Natural turfgrass sports fields exhibit within‐field variations due to climatic conditions, field construction, field management, and foot traffic patterns from field usage. Variations within a field could influence the playing surface predictability and require athletes to make abrupt or frequent adjustments that lead to increased ground‐derived injury occurrence. This study introduces a new methodology aimed at evaluating the potential relationship between within‐field variations of turfgrass sports field properties and ground‐derived athlete injuries. Collegiate Club Sport athletes self‐reported ground‐derived injuries over two years. Soil moisture, turfgrass quality, surface hardness, and turfgrass shear strength were quantified from their two home fields. Hot spot analysis identified significantly high (hot spots) and low (cold spots) values within the fields. Injury locations were compared to hot spot maps each month. Binomial proportion tests determined if there were differences between observed injury proportions and expected proportions. Twenty‐three ground‐derived injuries were reported overall. The observed injury proportions occurring in turfgrass quality cold spots [0.52 (95% CI 0.29–0.76)] and soil moisture hot spots [0.43 (95% CI 0.22–0.66)] was significantly higher than expected [0.20 (p < .001) and 0.21 (p < .05), respectively]. Most injuries in significant areas of turfgrass quality, soil moisture, and surface hardness were along edges of hot and cold spots. These results suggest a potential relationship between within‐field variations and ground‐derived injuries, particularly in transition areas between non‐significant and significant high and low values. Future larger‐scale studies can incorporate the reported methodology to validate this relationship and implement strategies that reduce ground‐derived injuries.

Conventional golf course fairway irrigation relies on visual observation of the turfgrass, followed by secondary considerations of short‐term weather forecasts, which oftentimes lead to ‘blanket’ applications to an entire area. Precision irrigation may achieve water use reductions by irrigating only where, when, and in the amount needed. Technology can further enhance its application; for example, using global navigation satellite system (GNSS)‐equipped soil moisture sensors for creating fairway soil moisture maps to identify variability. However, research regarding soil moisture variability on fairways at golf courses that differ by climatic region and course characteristics is limited. The objective of this case study was to report fairway soil moisture variability findings from nine golf courses in eight states in the United States that completed a soil moisture mapping protocol during 2019–2022. Each course used a handheld GNSS‐equipped soil moisture device to collect georeferenced soil moisture (percentage volumetric water content [VWC]) data from seven to 14 of their fairways. Soil moisture variability was assessed through summary statistics, box and whisker plots, and spatial maps. The mean soil moisture on fairways across courses was 22.4–48.8% VWC, the range was 27.6–43.7% VWC, and the CV was 7.5–39.4%. Box and whisker plots and spatial maps of soil moisture aided in visualizing variability within and between fairways at all courses. Results suggest that golf course fairway soil moisture variability is inevitable regardless of climatic region and course characteristics, which further reiterates the need for advanced irrigation practices and technologies for water conservation via precision irrigation.

Research compared handheld and mobile data acquisitions of soil moisture [volumetric water content (VWC)], soil compaction (penetration resistance), and turfgrass vigor [normalized difference vegetative index (NDVI)] of four natural turfgrass sports fields using two sampling grid sizes (4.8 × 4.8 m and 4.8 × 9.6 m). Differences between the two sampling grid sizes were minimal, indicating that sampling with handheld devices using a 4.8 × 9.6 m grid (120–130 samples) would achieve results similar to the smaller grid size. Central tendencies and data distributions varied among the handheld and mobile devices. Moderate to strong correlation coefficients were observed for VWC and NDVI; however, weak to moderate correlation coefficients were observed for penetration resistance at three of the four locations. Kriged maps of VWC and NDVI displayed similar patterns of variability between handheld and mobile devices, but at different magnitudes. Spatial maps of penetration resistance were inconsistent due to device design and user reliability. Consequently, mobile devices may provide the most reliable results for penetration resistance of natural turfgrass sports fields.