Girls HS Goalie SV% normalized for RSOOP

[LSQRANK]

2016-17 Girls HS Goalie data was normalized based on the relative strength of opposing (RSOOP) team. The raw SV% statistic has been normalized (re-scaled) and the new ranking list is presented and grouped by school year. Only those goalies that played at least 300 minutes were grouped by school year. Those who played less than 300 minutes are lumped together on the last page of the listing. enjoy ....

Code: Select all

LSQRank (c) Dr. Matt Stevens  26-FEB-2017

Normalized for Relative Strength of Opponent (RSOOP)
Goalie Save% Statistic
MN/WI/ND Girls HS Hockey 

=====================================================================================================
Senior (12th grade) Goalies playing at least 300 mins per season

Normalized                                                               RAW   RAW   RAW      Playing
SAVE %  Rank              GOALIE  YR                              TEAM   SV    SOG   SV%      Time
===================================================================================================== 
 0.858   1           A_GOLDSTEIN  12                             Edina   333   358   0.930    1224:22
 0.808   5             E_KUBICEK  12                        Minnetonka   527   562   0.938    1140: 0
 0.794   8             C_FRANCIS  12                        MapleGrove   293   312   0.939     776:29
-----------------------------------------------------------------------------------------------------
 0.765   19           K_PELLICCI  12                          Eastview   628   684   0.918    1365:53
 0.754   23           E_PETERSON  12                 Chaska/Chanhassen   301   333   0.904     636:21
 0.753   24              B_BLESI  12                        MapleGrove   254   269   0.944     657:43
 0.738   28             K_LARSON  12                             Anoka   577   653   0.884    1053:41
 0.735   29            L_LEWISON  12                         PriorLake   616   688   0.895    1111:54
 0.731   30               K_PECK  12                        Centennial   248   290   0.855     765:36
-----------------------------------------------------------------------------------------------------
 0.703                  B_BOREEN  12                ParkofCottageGrove   709   786   0.902    1291: 6
 0.697                 M_CARLSON  12                             Orono   705   762   0.925    1139:51
 0.687                    G_SUHR  12                       DodgeCounty   546   595   0.918    1304:21
 0.686               T_DEFORREST  12                       AppleValley   537   594   0.904    1312:46
 0.681               A_CARLANDER  12                      Hopkins/Park   541   601   0.900    1186: 5
 0.678                P_HEMPHILL  12              GrandRapids/Greenway   500   564   0.887    1312:36
 0.658                 S_CULSHAW  12                         NewPrague   657   712   0.923    1282:45
 0.642                  K_MEDVED  12                      Totino-Grace   614   690   0.890     968: 8
 0.628                     M_CIN  12                            Blaine    93   104   0.894     552:32
 0.619                E_BRUNELLE  12                           Warroad   548   587   0.934    1219:34
 0.613                E_GENEREAU  12              Cloquet-Esko-Carlton   617   676   0.913    1260:38
 0.610                    H_RUPP  12                          Irondale   540   619   0.872     919:18
 0.603                 A_MONSRUD  12                           Buffalo   178   218   0.817     425:52
 0.589                  S_FINLEY  12                        Alexandria   509   554   0.919    1170:31
 0.571                 E_POLUSNY  12                     MoundWestonka   749   802   0.934    1304:26
 0.570                  M_THOMAS  12                           Warroad   124   145   0.855     323: 0
 0.554                L_TREMBLAY  12                      HaywardCo-op   584   621   0.940    1148: 1
 0.548                  M_NELSON  12                   ThiefRiverFalls   300   342   0.877    1020: 0
 0.547                  M_BENSON  12          Litchfield/Dassel-Cokato   913  1024   0.892    1197: 0
 0.546                C_BELKHOLM  12                  Cambridge-Isanti   464   514   0.903    1139:10
 0.486                  M_HIRSCH  12                   Eveleth-Gilbert   631   715   0.883     873:59
 0.473                S_DANNHOFF  12                          Onalaska   530   575   0.922     884:46
 0.435                  K_MILLER  12                  RochesterCentury   811   925   0.877    1281: 8
 0.405                   J_SMITH  12                        ParkRapids   854   950   0.899    1088:39
 0.381                 S_WHEELER  12                      DetroitLakes   172   202   0.851     338:49
 0.354                    S_HILL  12                   Eveleth-Gilbert   243   277   0.877     459: 0
 0.263             S_SANDERSFELD  12                          Fairmont   558   609   0.916     911:41
 0.237                S_PETERSEN  12                      NorthernEdge   614   689   0.891     866:40
 0.175            Jadin_Flexhaug  12                             Minot   105   115   0.913     306: 0

[LSQRANK]

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LSQRank (c) Dr. Matt Stevens 26-FEB-2017

Normalized for Relative Strength of Opponent (RSOOP)
Goalie Save% Statistic
MN/WI/ND Girls HS Hockey 

====================================================================================================== 
Junior (11th grade) Goalies playing at least 300 mins per season

