USA NASL Soccer Data API
Integrate live scores, fixtures, standings, lineups, and odds for USA NASL through one fast, reliable, developer-friendly REST & WebSocket API. 8 clubs, 1 seasons of history, one consistent JSON schema.
No credit card required
The same schema powers USA NASL and 1,000+ competitions worldwide.
Access Full Data of USA NASL Matches
Every USA NASL match, table, and transfer flows through the same clean JSON — no scraping, no HTML parsing, no manual updates. Pick an endpoint, send one request, and get structured data you can ship straight into your product.
GET
https://data.anysport.io/v1/soccer/livescore?match_id=as_0059673e806d4a0788a0d38a6a72f500&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/livescore',
headers={'apikey': 'YOUR_API_KEY'},
params={'match_id': 'as_0059673e806d4a0788a0d38a6a72f500', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"match_id": "as_0059673e806d4a0788a0d38a6a72f500",
"home": "ABC",
"away": "Luverdense",
"league": "Brazil Serie D",
"minute": 90,
"phase": "finished",
"phase_label": "Finished",
"home_score": 4,
"away_score": 1,
"ht_score": "2-1",
"reg_score": "4-1",
"updated_at": "2026-07-26T21:57:59Z"
}
],
"meta": {
"total": 1
}
}GET
https://data.anysport.io/v1/soccer/matches?league_id=asl_65cc543c916d40adbc4e049e800a5b17&season=2017&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/matches',
headers={'apikey': 'YOUR_API_KEY'},
params={'league_id': 'asl_65cc543c916d40adbc4e049e800a5b17', 'season': '2017', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"match_id": "as_eb1ef588c5fb47f4803e90d0a74ee16d",
"date": "2017-11-13",
"time": "TBA",
"status": "FT",
"league": "NASL",
"league_id": "asl_65cc543c916d40adbc4e049e800a5b17",
"season": "2017",
"home": {
"name": "San Francisco Deltas",
"team_id": "ast_1394e82c609a4e29badc74f1fc21da04"
},
"away": {
"name": "NY Cosmos",
"team_id": "ast_121e3da961fd45e6a901ad9d0ad139d4"
},
"ht_score": "1-0",
"reg_score": "2-0",
"venue": "Kezar Stadium (San Francisco, California)"
},
{
"match_id": "as_fae1ee8fc80f4630b70ee005459617d5",
"date": "2017-11-06",
"time": "TBA",
"status": "FT",
"league": "NASL",
"league_id": "asl_65cc543c916d40adbc4e049e800a5b17",
"season": "2017",
"home": {
"name": "San Francisco Deltas",
"team_id": "ast_1394e82c609a4e29badc74f1fc21da04"
},
"away": {
"name": "North Carolina",
"team_id": "ast_6fa96b4432c34f4598d2e486692f829c"
},
"ht_score": "1-0",
"reg_score": "1-0",
"venue": "Kezar Stadium (San Francisco, California)"
},
{
"match_id": "as_e880152f69ad4f11b039605e6b9bdfbe",
"date": "2017-11-05",
"time": "TBA",
"status": "Pen.",
"league": "NASL",
"league_id": "asl_65cc543c916d40adbc4e049e800a5b17",
"season": "2017",
"home": {
"name": "Miami FC",
"team_id": "ast_3c041a5d5ead4977a85a2b2ccf224659"
},
"away": {
"name": "NY Cosmos",
"team_id": "ast_121e3da961fd45e6a901ad9d0ad139d4"
},
"ht_score": "0-0",
"reg_score": "0-0",
"venue": "Riccardo Silva Stadium (Miami, Florida)"
}
],
"meta": {
"total": 10
}
}GET
https://data.anysport.io/v1/soccer/standings?league_id=asl_65cc543c916d40adbc4e049e800a5b17&season=2017&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/standings',
headers={'apikey': 'YOUR_API_KEY'},
params={'league_id': 'asl_65cc543c916d40adbc4e049e800a5b17', 'season': '2017', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"position": 1,
"team_id": "ast_3c041a5d5ead4977a85a2b2ccf224659",
"team": "Miami",
"played": 16,
"wins": 11,
"draws": 3,
"losses": 2,
"goals_for": 33,
"goals_against": 11,
"goal_difference": 22,
"points": 36,
"form": "WWLWW"
},
{
"position": 2,
"team_id": "ast_1394e82c609a4e29badc74f1fc21da04",
"team": "San Francisco Deltas",
