Dahlonega Blood Miners

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 9 | GA: 17 | PP%: 15.38% | PK%: 75.00%
DG: Marcus | Morale : 55 | Moyenne d'Équipe : 55
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Lawson Crouse0X100.00919881778259856136505971255555067620
2Garnet Hathaway0XX100.00919960688161835928625870255656080620
3Valentin Zykov0XX100.00614293717465856725707050254545070620
4Daniel Sprong0X100.00696772676767676950646964664747051620
5Jimmy Hayes0X100.00804693668562647037645963416768042620
6Cole Bardreau0XX100.00666862636871736278616060574444068590
7Kyle Criscuolo0XX100.00666081626079846278596060574444077590
8mark visentin0X100.00838555727848765834645558254646072580
9Nick Paul0X100.00804599717551845833505952254747060570
10Frederik Tiffels (R)0XX100.00807494687438355265445664534444044540
11Markus Eisenschmid0X100.00726784636761645063474860464444053540
12Tommy Cross0X100.00747768717781885325494361414444058610
13Scott Harrington0X100.00764491707562525625494873255454056610
14Ashton Sautner0X100.00787193647166714725374162394444058570
15Brenden Kichton0X100.00696676606674805125593958374444074570
Rayé
1Joshua Ho-Sang0X100.00574096816467637336825957254747068630
2Turner Elson0X100.00706875616855555550495660534444050540
3Ryan Penny0X100.00747084647054555350554661444444030540
4Tyler Wong (R)0X100.00686184626170764950454857464444020530
5Branden Troock0X100.00505050505050505050505050505050020480
6Jaden Lindo (R)0X100.00505050505050505050505050505050020480
7Vitaly Abramov (R)0X100.00505050505050505050505050505050020480
8Jiri Sekac0XXX100.00505050505050505050505050505050019480
9Marcel Noebels0XX100.00505050505050505050505050505050020480
10Luke Adam0XX100.0050505050505050505050505050505002048X0
11Emil Molin (R)0XXX100.00505050505050505050505050505050019480
12Kyle Gibbons0X100.00505050505050505050505050505050020480
13Eric Gryba0X100.00927860668665615725504768256566065630
14Andy Welinski0X100.00757281737273776025525364504444077620
15Jalen Chatfield (R)0X100.00746986656970774525344059384444067560
16Adam Ollas Mattsson0X100.00817887657850534125283962374444015540
17Matt MacKenzie0X100.00707167627150524325313957374444019520
18Mike Prapavessis (R)0X100.00505050505050505050505050505050020480
19Dmitry Sinitsyn (R)0X100.00505050505050505050505050505050019480
20Jesse Blacker0X100.00505050505050505050505050505050020480
21Troy Vance (R)0X100.00505050505050505050505050505050019480
MOYENNE D'ÉQUIPE100.0067627061655863544352515843484904455
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Louis Domingue100.0061646383715150636160895656054610
2Jonas Johansson100.0045486084424450524546304444058500
Rayé
1Joacim Eriksson100.0050505050505050505050505050020490
MOYENNE D'ÉQUIPE100.005254587254485055525256505004453
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer58878291635873CAN462250,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Valentin ZykovDahlonega Blood Miners (DAL)LW/RW5224-100810133615.38%38817.6600018000001020.00%522000.9100000100
2Eric GrybaDahlonega Blood Miners (DAL)D5123-3161020764416.67%513226.430000900008000.00%023000.4500200000
3Joshua Ho-SangDahlonega Blood Miners (DAL)RW5033-400512186120.00%213126.250222110000170041.67%1255000.4600000000
4Daniel SprongDahlonega Blood Miners (DAL)RW5123-15514713167.69%19218.540000200000000.00%213000.6500010010
5Frederik TiffelsDahlonega Blood Miners (DAL)C/LW5033100841010.00%17314.7200002000020034.15%4120000.8200000001
6Kyle CriscuoloDahlonega Blood Miners (DAL)C/RW5112-20081070414.29%111022.191011120000170048.08%10420000.3600000000
7Jimmy HayesDahlonega Blood Miners (DAL)RW5112-2407892311.11%28016.120000000000000.00%120000.5000000000
8Lawson CrouseDahlonega Blood Miners (DAL)LW5101134107644325.00%26913.8600004000180025.00%410000.2900110100
9mark visentinDahlonega Blood Miners (DAL)LW510107515431333.33%16913.8110118000150050.00%420000.2900001000
10Andy WelinskiDahlonega Blood Miners (DAL)D5101-31010121381012.50%614428.96000012000019000.00%026000.1400110000
11Tommy CrossDahlonega Blood Miners (DAL)D5011-326201593240.00%512825.67011013000015000.00%008000.1600112000
12Cole BardreauDahlonega Blood Miners (DAL)C/RW5000-3155571150.00%18817.6600008000050055.77%5212000.0000001000
13Garnet HathawayDahlonega Blood Miners (DAL)LW/RW5000-23620987310.00%17515.17000110000020033.33%310000.0000301000
14Ashton SautnerDahlonega Blood Miners (DAL)D500005510150100.00%412424.8300008000011000.00%001000.0000010000
15Nick PaulDahlonega Blood Miners (DAL)LW5000000100000.00%040.810000000000000.00%000000.0000000000
16Markus EisenschmidDahlonega Blood Miners (DAL)C5000-200860010.00%05210.5400000000000037.50%1602000.0000000000