Normalized                                                               RAW   RAW   RAW      Playing
SAVE %   Rank             GOALIE  YR                              TEAM   SV    SOG   SV%      Time
===================================================================================================== 
 0.841    2            A_DOBCHUK  11                       EdenPrairie   637   681   0.935    1561: 8
 0.833    3             J_OBRIEN  11                            Blaine   274   295   0.929     949:52
 0.820    4            A_MANLOVE  11                        Minnetonka   147   163   0.902     314:23
 0.796    7               O_KNOX  11                        Stillwater   443   480   0.923     848:27
-----------------------------------------------------------------------------------------------------
 0.778    12           G_BOSWELL  11                           Wayzata   338   380   0.889     708:40
 0.777    13             L_BAKER  11                    LakevilleSouth   572   627   0.912    1365:59
 0.774    14           A_KRUESEL  11                             Blake   251   267   0.940     774:49
 0.774    15             M_SMITH  11                             Edina    79    81   0.975     306: 0
 0.771    16             C_NOESS  11                          Shakopee   533   577   0.924    1164:32
 0.755    22            A_BOLLIG  11                        Farmington   466   503   0.926    1092:52
 0.744    27           C_HEITING  11                         EastRidge   516   556   0.928    1151:59
 0.726    32            S_GARVIS  11                           Wayzata   276   311   0.887     592:21
 0.722    35           P_GREELEY  11             Benilde-St.Margaret's   403   463   0.870     774:12
-----------------------------------------------------------------------------------------------------
 0.698                 K_SAMPSON  11                 Chaska/Chanhassen   141   156   0.904     420:39
 0.692                  S_MILLER  11         SpringLakePark/CoonRapids   712   763   0.933    1332:57
 0.682                    E_AUGE  11                        Farmington   200   218   0.917     452:35
 0.672                   K_BUZAY  11                        Stillwater   195   221   0.882     454:24
 0.665               M_GILCHRIST  11                         Roseville   153   175   0.874     333: 0
 0.656                  E_BONNEY  11              BloomingtonJefferson   184   206   0.893     306: 0
 0.653                 Z_STEGORA  11                          Irondale   181   213   0.850     423: 0
 0.640                 E_STEHLER  11                      Totino-Grace   212   234   0.906     369:55
 0.638             J_TOMASZEWSKI  11                        RiverLakes   639   673   0.949     932:37
 0.615                 E_BARRICK  11                        Hutchinson   458   488   0.939     899:44
 0.606                 O_SCHULTZ  11                      North/Tartan   400   438   0.913     842: 0
 0.605             E_MUSIELEWICZ  11                          St.Cloud   712   761   0.936    1397:30
 0.604                  M_WHALEN  11                    EastGrandForks   578   609   0.949    1044: 0
 0.579                   N_BAKER  11                      North/Tartan   214   241   0.888     491:18
 0.578                K_MCKENZIE  11                       SouthStPaul   566   621   0.911    1348:42
 0.575                  M_TIDONA  11                    Northfield(MN)   452   496   0.911    1144:41
 0.567                K_SCHRAMEL  11                         Princeton   711   770   0.923    1321: 0
 0.546              J_FICCADENTI  11                         Mahtomedi   544   605   0.899    1411:31
 0.538                    S_HYKE  11               RochesterJM/Lourdes   404   458   0.882     929:50
 0.533                   M_GAMST  11             MooseLake-WillowRiver   523   567   0.922    1341: 5
 0.529                 K_SCHMIDT  11                   Delano/Rockford   293   309   0.948     776:19
 0.504                C_WESTBERG  11                  CentralWisconsin   296   324   0.914    1103:33
 0.501                 C_SCHULTZ  11                            Hudson   451   498   0.906    1224: 0
 0.499                  L_SCHULZ  11                       Minneapolis   607   697   0.871    1309: 0
 0.487                  C_MAGLER  11                        WesternWis   453   517   0.876     780:43
 0.459                  E_COGGIO  11                    St.CroixValley   576   650   0.886    1155: 0
 0.444                    B_JOBE  11                         Crookston   803   971   0.827    1264: 5
 0.435            Kaylee_Caspers  11                  FargoNorth/South   275   297   0.926     697: 0
 0.429                 L_EBELING  11                          Owatonna   440   486   0.905    1199:31
 0.415               C_SALMONSEN  11                         Faribault   609   690   0.883    1193:23
 0.414                A_HOLZBACH  11                           BayArea   460   481   0.956    1214:22
 0.413                   N_BIGGS  11                            Simley   338   397   0.851     971:35
 0.405                    K_RIES  11                            NewUlm   468   493   0.949    1137: 0
 0.405              S_BUTTERFASS  11                     RochesterMayo   279   334   0.835     577:22
 0.393                  T_NELSON  11                     St.PaulBlades   613   697   0.879    1032:20
 0.392                  E_LENARZ  11                        Hutchinson   116   129   0.899     340: 0
 0.385                L_SCHOMMER  11                   MinnehahaUnited   566   642   0.882    1336:21
 0.379               Alex_Nelson  11                             Minot   362   407   0.889     765: 0
 0.346                T_THORNTON  11                   SunPrairieCo-op   400   434   0.922    1161:57
 0.340           Sydney_Peterson  11                       FargoDavies   466   517   0.901    1173: 0
 0.319                   J_KEELY  11                          St.Peter  1106  1190   0.929    1317: 0
 0.299                 E_OCONNOR  11                          Fairmont   186   218   0.853     315: 0
 0.286              E_NETTESHEIM  11                         Arrowhead   550   642   0.857     939:40
 0.270                   D_DAHMS  11                            Waseca   550   608   0.905    1018:43
 0.259                   E_STEEN  11                            Windom   930   999   0.931    1273:40
 0.255                 E_BARTELS  11                           Luverne   822   876   0.938    1296:28
 0.252            Teresa_Mattson  11                        GrandForks   213   240   0.887     433:30
 0.204                 A_HOFFMAN  11                     Morris/Benson   414   502   0.825     824: 0
 0.203                   B_KRUSE  11                       Worthington   912  1046   0.872    1003:17
 0.188                  C_BEKKUM  11                          Onalaska   142   156   0.910     355:44

