Mateus Gonçalo Espanha Fernandes

2025-26 FPL Draft season Preseason draft rank #136 Status Available

2025-26 season — where he finished

122

MID #30 · overall #70

total FPL points

3

goals scored
1.9 xG

3.6

points per game

6

bonus points
33 starts

Career arc

Season by season — tap a season for game-by-game

SeasonPtsPos rankGoalsAssistsMins

2025-26 ▸122MID #30332,837

GW	Opp	Min	Pts	G	A	Bon	xG	xA	xGI	xGC	CS	BPS	ICT	Infl	Creat	Threat	YC	RC	Tck	CBI	Rec	DC
GW1	SUN A	did not feature
GW2	CHE H	did not feature
GW3	NFO A	81	3	0	0	0	0.00	0.10	0.10	0.70	1	15	4.1	11.0	26.4	4.0	0	0	3	1	7	11
GW4	TOT H	60	2	0	0	0	0.00	0.15	0.15	0.63	0	10	3.9	6.4	28.3	4.0	0	0	2	0	1	3
GW5	CRY H	77	2	0	0	0	0.00	0.01	0.01	2.18	0	11	1.3	8.6	4.8	0.0	0	0	0	3	2	5
GW6	EVE A	90	2	0	0	0	0.11	0.01	0.12	0.73	0	8	1.1	3.8	4.4	3.0	0	0	2	1	1	4
GW7	ARS A	90	4	0	0	0	0.00	0.01	0.01	2.77	0	14	2.0	17.4	2.1	0.0	0	0	7	1	4	12
GW8	BRE H	45	1	0	0	0	0.05	0.01	0.06	1.46	0	5	1.3	9.0	2.3	2.0	0	0	1	2	2	5
GW9	LEE A	25	6	1	0	0	0.09	0.02	0.11	0.00	0	22	7.4	38.0	16.8	19.0	0	0	1	0	0	1
GW10	NEW H	84	7	0	1	2	0.24	0.07	0.31	0.44	0	26	7.7	30.8	40.7	5.0	0	0	2	2	4	8
GW11	BUR H	90	1	0	0	0	0.00	0.28	0.28	1.06	0	18	6.9	24.4	42.1	2.0	1	0	3	5	3	11
GW12	BOU A	73	4	0	0	0	0.00	0.00	0.00	1.73	0	12	2.0	18.8	0.7	0.0	0	0	1	6	7	14
GW13	LIV H	90	2	0	0	0	0.02	0.18	0.20	1.24	0	18	6.2	15.2	44.4	2.0	0	0	2	1	3	6
GW14	MUN A	90	4	0	0	0	0.12	0.06	0.18	1.56	0	19	4.5	16.6	24.1	4.0	0	0	2	2	8	12
GW15	BHA A	81	5	0	0	0	0.00	0.02	0.02	1.33	1	30	5.7	40.6	16.8	0.0	0	0	8	9	6	23
GW16	AVL H	90	9	1	0	0	0.16	0.01	0.17	0.67	0	25	5.7	30.0	9.3	18.0	0	0	1	1	11	13
GW17	MCI A	78	2	0	0	0	0.15	0.00	0.15	1.59	0	18	1.1	6.6	3.1	1.0	0	0	1	3	4	8
GW18	FUL H	90	2	0	0	0	0.00	0.08	0.08	1.62	0	20	4.3	22.4	18.8	2.0	0	0	4	2	5	11
GW19	BHA H	90	3	0	0	0	0.00	0.03	0.03	2.94	0	21	2.9	13.8	15.1	0.0	1	0	5	2	10	17
GW20	WOL A	90	2	0	0	0	0.00	0.32	0.32	1.87	0	16	7.1	15.0	54.0	2.0	0	0	1	1	4	6
GW21	NFO H	79	2	0	0	0	0.04	0.01	0.05	0.59	0	17	1.6	8.8	6.4	1.0	0	0	3	2	6	11
GW22	TOT A	90	9	0	1	2	0.00	0.01	0.01	1.41	0	30	6.3	40.8	22.2	0.0	0	0	4	8	6	18
GW23	SUN H	90	8	1	0	2	0.07	0.04	0.11	0.67	0	34	5.6	42.2	4.3	9.0	1	0	5	0	4	9
GW24	CHE A	90	4	0	0	0	0.09	0.16	0.25	2.70	0	21	6.0	17.8	30.1	12.0	0	0	1	6	7	14
GW25	BUR A	90	8	0	1	0	0.02	0.28	0.30	1.34	1	34	5.2	34.8	16.3	1.0	0	0	3	4	10	17
GW26	MUN H	90	3	0	0	0	0.00	0.02	0.02	0.57	0	16	1.6	13.0	3.2	0.0	1	0	5	2	8	15
GW27	BOU H	90	5	0	0	0	0.02	0.04	0.06	0.65	1	25	4.9	18.0	27.2	4.0	0	0	5	2	8	15
GW28	LIV A	90	2	0	0	0	0.02	0.06	0.08	1.84	0	18	2.4	11.0	5.8	7.0	0	0	2	0	6	8
GW29	FUL A	90	2	0	0	0	0.03	0.01	0.04	0.89	1	5	0.6	2.2	1.0	3.0	1	0	1	2	2	5
GW30	MCI H	90	1	0	0	0	0.00	0.01	0.01	2.03	0	9	0.4	3.0	1.3	0.0	1	0	3	2	3	8
GW31	AVL A	90	2	0	0	0	0.02	0.24	0.26	1.68	0	14	3.7	12.0	18.1	7.0	0	0	3	1	1	5
GW32	WOL H	84	2	0	0	0	0.00	0.22	0.22	0.46	1	12	4.6	6.2	39.6	0.0	1	0	1	0	3	4
GW33	CRY A	90	5	0	0	0	0.00	0.04	0.04	0.73	1	22	1.6	8.6	5.3	2.0	0	0	3	0	10	13
GW34	EVE H	90	2	0	0	0	0.04	0.04	0.08	1.45	0	13	2.7	17.4	5.9	4.0	0	0	4	2	5	11
GW35	BRE A	90	4	0	0	0	0.00	0.02	0.02	2.27	0	17	2.2	16.2	6.2	0.0	0	0	4	3	6	13

