IDs (object structures?)

List of ids is available below:

Consumable IDs

Consumable IDs have been added by Koolaidjones. They are updated through 2017, so some IDs may be slightly off. The full table is availalbe at this Google Drive link.

League IDs

Leagues are found through the property fut.leagues.

League ID Lookup Table

| ID | League | |——-|—————————————–| | 1 | ‘Alka Superliga’ | | 4 | ‘Belgium Pro League’ | | 7 | ‘Liga do Brasil’ | | 10 | ‘Eredivisie’ | | 13 | ‘Premier League’ | | 14 | ‘EFL Championship’ | | 16 | ‘Ligue 1 Conforama’ | | 17 | ‘Domino’s Ligue 2’ | | 19 | ‘Bundesliga’ | | 20 | ‘Bundesliga 2’ | | 31 | ‘Calcio A’ | | 32 | ‘Calcio B’ | | 39 | ‘Major League Soccer’ | | 41 | ‘Eliteserien’ | | 50 | ‘Scottish Premiership’ | | 51 | ‘Scotland League’ | | 53 | ‘LaLiga Santander’ | | 54 | ‘LaLiga 1 I 2 I 3’ | | 56 | ‘Allsvenskan’ | | 57 | ‘Colombia Apertura’ | | 58 | ‘Colombia Clausura’ | | 60 | ‘EFL League One’ | | 61 | ‘EFL League Two’ | | 63 | ‘Hellas Liga’ | | 65 | ‘SSE Airtricity League’ | | 66 | ‘Ekstraklasa’ | | 67 | ‘Russian Football Premier League’ | | 68 | ‘Süper Lig’ | | 76 | ‘Rest of World’ | | 78 | “Men’s National” | | 80 | ‘Österreichische Fußball-Bundesliga’ | | 83 | ‘K LEAGUE Classic’ | | 84 | ‘Mexican Clausura’ | | 85 | ‘Mexican Apertura’ | | 152 | ‘Torneo de Primera’ | | 153 | ‘Torneo de Primera’ | | 156 | ‘Chile Apertura’ | | 157 | ‘Chile Clausura’ | | 189 | ‘Raiffeisen Super League’ | | 308 | ‘Liga NOS’ | | 319 | ‘Česká Liga’ | | 322 | ‘Finnliiga’ | | 332 | ‘Ukrayina Liha’ | | 335 | ‘Campeonato Scotiabank’ | | 336 | ‘Liga Dimayor’ | | 341 | ‘LIGA Bancomer MX’ | | 347 | ‘South African FL’ | | 349 | ‘Meiji Yasuda J1 League’ | | 350 | ‘Dawry Jameel’ | | 351 | ‘Hyundai A-League’ | | 353 | ‘Primera División’ | | 371 | ‘Scotland League’ | | 382 | ‘Free Agents’ | | 383 | ‘Created Players League’ | | 384 | ‘Creation Centre League’ | | 390 | ‘MLS Cup’ | | 993 | ‘Asia Qualifier’ | | 1003 | ‘Copa Latinoamericana’ | | 1004 | ‘Colombia Apertura’ | | 1005 | ‘Colombia Finalización’ | | 1006 | ‘Chile Apertura’ | | 1007 | ‘Chile Clausura’ | | 1008 | ‘Argentina Apertura’ | | 1009 | ‘Argentina Clausura’ | | 2002 | ‘Nacional B’ | | 2012 | ‘China Top League’ | | 2025 | ‘Liga do Brasil B’ | | 2028 | ‘World League’ | | 2076 | ‘3. Liga’ | | 2096 | ‘Special Teams’ | | 2118 | ‘Icons’ | | 2136 | “Women’s National” | | 2138 | ‘International Clubs’ | | 2150 | ‘REWARDS’ | | 10001 | ‘Denmark League 2’ | | 10004 | ‘Belgium League 2’ | | 10007 | ‘Liga do Brasil 1’ | | 10010 | ‘Holland League 2’ | | 10017 | ‘France League 3’ | | 10020 | ‘Germany League 3’ | | 10032 | ‘Italy League 3’ | | 10041 | ‘Norway League 2’ | | 10050 | ‘Scotland League 2’ | | 10054 | ‘Spain League 3’ | | 10056 | ‘Sweden League 2’ | | 10061 | ‘England League 5’ | | 10065 | ‘Ireland League 2’ | | 10066 | ‘Poland League 2’ | | 10067 | ‘Russia League 2’ | | 10076 | ‘Rest of World 2’ | | 10080 | ‘Austria League 2’ | | 10083 | ‘Korea League 2’ | | 10189 | ‘Switzerland League 2’ | | 10308 | ‘Portugal League 2’ | | 10335 | ‘Chile League 2’ | | 10336 | ‘Colombia League 2’ | | 10341 | ‘Mexico League 2’ | | 10350 | ‘Saudi League 2’ | | 10353 | ‘Argentina League 2’ |

