Knowledge (XXG)

Independent Chip Model

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Such simulators rarely use an unmodified Malmuth-Harville model. In addition to the payout structure, a Malmuth-Harville ICM calculator would also require the chip counts of all players as input, which may not always be available. The Malmuth-Harville model also gives poor estimates for unlikely
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problem also models the omitted poker games, but more precisely. Harville-Malmuth's formulas only coincide with gambler's-ruin estimates in the 2-player case. With 3 or more players, they give misleading probabilities, but adequately approximate the expected payout.
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is small: only 1.42%. The largest relative difference is only slightly larger (1.43%), corresponding to a 21/89/90 game. The 198/1/1 game state gives the largest relative probability difference (4900%), but only for an
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For example, suppose players A, B, and C have (respectively) 50%, 30%, and 20% of the tournament chips. The 1st-place payout is 70 units and the 2nd-place payout 30 units. Then
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Ship It Holla Ballas!: How a Bunch of 19-Year-Old College Dropouts Used the Internet to Become Poker's Loudest, Craziest, and Richest Crew
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with or move all in over the top; and which course of action is optimal, considering the remaining opponent stacks
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between an ICM and FEM probability (0.0360) and the largest tournament equity difference ($ 0.36). However, the
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that helps a player strategize a tournament. An ICM can be applied to answer specific questions, such as:
1339: 1307:{\displaystyle \mathrm {ICM} (C)=70(0.13\cdots +0.08\cdots )+30(0.2+0.09\cdots )\approx 22\approx 110\%} 1205:{\displaystyle \mathrm {ICM} (B)=70(0.21\cdots +0.09\cdots )+30(0.3+0.08\cdots )\approx 32\approx 110\%} 59:
for a player's final ranking. The model then approximates this probability distribution and computes
2110: 52: 1821:"Poker Strategy – Introduction To Independent Chip Model With Yevgeniy Timoshenko and David Sands" 1967: 1786: 427: 28: 2013: 1769:
Harville, David (1973). "Assigning Probabilities to the Outcomes of Multi-Entry Competitions".
1103:{\displaystyle \mathrm {ICM} (A)=70(0.3+0.2)+30(0.21\cdots +0.13\cdots )\approx 45\approx 90\%} 2089: 2068: 2062: 2046: 1992: 1323: 2083: 1923: 2141: 1778: 36: 1314:
where the percentages describe a player's expected payout relative to their current stack.
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The expected payout is the payoff-weighted sum of these joint probabilities across all
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Persi Diaconis & Stewart N. Ethier (2020–2021). "Gambler's Ruin and the ICM".
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Every player's chance of finishing 1st is proportional to the player's chip count.
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independently rediscovered it for poker. In the ICM, all players have comparable
417:{\displaystyle \mathbb {P} \left={\frac {x_{i}}{1-\sum _{z=1}^{j-1}{x_{m_{z}}}}}} 2133: 1731: 2148: 1808:. Two Plus Two Publishing. pp. 233, Settling Up in Tournaments: Part III. 1330: 67: 2064:
Sit 'n Go Strategy: Expert Advice for Beating One-Table Poker Tournaments
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For example, suppose very few players (e.g. 3 or 4). In this case, the
1790: 1758:. ConJelCo LLC. pp. 333, chapter 27, A Survey of Equity Formulas. 1004:{\displaystyle \mathbb {P} =0.2\cdot {\frac {0.3}{1-0.2}}\approx 0.08} 911:{\displaystyle \mathbb {P} =0.2\cdot {\frac {0.5}{1-0.2}}\approx 0.13} 818:{\displaystyle \mathbb {P} =0.3\cdot {\frac {0.2}{1-0.3}}\approx 0.09} 725:{\displaystyle \mathbb {P} =0.3\cdot {\frac {0.5}{1-0.3}}\approx 0.21} 1782: 1972: 1953:
An Introduction to Probability Theory and Its Applications Volume I
1329: 48: 20: 2106: 39:. David Harville first developed the model in a 1973 paper on 2102: 632:{\displaystyle \mathbb {P} =0.5\cdot {\frac {0.2}{1-0.5}}=0.2} 539:{\displaystyle \mathbb {P} =0.5\cdot {\frac {0.3}{1-0.5}}=0.3} 1846:"ICM Poker Introduction: What Is The Independent Chip Model?" 88:
When discussing a deal, how much money each player should get
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of the players' final rankings is then the product of these
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The range of hands that a player can call another player's
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The Doctrine of Chances: Probabilistic Aspects of Gambling
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Jonathan Grotenstein; Storms Reback (15 January 2013).