"played": 16,
"wins": 7,
"draws": 5,
"losses": 4,
"goals_for": 17,
"goals_against": 20,
"goal_difference": -3,
"points": 26,
"form": "LLWWW"
},
{
"position": 3,
"team_id": "ast_121e3da961fd45e6a901ad9d0ad139d4",
"team": "NY Cosmos",
"played": 16,
"wins": 6,
"draws": 6,
"losses": 4,
"goals_for": 22,
"goals_against": 21,
"goal_difference": 1,
"points": 24,
"form": "WLDLW"
}
],
"meta": {
"total": 8
}
}GET
https://data.anysport.io/v1/soccer/topscorers?league_id=asl_30c1e028124f46529e230d780bbe0e9e&season=2025-2026&kind=goals&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/topscorers',
headers={'apikey': 'YOUR_API_KEY'},
params={'league_id': 'asl_30c1e028124f46529e230d780bbe0e9e', 'season': '2025-2026', 'kind': 'goals', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"rank": 1,
"player_id": "asp_0fc5b0bbf9de418abd1ea1459081e326",
"player_name": "Harry Kane",
"team_id": "ast_dd1f5dc0480040f89a8992e6659671c3",
"team_name": "Bayern Munich",
"value": 36
},
{
"rank": 2,
"player_id": "asp_251cc25a651c4aabad97ab9d83776c92",
"player_name": "Deniz Undav",
"team_id": "ast_15c6fce8ebc446a0acb0013afecc9bc2",
"team_name": "Stuttgart",
"value": 19
},
{
"rank": 3,
"player_id": "asp_aa4271c8822a498a863e5c8fa42d7f04",
"player_name": "Serhou Guirassy",
"team_id": "ast_c4a3b3c90a89431ca93d828e19f20284",
"team_name": "Dortmund",
"value": 19
}
],
"meta": {
"total": 3
}
}GET
https://data.anysport.io/v1/soccer/teams?league_id=asl_65cc543c916d40adbc4e049e800a5b17&season=2017&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/teams',
headers={'apikey': 'YOUR_API_KEY'},
params={'league_id': 'asl_65cc543c916d40adbc4e049e800a5b17', 'season': '2017', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"team_id": "ast_6759b7efdc914f1aa8f5d140ae62c309",
"name": "Edmonton",
"country": "USA",
"venue": "Clarke Field"
},
{
"team_id": "ast_24fb194b106347a0826a7b66c3af6e10",
"name": "Indy Eleven",
"country": "USA",
"venue": "Michael A. Carroll Stadium"
},
{
"team_id": "ast_67dc1a5a55c641eab3d01f59c27b3f72",
"name": "Jacksonville Armada",
"country": "USA",
"venue": "Hodges Stadium"
}
],
"meta": {
"total": 8
}
}GET
https://data.anysport.io/v1/soccer/odds/live?lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/odds/live',
headers={'apikey': 'YOUR_API_KEY'},
params={'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"match_id": "as_0059673e806d4a0788a0d38a6a72f500",
"home": "ABC",
"away": "Luverdense",
"league": "Brazil Serie D",
"bookmaker": "bet365",
"phase": "live",
"main_market": "fulltime_result",
"main_market_label": "Fulltime Result",
"home_odd": 1.008,
"draw_odd": 26,
"away_odd": 51,
"markets": [
{
"market_code": "home_4th_goal_in_interval",
"market_code_label": "Home 4th Goal in Interval",
"handicap": 80,
"options": [
{
"name": "Yes",
"name_label": "Yes",
"odd": 9
},
{
"name": "No",
"name_label": "No",
"odd": 1.04
}
]
},
{
"market_code": "last_corner",
"market_code_label": "Last Corner",
"options": [
{
"name": "1",
"name_label": "1",
"odd": 1.8
},
{
"name": "2",
"name_label": "2",
"odd": 1.909
}
]
},
{
"market_code": "how_many_goals_will_away_team_score",
"market_code_label": "How many goals will Away Team score?",
"options": [
{
"name": "No goal",
"name_label": "No goal",
"odd": 1.571
},
{
"name": "1",
"name_label": "1",
"odd": 1.142
},
{
"name": "2",
"name_label": "2",
"odd": 5.5
},
{
"name": "3 or more",
"name_label": "3 or more",
"odd": 17
}
]
},
{
"market_code": "asian_handicap",
"market_code_label": "Asian Handicap",
"handicap": -2.25,
"options": [
{
"name": "1",
"name_label": "1",
"odd": 2.5
},
{
"name": "2",
"name_label": "2",
"odd": 1.5
}
]
}
],
"updated_at": "2026-07-26T21:41:43Z"
}
],
