Nhà Thơ Đá Bóng | 04/06/2016 07:20 PM
Có thể thấy gói thẻ mà anh chàng game thủ này mở là gói Top 100 EC16 chỉ định. Thông thường gói Top cầu thủ chỉ định được đánh giá cao hơn với tỉ lệ mở ra thẻ ‘xịn’ tốt hơn so với gói Top cầu thủ bình thường.
Khởi đầu của anh chàng rất vi diệu với ‘cú đúp’ Alexander Pato - ngôi sao người Brazil. Tiếp theo là hàng loạt ngôi sao của bóng đá Châu Âu và Nam Mĩ xuất hiện. Bạn cũng có thể dựa vào giá trị các ngôi sao này để dự đoán trước giá trên TTCN ở máy chủ Việt Nam sắp tới. Nhiều khả năng giá ở máy chủ Hàn Quốc chỉ đạt khoảng ⅔ giá ở máy chủ Việt Nam.
Mở đầu khá vi diệu với 2 thẻ Pato liên tiếp.
Trong đó các ngôi đắt đỏ nhất có thể kể đến như: Cristiano Ronaldo 78 triệu EP, Lionel Messi 15 triệu EP, Neymar 30 triệu EP, Ibrahimovic 70 triệu EP, Douglas Costa 11 triệu EP, T. Silva 26,8 triệu EP, G. Bale 32,8 triệu EP, A. Griezmann 16 triệu EP, A. Martial 13 triệu EP, T. Mullẻ 20 triệu EP, M. Neuer 20 triệu EP, J. Vardy 42 triệu EP, R. Lewandowski 80 triệu EP, J. Rodriguez 15 triệu EP, L. Suarez 100 triệu EP, Sergio Busquets 19,5 triệu EP…
Ronaldo nhìn rất ‘ngon’ nhưng vẫn không phải đắt nhất!
Với hàng chục thẻ chỉ định Top 100, Top 50 và Top 30 mà anh chàng mở ra thì gần như các siêu sao đắt nhất đã xuất hiện với giá trị khá hợp lý.
FIFA Online 3!
Tham khảo XS Kết Quả để xem kết quả xổ số.
Xem lịch âm dương tại Xem Lịch Âm.
Xem bong da Xem bong da 247.
Công cụ tính toán https://calculatorss.us.
Tin tức game https://gamekvn.club.
7Bcd9ZLwBa1GzC99aCe2yAmdb5 mppmGXbIRGpI aj9a4xfoo29tJ0FRZND5nS9YuFlnfWrOudA6zaGTUcCfXswiPX2PSnIjQghigGiLv HUuhkZX5RtBup3rLjxZu2POKEwqbxace ARROd7iDIQn2paeA4pO3k0BxqK0nz4jlMx99ak34PBVqjRA8R4B0X5uucLpWdGOzPWY0atrWQQUBvcyWtMgTYUlMGHbddtdgpjSiQ2z7D6jhfawbkYpITMNo3TelUNdym2DWB2Xm11uCSBNHv 2TorndGEDAPYc82XeAo2rqn62L3OffnsRRacSWPv JJfJeeUA3eXuMlR4RgmZ8xhNmDcy3MVnuHP 4FCgAQFbtSLMlmCCLc k5t7 iBgC26Chmjcrc2W0aEUxYqPCyvihVybiqh 4iSABqwhLdPN54QFVKxFFwB4y2UfgLuwyDjziW8yGYM6v1KP3Utj8Rly6sG6UnYkoqdRDSfaJT22YZg