27:(ICM), also known as the Malmuth–Harville method, is a 2014:"Solving and Computing the Discrete Dirichlet Problem" 1342:(FEM) suffices to solve the gambler's ruin exactly. 1217: 1115: 1016: 923: 830: 737: 644: 551: 458: 263: 126: 1322:
Because the ICM ignores player skill, the classical
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John Wiley & Sons. pp. 344–347. 1896:Card Player News Team (28 December 2014). 1721:The 25/87/88 game state gives the largest 74:The range of hands that a player can move 1971: 1218: 1216: 1116: 1114: 1017: 1015: 977: 925: 924: 922: 884: 832: 831: 829: 791: 739: 738: 736: 698: 646: 645: 643: 605: 553: 552: 550: 512: 460: 459: 457: 402: 397: 392: 380: 369: 352: 346: 302: 297: 278: 265: 264: 262: 203: 186: 180: 160: 141: 128: 127: 125: 2041:Harrington, Dan; Robertie, Bill (2014). 1350:3 players; 200 chips; $ 50/30/20 payout 1348: 1746: 1334:The FEM mesh for 3 players and 4 chips. 1754:Bill Chen and Jerrod Ankenman (2006). 2043:Harrington On Modern Tournament Poker 1924:"What Is The Independent Chip Model?" 31:that approximates a player's overall 7: 2088:. St. Martin's Press. pp. 17–. 1946: 1944: 1870:Selbrede, Steve (27 August 2019). 1301: 1225: 1222: 1219: 1199: 1123: 1120: 1117: 1097: 1024: 1021: 1018: 14: 78:with, considering the play so far 1806:Gambling Theory and Other Topics 245:finish (respectively) 1st, ..., 2045:. Two Plus Two Publishing LLC. 2012:Gorstein, Evan (24 July 2016). 316: 1286: 1271: 1262: 1244: 1235: 1229: 1184: 1169: 1160: 1142: 1133: 1127: 1082: 1064: 1055: 1043: 1034: 1028: 965: 929: 872: 836: 779: 743: 686: 650: 593: 557: 500: 464: 335: 317: 120:finishes 2nd with probability 1: 2061:Collin Moshman (July 2007). 1819:Fast, Erik (20 March 2012). 1777:(342 (June 1973)): 312–316. 1318:Comparison to gambler's ruin 257:finishes j with probability 95:computationally intractable 16:Mathematical model in poker 2216: 1727:relative equity difference 116:finishes 1st, then player 1616: 1613: 1610: 1507: 1504: 1501: 1396: 1393: 1390: 1365: 1360: 1357: 1354: 444:possible rankings of the 432:conditional probabilities 1987:Either, Stewart (2010). 1951:Feller, William (1968). 1756:The Mathematics of Poker 1732:extremely unlikely event 57:probability distribution 1804:Malmuth, Mason (1987). 55:entirely determine the 1346:cases are as follows: 1335: 1308: 1206: 1104: 1005: 912: 819: 726: 633: 540: 418: 391: 216: 25:Independent Chip Model 1340:finite-element method 1333: 1309: 1207: 1105: 1006: 913: 820: 727: 634: 541: 419: 365: 224:Likewise, if players 217: 112:Otherwise, if player 1317: 1215: 1113: 1014: 921: 828: 735: 642: 549: 456: 261: 124: 1723:absolute difference 1351: 97:with many players. 