winning the INTEL Grand Slam title.



According to our predictions before the tournament and before the play-offs,
both NaVi and G2 had the biggest chances of winning IEM.

This time, we decided to analyze all games of the teams, that advanced to the
playoffs.



On the graphs, you can clearly see who was the best player in the tournament.
Ukrainian star - s1mple, can be found on all 5 infographics. He was the best
sniper of the tournament, killing more than 1 enemy during the round he had a
sniper, making the most dmg per round and kills per round, being one of the most
successful entry fragger in the tournament, and throwing almost perfect flashes.
Real MVP.

From the statistics point of view, we can see that Gambit “new” roster lan debut
wasn’t the best. Sh1ro was struggling to find AWP kills, making only 0.65 sniper
kills during a sniper round, same as gla1ve and AmaNEk, while having the sniper
rifle much often.


We can also see, that after device departure Astralis don’t have a “star”
player. All players play on almost the same level, but they still manage to
advance to the playoffs, even if they are not typed by analysts.

IEM Cologne 2021 analyzed!

The first lan since IEM Katowice 2020 has officially ended. Natus Vincere gave
no chances to G2 Esports and won $400,000. They are also one win away from
winning the INTEL Grand Slam title. 


According to our predictions before the tournament and before the play-offs,
both NaVi and G2 had the biggest chances of winning IEM. Read more about the
methods that we used in this post.


This time, we decided to analyze who would be in the team of the tournament. We
analyzed all matches to find out which players were the best in 5 categories:
sniper, rifler, entry fragger, lurker, and support and picked one player on each
role.


It was very hard to choose the best role for s1mple since he was the best sniper
and one of the best entry fragger and support (GOAT), but we decided to classify
him as a sniper. The Ukrainian star had the most sniper duels won and made at
least one elimination with a sniper rifle in 58% of the round that he had one
(top3 in the tournament).


Broky from FaZe Clan was the player, who won the most opening attempts in the
tournament. He was also second in the difference in opening kills and deaths
(only s1mple above him).


G2 star - NiKo had a very solid performance during IEM Cologne as support. He
has thrown the most smokes per round from all players. He also was very high in
the HE dmg per throw (12.97).


The best lurker in the tournament, nafany, had the best number of kills from the
back. He eliminated one player, who didn’t see him, every ten rounds. He was
also at the top5 of the distance covered per round.


Who would be in your dream team of the IEM Cologne 2021? Put your players below!

IEM Cologne 2021 analyzed! We selected the dream team of the tournament.

Last week we shared our predictions about the chances of advancing from Play-Ins
and additionally, who has the biggest chance of winning IEM Cologne 2021.

Our previous predictions found out that Natus Vincere players were favorites to
win the tournament. Ninjas in Pyjamas were ranked second, with an over 13%
chance of winning the tournament. Unfortunately for their fans, device and
friends lost both matches with CIS teams - Gambit and Virtus.Pro
[https://virtus.pro/].

Virtus.Pro was the team that had the lowest chances of winning the IEM
championship before the tournament. In the last 5 games, they won only one,
versus K23. Their first game vs BIG was also a loss, but then they shocked
everyone, eliminating Complexity, NiP, and taking revenge on BIG Clan.

This time, similar to the previous simulations, we have simulated play-offs over
100 000 times, to find out who has the biggest chances of winning the first lan
tournament in over 1 and a half of the year.

Simulations indicate that the most likely course of events is a repeat of the
final from IEM Katowice 2020. Facing NaVi would be a great opportunity to take
revenge for G2. This pair has almost 30% of the meeting in the final bo5.

The only team from the Play-Ins - FaZe Clan, will have to face one of the best
teams of the world right now - Gambit Esport. If the CIS team will win, they
will have a chance to take revenge on NaVi after the loss in the final of
StarLadder CIS RMR 2021.

How we have counted it?

Our AI, based on the statistics, rankings, and insights we have gathered has
simulated the entire tournament 100 thousand times, taking into account
different circumstances and possibilities. We don't claim that the favorite,
NaVi - is the best team in the tournament, but it has a slightly easier ladder
than the rest of the challengers.

Who has the biggest chance of lifting the trophy? *PLAY-OFFs UPDATE*

IEM Cologne will be the first offline tournament since IEM Katowice 2020, which
was played in March 2020. During this event, Na’Vi showed no mercy for G2
Esport, winning the final match 3:0.