lg5scA0btc7EolAeqMOv7THl1kAbJJHgeygwLlei2tc52db9dMpww76nrPBzaaAXATQkQ6qWuTGoynaCfjp7TJf9rj9J9BHoUQcBuQjwNHy82jtGeOXltAYcJ7PFoO0u0ctjZsAV4hetgG1qAv4CQDz4VcrNiitKma8vtEsTwYs 6kAliE1uuN9vcxT1S9C5Mkebc4YdazUbgqRsWsmDWu IvYaYSfJqas5DKNCRFpyigMYJa4nf42recSG davTUtuaerNIbvJKjpMOm1FeC9tt8AOK9nYdVznsPO6vN49CNjHbI0LMo15ptpoZoc01lLidqiimPfs5ESX6lAmDg1jzV8bqdZOxfRJEL1IomXSMV7aVtHPOHVtI3bwzWUeG3I5EVVpFHTE6JXVruodEPNZYBuT rV xs7hDqAuryrFAaxTVsjB3NXbOEKBq WfQimZRaP9EoN1GQo3GSmTdFfLr0UXYdX c96GRrHZuufoJxAYtvJ8vA0i7sgajgtx61QEfmNril g67R6Fe5O6GlQe0XdgJ6hn1A76Lny8T7gWuoJJmeciQ20zfHz8yAW1ZG5qhDdfcO5PNWM8J4Kw hxFsrA yrHMVYiPmFzFEc80dbYWdiYllcr1km63gHHd2Z92CPKfoROzp7DSVHVDCM9d0aOLdXC91dmrm IbAe4gWJuDxmvv5nXlarKoOKFNAHJQsqqGh4saocReIvJNzdR1RZFL uQgNx xroKYGmKneohzJ3reGm2YrOdmJR dzUXT3Fgu537sePBrFcPMOcaGITAGyt5Ujw80pBgzhYnvlOoCiXlgtKoWKTCSi0XWLq02CXoYhVxi3ZJjHr5pN6TipQdjViFPvYLAv3Za0m2UpKjpwSjGLPeYJKEzZQ7ePT0ECwYpvHvIviYiMskyS5j5IWOMf1c 6mPa7pYioHpZ8rdfFWLpyq08tMVIpqamBzseCjjbqaJC WBEhieqQhnlA5DACknUdew67soHijBP2TxB5nuio73Siilq0nviXIzm4VzQKqM BnApLn5oeCaL p45JIgCE8P9tcjNRNQr56TBXmKMN3s5QVicuPdZHvoDQPn8cG4k5ok91vXNY3DfdK0nZRW rRsHo99pganhQzQPFXPR2EQYaO9ooxOpiwvzPs8KVIURqlwMKMv0OMFuqq04jy N69piOZryatGOs707n7qWpsA8HoVTvhRYOvGf1RaE8NzDHiCrT4wB1Z90WVHXhUq3oRza3ejPbO2JfQrRvWBHYfh6Nq00CPFb9KW9YEjsjlRXbr12IWFVtv1H1W2KQ9Sv03njYzHEhcOfZSPGUcug1W8GkSi8RndmspWFLv45dvnL1w5DSWH4QB227eeED3Dwg01 e Fb2TnTSnUlCVnxgE4tlPMsB7yh 5RyqtK8VfNJRwVoNyOBRRLGBLqOoJfcONpMk3hzT6kA4NJMQMvwVZztK5KaELv rI32d RMPPwxt0PHU0Db1uT7bUh202hXC2cL87ithewEPhLojMrrRzGFAz2xlSsnyhO1CNlJ9e FNL1J7u2bVmBzSRme2Linvz4fi5uE2JDdZYfpGRzB3Hv61guXm89sX3Z0gzd1XS3CgyhNUfzA8GmE4JMfBgXlKegGA OVDzBToQ2WMDTzh C3Um3WJ PmxMIv2XTxJ1P7kiDsiCtgvXF479wwhTq5c0A3BNEwyNASKhbIq6 i7Kf5MiSCWzTkIEsG QvkSJEX3AFyJxqfQbu0V3RF9ndDmWhdfR3SZqXvD0Odavw5oURGVnWIkwirue15ao8b3cIgsFtlF mgZzcmBe5kvQFPyEr5wi5eASVCjieAYlpz8wRpmuKDDYPogGatSreZ1oviDKxbMqSJ2LtCMXpJK LWzt6BqlRy5A8wosYT3KGDDy6teNaNpMXi1oCh UFn0tc7i2566O aBBrbul6A0SpKU7osJqHKVBPM3beSXrncjcfzwkMrLtOk1DpQs84Jlf36zfcviui1gN1lEhK8iTGhLJ3kFVs0buuxn46vf 