Fantasy Premier League

Who defends for points

About half a defender's season comes from a clean sheet his club keeps and an award he clears on his own, and no board on this site has ever printed either. Every defender and midfielder the game would let you field, ranked on the defensive half of the round ahead, with the rate behind the award, the clean-sheet probability behind the sheet and what he does at the other end printed beside them.

The best defensive week

Gabriel Magalhães

DEF · ARS · 8.0m · owned by 23%

1.75

Def pts

The award rests on 8.1 defensive contributions per 90, shrunk towards what players in his position actually do, against the 10 actions the game pays for.

Gameweek 6 · 3-round window · feed of 01/10 11:39

Gabriel Magalhães is the best defensive return on the board: 1.75 projected defensive points in gameweek 6 as a defender, of which 0.44 is the contribution award, on a 41% chance of a clean sheet.

The award rests on 8.1 defensive contributions per 90, shrunk towards what players in his position actually do, against the 10 actions the game pays for. Of the 177 your filters leave: 82 defenders and 95 midfielders, ranked against each other.

Def pts

1.75

The clean sheet and the contribution award together, in the round ahead, which is what this board is ranked on.

DC/90

0.44

What the contribution award is worth to him: how often the model has him clearing 10 in a match, priced.

41%

How often the model has his side keeping the sheet clean in the round ahead.

The top five on this board

The board as your controls leave it — the same five that open the table below.

Ranked 1 Gabriel Magalhães

DEF ARS vs

1.75 Def pts

DC/90

8.1

CS

41%

BPS/90

18.0
2.3
1. LEE (H)
2. NFO (A)
3. EVE (H)
Ranked 2 John Egan

DEF HUL vs

1.69 Def pts

DC/90

11.4

CS

25%

BPS/90

14.6
3.0
1. EVE (H)
2. FUL (A)
3. BRE (H)
Ranked 3 Bobby Thomas

DEF COV vs

1.56 Def pts

DC/90

10.2

CS

28%

BPS/90

16.1
2.7
1. NEW (H)
2. TOT (A)
3. FUL (H)
Ranked 4 Chris Richards

DEF CRY vs

1.50 Def pts

DC/90

10.3

CS

25%

BPS/90

9.6
3.0
1. NFO (H)
2. BHA (A)
3. NEW (H)
Ranked 5 Murillo

DEF NFO vs

1.38 Def pts

DC/90

10.1

CS

24%

BPS/90

15.2
3.0
1. CRY (A)
2. ARS (H)
3. IPS (A)

