2025/26 archive

Armando Broja

2025/26 season archive

Broja is not in a 2026/27 Premier League squad, so these figures are final rather than live. Browse 2026/27 players.

Burnley

Pace

0.5

points per gameweek

Minutes

33%

reached 60' · 8 of 24 starts

Market

Buying

9 net transfers

Final price£5.2m

Form (10 GW)0.5

Pts / Match1.8

GW38 Pts0

Total Pts434.6 per 90

Total Bonus20.2 per 90

ICT Index38.5

Selected by %0.1%

xGI2.40.3 per 90

G+A − xGI−0.4small sample

On dutyDefCon bonus1/24 apps

Minutes and bonus

Started

8/24

33% of appearances

Reached 60'

33%

8 of 24 games

Bonus won

in 1 of 24 games

BPS per game

4% bonus strike rate

Where the points come from

Appearance3274%

Goals49%

Assists37%

DefCon25%

Bonus25%

74% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 43 earned

Are the returns real?

Too few minutes this season to say whether his returns are backed by the chances — 843 played, and a gap needs about 900 before it means anything.

Across 1 full season on record he has finished above expectation every time.

Full seasons on record

2021/22 +8.0

Goals and assists minus xGI, per season. Positive means he finished above the chances he had.

Defensive Contribution

He averages 1.8 against a line of 12, so DefCon is not a realistic source of points for him.

Cleared

1/24

4% of games

Average

1.8

line is 12

Versus the line

-10.2

short on average

Action mix

14% tackles · 27% CBI · 59% recoveries

Against each level of opponent

His return barely moves with the difficulty of the opponent.

too few games(2)

2.07 per game(14)

1.43 per game(7)

too few games(1)

1 is the easiest opponent, 5 the hardest. Bracketed figure is appearances at that level.

Gameweek log

	Opponent
1	TOT (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.5m
2	SUN (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.5m
3	MUN (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.4m
4	LIV (H)	1	1	0	0	0	1	1	0	3	0.0	0.0	0.0	0.9	£5.4m
5	NFO (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.4m
6	MCI (A)	10	1	0	0	0	2	0	0	3	0.0	0.0	0.0	0.8	£5.3m
7	AVL (A)	31	1	0	0	0	1	2	0	1	0.0	0.0	0.0	0.4	£5.3m
8	LEE (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.3m
9	WOL (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.3m
10	ARS (H)	14	1	0	0	0	0	0	0	3	0.0	0.0	0.0	0.1	£5.3m
11	WHU (A)	19	1	0	0	0	2	1	0	4	0.0	0.0	0.0	1.8	£5.2m
12	CHE (H)	18	1	0	0	0	1	1	0	3	0.1	0.0	0.1	0.9	£5.2m
13	BRE (A)	9	1	0	0	0	2	0	0	2	0.0	0.0	0.0	0.8	£5.2m
14	CRY (H)	9	1	0	0	0	0	1	0	2	0.2	0.0	0.2	0.0	£5.2m
15	NEW (A)	85	2	0	0	0	2	5	0	-1	0.4	0.0	0.4	1.7	£5.2m
16	FUL (H)	90	2	0	0	0	3	3	0	3	0.5	0.0	0.5	2.2	£5.2m
17	BOU (A)	25	7	1	0	0	1	1	2	27	0.3	0.0	0.3	0.4	£5.2m
18	EVE (H)	87	2	0	0	1	0	3	0	3	0.4	0.0	0.4	0.8	£5.2m
19	NEW (H)	90	7	0	1	0	3	12	0	28	0.1	0.0	0.1	2.3	£5.2m
20	BHA (A)	63	2	0	0	0	2	2	0	6	0.0	0.0	0.0	1.4	£5.2m
21	MUN (H)	75	2	0	0	0	2	5	0	9	0.0	0.0	0.0	2.0	£5.2m
22	LIV (A)	73	2	0	0	0	1	4	0	5	0.0	0.0	0.0	2.3	£5.2m
23	TOT (H)	68	2	0	0	0	1	0	0	0	0.1	0.0	0.1	1.3	£5.2m
24	SUN (A)	27	1	0	0	0	1	0	0	1	0.0	0.0	0.0	0.8	£5.2m
25	WHU (H)	11	1	0	0	0	0	0	0	3	0.1	0.0	0.1	0.0	£5.2m
26	CRY (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.2m
27	CHE (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.2m
28	BRE (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.2m
29	EVE (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.2m
30	BOU (H)	2	1	0	0	0	0	1	0	2	0.0	0.0	0.0	0.9	£5.2m
31	FUL (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.2m
32	BHA (H)	8	1	0	0	0	1	0	0	2	0.0	0.0	0.0	0.1	£5.2m
33	NFO (A)	6	1	0	0	0	1	0	0	4	0.0	0.0	0.0	0.2	£5.2m
33	MCI (H)	8	1	0	0	0	0	1	0	3	0.0	0.0	0.0	1.1	£5.2m
35	LEE (A)	14	1	0	0	0	0	1	0	3	0.0	0.1	0.1	0.2	£5.2m
36	AVL (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.2m
37	ARS (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.2m
38	WOL (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	£5.2m

What the model expects

From the same expected-points model that runs across the whole player pool — an estimate per gameweek, not a prediction of any single one.

Expected per GW

2.7

points, average

Direction

−0.18

broadly steady

Sample

gameweeks behind it

Direction = last five gameweeks vs the five before. The model is injury-blind.

Points by gameweek · with model expectation

Points scoredModel expectation, set before kick-off

GW19–26: model expected 21 pts · he scored 17 (−4 vs expectation)

Market

Price History

Selected by %

0.1%

Net transfers, latest GW

Armando Broja

Minutes and bonus?

Where the points come from?

Are the returns real??

Defensive Contribution?

Against each level of opponent?

Gameweek log

What the model expects

Points by gameweek · with model expectation?

Market

Price History?

Minutes and bonus

Where the points come from

Are the returns real?

Defensive Contribution

Against each level of opponent

Points by gameweek · with model expectation

Price History