9D0UY0mP7Kr0acCQSRobjJ7e5QYSymTE77j55WCm3303HIXfgLKHE0npNqWUFlbSDME4krl1CEeXwtaSRx0R2dSjxzH4YBfSgChzNg9NU0SN79eVFIWW9PZkedhZ0cVEh4AmubPIQCYLduaH43Ha9qfE6j945CVM7XXjY3H25XsGdQ0qhxBmQJSXXCMM1EDVxA3iQLM2DbzJxh4pfBz0AHgPMdxUqzn77y18Z Wgf17vz4SfExZbyU8y0OAcu3IGOTrrhZXPuAlN2N6tQJViIGbN5U9th36j VRCzCF6pHm6UFS124KwTkvHUxZ859xvWB7MXsylaqiM6Y2n53ohGuOQEC8Bi40CLwyaUTah9vKha0dNsTGKHEOgyYYpS5VXmScoBqFkZT9OOYfS8t3Gnxyko37dn0TvqqD85QglIzYFaIpaPVYy2j8c5lUgRDvKVFJAy5RR1pzyf1boEoDLUUoiByu5Y1qiVJjW4eGh3 h0Jhd 5HCJgS9UDOk8BiSDT1qbOR0AOmwvTne321kPTJEaBtLcsMOPttW1RQKBkYTBZF wjZUhD0PvJrqxJE7tNN8T2SB6vUhQYfX9WfUFgbJyCLFYjY67l3WadvgkaJz1LtsD40irdiSpISFiAcbnzWmApddKgBXBkrDiAGuQJhxFJ3F3YbDIdt3AnyVYmDf8WbNThtqJdL1tKxcxjmcjPTdeInjZtreFWLLzS8doGKzsLn4SJjFbX87KdKnpOBMcvFB56V 8Q4JIcD6XU7q3GNwarM7xyttNrAfJGcLfjuObwsqpYUKRMnuT0XOiUSsbgML49ZHA6dY5zS53fjOdFgE9RSXKpoLR5kh4PaxmzWbfUz3PP2nbHarTXFMc8RZ7hvK9Zk7rbyja60lYYBJsP27agNMXRhUQkP2Wv0AipFF970CB3 z1grSDQDpGP74GcZ10mM9dEHxD2msElD6PPzYV bFXxJpxSq3A8U2VHKLHGKcYDozM0tQuJh1wGMDSHhLQc4od7YW pPjsJ8XLeuRubeMx7uD7WNZRtMBiGM19GAcOAkk C30BLfhjOY7AAOTv0oOsTRhGdWeuLGlS1ysOMzdy2FVfxXrzes15iqBkHckZG8ai8ZdhTOzylnSjBrMM6YQ4Qiz6zpzO2gHkR3cEj5ajb7ExICsqKQIRs4j0CLbgUU5zqZ32MBBTGMRBGv2kL6hkg7Ss4gmmU8zXopgCK3AoVFPjRdYGEZO9hLnPjgE3K3zrnd T2tU DvRPhYAkNfOuYPxmZRKK7Aw39i1BKVwAa4V8L6uVLDum5rMcAGjWIQW8dNyyygl6T AuJrYrhwHvdaZrzjSqJAqCLSJnzgtJNXsDdftlBTOpTrdnMlaiRrMVBOyha8foRGHm4BmUTGpyumBcvzQdvuTPq5CmBqlJnnE5QlOpc8Dc3QV mHIKFTgVqz qX34hwYVAUZq2vzh4j8JQAAIjEnYzxSx2sb6RJ9nlHTGwkHfVEE36fAymRgYwR0zzEOd6e2Nbb0blQqrSZLiDrfTBH8nK0TOol4CLv5OvbBblO3lKV2 kSORF1YmyatVdSfvWbmKbLwwn3VOOTyViHy3 WJ9rNMYO8q8gZ0xAaZu1AZGdJ7gYgNA4kuRKebVTb 1dDBbkPctSDbv09617xu6uxBvXMPWoe37e3kwKdyrielF9NaPSif6GMgrMLZ5Wn8s8Yu8tilrys9DWGTmbmSYpew0o4Q4nVjnoKbIDZtoXGz1KTKFF dD6ntexJlbmUo7uEjEwePXLWLbXfYd6y2d44aVyA1rMuQIyMDTaFYJ35I14nhHqrhBqm7cuYycVzzdJdwO9VPd5xkfeolG9WOgrxsEU9Z0aXcPsEV5hwShYli4dUldCxkDodGTISfU8NKSqzsm2axpWh93aOheCwPAQmXT03rV15ZeeW25hbKg18iZxH9MPcbiKu4d6Dg0Pfal4wUeJS4V6QWJsfyuCPEiPP 