After more than 16 months, we are now back on lan, with 16 teams fighting for 8
slots in the final tournament. We decided to use our AI model to find out who
has the biggest chances of advancing. We have simulated the tournament over
100,000 times to have the most accurate data possible.

According to our simulations, Mousesports, NiP, OG, Vitality, and Complexity are
almost certain to progress to the tournament’s next phase.

In our opinion, there will be three teams fighting for the final, eighth, spot -
EG, FaZe Clan, and Renegades. EG should emerge victorious from this fight and
advance as the last team for the main event of IEM Cologne 2021.

Which team has the biggest chances of advancing from the Play-In stage of IEM Cologne 2021? Our AI model has simulated the tournament over 100,000 times to find out!

Konkurs muzyczny.Jednym z naszych ulubionych ćwiczeń, które rekomendujemy w
naszych Spersonalizowanych Planach Treningowych, jest granie deathmatchy z
włączoną muzyką.

Świetnie stymuluje to Waszą koncentrację. Dlatego wspólnie z naszymi
ambasadorami Jakub "kuben" Gurczyński
[https://www.facebook.com/KUBENtt?__cft__[0]=AZUnT3UFW7Fz-hy4OJ0ptS_RVPYOms0bHEMVpLx0pk6sRMVnopryWHbEn4okpGsb3IBdohxR_FnSonaVJ1cBnb186TZuPrsGsT21WG4f7dTSZpZb1vpnPBU9uodu6BlFBN7YqjKhGotZK-OroFaWMXu4G9-zsA8ZaelijoKXOCADmqeXYclhY5S4BmIp4xuo0pc&__tn__=-]K-R] 
oraz Michał MICHU Müller
[https://www.facebook.com/michucsgo?__cft__[0]=AZUnT3UFW7Fz-hy4OJ0ptS_RVPYOms0bHEMVpLx0pk6sRMVnopryWHbEn4okpGsb3IBdohxR_FnSonaVJ1cBnb186TZuPrsGsT21WG4f7dTSZpZb1vpnPBU9uodu6BlFBN7YqjKhGotZK-OroFaWMXu4G9-zsA8ZaelijoKXOCADmqeXYclhY5S4BmIp4xuo0pc&__tn__=-]K-R] 
tworzymy playlistę z najlepszymi kawałkami do trenowania! Twoja piosenka może
się na niej znaleźć, wystarczy zarejestrować się na naszej stronie, a link do
piosenki wrzucić w komentarzu na naszym fanpage'u.

Do wygrania:1. Analiza Twojej gry przez trenera MAD Lions
[https://www.facebook.com/MADLionsEN/?__cft__[0]=AZUnT3UFW7Fz-hy4OJ0ptS_RVPYOms0bHEMVpLx0pk6sRMVnopryWHbEn4okpGsb3IBdohxR_FnSonaVJ1cBnb186TZuPrsGsT21WG4f7dTSZpZb1vpnPBU9uodu6BlFBN7YqjKhGotZK-OroFaWMXu4G9-zsA8ZaelijoKXOCADmqeXYclhY5S4BmIp4xuo0pc&__tn__=kK-R] 
- Jakub "kuben" Gurczyński
[https://www.facebook.com/KUBENtt?__cft__[0]=AZUnT3UFW7Fz-hy4OJ0ptS_RVPYOms0bHEMVpLx0pk6sRMVnopryWHbEn4okpGsb3IBdohxR_FnSonaVJ1cBnb186TZuPrsGsT21WG4f7dTSZpZb1vpnPBU9uodu6BlFBN7YqjKhGotZK-OroFaWMXu4G9-zsA8ZaelijoKXOCADmqeXYclhY5S4BmIp4xuo0pc&__tn__=-]K-R] 
oraz 30 minutowe, indywidualne konsultacje.2. Rozegranie meczu CS:GO wingman z
zawodnikiem Evil Geniuses
[https://www.facebook.com/EvilGeniuses/?__cft__[0]=AZUnT3UFW7Fz-hy4OJ0ptS_RVPYOms0bHEMVpLx0pk6sRMVnopryWHbEn4okpGsb3IBdohxR_FnSonaVJ1cBnb186TZuPrsGsT21WG4f7dTSZpZb1vpnPBU9uodu6BlFBN7YqjKhGotZK-OroFaWMXu4G9-zsA8ZaelijoKXOCADmqeXYclhY5S4BmIp4xuo0pc&__tn__=kK-R]
, Michał MICHU Müller
[https://www.facebook.com/michucsgo?__cft__[0]=AZUnT3UFW7Fz-hy4OJ0ptS_RVPYOms0bHEMVpLx0pk6sRMVnopryWHbEn4okpGsb3IBdohxR_FnSonaVJ1cBnb186TZuPrsGsT21WG4f7dTSZpZb1vpnPBU9uodu6BlFBN7YqjKhGotZK-OroFaWMXu4G9-zsA8ZaelijoKXOCADmqeXYclhY5S4BmIp4xuo0pc&__tn__=-]K-R]
3. Nagroda od naszego partnera technologicznego SPC Gear
[https://www.facebook.com/spcgear/?__cft__[0]=AZUnT3UFW7Fz-hy4OJ0ptS_RVPYOms0bHEMVpLx0pk6sRMVnopryWHbEn4okpGsb3IBdohxR_FnSonaVJ1cBnb186TZuPrsGsT21WG4f7dTSZpZb1vpnPBU9uodu6BlFBN7YqjKhGotZK-OroFaWMXu4G9-zsA8ZaelijoKXOCADmqeXYclhY5S4BmIp4xuo0pc&__tn__=kK-R] 
- Myszka SPC Gear Lixplus.4. Wszyscy laureaci otrzymają dodatkowo trzymiesięczny
abonament GGPredict.Konkurs trwa do 14 lipca do 10.00, a regulamin znajdziecie
na ggpredict.io!

