Daniel Kendall 15000m row
15,000m
Meters
1:04:59.3
Time
2:09.9
Pace
907
Calories
118
Heart Rate
Average Watts | 159 |
---|---|
Calories Per Hour | 848 |
Stroke Rate | 24 |
Stroke Count | 1608 |
Drag Factor | 0 |
February 22, 2023 16:05:00
Workout
RowErg
Workout Type
Fixed Distance
Weight Class
Hwt
Verified
Yes
Entered
ErgData iOS
Splits
Time | Meters | Pace | Watts | Cal/Hr | S/M | |
---|---|---|---|---|---|---|
1:04:59.3 | 15,000m | 2:09.9 | 159 | 848 | 24 | 118 |
2:11.8 | 500m | 2:11.8 | 153 | 826 | 26 | 51 |
2:11.4 | 1,000m | 2:11.4 | 154 | 830 | 25 | 51 |
2:11.5 | 1,500m | 2:11.5 | 154 | 829 | 25 | 62 |
2:11.0 | 2,000m | 2:11.0 | 156 | 835 | 25 | 71 |
2:11.4 | 2,500m | 2:11.4 | 154 | 830 | 24 | 118 |
2:11.2 | 3,000m | 2:11.2 | 155 | 833 | 24 | 120 |
2:11.1 | 3,500m | 2:11.1 | 155 | 834 | 24 | 121 |
2:11.1 | 4,000m | 2:11.1 | 155 | 834 | 25 | 119 |
2:11.2 | 4,500m | 2:11.2 | 155 | 833 | 25 | 123 |
2:11.4 | 5,000m | 2:11.4 | 154 | 830 | 24 | 123 |
2:11.4 | 5,500m | 2:11.4 | 154 | 830 | 25 | 123 |
2:11.1 | 6,000m | 2:11.1 | 155 | 834 | 25 | 125 |
2:11.1 | 6,500m | 2:11.1 | 155 | 834 | 25 | 126 |
2:11.5 | 7,000m | 2:11.5 | 154 | 829 | 25 | 125 |
2:11.1 | 7,500m | 2:11.1 | 155 | 834 | 25 | 126 |
2:10.9 | 8,000m | 2:10.9 | 156 | 837 | 25 | 127 |
2:10.2 | 8,500m | 2:10.2 | 159 | 845 | 25 | 128 |
2:09.3 | 9,000m | 2:09.3 | 162 | 857 | 25 | 128 |
2:09.4 | 9,500m | 2:09.4 | 162 | 855 | 25 | 129 |
2:07.5 | 10,000m | 2:07.5 | 169 | 881 | 25 | 132 |
2:10.1 | 10,500m | 2:10.1 | 159 | 847 | 24 | 130 |
2:08.9 | 11,000m | 2:08.9 | 163 | 862 | 25 | 131 |
2:12.0 | 11,500m | 2:12.0 | 152 | 823 | 24 | 132 |
2:08.1 | 12,000m | 2:08.1 | 167 | 873 | 25 | 132 |
2:08.4 | 12,500m | 2:08.4 | 165 | 869 | 24 | 132 |
2:08.8 | 13,000m | 2:08.8 | 164 | 863 | 25 | 135 |
2:08.2 | 13,500m | 2:08.2 | 166 | 871 | 24 | 132 |
2:08.0 | 14,000m | 2:08.0 | 167 | 874 | 24 | 135 |
2:07.0 | 14,500m | 2:07.0 | 171 | 888 | 25 | 137 |
2:03.1 | 15,000m | 2:03.1 | 188 | 945 | 26 | 140 |
Click and drag on the graph to zoom in on a section.
Workout Graph
Loading data.