#15

New York Red Bulls

11W · 14D · 9LSeason Wrapped →

Points

56.0 xPts

Pts − xPts

-9.0

over/under

Goals

55 – 50

+5 GD

58.0

45.2 xGA

xGD

+12.8

+9.5 npxGD

PPDA

—

no pressing data

Profile — percentile rank vs league (100 = best)

Attack (xG)83

Defence86

Expected pts97

Goals62

Analyst — squad needs & recruitment priorities

Priority need:creative midfielder

Weakest area: Midfield — attacking output in the 10th percentile of the league.

Attacking output by area — percentile vs league

Attack

Midfield

Defence

Top-2 xG share

39%

balanced

Top-2 minutes

12%

Core avg age

25.8

1 aged 30+

Expiring soon

contracts

Recruitment priorities

creative midfielderMF attacking output in the bottom 10% of the league

ball-playing defenderDF attacking output in the bottom 28% of the league

Expiring: Sean Nealis (2026), Lewis Morgan (2026), Emil Forsberg (2026), Andres Reyes (2026), Peter Stroud (2026), Kyle Duncan (2026), Frankie Amaya (2026)

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)

dlwll

Clean sheets

Failed to score

Finishing (G − xG)

-3.0

Defence (xGA − GA)

-4.8

Home / Away split

	P	W–D–L	GF–GA	Pts	xG	xGA
Home	17	7–7–3	31–23	28	31.2	16.6
Away	17	4–7–6	24–27	19	26.7	28.6

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	Nashville SC	d	0–0	1.5	0.1
–	A	Houston Dynamo	w	2–1	1.0	1.2
–	H	FC Dallas	w	2–1	2.0	0.7
–	A	Columbus Crew	l	0–3	0.3	2.0
–	H	Inter Miami CF	w	4–0	1.3	0.3
–	A	Orlando City SC	d	1–1	1.8	0.8
–	A	FC Cincinnati	w	2–1	1.3	0.7
–	H	Chicago Fire	d	0–0	1.4	0.6
–	A	Los Angeles FC	d	2–2	1.2	1.6
–	H	Vancouver Whitecaps	d	1–1	1.2	1.1
–	A	Inter Miami CF	l	2–6	1.5	2.8
–	H	New England Revolution	w	4–2	3.4	1.2
–	A	DC United	w	4–1	2.3	3.0
–	A	New York City FC	l	1–2	1.1	1.2
–	H	Charlotte FC	w	3–1	1.4	0.6
–	H	Orlando City SC	w	1–0	0.8	0.4
–	A	New England Revolution	l	0–1	1.1	0.9
–	H	Nashville SC	d	0–0	2.0	0.3
–	A	CF Montréal	d	2–2	2.4	2.2
–	H	Toronto FC	w	3–0	1.5	0.2
–	H	DC United	d	2–2	1.9	0.6
–	A	Philadelphia Union	d	0–0	3.2	2.9
–	A	Colorado Rapids	d	1–1	1.6	2.0
–	H	CF Montréal	d	2–2	2.0	1.3
–	H	FC Cincinnati	w	3–1	1.9	0.5
–	A	Charlotte FC	d	1–1	2.1	1.2
–	H	Philadelphia Union	l	0–2	1.6	2.4
–	H	Sporting Kansas City	d	1–1	1.4	0.9
–	A	Chicago Fire	l	1–2	1.6	2.3
–	H	Atlanta United	d	2–2	3.3	1.7
–	H	New York City FC	l	1–5	1.6	2.2
–	A	Toronto FC	w	4–1	2.2	1.7
–	A	Atlanta United	l	1–2	0.5	2.0
–	H	Columbus Crew	l	2–3	2.4	1.7
–	A	Columbus Crew	w	1–0	0.0	0.0
–	H	Columbus Crew	d	2–2	0.0	0.0
–	A	Orlando City SC	w	1–0	0.0	0.0
–	A	LA Galaxy	l	1–2	0.0	0.0
195	A	New York City FC	w	2–0	0.0	0.0