1349: 1336: 1304: 1202: 1100: 1001: 908: 815: 722: 629: 536: 428:joint distribution 414: 212: 51:, so that current 29:mathematical model 2200:Poker terminology 2187: 2186: 2142:Poker calculators 2095:978-1-250-00665-3 2074:978-1-880685-39-6 2052:978-1-880685-56-3 1998:978-3-540-78782-2 1719: 1718: 993: 900: 807: 714: 621: 528: 412: 210: 35:in an incomplete 2207: 2182: 2168: 2151: 2127: 2120: 2113: 2104: 2099: 2078: 2056: 2028: 2027: 2025: 2023: 2018: 2009: 2003: 2002: 1984: 1978: 1977: 1975: 1963: 1957: 1956: 1948: 1939: 1938: 1936: 1934: 1928:thepokerbank.com 1919: 1913: 1912: 1910: 1908: 1893: 1887: 1886: 1884: 1882: 1867: 1861: 1860: 1858: 1856: 1842: 1836: 1835: 1833: 1831: 1816: 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Retrieved 1824: 1814: 1805: 1799: 1774: 1770: 1764: 1755: 1749: 1736: 1720: 1710: 1604: 1458: 1450: 1337: 1321: 451: 439: 248: 239: 235: 226: 104: 91: 65: 41:horse racing 24: 18: 2134:Poker tools 53:stack sizes 43:; in 1987, 2149:PokerStove 1973:2011.07610 1741:References 37:tournament 1876:PokerNews 1358:Data type 1302:% 1296:≈ 1290:≈ 1284:⋯ 1260:⋯ 1251:⋯ 1200:% 1194:≈ 1188:≈ 1182:⋯ 1158:⋯ 1149:⋯ 1098:% 1092:≈ 1086:≈ 1080:⋯ 1071:⋯ 996:≈ 987:− 975:⋅ 903:≈ 894:− 882:⋅ 810:≈ 801:− 789:⋅ 717:≈ 708:− 696:⋅ 615:− 603:⋅ 522:− 510:⋅ 385:− 367:∑ 363:− 324:≤ 291:∣ 197:− 154:∣ 68:simulator 2194:Category 1673:0.000049 1670:0.000049 1653:$ 49.80 1650:0.000001 1647:0.009999 1634:$ 49.80 1631:0.000050 1628:0.009950 1544:$ 24.50 1525:$ 24.85 1433:$ 25.33 1414:$ 25.69 1344:Extremal 448:players. 61:expected 1791:2284068 1699:⁠ 1688:ICM-FEM 1683:⁠ 1661:ICM-FEM 1590:⁠ 1579:ICM-FEM 1574:⁠ 1567:$ 0.35 1552:ICM-FEM 1483:⁠ 1472:ICM-FEM 1467:⁠ 1441:ICM-FEM 1366:Equity 233:, ..., 2160:-based 2092:  2071:  2049:  2022:9 June 1995:  1789:  1690:| 1686:| 1663:| 1659:| 1598:26.37% 1581:| 1577:| 1564:0.0355 1561:0.0355 1554:| 1550:| 1541:0.7604 1538:0.1346 1522:0.7249 1519:0.1701 1497:1.42% 1491:22.73% 1474:| 1470:| 1459:$ 0.36 1455:0.0360 1451:0.0360 1443:| 1439:| 1430:0.7166 1427:0.1584 1411:0.6806 1408:0.1944 83:all in 76:all in 33:equity 23:, the 2174:Other 2017:(PDF) 1968:arXiv 1787:JSTOR 1711:4900% 1707:0.49% 1605:1.43% 1601:4.67% 1535:0.105 1516:0.105 1494:5.02% 1424:0.125 1405:0.125 101:Model 49:skill 21:poker 2090:ISBN 2069:ISBN 2047:ISBN 2024:2021 1993:ISBN 1935:2019 1909:2019 1883:2019 1857:2019 1832:2019 1676:$ 0 1644:0.99 1625:0.99 1386:3rd 1281:0.09 1257:0.08 1248:0.13 1179:0.08 1155:0.09 1146:0.21 1077:0.13 1068:0.21 999:0.08 906:0.13 813:0.09 720:0.21 426:The 330:< 2158:ICM 1779:doi 1715:0% 1696:FEM 1640:FEM 1621:ICM 1611:198 1587:FEM 1531:FEM 1512:ICM 1508:90 1480:FEM 1420:FEM 1401:ICM 1397:88 1383:2nd 1380:1st 1299:110 1275:0.2 1197:110 1173:0.3 1053:0.2 1047:0.3 990:0.2 980:0.3 972:0.2 897:0.2 887:0.5 879:0.2 804:0.3 794:0.2 786:0.3 711:0.3 701:0.5 693:0.3 627:0.2 618:0.5 608:0.2 600:0.5 534:0.3 525:0.5 515:0.3 507:0.5 251:-1) 19:In 2196:: 1943:^ 1926:. 