Position

All DEF MID

Minutes played

Any 90+ 270+ 450+ 900+

At least

Any Very safe Safe Rotation risk

Rounds ahead

3 rounds 5 rounds 8 rounds

Price

Enter your squad to mark what you already own and what you could afford →

Showing 60 of 177 players 177 of 383 match your filters Clear filters

Player Price Ahead Def pts DC/90 DC pts CS xGI BPS/90 Start

1 Gabriel Magalhães DEF vs ARS 8.0m 10.0 1.75 8.1 0.44 41% 0.14 18.0 92%

1 Gabriel Magalhães 1.75

DEF vs ARS · 8.0m · CS 41%

DC/90: 8.1
DC pts: 0.44
xGI: 0.14
BPS/90: 18.0
Start: 92%

2 John Egan DEF vs HUL 4.1m 9.4 1.69 11.4 1.13 25% 0.01 14.6 92%

2 John Egan 1.69

DEF vs HUL · 4.1m · CS 25%

DC/90: 11.4
DC pts: 1.13
xGI: 0.01
BPS/90: 14.6
Start: 92%

3 Bobby Thomas DEF vs COV 4.0m 10.1 1.56 10.2 0.86 28% 0.16 16.1 92%

3 Bobby Thomas 1.56

DEF vs COV · 4.0m · CS 28%

DC/90: 10.2
DC pts: 0.86
xGI: 0.16
BPS/90: 16.1
Start: 92%

4 Chris Richards DEF vs CRY 4.9m 8.7 1.50 10.3 0.95 25% 0.03 9.6 92%

4 Chris Richards 1.50

DEF vs CRY · 4.9m · CS 25%

DC/90: 10.3
DC pts: 0.95
xGI: 0.03
BPS/90: 9.6
Start: 92%

5 Murillo DEF vs NFO 5.5m 9.0 1.38 10.1 0.91 24% 0.15 15.2 92%

5 Murillo 1.38

DEF vs NFO · 5.5m · CS 24%

DC/90: 10.1
DC pts: 0.91
xGI: 0.15
BPS/90: 15.2
Start: 92%

6 António Silva DEF vs BOU 5.0m 9.4 1.32 10.6 1.03 21% 0.23 6.0 92%

6 António Silva 1.32

DEF vs BOU · 5.0m · CS 21%

DC/90: 10.6
DC pts: 1.03
xGI: 0.23
BPS/90: 6.0
Start: 92%

7 Riccardo Calafiori DEF vs ARS 5.8m 9.5 1.32 4.6 0.01 41% 0.27 16.4 92%

7 Riccardo Calafiori 1.32

DEF vs ARS · 5.8m · CS 41%

DC/90: 4.6
DC pts: 0.01
xGI: 0.27
BPS/90: 16.4
Start: 92%

8 Jarrad Branthwaite DEF vs EVE 5.5m 8.7 1.30 10.3 0.95 21% 0.03 19.4 92%

8 Jarrad Branthwaite 1.30

DEF vs EVE · 5.5m · CS 21%

DC/90: 10.3
DC pts: 0.95
xGI: 0.03
BPS/90: 19.4
Start: 92%

9 Tarik Muharemović DEF vs LEE 5.0m 8.8 1.25 10.9 1.11 18% 0.11 20.2 92%

9 Tarik Muharemović 1.25

DEF vs LEE · 5.0m · CS 18%

DC/90: 10.9
DC pts: 1.11
xGI: 0.11
BPS/90: 20.2
Start: 92%

10 Sven Botman DEF vs NEW 5.0m 8.8 1.24 11.1 1.15 17% 0.04 8.6 92%

10 Sven Botman 1.24

DEF vs NEW · 5.0m · CS 17%

DC/90: 11.1
DC pts: 1.15
xGI: 0.04
BPS/90: 8.6
Start: 92%

11 James Tarkowski DEF vs EVE 6.2m 9.5 1.18 9.8 0.83 21% 0.05 27.6 92%

11 James Tarkowski 1.18

DEF vs EVE · 6.2m · CS 21%

DC/90: 9.8
DC pts: 0.83
xGI: 0.05
BPS/90: 27.6
Start: 92%

12 Harry Maguire DEF vs MUN 4.8m 7.9 1.16 6.4 0.16 34% 0.13 10.0 92%

12 Harry Maguire 1.16

DEF vs MUN · 4.8m · CS 34%

DC/90: 6.4
DC pts: 0.16
xGI: 0.13
BPS/90: 10.0
Start: 92%

13 Kristoffer Ajer DEF vs BRE 4.5m 8.5 1.12 9.6 0.79 21% 0.05 14.6 92%

13 Kristoffer Ajer 1.12

DEF vs BRE · 4.5m · CS 21%

DC/90: 9.6
DC pts: 0.79
xGI: 0.05
BPS/90: 14.6
Start: 92%

14 James Hill DEF vs BOU 5.5m 8.3 1.08 9.6 0.79 21% 0.16 8.6 92%

14 James Hill 1.08

DEF vs BOU · 5.5m · CS 21%

DC/90: 9.6
