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MLS

USA  · Season 2026
2026 2025
63.20%
1X2 accuracy · 38 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 14 10 3 1 31–11 +20 33
V V V P P
99.81% >99%
2 Inter Miami 15 9 4 2 39–28 +11 31
V V V V S
93.33% 98.05%
3 Chicago Fire 14 8 2 4 27–16 +11 26
V V V S S
74.99% 88.59%
4 New England Revolution 14 8 1 5 22–18 +4 25
S V S V V
33.93% 56.88%
5 New York Red Bulls 15 6 4 5 25–32 -7 22
V P V V S
3.64% 10.52%
6 Charlotte 15 6 3 6 24–23 +1 21
V V S P S
3.06% 9.57%
7 FC Cincinnati 15 5 5 5 36–37 -1 20
V P S P V
7.35% 18.55%
8 New York City FC 15 5 4 6 25–21 +4 19
S P V V S
1.42% 4.84%
9 DC United 15 4 6 5 21–25 -4 18
P P S P V
1.75% 6.24%
10 Columbus Crew 15 4 4 7 21–23 -2 16
V P S S S
<1% 1.76%
11 Toronto FC 14 3 5 6 22–29 -7 14
S S S P S
<1% <1%
12 CF Montreal 14 4 2 8 22–31 -9 14
P S P V S
<1% 1.47%
13 Orlando City SC 15 4 2 9 23–44 -21 14
S P V S V
<1% <1%
14 Atlanta United FC 14 3 2 9 14–23 -9 11
S P S V V
<1% <1%
15 Philadelphia Union 15 1 4 10 18–30 -12 7
S P S S P
— —
Play Off: 1/8 Play Off: 1/16 % = probability of reaching that zone or better · 10,000 simulations · 14 Jun 2026
Western Conference
# Team P W D L GF–GA GD Pts Form Play Off: 1/8 Play Off: 1/16
1 Vancouver Whitecaps 14 10 2 2 34–12 +22 32
V S V P P
99.04% 99.73%
2 San Jose Earthquakes 15 10 2 3 34–15 +19 32
V S S P P
95.86% 98.84%
3 Real Salt Lake 14 8 2 4 26–19 +7 26
P V V S V
54.21% 74.68%
4 FC Dallas 15 7 4 4 30–22 +8 25
V V S V V
41.90% 66.02%
5 Los Angeles FC 15 7 3 5 24–17 +7 24
V S S S P
5.42% 14.70%
6 Seattle Sounders 13 7 3 3 17–11 +6 24
S S V P P
55.28% 74.66%
7 Houston Dynamo 14 7 1 6 19–23 -4 22
P V S V V
12.62% 28.27%
8 Minnesota United FC 15 6 4 5 18–22 -4 22
P S S P V
7.96% 21.20%
9 Los Angeles Galaxy 15 5 5 5 22–22 +0 20
P V S V P
4.40% 12.44%
10 San Diego 15 4 5 6 30–27 +3 17
S P V P P
1.29% 4.59%
11 Colorado Rapids 15 5 1 9 25–24 +1 16
S S V S S
<1% <1%
12 St. Louis City 14 4 4 6 16–20 -4 16
V P V V S
1.17% 4.46%
13 Portland Timbers 14 4 2 8 22–28 -6 14
S S P V S
<1% 2.48%
14 Austin 15 3 5 7 19–31 -12 14
S S S P V
— <1%
15 Sporting Kansas City 14 3 2 9 14–36 -22 11
S V V S P
— —
Play Off: 1/8 Play Off: 1/16 % = probability of reaching that zone or better · 10,000 simulations · 14 Jun 2026

Upcoming matches

July 17, 2026
July 18, 2026
July 23, 2026

Recent results

May 25, 2026
May 24, 2026
May 23, 2026
May 18, 2026
May 17, 2026
May 16, 2026
May 14, 2026

