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MLS · Regular Season - 6 April 05, 2026 01:30
#9 · 33 pts
1 – 1
Final score
#2 · 47 pts
H. Wolf (ast. M. Moralez) 50'
90' (ast. L. MacNaughton) B. McSorley
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The ForzaPitch pre-match prediction gave New York City FC a 45% win probability (draw 28%, St. Louis City 26%). The final result was New York City FC 1–1 St. Louis City.

Match statistics
11
Total shots
9
7
Shots on target
3
1.18
Actual xG
1.06
2
Saves
6
59%
Possession
41%
2
Corners
3
10
Tackles
14
1
🟨 Yellow cards
3
Match Events
43'
Daniel Edelman
⚽H. Wolf · ast. M. Moralez
50'
56'
Jaziel Orozco
Hannes Wolf
58'
61'
Dante Polvara
65'
M. Perez / C. Durkin ↕
71'
C. Teuchert / S. Cordova ↕
71'
L. MacNaughton / D. Edelman ↕
↕ T. Gray / Raul Gustavo
75'
↕ K. Parks / J. Shore
75'
80'
M. Joyner / Rafael Santos ↕
80'
B. McSorley / S. Becher ↕
↕ A. Ojeda / Talles Magno
87'
↕ A. O'Neill / N. Cavallo
88'
90'
ast. L. MacNaughton · B. McSorley⚽
Pre-match prediction
45.13%
New
28.03%
X ←
26.85%
St.
we assigned to the actual result (Draw) 28.03% (low confidence)
Expected vs actual xG
Exp.
Actual
Δ
New
2.33
1.18
-1.15
St.
0.82
1.06
+0.24
xG dominance was balanced (1.18 – 1.06). The final result reflects the playing dominance. The model's xG estimates diverged from reality.
League Table
#Team GPts
1 Nashville SC Nashville SC 27 60
2 New England Revolution New England Revolution 27 46
3 Inter Miami Inter Miami 27 46
4 Charlotte Charlotte 27 43
5 Chicago Fire Chicago Fire 26 42
6 Philadelphia Union Philadelphia Union 27 39
7 Orlando City SC Orlando City SC 27 34
8 New York Red Bulls New York Red Bulls 27 33
9 New York City FC New York City FC 27 33
10 FC Cincinnati FC Cincinnati 26 33
11 DC United DC United 26 30
12 Columbus Crew Columbus Crew 27 29
13 Toronto FC Toronto FC 27 29
14 Atlanta United FC Atlanta United FC 27 27
15 CF Montreal CF Montreal 27 24
Lineups
49
G 7.20
22
D 6.70
5 Kai Trewin Kai Trewin D 6.90
13 Thiago Martins Thiago Martins D 7.50
24 T. Gray T. Gray 75' D 7.20
55 Keaton Parks Keaton Parks 75' M 6.60
21 Aiden O'Neill Aiden O'Neill 88' M 7.00
17 H. Wolf H. Wolf 1 ⚽ M 7.30
10 M. Moralez M. Moralez 1 👟 M 6.60
26 A. Ojeda A. Ojeda 87' M 7.30
7 N. Fernández Mercau N. Fernández Mercau F 7.30
Bench
87 Arnau  Farnos Arnau Farnos F
2 Nico Cavallo Nico Cavallo 11' D 6.30
34 Raul Gustavo Raul Gustavo 24' D 6.70
99 S. Reid S. Reid F
19
Strahinja Tanasijević D
11 Talles Magno Talles Magno 12' F 6.50
1
G 7.20
21 D. Polvara D. Polvara D 7.30
32 T. Baumgartl T. Baumgartl D 6.30
99 J. Orozco J. Orozco D 6.90
20
Rafael Santos
24 D. Edelman D. Edelman 71' M 6.30
8 C. Durkin C. Durkin 65' M 6.30
6 C. Wallem C. Wallem M 6.30
17 M. Hartel M. Hartel F 6.90
16 S. Córdova S. Córdova 71' F 6.60
11 S. Becher S. Becher 80' F 6.20
Bench
80 Brendan McSorley Brendan McSorley 1 ⚽ 19' F 7.50
36 Cedric Teuchert Cedric Teuchert 28' F 6.70
77 Jeong Sang-Bin Jeong Sang-Bin F
5 L. MacNaughton L. MacNaughton 1 👟 28' D 8.20
59 M. Joyner M. Joyner 19' M 6.70
28 M. Perez M. Perez 34' M 6.60
14 T. Totland T. Totland D
Best on the pitch
L. MacNaughton
L. MacNaughton
D · St.
8.20
1 👟
· 24 pass
Brendan McSorley
Brendan McSorley
F · St.
7.50
1 ⚽
1 shots · 1 pass
Thiago Martins
Thiago Martins
D · New
7.50
· 89 pass
H. Wolf
H. Wolf
M · New
7.30
1 ⚽
1 shots · 27 pass
A. Ojeda
A. Ojeda
M · New
7.30
1 shots · 32 pass
N. Fernández Mercau
N. Fernández Mercau
F · New
7.30
3 shots · 33 pass
New York City FC New York City FC — Player statistics
Team PosMinRating ⚽👟 ShotsPassAcc% TckYCRC
G 99 7.20 — — — 35 30% — — —
D 99 6.70 — — — 53 47% 2 — —
Kai Trewin D 99 6.90 — — — 93 83% — — —
Thiago Martins D 99 7.50 — — — 89 81% — — —
T. Gray D 75 7.20 — — 1 60 51% 2 — —
Keaton Parks M 75 6.60 — — 1 52 48% — — —
Aiden O'Neill M 88 7.00 — — — 81 73% 1 — —
H. Wolf M 99 7.30 1 — 1 27 22% 2 1 —
M. Moralez M 99 6.60 — 1 2 59 49% 1 — —
A. Ojeda M 87 7.30 — — 1 32 29% — — —
N. Fernández Mercau F 99 7.30 — — 3 33 26% 1 — —
Nico Cavallo D 11 6.30 — — — 4 3% — — —
Raul Gustavo D 24 6.70 — — — 9 8% 1 — —
Talles Magno F 12 6.50 — — 2 3 1% — — —
St. Louis City St. Louis City — Player statistics
Team PosMinRating ⚽👟 ShotsPassAcc% TckYCRC
G 99 7.20 — — — 25 22% — — —
D. Polvara D 99 7.30 — — 1 57 50% 2 1 —
T. Baumgartl D 99 6.30 — — — 66 62% — — —
J. Orozco D 99 6.90 — — — 56 48% 3 1 —
Rafael Santos — — — — — — — — — —
D. Edelman M 71 6.30 — — 1 40 32% — 1 —
C. Durkin M 65 6.30 — — — 32 30% — — —
C. Wallem M 99 6.30 — — — 32 27% 1 — —
M. Hartel F 99 6.90 — — 4 37 26% 2 — —
S. Córdova F 71 6.60 — — 1 9 5% 1 — —
S. Becher F 80 6.20 — — — 26 18% 2 — —
Brendan McSorley F 19 7.50 1 — 1 1 — — — —
Cedric Teuchert F 28 6.70 — — 1 2 2% — — —
L. MacNaughton D 28 8.20 — 1 — 24 22% 1 — —
M. Joyner M 19 6.70 — — — 5 3% 1 — —
M. Perez M 34 6.60 — — — 13 12% 1 — —
Frequently Asked Questions
What was the final score of New York City FC vs St. Louis City?
The final score was New York City FC 1–1 St. Louis City.
What did the model predict before New York City FC vs St. Louis City?
The model assigned 45% probability to a New York City FC win, 28% to a draw, and 26% to an St. Louis City win.