Player IDs

The player IDs are found through the property fut.players. A full table is available at this Google Drive link.

Player Info Dict

The player info dict is returned by many functions. Below is an example with a helpful table of return types.

Player Info Dict Code Example

>>> #Get first player in my club
>>> fut.club()[0]
[{'assetId': 230621,
  'assists': 0,
  .......}]

Player Info Dict Lookup Table

| field | type | description | |——————-|———|——————————————-| | assetId | int | unique asset id | | assists | int | career assists | | attributeList | dict | five primary stats | | bidState | str | state of bid | | buyNowPrice | int | coins to buy now | | cardType | int | unsure | | cardsubtypeid | int | unsure | | contract | int | 0-99 games | | count | ? | None | | currentBid | int | coins of currentBid (0 if no bids) | | discardValue | int | coins recieved from quick sell | | expires | int | seconds until expires from transfer market| | fitness | int | 0-99 fitness | | formation | str | current team formation | | id | int | unique card id. one asset id can have many card ids (TOTW example) | | injuryGames | int | games until current injury expires | | injuryType | str | current injury type | | itemState | str | what you can do with the current item | | itemType | str | player, development, training | | lastSalePrice | int | coins last sold for on transfer market | | leagueId | int | use fut.leagues() to get dictionary | | lifetimeAssists | int | career assists again | | lifetimeStats | dict | all career stats | | loyaltyBonus | int | unsure | | morale | int | 0-99 … not sure what this does | | nation | int | use fut.nations() to get dictionary | | offers | int | number of bids in transfer market | | owners | int | number of historical owners | | pile | int | unsure | | playStyle | int | use fut.playStyles() to get dictionary | | position | str | preferred player position | | rareflag | int | rare card | | rating | int | 0-99 | | resourceGameYear | int | 2018 | | resourceId | int | same as assetid | | sellerEstablished | int | unsure | | sellerId | int | current seller on transfer market (empty) | | sellerName | str | current seller on transfer market (empty) | | startingBid | int | coins of the first bid on transfer market | | statsList | dict | same as lifetimeStats | | suspension | int | red card suspension games remaining | | teamid | int | use fut.teams() to get dictionary | | timestamp | int | epoch time that you acquired the item | | tradeId | int | unique tradeId on transfer market | | tradeState | str | current State on transfer market | | training | int | unsure | | untradeable | boolean | listable on the transfer market | | untradeableCount | ? | unsure | | watched | boolean | currently in watchlist | | year | int | 2018 |

PlayStyle IDs

PlayStyle IDs are found through the property fut.playstyles.

PlayStyle ID Lookup Table

| ID | Description | |—–|—————| | 250 | ‘BASIC’ | | 251 | ‘SNIPER’ | | 252 | ‘FINISHER’ | | 253 | ‘DEADEYE’ | | 254 | ‘MARKSMAN’ | | 255 | ‘HAWK’ | | 256 | ‘ARTIST’ | | 257 | ‘ARCHITECT’ | | 258 | ‘POWERHOUSE’ | | 259 | ‘MAESTRO’ | | 260 | ‘ENGINE’ | | 261 | ‘SENTINEL’ | | 262 | ‘GUARDIAN’ | | 263 | ‘GLADIATOR’ | | 264 | ‘BACKBONE’ | | 265 | ‘ANCHOR’ | | 266 | ‘HUNTER’ | | 267 | ‘CATALYST’ | | 268 | ‘SHADOW’ | | 269 | ‘WALL’ | | 270 | ‘SHIELD’ | | 271 | ‘CAT’ | | 272 | ‘GLOVE’ | | 273 | ‘GK BASIC’ |

Nation IDs

Nation IDs are found through the property fut.nations.