Regulamin konkursu „Jaka muzyka nakręca cię do grania. Pokaż nam jaka piosenka,
najbardziej motywuje Cię do grania w CS’a!”

§ 1

POSTANOWIENIA OGÓLNE

1. Konkurs jest organizowany pod nazwą "Jaka muzyka nakręca cię do grania. Pokaż
nam jaka piosenka, najbardziej motywuje Cię do grania w CS'a!

2 . Organizatorem Konkursu jest fp “GGPredict.io

3. Partnerem i fundatorem nagród w konkursie jest firma:

https://ggpredict.io/
[https://l.facebook.com/l.php?u=https%3A%2F%2Fggpredict.io%2F%3Ffbclid%3DIwAR3vrwHcTeHAkCJik1aCkhhEkEaMRBmO9ccWs1s427-oQFAuLtwJDRlIduo&h=AT1JmRkT6tdjcKg5kXhmQphIfoh-er1l5A-bkvlz8Vod6j8wnW2Z0ZBz8dB5JziqM0swJmfvzPRYJ2b8b2HWrGKZ8c0I00rmogDAm1face2dhqIOoVAVivkQHYZU-hXUCgGZH9H6]

4. Konkurs zostanie przeprowadzony w dniu 2 lipa 2021 roku do 12 lipca 2021 roku
godziny 10:00

§ 2

WARUNKI I ZASADY UCZESTNICTWA W KONKURSIE

1. Uczestnikiem Konkursu („Uczestnik”) może być każda osoba fizyczna, która:

a) posiada pełną zdolność do czynności prawnych. Osoby ograniczone w zdolności
do czynności prawnych biorą udział w Konkursie za zgodą swojego przedstawiciela
ustawowego lub opiekuna prawnego.

b) nie jest pracownikiem - GGPredict Sp. z o.o

c) nie jest członkiem rodziny pracownika - GGPredict Sp. z o.o

2 2. Warunkiem uczestnictwa w Konkursie jest łączne spełnienie następujących
warunków: a) osoba biorąca udział w Konkursie musi posiadać status Uczestnika
zgodnie z § 2 pkt 1.

§ 3

NAGRODY

1. Nagrodami w konkursie jest:

2. 1. Analiza Twojej gry przez legendarnego trenera Virtus.pro - Jakuba „kubena”
Gurczyńskiego oraz 30 minutowe, indywidualne konsultacje.

2. Rozegranie meczu CS:GO wingman z zawodnikiem Evil Geniuses - Michałem Michu
Mullerem.

3. Myszka Spc Gear LixPlus.

4. Wszyscy wygrani otrzymają dodatkowo miesięczny abonament GGPredict.

*Uwaga - kolory nagród mogą się różnić, od tych przedstawionych na zdjęciu
konkursowym. Wszystko zależy od stanu magazynowego.

3. Celem zapewnienia prawidłowej organizacji Konkursu, Organizator powołuje
komisję konkursową. Wszelkie wątpliwości dotyczące zasad Konkursu, interpretacji
i postanowień tego Regulaminu rozstrzyga Organizator.

