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
How to create a football lottery algorithm 14 points?
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Quote: Originally posted by dr san on Mar 1, 2017
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89fePKCwZl0Qejnnr7x5QWDMuiIzZBwnbXkd44dkKwKSvsiN22YrQGWsMwzHAdUVGLsKpUUXshexJxK5S9pVKijIfhXKEldmlRpLZErxl4FJBUsttZjIPTKCSa3FTknFuyGJ1nKZeMqVkKOOrqaG42REJqU8tkMXD9nle6I0h7TPFfyyPB6M/xBsVtmLkSLIqUvUzFYimUAwTUOgk7xFPYin718mswDVY8KGdil1PlQna7Y5+R63/fLd7HRLskKUgELUmgoMPNB5v6xcYtnm601GWxTd8okLZahtmgwbqc2IsXUe2nIb1B6Rf5PlgsZZuyD0c9Iv8vyw7DzdkGoPSL/ACfLCsLN2QrOlETZY1i6hQHJpVH3YEtS83pbsTvOQU4QZii5odmjKT92KnF23JpTTeiRf6OekX+T5YkM3ZB6OekX+X5YdgzdkHo56Rf5flgsGbsiM2QWPrF5Hm8PdhApa7IhdlmUpAaYsMw9ngPuxUY6biqVEnsL2FBUqi1B1U5FGQ/N6oSV2XUdlqkTvKWUqDrWWGJ9jIPTkwSVgpyvFuyLp9mUmViK1EADZ2G3fdakNxdiITTnlSQ1cA/w8r3RFw9pniv5pHPdFNNbvtc1cmzWEyZmpmKxlEpOyE1DoUTV4sin718ipT6kKbZfk41dYfq3xz8j1iadTKt7HQbtkrUgFK8IYUwp5o790XFNnm6skpaopu9CiFssgYyGwp3MN0Qi6ltPgb1S+kPhTDM9OgapfSflTAGnQNUvpPypgC66C05CtbLGMuQoDZTQuiCzuWmsjdjN5SlgJBW5JDHCmm0l4ck7E0pRbukMapfSflTCFddA1S+k/KmANOgapfSflTAGnQjMlLY+sOR9lMA01fYhdslakApmMwA5KalhDUXYVSUVLVFFiSoqLLZ1U2U0ZNf0hJNsuo0lqSvFCkqGJb73wpyD0gkmmKm04tpF86QsS8RVsgDZwppl+FIbi0iYSi52W4zcA/w8r3RGkPaZ4r+aR4XRvS267TMXKslm1c3VLVi1SUbITtBx2iKIpe9fJqqal9rC7Yce9s+Q2Uc3I9beWe3bc6JdqJhQMCkpDD2TXZG8KrGii+R5qs4xlqim7wsheFSQMZpgOdAfbjNI0q20+BvBM56PAfnh2Mrx6Bgmc9HgPzwWC8QwTOejwH54YXiKzgvWywVIJIU2waF0V5cHMtZcjZK80TBhxKQSTQ4DTaS/tw5Jk0nBvRF4RM56PAfnhNBdGcEzno8B+eFYV4hgmc9HgPzwWC8SE1EzCdtGR9g8PfgGnG5G7ZcwoGFaBk+walhXlxcYu24qkoJ6i9iCyrZKQ6qbBocFfbpQHviUm2aVMqWpK8gsKGJSCWd8ByDuOX8Ick0xUsri2hifKmCU5KMIA2cBoKff3QNNLciLi52W4zcP2eV7ojSHtM8X/NI8JozfNyzZi0WCQETtSsgiSZZwAbQxEdlIoinfOvk1hkjUheE4HYDGM2z5HV8I5uR63O8+XS9jod2ImFAwKSAwd0nmjfjrRo0imearOCl6im7wtl4VJAxmmA57/b4vEI0qW0v0G8Mzno8B+eCxloGGZz0eA/PAGgYZnPR4D88AXQrOSvWy3Uh2U2wc3RXlwW1RfpysneaJgCcSku9Ng85L+3FSTRNJxvoi4Jmc9HgPzwmL0mcMzno8B+eEGgYZnPR4D88AaEZqZjHbRkfYPD34LDTjchdiJpQMC0NR9g5sPvxUU7aE1HBPUXsIVi2VJ5WzsGhwV9ulHhJamtS