Incidence of Injury for Professional Soccer Players in the United States: A 6-Year Prospective Study of Major League Soccer

Abstract

Background:

Despite an abundance of injury research focusing on European professional soccer athletes, there are limited injury data on professional soccer players in the United States.

Purpose:

To describe the epidemiology of injury across multiple years in Major League Soccer (MLS) players.

Study Design:

Descriptive epidemiology study.

Methods:

A web-based health management platform was used to prospectively collect injury data from all MLS teams between 2014 and 2019. An injury was defined as an incident that required medical attention and was recorded into the health management platform anytime over the course of the 2014-2019 seasons. Injuries and exposure data were recorded in training and match settings to calculate injury incidence.

Results:

A total of 9713 injuries were recorded between 2014 and 2019. A mean 1.1 injuries per year per player were identified, with midfielders sustaining the largest number of injuries. The most common injuries were hamstring strains (12.3%), ankle sprains (8.5%), and adductor strains (7.6%). The mean time missed per injury was 15.8 days, with 44.2% of injuries resulting in no days missed. Overall injury incidence was 8.7 per 1000 hours of exposure, declining over the course of the investigation, with a 4.1-times greater mean incidence during matches (14.0/1000 h) than training (3.4/1000 h).

Conclusion:

Between 2014 and 2019, the most commonly reported injuries in MLS players were hamstring strains, ankle sprains, and adductor strains. Injury incidence during matches was 4.1 times greater when compared with training, while overall injury incidence was found to decline during the course of the study period.

With >3 billion fans and 270 million athletes participating across 200 countries globally, soccer represents the world’s most popular sport. ¹⁸ As a complex contact sport, soccer is associated with high injury rates, with epidemiology studies indicating that professional soccer players sustain 4 to 35 injuries per 1000 hours of exposure. ^†† Owing to increasing speed and intensity, injuries have been reported to occur at a higher incidence in professional soccer players than amateur athletes. ^2,12,36 Prior investigations have indicated that injuries occur more frequently during matches than training, ^12,15,26 with muscle injuries representing up to 37% of all time-loss injuries in professional male soccer players. ^17,37 Moreover, because of the unique demands of the game, the incidence of lower extremity injuries far exceeds the incidence of injuries to the upper extremities in professional players. ^13,15,22,37

The majority of studies related to injury epidemiology in professional soccer players have focused on athletes participating in European professional leagues, ^‡‡ with limited studies of athletes participating professionally in Africa, ⁴ Asia, ^2,11 and Australia. ²⁰ Moreover, several epidemiology studies have focused on injury incidence over the course of a single season or specific tournaments, following select teams within a league or including only match competition over multiple seasons. As such, no current investigation has analyzed injury incidence for all teams within the same league over multiple seasons. In the current study, we examined true exposure and injury incidence data among players in Major League Soccer (MLS).

Since its inception in 1996, MLS has grown to 26 teams, with plans for expansion in the coming years. The growth of MLS has outpaced studies describing its injury patterns, with just 1 prior study ²⁹ documenting injury incidence from its inaugural season in 1996. In response, MLS established a league-wide injury database in 2010 to prospectively collect injury data with the aim of tracking injury incidence as a means of improving injury prevention program education and implementation. The purpose of the present study was to describe the epidemiology of the most commonly reported injuries in professional soccer players participating in MLS between 2014 and 2019. On the basis of prior literature, we hypothesized a high incidence of injuries in players, with lower extremity injuries being the most typical. ^17,38,39

Methods

Study Population

Before study initiation, research approval was obtained from the Major League Soccer Medical Assessment Research Committee and the Rush University Institutional Review Board. Data between 2014 and 2019 were reviewed from Healthe Athlete (Cerner Corp): a secure web-based athlete health management platform that combines injury management, personal health records, and advanced reporting to efficiently manage athlete health and health-related data. The Healthe Athlete database comprises injury data from all MLS teams, including training and match data. Per MLS guidelines, all player injury data must be prospectively entered into the Healthe Athlete database by MLS team athletic trainers during the preseason, regular season, and postseason.

Injury was defined as an incident that required medical attention and was recorded into the health management platform anytime over the course of the 2014-2019 preseason, regular season, or postseason. Recorded data were as follows: player position (forward, midfielder, defender, goalkeeper), injury date based on year, injury setting (conditioning, match, team training, or sanctioned training), and body region of injury (spine, head/neck, upper extremity, thorax, abdomen, pelvis, hip, thigh, knee, leg, ankle, or foot), as well as total days, matches, and training sessions missed because of injury. Data were excluded for players participating in unsanctioned activities, players for whom injury setting was not recorded, players aged <17 years, and players who sustained injuries while not participating as a signed member of an MLS team (Figure 1). Furthermore, injuries resulting in >365 days missed were excluded to avoid recording inconsistencies and outliers.

