Math Lacome

🚀 - Sport scientist -
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One of the challenges to assess match demands is that the intensity and density of actions is likely time-independent, i.e., the longer the period, the lower the average intensity. Delaney et al. proposed to model match-related locomotor intensity vs. time relationship during matches using a power relationship. We used this method in a recent paper to examine at which extent different SSG formats could be used to either under- or overload the running- and/or mechanical- demands of competitive matches.

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Recently, interest for GPS-embedded accelerometers variables has grown. Indeed, while classic locomotors variables give many pieces of information about the external load, little is known about how players’ cope with this load in return. GPS-embedded accelerometers, in return, allow the calculation of promising variables and among them, Force load. Force load refers to the sum of estimated ground reaction forces during all foot impacts, assessed via the accelerometer-derived magnitude vector ( Lacome et al.

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In my last post, we saw a method to perform simple between-players normalisation to get first insights on players’ “performance” status. Like every model, this one has some known limitations and thus, it is important to use it in combination with other models to create a full stream of information. To overcome the limitations inherent to the use of this method, examining the dose-response relationship between workload and immediate physiological responses (or more simply generic models of work efficiency, i.

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When it comes to providing reports to the coaching staff or players, the first impression is always important. Within 5 seconds, a coach can decide not to have a look at your report. Within 5 seconds, it is always the design and overall aspect of the report which makes a difference, rarely the underlying analyses. In its brilliant paper Want to see my report, Coach, Martin Buchheit talk about the importance of effective sports science support and rank the attractiveness of the reports among the most important elements to take into account.

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We (Martin Buchheit, Ben M. Simpson & me) recently published a paper dealing with monitoring training status with GPS. If this paper, we argue that “Since player activity patterns are more heavily influenced by contextual variables (e.g. rules, coaches’ interventions, scoreline, drills used) than players’ current fitness status 1, locomotor-related variables (level 1 and 2) may not be the most appropriate to directly monitor players’ training status.” We proposed that player activity normalisation relative to the mean or median of the team (or a sub-group of player) could be another way to look at the data.

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Projects

Rugby - Demands of elite U20s rugby union

All the papers we published aiming at understanding the demands of elite U20s rugby match play and the impact of congested periods on players.

Soccer - Small-Sided Games

This project group post & papers related to the use of small-sided games to train soccer players or analysis of data collected during them to assess how players cope with training

Selected Publications

(2018). Monitoring players' readiness using predicted Heart Rate responses to football drills. In Int J Sports Physiol Perform.

Pubmed ResearchGate

Recent Talks

FFR | Science et Rugby | 2018
Jun 23, 2018 10:00
PSG | Striving for Excellence | 2018
May 15, 2018 14:00
FFF | PrepaFootPro | 2017
Sep 1, 2017 14:00

Recent Publications

More Publications

. Sleep quality and quantity of international rugby sevens players during preseason. In J Strength Cond Res, 2018.

ResearchGate

. Training Periodization Over an Elite Rugby Sevens Season: From Theory to Practice. In Int J Sports Physiol Perform, 2018.

Pubmed ResearchGate

. Injury rate and prevention in elite football: let us first search within our own hearts. In Br J Sports Med, 2018.

Pubmed ResearchGate

. Monitoring of Post-match Fatigue in Professional Soccer: Welcome to the Real World. In Sports Med, 2018.

Pubmed ResearchGate

. Monitoring players' readiness using predicted Heart Rate responses to football drills. In Int J Sports Physiol Perform, 2018.

Pubmed ResearchGate

. Workload, fatigue and muscle damage in an u20 rugby union team over an intensified international tournament. In Int J Sports Physiol Perform, 2018.

Pubmed ResearchGate

. Supercompensation kinetics of physical qualities during a taper in team-sport athletes. In Int J Sports Physiol Perform, 2017.

Pubmed ResearchGate