1tSV5JWFDGpDs52Dyav7cEr31Jp5XF2L58uYJW0pOBhTAXan34pqVtSYOOey3Grh+zyvdEVB+kzxX80jwmjV73JNmLTYJKUTtTMOISSg4AnaDn8KRbM6fvXya4o9S+3gfJ0516uIMcy2PWp+u2l7HQrsTMwDVlDMHcKd8IzrmzRokzzdbJm9VymwY2XhwAYzuVnR9/F4jU0qZdL32Gmm8Zfcrzg1MvT3D1vGX3K84NQ9HcPW8Zfcrzg1D0dxabrNbLfA7Kais3R1w1e5foyPcneaZjJxYHelFc5L74cr8yaTp30uWtN4y+5XnCdw9Hcz63jL7lecLUXo7h63jL7lecGoejuQmibhNZeR3K4dsGo1kvzMXambgGEo3PRWbB98VHNYVTw09bi9hxYjhwcrZorPBXfSEk7l1MvO5K8sYUMeB8zRXJq++CVwp5HF2vYvnpmarawYGFGVlRqPDea2pEMjnpe4zcH2eV7saQ9qM8V/NI8Jo1MuMzFi7wkT9StsIW+DDtcqnCKZFK+ZfJrxKVqWdeBsWSa5h+VXIxzrY9W5pT5X2OgXYZmAYAlmDuo54R93g2UWr8jzlbJm9RTd5Wy8KUtjOalZ7/Z4vEGlS2l+g28zhL8SvlgM/T3B5nNl+I/LDF6QeZwR4j8sAekVnFetlulDsptpWbo+7Aty/TkZK8zMZOIId6bR5yX9mHK/MmlkvoMPM5qPEflhC9IPM5svxH5YA9IPM5svxH5YA9JGaZjHZRkfaPD3YQ1luQuwzcAwBDUfaObD7sVHNYVTJfUXsJVi2Up5WztKzwV9ntzhLcupltqSvIrxDGlDtXaVyav7MEr8xUlHK7XGJxmaraSnAw9pTtRn2XinexMMmfTcZuE/4eV7oi4e0zxX80jn2itnuJM1Zu9R1+pme1NVsYdqiy3CKIp+9fIvKSoSqKODCa4BlkTn974xzrY9VLLn7nvrtWsIGBAIYOcW/COrhFLMedrRjm9TKbvWpl4UBsZ9rfR8xxeJLqJaXfIb1kzmDxftDM7LqGsmcweL9oQWXUNZM5g8X7QBZdRWctetlugOym2t7o6ofMu0cj1JXkteziQHem195L7uyCV7aipKF9GX6yZzB4v2gZNl1M6yZzB4v2hBZdQ1kzmDxftAFl1IzJkxjsDI+11dkA0lfchdsyZgGBAyD7W9g+6KTdhVFC+rKLEs4tlA5Wztb8Fd3B4SvfQuolbVmbxWrEMaA+/a9mr7oJXvqKmlldmXzpi9XtI2GHtHKjPsvDeaxMFHPpuNXB9nle6I0h7TPFX8aXyeD0Yu+40TFqu+alU/UrAAmzF7DbVFFuEUyKT9a+TXokq1dCrDhNcG4s5z+78DHPyPWOcc3c6DdsxYQMCAQwfa34RualGi03Y81WUc3qZTdy1MvClxjOat+/dxeI1NaiWl+g3rJnMHj/aHqZWiGsmcweP8AaDULLqGsmcweP9oAsuorOmL1st0B2U21vdHVAtyklkZK85i2TiQAXptfeS+6HNsVJQvoxgTJnMHj/aELTqGsmcweP9oNQsuoayZzB4/2g1Cy6kZsyZhOwMj7XV2QtRpK+5C7ZkwIGBAIo+1vYdUXFysTUjG+ovYlnFspHK2drfhrurviU3c0qJW1ZK8piioY0B9+17NX3Q5XvqFNLK7DE+avVbSNhhXFVqM9Hgd7EQjHPo9Rm4Ps8r3RGkPaZ4r+aXyeC0Z0dueRNXMsNqEydqVjDr0zNkp2jhH4ViiKfvXyJy0qEoimHAdopU4S9W/H9I5+R6mUouV3e5767ZyggBCCaBy4zwjuo0Um0eeqxTlqyq75pAXhQSMZriHU/wAXiVcupHa75DWuV0Z70+cPUzyrqGuV0Z70+cGoZV1DXK6M96fODUMq6is2adbLdBdlNtDN0Qcy8qyPUneU5RAxIILhqp5yXgk2TSgr6Mv1yujPenzg1FlXUNcroz3p84NQyrqGuV0Z70+cGoZV1ITJymPqzkd6eHbC1Goq+5G7pyggYEE5PVJqw7opN2FUhG+rKLFMZRwoJ2tnaBfZrvrvhJsupFW1ZK8ZhKhjQQcjtAbNXOfxgle+oqcUk7MunTlGUykKwMK4hlRqw23YmMVn0eozcP2eV7oi4e1GeK/lkcr0DRcwtCvQVWoztRM/qvhwYRizGeUWyKfvXyPSUtKJAJTgNWS4DsRQ5k7uqMFfkeolbPvrf/4e8ugzdWMODIO5OeFOVIqOax5+vkza3KLtxstsHLOZU7793GI1uaVcum+w56z+33q8oNTL0dw9Z/b71eUGo7x7h6z+33q8oNRXh3FZ2s1svkPVqqzdGdIet0aejI9yd66zZxYHejFTZpd6Q5ZiKPh30uX+s/t96vKJYvR3D1n9vvV5QajvHuHrP7feryg1C8e5GZrGP9PI71cOyDUE4X5kbqM3V7OBqZlWbDqi45rCq+Hm1uK2DHiGHDyqPizwVenbExb5GlVxtrcleuPEMeB23FXJq+7OHK7eoUnHK7XGbSZup2sOFg5ri3dUN5ramdPw/E0vcZuH7PK90RcPajPE/wAsvk1936F2GQorkWaXKWUlOJAY4VUIijGMsruUJ0NlhOATpwSQxDpqD/4xGQ+k/qk3LM4q5trPYFIGFM1QHup4Nw6oFHucU6qk7tEZF1lIIEw1L8lOZ/CDIVKvm5FvoSulPhT5QZCfFXQPQldKfCnygyB4q6B6ErpT4U+UGQPFXQrVdhKkqMxTpy2U726uqDJqPxtLWMz7uUtsU00y2U9R4dUNxvzFGso7In6ErpT4U+ULIHiroHoSulPhT5QZA8VdA9CV0p8KfKDIHiroYVYVENrT4U+UGQFVXQjIsCkBkzS3up7OEGV8mEqqlq0RlXUUlxMOb8lNKNw4QvDtzKdfNujM+6ysuqYSfdTlwyinG+4o1rKyRJd3qKcBmqKeGFPlCy6WEqqTzJDFis2rlplgkhIZyznuilorEVJucnLqJ2W+7NaQtFmtMmYoJc6uYhZSMgohJpWB7Ex3RV6NMZjONQxLV4uK50aM/wCzqco3vlJhynDriFFTA4cyGLBz1fGGttyGle9iCFrIcz+UNk4MmqfhCV3zKko39phJUp/XnkuNlgKmvwZof9jaS/1Ma1bfaNwUdjME0PZUCC/cLRv7TM/Htf4jCzE7OT0FX4iE/kI2VvSWFS3Sdcdk4VDByi/wzEPnuRZW9pTLxEfaCXOFwltpLk/D9INepbsn7S6ZLmFsM4inNB/HOFfuTFxvrEypEwgeuYh3ODPtD7oM3cXpv7SGpm/5g58wZbhnB/ZV4/aTmS5pNJ7UA5Az3nOC/cUcq/1JSkzAKznqPZGW8ZwX7illf+pFcpbBpyndySkF8qAbh5wX7jVr6xCbLmkuJ7V5gy4ZwX7jWVLWI5ImskBRxHeWZ+uKUjFxu7oZizM5v/De03MubN+jELTM1W2VCY2DEG5ZO+Eyke5jE3FUTgFAMXMxTdRDAns2soq42r3+DEgAiWBiDhTVqKF3Iz3wRHO6vcxIwsGBbVUfPC5oevrhMHf9kHS2SqS07xRLpYdRy7WMPkNXuvkla0IIXjSSHSD25giu7FCWwot3VixwTvczPiDn2Ug3YuX9FMhUtbYapUpdQaOBhPwMD2KeZbiwscoNszKpURtKaj0zzoYnIjR1ZjyrUlKSWLJSk8ScTgDrNPjFGWVuViRtNFEB2IHa7N/uhBl2JKnMSMJosJem/eIbiJIibUApKSC6lFI35NU9VYAUdH8GRaNlKmNX+AJPblCQZdWiKbakhKsklJLndhIB/WGxuDvbmQN5yell+IQrleFN8jcpLhxG6OIWFkkygpSZaEbJcpSAWFdwgGld2NQNJbH0h8KvKMvSfQ4HErkYGkViflF3fkqz45QXiDwWJ5oE6RWIMyyMOWyqnwh3iDwOJfIP5jsTvjOTclWXDKC8R8DiftI/T9h524DknIZDKFeIcFiuhk6RWLevMvyVZjI5Q7xFwOJ6Gf5isXP3vyVZ8cs4Lx5BwWJ2sB0jsTg4y9W2Vb890JuIcDiehgaQ2HnbiOSrI5jKHeIcDiegHSCxV2swAdlVQMhllUwXiHBYnoB0hsRBGOhzGFVfhC9I+CxS5GVaR2M5rOb8lWfHKC8RLA4nkjA0isXP3vyVZ8cod4j4HE9AGkNioMdBlsqp8OuFeIcFiugK0gsNAVZBmwqy4ZdQg9ILBYrdIgb7sBzY/wDgfKF6CuDxfQ9BYrQiYhK0VSRTdSNkfOqQlCTjLcxeX9KZ7iv0MAUvevk5FZZpQpKgAW3HIjeD2iOVPoe0nBTjlZshfq3xCXLCt5AqeuKzM5ngo2tdjNhtxmlkyZDpDkqcAuf3hp3MKtHwlrJ69AFkXqilrPhw8veAXr8IZLqRU7+q/QaVKU7auyvln1GvZDsZ3Vr3kVWqTMWkhrPVI31DVYHfRhCZUJxi7+onrZikBRRZwhgoJLhga0HGkMVoRdk5XKLatZCkGXZwyglxuKmLiuWTwtS6eVNSvIsmylqSUlFmGJw7sQ9KcGaASlFSunIk0zNSLOSRTETkAcq7I6oZPpW2YimUtainDZ0lBYsSMWJLMS9A1e2AeZRje8nclZFLKAyLMEt7Rrm1eJ2YS1FUUVLeVzOGYKlNmUcnJzZoAvHZORq7TaDLxylS5RO1tAPmfZL7t0Tex2U6WdKakyz6ZTV5KDTZcdnK45boM3YnhJaWkxG22rWEHAhLc0M7l6wm7nTSpOC3udK0V+ySfd/5Mbx2PK47/wBE/kdvNTSZh4IV+hht2Rz0vevk5XdsozkgokI4AGYsZN5xwRqSlsj1tZqk7OT/AEMWm71oTiMiWQM2mr6vOKcppbIzhWjKVsz/AEY9BWxOplsFYT62ZU08xBnl0QeLG+sn15GVWJYOHVS3JAbWzM2JD7jQQZ5bWQs8fdd/oku6lp5UmSKgEGatw7s/dDzT6ISxEXs3+isWBThOplBwSCZqxlhG/wB4Qs8uiG6yte7/AEY9EU7GTLfCTWZMySQD+og8SXRFZ0le7/Qwq5po/wDry82/qrq1DDvPojOOKg/9n+v+CUqSVLWjUICkYXeYv2sm4xCqSu1Y3lJKKlmdn8AiU7NJlnkv6yZTEopHbyXg8RvkhOVnZyf6/wCDU66lpzky+A9ZMrR/0inKS5IzjiIy0zP9EbPdq5gxJkSmYEvNWGB498ClPoglXjDRyf6Mm617pEo0ek1dQz045w7z6ISrw3zP9f8ACM2wLSQkyZeIuG1kzMB/+9sLPLoilVi1dSf6CTYFqxeolhlFNZqw5DUHHOBTm+SCdWKt6m/wL29JlJClSUEEsCJkzPP9N8TOrKPJGtD/ACuyk7/0dH0UmBVkkkDCCnJyWqd5jspSbgmeZx0cuImu5tJ8oKSpJyUCD2GkW1dHLGWV3PNy9BrMkMlU4DgJhH6dkYcNHqz6UvqtaW6X4CZoZZgC65zb3mqb8YfDRempL+q1Y+qy/BrrJdV3zGwT5xxKI/qq5Qzf4VjOvShQqKnN2bCh9Tq14OdOKaXY2R0Ms3Pnf/qqL4aL6h5rVXJfgyNC7OK457/6qt2UHDx7h5nV6L8GDoVZyXK55Iy9aqn/AFofDR6sF9Uq2skvwZ/kqzu+Ke/HWqhcNHuPzSttZfgwjRCzHKbPLGrTlFj/AMGG8Ou5K+p1Hso/gkNC7O74578dap4XDx6srzOra1l+Ba1aJWKWnFMmzEJpVU4gULjPrLxUcIp6RuTU+sVIq8sv4Ir0dsQQJptEwSzkszzhL9bsYfB65dbkP6zJRzPLb4CZo3YUoSsz1plmiVGeQkg7gXY0ECwfJXCX1mSWZ5fwSOi9jCsGumBQHJ1xcDPL8Il4VRWbWw19Ym5ZfTd9jCdGrEUlYnzClOatcWHad0RSpQqv0Ns0qfU61JepJf0TsuidkmJxS5s1SXzTOJDihqN8aPCKLs7kQ+rzkrxUX/RavQizEMpU4jgZiiIjhoPqaR+q1ou6S/BvbusSZMtMpD4Uhg5cxvCKirI4K1V1Zuct2XzeSW4GGyFa54bQSy3gmcTbNZgwUxKBGJ+rqjCl4mZ5j7X1KeClSj4Fr31PSaU2QTbNMQQsuMkFlUO5