#17

New York Red Bulls

12W · 7D · 15LSeason Wrapped →

Points

43.4 xPts

Pts − xPts

-0.4

over/under

Goals

48 – 47

+1 GD

47.8

53.0 xGA

xGD

-5.2

-9.3 npxGD

PPDA

—

no pressing data

Profile — percentile rank vs league (100 = best)

Attack (xG)40

Defence40

Expected pts33

Goals47

Analyst — squad needs & recruitment priorities

Priority need:goalscorer

Weakest area: Attack — attacking output in the 13th percentile of the league.

Attacking output by area — percentile vs league

Attack

Midfield

Defence

Top-2 xG share

41%

balanced

Top-2 minutes

17%

Core avg age

26.7

4 aged 30+

Expiring soon

contracts

Recruitment priorities

goalscorerFW attacking output in the bottom 13% of the league

Expiring: Eric Maxim Choupo-Moting (2026), Emil Forsberg (2026), Sean Nealis (2026), Julian Hall (2026), Mohammed Sofo (2026), Dylan Nealis (2027), Kyle Duncan (2026), Wikelman Carmona (2027), Tim Parker (2026), Raheem Edwards (2026), Peter Stroud (2026), Omar Valencia (2027), Cameron Harper (2027)

Data desk view: attacking output only (npxG + xA). Defensive and tactical quality are not modelled — pair with the eye test.

Checking access…

Simulate a signing in the Transfer Lab →

Recent form (last 5, oldest → newest)

lwlll

Clean sheets

Failed to score

Finishing (G − xG)

+0.2

Defence (xGA − GA)

+6.0

Home / Away split

	P	W–D–L	GF–GA	Pts	xG	xGA
Home	17	10–3–4	36–23	33	32.1	24.6
Away	17	2–4–11	12–24	10	15.6	28.4

Cumulative expected goals — attack vs defence

Season by season — league finish (top-4 shaded; current highlighted)

League position by matchday (1 = top)

xG by situation — attack (team colour) vs defence (red)

xG by 15-min window — for (team colour) vs against (red, below)

xG by game state — leading / level / trailing

Results — click a score for the match, a team for its page

MD	H/A	Opponent		Score	xG	xGA
–	A	FC Cincinnati	l	0–1	1.2	1.7
–	H	Nashville SC	w	2–0	2.2	0.9
–	A	Atlanta United	d	0–0	0.3	0.6
–	H	Orlando City SC	d	2–2	3.0	1.7
–	H	Toronto FC	w	2–1	1.9	0.5
–	A	New England Revolution	l	1–2	1.5	2.2
–	H	Chicago Fire	w	2–1	1.4	1.9
–	A	Orlando City SC	d	0–0	0.6	1.5
–	H	DC United	l	1–2	1.2	0.8
–	H	CF Montréal	w	1–0	1.3	0.6
–	A	Inter Miami CF	l	1–4	0.6	2.4
–	H	LA Galaxy	w	7–0	3.8	2.0
–	A	Nashville SC	l	1–2	0.6	1.9
–	A	New York City FC	l	0–2	0.4	1.7
–	A	DC United	w	2–0	1.2	0.8
–	H	Charlotte FC	w	4–2	2.2	2.3
–	H	Atlanta United	w	2–0	1.1	1.1
–	A	Austin FC	l	1–2	1.1	1.3
–	A	Toronto FC	d	1–1	1.7	1.1
–	H	Minnesota United	d	2–2	2.4	0.8
–	A	San Jose Earthquakes	d	1–1	0.8	1.5
–	A	Philadelphia Union	l	0–2	0.5	2.7
–	H	New England Revolution	w	5–3	3.6	2.3
–	H	Inter Miami CF	l	1–5	0.8	3.0
–	A	Chicago Fire	l	0–1	0.5	2.2
–	H	Real Salt Lake	w	2–1	3.9	1.1
–	H	Philadelphia Union	w	1–0	0.3	1.4
–	A	Charlotte FC	l	0–1	1.7	0.5
–	H	Columbus Crew	d	0–0	0.9	0.5
–	A	Portland Timbers	l	1–2	1.1	2.4
–	A	CF Montréal	w	2–0	1.6	2.1
–	H	New York City FC	l	2–3	1.4	2.9
–	H	FC Cincinnati	l	0–1	1.0	0.7
–	A	Columbus Crew	l	1–3	0.4	1.9

