Statistics

Motorsport Injuries Statistics: Motorcycle Crashes and Competitor Outcomes

Motorsport injury statistics from Swedish motorcycle racing and Silverstone competitor medical-centre studies, with crash, severity, and response data.

Motorsport injuries statistics are best understood through bounded studies rather than a single global rate. Two useful datasets cover 104 motorcycle racetrack crashes during Sweden’s 2019 road-racing season and 694 competitors presenting at Silverstone from 2009 through 2012. Together, they show how often crashes involved injury, how severity was measured, where incidents occurred, and what happened after trackside treatment.

Table of contents

How often motorcycle racetrack crashes caused injury

The Swedish observational study recorded 104 motorcycle crashes at a racetrack during the 2019 road-racing season, from May 1 through September 17. Riders were considered injured in 30 crashes, or 29% of the 104-crash cohort. The study therefore describes injury occurrence among recorded crashes, not the risk faced by every rider or every lap.

Of the 104 crashes, 25, or 24%, produced injuries with an Injury Severity Score (ISS) from 1 to 14. Five crashes, or 5%, produced major trauma, defined in the study as an ISS above 15. Sixteen riders, or 15% of the full crash cohort, were referred to hospital as trauma patients.

No rider in this 104-crash cohort was reported dead within 30 days. That finding applies only to the observed Swedish crashes and follow-up period; it is not a mortality rate for motorcycle racing generally.

The riders represented a broad age range. Ages ran from 14 to 64 years, with a mean age of 38 and a standard deviation of 14. The sample was 93% male, or 97 riders, and 7% female, or 7 riders. Racing accounted for 42 crashes, or 40%, while practice runs accounted for 62, or 60%.

The source for these findings is “Motorcycle accident on a racetrack: an observational study”, covering the 2019 road-racing season.

Injury severity and hospital outcomes

The hospital-referred group provides more detail than the overall injury count. Among 16 hospital-referred riders, the mean ISS was 8, with a range from 1 to 21 and a standard deviation of 6. The mean New Injury Severity Score (NISS) was 10, ranging from 1 to 29, with a standard deviation of 8.1.

ISS and NISS are not interchangeable measures. The study reports both, and their different averages and ranges should be retained rather than combined into one score. The five riders classified as having major trauma represent 5% of all 104 recorded crashes, while the 16 hospital referrals represent 15% of that same cohort.

The timing of initial vital signs is another important part of the Swedish results. The first documented vital signs appeared between 2 and 58 minutes after a crash. The mean delay was 15 minutes, with a standard deviation of 18 minutes. Vital signs were recorded within 3 minutes in 35 crashes, or 34%; within 5 minutes in 47 crashes, or 45%; and within 10 minutes in 78 crashes, or 75%.

Swedish racetrack measureResultScope
Recorded motorcycle crashes1042019 road-racing season
Crashes with injured riders30 (29%)All recorded crashes
Crashes with ISS 1–14 injuries25 (24%)All recorded crashes
Major trauma, ISS above 155 (5%)All recorded crashes
Trauma hospital referrals16 (15%)All recorded crashes
Deaths reported within 30 days0All recorded crashes

These figures come from the same FIA-published observational study. Because the study counts recorded crashes and uses documented clinical information, missing records and the study’s definitions matter when interpreting comparisons.

Crash types, speeds, and early indicators

Lowsiders were the most common recorded crash type in the Swedish racetrack study: 67 crashes, or 68%. Highsiders accounted for 20 crashes, or 20%. Collisions with other motorcycles accounted for 12 crashes, or 12%. The source notes that crash type was missing for five cases, so these categories should not be treated as a complete classification of every crash.

Recorded or estimated crash speeds ranged from 50 km/h to above 180 km/h. The mean was 92 km/h, with a standard deviation of 24. Actual rider-stated speed was available for 80 crashes, while speed was estimated for 24. That distinction is important: the mean combines stated and estimated speeds, and the source does not present the estimate group as equivalent to the stated-speed group.

The study setting could reach about 200 km/h, described by the researchers as contextual upper-range racetrack speed. This is a feature of the setting, not a claim that every crash occurred near 200 km/h. Similarly, the mean of 92 km/h describes the observed crash-speed data and should not be read as a universal motorcycle-racing speed.

The timing data suggests why response intervals belong beside injury totals. The earliest documented vital signs were available within 3 minutes in 35 crashes and within 10 minutes in 78 crashes. However, the full range extended to 58 minutes, and the mean delay of 15 minutes was accompanied by a standard deviation of 18. The figures describe documentation timing, not necessarily the exact instant that care began.