DC pts: 0.79
xGI: 0.16
BPS/90: 8.6
Start: 92%

15 Virgil van Dijk DEF vs LIV 6.5m 8.2 1.08 9.3 0.71 22% 0.07 19.2 92%

15 Virgil van Dijk 1.08

DEF vs LIV · 6.5m · CS 22%

DC/90: 9.3
DC pts: 0.71
xGI: 0.07
BPS/90: 19.2
Start: 92%

16 Vitaly Janelt MID vs BRE 5.0m 9.7 1.06 12.0 0.87 21% 0.20 21.8 92%

16 Vitaly Janelt 1.06

MID vs BRE · 5.0m · CS 21%

DC/90: 12.0
DC pts: 0.87
xGI: 0.20
BPS/90: 21.8
Start: 92%

17 Dara O'Shea DEF vs IPS 4.0m 7.8 1.03 9.3 0.71 21% 0.06 4.8 92%

17 Dara O'Shea 1.03

DEF vs IPS · 4.0m · CS 21%

DC/90: 9.3
DC pts: 0.71
xGI: 0.06
BPS/90: 4.8
Start: 92%

18 Maxence Lacroix DEF vs CHE 5.9m 7.3 1.03 10.8 0.65 24% 0.09 6.9 75%

18 Maxence Lacroix 1.03

DEF vs CHE · 5.9m · CS 24%

DC/90: 10.8
DC pts: 0.65
xGI: 0.09
BPS/90: 6.9
Start: 75%

19 Wesley Fofana DEF vs CHE 5.0m 6.9 0.99 12.2 0.61 24% 0.02 10.1 75%

19 Wesley Fofana 0.99

DEF vs CHE · 5.0m · CS 24%

DC/90: 12.2
DC pts: 0.61
xGI: 0.02
BPS/90: 10.1
Start: 75%

20 Anton Stach MID vs LEE 6.0m 9.6 0.92 11.6 0.75 18% 0.26 17.3 92%

20 Anton Stach 0.92

MID vs LEE · 6.0m · CS 18%

DC/90: 11.6
DC pts: 0.75
xGI: 0.26
BPS/90: 17.3
Start: 92%

21 Issa Diop DEF vs IPS 4.0m 7.5 0.92 8.8 0.59 21% 0.04 9.0 92%

21 Issa Diop 0.92

DEF vs IPS · 4.0m · CS 21%

DC/90: 8.8
DC pts: 0.59
xGI: 0.04
BPS/90: 9.0
Start: 92%

22 Nordi Mukiele DEF vs SUN 5.4m 8.0 0.92 11.1 0.71 21% 0.26 11.0 75%

22 Nordi Mukiele 0.92

DEF vs SUN · 5.4m · CS 21%

DC/90: 11.1
DC pts: 0.71
xGI: 0.26
BPS/90: 11.0
Start: 75%

23 Alex Scott MID vs BOU 6.1m 9.8 0.91 11.5 0.72 21% 0.21 26.0 92%

23 Alex Scott 0.91

MID vs BOU · 6.1m · CS 21%

DC/90: 11.5
DC pts: 0.72
xGI: 0.21
BPS/90: 26.0
Start: 92%

24 Ethan Pinnock DEF vs COV 4.5m 5.9 0.90 12.5 0.48 28% 0.04 4.8 58%

24 Ethan Pinnock 0.90

DEF vs COV · 4.5m · CS 28%

DC/90: 12.5
DC pts: 0.48
xGI: 0.04
BPS/90: 4.8
Start: 58%

25 Ethan Ampadu MID vs LEE 5.4m 8.5 0.89 11.4 0.72 18% 0.07 17.4 92%

25 Ethan Ampadu 0.89

MID vs LEE · 5.4m · CS 18%

DC/90: 11.4
DC pts: 0.72
xGI: 0.07
BPS/90: 17.4
Start: 92%

26 Adrien Truffert DEF vs BOU 5.4m 8.0 0.88 8.8 0.59 21% 0.08 10.6 92%

26 Adrien Truffert 0.88

DEF vs BOU · 5.4m · CS 21%

DC/90: 8.8
DC pts: 0.59
xGI: 0.08
BPS/90: 10.6
Start: 92%

27 Ezri Konsa Ngoyo DEF vs ARS 4.6m 6.0 0.86 7.4 0.04 41% 0.08 11.5 58%

27 Ezri Konsa Ngoyo 0.86

DEF vs ARS · 4.6m · CS 41%

DC/90: 7.4
DC pts: 0.04
xGI: 0.08
BPS/90: 11.5
Start: 58%

28 Luke Shaw DEF vs MUN 4.3m 6.4 0.85 6.5 0.04 34% 0.17 14.5 75%

28 Luke Shaw 0.85

DEF vs MUN · 4.3m · CS 34%

DC/90: 6.5
DC pts: 0.04
xGI: 0.17
BPS/90: 14.5
Start: 75%

29 Lisandro Martínez DEF vs MUN 5.0m 6.6 0.83 5.5 0.02 34% 0.09 7.3 75%

29 Lisandro Martínez 0.83

DEF vs MUN · 5.0m · CS 34%

DC/90: 5.5
DC pts: 0.02
xGI: 0.09
BPS/90: 7.3
Start: 75%

30 Anan Khalaili DEF vs CRY 5.0m 7.2 0.82 9.9 0.40 25% 0.31 12.8 75%

30 Anan Khalaili 0.82