Nation ID Lookup Table

| ID | Nation | |——————————-|—————————| | 1 | ‘Albania’, | | 2 | ‘Andorra’, | | 3 | ‘Armenia’, | | 4 | ‘Austria’, | | 5 | ‘Azerbaijan’, | | 6 | ‘Belarus’, | | 7 | ‘Belgium’, | | 8 | ‘Bosnia Herzegovina’, | | 9 | ‘Bulgaria’, | | 10 | ‘Croatia’, | | 11 | ‘Cyprus’, | | 12 | ‘Czech Republic’, | | 13 | ‘Denmark’, | | 14 | ‘England’, | | 15 | ‘Montenegro’, | | 16 | ‘Faroe Islands’, | | 17 | ‘Finland’, | | 18 | ‘France’, | | 19 | ‘FYR Macedonia’, | | 20 | ‘Georgia’, | | 21 | ‘Germany’, | | 22 | ‘Greece’, | | 23 | ‘Hungary’, | | 24 | ‘Iceland’, | | 25 | ‘Republic of Ireland’, | | 26 | ‘Israel’, | | 27 | ‘Italy’, | | 28 | ‘Latvia’, | | 29 | ‘Liechtenstein’, | | 30 | ‘Lithuania’, | | 31 | ‘Luxemburg’, | | 32 | ‘Malta’, | | 33 | ‘Moldova’, | | 34 | ‘Netherlands’, | | 35 | ‘Northern Ireland’, | | 36 | ‘Norway’, | | 37 | ‘Poland’, | | 38 | ‘Portugal’, | | 39 | ‘Romania’, | | 40 | ‘Russia’, | | 41 | ‘San Marino’, | | 42 | ‘Scotland’, | | 43 | ‘Slovakia’, | | 44 | ‘Slovenia’, | | 45 | ‘Spain’, | | 46 | ‘Sweden’, | | 47 | ‘Switzerland’, | | 48 | ‘Turkey’, | | 49 | ‘Ukraine’, | | 50 | ‘Wales’, | | 51 | ‘Serbia’, | | 52 | ‘Argentina’, | | 53 | ‘Bolivia’, | | 54 | ‘Brazil’, | | 55 | ‘Chile’, | | 56 | ‘Colombia’, | | 57 | ‘Ecuador’, | | 58 | ‘Paraguay’, | | 59 | ‘Peru’, | | 60 | ‘Uruguay’, | | 61 | ‘Venezuela’, | | 62 | ‘Anguilla’, | | 63 | ‘Antigua & Barbuda’, | | 64 | ‘Aruba’, | | 65 | ‘Bahamas’, | | 66 | ‘Barbados’, | | 67 | ‘Belize’, | | 68 | ‘Bermuda’, | | 69 | ‘British Virgin Isles’, | | 70 | ‘Canada’, | | 71 | ‘Cayman Islands’, | | 72 | ‘Costa Rica’, | | 73 | ‘Cuba’, | | 74 | ‘Dominica’, | | 75 | ‘International’, | | 76 | ‘El Salvador’, | | 77 | ‘Grenada’, | | 78 | ‘Guatemala’, | | 79 | ‘Guyana’, | | 80 | ‘Haiti’, | | 81 | ‘Honduras’, | | 82 | ‘Jamaica’, | | 83 | ‘Mexico’, | | 84 | ‘Montserrat’, | | 85 | ‘Netherlands Antilles’, | | 86 | ‘Nicaragua’, | | 87 | ‘Panama’, | | 88 | ‘Puerto Rico’, | | 89 | ‘St Kitts Nevis’, | | 90 | ‘St Lucia’, | | 91 | ‘St Vincent Grenadine’, | | 92 | ‘Suriname’, | | 93 | ‘Trinidad & Tobago’, | | 94 | ‘Turks & Caicos’, | | 95 | ‘United States’, | | 96 | ‘US Virgin Islands’, | | 97 | ‘Algeria’, | | 98 | ‘Angola’, | | 99 | ‘Benin’, | | 100 | ‘Botswana’, | | 101 | ‘Burkina Faso’, | | 102 | ‘Burundi’, | | 103 | ‘Cameroon’, | | 104 | ‘Cape Verde Islands’, | | 105 | ‘CAR’, | | 106 | ‘Chad’, | | 107 | ‘Congo’, | | 108 | ‘Ivory Coast’, | | 109 | ‘Djibouti’, | | 110 | ‘DR Congo’, | | 111 | ‘Egypt’, | | 112 | ‘Equatorial Guinea’, | | 113 | ‘Eritrea’, | | 114 | ‘Ethiopia’, | | 115 | ‘Gabon’, | | 116 | ‘Gambia’, | | 117 | ‘Ghana’, | | 118 | ‘Guinea’, | | 119 | ‘Guinea Bissau’, | | 120 | ‘Kenya’, | | 121 | ‘Lesotho’, | | 122 | ‘Liberia’, | | 123 | ‘Libya’, | | 124 | ‘Madagascar’, | | 125 | ‘Malawi’, | | 126 | ‘Mali’, | | 127 | ‘Mauritania’, | | 128 | ‘Mauritius’, | | 129 | ‘Morocco’, | | 130 | ‘Mozambique’, | | 131 | ‘Namibia’, | | 132 | ‘Niger’, | | 133 | ‘Nigeria’, | | 134 | ‘Rwanda’, | | 135 | ‘São Tomé & Príncipe’, | | 136 | ‘Senegal’, | | 137 | ‘Seychelles’, | | 138 | ‘Sierra Leone’, | | 139 | ‘Somalia’, | | 140 | ‘South Africa’, | | 141 | ‘Sudan’, | | 142 | ‘Swaziland’, | | 143 | ‘Tanzania’, | | 144 | ‘Togo’, | | 145 | ‘Tunisia’, | | 146 | ‘Uganda’, | | 147 | ‘Zambia’, | | 148 | ‘Zimbabwe’, | | 149 | ‘Afghanistan’, | | 150 | ‘Bahrain’, | | 151 | ‘Bangladesh’, | | 152 | ‘Bhutan’, | | 153 | ‘Brunei Darussalam’, | | 154 | ‘Cambodia’, | | 155 | ‘China PR’, | | 156 | ‘Chinese Taipei’, | | 157 | ‘Guam’, | | 158 | ‘Hong Kong’, | | 159 | ‘India’, | | 160 | ‘Indonesia’, | | 161 | ‘Iran’, | | 162 | ‘Iraq’, | | 163 | ‘Japan’, | | 164 | ‘Jordan’, | | 165 | ‘Kazakhstan’, | | 166 | ‘Korea DPR’, | | 167 | ‘Korea Republic’, | | 168 | ‘Kuwait’, | | 169 | ‘Kyrgyzstan’, | | 170 | ‘Laos’, | | 171 | ‘Lebanon’, | | 172 | ‘Macau’, | | 173 | ‘Malaysia’, | | 174 | ‘Maldives’, | | 175 | ‘Mongolia’, | | 176 | ‘Myanmar’, | | 177 | ‘Nepal’, | | 178 | ‘Oman’, | | 179 | ‘Pakistan’, | | 180 | ‘Palestinian Authority’, | | 181 | ‘Philippines’, | | 182 | ‘Qatar’, | | 183 | ‘Saudi Arabia’, | | 184 | ‘Singapore’, | | 185 | ‘Sri Lanka’, | | 186 | ‘Syria’, | | 187 | ‘Tajikistan’, | | 188 | ‘Thailand’, | | 189 | ‘Turkmenistan’, | | 190 | ‘United Arab Emirates’, | | 191 | ‘Uzbekistan’, | | 192 | ‘Vietnam’, | | 193 | ‘Yemen’, | | 194 | ‘American Samoa’, | | 195 | ‘Australia’, | | 196 | ‘Cook Islands’, | | 197 | ‘Fiji’, | | 198 | ‘New Zealand’, | | 199 | ‘Papua New Guinea’, | | 200 | ‘Samoa’, | | 201 | ‘Solomon Islands’, | | 202 | ‘Tahiti’, | | 203 | ‘Tonga’, | | 204 | ‘Vanuatu’, | | 205 | ‘Gibraltar’, | | 206 | ‘Greenland’, | | 207 | ‘Dominican Republic’, | | 208 | ‘Estonia’, | | 209 | ‘Created Players’, | | 210 | ‘Free Agents’, | | 211 | ‘Rest of World’, | | 212 | ‘Timor-Leste’, | | 213 | ‘Chinese Taipei’, | | 214 | ‘Comoros’, | | 215 | ‘New Caledonia’, | | 219 | ‘Kosovo’ |

Rare Cards

There are currently 41 confirmed types of rare cards.

