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MLS

USA  · Season 2026
2026 2025
64.10%
1X2 accuracy · 39 predictions (3 months)

League Table + end of season projections

Eastern Conference
# Team P W D L GF–GA GD Pts Form Play Off: 1/8 Play Off: 1/16
1 Nashville SC 25 16 6 3 50–21 +29 54
P S P V V
100% —
2 Inter Miami 25 12 9 4 61–46 +15 45
P P P V S
91.41% 97.88%
3 New England Revolution 25 13 4 8 41–31 +10 43
V V S V P
69.74% 88.21%
4 Charlotte 25 11 7 7 45–36 +9 40
P V P V V
44.48% 69.96%
5 Chicago Fire 24 11 6 7 45–35 +10 39
S P P P P
27.11% 51.65%
6 Orlando City SC 25 10 4 11 44–56 -12 34
V V V P V
<1% 3.36%
7 Philadelphia Union 25 9 6 10 46–39 +7 33
V V V V P
10.75% 29.57%
8 New York City FC 25 8 8 9 39–33 +6 32
V S P P P
<1% 2.93%
9 FC Cincinnati 24 8 8 8 52–59 -7 32
P S S P V
<1% <1%
10 New York Red Bulls 25 8 6 11 33–48 -15 30
V S P S P
— <1%
11 DC United 24 6 11 7 30–37 -7 29
P V P S S
— <1%
12 Toronto FC 25 6 11 8 38–46 -8 29
S V P P V
— <1%
13 Columbus Crew 25 6 5 14 35–42 -7 23
S S V S S
— —
14 Atlanta United FC 25 6 5 14 29–43 -14 23
P S P S V
— —
15 CF Montreal 25 5 6 14 31–51 -20 21
S S S S P
— —
Play Off: 1/8 Play Off: 1/16 % = probability of reaching that zone or better · 10,000 simulations · 15 Sep 2026
Western Conference
# Team P W D L GF–GA GD Pts Form Play Off: 1/8 Play Off: 1/16
1 Vancouver Whitecaps 24 14 4 6 53–23 +30 46
S V S V V
98.77% 99.79%
2 FC Dallas 25 12 7 6 49–42 +7 43
V V V P S
74.74% 90.47%
3 Houston Dynamo 25 13 4 8 32–28 +4 43
S V P P S
77.20% 92.14%
4 San Jose Earthquakes 25 12 5 8 44–36 +8 41
V V P P S
17.22% 38.89%
5 St. Louis City 25 11 8 6 42–35 +7 41
V P V P V
68.67% 87.01%
6 Los Angeles FC 26 11 7 8 41–27 +14 40
S V P P P
15.79% 36.33%
7 Colorado Rapids 25 11 2 12 33–32 +1 35
V P S V S
2.17% 8.28%
8 Portland Timbers 25 9 5 11 47–47 +0 32
S P V S P
<1% 2.36%
9 San Diego 25 8 6 11 42–42 +0 30
S S S V V
<1% <1%
10 Los Angeles Galaxy 26 7 9 10 31–40 -9 30
P S V S P
— <1%
11 Real Salt Lake 24 8 5 11 37–39 -2 29
S S P S S
<1% <1%
12 Minnesota United FC 25 7 8 10 37–43 -6 29
S S S P V
<1% <1%
13 Austin 25 7 8 10 32–44 -12 29
V P P V P
<1% <1%
14 Seattle Sounders 23 7 7 9 25–30 -5 28
P P P P S
<1% <1%
15 Sporting Kansas City 24 5 3 16 26–59 -33 18
V S S S P
— —
Play Off: 1/8 Play Off: 1/16 % = probability of reaching that zone or better · 10,000 simulations · 15 Sep 2026