Squad planning — value, age and expiring contracts

Squad market value

€31.2M

18 players valued

Average age

25.3

23.2 value-weighted

Expiring by 2026

contracts

Expiring contracts

Player	Age	Value	Until
Julian Hall	17	€8.2M	2026
Emil Forsberg	33	€1.9M	2026
Kyle Duncan	27	€1.3M	2026
Sean Nealis	28	€1.1M	2026
Lewis Morgan	28	€1.1M	2026
Eric Maxim Choupo-Moting	36	€1.0M	2026
Mohammed Sofo	20	€925k	2026
Peter Stroud	23	€840k	2026
Raheem Edwards	30	€750k	2026
Tim Parker	32	€310k	2026

Market values and contract dates are current snapshots for players in the present squad — historical seasons may be incomplete. Not transfer advice.

Squad · 24 players

Player
EC Eric Maxim Choupo-Moting New York Red Bulls· FW	33	2760	17	4	13.00	8.08	42	59	+8.9
EF Emil Forsberg New York Red Bulls· MF	33	2875	11	8	10.12	8.48	55	66	+2.5
MS Mohammed Sofo New York Red Bulls· FW	25	1587	5	0	4.85	4.85	10	35	+0.2
CH Cameron Harper New York Red Bulls· MF	12	667	3	2	2.66	2.66	7	19	+0.3
DG Dennis Gjengaar New York Red Bulls· MF	21	762	2	1	2.64	2.64	6	12	-0.6
NE Noah Eile New York Red Bulls· DF	30	2610	1	0	1.91	1.91	6	19	-0.9
WC Wikelman Carmona New York Red Bulls· MF	34	1903	0	1	1.68	1.68	7	34	-1.7
JH Julian Hall New York Red Bulls· FW	26	676	1	0	1.58	1.58	5	16	-0.6
AH Alexander Hack New York Red Bulls· DF	22	1446	1	0	1.24	1.24	8	10	-0.2
TP Tim Parker New York Red Bulls· DF	13	872	1	0	1.01	1.01	3	4	0.0
DN Dylan Nealis New York Red Bulls· DF	18	1110	1	0	0.98	0.98	9	10	0.0
KD Kyle Duncan New York Red Bulls· DF	20	1535	0	3	0.86	0.86	20	13	-0.9
RE Raheem Edwards New York Red Bulls· DF	24	1426	0	0	0.73	0.73	17	11	-0.7
DE Daniel Edelman New York Red Bulls· MF	26	2026	1	0	0.72	0.72	7	14	+0.3
SN Serge Ngoma New York Red Bulls· FW	20	641	1	0	0.67	0.67	6	12	+0.3
PS Peter Stroud New York Red Bulls· MF	27	1731	0	3	0.61	0.61	17	16	-0.6
WB Wiktor Bogacz New York Red Bulls· FW	19	324	1	1	0.53	0.53	6	6	+0.5
SN Sean Nealis New York Red Bulls· DF	25	1855	0	0	0.33	0.33	3	5	-0.3
OV Omar Valencia New York Red Bulls· DF	20	1412	0	5	0.18	0.18	18	5	-0.2
RD Ronald Donkor New York Red Bulls· MF	20	885	0	2	0.16	0.16	16	5	-0.2
MM Marcelo Morales New York Red Bulls· DF	4	183	0	0	0.06	0.06	2	3	-0.1
GB Gustav Berggren New York Red Bulls· MF	6	355	0	0	0.00	0.00	6	0	0.0
CC Carlos Coronel New York Red Bulls· G	31	2790	0	0	0.00	0.00	0	0	0.0
AM AJ Marcucci New York Red Bulls· G	2	180	0	0	0.00	0.00	0	0	0.0

xA, xGCh, xGBld arenot provided by this season’s data source, so they are hidden here. What do these mean?