Rare Card Lookup Table

| Description | ID | |————–|—-| | NONE | 0 | | RARE | 1 | | LOCK | 2 | | TOTW | 3 | | PURPLE | 4 | | TOTY | 5 | | RB | 6 | | GREEN | 7 | | ORANGE | 8 | | PINK | 9 | | TEAL | 10 | | TOTS | 11 | | LEGEND | 12 | | WC | 13 | | UNICEF | 14 | | OLDIMOTM | 15 | | FUTTY | 16 | | STORYMODE | 17 | | CHAMPION | 18 | | CMOTM | 19 | | IMOTM | 20 | | OTW | 21 | | HALLOWEEN | 22 | | MOVEMBER | 23 | | SBC | 24 | | SBCP | 25 | | PROMOA | 26 | | PROMOB | 27 | | AWARD | 28 | | BDAY | 30 | | UNITED | 31 | | FUTMAS | 32 | | RTRC | 33 | | PTGS | 34 | | FOF | 35 | | MARQUEE | 36 | | CHAMPIONSHIP | 37 | | EUMOTM | 38 | | TOTT | 39 | | RRC | 40 | | RRR | 41 |

Stadium IDs

Stadiums IDs are found through the property fut.stadiums.

Stadium ID Lookup Table

| ID | Stadium | |—–|—————————————–| | 1 | ‘Old Trafford’ | | 2 | ‘Santiago Bernabéu’ | | 4 | ‘Stade Gerland’ | | 5 | ‘San Siro’ | | 6 | ‘Camp Nou’ | | 8 | ‘Stadio Delle Alpi’ | | 9 | ‘Signal Iduna Park’ | | 10 | ‘Estadio Mestalla’ | | 13 | ‘Anfield’ | | 14 | ‘Parc des Princes’ | | 15 | ‘Amsterdam ArenA’ | | 16 | ‘Stade Felix Bollaert’ | | 17 | ‘Constant Vanden Stock’ | | 25 | ‘Closed Square Style’ | | 26 | ‘Forest Park Stadium’ | | 28 | ‘Stamford Bridge’ | | 29 | ‘Orange Vélodrome’ | | 30 | ‘Veltins Arena’ | | 32 | ‘Crown Lane’ | | 33 | ‘Union Park Stadium’ | | 34 | ‘Town Park’ | | 35 | ‘Euro Park’ | | 37 | ‘Div 3 Euro Style’ | | 38 | ‘Urban Training’ | | 39 | ‘Rural Training’ | | 41 | ‘Volksparkstadion’ | | 42 | ‘Estadio Vicente Calderón’ | | 100 | “St. James’ Park” | | 102 | ‘José Alvalade’ | | 104 | ‘Estadio Azteca’ | | 107 | ‘Estádio da Luz’ | | 108 | ‘Seoul Sang-am Stadium’ | | 110 | ‘Daegu Stadium’ | | 111 | ‘Estádio do Dragão’ | | 112 | ‘Fratton Park’ | | 113 | “St. Mary’s Stadium” | | 115 | ‘Villa Park’ | | 116 | ‘White Hart Lane’ | | 124 | ‘Small Olympic’ | | 127 | ‘Large Olympic’ | | 129 | ‘Large Square’ | | 133 | ‘Mercedes-Benz Arena’ | | 134 | ‘HDI Arena’ | | 135 | ‘Olympiastadion’ | | 137 | ‘Allianz Arena’ | | 138 | ‘Commerzbank Arena’ | | 147 | ‘Stadion Europa’ | | 149 | ‘Al Jayeed Stadium’ | | 153 | ‘Aloha Park’ | | 155 | ‘Wembley Stadium’ | | 345 | ‘King Abdullah Sports City’ | | 156 | ‘Emirates Stadium’ | | 157 | ‘Stadio Olimpico’ | | 158 | ‘Estadio de las Artes’ | | 161 | ‘StubHub Center’ | | 163 | ‘Jalisco’ | | 165 | ‘Stade de Suisse’ | | 172 | ‘StadiumName_172_FIWC-Stadium_FullChar’ | | 174 | ‘Stadio Comunale’ | | 175 | ‘Arena del Centenario’ | | 176 | ‘Waldstadion’ | | 177 | ‘La Canchita’ | | 178 | ‘Stadion Neder’ | | 179 | ‘Stade Municipal’ | | 180 | ‘Ivy Lane’ | | 181 | ‘El Grandioso’ | | 182 | ‘Stadion 23. Maj’ | | 183 | ‘Estadio El Medio’ | | 184 | ‘North America’ | | 185 | ‘South America’ | | 186 | ‘Southern Europe’ | | 187 | ‘Eastern Europe’ | | 188 | ‘Central Europe’ | | 189 | ‘United Kingdom’ | | 190 | ‘Asia’ | | 192 | ‘El Libertador’ | | 193 | ‘Stadio Classico’ | | 194 | ‘Eastpoint Arena’ | | 195 | ‘Stadion Olympik’ | | 