Marathon Pace Prediction

Marathon Pace Prediction

Marathon Pace Prediction All marathoners, from fast to last, predict their race pace, usually by comparing shorter race times, time trials, previous marathons or “gut” feelings. But studies show that the best predictor of race performance may be submaximal performance. The importance of accurate prediction is more than a game — it can help monitor training progress, increase race confidence, provide an invaluable pacing strategy and even predict injury. Dr. Philip Maffetone Just after the 2016 U.S. Olympic potentially even break the 2-hour mark — the greatest remaining barrier in the sport since Sir Trials in Los Angeles, coach Roger Bannister broke the 4-minute mile. Alberto Salazar claimed that Galen Rupp (his star 10K runner (In the book “1:59,” I present the evidence and details for how a runner could break the two- and now marathon winner) hour marathon barrier: by improving submax had recently clocked a 20-mile performance to under 4:50 minutes per mile.) training run at a 4:52 minutes For generations, marathoners and their coaches per mile (min/mi) pace, with have pondered predictions of how fast athletes a heart rate of 150 beats per might run. Early estimations were notably based on instinct and intuition, or “gut” feelings, but minute (BPM). the results were usually the same: the runner was either thrilled to achieve success or disappointed by the results. It’s not much different today: If this is true, Rupp would be Sometimes a well-run, properly-paced race leads the clear favorite to beat the some finishers to claim it seemed too easy — that they could have had a better time, had they only East Africans at this summer’s run faster earlier in the race. However, due to Olympic Games in Rio, Brazil. the body’s physiological setup, that supposition But the normally secretive is unlikely to be accurate. Later in the text, we discuss the reasons why. Salazar rarely surrenders specifics about his athletes. Laboratory Testing However, it must be considered that when running at any given heart rate (HR), the onset of Since the 1970s, scientists have been trying to fatigue causes later miles to be slower than earlier accurately predict marathon times in runners miles. If HR remains constant, pace drops. And of all levels of talent. Methods of prediction are if pace remains constant, HR rises. Therefore, it’s included but not limited to: highly unlikely that Rupp can perform a workout where the 1st and 20th mile are run at the same • The correlation of marathon performance pace, while maintaining a constant submax HR. with maximal oxygen consumption (VO2max) is a long-standing estimate, but not a very Regardless, Salazar may have spilled the good one. proverbial beans: Speed at an aerobic submax HR is highly predictive of marathon performance. • A rather complex formula that includes the Let’s suppose that only Rupp’s 1st mile was run oxygen cost of running, VO2max, and from at 4:52 min/mi, with a submax heart rate of 150 the largest fraction of VO2max that can be BPM. This time could predict that Rupp might sustained throughout the race. not only win an Olympic medal in the marathon, but, on a fast course with cool temperatures, also • Dr. Michael Joyner, who authored the first could establish a new marathon record. He could published scientific paper addressing the 2 Marathon Pace Prediction possibility of a sub-two-hour marathon in 1991, used the following equation to predict The Aerobic System marathon times: The aerobic system is the collection of • VO2max x lactate threshold percentage x various systems and processes that intake, running efficiency = marathon time. transport, and utilize oxygen, in particular, (Joyner estimated an elite athlete could to oxidize fat for fuel. Fat provides theoretically run the marathon in 1:57:58 based the body with a stable supply of long- on this formula.) term energy that complements glucose utilization and reduces training and racing • The maximal lactate steady state (MLSS) has fatigue while conserving glycogen. also been used to predict marathon times. It is defined as the workload (MLSSw) at the highest blood lactate concentration that can be maintained over time without a continual In the marathon, about 99 percent of race energy blood lactate accumulation. Marathon average is provided by the aerobic system. Unlike shorter paces are just below this level. endurance events such as the 5k, where intensity is closer to one’s VO2max, marathoners perform For most runners, collecting this and other at lower intensities such as 80-85 percent of data required for marathon prediction requires VO2max. The intensity at which the marathon is run lengthy evaluations in a laboratory facility with must remain relatively low. As exercise intensity proper equipment and protocols. For progress increases, the percentage of energy