1900:. 1874:. 1848:. 1823:. 1785:. 1775:68 1773:. 1734:. 1704:0% 1617:1 1595:0% 1505:89 1502:21 1488:0% 1394:87 1391:25 1293:22 1269:30 1242:70 1191:32 1167:30 1140:70 1095:90 1089:45 1062:30 1041:70 242:-1 2126:e 2119:t 2112:v 2098:. 2077:. 2055:. 2026:. 2001:. 1976:. 1970:: 1937:. 1911:. 1885:. 1859:. 1834:. 1793:. 1781:: 1693:/ 1667:0 1614:1 1584:/ 1558:0 1477:/ 1447:0 1377:C 1374:B 1371:A 1362:P 1287:) 1278:+ 1272:( 1266:+ 1263:) 1254:+ 1245:( 1239:= 1236:) 1233:C 1230:( 1226:M 1223:C 1220:I 1185:) 1176:+ 1170:( 1164:+ 1161:) 1152:+ 1143:( 1137:= 1134:) 1131:B 1128:( 1124:M 1121:C 1118:I 1083:) 1074:+ 1065:( 1059:+ 1056:) 1050:+ 1044:( 1038:= 1035:) 1032:A 1029:( 1025:M 1022:C 1019:I 984:1 969:= 966:] 963:2 960:= 957:B 954:, 951:3 948:= 945:A 942:, 939:1 936:= 933:C 930:[ 926:P 891:1 876:= 873:] 870:3 867:= 864:B 861:, 858:2 855:= 852:A 849:, 846:1 843:= 840:C 837:[ 833:P 798:1 783:= 780:] 777:2 774:= 771:C 768:, 765:3 762:= 759:A 756:, 753:1 750:= 747:B 744:[ 740:P 705:1 690:= 687:] 684:3 681:= 678:C 675:, 672:2 669:= 666:A 663:, 660:1 657:= 654:B 651:[ 647:P 624:= 612:1 597:= 594:] 591:3 588:= 585:B 582:, 579:2 576:= 573:C 570:, 567:1 564:= 561:A 558:[ 554:P 531:= 519:1 504:= 501:] 498:3 495:= 492:C 489:, 486:2 483:= 480:B 477:, 474:1 471:= 468:A 465:[ 461:P 446:n 442:! 440:n 434:. 404:z 400:m 395:x 388:1 382:j 377:1 374:= 371:z 360:1 354:i 350:x 344:= 340:] 336:) 333:j 327:z 321:1 318:( 314:z 311:= 304:z 300:m 295:X 288:j 285:= 280:i 276:X 271:[ 266:P 255:i 249:j 247:( 240:j 236:m 230:1 227:m 205:k 201:x 194:1 188:i 184:x 178:= 174:] 170:1 167:= 162:k 158:X 151:2 148:= 143:i 139:X 134:[ 129:P 118:i 114:k

Index

poker
mathematical model
equity
tournament
horse racing
Mason Malmuth
skill
stack sizes
probability distribution
expected
simulator
all in
all in
computationally intractable
joint distribution
conditional probabilities
gambler's ruin

finite-element method
Extremal
absolute difference
relative equity difference
extremely unlikely event
doi
10.2307/2284068
JSTOR
2284068
"Poker Strategy – Introduction To Independent Chip Model With Yevgeniy Timoshenko and David Sands"
"ICM Poker Introduction: What Is The Independent Chip Model?"
"Weighing Different Deal-Making Methods at a Final Table"

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