2024-25 ▸95MID #60242,911

GW	Opp	Min	Pts	G	A	Bon	xG	xA	xGI	xGC	CS	BPS	ICT	Infl	Creat	Threat	YC	RC
GW1	NEW A	did not feature
GW2	NFO H	14	1	0	0	0	0.00	0.01	0.01	0.19	0	4	0.9	1.4	3.8	4.0	0	0
GW3	BRE A	45	1	0	0	0	0.18	0.06	0.24	1.81	0	9	5.6	8.4	6.5	41.0	0	0
GW4	MUN H	80	2	0	0	0	0.00	0.03	0.03	1.90	0	7	1.2	4.2	3.5	4.0	0	0
GW5	IPS H	90	3	0	0	0	0.10	0.23	0.33	1.14	1	17	6.4	12.8	43.0	8.0	0	0
GW6	BOU A	69	1	0	0	0	0.00	0.00	0.00	1.29	0	6	2.5	10.4	12.8	2.0	1	0
GW7	ARS A	73	5	0	1	0	0.17	0.00	0.17	2.13	0	19	4.2	26.6	11.8	4.0	0	0
GW8	LEI H	67	1	0	0	0	0.00	0.02	0.02	1.95	0	8	1.9	12.4	4.7	2.0	1	0
GW9	MCI A	90	2	0	0	0	0.00	0.05	0.05	2.95	0	13	3.9	18.2	18.4	2.0	0	0
GW10	EVE H	90	2	0	0	0	0.00	0.03	0.03	1.56	1	12	2.2	13.8	4.2	4.0	1	0
GW11	WOL A	90	2	0	0	0	0.22	0.17	0.39	1.26	0	15	5.7	12.2	36.8	8.0	0	0
GW12	LIV H	90	7	1	0	0	0.22	0.07	0.29	3.15	0	28	9.2	45.6	21.9	24.0	0	0
GW13	BHA A	90	2	0	0	0	0.08	0.28	0.36	1.68	0	13	3.2	7.8	17.3	7.0	0	0
GW14	CHE H	78	2	0	0	0	0.53	0.04	0.57	5.11	0	17	6.8	15.6	2.6	50.0	0	0
GW15	AVL A	90	2	0	0	0	0.07	0.07	0.14	2.29	0	11	2.3	4.2	11.3	7.0	0	0
GW16	TOT H	90	1	0	0	0	0.00	0.03	0.03	2.44	0	5	2.4	4.4	15.6	4.0	1	0
GW17	FUL A	90	3	0	0	0	0.05	0.31	0.36	1.04	1	15	3.8	10.0	24.1	4.0	0	0
GW18	WHU H	72	2	0	0	0	0.21	0.33	0.54	1.66	0	8	9.7	20.0	52.1	25.0	0	0
GW19	CRY A	90	1	0	0	0	0.13	0.10	0.23	2.03	0	9	3.4	1.0	15.8	17.0	1	0
GW20	BRE H	did not feature
GW21	MUN A	72	2	0	0	0	0.90	0.05	0.95	1.57	1	17	7.8	21.4	20.2	36.0	1	0
GW22	NFO A	90	7	0	1	2	0.15	0.38	0.53	2.05	0	34	10.4	36.0	63.4	5.0	0	0
GW23	NEW H	90	1	0	0	0	0.14	0.11	0.25	2.93	0	15	6.3	16.4	22.1	24.0	1	0
GW24	IPS A	90	2	0	0	0	0.00	0.10	0.10	1.84	0	11	4.6	17.6	26.1	2.0	0	0