196 | ‘Stadion Hanguk’ | | 197 | ‘O Dromo’ | | 211 | ‘Estadio Chamartin’ | | 212 | ‘Estadio Presidente G.Lopes’ | | 213 | ‘Green Point Stadium’ | | 214 | ‘Durban Stadium’ | | 215 | ‘Ellis Park Stadium’ | | 216 | ‘Soccer City Stadium’ | | 217 | ‘Free State Stadium’ | | 218 | ‘Nelson Mandela Bay Stadium’ | | 219 | ‘Mbombela Stadium’ | | 220 | ‘Peter Mokaba Stadium’ | | 221 | ‘Royal Bafokeng Stadium’ | | 222 | ‘Loftus Versfeld Stadium’ | | 223 | ‘Friður Stadium’ | | 224 | ‘Satta Stadium’ | | 225 | ‘Akaaroa Stadium’ | | 226 | ‘Hasiti Arena’ | | 227 | ‘Salam Stadium’ | | 228 | ‘Court Lane’ | | 229 | “Arena D’Oro” | | 233 | ‘Peuan Arena’ | | 234 | ‘Pyonghwa Stadium’ | | 235 | ‘Udugu Stadium’ | | 236 | ‘El Coloso’ | | 238 | ‘Africa’ | | 246 | ‘Etihad Stadium’ | | 247 | ‘Allianz Stadium’ | | 248 | ‘BC Place Stadium’ | | 249 | ‘Molton Road’ | | 250 | ‘Oceanic Arena’ | | 253 | ‘Olympic Stadium’ | | 254 | ‘Municipal Stadium Poznan’ | | 255 | ‘National Stadium Warsaw’ | | 256 | ‘Arena Gdansk’ | | 257 | ‘Municipal Stadium Wroclaw’ | | 258 | ‘Metalist Stadium’ | | 259 | ‘Arena Lviv’ | | 260 | ‘Donbass Arena’ | | 261 | ‘Sanderson Park’ | | 262 | ‘King Fahd Stadium’ | | 264 | ‘La Bombonera’ | | 265 | ‘Goodison Park’ | | 267 | ‘Arena Amazonia’ | | 268 | ‘Arena da Baixada’ | | 269 | ‘Arena de Sao Paulo’ | | 270 | ‘Arena Fonte Nova’ | | 271 | ‘Arena Pantanal’ | | 272 | ‘Arena Pernambuco’ | | 273 | ‘Estadio Beira-Rio’ | | 274 | ‘Estadio Castelao’ | | 275 | ‘Estadio das Dunas’ | | 276 | ‘Estadio do Maracana’ | | 277 | ‘Estadio Mineirao’ | | 278 | ‘Estadio Nacional’ | | 279 | ‘Baba Yetu Stadium’ | | 282 | ‘Stade du 13 Octobre’ | | 285 | ‘Stade du Lukanga’ | | 286 | ‘Estadio de las Cascadas’ | | 287 | ‘El Grandioso de las Pampas’ | | 288 | ‘Singeom Stadium’ | | 289 | ‘Shibusaka Stadium’ | | 290 | ‘Gold Lake Stadium’ | | 291 | ‘Stadio San Dalla Pace’ | | 316 | ‘Training Centre’ | | 325 | ‘Boleyn Ground’ | | 326 | ‘Stadium of Light’ | | 327 | ‘The Hawthorns’ | | 329 | ‘Carrow Road’ | | 330 | ‘Selhurst Park’ | | 331 | ‘Stoke City FC Stadium’ | | 332 | ‘KCOM Stadium’ | | 333 | ‘Liberty Stadium’ | | 335 | ‘King Power Stadium’ | | 336 | ‘Turf Moor’ | | 337 | ‘Loftus Road’ | | 340 | ‘The Amex Stadium’ | | 341 | ‘CenturyLink Field’ | | 343 | ‘BORUSSIA-PARK’ | | 344 | ‘El Monumental’ | | 345 | ‘King Abdullah Sports City’ | | 347 | ‘Vicarage Road’ | | 348 | ‘Vitality Stadium’ | | 349 | ‘Riverside Stadium’ | | 353 | ‘Training Ground’ | | 354 | ‘Suita City Football Stadium’ | | 355 | ‘London Stadium’ | | 358 | ‘EA SPORTS FIFA Stadium’ | | 364 | ‘Wanda Metropolitano’ | | 372 | ‘Luzhniki Stadium’ | | 373 | ‘Saint Petersburg Stadium’ | | 374 | ‘Kazan Arena’ | | 375 | ‘Samara Arena’ | | 376 | ‘Fisht Stadium’ | | 377 | ‘Nizhny Novgorod Stadium’ | | 378 | ‘Spartak Stadium’ | | 379 | ‘Rostov Arena’ | | 380 | ‘Ekaterinburg Arena’ | | 381 | ‘Mordovia Arena’ | | 382 | ‘Volgograd Arena’ | | 383 | ‘Kaliningrad Stadium’ | | 384 | ‘Kirklees Stadium’ |

