BRISBANE LIONS BALL MOVEMENT 2025

                           

The Brisbane Lions have been the best ball movement team in the AFL for years now with a focus on complete control with ball in hand, backed up by once again leading the league with an average of 104.4 marks per game in 2025.

But let’s go back a few steps…

Ex-West Coast coach Adam Simpson was a weekly feature on AFL 360 this past season and q1 week took a look at rebuilding a list and used Brisbane from 2017 to 2019 as his example.

The Lions finished 2^nd last in 2016 with 3 wins, a % of 61.6 and averaged the fewest marks per game with 72.7.

Chris Fagan takes the reigns in October of 2016 and we see a couple of shifts.

2016 – 18^th for marks @ 72.7/game

2017 – 8^th for marks @ 94/game

2018 – 2^nd for marks @ 99.3/game

2019 – 11^th for marks @ 89.5 (an obvious league shift to uncontested marks as a whole)

2020 – 3^rd for marks @ 75.6 (Covid season so shortened game times)

2021 – 11^th for marks @ 92.8/game (at this point they seem to double down on uncontested marks and increase year on end where other teams are up and down from year to year)

2022 – 8^th for marks @ 94.8/game

2023 – 3^rd for marks @ 98.9/game

2024 – 1^st for marks @ 110.5/game

2025 – 1^st for marks @ 104.4/game

And this will build the focus of this report – Brisbane’s Ball Movement.

The main stat for comparing control to chaos game styles is the average marks/game – average ground ball gets/game where the league average for 2024 was 3.1 (more ground balls than marks). It’s common sense to think that if there is a lot of ground balls then there’s a lot of 50/50 contests resulting a very physically demanding game style that probably isn’t sustainable with how long the season is these days.

In 2024, Brisbane averaged 20 more marks than ground balls yet were still 2^nd in ground ball differential.

When the Big O went down and Joe Daniher moved into the ruck that year, Fages brought his medium forwards up closer to the contest and then had them spread rapidly when the Lions won possession, pulling the defense out of shape and allowing for more handball out of congestion where in 1 single game they gained 500m from that action alone – an all-time high since Richmond back in 2017.

They built upon this little tactic in 2025 as we’ll see later on.

They were, and still are, the best ball movement team in the competition led by their constant motion by foot to shift opposition defenders – they ranked 1^st for quick release kicks 93secs or less) to find uncontested marks at 25.8/game.

This helps them greatly in being 1^st for scores from turnover.

After the season finished I went back and looked at each game and the marks Brisbane took in each of them, then I watched the 3 highest total mark games of the season:

Round 1 v West Coast x 148 marks

Round 12 v Essendon x 136 marks

Round 23 v Fremantle x 159 marks

…and looking for any trends I could find in how they go about reaching these ridiculously high mark totals which gives them more control of the game then the opposition each and every week.

Here’s what I found...

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LAYERING YOUR TRAINING ACTIVITIES

You've come up with a great game model but then the questions announce themselves?

How will you teach it?

How will the players learn it?

How will the players retain the concept?

What about the mixed ability of the playing group?

How can we build it robust enough to stand up in the chaos of an actual game?

I'm certain most coaches don't go through a process anything like this.

We had 2 new girls come and train with us Wednesday from a powerhouse division 1 women's team and the feedback from both was that training was "different to what I've done before (50 games)" and "it was different but good (97 games)", shoeing that even the biggest/best clubs still have a huge way to go to nailing their training practices (imagine their results if they do!).

So time and care need to be taken into your selection of training activities, when you introduce them, how you introduce them, and how you build on them.

It's also crucial to take into account how people learn and retain information.

For this example, it's basic transition offense where we want to maintain possession and progress towards our goals.

LAYER #1...

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20 NEW STREAMLINE TRAINING ACTIVITIES

                                    

A new edition of this covering training activities #192 - #2?? and as usual there's only a quick explanation, no diagrams or images.

#192 - OUTNUMBER ADVANTAGE TO OUTNUMBER DISADVANTAGE 

#193 - TACKLING SEQUENCE

#194 - PROTECT THE BALL SEQUENCE

#195 - WALL RONDO PASS

#196 - FINISHING WAVE

#197 - TEAMS IN TEAMS SEQUENCE

#198 - PRESSING VICTIM

#199 - 5v5+4 POSSESSION

#200 - 6v6+2

#201 - TIEBREAK

#202 - TEAM TIMER

#203 - DEFENSIVE SHAPE/POSITION

#204 - ROLE PLAYERS

#205 - HOLDING HANDS RONDO

#206 - TAKING ADVANTAGE

#207 - 3v3 SEQUENCE

#208 - 2x4v3+2 RONDO

#209 - TRI COLOR GAME SEQUENCE

#210 - 6v4 BUILD UP

#211 - CONTINUOUS OVERLOAD SEQUENCE

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COACHING MODERN FOOTBALL CHAPTER 18 - CENTER BOUNCE CLEARANCE VOLUME 2

                                                       

I have just completed a 2nd volume for Center Bounce Clearance and an 18th chapter in the Coaching Modern Football series that is now available from the register page. 

We start out looking at organising your set up by taking into account things like:

• How To Set Up
• What Are We Trying to Achieve?
• In the Contest
• Tap Zone
• Contingencies

Then in the 38 center bounce clearance examples I have we look at the different tactics used such as:

• Push In
• Reverse Sweeper
• Explosion
• Deception
• All In
• Block
• Roles
• Hold Out
• Big Punch

SPATIAL STRUCTURES OF COMPETEING SOCCER TEAMS STUDY

I haven't posted a study for a while but I'm still reading them all the time and this one looks at how soccer teams use the ground space at various times of the game and how it then contributes their success.