[LSQRANK]

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LSQRank (c) Dr. Matt Stevens  26-FEB-2017

Normalized for Relative Strength of Opponent (RSOOP)
Goalie Save% Statistic
MN/WI/ND Girls HS Hockey 

====================================================================================================== 
Sophmore (10th grade) Goalies playing at least 300 mins per season

Normalized                                                               RAW   RAW   RAW      Playing
SAVE %   Rank             GOALIE  YR                              TEAM   SV    SOG   SV%      Time
===================================================================================================== 
 0.797    6              O_BIZAL  10                             Blake   244   257   0.949     663: 0
 0.791    9             M_MEYERS  10                 Cretin-DerhamHall   481   523   0.920    1118:21
 0.783   10          A_FRANTZICK  10                             Breck   617   661   0.933    1394: 9
 0.780   11             A_BAILEY  10                       Hill-Murray   542   583   0.930    1324:54
-----------------------------------------------------------------------------------------------------
 0.762   20              C_FRANK  10                     WhiteBearLake   749   791   0.947    1408: 3
 0.759   21               M_JUNG  10                ElkRiver/Zimmerman   568   613   0.927    1436:45
 0.753   25              M_LEHTO  10                         Roseville   568   629   0.903    1060: 0
 0.750   26             A_LARSON  10                             Eagan   290   323   0.898     653: 3
 0.730   31          K_SCHNEIDER  10                    LakevilleNorth   567   604   0.939    1235:56
 0.725   33              C_STUMO  10                       Andover(MN)   530   591   0.897    1243: 3
 0.706   37            T_JOHNSON  10                        MoundsView   499   550   0.907    1349: 2
-----------------------------------------------------------------------------------------------------
 0.694                 M_MCCLAIN  10              BloomingtonJefferson   668   751   0.889    1026: 7
 0.686                 M_NICKELL  10                             Eagan   293   319   0.918     757:15
 0.681                  R_PESTER  10                        Burnsville   541   594   0.911    1181:58
 0.678                   B_SHUCK  10                      ChamplinPark   543   602   0.902    1030:15
 0.654                 N_HARNETT  10       RobbinsdaleArmstrong/Cooper   214   232   0.922     303: 0
 0.642                    R_GRAY  10                Proctor/Hermantown   330   371   0.889     922: 2
 0.640                  L_HANSON  10                 Chaska/Chanhassen   125   146   0.856     328:16
 0.634                  E_WESTBY  10                HolyFamily/Waconia   414   470   0.881     899:27
 0.615                 A_EDSTROM  10                  Hibbing/Chisholm   568   626   0.907    1273:32
 0.611                    O_KING  10              Brainerd/LittleFalls   508   554   0.917    1337:45
 0.610                  R_MILLER  10                        St.Francis   727   784   0.927    1342:11
 0.603                    A_BEIX  10                          Woodbury   342   393   0.870     661:15
 0.603                  K_SOHLER  10                           Buffalo   411   473   0.869     906:39
 0.601                 P_SCHMIDT  10                          Moorhead   443   496   0.893    1094: 9
 0.593                M_DEMARAIS  10                Sartell/SaukRapids   272   290   0.938     633:55
 0.587                   K_GIESE  10                     St.PaulUnited   127   153   0.830     444:14
 0.584                 J_NEUBERT  10                HolyFamily/Waconia   173   199   0.869     408: 0
 0.580                    K_SYCK  10                            Duluth   436   516   0.845     888:43
 0.567                    L_LOOD  10                        HolyAngels   554   637   0.870    1247:30
 0.562                 M_LERFALD  10                      ChisagoLakes   258   297   0.869     539:38
 0.555                S_ALMQUIST  10                        NorthMetro   714   842   0.848    1197:35
 0.545                   B_DELAP  10                           Bemidji   593   716   0.828    1054: 0
 0.535                 M_ECKLUND  10                       FergusFalls   188   222   0.847     393:15
 0.533                   B_KIMEL  10                         Rosemount   295   331   0.891     560:18
 0.510                J_MCKEEVER  10                       FergusFalls   450   497   0.905     946:31
 0.508                 T_MCGRATH  10                           RedWing   616   659   0.935    1437:21
 0.499                  N_WANDER  10                        RiverLakes   217   241   0.900     397:43
 0.486               Quinn_Kuntz  10                        GrandForks   501   547   0.916     739:30
 0.465               K_MCDOUGALL  10                      DetroitLakes   495   594   0.833     879:36
 0.454                  G_WEGNER  10                InternationalFalls   372   423   0.879     983:18
 0.427           Skylar_Ackerman  10                          Bismarck   166   186   0.892     535:30
 0.421                   A_SIERS  10                  SuperiorSpartans   614   715   0.859    1123:12
 0.415           Brooklyn_Myrvik  10                         WestFargo   461   498   0.926    1020: 0
 0.363               A_SCHREIBER  10                       MankatoEast   338   389   0.869     853:40
 0.360                H_STOCKMAN  10                       MankatoEast   229   265   0.864     640:20
 0.359                     M_OCH  10                     PrairieCentre   362   419   0.864     909:53
 0.345                  F_SAYLES  10                            Austin   597   697   0.857    1214:35
 0.341             Erin_Anderson  10                         Jamestown   825   930   0.887    1071: 0
 0.325              R_BIELENBERG  10                    Northfield(MN)   118   129   0.915     433: 0
 0.294               C_MARKWARDT  10                            Winona   672   850   0.791    1282:47
 0.270                 P_SNEDDEN  10                    NorthlandPines   298   372   0.801    1123:13
 0.217               Lauren_Harr  10                  FargoNorth/South   120   138   0.870     476: 0