wf0jWdedBeJBXaPieBGv/jm7JnMZi5UhMuVLROmqWVFIxjETshgEy65QqNFfV4uvXeVx00HVrz+jtUKCzZtdT1WnNomIFiCZU5SQrHMShKlkBODZJSM6ntaPo4OMUpK/LQ+djXObi7c7sqtekdvVaky5UhaUlSMKVSVYShQdSlryS2X/AKi40aKp3kyJ1MR4ui0NZZr1vCUibOCZpEyeUF5KyUhNQsJIcBTtk2zGjjQk1HojJcRC76s2tivm8Zi5UtSTL9UZkxRkqqAScNRRZSBTOuUZShQSbWuptGWIbS7Gost7WuRJQqVZlyzOMyYvDZ1qOJ2SlQZxQCp4xtkozk8z2ML4iMVZWNvdd/21dos0paJuFSQZp1JSASHJUpSWbIUaMJ06KhJrfkdFOdZzipbGq00tervEKtcuYuzADCADhNKtuJfMZ5R0Yb+B5GlI5sVByrp1FeIhpDeOu1cizyZupkSiooSCSkqGJ1HglwO+Lw9qd5yauxYmDqWpxTyooNuNok3bZgaFawvq9YhI/KVwNxhKpO4/ClOFODRudPJkqZM9JQJwEtklctgFFyQ7pLbw+94+FhsVUxEpYaKWR7tn2sThKeHUcTL3rZInpXe6ZkuzWSxoWtEwCYtMsErKKEJ7aKJfgI+lgMPToJva2x876jWqYhqNr33Hv4TWwlFpkkEauYCEnMBThq8Cgw/qFnJSQfToyjBxa5m802lWxUpIsZIVi2mIBbczx8urma9J6D6fLDqpfEbG3uoTBJlicXmYRj7d8aR21OSq453k2HIZmKXjaVICSmWVupiBmAxr17ouEcz3sRKTWxrhfqiNmzT92aCO34RfhLmyPFfQSnWyUnVrFhmEpdSCJTlGJse7ZV+sKnRUU4xaSHUrubzNXZs5l8Ef/BONWog8wLfsq3aDCVPuHidipV/HYIs89lYn2C6WIAfg7w/C7i8TsWzr5KVKTqJxw7wgl86jjlAqd1uPxLcgTfJIJ1E4M2ac3Iy7Hr2QeH3BVNNhaZpAvWBIs07DhJUcBdxhwt3n4RSoq25Lqu9rF0q/CZeM2eeC4GHAXqDUDhT9Il09bXK8XS9gXfVEk2eccT0wVDOK8MoFS7i8TsEq+XCj6PODYfYqcRI+DV7RDdPuHiX5FK7/AMCXXZ5oYsSEU+MPwr/7C8XsTF9Kcg2abhcAbBNXYk0ZsvjC8FLZofjN7oyu+TiCU2ebyiCSgswdyGHY3bAqemrB1Oxk36AlKhZ5zqCi2DaGEJJcdeKnZC8PlcPE7D932zWBRKFoKSzKDPTMcRESjY0i7jkQUEMDBgAIACAAaAAaEAQwMNABmARhoBmWhAEMDBTAFgaAAaAAaEBloYBAB//Z
How to create a football lottery algorithm 14 points?
Can't see your image.
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Hello, I tried to put the image link in the post put many characters
How can I put a sample image? -
Quote: Originally posted by dr san on Mar 2, 2017
Hello, I tried to put the image link in the post put many characters
How can I put a sample image?Can't you just post the link?
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Hello carbob, that's what I did, but it appeared, in the previous post, I'll try again
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How much did you win?