Figure 1.

Flowchart of Major League Soccer athletes meeting inclusion and exclusion criteria.

Statistical Analysis

The recorded data in the Healthe Athlete database between 2014 and 2019 were analyzed. Data are presented as means with associated ranges. The total number of recorded injuries over the study period, as well injuries recorded during each year, were evaluated by injury setting (conditioning, match, training, sanctioned activity) and body region (spine, head/neck, upper extremity, thorax, abdomen, pelvis, hip, thigh, knee, leg, ankle, and foot). The top 5 injuries within each body region were then analyzed by year of injury and player position, as well as total number of days, matches, and training sessions missed because of injury. Injury incidence was calculated as the number of injuries per 1000 hours of exposure for the number of recorded injuries overall and during each year; it was also recorded for matches and training sessions. The formulas used for exposure rate and incidence were calculated using the total number of matches and training sessions performed each year:

$$\text{Exposure rate per player (hours)}=\frac{\text{(Total minutes of match time in phase}+\text{Total minutes of training time in phase)}}{\text{60 (min/hr}.)}.\text{Incidence rate, per 1,000 hours}\hspace{0.17em}=\frac{(\text{Number of injuries in phase})}{(\text{Total Exposure Hours for All Participating }Signed Athletes})\times 10,000$$

Results

Injury and Player Characteristics

A total of 11,614 injuries were recorded between 2014 and 2019. After applying exclusion criteria, we documented 9713 injuries in 1472 individual players. The mean number of recorded injuries per athlete was 1.1 per year (range, 1-55 injuries). Athlete age at the time of injury was 27.0 ± 4.3 years (mean ± SD; range, 17.0-42.2 years).

Midfielders represented the most commonly injured position, representing 37.6% (n = 3650 injuries) of injuries, followed by defenders (34.1%; n = 3314), forwards (17.8%; n = 1731), and goalkeepers (10.5%; n = 1018). Per injury, players missed on average 15.8 days (range, 0-351 days), 1.3 games (range, 0-34 games), and 4.3 practices (range, 0-154 practices). An overall 45.0% (n = 4371) of injuries resulted in no days missed. The majority of injuries occurred during matches (51.1%) and training (46.6%) (Table 1).

Table 1.

Injuries by Setting, Overall, and During Each MLS Season, 2014-2019 ^a

	Injuries, n (%)
Injury Setting	Overall	2014	2015	2016	2017	2018	2019
Conditioning	62 (0.7)	13	21	11	7	5	5
Match	4968 (51.1)	886	899	838	778	786	781
Team training	4524 (46.6)	805	849	712	714	722	722
Sanctioned training	159 (1.6)	20	43	54	20	11	11

^a MLS, Major League Soccer.

Injury Type

The most typically reported injuries based on body region across all 6 years were to the thigh (30.8% of all injuries), followed by the knee (13.5%) and ankle (12.5%) (Table 2). The 5 most common injuries were hamstring strains (12.3% of all injuries), ankle sprains (8.5%), adductor strains (7.6%), rectus strains (5.1%), and foot contusions (3.3%) (Table 3). Of the top 60 injuries by body region, leg fractures led to the largest number of mean days (120.9 days), matches (11.6 matches), and training sessions (30.9 training sessions) missed.

Table 2.

Injuries by Body Region, Overall, and During Each MLS Season, 2014-2019 ^a

	Injuries, n (%)
Body Region	Overall	2014	2015	2016	2017	2018	2019
Spine	352 (3.6)	85	83	77	57	72	62
Head/neck	707 (7.3)	117	116	128	131	108	127
Upper extremity	773 (8.0)	130	139	126	149	122	117
Thorax	112 (1.2)	20	20	29	12	22	16
Abdomen	90 (0.9)	19	16	21	13	13	8
Pelvis	241 (2.5)	41	34	29	27	33	78
Hip	373 (3.8)	83	84	61	51	59	45
Thigh	2987 (30.8)	539	588	502	412	504	462
Knee	1316 (13.5)	226	265	250	211	197	187
Leg	704 (7.2)	55	70	70	123	72	92
Ankle	1210 (12.5)	241	231	178	191	195	194
Foot	848 (8.7)	168	166	144	142	127	131
Total	9713	1724	1812	1615	1519	1524	1519

^a MLS, Major League Soccer.