Upcoming matches

September 19, 2026
September 20, 2026

Recent results

September 14, 2026
September 13, 2026
13 Sep Regular Season - 25
Chicago Fire 1–2 New England Revolution
13 Sep Regular Season - 25
Los Angeles Galaxy 1–1 Seattle Sounders
13 Sep Regular Season - 25
San Jose Earthquakes 1–0 Houston Dynamo
13 Sep Regular Season - 25
Colorado Rapids 1–0 CF Montreal
13 Sep Regular Season - 25
Real Salt Lake 0–2 New York City FC
13 Sep Regular Season - 25
St. Louis City 4–2 Minnesota United FC
1
13 Sep Regular Season - 25
Sporting Kansas City 3–1 Los Angeles FC
13 Sep Regular Season - 25
FC Dallas 2–1 Portland Timbers
1
13 Sep Regular Season - 25
FC Cincinnati 3–3 Charlotte
13 Sep Regular Season - 25
Orlando City SC 3–0 Toronto FC
1
13 Sep Regular Season - 25
DC United 0–0 Atlanta United FC
13 Sep Regular Season - 25
Inter Miami 2–2 Nashville SC
13 Sep Regular Season - 25
Columbus Crew 0–1 New York Red Bulls
September 10, 2026
10 Sep Regular Season - 24
San Diego 2–3 San Jose Earthquakes
10 Sep Regular Season - 24
Los Angeles FC 2–0 New York Red Bulls
10 Sep Regular Season - 24
Vancouver Whitecaps 3–0 Los Angeles Galaxy
1
10 Sep Regular Season - 24
Portland Timbers 2–2 St. Louis City
10 Sep Regular Season - 24
Chicago Fire 1–1 Inter Miami
10 Sep Regular Season - 24
Austin 1–1 Colorado Rapids
10 Sep Regular Season - 24
Houston Dynamo 2–1 Real Salt Lake
10 Sep Regular Season - 24
Minnesota United FC 1–2 FC Dallas
10 Sep Regular Season - 24
New York City FC 1–2 New England Revolution
10 Sep Regular Season - 24
Philadelphia Union 5–0 FC Cincinnati
1
10 Sep Regular Season - 24
DC United 2–1 Columbus Crew
10 Sep Regular Season - 24
CF Montreal 1–2 Charlotte
10 Sep Regular Season - 24
Toronto FC 2–1 Nashville SC
10 Sep Regular Season - 24
Atlanta United FC 2–3 Orlando City SC
September 06, 2026

Player statistics

⚽ Top scorers
1 L. Messi
L. Messi
Inter Miami
18
2 P. Musa
P. Musa
FC Dallas
18
3 N. Fernández Mercau
N. Fernández Mercau
New York City FC
14
4 B. White
B. White
Vancouver Whitecaps
13
5 H. Cuypers
H. Cuypers
Chicago Fire
13
6 S. Surridge
S. Surridge
Nashville SC
13
7 P. Owusu
P. Owusu
CF Montreal
13
8 D. Bouanga
D. Bouanga
Los Angeles FC
12
9 Guilherme
Guilherme
Houston Dynamo
12
10 Evander
Evander
FC Cincinnati
12
👟 Assists
1 L. Messi
L. Messi
Inter Miami
10
2 A. Dreyer
A. Dreyer
San Diego
10
3 Son Heung-Min
Son Heung-Min
Los Angeles FC
9
4 J. Pereyra
J. Pereyra
Minnesota United FC
9
5 C. Espinoza
C. Espinoza
Nashville SC
9
6 Evander
Evander
FC Cincinnati
8
7 P. Zinckernagel
P. Zinckernagel
Chicago Fire
8
8 T. Segovia
T. Segovia
Inter Miami
8
9 David Pereira da Costa
David Pereira da Costa
Portland Timbers
7
10 A. Rusnák
A. Rusnák
Seattle Sounders
7
🟨 Yellow cards
1 C. Durkin
C. Durkin
St. Louis City
10
2 B. Raines
B. Raines
New England Revolution
9
3 A. Westwood
A. Westwood
Charlotte
8
4 N. Fernández Mercau
N. Fernández Mercau
New York City FC
8
5 Bryan Josías Ramírez León
Bryan Josías Ramírez León
FC Cincinnati
8
6 T. Segovia
T. Segovia
Inter Miami
8
7 J. Díaz
J. Díaz
Minnesota United FC
8
8 H. Ojediran
H. Ojediran
Colorado Rapids
8
9 J. Atencio
J. Atencio
Colorado Rapids
8
10 Felipe Andrade
Felipe Andrade
Houston Dynamo
8
🟥 Red cards
1 Y. Bright
Y. Bright
Inter Miami
2
2 R. Holding
R. Holding
Colorado Rapids
2
3 G. Valenzuela
G. Valenzuela
FC Cincinnati
2
4 C. Garcés
C. Garcés
Los Angeles Galaxy
1
5 B. Vera
B. Vera
CF Montreal
1
6 M. Guilavogui
M. Guilavogui
Real Salt Lake
1
7 Guilherme Biro
Guilherme Biro
Austin
1
8 K. Miller
K. Miller
Portland Timbers
1
9 W. Zimmerman
W. Zimmerman
Toronto FC
1
10 E. Mihaj
E. Mihaj
Atlanta United FC
1