DEF vs CRY · 5.0m · CS 25%

DC/90: 9.9
DC pts: 0.40
xGI: 0.31
BPS/90: 12.8
Start: 75%

31 Diogo Dalot DEF vs MUN 4.9m 6.4 0.82 4.9 0.01 34% 0.12 12.0 75%

31 Diogo Dalot 0.82

DEF vs MUN · 4.9m · CS 34%

DC/90: 4.9
DC pts: 0.01
xGI: 0.12
BPS/90: 12.0
Start: 75%

32 Jay Dasilva DEF vs COV 4.0m 8.2 0.75 5.2 0.04 28% 0.21 10.9 92%

32 Jay Dasilva 0.75

DEF vs COV · 4.0m · CS 28%

DC/90: 5.2
DC pts: 0.04
xGI: 0.21
BPS/90: 10.9
Start: 92%

33 Lewis Hall DEF vs NEW 5.3m 9.1 0.72 9.0 0.63 17% 0.21 25.5 92%

33 Lewis Hall 0.72

DEF vs NEW · 5.3m · CS 17%

DC/90: 9.0
DC pts: 0.63
xGI: 0.21
BPS/90: 25.5
Start: 92%

34 Vitalii Mykolenko DEF vs EVE 4.6m 7.6 0.72 7.8 0.37 21% 0.04 21.8 92%

34 Vitalii Mykolenko 0.72

DEF vs EVE · 4.6m · CS 21%

DC/90: 7.8
DC pts: 0.37
xGI: 0.04
BPS/90: 21.8
Start: 92%

35 Granit Xhaka MID vs SUN 5.5m 9.5 0.70 10.4 0.51 21% 0.27 23.2 92%

35 Granit Xhaka 0.70

MID vs SUN · 5.5m · CS 21%

DC/90: 10.4
DC pts: 0.51
xGI: 0.27
BPS/90: 23.2
Start: 92%

36 James Justin DEF vs LEE 4.5m 8.0 0.70 8.6 0.55 18% 0.12 18.2 92%

36 James Justin 0.70

DEF vs LEE · 4.5m · CS 18%

DC/90: 8.6
DC pts: 0.55
xGI: 0.12
BPS/90: 18.2
Start: 92%

37 Malick Thiaw DEF vs NEW 5.0m 7.6 0.68 8.8 0.59 17% 0.02 6.4 92%

37 Malick Thiaw 0.68

DEF vs NEW · 5.0m · CS 17%

DC/90: 8.8
DC pts: 0.59
xGI: 0.02
BPS/90: 6.4
Start: 92%

38 Elliot Anderson MID vs MCI 6.3m 8.3 0.65 11.1 0.48 19% 0.17 20.7 92%

38 Elliot Anderson 0.65

MID vs MCI · 6.3m · CS 19%

DC/90: 11.1
DC pts: 0.48
xGI: 0.17
BPS/90: 20.7
Start: 92%

39 Jair Cunha DEF vs NFO 4.5m 5.9 0.65 8.7 0.28 24% 0.01 10.0 75%

39 Jair Cunha 0.65

DEF vs NFO · 4.5m · CS 24%

DC/90: 8.7
DC pts: 0.28
xGI: 0.01
BPS/90: 10.0
Start: 75%

40 Jaydee Canvot DEF vs CRY 4.8m 6.1 0.65 8.3 0.23 25% 0.04 9.5 75%

40 Jaydee Canvot 0.65

DEF vs CRY · 4.8m · CS 25%

DC/90: 8.3
DC pts: 0.23
xGI: 0.04
BPS/90: 9.5
Start: 75%

41 Luka Vušković DEF vs BHA 5.0m 8.3 0.64 8.7 0.51 18% 0.10 20.2 92%

41 Luka Vušković 0.64

DEF vs BHA · 5.0m · CS 18%

DC/90: 8.7
DC pts: 0.51
xGI: 0.10
BPS/90: 20.2
Start: 92%

42 Semi Ajayi DEF vs HUL 4.2m 7.6 0.64 6.1 0.09 25% 0.14 16.8 92%

42 Semi Ajayi 0.64

DEF vs HUL · 4.2m · CS 25%

DC/90: 6.1
DC pts: 0.09
xGI: 0.14
BPS/90: 16.8
Start: 92%

43 Jeremy Jacquet DEF vs LIV 5.0m 7.3 0.63 7.8 0.27 22% 0.03 24.3 92%

43 Jeremy Jacquet 0.63

DEF vs LIV · 5.0m · CS 22%

DC/90: 7.8
DC pts: 0.27
xGI: 0.03
BPS/90: 24.3
Start: 92%

44 Ryan Giles DEF vs HUL 4.0m 7.1 0.61 5.3 0.05 25% 0.09 19.1 92%

44 Ryan Giles 0.61

DEF vs HUL · 4.0m · CS 25%

DC/90: 5.3
DC pts: 0.05
xGI: 0.09
BPS/90: 19.1
Start: 92%

45 Tyrick Mitchell DEF vs CRY 4.5m 7.9 0.61 5.8 0.06 25% 0.23 14.6 92%

45 Tyrick Mitchell 0.61

DEF vs CRY · 4.5m · CS 25%

DC/90: 5.8
DC pts: 0.06
xGI: 0.23
BPS/90: 14.6
Start: 92%

46 Neco Williams DEF vs NFO 5.0m 7.5 0.60 6.1 0.12 24% 0.20 17.0 92%

46 Neco Williams 0.60