Table 3.

Injuries Based on Type and Player Position ^a

	No. of Injuries					Injury-Based Absence, Mean (Range), n
Injury Type	Overall	Forward	Midfielder	Defender	Goalkeeper	Days Missed	Matches Missed	Trainings Missed
Spine
Lumbar soreness/tightness	49	12	8	20	9	5.8 (0-41)	0.5 (0-6)	1.1 (0-11)
Lumbar spasm	48	12	16	11	9	4.2 (0-20)	0.5 (0-7)	1.3 (0-10)
Lumbar pain/irritation	42	5	17	10	10	9.4 (0-69)	0.9 (0-7)	2.1 (0-24)
Cervical strain	36	6	8	17	5	4.4 (0-46)	1.1 (0-3)	4.7 (0-138)
Cervical spasm	26	8	9	6	3	2.4 (0-36)	0.2 (0-4)	0.8 (0-14)
Head/neck
Concussion	310	66	43	148	53	25.9 (0-332)	2.3 (0-34)	8.5 (0-150)
Facial laceration	79	13	24	38	4	2.9 (0-34)	0.05 (0-2)	0.16 (0-4)
Tooth avulsion/fracture	56	5	15	28	8	0.3 (0-8)	0.02 (0-1)	0.9 (0-2)
Eye abrasion/laceration	47	7	13	21	6	1 (0-12)	0	0.09 (0-2)
Head abrasion/laceration	40	0	39	1	0	1 (0-27)	0	0.1 (0-1)
Upper extremity
Shoulder sprain/strain	136	21	31	46	38	12.0 (0-331)	0.6 (0-23)	1.7 (0-37)
Wrist sprain	69	11	15	17	26	4.6 (0-86)	0.03 (0-1)	0.06 (0-3)
Digital sprain	64	3	15	16	30	0.6 (0-34)	0.05 (0-2)	0.1 (0-4)
Thumb sprain	51	2	14	20	15	7.2 (0-196)	0.3 (0-5)	0.7 (0-13)
Digit dislocation	42	3	7	9	23	3.7 (0-111)	0.4 (0-14)	1.4 (0-50)
Thorax
Rib contusion	64	17	1	25	4	2.2 (0-24)	0.15 (0-2)	0.7 (0-9)
Rib fracture-dislocation	14	0	14	0	0	8.4 (0-24)	0.9 (0-3)	1.9 (0-8)
Thoracic muscle spasm	10	4	2	3	1	18.6 (0-93)	0	1.2 (0-5)
Thoracic contusion	6	0	3	2	1	0.8 (0-5)	0	0
Pneumothorax	4	1	2	1	0	61.3 (8-158)	3.8 (0-7)	11.5 (0-26)
Abdomen
Abdominal strain	64	10	31	16	7	25.7 (0-185)	1.9 (0-17)	5.7 (0-53)
Abdominal hernia	10	3	4	3	0	68 (2-196)	7.9 (0-22)	26.9 (0-80)
Abdominal soreness/tightness	7	1	2	3	1	17.7 (0-78)	2.9 (0-15)	9.8 (0-53)
Abdominal inflammation/irritation	6	0	2	3	1	6.2 (0-31)	0	0.6 (0-2)
Abdominal contusion	4	0	2	2	0	12.3 (0-32)	1.5 (0-3)	1.3 (0-5)
Pelvis
Athletic pubalgia	57	13	18	24	2	32.7 (0-201)	2.1 (0-14)	7.4 (0-48)
Pelvic strain	47	7	20	17	3	25.6 (0-155)	1.3 (0-16)	5.8 (0-92)
Pelvis inflammation/irritation	42	12	19	10	1	23.1 (0-262)	2.3 (0-34)	4.4 (0-126)