4 Laureat konkursu zostanie powiadomiony poprzez ogłoszenie jego imienia oraz
nazwiska w poście konkursowym przez “GGPredict” w ciągu 5 (pięciu) dni roboczych
od zakończenia Konkursu.

5. Celem potwierdzenia chęci przyjęcia nagrody, powiadomiony Laureat powinien
odpowiedzieć wiadomością Facebook-ową w terminie 2 (dni) od dnia wysłania
powiadomienia, pod rygorem przepadnięcia prawa do nagrody.

6. Otrzymana nagroda zostanie wysłana do Laureata drogą pocztową w przypadku
sprzętu. O wygraniu rozgrywki z kubenem/Michem zwycięzca zostanie powiadomiony
drogą mailową.

7. W myśl niniejszego regulaminu, każdy uczestnik zwalnia serwis Facebook z
odpowiedzialności za konkurs prowadzony przez Organizatora

8. Konkurs nie jest w żaden sposób sponsorowany, popierany, przeprowadzany przez
serwis Facebook, ani z nim związany

§ 4

DANE OSOBOWE UCZESTNIKÓW KONKURSU

1. Warunkiem udziału w Konkursie jest podanie przez Uczestnika Konkursu
prawdziwych danych osobowych, tj.: imienia, nazwiska, adresu, adresu konta
poczty elektronicznej, numeru tel. kontaktowego niezbędnych do przekazania
nagrody

2. Przystępując do Konkursu i akceptując niniejszy regulamin Uczestnik wyraża
zgodę na przetwarzanie podanych przez niego danych osobowych przez Organizatora.
Dane będą przetwarzane w celu przeprowadzenia Konkursu oraz w związku z wydaniem
nagrody.

§ 5

POSTANOWIENIA KOŃCOWE

Organizator ma prawo do zmiany postanowień niniejszego Regulaminu, o ile nie
wpłynie to na pogorszenie warunków uczestnictwa w Konkursie. Dotyczy to w
szczególności zmian terminów poszczególnych czynności konkursowych. Zmieniony
Regulamin obowiązuje od czasu opublikowania go na stronie www.ggpredict.io

Uwaga - konkurs!

To be as accurate as possible, we’ve analyzed 7,557 matches, which gave us data
from over 200,000 rounds.


On most maps, flashes are the most used nades. The only map on which pro players
use smokes than flashes is Nuke. We’ve asked kuben, the legendary Virtus Pro’s
coach about that. 

“It's hard to blind your opponent from top bombing executions, even with perfect
timings and a bit of luck. More often used individually to force the person
defending the ramp or square to relocate and let go of the defended position.”


Nuke is also the map, on which pros’ are using the smallest number of grenades.
The difference between Nuke and Inferno (the map with the highest amount of
nades used during the round) is almost 3.5 grenades per round.


We found it very interesting that pro players use the most incendiary grenades
on Inferno. Coincidence with the name? We don’t think so.

“Molotov - this is where Inferno reigns again. For good reason. The smoking
cocktail allows the attacking team to gain more and more space on the map in
default and is an integral part of executions on bombsite B.” - said Jakub Kuben
Gurczyński


“HE is naturally the most rarely used grenade. As the chart shows - it is most
often used on the inferno and nuke maps - because it is there that we have the
greatest probability of dealing high damage to a larger group of enemies located
in a small space.”

How many nades pro teams use on each map? We analyzed over 200,000 rounds to find out!

This week, we analyzed matches of the users of our platform to find out how many
shots a statistical FACEIT and Steam player needs to kill the opponent and how
many shots he needs to take to eliminate the opponent when he spots one.

From the graphs we can easily see, that low-rank players are scanning and
pre-firing very rarely. Most of their shots are fired when they spot the enemy
player.

On both graphs, the difference between FACEIT LVL 10 and Global Elite is very
little. Both platform players need to shoot about 7 bullets to eliminate the
enemy player when they spot one and about 21 shots per kill.

How many shots do you need to take to eliminate the opponent?

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.

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Your Personal CS:GO Virtual Coach

GGPredict raised funding of USD 1 million for further development and expansion into the US and Scandinavian markets.

m0NESY = s1mple v2? WePlay Academy League season 1 analyzed

GGPredict leaves beta version and goes full alpha!

What's the average damage dealt to teammates by each player per round on each Steam rank?

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