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Reading Royals
GP: 33 | W: 15 | L: 13 | OTL: 5 | P: 48
GF: 106 | GA: 112 | PP%: 18.37% | PK%: 81.44%
DG: Nick | Morale : 40 | Moyenne d’équipe : 71
Prochains matchs #471 vs Colorado Eagles

Centre de jeu
Reading Royals
15-13-5, 48pts
5
4 Utica Devils
22-10-2, 63pts
Team Stats
W2SéquenceW2
7-5-4Fiche domicile11-6-2
8-8-1Fiche domicile11-4-0
4-5-1Derniers 10 matchs8-2-0
3.21Buts par match 3.74
3.39Buts contre par match 2.91
18.37%Pourcentage en avantage numérique25.00%
81.44%Pourcentage en désavantage numérique81.05%
Reading Royals
15-13-5, 48pts
6
4 Athens Rock Lobsters
19-9-6, 61pts
Team Stats
W2SéquenceW1
7-5-4Fiche domicile10-6-3
8-8-1Fiche domicile9-3-3
4-5-1Derniers 10 matchs6-3-1
3.21Buts par match 3.85
3.39Buts contre par match 3.29
18.37%Pourcentage en avantage numérique32.77%
81.44%Pourcentage en désavantage numérique78.91%
Colorado Eagles
23-7-3, 68pts
Jour 84
Reading Royals
15-13-5, 48pts
Statistiques d’équipe
W2SéquenceW2
11-4-2Fiche domicile7-5-4
12-3-1Fiche visiteur8-8-1
7-2-110 derniers matchs4-5-1
3.39Buts par match 3.21
2.48Buts contre par match 3.21
22.79%Pourcentage en avantage numérique18.37%
77.65%Pourcentage en désavantage numérique81.44%
Bakersfield Condors
17-12-4, 51pts
Jour 87
Reading Royals
15-13-5, 48pts
Statistiques d’équipe
L2SéquenceW2
8-7-2Fiche domicile7-5-4
9-5-2Fiche visiteur8-8-1
3-6-110 derniers matchs4-5-1
3.27Buts par match 3.21
3.03Buts contre par match 3.21
23.68%Pourcentage en avantage numérique18.37%
80.39%Pourcentage en désavantage numérique81.44%
Reading Royals
15-13-5, 48pts
Jour 89
Cleveland Monsters
18-9-6, 56pts
Statistiques d’équipe
W2SéquenceW3
7-5-4Fiche domicile11-4-2
8-8-1Fiche visiteur7-5-4
4-5-110 derniers matchs7-1-2
3.21Buts par match 3.39
3.39Buts contre par match 3.39
18.37%Pourcentage en avantage numérique24.03%
81.44%Pourcentage en désavantage numérique81.36%
Meneurs d'équipe
Buts
Joakim Nordstrom
20
Passes
Joakim Nordstrom
17
Points
Joakim Nordstrom
37
Plus/Moins
Joakim Nordstrom
15
Victoires
Joni Ortio
8
Pourcentage d’arrêts
Ivan Fedotov
0.898

Statistiques d’équipe
Buts pour
106
3.21 GFG
Tirs pour
962
29.15 Avg
Pourcentage en avantage numérique
18.4%
18 GF
Début de zone offensive
33.8%
Buts contre
112
3.39 GAA
Tirs contre
1056
32.00 Avg
Pourcentage en désavantage numérique
81.4%%
36 GA
Début de la zone défensive
42.4%
Informations de l'équipe

Directeur généralNick
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,579
Billets de saison1,380


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 250
Espoirs44


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 SPÂgeContratSalaire
1Joakim Nordstrom0X100.0069468377758282707772717073817255407103322,197,999$
2Victor Rask0X100.0057437672758888708873697069807155407003211,071,427$
3Austin Watson0X100.0079527869778174696672676767817355406903322,196,000$
4Mike Hoffman0X98.0058417877657878677069716769837355406903511,250,000$
5Nikolay Goldobin0X100.005737848360797769627569687278615540690294625,000$
6Jean-Sebastien Dea0X100.005830828455767565826966677080695540680312625,000$
7Keegan Kolesar0X100.009764646289787862676663726177745540680281685,000$
8Mason Morelli0X100.008147856782717962626366706478855540680292555,556$
9Tomas Tatar0X100.0070357879537880676468696470826555406803411,569,999$
10Zach Boychuk0X100.008342817856747770677268617183645540680351550,000$
11Michael Eyssimont0X100.007745687665767660606365676677775540660282500,000$
12Arber Xhekaj (R)0X100.009568516498778570507566786370785540740242600,000$
13Jake Dotchin0X100.0093526369898687755079677164807555407403121,784,000$
14Joel Edmundson0X100.0089566868967880665669627558807655407303231,010,000$
