Peripheral Vision in Sport: Can You Train It? What 44 Studies Say

In brief. Across 44 studies, expert athletes stand out less by a wider visual field than by the use they make of their peripheral vision in action. Reactive light programs and modulated lighting mostly improve reaction times on tests close to the training; none of the trials analyzed measures the match. Updated November 3, 2026.

Hello to you, the movement professional,

Twenty-five expert Australian rules football players and twenty-three novices took the same first test, a perception-only task that measured how far their peripheral field extends. The novices got the best score. Then came two variants of a no-look pass to a partner popping up in the far periphery, and the ranking flipped: the experts responded to a partner farther from their line of gaze, and more accurately (Panchuk and Maloney, 2022).

Your midfielder receives with his back to the play, weight on the front foot before pivoting, and an opponent enters from the side: what he picks up out of the corner of his eye counts as much as what he fixates. In these players, the advantage showed in what the movement did with the periphery, and the width of the field measured outside the game did not predict it. Reactive lights and modulated lighting are nevertheless often presented as a way to widen or speed up the periphery. What is left of that idea, studies in hand?

Peripheral vision: what it is for in the athlete

The fovea, the small central pit of the retina where the cones are most tightly packed, covers only a few degrees: this is where detail is read. Beyond it, resolution drops but sensitivity to motion remains, and the information that guides the movement passes largely through the dorsal stream of vision, the "how" pathway more than the "what."

The framework of Klostermann et al. (2019) sorts the uses by task: to aim far and precisely, a stable fixation helps; as soon as several sources of information matter at once, the periphery takes over, the gaze sometimes resting in the empty space between them. The review by Vater et al. (2022), 60 articles on real tasks, adds to this the monitoring of the environment and the comparison between the position of the body and that of objects, warning that the eye tracker alone does not say what the periphery has picked up.

In central defenders in 3-on-3, the gaze serves either as a pivot, returning to the direct opponent between two saccades toward the other players, or as an anchor, placed on that opponent while the periphery monitors the rest, depending on the position of the ball and that of the direct opponent (Vater et al., 2019).

Experts and novices: peripheral vision plays out in action

Measured outside action, the periphery separates levels poorly: neither the first team and the reserve team in university American football, nor futsal players and non-athletes, and Panchuk's novices dominate the perception-only test. Put at the service of a movement, it counts for more. In expert volleyball players, fovea and periphery together predict the attack better than either alone; in soccer players, restricting the field lengthens the turn of the shuttle sprint. The link Ivosevic and Stöckel found between a wider field and fast decisions remains a correlation, which does not say whether this field can be trained.

The blur experiments point the same way: when the periphery is blurred, expert basketball players keep their advantage and elite boxers keep their performance, and their gaze reorganizes before the result drops. The review by Limballe et al. (2021) concludes that blur mostly helps novices, particularly when applied to the periphery, and that experts are little sensitive to it. If the expert is recognized by use more than by field width, what can programs that train the reaction to a light change?

Helmets, visors and masks: when equipment reduces the periphery

Before trying to widen the periphery, look at what reduces it. In 25 university American football players, the helmet slows the reaction to peripheral stimuli; the visor adds only a weak, non-significant effect (Miller et al., 2019). A more reinforced facemask and a tinted visor worsen the loss in the outer and lower areas of the field (Ballmann et al., 2021, 14 players), and the helmet degrades a reactive agility task on light sensors (Ballmann and Rogers, 2024, 16 players). The cricket helmet compliant with the new regulation mostly reduces the upper part of the field: 66.1 points seen out of 76, against 74.8 with the old model (Wilkins et al., 2019, ten participants). In 33 young hockey players, a face mask worn during the COVID-19 period moves the detection threshold of a light placed on the ground away from the skates, from 11.4 to 20.3 degrees, which might force them to lower the head to see the puck according to the authors' model (Critelli et al., 2021).

Effort itself might play a role: Ando (2013) puts forward that peripheral perception degrades during intense exercise, in connection with a drop in brain oxygenation, a hypothesis he backs with laboratory data, without measurement in a match.