[LSQRANK]

Code: Select all

LSQRank (c) Dr. Matt Stevens  26-FEB-2017

Normalized for Relative Strength of Opponent (RSOOP)
Goalie Save% Statistic
MN/WI/ND Girls HS Hockey 

====================================================================================================== 
Freshman(8th or 9th grade) Goalies playing at least 300 mins per season

Normalized                                                               RAW   RAW   RAW      Playing
SAVE %  Rank              GOALIE  YR                              TEAM   SV    SOG   SV%      Time
===================================================================================================== 
 0.767   17             J_BOTHUN   9                        ForestLake   658   707   0.931    1434:48
 0.766   18              K_FLAIG   9                            Roseau   552   606   0.911    1273: 5
 0.724   34              J_ONCAY   8                     St.PaulUnited   309   337   0.917     919:34
 0.715   36            S_SPENCER   9                            Duluth   253   301   0.841     442: 0
-----------------------------------------------------------------------------------------------------
 0.655                  E_GILLEN   9                          Woodbury   311   366   0.850     547:59
 0.644                  A_LAROSE   9                 NorthWrightCounty   538   584   0.921    1092:37
 0.606                  C_MUDRAK   9                    DuluthMarshall   765   849   0.901    1383: 2
 0.603              C_STOCKINGER   9                Sartell/SaukRapids   360   386   0.933     780:50
 0.601                   S_LEWIS   9                Proctor/Hermantown   110   123   0.894     367:37
 0.593                H_HARTLAGE   9                            Rogers   428   473   0.905    1340:19
 0.579                A_KUNSHIER   9                          Hastings   444   515   0.862    1050:14
 0.573                  C_GREENE   8             Benilde-St.Margaret's   162   182   0.890     311:51
 0.558            K_LAUNDERVILLE   9       RobbinsdaleArmstrong/Cooper   533   649   0.821     919:50
 0.511                 G_GLASRUD   9                   Delano/Rockford   206   224   0.920     622:37
 0.505               A_KITTLESON   9                      ChisagoLakes   360   412   0.874     802:43
 0.496                   M_DWYER   9                        NorthShore   603   709   0.850    1037:24
 0.485                 B_CARLSON   9                           Willmar   693   826   0.839    1388:30
 0.452                  E_KELLEY   9                         Rosemount   382   423   0.903     735:52
 0.444                P_ERICKSON   9                       HenrySibley   649   756   0.858    1387:40
 0.371                  S_HUGHES   8                     RochesterMayo   310   351   0.883     730: 1
 0.361             K_SANDELOVICH   9                       FortFrances   119   131   0.908     315:36
 0.346               C_TULENCHIK   9                     NorthernLakes   589   672   0.876    1384:20
 0.334            Lauren_Watkins   9                          Bismarck   149   160   0.931     510: 0
 0.303               M_SCHNEIDER   8                         AlbertLea   769   893   0.861    1290:56
 0.299                C_ERICKSON   9                        WesternWis   141   155   0.910     415:50
 0.290                   S_OLSEN   8                       MankatoWest   759   884   0.859    1405:29
 0.275                 E_KLENKEN   8                          Marshall   304   340   0.894     894:14
 0.238               L_MORTENSON   9                     PrairieCentre   121   139   0.871     397:23
 0.213                    A_MOAT   9                          Marshall   148   162   0.914     544:33
 0.184                  A_HEIMER   9               RochesterJM/Lourdes    63    68   0.926     317: 00

[LSQRANK]

Code: Select all

LSQRank (c) Dr. Matt Stevens

Normalized for Relative Strength of Opponent (RSOOP)
Goalie Save% Statistic
MN/WI/ND Girls HS Hockey 

====================================================================================================== 
Other Goalies playing less than 300 mins per season