Standings

#17

New York Red Bulls

12W · 7D · 15LSeason Wrapped →

Points

43.4 xPts

Pts − xPts

-0.4

over/under

Goals

48 – 47

+1 GD

47.8

53.0 xGA

xGD

-5.2

-9.3 npxGD

PPDA

—

no pressing data

Profile — percentile rank vs league (100 = best)

Attack (xG)40

Defence40

Expected pts33

Goals47

Analyst — squad needs & recruitment priorities

Priority need:goalscorer

Weakest area: Attack — attacking output in the 13th percentile of the league.

Attacking output by area — percentile vs league

Attack

Midfield

Defence

Top-2 xG share

41%

balanced

Top-2 minutes

17%

Core avg age

26.7

4 aged 30+

Expiring soon

contracts

Recruitment priorities

goalscorerFW attacking output in the bottom 13% of the league

Data desk view: attacking output only (npxG + xA). Defensive and tactical quality are not modelled — pair with the eye test.

Checking access…

Simulate a signing in the Transfer Lab →

Recent form (last 5, oldest → newest)

lwlll

Clean sheets

Failed to score

Finishing (G − xG)

+0.2

Defence (xGA − GA)

+6.0

Home / Away split

	P	W–D–L	GF–GA	Pts	xG	xGA
Home	17	10–3–4	36–23	33	32.1	24.6
Away	17	2–4–11	12–24	10	15.6	28.4

Cumulative expected goals — attack vs defence

Season by season — league finish (top-4 shaded; current highlighted)

League position by matchday (1 = top)

xG by situation — attack (team colour) vs defence (red)

xG by 15-min window — for (team colour) vs against (red, below)

xG by game state — leading / level / trailing

Results — click a score for the match, a team for its page

MD	H/A	Opponent		Score	xG	xGA
–	A	FC Cincinnati	l	0–1	1.2	1.7
–	H	Nashville SC	w	2–0	2.2	0.9
–	A	Atlanta United	d	0–0	0.3	0.6
–	H	Orlando City SC	d	2–2	3.0	1.7
–	H	Toronto FC	w	2–1	1.9	0.5
–	A	New England Revolution	l	1–2	1.5	2.2
–	H	Chicago Fire	w	2–1	1.4	1.9
–	A	Orlando City SC	d	0–0	0.6	1.5
–	H	DC United	l	1–2	1.2	0.8
–	H	CF Montréal	w	1–0	1.3	0.6
–	A	Inter Miami CF	l	1–4	0.6	2.4
–	H	LA Galaxy	w	7–0	3.8	2.0
–	A	Nashville SC	l	1–2	0.6	1.9
–	A	New York City FC	l	0–2	0.4	1.7
–	A	DC United	w	2–0	1.2	0.8
–	H	Charlotte FC	w	4–2	2.2	2.3
–	H	Atlanta United	w	2–0	1.1	1.1
–	A	Austin FC	l	1–2	1.1	1.3
–	A	Toronto FC	d	1–1	1.7	1.1
–	H	Minnesota United	d	2–2	2.4	0.8
–	A	San Jose Earthquakes	d	1–1	0.8	1.5
–	A	Philadelphia Union	l	0–2	0.5	2.7
–	H	New England Revolution	w	5–3	3.6	2.3
–	H	Inter Miami CF	l	1–5	0.8	3.0
–	A	Chicago Fire	l	0–1	0.5	2.2
–	H	Real Salt Lake	w	2–1	3.9	1.1
–	H	Philadelphia Union	w	1–0	0.3	1.4
–	A	Charlotte FC	l	0–1	1.7	0.5
–	H	Columbus Crew	d	0–0	0.9	0.5
–	A	Portland Timbers	l	1–2	1.1	2.4
–	A	CF Montréal	w	2–0	1.6	2.1
–	H	New York City FC	l	2–3	1.4	2.9
–	H	FC Cincinnati	l	0–1	1.0	0.7
–	A	Columbus Crew	l	1–3	0.4	1.9