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Hello, lottomeister the precise is an algorithm of combinations like the alot of soccer
Were numbers, how many times have I won? But if I do not have the program yet, ahhh
What I need is the base algorithm to match bets, it's similar to spain (europe)
Objective is to create a solft to combine -
Google Tradutor
See below. This code generates the combinations of lotteries of numbers (mega sena and others)
What I need Loteca will be in this way prem makes the combinations of LOTECA, in the VBA language
Thank you
To be worth
Generator code for lotteries
Dim colun As Long
Dim As Long, cw As Long
Dim vj '()
Sub Test ()
Dim lElements As Long
Li = 9
Ci = Cells (1, "d"). Column
Cf = ci + Cells (4, "b") Value2 - Cells (1, "ha") Value
Lf = Cells (Rows.Count, ci) .End (xlUp) .Row + 1
If lf <li Then lf = li
Range (Cells (li, ci), Cells (lf, Cf)) ClearContents
Fixs = Cells (1, "ah").
R = li
Cw = ci + fixs
Colun = Cells (4, "b").
Coluno = Range ("tens"). Value2 'table of values
For L = 1 To UBound (Coluno, 1)
For car = 1 To UBound (Coluno, 2)
Vx = Coluno (L, car)
If vx> 0 And vx <101 Then
K = k & "|" & Vx
End If
Next
Next
Vj = Split (k, "|")
LElements = UBound (vj) - LBound (vj) '+ 1
Combination lElementos, colun, 1
(Cells (li, cw), Cells (r, cw + colun-1)) Value2 = Range (Cells (li, cw), Cells
If fixs> 0 Then Range (Cells (li, ci), Cells (r-1, Cells (1, "d").
Range ("D1", Cells (1, Cells (1, "w").) End (xlToLeft) .Column)).
End Sub
Sub Matching (n As Long, p As Long, k As Long, Optional s As String)
If p> n - k + 1 Then Exit Sub
If p = 0 Then
'Changed here, deleted (colun-1) by (colun)
'Range (Cells (r, cw), Cells (r, cw + colun-1)) Value2 = Split (s, "|")
New
Range (Cells (r, cw), Cells (r, cw + colun)) Value2 = Split (s, "|")
'Include an msgbox here
MsgBox "Successful combination"
'This makes each combination skip a line
R = r + 1
Exit Sub
End If
Combination n, p - 1, k + 1, s & vj (k) & "|"
Combination n, p, k + 1, s
End Sub -
Wheel with 3 columns of 14 lines maximum 11 marks each column soocer lottery