Normalized                                                               RAW   RAW   RAW      Playing
SAVE %                    GOALIE  YR                              TEAM   SV    SOG   SV%      Time
===================================================================================================== 
 0.792                M_STOTERAU  10                        Centennial    86    94   0.915     205:49
 0.765                 A_GLEASON  12                      Hopkins/Park    50    59   0.847     140:55
 0.739               K_MCCONNELL  11                InternationalFalls    44    54   0.815      51: 0
 0.727                  A_JULIAN   9                          Eastview    50    53   0.943     175:38
 0.717                    A_COBB  10                       AppleValley     5     6   0.833      23:23
 0.711                   B_HAGEN  12                         PriorLake   148   162   0.914     234:52
------------------------------------------------------------------------------------------------------
 0.665                 R_AMELING  12                        Minnetonka     9    11   0.818      17: 0
 0.651                   M_WIDEN   8                        Burnsville    35    39   0.897     102: 0
 0.641               C_HALVORSON   7                         Crookston    29    39   0.744      34: 0
 0.635                 B_PIERSON  10                  Cambridge-Isanti    60    71   0.845     135:50
 0.613                  H_STEELE   8                          Hastings    98   121   0.810     232: 0
 0.610                  R_BEEMAN   9             Benilde-St.Margaret's   105   119   0.882     272: 0
 0.603                N_BURGOYNE  12                      ChamplinPark    71    81   0.877     168: 2
 0.600                 A_JOHNSON  10                             Anoka   102   117   0.872     272: 0
 0.592                E_CRAWFORD  12                 Cretin-DerhamHall   121   127   0.953     280:30
 0.589                    C_BEHR  12                         EastRidge    33    35   0.943     105:27
 0.588                     M_GAY  12                        Alexandria   107   124   0.863     257:35
 0.580                    E_KOLO  10                          Moorhead    62    73   0.849     256:21
 0.575                  G_ROESKE   9                        Stillwater    28    35   0.800      51: 0
 0.569                  N_KIMBLE   8                           Bemidji   154   178   0.865     280: 0
 0.567                A_LACKMANN   9                    LakevilleNorth    11    12   0.917      40: 4
 0.563                    S_BECK  11                       FortFrances    35    39   0.897      52: 3
 0.562                T_CONNELLY  11                 NorthWrightCounty    73    84   0.869     208: 1
 0.561                   K_ENGEN  12                          Shakopee   121   134   0.903     255:45
 0.549                 A_GOEHNER   9                        ForestLake    22    24   0.917     102: 0
 0.545                   B_OLSON  10                  SuperiorSpartans    41    51   0.804     102:23
 0.542                S_SELBREDE  10                        MoundsView    15    17   0.882      51: 0
 0.540                 E_SCHULTZ  11                             Orono    98   111   0.883     204: 0
 0.536                M_ZABINSKI  11                        HolyAngels    13    17   0.765      17: 0
 0.533                 B_EMERSON   9                     St.PaulUnited    40    47   0.851     153: 0
 0.531                   J_VEARY   9                ParkofCottageGrove    19    19   1.000      51: 0
 0.531               T_HICKERSON   9                        ForestLake     2     2   1.000      17: 0
 0.530                 G_HIETALA  10                        NorthShore    58    76   0.763     102: 0
 0.528                  A_BOUGIE  10                       SouthStPaul    13    16   0.813      65: 0
 0.523                   K_ALLEN   9                       AppleValley    17    19   0.895      55:50
 0.523                  A_PELKEY   9                       Andover(MN)    42    47   0.894     102: 0
 0.522                R_BJERKLIE   9                            Roseau    96   105   0.914     296:30
 0.522                 L_CARLSON  11                         EastRidge    54    58   0.931     171:11
 0.513                H_WENTLAND  12                  Hibbing/Chisholm   116   127   0.913     274:14
 0.505                 M_MARSTON  11                     WhiteBearLake    15    16   0.938      34: 0
 0.486                 R_MANNING  11                        NorthMetro    56    67   0.836     131:30
 0.486                M_MARCOTTE   9                InternationalFalls    95   111   0.856     260:59
 0.457              Sarah_MILLER  11       RobbinsdaleArmstrong/Cooper    28    37   0.757      68: 0
 0.450                  S_QUARVE   9                  RochesterCentury    36    46   0.783      51: 0
 0.446                  G_STEELE   9                   ThiefRiverFalls    66    75   0.880     238: 0
 0.424                K_AMUNDSON   9       RobbinsdaleArmstrong/Cooper     3     6   0.500       9:10
 0.421               K_DANIELSON  10              GrandRapids/Greenway    24    27   0.889     110: 0
 0.418                 R_KENNEDY   9                       Hill-Murray    54    58   0.931     264:29
 0.415                 B_FREEMAN  10                      ChamplinPark     8     8   1.000      82: 0
 0.414                  N_SCHULZ  11              Brainerd/LittleFalls    25    30   0.833     109: 6
 0.413                 A_LANGTON   8                ElkRiver/Zimmerman     4     4   1.000      17: 0
 0.406                  G_RIVARD   9              Brainerd/LittleFalls     4     6   0.667      14: 2
 0.404            Aurora_Johnson   9                          Bismarck    39    45   0.867     127:30
 0.404                   C_PRIOR   8                    DuluthMarshall     3     5   0.600      16:30
 0.398                  A_JULIUS   9                          Woodbury    42    47   0.894     124: 5
 0.394                 B_MACKLIN   9                    LakevilleSouth     6     7   0.857      51: 0
 0.373                JR_WEKSETH   9             MooseLake-WillowRiver    19    22   0.864      51: 0
 0.371                   B_HOPPE  12                     St.PaulBlades   149   177   0.842     294:27
 0.366              LeAnne_Brydl  12                         WestFargo    48    55   0.873     153: 0
 0.361                  M_BROOKS  12                        HolyAngels    33    41   0.805      68: 0
 0.360                  K_THOMAS  10         SpringLakePark/CoonRapids     1     1   1.000       5:10
 0.353                    E_LUND  10              Cloquet-Esko-Carlton     9    10   0.900      34: 0
 0.342                   I_HOVEL   9                     PrairieCentre    19    22   0.864      51: 0
 0.328                  R_SIEGER   9                       Minneapolis    46    52   0.885      68: 0
 0.297                   K_BRAKE   9                         NewPrague     5     6   0.833      17: 0
 0.290                 A_BURYSKA   9                          Owatonna    46    51   0.902     196:51
 0.277                M_BIRKHOLZ  10                    EastGrandForks    44    49   0.898     159:10
 0.260                  M_WATZEK  10                            Waseca    41    49   0.837     119: 0
 0.251                  K_MANKIE  10                        ParkRapids    75    94   0.798     178:30
 0.239                    C_REED  10                            NewUlm    26    28   0.929     170: 0
 0.220                 H_HOSKINS  12          Litchfield/Dassel-Cokato    15    16   0.938      51: 0
 0.206                 J_KARRMAN  12                       DodgeCounty     8    12   0.667      56:57
 0.199                  C_NANGLE   0                            Austin    64    74   0.865     116:19
 0.195                   O_KLUND  10                    St.CroixValley    14    16   0.875      85: 0
 0.174                   K_BENTS   9                       Worthington    10    10   1.000      17: 0
 0.174                  E_FRIEND  12                         Princeton     4     7   0.571      68: 0
 0.166             S_WIEDENBAUER   9                         Arrowhead    55    83   0.663     177:37
 0.162                  P_COPPEL  10                  Hibbing/Chisholm    13    14   0.929      51: 0
 0.160                   T_SMITH  10                     MoundWestonka    10    10   1.000      34: 0
 0.132                B_GOEHRING  10                           BayArea    19    20   0.950      97:38
 0.128                  K_HOLMAN   8                     RochesterMayo     2     3   0.667       8:16
 0.127             D_BUTTERFIELD  11                           BayArea     6     6   1.000      32: 0
 0.092                 E_VOLKMER   9                            Waseca    55    67   0.821     212: 0
 0.080                  F_PORTER  10                   ThiefRiverFalls     8    10   0.800     119: 0
 0.079               L_MOJKOWSKI  10                        NorthShore    19    21   0.905      85: 0
 0.033                 M_WILLARD  10                            Windom     4     4   1.000      17: 0
 0.029                 J_KASISKA  10                            NewUlm     8     9   0.889      51: 0
 0.026                  H_EHLERS   9                           RedWing     2     3   0.667      21:43
 0.022                   J_HOEHN   8                          St.Peter     2     3   0.667      17: 0
 0.000                   K_SMITH  10                 Cretin-DerhamHall     0     0   0.000      51: 0
 0.000                 M_WUOLLET  10                            Rogers     0     0   0.000      59: 0