Squad planning — value, age and expiring contracts

Squad market value

€31.2M

18 players valued

Average age

25.3

23.2 value-weighted

Expiring by 2026

contracts

Expiring contracts

Player	Age	Value	Until
Julian Hall	17	€8.2M	2026
Emil Forsberg	33	€1.9M	2026
Kyle Duncan	27	€1.3M	2026
Sean Nealis	28	€1.1M	2026
Lewis Morgan	28	€1.1M	2026
Eric Maxim Choupo-Moting	36	€1.0M	2026
Mohammed Sofo	20	€925k	2026
Peter Stroud	23	€840k	2026
Raheem Edwards	30	€750k	2026
Tim Parker	32	€310k	2026

Market values and contract dates are current snapshots for players in the present squad — historical seasons may be incomplete. Not transfer advice.

Squad · 24 players

Player
EC Eric Maxim Choupo-Moting New York Red Bulls· FW	33	2760	17	4	13.00	8.08	42	59	+8.9
EF Emil Forsberg New York Red Bulls· MF	33	2875	11	8	10.12	8.48	55	66	+2.5
MS Mohammed Sofo New York Red Bulls· FW	25	1587	5	0	4.85	4.85	10	35	+0.2
CH Cameron Harper New York Red Bulls· MF	12	667	3	2	2.66	2.66	7	19	+0.3
DG Dennis Gjengaar New York Red Bulls· MF	21	762	2	1	2.64	2.64	6	12	-0.6
NE Noah Eile New York Red Bulls· DF	30	2610	1	0	1.91	1.91	6	19	-0.9
WC Wikelman Carmona New York Red Bulls· MF	34	1903	0	1	1.68	1.68	7	34	-1.7
JH Julian Hall New York Red Bulls· FW	26	676	1	0	1.58	1.58	5	16	-0.6
AH Alexander Hack New York Red Bulls· DF	22	1446	1	0	1.24	1.24	8	10	-0.2
TP Tim Parker New York Red Bulls· DF	13	872	1	0	1.01	1.01	3	4	0.0
DN Dylan Nealis New York Red Bulls· DF	18	1110	1	0	0.98	0.98	9	10	0.0
KD Kyle Duncan New York Red Bulls· DF	20	1535	0	3	0.86	0.86	20	13	-0.9
RE Raheem Edwards New York Red Bulls· DF	24	1426	0	0	0.73	0.73	17	11	-0.7
DE Daniel Edelman New York Red Bulls· MF	26	2026	1	0	0.72	0.72	7	14	+0.3
SN Serge Ngoma New York Red Bulls· FW	20	641	1	0	0.67	0.67	6	12	+0.3
PS Peter Stroud New York Red Bulls· MF	27	1731	0	3	0.61	0.61	17	16	-0.6
WB Wiktor Bogacz New York Red Bulls· FW	19	324	1	1	0.53	0.53	6	6	+0.5
SN Sean Nealis New York Red Bulls· DF	25	1855	0	0	0.33	0.33	3	5	-0.3
OV Omar Valencia New York Red Bulls· DF	20	1412	0	5	0.18	0.18	18	5	-0.2
RD Ronald Donkor New York Red Bulls· MF	20	885	0	2	0.16	0.16	16	5	-0.2
MM Marcelo Morales New York Red Bulls· DF	4	183	0	0	0.06	0.06	2	3	-0.1
GB Gustav Berggren New York Red Bulls· MF	6	355	0	0	0.00	0.00	6	0	0.0
CC Carlos Coronel New York Red Bulls· G	31	2790	0	0	0.00	0.00	0	0	0.0
AM AJ Marcucci New York Red Bulls· G	2	180	0	0	0.00	0.00	0	0	0.0

xA, xGCh, xGBld arenot provided by this season’s data source, so they are hidden here. What do these mean?