DEF vs NFO · 5.0m · CS 24%

DC/90: 6.1
DC pts: 0.12
xGI: 0.20
BPS/90: 17.0
Start: 92%

47 Benjamin White DEF vs ARS ! 5.5m 4.9 0.57 5.7 0.00 41% 0.13 22.3 56%

47 Benjamin White 0.57

DEF vs ARS · 5.5m · CS 41%

DC/90: 5.7
DC pts: 0.00
xGI: 0.13
BPS/90: 22.3
Start: 56%

48 Lewis Miley MID vs NEW 5.5m 7.8 0.56 11.2 0.41 17% 0.04 15.5 92%

48 Lewis Miley 0.56

MID vs NEW · 5.5m · CS 17%

DC/90: 11.2
DC pts: 0.41
xGI: 0.04
BPS/90: 15.5
Start: 92%

49 Rodrigo Bentancur MID vs TOT 5.5m 6.9 0.55 13.4 0.45 14% 0.03 16.8 75%

49 Rodrigo Bentancur 0.55

MID vs TOT · 5.5m · CS 14%

DC/90: 13.4
DC pts: 0.45
xGI: 0.03
BPS/90: 16.8
Start: 75%

50 Youri Tielemans MID vs MUN 5.8m 8.3 0.50 9.4 0.19 34% 0.27 20.8 92%

50 Youri Tielemans 0.50

MID vs MUN · 5.8m · CS 34%

DC/90: 9.4
DC pts: 0.19
xGI: 0.27
BPS/90: 20.8
Start: 92%

51 Xaver Schlager MID vs NFO 5.0m 6.7 0.48 11.1 0.30 24% 0.09 16.8 75%

51 Xaver Schlager 0.48

MID vs NFO · 5.0m · CS 24%

DC/90: 11.1
DC pts: 0.30
xGI: 0.09
BPS/90: 16.8
Start: 75%

52 Daniel Ballard DEF vs SUN ! 4.9m 5.7 0.47 9.4 0.27 21% 0.09 6.2 69%

52 Daniel Ballard 0.47

DEF vs SUN · 4.9m · CS 21%

DC/90: 9.4
DC pts: 0.27
xGI: 0.09
BPS/90: 6.2
Start: 69%

53 Exequiel Palacios MID vs IPS 5.0m 6.5 0.45 12.9 0.31 21% 0.03 20.9 70%

53 Exequiel Palacios 0.45

MID vs IPS · 5.0m · CS 21%

DC/90: 12.9
DC pts: 0.31
xGI: 0.03
BPS/90: 20.9
Start: 70%

54 Levi Samuels Colwill DEF vs CHE 4.8m 5.7 0.45 7.0 0.07 24% 0.01 4.5 75%

54 Levi Samuels Colwill 0.45

DEF vs CHE · 4.8m · CS 24%

DC/90: 7.0
DC pts: 0.07
xGI: 0.01
BPS/90: 4.5
Start: 75%

55 Milan van Ewijk DEF vs COV ! 4.0m 4.5 0.42 6.9 0.02 28% 0.08 1.8 56%

55 Milan van Ewijk 0.42

DEF vs COV · 4.0m · CS 28%

DC/90: 6.9
DC pts: 0.02
xGI: 0.08
BPS/90: 1.8
Start: 56%

56 Bukayo Saka MID vs ARS 9.5m 10.8 0.41 7.0 0.04 41% 0.91 29.6 92%

56 Bukayo Saka 0.41

MID vs ARS · 9.5m · CS 41%

DC/90: 7.0
DC pts: 0.04
xGI: 0.91
BPS/90: 29.6
Start: 92%

57 Quinten Timber MID vs CRY 5.0m 7.8 0.40 9.2 0.18 25% 0.11 16.0 88%

57 Quinten Timber 0.40

MID vs CRY · 5.0m · CS 25%

DC/90: 9.2
DC pts: 0.18
xGI: 0.11
BPS/90: 16.0
Start: 88%

58 Adam Wharton MID vs CRY 5.4m 7.8 0.39 8.4 0.16 25% 0.15 15.9 92%

58 Adam Wharton 0.39

MID vs CRY · 5.4m · CS 25%

DC/90: 8.4
DC pts: 0.16
xGI: 0.15
BPS/90: 15.9
Start: 92%

59 Mohamed Belloumi MID vs HUL 5.1m 7.8 0.39 9.7 0.20 25% 0.26 25.4 92%

59 Mohamed Belloumi 0.39

MID vs HUL · 5.1m · CS 25%

DC/90: 9.7
DC pts: 0.20
xGI: 0.26
BPS/90: 25.4
Start: 92%

60 Jacob Greaves DEF vs IPS 4.0m 5.3 0.38 7.6 0.14 21% 0.02 3.0 75%

60 Jacob Greaves 0.38

DEF vs IPS · 4.0m · CS 21%

DC/90: 7.6
DC pts: 0.14
xGI: 0.02
BPS/90: 3.0
Start: 75%

each row's Def pts, drawn to scale every bar on one axis of 0 to 2.0

What these columns are, and which of them is measured