[itsfoilcoach]

Bad information in, bad information out. First of all look up something called Adjusted SV%. Not all tools such as LSQ should be applied to all circumstances. We can all agree that SOS is very important to rankings as a whole. But to apply this style when deciphering rankings, or judging the qualities/skills of a goalie is at best not worth the time it took to run the numbers for it. As far as shots on net.. some teams ranking low on the LSQ based on SOS had around a 1000 shots. Sure they did, but what ever. I'm sure you can thank dad, or mom, or that student manger for those numbers trying to help them qualify for Mrs. Goalie. To achieve those numbers what is that like a shot every 45 seconds for every minute for every game in the season...not easy to achieve. Again, whatever there. But what I'm trying to say is these shot numbers are less accurate then these rankings, and that's saying a lot. Frankly the stronger the team more shots are taken from top of the circles, to outside faceoff circles to high in the zone. If a goalie getting close to a 1000 shots deep in the zone on her, as opposed to a goalie getting D1/quality defensemen stopping them at the blue line, its a whole different hockey game and shot. That's where Adjusted SV% comes in. Colleges uses it, NHL uses it. There has been a few goalies wash out from D1 to D3 that was ranked very high in rankings like this, they were all highly awarded by the conference, and ranked high as well, but at the end of the day it was very misleading when considering skills. This does a disservice more than anything. In fact, you could almost say the SOS/LSQ should be looked at inversely. Some of those goalies who get rebound after rebound, and riddled with shots sitting on a 875-900SV% are far superior to a goalie seeing 300 shots high in the zone for 25 games sitting on a 940SV%. But even if Adjusted SV% were to be used, you still need accurate shot counts, and we all know some of these shots counts are far from accurate. Is this an absolute for all goalies, no, but you can see there is definitely good reasons not to look at these rankings very seriously at all. Best way to see how a goalie is... get out and watch them!