Who was represented at Silverstone

The Silverstone research covers a different population and should be kept separate from the Swedish crash cohort. The initial review assessed 10,004 Medical Centre patients from 2005 through 2012. Spectators made up 4,673 patients, or 46%, while competitors made up 2,578, or 26%.

The full competitor study then assessed 694 competitors during 2009–2012, representing 31 different events or activities. Competitive car events contributed 492 competitors, or 71.2% of the competitor dataset. Competitive motorcycle events contributed 153, or 22.1%; mixed car-or-motorcycle events contributed 41, or 5.9%; and moto-cross contributed 6, or 0.87%.

Competitor ages ranged from 8 to 98 years, and the mean age at presentation was 35.7 years. The unusually broad age range reinforces that this was a medical-centre presentation study across mixed competitive activities, rather than a dataset restricted to professional motorcycle racers.

Silverstone competitor groupNumberShare of 694
Competitive car events49271.2%
Competitive motorcycle events15322.1%
Mixed car-or-motorcycle events415.9%
Moto-cross60.87%

The source is “Keeping competitors safe: A four-year study”, covering Silverstone competitor presentations from 2009 through 2012. Its percentages use the competitor dataset and should not be applied to the 10,004-patient initial review without preserving the different denominator.

Where and why incidents happened

Among identifiable Silverstone incident locations, Copse was the most common, with 101 competitors, or 16%. Becketts was second, with 74 competitors, or 11%. These are location counts within the study’s competitor presentations, not measurements of the probability that a lap at either corner would result in injury.

The study recorded 160 contacts with trackside preventative measures. Contact with a wall accounted for 61, or 38%; contact with a barrier accounted for 39, or 24%; contact with a tyre wall accounted for 24, or 15%; and contact with a gravel trap accounted for 20, or 12.5%.

Vehicle counts were available for 121 incidents. Two vehicles were involved in 93, or 77%, while multiple vehicles were involved in 14, or 12%. Because the study reports vehicle-count data for 121 incidents, these percentages should not be silently expanded to all competitor presentations.

The most frequent recorded incident reason was loss of control, at 44 of 220 incidents, or 20%. Contact with a competitor or barrier was recorded in 41 incidents, or 19%. Spinning accounted for 35, or 16%; falling accounted for 27, or 12%; and being collected by a spinning vehicle accounted for 27, or 12%.

The different denominators in this section matter. Location, trackside contact, vehicle count, and incident reason were not all recorded for the same number of cases. The results are therefore descriptive indicators of what appeared in the Silverstone records, not a single ranked risk model.

Protective equipment and on-scene response

Helmet use was documented for 495 Silverstone competitors and was present in 100% of those records. Among 112 examined helmets, 54, or 48%, had no damage; 27, or 24%, had minor damage; and 9, or 8%, had severe damage. The helmet-damage categories cover the examined-helmet records reported by the source, not all 694 competitors.

Other protective-equipment records were also incomplete. HANS use was confirmed for 193 of 369 competitors, or 52%, and refuted for 173, or 47%. Back protectors were used by 120 of 330 competitors, or 36%. Protective clothing was used by 458 of 471 competitors, or 97%.

Self-extrication was the retrieval method for 129 of 141 competitors with recorded retrieval data, or 91%. Normal consciousness at the scene was recorded for 264 of 273 competitors, or 97%. Among the 11 competitors with a recorded unconsciousness duration, 7, or 64%, were unconscious for 1–2 minutes; 2, or 18%, for 2–3 minutes; and 2, or 18%, for more than five minutes.

The final destination was back to the event for 498 of 613 competitors, or 81%. Hospital referral was the final destination for 74, or 12%. The study recorded 0 deaths among Silverstone competitors. Of 34 competitors with recorded transport mode, 15, or 44%, used an ambulance; 10, or 29%, used their own transport; and 9, or 26%, used a helicopter.

Together, these results show why a motorsport injury statistic needs its denominator and measurement period beside it. The Swedish study measures outcomes after 104 motorcycle crashes in one 2019 season. The Silverstone study measures medical-centre presentations among mixed competitive events from 2009–2012. Both provide useful evidence about injury severity, response, equipment, and destination, but neither is a global injury rate for motorsport.

Written by

nitrosheriff.com Editorial Team

Editorial team

nitrosheriff.com publishes practical how-to guides and educational articles with clear steps and useful context.