Reactive lights and modulated lighting: what the trials changed

Measured with the tool used for training, or with a test that resembles it, progress appears: manual reaction time in 412 players with no control group, lower-limb reactions in young basketball players, reactive dribbling against a control. In the youngest, growth blurs the reading: in 15 tennis players aged 7 to 12, the authors first attribute the change in motor reaction time to it.

The longest trial does no better than the control. Thirty-eight soccer players aged 10 to 15 drawn at random, assessors who did not know the groups, six months of light sensors added before training: the gap with the control is significant neither for simple reaction time (p = 0.103) nor for complex (p = 0.949). The authors conclude that the program does not seem to add anything to classic soccer training.

Under modulated lighting, in 24 professionals, anticipation, the measure closest to the game, does not move; two of the authors of this trial are linked to the company that markets the lighting, one as an employee, the other as a shareholder. And Schumacher's trial improves a peripheral reaction time on a computer without any light, with twenty weekly minutes of a soccer task coupled with juggling. Everywhere, the gain shows on a test, which obliges us to look at what that test really measures.

Measuring peripheral vision: reliability, familiarization and test effect

A light wall measures a reaction time, and that time moves as soon as the test is repeated. In 42 active young adults tested six times, the reliability of visual reaction time is good (ICC 0.84), that of motor time only fair (0.63); one familiarization trial is needed for choice time, three for reactive tasks, and scores progress from trial to trial (Wells et al., 2014). On a computerized test, in 21 athletes, repeating the test improves two of the six scores by itself (Schumacher et al., 2019); a battery in movement with lights holds a medium to excellent reliability in 13 active adults (Wilke et al., 2020). Any before-after gain without a control group therefore inherits a share of learning of the test.

The review by Vater and Strasburger (2021) goes further: across 93 studies devoted to the five most published peripheral vision tools, none verifies by eye tracking that the athlete really uses his periphery. The authors classify the tools according to what they probably train (monitoring, like multiple object tracking, reaction time or peripheral preview), expect better transfer from those that require a motor response, and find no link with the periphery for the model of stroboscopic glasses analyzed.

From the light panel to the field: what transfers, what stays on the test

Transfer plays out in two steps. The first links the tool to the movement: in 44 university soccer players, the time on a 20-light test has only a weak relation with reactive agility against a flesh-and-blood tester (r greater than 0.4 according to the abstract). For the authors, responding to a human is not responding to a light, and reaction to light alone might not be enough to transfer (Broodryk et al., 2025). The second links the test to the match, and no trial cited crosses it: the closest to the game remains the reactive dribbling of Hassan's basketball players, on a field test.

Same caution for injuries. In 76 university American football players, a slow visuomotor reaction time before the season goes with a higher injury risk (odds ratio 2.30, 90% confidence interval 1.05 to 5.06), and the 15 slow players trained for six weeks progress on this same test (Wilkerson et al., 2017). In 488 adolescents, a slower visuospatial orientation goes with a 2.62 times higher risk of lower-limb injury during the season (Avedesian et al., 2022). Neither of these two works tests whether training the reaction reduces the number of injuries. The only one to compare trained and untrained players, without a random draw, counts 4 injured out of 10 against 10 out of 16, a gap its authors judge to show no strong association (Wilkerson et al., 2025, 26 university soccer players).

What remains is a plausible hypothesis, not demonstrated, which Broodryk and colleagues as well as Vater and Strasburger each formulate in their own way: the periphery is more likely to progress usefully if it is trained coupled with the action it serves. This is the logic of perception-action coupling and of representative design. Far transfer, from the light panel to reading the game in a match, has been measured by no trial.

Links between the studies

Three reservations weigh on this map. Christian Vater co-signs five of the works cited, the two Badau studies, those of Hassan and those of Wilkerson each share their first author, and the three studies on the American football helmet come from the same group (Miller, Ballmann and Rogers): their agreement is not worth an independent replication. The clearest effects come from the trials whose test most resembles the training. To this is added, in two trials, a declared link between an author and the provider of the tool studied (Rodrigues 2025, Wilkerson 2025).