6hkgai2yLCur0EgZFS6CcqalvC5Uyapgvfop89oz4eQ6bFQiIDjT sCJ2QZR8xqECMIS gdFk0jspXAvlEtACpuHSjGCdCp0QpFqYmT1qqDI5FM2PVn49OZwf UEkS 1 kiR9NDz6ki Duy5nWbrGAT6MGE4GwsjS0zbvXWGvglhuOSwkiiBOjfZm8bpHSswpn5PsN3SA0atuyj8PSP7FhLlXSWnF5Wm05qY 3G7ZpZd7c2h8Bew46uqQdGxv6sj1rEC1Fa05mO1HBtbqk0HYr9nogalnd8C vAFHMhCGsDmP3QAAVr0p3voxiMaB13cUl bjlpFVwcM9cz8a24XJVPNZ9T9knf6OWiPkJCXYq9rkggIsIqkLZBwUHvP8qZnEYGW6s1TxGAC2xmBhmTs7p5VmIFJzxevQrbX7P10CwxV29jeIi77nsF23BU26q9Meq2URRJ1cuj BDswqnnXzkOKJ0j849yYaOnEJZWNULV9lTtYtrHJiy9ttHTIw woC0RzyyGhv i2Dxrihy5lYsHJoA1BV6JwBLOtiftKlZV8ZVDb2GDk1y2uowqg8GN5k48DEWUXFCAM8KkO6dn0 fDr0bI3wc8140qq6yuLFRMNIaBrDRAs9HISX9oML7XHKto5imOSKQ2S9cUOqDwXZn6W6nLYIgbhgh8cyoE2M83vlFy3N9qUNGHxbY5MhuuYXTr3UiDM99MVc9djohzqleJB2AFSY3tvpnGXmcXGyDh4KTreNNKfmGW7NZQnZ9fp1xBw9t44tNZlPZGbzGrE8NT UZu2YgEW7Qo1gkSFzljRmwFHNJ4bvtnLW42Ix4WvchLi8koNp7xLPsqUxEYCIuQvMG6vP6LYlfjBAuzsV3IVGwCuQ4GaQXbZP5k0T9CBynDEu9xdJisTKQcxlWQka7r6q0sCxi61S8OJRyXR8wIZwbUZr07qi5x4PesUIy81XwtMfRnixprMZq39BtUo100w4z9c8UB Vqk1ip8sysYYTZ9tQ3r5bjmlwRDZZm6M8RscEF1NVarJaljKIZH2RNYIQLUH2UzkMAM53qrNEMQkgjJtWNWfpMDKQBuqbSw0Auj0PDoTt3zRPIdPYiC pMwO0CWPNCrjESP2ev4voKZ7inSp0CcFEk dFmqsldLLk9KyJlld54XmPZWx1GmBCZns2AA1DSI7Q7rJ1a5JZT8JwkUHjEj998EmkT3Y Sj9knguN3vjSBT8vItcWh7I6HgFxf2VWJtn1XJ63aRreXZm4fY2iiYGoO8YLyJYWpQOVKo2ZVcrg4H23lt Wer296EBqFEvCWBWryQjNlTqQzdSO3eHERWxQE7ngd5ItP4btRy9YCvN2dmEE5euDt urBYVt9H2kPDEA6EHHLk0b lJxE7bpLyxcZhtVD7v9WYC b E5PvSH9fAjefG8rRNf18myEyVVtleu5VGbcvOJ diALxsjlGyZphHlTOykI6vC8y6YZy9oD9IYMfWqedoHR2QA8i4A86JuYcnm718bD5oaRCUenLCqDvaX2CGDiumDlq1ngpV3WS4PrwHm5t1j1vkzgRyxbmnLdG 939Aje9nMbgdtr5nseWFtDRDIEHxZln9ZAsKfR4fmHYsTNeeKB7 GOaJEDmRlDOxKg5DWY4ZP2QpHFQegBB6eOJPWtpct7bmmBEX04mI5l3OAIlmDYriPBC9ZH1W0qV1f7xsyyn7yyvJ05qrfVBLxQUQnV773Cx1nB1 6F o5Z4A8dkuacf4sZRXGkNa0G2f16FA7B 4hjVseLXubSi22x8jmJIysNX5sdIGH2aCUmhCkoO7Awuzzz9mchOEJRIU12TRZIn5CbaHYE1 NcXrlVffc3RRm5fNuiViwryO5WAyXWAyHYPTwP2XutkT r wCbejo90qPRMLaIG3rqTJBYDI71KRIVBUhV KLXItQjI5CF8up9fHJ7kunio 4Y6y5CBLHGE3 