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Demo FC

Demo FC

RPE & Wellbeing monitoring

Demo visitor

Microcycle · Tue 22 Sept – Sun 27 Sept

From the day after Mon 21 Sept day off to Mon 28 Sept day off.
Team load
1455 AU
outfield avg per player · GK 1430 AU
Monotony
2.07
< 2.0 is the usual target · GK 1.22
Strain / fatigue
3006 AU
load × monotony (Foster) · GK 1741
Availability
93%
fit squad, latest training day
Sessions
7
this microcycle

Team daily load

Average RPE × minutes per player, per day (AU) — goalkeepers shown as their own series

Wellbeing trend

Team average per day (scale 1–5)

Sleep hours

Team average hours of sleep per night

Whoop recovery

Team average recovery score — Whoop users only (%)

Microcycle averages

Outfield average RPE and load by microcycle day — goalkeepers are excluded, their work is a different type. MD+1 is split into Recovery (played) and Compensatory (did not play).

DayAvg RPEAvg load (AU)Answers
MD-4 5.8 409 19
MD-3 7.9 591 17
MD-2 5 325 21
MD-1 2.8 138 20
MD 8.9 496 13
MD+1 Recovery 1.5 46 13
MD+1 Compensatory 5.8 321 6
Whole microcycle 5.3 334 109

Availability & injuries

Injured players and lost training days (distinct days flagged injured).

PlayerStatusLost (cycle)Lost (total)
Luka Mirkovic injured 6 6
Mateo Ferrari injured 6 6

Submission times

When each questionnaire was sent — every dot is one submission. Hover a dot for the player and exact time.

RPE & load matrix

Days are labelled relative to the match (MD-4 … MD-1, MD, MD+1). Each RPE is compared with the player's habitual value for that microcycle day: ▲ above habitual ▼ below habitual. Strain is coloured vs each player's own history (high moderate low). ✚ = injured · ✕ = unavailable · “–” = no answer yet. Goalkeepers (GK) are listed with everyone else but averaged separately.

Player Tue MD-4
Strength / d
Wed MD-3
High intensi
Thu MD-2
Tactical
Fri MD-1
Activation +
Sat MD
Match
Sun MD+1
Recovery
Sun MD+1
Compensatory
Avail Load Monotony Strain
23Adam Kowalski 6 · 420 – 5 · 325 2 · 100 8 · 104 1 · 30 6/7 979 0.96 941
12Andre Silva Pinto GK 6 · 420 8 · 600 4 · 260 – 10 · 880 3 · 90 6/7 2250 1.14 2561
11Arturo Leal – 7 · 525 5 · 325 2 · 100 6 · 330 5/7 1280 1 1281
7Daniel Okonkwo 4 · 280 8 · 600 5 · 325 – 8 · 248 1 · 30 6/7 1483 1.13 1673
4Diego Romano 6 · 420 9 · 675 5 · 325 ✕ 9 · 783 2 · 60 5/7 2263 1.19 2697
20Etienne Roux 6 · 420 – 6 · 390 – – 5/7 810 0.64 522
28Felix Morand – 9 · 675 – 5 · 250 9 · 288 3 · 90 6/7 1303 0.85 1108
35Hugo Martins – ✕ 5 · 325 3 · 150 6 · 330 4/7 805 0.84 672
5Ismael Toure 6 · 420 – 5 · 325 3 · 150 9 · 828 1 · 30 6/7 1753 0.94 1655
31Jonas Weber GK 4 · 280 7 · 525 5 · 325 2 · 100 8 · 752 2 · 60 6/7 2042 1.3 2650
25Josep Canals 5 · 350 6 · 450 – 1 · 50 8 · 184 1 · 30 6/7 1064 0.95 1013
6Karel Novak 7 · 490 8 · 600 5 · 325 3 · 150 10 · 890 2 · 60 6/7 2515 1.37 3439
19Kieran Doyle 7 · 490 8 · 600 5 · 325 3 · 150 ✕ 4/7 1565 1.03 1614
29Leon Fischer 6 · 420 ✕ ✕ 2 · 100 5 · 275 3/7 795 0.75 595
1Luka Mirkovic GK ✚ ✚ ✚ ✚ ✚ ✚ 0/7 0
42Marco Bianchi 5 · 350 8 · 600 5 · 325 3 · 150 8 · 136 2 · 60 6/7 1621 1.37 2219
2Mateo Ferrari ✚ ✚ ✚ ✚ ✚ ✚ 0/7 0
18Milos Jovic 5 · 350 9 · 675 4 · 260 2 · 100 – 5/7 1385 0.89 1233
17Nikos Andreou 6 · 420 8 · 600 4 · 260 2 · 100 – – 6/7 1380 0.94 1303
3Oliver Hansen 6 · 420 6 · 450 5 · 325 2 · 100 9 · 774 1 · 30 6/7 2099 1.3 2736
21Omar Zahir – ✕ 6 · 390 4 · 200 7 · 385 4/7 975 0.85 831
9Pablo Estevez 6 · 420 – 4 · 260 – 5 · 275 5/7 955 0.87 830
37Rafael Duarte 6 · 420 8 · 600 6 · 390 3 · 150 – 5/7 1560 1.05 1641
8Ruben Costa 7 · 490 7 · 525 4 · 260 4 · 200 10 · 900 1 · 30 6/7 2405 1.31 3143
22Sami Benali 7 · 490 9 · 675 6 · 390 4 · 200 10 · 290 2 · 60 6/7 2105 1.61 3392
15Tomas Brandao 5 · 350 8 · 600 4 · 260 2 · 100 9 · 828 2 · 60 6/7 2198 1.23 2702
14Viktor Petrov ✕ 7 · 525 5 · 325 3 · 150 9 · 189 1 · 30 5/7 1219 1.03 1262
10Yannis Pappas 5 · 350 9 · 675 6 · 390 2 · 100 6 · 330 5/7 1845 1.3 2390
Avg RPE — outfield 5.87.952.88.91.55.8
Avg RPE — GK 57.54.5292.5
Available % 89%82%89%89%89%100%75%
Answered 21/25 (3✕)19/23 (5✕)23/25 (3✕)21/25 (3✕)15/16 (2✕)15/166/9 (3✕)

Cell format: RPE · load (AU). “Avail” = sessions available / total this microcycle. Monotony = mean ÷ SD of the player's daily load across the microcycle days; strain = microcycle load × monotony (Foster), coloured relative to the player's own recent strain. Habitual per-day values come from the previous ~12 weeks (≥ 2 past values for that MD day).