Nothing on this page is derived here. Every column is a component the round-ahead projection has computed since the model was written — the clean sheet off the modelled scoreline, the concession off the same distribution, and the contribution award off the rate below — and the total beside them is those components added up rather than a second opinion about them.

The per-90 rate is shrunk towards what players in that position actually do, in proportion to how little football is behind it. A defender with one busy half has a raw per-90 above anybody's and would head a table sorted on it; that failure is why the shrinkage exists, and it is why the number here is smaller than the one the game publishes for him.

The award does not stack and it is not a rate: it is a threshold cleared once, 10 actions for a defender and 12 for a midfielder, which the game counts differently for the two — a midfielder's recoveries are in his total and a defender's are not. What the column holds is how likely he is to clear it, priced at what the game pays.

A clean sheet here is the probability that the opponent scores exactly zero, off the same fitted scoreline the rest of this site prices matches with. It is not one minus an average, and it is the reason this model exists rather than reading the game's own one-to-five fixture rating.

A dash in the rate column means the game publishes no defensive contribution total for that player at all. It is not a nought: nought would say he has produced none, where the dash says the figure is not in the feed.

The bonus column is the one measured figure on the board — his stored bonus points system total over the minutes he played for it, highlighted above 25 per 90, which is roughly where the three-per-match award starts arriving. This site projects bonus nowhere, so it is a reading of his season rather than a claim about the round.

Goalkeepers and forwards are not here. A goalkeeper cannot earn the contribution award at all and a forward is paid nothing for a clean sheet, so neither has a defensive half this board could rank him on.

Every ranking here is in expected points or in the weighted score for the rounds ahead, which are the units this model is measured in. The value column is those figures restated over a price — it is a way of scanning the board, and nothing on this site backtests it.

The board is every player the game would let you field, the flagged included — whether a doubtful player is worth picking is a judgement the projection makes with his published chance of playing, not one made by hiding him.

What is measured here, and what is not

Measured The projected points

Replayed against gameweek 2 after it was played: an average miss of 1.617 points a player, against 1.842 for “predict what he has averaged so far”, over 456 players. Recorded Sunday, 6 September 2026 and refreshed by hand, so the date is part of the claim.