• Studies usually analyse teams’ convex hull which gives the measure for the overall spread of the team in space but which ignores the contributions of the players that are within it

• In this latest study they computed the convex hull of those internal players and then calculated the ratio of the area of the inner convex hull over the area of the outer convex hull which provides a single number that encapsulates the geometry of a team for a given point in time
• The ratio of the areas of these 2 convex layers almost always dies out at .5 meaning there are almost no cases where the area of the inner layer exceeds 50% of the area of the outer layer in both attacking and defensive phases of play
• You can determine how many opposition players a pass out-plays based on longitude coordinates
• AFL uses talent tracker (?) at junior level to reveal spatial patterns in player development
• Reduced player dispersion = shorter passing strategies
• Greater player dispersion = longer passing strategies
• On defense, teams devise formations to limit the oppositions space while maintaining cohesion
• If a player goes outside of this then a teammate can be exposed to high demands to compensate for it
• The convex hull is the area where all players fit into but the probability is that not all players in the hull are contributing to it so here they used an inner player convex hull and then looked at the ratio of the areas encapsulating (mostly) all spatial structure of a team to 1 interpretable number
• This is to be used along with the external convex hull, not replace it, as they provide different data
• Convex hull is great for overall team dispersion but doesn’t give you a lot on the intricate contributions of internal players to the team’s spatial structure where they’re pivotal in maintaining cohesion, controlling transition and sustaining tactical balance
• Data consists of positional data including player and ball coordinates
• Categories for collection x possession (deliberate control of ball for 3+secs), out of possession (opposition has deliberate control of the ball x 3+secs), undefined state (ball in play but lacking clear control), set pieces (10secs before/after a player returns the ball to play by taking a set piece such as a throw in, in/direct free kick, penalties and corners), dead ball (ball typically out of play)
• Attacking success x play ball into forward 3^rd + defensive success x ball stopped prior to the opposition forward 3^rd
• Divide the inner area by the outer area and results would range from 0 (if there were 0 – 1 player's contributing to the inner layer) to 1 (if the inner layer would fit perfectly into the outer layer which is practically impossible)
• The convex hull is all players + the goal-keeper then the inner layer so a small area surrounded by big area
• If the inner area is 10% of the outer layer then that’s a score of 0.1
• Beyond splitting the data up according to different modes of play, they also wanted to separate it according to a ball-progressing measure such as when a team has possession, are they successfully progressing forward towards their goal and/or is the defensive team successful at preventing them from doing so
• This is done via splitting the pitch into 3rds x defense, middle and forward 3^rds
• A successful ball-progression occurs when the ball is played from 1 area to another in a single possession
• On defense, teams can invite them deep to counter with more space but it still stands for the most part
• The study was able to compute the convex hull for both inner and outer layers and technically there could even be 3 layers but it won't be the case for the relatively small amount of players on 2 soccer teams but for AFL it definitely could be
• A universal patter emerged that was regardless of whether you were in attack or defense, that both result in drastically different spatial structures – spread/compact - or even whether they were successful ball progression attempts or not, the ratios peak at .18 (inner is 18% of outer) and these distributions always die out at .5
• There were barely any cases where the ratio was .5 or more
• The typical number of players that created the inner layer was 3 - 5 players (4 mostly) and 5 – 7 for the outer layer (6 mostly)
• Goal keepers are now often involved in transition offense but once they gain control in their forward half then they frequently remain near the opposition goal so that can skew things a touch but the ratio of where things die out is similar anyway
• In the search for a possible 3rd layer, they typically found 0 – 2 players within the inner layer (core players)
• The higher the layer ratio, the closer the players in the inner layer are to the outer layer
• The area of the inner layer (convex hull of the central players) is always up to 50% of the outer layer
• Layer ratio always dies out at .5 regardless of the phase of play, whether ball progression was successful or not or whether goal-keepers were taken into account or not
• A previous study showed that the average distance between defensive and midfield lines was 7 - 13m v midfield/attacking lines 9 - 17m but can vary depending on team strategy as a high pressing approach reduces inter-line distances while deep defending can also compress those spaces
• This study facilitates a rapid assessment of whether teams are occupying significant portions of the peripheral zone, thereby creating a narrow corridor between inner and outer layers
• If this is the case then it may indicate a vulnerability in the team’s defensive positioning and potentially exposing them to exploitation by the opposition but if this is always true then could teams adapt to new forms of collecting defending and are such gaps necessarily an issue for attacking?
• Further questions to address include how does 1 team's instantaneous layer ratio depend on the oppositions? Where on the pitch and in what situations do we typically see smaller layer ratios depending on opposition? How does the location of the inner convex hull relative to the outer convex hull affect team performance?

AFLW GRAND FINAL GAME ANALYSIS - NORTH MELBOURNE v BRISBANE PART 2

                             

There's not too much left to say really but I did attend 5 or 6 North Melbourne AFLW training sessions so I do have a small database of the training activities they use so I might package it all up at some point but I have been using their warm up with my senior women's team and it works really well in focusing and training with intensity from the very 1st second of training.

There are 3 clips left from the Grand Final with each being posted individually below.

- Brisbane Transition Offense

- Brisbane Defenders

- Numbers

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