[MN_Bowhunter]

Bad information in, bad information out. First of all look up something called Adjusted SV%. Not all tools such as LSQ should be applied to all circumstances. We can all agree that SOS is very important to rankings as a whole. But to apply this style when deciphering rankings/qualities for goalies is at best not worth the time it took to run the numbers for it. As far as shots on net.. some teams ranking low on the LSQ based on SOS had around a 1000 shots. Sure they did, but what ever. I'm sure you can thank dad, or mom, or that student manger for those numbers trying to help them qualify for Mrs. Goalie. To achieve those numbers what is that like a shot every 14 seconds for every minute for every game in the season. Again, what ever there. But what I'm trying to say is these shot numbers are less accurate then these rankings, and that's saying a lot. Frankly the stronger the team more shots are taken from top of the circles, to outside faceoff circles to high in the zone. If a goalie getting close to a 1000 shots deep in the zone on her, as opposed to a goalie getting D1/quality defensemen stopping them at the blue line, its a whole different hockey game and shot. That's where Adjusted SV% comes in. Colleges uses it, NHL uses it. There has been a few goalies wash out from D1 to D3 that was ranked very high in rankings like this, they were all highly awarded by the conference, and ranked high as well, but at the end of the day it was very misleading when considering skills. This does a disservice more than anything. In fact, you could almost say the SOS/LQS should be looked at inversely. Some of those goalies who get rebound after rebound, and riddled with shots sitting on a 875-900SV% are far superior to a goalie seeing 300 shots high in the zone for 25 games. But even if Adjusted SV% were to be used, you still need accurate shot counts, and we all know some of these shots counts are far from accurate. Is this an absolute for all goalies, no, but you can see there is definitely good reasons not to look at these rankings very seriously at all. Best way to see how a goalie is... get out and watch them!

Not only can you not trust the stats. The stats don't tell you much anyway. I saw some pretty bad hockey players in net at state this year who have pretty good stats. Kids who refuse to leave their net to play pucks for their d. Kids who cover pucks they shouldn't. Kids who can't control rebounds. If you have a great team in front of you they will make up for that and even keep that goalies stats up. Stopping pucks makes you a goalie, doing all the other stuff well makes you a hockey player.

[itsfoilcoach]

Spot on! Sticks for rebound control was non-existent for most... a lost practice. Saw a lot of leg pads straight out for some juicy rebounds straight out front, or to the weak side back door rebound because the stick was not involved in the play what so ever. Having a good team in front is tough when learning skills for a goalie. You cant sit and watch for most of the season and think you can perform at a high level when the time comes. Realty hits hard when faced by good skaters and shooters..

[LSQRANK]

Bow Hunter .. Yes I agree with you with respect to not seeing a lot of good goalies this past weekend, but there were a few that did rise to the top. Be aware of the statistical concept of normalization. The result give you a relative re-scaling, not an absolute measure, and is a tool for recruiter and scouts to guide the process of where they travel to go watch a player. As I was sitting watching the AA games, I would like to see shots categorized by high and low percentage shots that would paint a slightly different picture. But with that said, we have what we have as far as collected data (straight from the MN HH), and normalizing the raw SV% according to relative strength of the opponent that the goalie is facing is much better than depending upon the raw percentage alone.

[itsfoilcoach]

Bow Hunter .. Yes I agree with you with respect to not seeing a lot of good goalies this past weekend, but there were a few that did rise to the top. Be aware of the statistical concept of normalization. The result give you a relative re-scaling, not an absolute measure, and is a tool for recruiter and scouts to guide the process of where they travel to go watch a player. As I was sitting watching the AA games, I would like to see shots categorized by high and low percentage shots that would paint a slightly different picture. But with that said, we have what we have as far as collected data (straight from the MN HH), and normalizing the raw SV% according to relative strength of the opponent that the goalie is facing is much better than depending upon the raw percentage alone.

So what your saying even though your data points are flawed, we should use this because "we have what we have". But I would add... Regardless of the "statistical" concept, or the "re-scaling" of data, or the "normalizing" of data, at the end of the day, it's still flawed. There are several undeniable truths about statistics: First and foremost, they can be manipulated, massaged and misstated if not applied correctly, which is is exactly the case here. By expanding the scope of your formula outside its intended purpose you significantly influenced the results useless. My hope is scouts don't use this as a guide for trips. They maybe wasting their time, as well as being very disappointed in what they see.

[massalsa]

It would be great to be able to look at scoring "Normalized for Relative Strength of Opponent (RSOOP)".

Also would be great to be able to look at scoring/points leaders or simply being able to sort graduating years.

[LSQRANK]

Foilman .. please at lease take a basic statistics course from your local community college before you post again on the subject. Might help ...

[itsfoilcoach]

Foilman .. please at lease take a basic statistics course from your local community college before you post again on the subject. Might help ...

Interesting you say that. I was in your class. By the way community colleges are a great way to save money... statistically speaking.

[Clapper]

I would say put your stats interest in another area. This is about the dumbest ranking I have seen. Rather than penalizing goalies based on strength of schedule how about penalize the goalies based on quality of team they play for. It's pretty obvious the better team you play for the less quality scoring chances you see as a goalie. Just because you play a weaker schedule doesn't mean you are seeing lesser quality shots.