17Scott HarringtonDahlonega Blood Miners (DAL)D5000-1002100000.00%16212.410000200004000.00%012000.0000000000
18Brenden KichtonDahlonega Blood Miners (DAL)D5000000220000.00%0469.300000000000000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne9091524-25158901561389329539.68%36157417.49235611700021191044.67%2442435000.3000855211
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Louis DomingueDahlonega Blood Miners (DAL)51310.8882.94306201513480100.000050000
2Jonas JohanssonDahlonega Blood Miners (DAL)10000.8188.5714002116000.000005000
Stats d'équipe Total ou en Moyenne61310.8833.19320201714586100.000055000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam Ollas MattssonDahlonega Blood Miners (DAL)D2230.07.1996No216 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Andy WelinskiDahlonega Blood Miners (DAL)D2627.04.1993No205 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm690,000$69,000$0$NoLien
Ashton SautnerDahlonega Blood Miners (DAL)D2527.05.1994No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Branden TroockDahlonega Blood Miners (DAL)RW2520.03.1994No201 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Brenden KichtonDahlonega Blood Miners (DAL)D2617.06.1992No185 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,200,000$120,000$0$NoLien
Cole BardreauDahlonega Blood Miners (DAL)C/RW2521.07.1993No185 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Daniel SprongDahlonega Blood Miners (DAL)RW2217.03.1997No180 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Dmitry SinitsynDahlonega Blood Miners (DAL)D2417.06.1994 17:53:40Yes205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$No
Emil MolinDahlonega Blood Miners (DAL)C/LW/RW2603.02.1993Yes179 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Eric GrybaDahlonega Blood Miners (DAL)D3113.04.1988No225 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Frederik TiffelsDahlonega Blood Miners (DAL)C/LW2420.05.1995Yes201 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$50,000$0$NoLien
Garnet HathawayDahlonega Blood Miners (DAL)LW/RW2722.11.1991No208 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Jaden LindoDahlonega Blood Miners (DAL)RW2311.01.1996 08:49:54Yes212 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$50,000$0$No
Jalen ChatfieldDahlonega Blood Miners (DAL)D2315.05.1996Yes188 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm600,000$60,000$0$NoLien
Jesse BlackerDahlonega Blood Miners (DAL)D2818.04.1991No190 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Jimmy HayesDahlonega Blood Miners (DAL)RW2921.11.1989No215 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Jiri SekacDahlonega Blood Miners (DAL)C/LW/RW2610.06.1992No195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$No
Joacim ErikssonDahlonega Blood Miners (DAL)G2909.04.1990No189 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Jonas JohanssonDahlonega Blood Miners (DAL)G2319.09.1995No206 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm850,000$85,000$0$NoLien
Joshua Ho-SangDahlonega Blood Miners (DAL)RW2322.01.1996No173 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,500,000$150,000$0$NoLien
Kyle CriscuoloDahlonega Blood Miners (DAL)C/RW2705.05.1992No170 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Kyle GibbonsDahlonega Blood Miners (DAL)LW2827.04.1991 15:24:45No185 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Lawson CrouseDahlonega Blood Miners (DAL)LW2123.06.1997No220 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm1,500,000$150,000$0$NoLien
Louis DomingueDahlonega Blood Miners (DAL)G2705.03.1992No210 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,150,000$115,000$0$NoLien
Luke AdamDahlonega Blood Miners (DAL)C/LW2817.06.1990No206 Lbs6 ft2NoYesNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Marcel NoebelsDahlonega Blood Miners (DAL)C/LW2714.03.1992No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Markus EisenschmidDahlonega Blood Miners (DAL)C2422.01.1995No169 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Matt MacKenzieDahlonega Blood Miners (DAL)D2715.10.1991No182 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Mike PrapavessisDahlonega Blood Miners (DAL)D2307.01.1996 08:48:16Yes181 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$75,000$0$No