"meta": {
"total": 1
}
}GET
https://data.anysport.io/v1/soccer/players?team_id=ast_3c041a5d5ead4977a85a2b2ccf224659&league_id=asl_65cc543c916d40adbc4e049e800a5b17&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/players',
headers={'apikey': 'YOUR_API_KEY'},
params={'team_id': 'ast_3c041a5d5ead4977a85a2b2ccf224659', 'league_id': 'asl_65cc543c916d40adbc4e049e800a5b17', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"player_id": "asp_cdf59c00d7194f3ebeec945c23313d89",
"name": "Alejandro Garcia",
"position": "D",
"number": "38",
"age": "18",
"team_id": "ast_3c041a5d5ead4977a85a2b2ccf224659",
"team_name": "Miami FC",
"season_stats": {
"league_id": "asl_65cc543c916d40adbc4e049e800a5b17"
}
},
{
"player_id": "asp_931ae9a4484e4ed99ed2a889f088b2df",
"name": "Alessandro Milesi",
"position": "D",
"number": "21",
"age": "26",
"team_id": "ast_3c041a5d5ead4977a85a2b2ccf224659",
"team_name": "Miami FC",
"season_stats": {
"league_id": "asl_65cc543c916d40adbc4e049e800a5b17"
}
},
{
"player_id": "asp_cbad1f99ce3f4e8da3b4b0adad45c91d",
"name": "Alexander Naranjo",
"position": "A",
"number": "36",
"age": "19",
"team_id": "ast_3c041a5d5ead4977a85a2b2ccf224659",
"team_name": "Miami FC",
"season_stats": {
"league_id": "asl_65cc543c916d40adbc4e049e800a5b17"
}
}
],
"meta": {
"total": 29
}
}GET
https://data.anysport.io/v1/soccer/odds/prematch?lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/odds/prematch',
headers={'apikey': 'YOUR_API_KEY'},
params={'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"match_id": "as_d21c97e73a5e45c7b87cb82e28c9f986",
"home": "Hafnarfjordur",
"away": "KR Reykjavik",
"league": "Iceland: Besta Deild Karla",
"bookmaker": "bet365",
"phase": "prematch",
"main_market": "match_winner",
"main_market_label": "Match Winner",
"home_odd": 3.9,
"draw_odd": 4.5,
"away_odd": 1.57,
"markets": [
{
"market_code": "match_winner",
"market_code_label": "Match Winner",
"options": [
{
"name": "Home",
"name_label": "Home",
"odd": 3.9
},
{
"name": "Draw",
"name_label": "Draw",
"odd": 4.5
},
{
"name": "Away",
"name_label": "Away",
"odd": 1.57
}
]
},
{
"market_code": "home_away",
"market_code_label": "Home/Away",
"options": [
{
"name": "Home",
"name_label": "Home",
"odd": 3.4
},
{
"name": "Away",
"name_label": "Away",
"odd": 1.3
}
]
},
{
"market_code": "2nd_half_winner",
"market_code_label": "2nd Half Winner",
"options": [
{
"name": "Home",
"name_label": "Home",
"odd": 3.6
},
{
"name": "Draw",
"name_label": "Draw",
"odd": 3.4
},
{
"name": "Away",
"name_label": "Away",
"odd": 1.83
}
]
},
{
"market_code": "asian_handicap",
"market_code_label": "Asian Handicap",
"options": [
{
"name": "Home -1",
"name_label": "Home -1",
"odd": 7
},
{
"name": "Away +1",
"name_label": "Away +1",
"odd": 1.1
},
{
"name": "Home -0.75",
"name_label": "Home -0.75",
"odd": 5
},
{
"name": "Away +0.75",
"name_label": "Away +0.75",
"odd": 1.17
},
{
"name": "Home -0.5",
"name_label": "Home -0.5",
"odd": 4
},
{
"name": "Away +0.5",
"name_label": "Away +0.5",
"odd": 1.23
},
{
"name": "Home -0.25",
"name_label": "Home -0.25",
"odd": 3.7
},
{
"name": "Away +0.25",
"name_label": "Away +0.25",
"odd": 1.26
},
{
"name": "Home +0",
"name_label": "Home +0",
"odd": 3.45
},
{
"name": "Away 0",
"name_label": "Away 0",
"odd": 1.3
},
{
"name": "Home +0.25",
"name_label": "Home +0.25",
"odd": 2.68
},
{
"name": "Away -0.25",
"name_label": "Away -0.25",
"odd": 1.45
},
{
"name": "Home +0.5",
"name_label": "Home +0.5",
"odd": 2.3
},
{
"name": "Away -0.5",
"name_label": "Away -0.5",
"odd": 1.6
},
{
"name": "Home +0.75",
"name_label": "Home +0.75",
"odd": 2.08
},
{
"name": "Away -0.75",
"name_label": "Away -0.75",
"odd": 1.72
},
{