GW25	BOU H	90	2	0	0	0	0.00	0.09	0.09	1.20	0	13	3.3	14.2	18.8	0.0	0	0
GW26	BHA H	87	2	0	0	0	0.03	0.02	0.05	3.29	0	14	2.6	6.0	15.6	4.0	0	0
GW27	CHE A	90	2	0	0	0	0.02	0.02	0.04	2.56	0	13	0.8	1.4	4.4	2.0	0	0
GW28	LIV A	90	2	0	0	0	0.02	0.00	0.02	4.12	0	13	2.5	15.2	1.0	9.0	0	0
GW29	WOL H	45	1	0	0	0	0.00	0.04	0.04	0.16	0	5	1.8	4.6	13.3	0.0	0	0
GW30	CRY H	90	8	0	1	3	0.18	0.09	0.27	0.74	0	30	5.3	27.0	18.0	8.0	0	0
GW31	TOT A	90	9	1	0	2	0.40	0.03	0.43	2.12	0	38	10.3	55.6	15.3	32.0	0	0
GW32	AVL H	88	1	0	0	0	0.02	0.01	0.03	2.17	0	9	1.2	1.6	3.1	7.0	1	0
GW33	WHU A	90	2	0	0	0	0.00	0.12	0.12	0.91	0	17	5.6	13.0	41.1	2.0	0	0
GW34	FUL H	85	2	0	0	0	0.02	0.01	0.03	1.82	0	17	3.0	21.4	4.0	5.0	0	0
GW35	LEI A	56	1	0	0	0	0.04	0.08	0.12	0.97	0	6	4.4	18.4	18.1	7.0	0	0
GW36	MCI H	90	3	0	0	0	0.07	0.12	0.19	1.82	1	11	2.0	11.0	1.9	7.0	0	0
GW37	EVE A	90	2	0	0	0	0.03	0.12	0.15	2.73	0	8	1.9	10.0	7.8	1.0	0	0
GW38	ARS H	90	6	0	1	1	0.14	0.40	0.54	2.20	0	26	8.7	33.6	49.1	4.0	0	0

Recent form

2025-26 by gameweek — last 8

2

GW28

2

GW29

1

GW30

2

GW31

2

GW32

5

GW33

2

GW34

4

GW35

Waiver projection

✓ tested on held-out gameweeks

Next 4 gameweeks

11.1pts

~2.8 / GW · our more reliable read

Next gameweek

3.0pts

single-GW estimate · noisier

These come from a position-specific model trained on three seasons and tested on gameweeks it never saw. It’s a real edge, not a crystal ball — single-gameweek football is noisy, so the 4-week figure is the more dependable read. We publish the model’s actual accuracy (how we measure it) instead of asking you to take the number on faith.

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