provided by to be monitored across time, it is necessary sugar increases, while the energy provided by fat to perform regular testing. As a result, most decreases. The body’s sugar stores are far too runners — even elite athletes — do not utilize this small to provide energy for the duration of such a approach due to these and other factors such long race. To the degree that an athlete relies too as cost, availability, and often, inconvenience. much on sugar as a primary source of fuel (due As important as laboratory testing is, it may not to an untrained or dysfunctional submax aerobic be necessary: an easy and accurate test can be system), running a marathon will be an extremely performed by anyone with a heart-rate monitor. stressful, challenging — and slower — endeavor. Submax Field Testing This means that by developing maximum aerobic function — MAF — one can optimize both A common feature of all sports lasting more submax speed and race performance. In addition, than a few minutes is that higher aerobic studies show that submax tests are the best submax capacity results in higher competitive predictors of endurance performance in runners performance. In the marathon, race paces are (and for other endurance athletes, such as usually only seconds faster than submax training cyclists and race walkers, as well as for untrained paces in runners of all abilities. This means that people). Measuring submax performance can be the faster one can run while maintaining a accomplished regularly through a simple field test lower-intensity submax HR, the faster the race using a heart-rate monitor on a reasonably flat pace. (This phenomenon is applicable to all running course, such as a track. endurance sports.) philmaffetone.com 3 Both the MAF HR and MAF Test were developed MAF HR and Test by the author in the early 1980s and are described in detail on my website. Monthly, The MAF HR is a submax intensity useful measurable improvement in MAF Test scores for both training and submax testing. It (running faster at the same HR) is the most corresponds closely with physiological important measure of increasing health and laboratory measures, including: fitness in an athlete. • Aerobic threshold (Aer T). These improvements should also correspond • Maximal lactate steady state (MLSS). to improving performances (even in shorter • Fatmax (the highest level of fat endurance races). Figure 1 is an example of a oxidation, which occurs during runner’s 18-month progress of MAF Tests with submax activity). three corresponding marathons. The MAF Test is a submax evaluation that measures pace at a given HR. For example, if an athlete can run one mile in 8 minutes while maintaining 140 HR, the MAF Test result is 8 minutes per mile. (Anyone can perform an MAF Test in his or her particular sport.) Runner A's MAF Test Progression 8:38 8:25 8:18 8:09 7:44 7:40 7:43 7:23 7:12 7:02 7:01 7:02 6:55 MAF Pace 6:51 6:56 6:42 Marathon Pace 6:43 6:54 6:50 6:44 6:31 6:40 6:37 6:17 6:14 6:12 6:16 5:45 Jan-'15 Jun-'13 Jun-'14 Apr-'14 Apr-'14 Apr-'15 Sep-'14 Sep-'14 Dec-'14 Aug-'14 Aug-'14 Aug-'14 Aug-'13 Nov-'13 Mar-'15 May-'13 May-'14 May-'14 FIGURE 1. A graphical dipiction of an athlete’s 18-month MAF Test first mile progress with results of three marathons (average pace). Marathon dates are aligned with their closest MAF test. 4 Marathon Pace Prediction a mean time of 4 seconds. This corresponds well Time-Tested Results with past clinical observations. It is possible that the slightly faster marathon pace relative to Examples of elite runners comparing first MAF Test times observed by the author is due mile MAF Test times and marathon paces: in part to: • In the early 1980s when I put a heart • Differences in marathon courses (elevation monitor on Norwegian Grete Waitz, change) and weather. who would become a nine-time winner • The author’s use of physical therapies such as of the New York Marathon, she ran a biofeedback to improve the athlete’s muscle 6:05 aerobic pace, which corresponded balance and gait immediately before races (in to her then 2:32 New York marathon — most but not all cases). averaging 5:48 pace. • Well-defined dietary recommendations (particularly no refined carbohydrates and • A few years later, England’s Priscilla lower overall carbohydrate intake). Welsh developed her MAF HR pace to • Combinations of these or other factors. 6:00 minutes per mile, and ran a 2:30 marathon averaging 5:44 pace. • Not long after his 2011 Boston Marathon The Value of Prediction 2:04:58 finish, a 4:46 pace, American Ryan Hall clocked a 5:07 MAF Test Why is it important to predict marathon race mile at altitude, estimated to be sub- times? Accurate prediction has real benefits 5-minutes at sea level, which would for an individual athlete, including providing an correspond to his Boston finishing time.

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