Nepal A Division Soccer Data API
Integrate live scores, fixtures, standings, lineups, and odds for Nepal A Division through one fast, reliable, developer-friendly REST & WebSocket API. 27 clubs, 8 seasons of history, one consistent JSON schema.
No credit card required
The same schema powers Nepal A Division and 1,000+ competitions worldwide.
Access Full Data of Nepal A Division Matches
Every Nepal A Division 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_e19848c52a9d47c3bb68c7a99612e402&season=2022%2F2023&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/matches',
headers={'apikey': 'YOUR_API_KEY'},
params={'league_id': 'asl_e19848c52a9d47c3bb68c7a99612e402', 'season': '2022/2023', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"match_id": "as_4eecb5c3dcc947f28e4d9e8e2f32362b",
"date": "2023-06-10",
"time": "08:15",
"status": "FT",
"league": "A Division",
"league_id": "asl_e19848c52a9d47c3bb68c7a99612e402",
"season": "2022/2023",
"home": {
"name": "Sankata",
"team_id": "ast_a913f4121dc146e8b6d8870f41df50cb"
},
"away": {
"name": "New Road Team",
"team_id": "ast_158ebc50ff9a442b8585aceb465e9e43"
},
"reg_score": "1-1",
"venue": "Chyasal ANFA Technical Football Center (Kathmandu)"
},
{
"match_id": "as_86c78be279354827b3045ee7bd71f1df",
"date": "2023-06-10",
"time": "08:15",
"status": "FT",
"league": "A Division",
"league_id": "asl_e19848c52a9d47c3bb68c7a99612e402",
"season": "2022/2023",
"home": {
"name": "Machhindra",
"team_id": "ast_d7bec32d5b8a45e2894b8c439016b1c5"
},
"away": {
"name": "Manang Marshyangdi",
"team_id": "ast_afee7518de774617aa178f528754fa7b"
},
"reg_score": "3-1",
"venue": "Dashrath Rangasala (Kathmandu)"
},
{
"match_id": "as_ff3d289b02f24495a5a91d6cbf804bef",
"date": "2023-06-10",
"time": "11:45",
"status": "FT",
"league": "A Division",
"league_id": "asl_e19848c52a9d47c3bb68c7a99612e402",
"season": "2022/2023",
"home": {
"name": "Jawalakhel",
"team_id": "ast_c2e3e6278fec4e7f936920ed86cd6a21"
},
"away": {
"name": "Three Star",
"team_id": "ast_f060539f065047a59f526ec83ffb2751"
},
"reg_score": "0-1",
"venue": "Dashrath Rangasala (Kathmandu)"
}
],
"meta": {
"total": 10
}
}GET
https://data.anysport.io/v1/soccer/standings?league_id=asl_e19848c52a9d47c3bb68c7a99612e402&season=2022-2023&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/standings',
headers={'apikey': 'YOUR_API_KEY'},
params={'league_id': 'asl_e19848c52a9d47c3bb68c7a99612e402', 'season': '2022-2023', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"position": 1,
"team_id": "ast_788d19dead9d4417abdced1f4bed80e9",
"team": "Church Boys",
"played": 26,
"wins": 13,
"draws": 9,
"losses": 4,
"goals_for": 34,
"goals_against": 15,
"goal_difference": 19,
"points": 48,
"form": "WDWWL"
},
{
"position": 2,
"team_id": "ast_d7bec32d5b8a45e2894b8c439016b1c5",
"team": "Machhindra",
"played": 26,
"wins": 12,
"draws": 9,
"losses": 5,
"goals_for": 41,
"goals_against": 26,
"goal_difference": 15,
"points": 45,
"form": "WWLWD"
},
{
"position": 3,
"team_id": "ast_944a07f5af0940cba3ff1af54606c7be",
"team": "Nepal Police",
"played": 26,
"wins": 12,
"draws": 5,
"losses": 9,
"goals_for": 29,
"goals_against": 30,
"goal_difference": -1,
"points": 41,
"form": "WDWWW"
}
],
"meta": {
"total": 14