Established, debated, extrapolated: sorting peripheral vision

Established, on small samples: experts exploit the periphery better in their action, without necessarily a wider field at rest; helmets and visors reduce the periphery; reactive lights improve the tests that resemble the training. Debated: the share of test learning in the gains without a control, the value of peripheral blur (a single video trial), the link between slow reaction and injuries. Extrapolation: that a light program makes you read the game better or reduces injuries. Nobody can promise you that a player who is faster on a light wall will see the unmarked partner sooner.

A team-randomized trial would be enough to put this extrapolation to the test, with a control receiving the same volume of soccer without lights, measures outside the tool (agility against a real opponent, decisions in small-sided games) and a two-month retention: if the lights group does no better, the idea that lights train a periphery useful to the game no longer holds.

Before the lights, an assessment with the ophthalmologist

If your athlete reports double vision, persistent blur, headaches on effort or dizziness, visual training waits. He first consults an ophthalmologist, then an orthoptist in France, or an optometrist in Switzerland or the United States. LabO RNP is neither medical nor paramedical, and is added as a complement to a care pathway, never in its place. LabO RNP works with optometrists; the curriculum was built with them.

What the athlete picks up out of the corner of the eye, in the sensorimotor loop

For LabO RNP, the eyes remain a gateway. What we teach movement professionals are the sensory aspects of movement and the whole sensorimotor loop: how what the athlete perceives organizes what he does. The periphery gives a clear picture of it, as it situates the body among objects and players and takes part in postural control as well as in the turn of a sprint. To go further: scanning in soccer, oculomotor exercises in the warm-up and the map of the evidence in sports vision.

Coaches' questions about peripheral vision

Can you train your peripheral vision?

Some measures move: peripheral reaction time of young soccer players after eight sessions on the field (Schumacher et al., 2020), peripheral identification accuracy of professionals after six weeks of modulated lighting (Rodrigues et al., 2025). These are test gains; no trial shows that they change the reading of the game in a match.

Do reactive lights improve performance in a match?

No trial has measured it. The longest controlled trial, six months in 38 young soccer players, finds no difference with the control on reaction times (Theofilou et al., 2022), and the time on a light test poorly predicts reactive agility against a live tester (Broodryk et al., 2025).

Do expert athletes have a wider visual field?

Not necessarily. In Australian rules football, novices beat experts on the perception-only test, then the experts regain the advantage as soon as they have to pass without looking toward a partner in the periphery (Panchuk and Maloney, 2022). Measured at rest, the field and the peripheral response do not separate levels either in university American football or in futsal (Deshaies and Pargman, 1976; Nascimento et al., 2021).

Does the helmet hinder peripheral vision?

Yes, in the studies available: in American football players, it slows the reaction to peripheral stimuli, and a reinforced facemask or a tinted visor accentuate the loss (Miller et al., 2019; Ballmann et al., 2021). In cricket, the helmet compliant with the new regulation mostly reduces the top of the field (Wilkins et al., 2019), and in young hockey players a face mask hides the bottom of the field (Critelli et al., 2021).

Do you need a visual assessment before training peripheral vision?

Yes, as soon as double vision, persistent blur, headaches on effort or dizziness appear: the ophthalmologist first, then the orthoptist or the optometrist. LabO RNP is neither medical nor paramedical and never replaces a care pathway.

An expert's periphery is recognized by what he does with it, and it is on what he does with it, in play, that any visual training must ultimately be judged.

👉 I want to understand what my athlete picks up out of the corner of the eye before adding lights.

By the LabO RNP team

Method. Inventory of November 3, 2026 drawn from the consolidated LabO RNP inventory of studies on athletes' vision (1,275 studies, PubMed and vault notes): 74 references examined, namely the 69 classified "peripheral vision" and 5 from other families (lights, injuries, blur, tools). 44 studies are analyzed here. Set aside: 3 references without a PubMed identifier, one trial whose abstract describes no peripheral content and whose registry shows a discrepancy, and 26 expertise studies that are redundant or remote from the sporting use of the periphery. Concussion is outside this article. Each PMID and each DOI was verified on the PubMed record on November 3, 2026.

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