Player statistics

⚽ Top scorers
1 L. Messi
L. Messi
Inter Miami
13
2 H. Cuypers
H. Cuypers
Chicago Fire
13
3 P. Musa
P. Musa
FC Dallas
12
4 P. Judd
P. Judd
San Jose Earthquakes
11
5 M. Ingvartsen
M. Ingvartsen
San Diego
11
6 M. Ojeda
M. Ojeda
Orlando City SC
11
7 B. White
B. White
Vancouver Whitecaps
10
8 N. Fernández Mercau
N. Fernández Mercau
New York City FC
10
9 J. Hall
J. Hall
New York Red Bulls
9
10 S. Surridge
S. Surridge
Nashville SC
9
👟 Assists
1 Son Heung-Min
Son Heung-Min
Los Angeles FC
8
2 L. Messi
L. Messi
Inter Miami
7
3 A. Dreyer
A. Dreyer
San Diego
7
4 Evander
Evander
FC Cincinnati
6
5 P. Owusu
P. Owusu
CF Montreal
6
6 P. Zinckernagel
P. Zinckernagel
Chicago Fire
6
7 C. Espinoza
C. Espinoza
Nashville SC
6
8 L. Langoni
L. Langoni
New England Revolution
6
9 T. Segovia
T. Segovia
Inter Miami
6
10 M. Moralez
M. Moralez
New York City FC
6
🟨 Yellow cards
1 T. Segovia
T. Segovia
Inter Miami
7
2 W. Zaha
W. Zaha
Charlotte
7
3 C. Durkin
C. Durkin
St. Louis City
6
4 Bryan Josías Ramírez León
Bryan Josías Ramírez León
FC Cincinnati
6
5 A. Westwood
A. Westwood
Charlotte
6
6 H. Ojediran
H. Ojediran
Colorado Rapids
6
7 J. Díaz
J. Díaz
Minnesota United FC
6
8 J. Atencio
J. Atencio
Colorado Rapids
6
9 Felipe Andrade
Felipe Andrade
Houston Dynamo
6
10 O. Makhanya
O. Makhanya
Philadelphia Union
5

Model calibration for this league

Probability band Sample Expected (mid) Actual Δ
50–60%% 21 55.00% 47.6% -7.40%
60–70%% 14 65.00% 85.7% +20.70%
70–100%% 3 85.00% 66.7% -18.30%
Based on 38 verified predictions · Δ ≤ 5% = excellent calibration

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

# Team Goals xG Δ
1 Nashville SC Nashville SC 31 18.11 +12.89
2 FC Cincinnati FC Cincinnati 36 26.42 +9.58
3 San Diego San Diego 30 21.96 +8.04
4 FC Dallas FC Dallas 30 23.13 +6.87
5 Inter Miami Inter Miami 39 32.59 +6.41
6 Toronto FC Toronto FC 22 15.71 +6.29
7 New England Revolution New England Revolution 22 15.86 +6.14
8 New York City FC New York City FC 25 19.22 +5.78
9 San Jose Earthquakes San Jose Earthquakes 34 28.31 +5.69
10 Colorado Rapids Colorado Rapids 25 19.91 +5.09
11 Portland Timbers Portland Timbers 22 16.93 +5.07
12 Austin Austin 19 14.68 +4.32
13 Houston Dynamo Houston Dynamo 19 14.77 +4.23
14 Los Angeles FC Los Angeles FC 24 20.17 +3.83
15 Real Salt Lake Real Salt Lake 26 22.27 +3.73
16 Orlando City SC Orlando City SC 23 19.56 +3.44
17 Columbus Crew Columbus Crew 21 18.06 +2.94
18 Charlotte Charlotte 24 22.10 +1.90
19 Sporting Kansas City Sporting Kansas City 14 12.48 +1.52
20 CF Montreal CF Montreal 22 20.86 +1.14
21 DC United DC United 21 20.43 +0.57
22 Chicago Fire Chicago Fire 27 26.54 +0.46
23 New York Red Bulls New York Red Bulls 25 24.84 +0.16
24 Vancouver Whitecaps Vancouver Whitecaps 34 34.28 -0.28
25 Los Angeles Galaxy Los Angeles Galaxy 22 23.93 -1.93
26 Seattle Sounders Seattle Sounders 17 19.13 -2.13
27 Atlanta United FC Atlanta United FC 14 16.42 -2.42
28 St. Louis City St. Louis City 16 18.98 -2.98
29 Philadelphia Union Philadelphia Union 18 21.65 -3.65
30 Minnesota United FC Minnesota United FC 18 22.10 -4.10
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.