}
}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_e19848c52a9d47c3bb68c7a99612e402&season=2012%2F2013&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/teams',
headers={'apikey': 'YOUR_API_KEY'},
params={'league_id': 'asl_e19848c52a9d47c3bb68c7a99612e402', 'season': '2012/2013', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [
{
"name": "Miramar",
"country": "New Zealand"
}
],
"meta": {
"total": 1
}
}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_788d19dead9d4417abdced1f4bed80e9&league_id=asl_e19848c52a9d47c3bb68c7a99612e402&lang=enimport requests
resp = requests.get(
'https://data.anysport.io/v1/soccer/players',
headers={'apikey': 'YOUR_API_KEY'},
params={'team_id': 'ast_788d19dead9d4417abdced1f4bed80e9', 'league_id': 'asl_e19848c52a9d47c3bb68c7a99612e402', 'lang': 'en'}
)
print(resp.json()){
"success": true,
"data": [],
"meta": {
"total": 0
}
}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 Nepal A Division 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 | Church Boys | 26 | 13/9/4 | 34/15 | 19 | WDWWL |
| 2 | Machhindra | 26 | 12/9/5 | 41/26 | 15 | WWLWD |
| 3 | Nepal Police | 26 | 12/5/9 | 29/30 | -1 | WDWWW |
| 4 | Jawalakhel | 26 | 10/7/9 | 39/33 | 6 | LLLWL |
| 5 | Satdobato | 26 | 10/5/11 | 28/28 | 0 | LWWLL |
| 6 | New Road Team | 26 | 8/10/8 | 33/37 | -4 | DWDLW |
| 7 | Nepal Army | 26 | 8/10/8 | 30/29 | 1 | WDLLD |
| 8 | Three Star | 26 | 7/11/8 | 18/18 | 0 | WDDDL |
| 9 | Sankata | 26 | 7/11/8 | 27/30 | -3 | DDWDW |
| 10 | Manang Marshyangdi | 26 | 7/11/8 | 25/29 | -4 | LLDWW |
| 11 | Himalayan Sherpa | 26 | 7/10/9 | 28/35 | -7 | LLDDL |
| 12 | Friends Club | 26 | 7/9/10 | 42/37 | 5 | WDDDL |
| 13 | Armed Police Force | 26 | 8/6/12 | 29/36 | -7 | LLDLW |
| 14 | Khumaltar | 26 | 8/3/15 | 34/54 | -20 | LWLLW |
Data comes from the AnySport league standing endpoint. Update date: 2026/10/18
Nepal A Division Season 2022-2023, 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.
182Match completed
437Total goals
2.4Avg. goal per match
56Home wins
58Draw
68Away wins
30.8%Home win %
6Biggest margin
10Highest scoring
Church BoysLeader team
Last update: 2026/10/18
8 Seasons of Nepal A Division History, Queryable
Coverage runs back to 2010 — 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 |
|---|---|---|---|---|
| 2022-2023 | Church Boys | 48 | 26/13/9/4 | 34/15/19 |
| 2020-2021 | Machhindra | 35 | 13/11/2/0 | 20/2/18 |
| 2019-2020 | Machhindra | 31 | 13/10/2/1 | 25/8/17 |
| 2014-2015 | Three Star | 35 | 16/10/5/1 | 32/9/23 |
| 2013-2014 | Manang Marshyangdi | 26 | 12/8/2/2 | 23/5/18 |
| 2012-2013 | Three Star | 35 | 15/11/2/2 | 31/7/24 |
| 2011 | Nepal Police | 44 | 17/14/2/1 | 54/7/47 |
| 2010 | Nepal Police | 50 | 22/14/8/0 | 35/8/27 |
FAQ
How many Nepal A Division teams and players does your API cover?
Our Nepal A Division API covers 27 teams with full squads and player profiles, all addressable through the /teams and /players endpoints.
How much historical data do you provide?
8 seasons of standings back to 2010, 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 Nepal A Division match data?
Yes. The free trial includes Nepal A Division fixtures, results, standings, and player data — no credit card required.