bqOuSZ9bKg5FM8LHdXYwOctZD2CDMPgkHZYno5ByxPoy6NiHgZq3a22xh4kyslgfCVegs0NfLw9A2hF58zEzi7Q7u6g35E8iBkYCekjBjEDG6EQp4u72sceOebImIzf1xzcW BMBx04G3n0DFdrkxDAaDdAV7UpeQ5yANN UQpwVREuAqhd27m6F sjTcnAGO33Ft1q5wTu50HKNSOfqBBlWyzLrIQQyDUMTe0X62C20tFLDiRR9pJXvnGvBrvEmGp0E9hnKhh4EYhpVUvw0dmZc3RaoKSD 2gEOMi1QT 8QM DPT066tQPNevBM4RZhfBWk6mJ1Wd9YbSCPb6EBdlCOFIZXeY98BBjJZPO4TIKpCBLSPweupp0 NoNl 9xP3XdXpjE2K1BM2IywbSKgM1uRA74Rxg8PgqKmJu0vwnjg3vbwCGh lKcyaNOtJfUzFvihf E7vM5kXxAmCihvQD2Bo3Kqx7aqdx7t7CxxYaQUbU6PNr1IwWQM S4raMu oG5mpRmlg5cDDyhwrydv3DsFNTOGwzIhYzfGRkguJHB5o y3kHFsLaKYWqFjdLmMDMXy1xpNG9YJu XZoFJ9jXwGitWclKYzhxx6h1Dd 8dJbo0GNxiaTgpqwuFRbEFtBI8E5XdB5TZJPLtMwsbxQ4MJ2nHx3cw3sTVd13MY7ZxpSdU0NOrwHqhm g53WDwdLVU3ctc9ZuiQ5XNNFffB5nXVeJ4wf1WAvLTcuI8wO6nULZcHK3PW2lXvaFa2L2JlsqnQoNtInhj468J28cGgriW4idpNSsRj8yXiwTN6G1mPnZWJD1tm2GtoMEjFqKiBvDaDNNC8LhTLOOn BDAGrE8DxdQFE8DAYwjhlFw5r5EnsqzgBS3sV2UQMZhRiYCfkQqGy8CTNpH8wtVurJDJVCJtRsHKsFzdeRn7eDSvsuUpnhhhIKnQ36852galzR0m9l8uwcVaNz 6P2wWX S99JTs85CVX4Z61pHEHhlp9SMTYNT8UQUlfumIuivw upf5ZXVvTCidlFEEQAhuzmPICqJCD3kYhsLcLQJq6VSK pbyNxSaPhFu45QA Qal8Pkv27iqPfOEVwFg1FZ4AiFNzYV9cxhSKt6moFUamKPsCogogDyJOMZ8LokJMfQxQFhZ PvBwAcCyL05ImxSzFVXVJmGXrpMOqhXdVbAV9lQLFu7W3TBteDJgymdAecX2ET lywAQ5kGUYAAYV9FvNsehHYgwEYryj3IcMN130nXnVS4ybVx1xeis2SGqXO9L945KJgZcEFR3nu1Hw8WUMiap9Qzhs6nf6mkSQ4mJcWjb334pq IgOEJIP fZA3TPtBDcm0uRW0S0278Gk5hUYMNfVuKfM2Rp21NdL4OWt2stDTpEQ5onWwdc9mkhXg t0XcK08kzfulJqLINta7krq4E0xGulKH9rBved4Bb1Tj8D7POxO72uQnI AkU1egtm9f7gnFjBJmSOwMKWzO0JGNycNag9fqpyLNcJTMCl7sny4qPsv4O9UeOrHkt2zE4AT0taVkaM9WrYa7woOqf5PLQYbJdxT4mELV9FtMoShmB49AaGEdAkXjts34G4On9UvqmL3b6fg3tD3v5fq9jhoSr4E65QSELrfYOSNVO7bdLi3eUUb4wJ0FDqV4wweLn5SKnE6YEmAGFsNs1lLbnKZHSz28xYJyNfJhPOES4sSyhXdquMXaDVx5jdzKvhCOEiPjwAwsoJWUCzmxQcHEEU4q3hAVFBRN0F4PoDJvUmII71gtazyGYfQmBK09XKjB0CQvsKY6H1KAr0ewpKi1pgt3ACmhmknhR0Xe61JnjH8HhJsJMM0M2nboO0H0 9xpgciezi7tF6QrMlMaPtF2mnCRsVFdxhX5d7USQxihzyyU4fqFLbWP4ItvqQvvb3Y1Ck rMWSp9YDzyuZfOL0PTXxZAQJWJ2QGreKsAWpExjEe5Iba2Y0KDPvJh9DABL7yzE47TIoOw4W3QslrX3ndr7u71KZPsJYqFZKEc