Team IDs

The team IDs are found through the property fut.teams. A full table is available at this Google Drive link.

Trade Status Dict

The trade status dict returns basic info about a tradeId.

Trade Status Dict Code Example

>>> fut.tradeStatus(16575379694)
[{'tradeId': 16575379694,
'buyNowPrice': 1800,
'tradeState': 'closed',
...}]

Trade Status Dict Lookup Table

| field | type | description | |——————–|————-|————-| | tradeId | int | NA | | buNowPrice | int | NA | | tradeState | str | NA | | bidState | str | NA | | startingBid | int | NA | | id | int | NA | | offers | int | NA | | currentBid | int | NA | | expires | int | NA | | sellerEstablished | int | NA | | sellerId | int | NA | | sellerName | str | NA | | watched | boolean | NA | | resourceId | int | NA | | discardValue | int | NA |

Transfer Info Dict

The transfer info dict is returned by the tradepile and watchlist functions. Below is an example with a helpful table of return types.

Transfer Info Dict Code Example

>>> #Get first player in my transfers
>>> fut.tradepile()[0]
{'tradeId': 16575379694, 'buyNowPrice': 1800, 'tradeState': 'closed'....}

Transfer Info Dict Lookup Table

| field | type | description | |——————–|————-|————-| | tradeId | int | NA | | buNowPrice | int | NA | | tradeState | str | NA | | bidState | str | NA | | startingBid | int | NA | | id | int | NA | | offers | int | NA | | currentBid | int | NA | | expires | int | NA | | sellerEstablished | int | NA | | sellerId | int | NA | | sellerName | str | NA | | watched | boolean | NA | | resourceId | int | NA | | discardValue | int | NA | | timestamp | int | NA | | rating | int | NA | | assetId | int | NA | | itemState | str | NA | | rareflag | int | NA | | formation | str | NA | | leagueId | int | NA | | injuryType | str | NA | | injuryGames | int | NA | | lastSalePrice | int | NA | | fitness | int | NA | | training | int | NA | | suspension | int | NA | | contract | int | NA | | position | str | NA | | playStyle | int | NA | | itemType | str | NA | | cardType | it | NA | | cardsubtypeid | int | NA | | owners | int | NA | | untradeable | boolean | NA | | morale | int | NA | | statsList | list | NA | | lifetimeStats | list | NA | | attributeList | list(dicts) | NA | | teamid | int | NA | | assists | int | NA | | lifetimeAssitss | int | NA | | loyaltyBonus | int | NA | | pile | int | NA | | nation | int | NA | | year | int | NA | | resourceGameYear | int | NA | | marketDataMinPrice | int | NA | | marketDataMaxPrice | int | NA | | loans | int | NA |