Pelvic soreness/tightness	39	5	21	6	7	2.2 (0-20)	0.3 (0-3)	1.6 (0-26)
Pelvic contusion	24	6	6	10	2	4.3 (0-18)	0.17 (0-1)	0.7 (0-8)
Hip
Hip strain	129	23	56	36	14	13.2 (0-223)	0.7 (0-7)	2.0 (0-22)
Impingement	70	13	36	16	5	16.4 (0-271)	0.8 (0-28)	2.8 (0-82)
Hip soreness/tightness	70	8	29	18	15	6.4 (0-52)	0.7 (0-8)	1.6 (0-26)
Hip contusion	66	12	12	39	3	6.2 (0-91)	0.4 (0-8)	1.6 (0-40)
Hip inflammation/irritation	32	3	14	13	2	7.6 (0-38)	0.8 (0-7)	2.5 (0-23)
Thigh
Hamstring strain	1190	258	396	463	73	18.7 (0-167)	1.9 (0-19)	5.9 (0-59)
Adductor strain	740	113	330	245	52	12.3 (0-339)	0.9 (0-19)	3.2 (0-67)
Quadriceps strain	491	87	211	150	43	20.8 (0-288)	2.0 (0-33)	6.2 (0-114)
Rectus contusion	222	39	52	123	8	4.7 (0-113)	0.3 (0-12)	1.2 (0-34)
Hamstring inflammation/irritation	110	26	46	30	8	8.2 (0-12)	0.7 (0-12)	2.1 (0-38)
Knee
MCL strain	267	48	102	105	12	22.6 (0-227)	2.2 (0-26)	7.1 (0-92)
Patellar tendinitis	174	24	99	27	24	5.1 (0-191)	0.4 (0-10)	1.3 (0-28)
Contusion	144	20	53	67	4	5.0 (0-66)	0.5 (0-7)	1.6 (0-31)
Meniscal injury	104	13	46	35	10	59.3 (0-351)	4 (0-34)	13.4 (0-154)
Soreness/tightness	64	6	30	18	10	9.1 (0-327)	0.6 (0-24)	1.0 (0-13)
Leg
Strain	255	48	110	77	20	19.8 (0-146)	2.1 (0-17)	6.7 (0-66)
Contusion	223	50	50	107	16	3.9 (0-168)	0.2 (0-7)	0.7 (0-11)
Soreness/tightness	96	15	52	18	11	5.9 (0-62)	0.4 (0-7)	1.2 (0-19)
Fracture	19	0	8	10	1	120.9 (22-342)	11.6 (0-34)	30.9 (0-140)
Spasm	17	4	6	6	1	8.4 (0-89)	0.3 (0-4)	1 (0-13)
Ankle
Ankle sprain	821	159	302	307	53	15.5 (0-348)	1.1 (0-34)	3.6 (0-149)
Ankle contusion	152	32	39	70	11	10.7 (0-201)	1.0 (0-18)	2.7 (0-86)
Achilles tendinitis	86	11	56	12	7	12.3 (0-127)	0.8 (0-17)	3.1 (0-54)
Ankle impingement	41	6	18	13	4	12.9 (0-83)	1.3 (0-11)	4.5 (0-34)
Ankle tendinitis	39	9	20	8	2	12.8 (0-158)	1.9 (0-31)	5.8 (0-84)
Foot
Contusion	316	76	80	140	20	5.3 (0-225)	0.4 (0-14)	1.2 (0-44)
Foot strain	96	23	29	36	8	13 (0-287)	1.3 (0-20)	3.8 (0-80)
Plantar fasciitis	70	9	36	11	14	13.2 (0-287)	0.4 (0-6)	1.3 (0-28)
Toe sprain	52	11	20	18	3	17.2 (0-213)	1.1 (0-22)	3.3 (0-57)
Toe contusion	46	8	12	25	1	3.9 (0-35)	0.3 (0-5)	1.0 (0-14)