Model calibration for this league

Probability band Sample Expected (mid) Actual Δ
50–60%% 21 55.00% 47.6% -7.40%
60–70%% 44 65.00% 70.5% +5.50%
70–100%% 12 85.00% 66.7% -18.30%
Based on 77 verified predictions · Δ ≤ 5% = excellent calibration

xG: who scores more (or less) than they deserve

# Team Goals xG Δ
1 Nashville SC Nashville SC 47 28.37 +18.63
2 FC Dallas FC Dallas 41 29.37 +11.63
3 FC Cincinnati FC Cincinnati 45 34.46 +10.54
4 Inter Miami Inter Miami 54 44.59 +9.41
5 Toronto FC Toronto FC 32 23.18 +8.82
6 Portland Timbers Portland Timbers 39 30.79 +8.21
7 San Diego San Diego 40 31.89 +8.11
8 Charlotte Charlotte 40 32.54 +7.46
9 Los Angeles FC Los Angeles FC 36 29.73 +6.27
10 New York City FC New York City FC 36 29.76 +6.24
11 Houston Dynamo Houston Dynamo 30 23.77 +6.23
12 Austin Austin 28 21.85 +6.15
13 Orlando City SC Orlando City SC 36 30.61 +5.39
14 Columbus Crew Columbus Crew 29 24.61 +4.39
15 New England Revolution New England Revolution 36 32.09 +3.91
16 Real Salt Lake Real Salt Lake 34 30.73 +3.27
17 Vancouver Whitecaps Vancouver Whitecaps 48 44.81 +3.19
18 Chicago Fire Chicago Fire 39 36.66 +2.34
19 St. Louis City St. Louis City 33 31.00 +2.00
20 Sporting Kansas City Sporting Kansas City 20 18.37 +1.63
21 Colorado Rapids Colorado Rapids 31 30.42 +0.58
22 San Jose Earthquakes San Jose Earthquakes 37 37.85 -0.85
23 CF Montreal CF Montreal 30 31.12 -1.12
24 DC United DC United 28 30.18 -2.18
25 Seattle Sounders Seattle Sounders 24 26.51 -2.51
26 Atlanta United FC Atlanta United FC 25 27.89 -2.89
27 Philadelphia Union Philadelphia Union 34 37.40 -3.40
28 Los Angeles Galaxy Los Angeles Galaxy 28 32.19 -4.19
29 Minnesota United FC Minnesota United FC 30 35.30 -5.30
30 New York Red Bulls New York Red Bulls 32 37.56 -5.56
Δ = Goals scored − accumulated xG · green = overperforms, red = underperforms
Frequently Asked Questions
What predictions are available for MLS?
For MLS, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.
How accurate are predictions for MLS?
Accuracy for MLS is tracked match by match and shown on this page. The model is calibrated specifically for MLS using per-league historical data.
How are MLS season projections calculated?
Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.