[itsfoilcoach]

I would say put your stats interest in another area. This is about the dumbest ranking I have seen. Rather than penalizing goalies based on strength of schedule how about penalize the goalies based on quality of team they play for. It's pretty obvious the better team you play for the less quality scoring chances you see as a goalie. Just because you play a weaker schedule doesn't mean you are seeing lesser quality shots.

Spot on. That's exactly the point here. Mr LSQ just doesn't get it ...no disrespect intended.

[MN_Bowhunter]

I guess where I get lost is because I can't math too good.

I don't understand why the adjusted percentages are so low.

For it to make sense to me it would need to adjust each goalie's % up or down based on the strength of her own team and the opposition.

Goldstein at Edina would have to come down simply because she's on the best team, but conversely, Winona's % should go up.

That's where ya lost me, but I admit that's my problem, not yours. I can see where goalies with lower actual % are ranked higher than others so I know that they are getting that credit, I just don't get the ranking system I guess.

[zooomx]

High School Goalie Stats =/< worthless.

The data getting entered in the front end is worthless to start. Shots on goals being judged by mostly random volunteers, who often are quick, or slow on the shot button. Also, the angle at which the scoring table sits makes it impossible to even correctly judge shots on the long side of each net.

I feel for goalie parents, as people probably do judge many of our goalies first off of stats. Scouts still go and watch, but are they overlooking goalies on bad teams who are facing higher quality shots and easier tap ins?

Watching goalies this season, some of the "elite" goalies did not pass the eye test and were way shakier than their stats would indicate. Other "weaker" goalies via stats were pretty darn solid.

Add in that many of the players on this list only played 7-10 games, we are talking small sample size. So, it is tough to see data like this posted without some strong disclaimers about the quality of the data.

[MNHockeyFan]

I always wondered why more D1 goalies don't come from Minnesota. I don't have the stats to back this up, but if you look at all the D1 teams throughout the country, very few with significant playing time come from Minnesota...at least as a percentage of the total as compared to forwards and defensemen.

Any theories that might help explain this?

[itsfoilcoach]

High School Goalie Stats =/< worthless.

The data getting entered in the front end is worthless to start. Shots on goals being judged by mostly random volunteers, who often are quick, or slow on the shot button. Also, the angle at which the scoring table sits makes it impossible to even correctly judge shots on the long side of each net.

I feel for goalie parents, as people probably do judge many of our goalies first off of stats. Scouts still go and watch, but are they overlooking goalies on bad teams who are facing higher quality shots and easier tap ins?

Watching goalies this season, some of the "elite" goalies did not pass the eye test and were way shakier than their stats would indicate. Other "weaker" goalies via stats were pretty darn solid.

Add in that many of the players on this list only played 7-10 games, we are talking small sample size. So, it is tough to see data like this posted without some strong disclaimers about the quality of the data.

Very well said zooomx.

[itsfoilcoach]

I always wondered why more D1 goalies don't come from Minnesota. I don't have the stats to back this up, but if you look at all the D1 teams throughout the country, very few with significant playing time come from Minnesota...at least as a percentage of the total as compared to forwards and defensemen.

Any theories that might help explain this?

I think for starters part of the reason is the stats plays a huge role. Not very dependable from any aspect. Take a look at the All State and All Conference selections and how they faired over the years after leaving high school, not so good. Most head coaches don't have a clue about a position that's is very technical in nature. Then they go to speak to these scouts and fall back on those erroneouse numbers because they just don't have a clue. I believe they have missed some very talented girls these past few years due to awards and tainted numbers. This is a sistimic issues, as well as a credibility issue for the state of hockey. These scouts have just learned not to look this way as often as they should due to these issues. There is a lot diamonds in the rough out there. They just can't look at those few so called cream of the crops, kind of like that LSQ ranking shows you. That ranking is truly a indicator what is wrong with goalie stats. Zooomx hit the nail on the head...

[MN_Bowhunter]

Partly due to the system only rewarding winning goalies on teams "that matter". Partly because our kids don't play as many games and therefore don't develop as quickly as the eastern or Canadian kids. They're signing them at 15 or 16 years old. Most mn kids aren't even starting varsity yet so unless you're on own of the few AAA teams that travel the globe all off season, well... enjoy playing d3.

[LSQRANK]

BowHunter .. you are absolutely right about contrast between MN High School and 19U_AAA. I noticed on the College Commitment web site that very few MN HS girl goalies were committed compared to kids out of places like Oakville, Chicago Mission, etc... When I did the tally, I was rather shocked at how few MN goalies were on the list! These U19 AAA teams plays upwards of 50 or more games from SEPT-MAR, thats a full 25 games or more for two goalies each team. MN goalies who are splitting time in the nets don't anywhere near that number of games.

[itsfoilcoach]

Partly due to the system only rewarding winning goalies on teams "that matter". Partly because our kids don't play as many games and therefore don't develop as quickly as the eastern or Canadian kids. They're signing them at 15 or 16 years old. Most mn kids aren't even starting varsity yet so unless you're on own of the few AAA teams that travel the globe all off season, well... enjoy playing d3.

Spot on.