15Dylan McIlrath0X100.0092625361997878695070617559817755407203321,010,000$
16Jake Bischoff0X100.006747697885787869506564766579725540720303750,000$
17Andreas Englund0X100.008742778081727265506862676377725540700291500,000$
18Joel Hanley0X100.0053449176708281695072657363828155407003411,784,000$
Rayé
1Dylan Guenther (R)0X89.9759398798688587875885907489657455407902221,750,000$
2Sam Lafferty0X88.998955687178787463716665686479705540680303560,000$
3Sergey Kalinin0X98.728247756676787862786465626581715540660341565,000$
4Hardy Haman Aktell0X100.006244777587637263506560716075695540680261505,000$
MOYENNE D’ÉQUIPE98.89754774747678796863706770677973554070
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 SPÂgeContratSalaire
1Ivan Fedotov0100.008570739076767777777676776255407502812,456,789$
2Magnus Hellberg0100.00725662907275767474757481665840720342775,000$
Rayé
1Joni Ortio097.008167708077798078787978836855407503411,050,000$
2Georgi Romanov0100.007765708871707173737071735655407002511,010,000$
MOYENNE D’ÉQUIPE99.2579656987747576767675757963564073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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’équipePOSGP 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
1Joakim NordstromReading Royals (LAK)C332017371562304261128467315.63%1765819.95641016790004473249.54%8762213001.1212114242
2Dylan GuentherReading Royals (LAK)LW2214152972220284190276915.56%1546221.020668520002571140.86%93499001.2501121521
3Nikolay GoldobinReading Royals (LAK)LW3318102821410395499427718.18%359618.09516116400051143039.62%53179130.9400020402
4Jean-Sebastien DeaReading Royals (LAK)C337916200314250183814.00%2045013.660000140003531158.75%240139000.7101000113
5Mike HoffmanReading Royals (LAK)LW131151662021254832522.92%622217.142245210000221040.00%10141001.4400000101
6Victor RaskReading Royals (LAK)C2451116-3282036617819576.41%1046619.4213410540002820056.00%2751211000.6901103020
7Keegan KolesarReading Royals (LAK)RW3321214131458582564014175.00%1264119.430444730002850059.18%49816000.4400836000
8Arber XhekajReading Royals (LAK)D3311213-430914594554921202.04%4579624.140119820001121000%01127100.33006616000
9Jake DotchinReading Royals (LAK)D3301313-31336582565028220%4183725.380556930006152000%02326000.3100247000
10Austin WatsonReading Royals (LAK)RW203710313522173812197.89%323111.59000227000001016.67%674000.8600001010
11Joel EdmundsonReading Royals (LAK)D3328102602038452513168.00%2362919.06202357000299000%0523000.3200022001
12Jake BischoffReading Royals (LAK)D3309915255234625890%2645213.7301131500009000%0619000.4000100010
13Michael EyssimontReading Royals (LAK)RW2236926026261311123.08%525111.440000600000100%535000.7200000020
14Dylan McIlrathReading Royals (LAK)D3317821615574441710105.88%2862118.840001550000102000%0519000.2600038000
15Zach BoychukReading Royals (LAK)RW23358-15520245723315.26%729212.73123635000001025.00%4131000.5500100000
16Joel HanleyReading Royals (LAK)D310771400932131060%2539812.8700002000167000%069000.3500000001
17Mason MorelliReading Royals (LAK)C332571202838217139.52%43249.82000000000160047.70%17417000.4300000000
18Sam LaffertyReading Royals (LAK)RW21347028103315164918.75%421310.1601108000000160.00%512000.6622020000
19Sergey KalininReading Royals (LAK)C23415-3181036322731114.81%929913.010000210002242155.56%9043000.3300002001
20Tomas TatarReading Royals (LAK)LW22415-67513284312259.30%624010.9200000000020066.67%985000.4200001000
21Andreas EnglundReading Royals (LAK)D20112060161531133.33%922111.0610116000052000%0013000.1800000000
22Brandon SaadLos Angeles KingsLW11010001172114.29%01919.780002200000000%001001.0100000000
23Hardy Haman AktellLos Angeles KingsD6000100030000%1376.270000000002000%00000000000000