Nick PaulDahlonega Blood Miners (DAL)LW2420.03.1995No230 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Ryan PennyDahlonega Blood Miners (DAL)LW2409.09.1994No192 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Scott HarringtonDahlonega Blood Miners (DAL)D2610.03.1993No219 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Tommy CrossDahlonega Blood Miners (DAL)D2912.09.1989No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Troy VanceDahlonega Blood Miners (DAL)D2502.08.1993 15:50:34Yes203 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Turner ElsonDahlonega Blood Miners (DAL)LW2612.09.1992No195 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Tyler WongDahlonega Blood Miners (DAL)LW2328.02.1996Yes172 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Valentin ZykovDahlonega Blood Miners (DAL)LW/RW2414.05.1995No224 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm675,000$67,500$0$NoLien
Vitaly AbramovDahlonega Blood Miners (DAL)LW2108.05.1998Yes170 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
mark visentinDahlonega Blood Miners (DAL)LW2214.12.1996No204 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3925.21197 Lbs6 ft11.82658,077$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jimmy HayesKyle Criscuolo35122
2Garnet HathawayCole Bardreau30122
3Valentin ZykovFrederik TiffelsDaniel Sprong25122
4Lawson CrouseMarkus EisenschmidDaniel Sprong10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tommy Cross35122
2Ashton Sautner30122
325122
4Tommy Cross10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Garnet HathawayKyle Criscuolo60122
2Garnet HathawayCole Bardreau40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tommy Cross60122
2Ashton Sautner40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kyle Criscuolo60122
2Garnet Hathaway40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tommy Cross60122
2Ashton Sautner40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Tommy Cross60122
240122Ashton Sautner40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Valentin Zykov60122
2Garnet Hathaway40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tommy Cross60122
2Ashton Sautner40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jimmy HayesKyle CriscuoloTommy Cross
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jimmy HayesKyle CriscuoloTommy Cross
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
mark visentin, Valentin Zykov, Lawson Crousemark visentin, Valentin ZykovLawson Crouse
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Tommy Cross, Ashton Sautner, Ashton Sautner
Tirs de Pénalité
Jimmy Hayes, , Kyle Criscuolo, Garnet Hathaway, Valentin Zykov
Gardien
#1 : Louis Domingue, #2 : Jonas Johansson


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Charlottetown Mussle Shovelers51400000917-82110000065130300000312-920.200915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059
Total51400000917-82110000065130300000312-920.200915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059
_Since Last GM Reset51400000917-82110000065130300000312-920.200915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059
_Vs Conference51400000917-82110000065130300000312-920.200915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52OTL191524931453616015600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5140000917
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000065
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000312
Derniers 10 Matchs
WLOTWOTL SOWSOL
130100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
13215.38%20575.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
15235231080
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
308037.50%4910248.04%306248.39%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
98401015812059


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-10-037Dahlonega Blood Miners0Charlottetown Mussle Shovelers2LSommaire du Match
4 - 2018-10-0515Dahlonega Blood Miners1Charlottetown Mussle Shovelers7LSommaire du Match
6 - 2018-10-0723Charlottetown Mussle Shovelers4Dahlonega Blood Miners1LSommaire du Match
8 - 2018-10-0931Charlottetown Mussle Shovelers1Dahlonega Blood Miners5WSommaire du Match
10 - 2018-10-1139Dahlonega Blood Miners2Charlottetown Mussle Shovelers3LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance3,5681,866
Assistance PCT89.20%93.30%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 2717 - 90.57% 108,024$216,048$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,566,500$ 2,383,001$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 39 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
201851400000917-82110000065130300000312-92915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059
Total Séries51400000917-82110000065130300000312-92915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059