total distance minus sprint distance. Calculated only from matching recorded games. Remaining distance is an arithmetic remainder, not measured walking or jogging. Speed thresholds are unverified; missing or inconsistent inputs stay unavailable. Only games with readings for both teams count. Covered/played is shown; missing readings are not zero. More running is workload, not necessarily better football. Running/sprinting bands follow the provider; speed thresholds are not supplied.
What it tells you: total distance minus sprint distance. Calculated only from matching recorded games. Remaining distance is an arithmetic remainder, not measured walking or jogging. Speed thresholds are unverified; missing or inconsistent inputs stay unavailable. Only games with readings for both teams count. Covered/played is shown; missing readings are not zero. More running is workload, not necessarily better football. Running/sprinting bands follow the provider; speed thresholds are not supplied.
Updated · 3 Nov, 00:00 UK+/− = places higher/lower than the 2026/27 PL table.+5% rank correlation
Non-sprint distance. total distance minus sprint distance. Calculated only from matching recorded games. Remaining distance is an arithmetic remainder, not measured walking or jogging. Speed thresholds are unverified; missing or inconsistent inputs stay unavailable. Only games with readings for both teams count. Covered/played is shown; missing readings are not zero. More running is workload, not necessarily better football. Running/sprinting bands follow the provider; speed thresholds are not supplied. Position change is relative to the current Premier League table.
Pos
Club
Played
Covered
Non-sprint km
Opp. total
km / covered match ↑
Rank vs PL
1
ArsenalArsenal9 played · 24 ptsCovered: 8 · Non-sprint km: 941.72
9
8
941.72
907.43
117.72
0PL 1
2
FulhamFulham9 played · 9 ptsCovered: 9 · Non-sprint km: 1057.87
Ranks use paired readings per covered game. Covered and Played show the sample; missing games are excluded, never zero. This is workload, not a result forecast.
Which tables match the league?
Rank correlation · strongest to weakest
+100% same order · 0% no rank relationship · −100% opposite. Not prediction accuracy.
12026/27+93%Typical (31 seasons)+93%
22026/27+86%Typical (5 seasons)+76%
32026/27+83%Typical (5 seasons)+75%
42026/27+83%Typical (31 seasons)+80%
52026/27+83%Typical (31 seasons)+88%
2052026/27-36%Typical—
2062026/27-38%Typical (5 seasons)-24%
2072026/27-38%Typical (5 seasons)-31%
2082026/27-43%Typical (5 seasons)-19%
2092026/27-44%Typical (5 seasons)-23%
Typical = historical median at the same stage (87–93 league matches; complete matchdays). Each stat shows its available seasons. Main metric versus league position; ties averaged. Updates with the data.
How these tables work & more ideas
Filtered tables use points won on the pitch, with no allocation of league deductions. Opponent groups use today’s table, not their position when the match was played. Ties use PPM, goal difference per match, then goals per match; alphabetical order only arranges exact ties.
The Big Six are Arsenal, Chelsea, Liverpool, Manchester City, Manchester United and Tottenham. Form uses each club’s own completed games, not a shared gameweek.
P = games played; W/D/L = wins, draws and losses; GF/GA = goals for/against; GD = goal difference; PPM = points per match. xG measures chance quality before the shot; xGOT also considers where the shot goes. Missing values are not counted as zero.