^a MCL, medial collateral ligament.

Injury Incidence

Across the study period, players had a total exposure time of 1,107,829 hours during matches and trainings. The overall injury incidence was 8.7 injuries per 1000 hours of exposure during matches and trainings, which was 4.1 times greater during matches than training (Table 4).

Table 4.

Injury Incidence Based on Season ^a

	MLS, n			Injury Incidence per 1000 h
Season	Teams	Matches	Trainings	Overall b	Matches	Training
2014	19	655	3116	9.9	15.5	3.9
2015	20	691	3009	10.7	15.2	4.4
2016	20	691	3193	9.0	14.6	3.2
2017	22	759	3310	8.2	13.5	3.1
2018	23	793	3465	7.8	13.3	3.0
2019	24	829	3620	7.5	13.0	2.9
Cumulative		4418	19,713	8.7	14.0	3.4

^a MLS, Major League Soccer.

^b Including matches and trainings.

Discussion

The primary findings of the study were that between 2014 and 2019, a total of 9713 unique injuries were recorded in MLS players, with each athlete sustaining a mean of 1.1 injuries per year. Midfielders represented the largest number of injuries, followed by defenders. The most often reported injuries based on body region were to the thigh, knee, and ankle, with hamstring strains, ankle sprains, and adductor strains the most commonly reported injuries. Injury incidence during matches was 4.1 times greater as compared with training, while the annual injury incidence declined over the course of the study period.

The overall injury incidence rate of 8.7/1000 h between 2014 and 2019 in MLS players is within the range of injury incidence rates in studies ^12,15,21,25 evaluating professional European soccer players. In a study evaluating 1743 players from 27 teams across 10 European countries competing in the Union of European Football Associations Champions League between 2001 and 2012, Ekstrand et al ¹² cited an overall injury rate of 7.6/1000 h. Of note, while our study included all injuries regardless of time lost, the study by Ekstrand et al included only injuries in which time loss was recorded. In the sole other investigation reporting on injury rates in MLS players, Morgan and Oberlander ²⁹ noted an injury rate of 6.2/1000 h during the inaugural MLS season in 1996. Moreover, when prospectively analyzing injuries in professional Japanese soccer players between 1993 and 2007, Aoki et al ² indicated an injury incidence rate of 19.11 to 24.37/1000 h; however, just the injuries in which >7 days were lost were included. As such, despite the use of various methodologies, we found that MLS athletes were not at substantially higher or lower risk for injury based on overall mean injury incidence when compared with prior investigations.

Players sustained injuries most commonly during matches, occurring with an approximately 4.1-times greater incidence versus training. This finding is in agreement with multiple prior investigations similarly reporting the higher incidence of injuries during match competition. ^12,15,25 Ekstrand et al ¹³ cited a match injury rate 7 times greater than that with training (relative risk, 6.7; P < .001), while Morgan and Oberlander ²⁹ found an injury rate of 35.3/1000 h of exposure during match competition, as opposed to only 2.9/1000 h for training. Similarly, Nilsson et al ³⁰ indicated a 20-fold higher rate of head and neck injuries during match play than training, with a 78-fold higher rate of concussions. This finding is likely accounted for by the increased intensity and greater probability of contact that occur during competition than training. ²

Overall, a decline in injury incidence with each successive year of study was appreciated. Aoki et al ² similarly cited a decline in injury rates among the top-division Japanese professional soccer leagues over a 15-year study period, despite no match rule changes. This trend was also noted in the prospective cohort study by Hägglund et al, ²¹ in which the authors evaluated injury rates in elite Swedish soccer players during 2 seasons (1982 and 2001). The authors indicated an injury incidence of 8.3/1000 h in 1982 versus 7.8/1000 h in 2001. Despite a progressive increase in exposure with each successive year of study, a concurrent increase in injury incidence was not appreciated, as in our investigation. Injury identification often relies on player reporting, which may cause medical staff to restrict participation. It is possible that players increasingly underreported injuries owing to fear of such restriction. While the exact reasons behind this decline are unclear, knowledge among teams and leagues regarding injury rates from previously published studies may play a contributing role as related to emphasizing the importance of athlete safety and injury prevention. ²

The most often recorded injuries over the 6 MLS years consisted of hamstring strains, ankle sprains, and adductor strains. These injuries are consistent with the most frequent injury types identified by Ekstrand et al, ¹² who cited hamstring (12.8% of all injuries), adductor (9.2%), and ankle (6.9%) sprains as the most common injuries among the 1743 professional European soccer players. Moreover, Morgan and Oberlander ²⁹ indicated that 77% of recorded injuries (n = 197/256) involved the lower extremities during the inaugural MLS season. Several other investigations examining the epidemiology of soccer-related injuries at the professional level have similarly identified that they most commonly affect the lower extremities, citing the unique demands placed on soccer athletes. ^12,17,29 Specifically, injuries to the 4 major muscle groups of the lower extremity (adductors, hamstring, quadriceps, and calf) have been shown to account for >90% of all muscle injuries in professional soccer. ¹⁴ Hamstring injuries are typically encountered because of the high speeds at which players compete, with the demand for frequent acceleration, deceleration, and change of direction. ^14,17 The ankle is at high risk for inversion injury during running, with passing and projecting the ball, which is most often performed by striking the ball with the medial aspect of the foot and forefoot and thereby placing the ankle in a vulnerable abducted and externally rotated position. ²⁹ Meanwhile, injuries to the quadriceps musculature are prevalent because of the kicking actions. ³³ As such, injury prevention measures should continue to focus on minimizing the risk for injury occurrence as well as time lost, especially for injuries to the lower extremities.