"name": "Home +1",
"name_label": "Home +1",
"odd": 1.9
},
{
"name": "Away -1",
"name_label": "Away -1",
"odd": 1.9
},
{
"name": "Home +2",
"name_label": "Home +2",
"odd": 1.35
},
{
"name": "Away -2",
"name_label": "Away -2",
"odd": 3.1
},
{
"name": "Home +3",
"name_label": "Home +3",
"odd": 1.12
},
{
"name": "Away -3",
"name_label": "Away -3",
"odd": 6
},
{
"name": "Home +1.25",
"name_label": "Home +1.25",
"odd": 1.72
},
{
"name": "Away -1.25",
"name_label": "Away -1.25",
"odd": 2.08
},
{
"name": "Home +1.5",
"name_label": "Home +1.5",
"odd": 1.6
},
{
"name": "Away -1.5",
"name_label": "Away -1.5",
"odd": 2.3
},
{
"name": "Home +1.75",
"name_label": "Home +1.75",
"odd": 1.48
},
{
"name": "Away -1.75",
"name_label": "Away -1.75",
"odd": 2.6
},
{
"name": "Home +2.25",
"name_label": "Home +2.25",
"odd": 1.3
},
{
"name": "Away -2.25",
"name_label": "Away -2.25",
"odd": 3.45
},
{
"name": "Home +2.5",
"name_label": "Home +2.5",
"odd": 1.26
},
{
"name": "Away -2.5",
"name_label": "Away -2.5",
"odd": 3.7
},
{
"name": "Home +2.75",
"name_label": "Home +2.75",
"odd": 1.19
},
{
"name": "Away -2.75",
"name_label": "Away -2.75",
"odd": 4.5
}
]
}
],
"updated_at": "2026-07-28T14:20:04Z"
}
],
"meta": {
"total": 1
}
}One Request, the Full USA NASL Table
This isn't a screenshot. The standings below are served live from a single GET /standings call — the exact response your app receives. Positions, form, and goal difference update themselves; you never touch a spreadsheet.
| Position | Team | Played | W/D/L | Goals For / Against | Goal Difference | Form |
|---|---|---|---|---|---|---|
| 1 | Miami | 16 | 11/3/2 | 33/11 | 22 | WWLWW |
| 2 | San Francisco Deltas | 16 | 7/5/4 | 17/20 | -3 | LLWWW |
| 3 | NY Cosmos | 16 | 6/6/4 | 22/21 | 1 | WLDLW |
| 4 | Jacksonville Armada | 16 | 6/6/4 | 17/16 | 1 | LDDWL |
| 5 | North Carolina | 16 | 6/3/7 | 21/22 | -1 | WLWLL |
| 6 | Indy Eleven | 16 | 4/8/4 | 21/22 | -1 | WWDWW |
| 7 | Edmonton | 16 | 4/1/11 | 11/21 | -10 | LWLLL |
| 8 | Puerto Rico | 16 | 1/6/9 | 19/28 | -9 | LDDLL |
Data comes from the AnySport league standing endpoint. Update date: 2026/10/18
USA NASL Season 2017, Quantified
Every figure below is computed from raw match data the API returns — not hand-entered. Build the same dashboards, betting models, or editorial widgets on top of the same numbers.
131Match completed
341Total goals
2.6Avg. goal per match
43Home wins
44Draw
44Away wins
32.8%Home win %
7Biggest margin
8Highest scoring
MiamiLeader team
Last update: 2026/10/18
1 Seasons of USA NASL History, Queryable
Coverage runs back to 2017 — champions and distinct title-holders, every final table archived and addressable by season. Backfill your database once, then keep it current from the same endpoints. This depth is what separates a data provider from a scoreboard.
| Season | Team | Points | Match Record | Goal Statistics |
|---|---|---|---|---|
| 2017 | Miami | 36 | 16/11/3/2 | 33/11/22 |
FAQ
How many USA NASL teams and players does your API cover?
Our USA NASL API covers 8 teams with full squads and player profiles, all addressable through the /teams and /players endpoints.
How much historical data do you provide?
1 seasons of standings back to 2017, with every final table, champion, and season archived and queryable by season.
What real-time football data does your API offer?
Live scores, in-play odds, and match events stream through REST and WebSocket, so you can power live widgets and in-play products with the same schema.
Does your free trial include access to USA NASL match data?
Yes. The free trial includes USA NASL fixtures, results, standings, and player data — no credit card required.