Statistiques d’équipe totales ou en moyenne57810516527065104649079481793732456011.21%319936716.211830488777500030111514651.09%1889228232230.5837212551131312
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
1Joni OrtioReading Royals (LAK)158610.8943.488804051479218100.6673153001
2Ivan FedotovReading Royals (LAK)197640.8983.1010272053522256000.5004187121
3Magnus HellbergReading Royals (LAK)30100.8734.778800755280000023000
Statistiques d’équipe totales ou en moyenne37151350.8953.3419966011110565021073333122


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andreas EnglundReading Royals (LAK)D291996-01-21SWENo201 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$279,255$0$0$No---------------------------Lien
Arber XhekajReading Royals (LAK)D242001-01-30CANYes238 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$335,106$0$0$No600,000$--------600,000$--------No--------Lien
Austin WatsonReading Royals (LAK)RW331992-01-13USANo205 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,196,000$1,226,489$0$0$No2,196,000$--------2,196,000$--------No--------Lien
Dylan GuentherReading Royals (LAK)LW222003-04-10CANYes174 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,750,000$977,394$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Dylan McIlrathReading Royals (LAK)D331992-04-20CANNo232 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,010,000$564,096$0$0$No1,010,000$--------1,010,000$--------No--------
Georgi RomanovReading Royals (LAK)G251999-12-15RUSNo207 Lbs6 ft5NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm1,010,000$564,096$0$0$No---------------------------Lien
Hardy Haman AktellLos Angeles KingsD261998-07-04SWENo198 Lbs6 ft4NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm505,000$282,048$0$0$No---------------------------Lien
Ivan FedotovReading Royals (LAK)G281996-11-28RUSNo188 Lbs6 ft6NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm2,456,789$1,372,143$0$0$No---------------------------Lien
Jake BischoffReading Royals (LAK)D301994-07-25USANo194 Lbs6 ft1NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm750,000$418,883$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jake DotchinReading Royals (LAK)D311994-03-24CANNo212 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,784,000$996,383$0$0$No1,784,000$--------1,784,000$--------No--------Lien
Jean-Sebastien DeaReading Royals (LAK)C311994-02-08CANNo168 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm625,000$349,069$0$0$No625,000$--------625,000$--------No--------Lien
Joakim NordstromReading Royals (LAK)C331992-02-25SWENo194 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,197,999$1,227,606$0$0$No2,197,999$--------2,197,999$--------No--------
Joel EdmundsonReading Royals (LAK)D321993-06-28CANNo225 Lbs6 ft5NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm1,010,000$564,096$0$0$No1,010,000$1,010,000$-------1,010,000$1,010,000$-------NoNo-------Lien
Joel HanleyReading Royals (LAK)D341991-06-08CANNo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,784,000$996,383$0$0$No---------------------------Lien
Joni OrtioReading Royals (LAK)G341991-04-16FINNo190 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,050,000$586,436$0$0$No---------------------------Lien
Keegan KolesarReading Royals (LAK)RW281997-04-08CANNo214 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm685,000$382,580$0$0$No---------------------------Lien
Magnus HellbergReading Royals (LAK)G341991-04-04SWENo220 Lbs6 ft6NoNoFree AgentNoNo22025-10-25FalseFalsePro & Farm775,000$432,846$0$0$No775,000$--------775,000$--------No--------Lien