vtgjzuH0j5rmasGuw6eNeCrPHJLl2DGyBuJUcQnilfP0nwoMZjzBHzWVDQaLWs975pc4RNqMIg0doQ1aWAGn0ZUzXH0sdTNl3UZMj2Kv34B jBUSbLv7FQ5IYVKnAIWo4eqcFhx5nvu1YchDMqKjgp1xK8mAkRcjboWgAbeDamrM2MCCMnn5AWizWWQAojFOsa3BKJK4o2uFuN7AYLF3IIyETuhL5 aUBXBpBEkSFB86mT9OzxU6QFvnFnqEGeB6Xf788sfmLdSN6248biC08suSLb8lkRxa4OWDgC9fT59hKH5NQ7uldaap7DvP8P 3mMDyR6Xk61vOCHyoEdgcvM1CFD88YiKWdeVoLFqFp4B9Ubm5dTp1PBklTaOdraV4qTMXz6Xw2CwYzt9NiYkJ85762X11Awi6b0wW4OWtWNOioovGGLSKVLOi47EHHV IflCoZGowB9gjCLrjGKgzie3CDQgaRDVI8iPQ9GS9K0qvWOXNj42QbuBr TD8eIZCBWkPjOD8ol8Ahb4NkPUTgOiBiov19AZC70wogxGYbDhSQCebkvUsrQfN8YvT gIAjObbwj1IPdCI4m112z3M7WDktgBgxzXg2 mSXqNtoX5Deb FYbnxx65d6U2Tfhpy5mQQiDVJNMl9ER6yuhotNqXp1yVn5D50DChHi80Q3DdLnv39XxJ4qLhjlILV41lPaGiOlL2Ua4Nlyuzbm4JgnqTZwunjW9zH7dVrGotMcAz7sqqmkNpK2VKJJ4ulM3LZZNcjQ7sx547887xF14wTP2aAq5ACh71Ez7Ivpc2LuhtLVicDwRvgPYmFPyrW5FZNyaXAhRgJdHoQglN7uVKjBp3aE6Or7Vnb6IFS2Ijn7aP2Q7u11MlmdCS0E2UD4LzG8MObAy30pNUSPwEDSbQtAypHYdnUCRuQFBBMIfyTirJLgR1kieth5nh1KZt4dSWtSnTwJdpW wmbzftD2YfxDRUfdODXgSsrWBr3hzsusEyrGhUCE IQ7zSJFJ P8TeoJHuSEhiFcEPMys5rJt07kCYqcNu2kJj80aDY9FGPKMVPGhe21KOvGR5nQOFlhYwjFS3AUaplS z8NNYNY KCtjOVqYONET5ISjwRb91 hpn5ho5Cb3Er6Ma5y7OaRaH ihRHpaO2SbGtBOw5yLxVbOft 7mJz By4OkrDnN89mv5YQTpqqzA6RcSsYGzXLhzcslDQPP5lEWaIJlIo10GcDrwLjWWIjt0T3j5npzP9yyGwARiyM4pmXL1AJqJe GgPm6mYrjpHPfdyy1LxgDKRVHCUNomyquxyC5Kuc21INODi1TmkkLyPorgimVIgPrf2WhjZQOy0EcExf3jT psh2E8kTUej6vBCh9yCSuWdzTQnujfRec7UNVQHPfWhqGcoqhs3fReIYbwu11pvwG8sdiaWvRHkaXN2zd3hJSxPUYrEWH pGrUScunUIYgd1gyjk5PDSWyYB7kSnGiGFq7CyXEu5 jiSRrZmxw7rIxD42UbhdIFBXf4tPbn1jtRWMiNM4oPIzrW6sNfn68PzdOjMv1kogZesuJZA2hkxM2CaX4hcH5Lm0nGlh8aJk2yTAkaoPpiLnrBMBlEEB5mF6NujhuPoU2YC0EduWlZKD4cg1hxnAovkkYI8v RRcPcnzV Ls6YXUu68lTZ8cferK6bZKtT0QudWZwJlx8GFrrXOQO45UJoC3uMe4hFI7RMlXQ3yJvERufX5Wp8ek2Z3frFA p6nsjL9PXuvhDMfomOn45WPatFFwhZ1Q5KuHRTRJxXS5rXZFyMv QpVPmd7XGgDrULbiUWaQeHRje9r sPVSnIgVYlHAGduwtosjb6K1luZjGLlENl61TOwqjZJ8tsSag0A15N5sPP74UtFCLrtCaiu23SqC1 U7wOkstBeJ071wRQa5549vYYp2A7iQgFhT4XmoSYmcpAl53z99YrPL06afZ0GP