In contrast, injuries to the upper extremity and the head and neck occur with less frequency. Our study revealed that upper extremity injury accounts for 8.0% of injuries. In an investigation of 2914 players from 57 elite European soccer teams, Ekstrand et al ¹³ found that over the course of the 2001-2011 seasons, upper extremities accounted for 3% of the total injury incidence (n = 355/11,750 injuries). The authors also reported that upper extremity injuries resulted in 23 ± 34 days lost from play, with goal keepers possessing a 5-times greater incidence of upper extremity injuries when compared with field players. Meanwhile, head and neck injuries represented 7.3% of injuries in our investigation. This is in line with previous studies ^1,30 finding that head injuries account for 2% to 22% of all injuries, with neck injuries being less frequent.

Concussions were the most often reported injury to the head and neck, while resulting in the longest time loss from competition. The high incidence of concussions has been similarly cited in prior studies ^2,19 examining professional soccer players in the Japanese and Federation Internationale de Football Association international competitions. Soccer-related concussions have been postulated to be more prevalent than historically reported, ⁶ although many concussions likely still go unreported. ^7,30 Three consensus statements on concussion in sport have been published, ^3,27,28 recommending a minimum of 5 days to proceed through a full rehabilitation protocol after symptoms have resolved. Since athletes after a concussion are at higher risk of and more susceptible to future and more severe reinjury, ⁹ proper recognition, time off from play, and rehabilitation are essential to minimize the risk of sequelae. ³⁴ As such, preventative therapies directed at injury prevention are vital to maintain athlete health and safety.

When injury rate was examined by athlete position, midfielders sustained the largest number of injuries, followed by defenders. The high injury incidence in midfielders is likely attributed to the dual offensive/defensive role that these athletes play on the field, requiring constant running with frequent change of direction and contact. Meanwhile, defenders had the largest number of head and neck injuries ³⁰ likely because of the increased contact that they experience in protecting the ball from opposing teams, initiating tackles, and engaging in duels heading the ball. While goalkeepers possessed a lower rate of injury than did field athletes, ² they have been reported to have a higher incidence of upper extremity injuries ¹³ owing to the unique demands of the position when compared with field athletes. Thus, injury-specific recommendations should be based on athlete position as a means of minimizing the risk of common injuries according to positional demands.

Limitations

This investigation was not without limitations. All injury data, including injury type, age, position, and time missed, as well as exposure times, were obtained from the records inputted in the Healthe Athlete database. As such, the reliability was dependent on accurate and timely data entry by athletic training staff from each team. Utilization of the Healthe Athlete database was limited in that it did not capture intrinsic characteristics that may have been predictive of injury, such as the role of previous injuries, athlete strength, flexibility, and race. ²³ Prior studies have shown that soccer players may be more prone to injuries during the last 15 minutes of each half secondary to athlete fatigue ^15,25 with increased game congestion ⁵ ; however, these variables were inconsistently reported and not included in the final analysis. Moreover, prior investigations have demonstrated that extrinsic factors, namely ground surface and weather conditions, are associated with injury occurrence, ^4,16,32 although these variables were also infrequently included in the database.

Data were not available for injury diagnosis based on imaging workup or for those injuries requiring surgical versus nonsurgical intervention. While match-related factors such as type, location (home vs away), and result have been shown to influence injury rates, ^8,11,23,24 these factors were not analyzed in our investigation. This investigation analyzed male professional soccer players only; therefore, the injury incidence in female professional soccer players cannot be inferred. Finally, caution must be exercised when interpreting data from our analysis against other epidemiology studies owing to the use of differing methodologies—namely, the lack of consensus regarding the definition of an injury, as well as differences in data collection among studies.

Despite these limitations, this is the first comprehensive analysis of injury in professional soccer players in MLS. This is also the first study to prospectively analyze the injury characteristics of all teams within the same league, including true incidence data for all matches and trainings over multiple years. The data entered into the health management platform since its inception have become more consistent and complete; therefore, future studies will offer a more in-depth analysis.

Conclusion

Between 2014 and 2019, the most commonly reported injuries in MLS players were hamstring strains, ankle sprains, and adductor strains. Injury incidence during matches was 4.1 times greater when compared with trainings, while overall injury incidence declined during the course of the study period. Additional studies identifying intrinsic and extrinsic risk factors for injury in MLS athletes are warranted to further injury education and preventative measures to minimize the risk of injury and time lost while maximizing player health and team performance.