Mason MorelliReading Royals (LAK)C291996-02-01USANo201 Lbs6 ft1NoNoFree AgentNoNo22025-10-25FalseFalsePro & Farm555,556$310,284$0$0$No555,556$--------555,556$--------No--------Lien
Michael EyssimontReading Royals (LAK)RW281996-09-09USANo180 Lbs6 ft0NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm500,000$279,255$0$0$No500,000$--------500,000$--------No--------Lien
Mike HoffmanReading Royals (LAK)LW351989-11-24CANNo183 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,250,000$698,138$0$0$No---------------------------Lien
Nikolay GoldobinReading Royals (LAK)LW291995-10-07RUSNo176 Lbs5 ft11NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm625,000$349,069$0$0$No625,000$625,000$625,000$------625,000$625,000$625,000$------NoNoNo------
Sam LaffertyReading Royals (LAK)RW301995-03-06USANo205 Lbs6 ft2NoNoFree AgentNoNo32025-10-20FalseFalsePro & Farm560,000$312,766$0$0$No560,000$560,000$-------560,000$560,000$-------NoNo-------Lien
Sergey KalininReading Royals (LAK)C341991-03-17RUSNo200 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm565,000$315,559$0$0$No---------------------------Lien
Tomas TatarReading Royals (LAK)LW341990-12-01SVKNo172 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,569,999$876,861$0$0$No---------------------------Lien
Victor RaskReading Royals (LAK)C321993-03-01SWENo199 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,071,427$598,403$0$0$No---------------------------
Zach BoychukReading Royals (LAK)RW351989-10-04CANNo185 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm550,000$307,181$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2630.50198 Lbs6 ft21.731,074,453$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HoffmanJoakim NordstromKeegan Kolesar40023
2Tomas TatarVictor RaskMichael Eyssimont20023
3Nikolay GoldobinJean-Sebastien DeaMichael Eyssimont20032
4Mike HoffmanMason MorelliAustin Watson20032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajJake Dotchin40122
2Joel EdmundsonDylan McIlrath30122
3Jake BischoffJoel Hanley20122
4Joel HanleyArber Xhekaj10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HoffmanJoakim NordstromKeegan Kolesar60122
2Nikolay GoldobinVictor RaskAustin Watson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajJake Dotchin60122
2Joel EdmundsonDylan McIlrath40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Victor RaskKeegan Kolesar60122
2Jean-Sebastien DeaNikolay Goldobin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajJake Dotchin60122
2Joel EdmundsonDylan McIlrath40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Victor Rask60122Arber XhekajJake Dotchin60122
2Keegan Kolesar40122Joel EdmundsonDylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Victor RaskKeegan Kolesar60122
2Jean-Sebastien DeaNikolay Goldobin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajJake Dotchin60122
2Joel EdmundsonDylan McIlrath40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Victor RaskJoakim NordstromKeegan KolesarArber XhekajJake Dotchin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Victor RaskJoakim NordstromKeegan KolesarArber XhekajJake Dotchin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolay Goldobin, Jean-Sebastien Dea, Austin WatsonNikolay Goldobin, Jean-Sebastien DeaNikolay Goldobin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Bischoff, Arber Xhekaj, Joel HanleyJake BischoffArber Xhekaj, Joel Hanley
Tirs de pénalité
Victor Rask, Joakim Nordstrom, Michael Eyssimont, Jean-Sebastien Dea, Nikolay Goldobin
Gardien
#1 : Ivan Fedotov, #2 : Magnus Hellberg, #3 : 0
Lignes d’attaque personnalisées en prolongation
Victor Rask, Joakim Nordstrom, Tomas Tatar, Mike Hoffman, Nikolay Goldobin, Jean-Sebastien Dea, Keegan Kolesar, Mason Morelli, Michael Eyssimont, Austin Watson