Squad planning — value, age and expiring contracts

Squad market value

€29.5M

16 players valued

Average age

22.9

21.3 value-weighted

Expiring by 2025

contracts

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

Squad · 21 players

Player
LM Lewis Morgan New York Red Bulls· FW	34	2862	13	5	12.73	10.27	51	105	+2.7
EM Elias Manoel New York Red Bulls· FW	38	1613	8	1	10.71	9.07	13	61	-1.1
DV Dante Vanzeir New York Red Bulls· FW	37	2482	6	10	8.39	8.39	37	60	-2.4
EF Emil Forsberg New York Red Bulls· MF	24	1809	10	4	6.68	2.58	42	49	+7.4
CH Cameron Harper New York Red Bulls· FW	32	1882	5	0	4.59	4.59	28	45	+0.4
DG Dennis Gjengaar New York Red Bulls· FW	25	945	2	0	2.47	2.47	14	13	-0.5
WC Wikelman Carmona New York Red Bulls· MF	29	1677	3	3	2.04	2.04	26	38	+1.0
CB Cory Burke New York Red Bulls· FW	20	337	1	1	1.90	1.90	4	12	-0.9
DN Dylan Nealis New York Red Bulls· DF	35	2778	0	3	1.88	1.88	36	36	-1.9
SN Sean Nealis New York Red Bulls· DF	33	2659	1	1	1.36	1.36	6	20	-0.4
FA Frankie Amaya New York Red Bulls· MF	20	1610	1	2	0.89	0.89	18	21	+0.1
FC Felipe Carballo New York Red Bulls· MF	11	667	2	0	0.76	0.76	6	9	+1.2
JT John Tolkin New York Red Bulls· DF	33	2839	2	2	0.65	0.65	62	16	+1.4
AR Andres Reyes New York Red Bulls· DF	27	1846	2	0	0.52	0.52	3	10	+1.5
NE Noah Eile New York Red Bulls· DF	34	2588	0	1	0.47	0.47	14	15	-0.5
KD Kyle Duncan New York Red Bulls· DF	21	1290	1	1	0.47	0.47	12	11	+0.5
DE Daniel Edelman New York Red Bulls· MF	36	2974	0	0	0.31	0.31	31	11	-0.3
PS Peter Stroud New York Red Bulls· MF	18	1058	0	1	0.29	0.29	4	4	-0.3
RD Ronald Donkor New York Red Bulls· MF	21	1017	0	0	0.03	0.03	11	1	0.0
CC Carlos Coronel New York Red Bulls· G	32	2880	0	0	0.00	0.00	1	0	0.0
RM Ryan Meara New York Red Bulls· G	7	630	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

#15

New York Red Bulls

11W · 14D · 9LSeason Wrapped →

Points

56.0 xPts

Pts − xPts

-9.0

over/under

Goals

55 – 50

+5 GD

58.0

45.2 xGA

xGD

+12.8

+9.5 npxGD

PPDA

—

no pressing data

Profile — percentile rank vs league (100 = best)

Attack (xG)83

Defence86

Expected pts97

Goals62

Analyst — squad needs & recruitment priorities

Priority need:creative midfielder

Weakest area: Midfield — attacking output in the 10th percentile of the league.

Attacking output by area — percentile vs league

Attack

Midfield

Defence

Top-2 xG share

39%

balanced

Top-2 minutes

12%

Core avg age

25.8

1 aged 30+

Expiring soon

contracts

Recruitment priorities

creative midfielderMF attacking output in the bottom 10% of the league

ball-playing defenderDF attacking output in the bottom 28% of the league

Expiring: Sean Nealis (2026), Lewis Morgan (2026), Emil Forsberg (2026), Andres Reyes (2026), Peter Stroud (2026), Kyle Duncan (2026), Frankie Amaya (2026)

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)

dlwll

Clean sheets

Failed to score

Finishing (G − xG)

-3.0

Defence (xGA − GA)

-4.8

Home / Away split

	P	W–D–L	GF–GA	Pts	xG	xGA
Home	17	7–7–3	31–23	28	31.2	16.6
Away	17	4–7–6	24–27	19	26.7	28.6

