Demo — invented players, nothing you do here is saved. Start again
Demo FC

Demo FC

RPE & Wellbeing monitoring

Demo visitor

Microcycle · Tue 27 Oct – Sun 1 Nov

From the day after Mon 26 Oct day off to now (open microcycle).
⤓ Excel ← Prev Current Next →
Team load
784 AU
outfield avg per player · GK 995 AU
Monotony
0.61
< 2.0 is the usual target · GK 0.63
Strain / fatigue
476 AU ●
load × monotony (Foster) · GK 631
Availability
96%
fit squad, latest training day
Sessions
2
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
Other 6.9 503 39
Whole microcycle 6.9 503 39

Availability & injuries

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

PlayerStatusLost (cycle)Lost (total)
Ruben Costa injured 2 8

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
Strength / d 		Wed
High intensi 		Avail Load Monotony Strain
23Adam Kowalski 5 · 350 8 · 600 2/2 950 0.61 584
12Andre Silva Pinto GK 5 · 350 9 · 675 2/2 1025 0.6 617
11Arturo Leal 6 · 420 6 · 450 2/2 870 0.64 561
7Daniel Okonkwo 4 · 280 7 · 525 2/2 805 0.6 487
4Diego Romano 6 · 420 9 · 675 2/2 1095 0.62 680
20Etienne Roux – 8 · 600 2/2 600 0.41 245
28Felix Morand 6 · 420 9 · 675 2/2 1095 0.62 680
35Hugo Martins 5 · 350 8 · 600 2/2 950 0.61 584
5Ismael Toure – 9 · 675 2/2 675 0.41 276
31Jonas Weber GK 6 · 420 7 · 525 2/2 945 0.64 604
25Josep Canals – 7 · 525 2/2 525 0.41 214
6Karel Novak 6 · 420 ✕ 1/2 420 0.41 171
19Kieran Doyle 5 · 350 8 · 600 2/2 950 0.61 584
29Leon Fischer – 9 · 675 2/2 675 0.41 276
1Luka Mirkovic GK 7 · 490 7 · 525 2/2 1015 0.64 655
42Marco Bianchi 5 · 350 9 · 675 2/2 1025 0.6 617
2Mateo Ferrari 6 · 420 ✕ 1/2 420 0.41 171
18Milos Jovic 5 · 350 7 · 525 2/2 875 0.63 549
17Nikos Andreou 5 · 350 – 2/2 350 0.41 143
3Oliver Hansen – 8 · 600 2/2 600 0.41 245
21Omar Zahir 6 · 420 9 · 675 2/2 1095 0.62 680
9Pablo Estevez 5 · 350 9 · 675 2/2 1025 0.6 617
37Rafael Duarte 6 · 420 9 · 675 2/2 1095 0.62 680
8Ruben Costa ✚ ✚ 0/2 0
22Sami Benali 8 · 560 8 · 600 2/2 1160 0.64 748
15Tomas Brandao – 8 · 600 2/2 600 0.41 245
14Viktor Petrov 4 · 280 6 · 450 2/2 730 0.62 453
10Yannis Pappas 6 · 420 8 · 600 2/2 1020 0.63 644
Avg RPE — outfield 5.58
Avg RPE — GK 67.7
Available % 96%89%
Answered 21/27 (1✕)24/25 (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).