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	Nashville SC	d	0–0	1.5	0.1
–	A	Houston Dynamo	w	2–1	1.0	1.2
–	H	FC Dallas	w	2–1	2.0	0.7
–	A	Columbus Crew	l	0–3	0.3	2.0
–	H	Inter Miami CF	w	4–0	1.3	0.3
–	A	Orlando City SC	d	1–1	1.8	0.8
–	A	FC Cincinnati	w	2–1	1.3	0.7
–	H	Chicago Fire	d	0–0	1.4	0.6
–	A	Los Angeles FC	d	2–2	1.2	1.6
–	H	Vancouver Whitecaps	d	1–1	1.2	1.1
–	A	Inter Miami CF	l	2–6	1.5	2.8
–	H	New England Revolution	w	4–2	3.4	1.2
–	A	DC United	w	4–1	2.3	3.0
–	A	New York City FC	l	1–2	1.1	1.2
–	H	Charlotte FC	w	3–1	1.4	0.6
–	H	Orlando City SC	w	1–0	0.8	0.4
–	A	New England Revolution	l	0–1	1.1	0.9
–	H	Nashville SC	d	0–0	2.0	0.3
–	A	CF Montréal	d	2–2	2.4	2.2
–	H	Toronto FC	w	3–0	1.5	0.2
–	H	DC United	d	2–2	1.9	0.6
–	A	Philadelphia Union	d	0–0	3.2	2.9
–	A	Colorado Rapids	d	1–1	1.6	2.0
–	H	CF Montréal	d	2–2	2.0	1.3
–	H	FC Cincinnati	w	3–1	1.9	0.5
–	A	Charlotte FC	d	1–1	2.1	1.2
–	H	Philadelphia Union	l	0–2	1.6	2.4
–	H	Sporting Kansas City	d	1–1	1.4	0.9
–	A	Chicago Fire	l	1–2	1.6	2.3
–	H	Atlanta United	d	2–2	3.3	1.7
–	H	New York City FC	l	1–5	1.6	2.2
–	A	Toronto FC	w	4–1	2.2	1.7
–	A	Atlanta United	l	1–2	0.5	2.0
–	H	Columbus Crew	l	2–3	2.4	1.7
–	A	Columbus Crew	w	1–0	0.0	0.0
–	H	Columbus Crew	d	2–2	0.0	0.0
–	A	Orlando City SC	w	1–0	0.0	0.0
–	A	LA Galaxy	l	1–2	0.0	0.0
195	A	New York City FC	w	2–0	0.0	0.0

Squad planning — value, age and expiring contracts

Squad market value

€29.5M

16 players valued

Average age

22.9

21.3 value-weighted

Expiring by 2025

contracts

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

Squad · 21 players

Player
LM Lewis Morgan New York Red Bulls· FW	34	2862	13	5	12.73	10.27	51	105	+2.7
EM Elias Manoel New York Red Bulls· FW	38	1613	8	1	10.71	9.07	13	61	-1.1
DV Dante Vanzeir New York Red Bulls· FW	37	2482	6	10	8.39	8.39	37	60	-2.4
EF Emil Forsberg New York Red Bulls· MF	24	1809	10	4	6.68	2.58	42	49	+7.4
CH Cameron Harper New York Red Bulls· FW	32	1882	5	0	4.59	4.59	28	45	+0.4
DG Dennis Gjengaar New York Red Bulls· FW	25	945	2	0	2.47	2.47	14	13	-0.5
WC Wikelman Carmona New York Red Bulls· MF	29	1677	3	3	2.04	2.04	26	38	+1.0
CB Cory Burke New York Red Bulls· FW	20	337	1	1	1.90	1.90	4	12	-0.9
DN Dylan Nealis New York Red Bulls· DF	35	2778	0	3	1.88	1.88	36	36	-1.9
SN Sean Nealis New York Red Bulls· DF	33	2659	1	1	1.36	1.36	6	20	-0.4
FA Frankie Amaya New York Red Bulls· MF	20	1610	1	2	0.89	0.89	18	21	+0.1
FC Felipe Carballo New York Red Bulls· MF	11	667	2	0	0.76	0.76	6	9	+1.2
JT John Tolkin New York Red Bulls· DF	33	2839	2	2	0.65	0.65	62	16	+1.4
AR Andres Reyes New York Red Bulls· DF	27	1846	2	0	0.52	0.52	3	10	+1.5
NE Noah Eile New York Red Bulls· DF	34	2588	0	1	0.47	0.47	14	15	-0.5
KD Kyle Duncan New York Red Bulls· DF	21	1290	1	1	0.47	0.47	12	11	+0.5
DE Daniel Edelman New York Red Bulls· MF	36	2974	0	0	0.31	0.31	31	11	-0.3
PS Peter Stroud New York Red Bulls· MF	18	1058	0	1	0.29	0.29	4	4	-0.3
RD Ronald Donkor New York Red Bulls· MF	21	1017	0	0	0.03	0.03	11	1	0.0
CC Carlos Coronel New York Red Bulls· G	32	2880	0	0	0.00	0.00	1	0	0.0
RM Ryan Meara New York Red Bulls· G	7	630	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?