Lignes de défense personnalisées en prolongation
Arber Xhekaj, Jake Dotchin, Joel Edmundson, Dylan McIlrath, Jake Bischoff


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
TotalDomicileVisiteur
# 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
1Abbotsford Canucks2110000045-1000000000002110000045-130.5004812002242404623093143271954167258400.00%12375.00%034467750.81%44085151.70%24147750.52%676362702327618294
2Athens Rock Lobsters11000000642000000000001100000064231.00069150022424042830931432719331241285240.00%8187.50%034467750.81%44085151.70%24147750.52%676362702327618294
3Bakersfield Condors2010010047-31000010023-11010000024-210.1674610002242404443093143271962354049600.00%10190.00%034467750.81%44085151.70%24147750.52%676362702327618294
4Bloomington Bison11000000523000000000001100000052331.00057120022424043530931432719271319238337.50%2150.00%034467750.81%44085151.70%24147750.52%676362702327618294
5Bridgeport Islanders1010000036-3000000000001010000036-300.000358002242404263093143271945102425200.00%20100.00%034467750.81%44085151.70%24147750.52%676362702327618294
6Cleveland Monsters21000100963110000005141000010045-140.667917260022424045830931432719683099565120.00%12375.00%034467750.81%44085151.70%24147750.52%676362702327618294
7Coachella Valley Firebirds2010010036-31000010023-11010000013-210.167358002242404463093143271971154635800.00%13284.62%034467750.81%44085151.70%24147750.52%676362702327618294
8Colorado Eagles2110000047-3110000003121010000016-530.500461000224240454309314327196319105505240.00%15473.33%034467750.81%44085151.70%24147750.52%676362702327618294
9Grand Rapids Griffins20200000512-71010000025-31010000037-400.0005914002242404623093143271967225549400.00%15286.67%034467750.81%44085151.70%24147750.52%676362702327618294
10Greensboro Gargoyles1000000123-11000000123-10000000000010.333246002242404283093143271936104731100.00%6183.33%034467750.81%44085151.70%24147750.52%676362702327618294
11Greenville Swamp Rabbits11000000431000000000001100000043131.000471100224240428309314327192832236000%6183.33%034467750.81%44085151.70%24147750.52%676362702327618294
12Henderson Silver Knights1010000013-2000000000001010000013-200.00012300224240425309314327193164826500.00%4175.00%034467750.81%44085151.70%24147750.52%676362702327618294
13Iowa Heartlanders1010000027-51010000027-50000000000000.000235002242404333093143271934115726200.00%11463.64%034467750.81%44085151.70%24147750.52%676362702327618294
14Laval Rocket1010000046-21010000046-20000000000000.0004610002242404383093143271938103027400.00%5180.00%034467750.81%44085151.70%24147750.52%676362702327618294
15Macon Whoopee220000001037110000003121100000072561.000101525002242404653093143271967234445300.00%120100.00%034467750.81%44085151.70%24147750.52%676362702327618294
16Milwaukee Admirals2020000058-31010000024-21010000034-100.000591400224240458309314327195517515210330.00%8450.00%034467750.81%44085151.70%24147750.52%676362702327618294
17Orlando Solar Bears11000000725110000007250000000000031.00071320002242404373093143271927842155240.00%60100.00%034467750.81%44085151.70%24147750.52%676362702327618294
18Pee Dee Pride21000010743100000103211100000042250.83371118002242404633093143271970115855300.00%14285.71%034467750.81%44085151.70%24147750.52%676362702327618294
19Providence Bruins1010000013-21010000013-20000000000000.00012300224240432309314327192732721100.00%6183.33%034467750.81%44085151.70%24147750.52%676362702327618294
20Rochester Americans10001000321000000000001000100032120.66734700224240430309314327193183123100.00%8187.50%034467750.81%44085151.70%24147750.52%676362702327618294
21Rockford IceHogs22000000954220000009540000000000061.0009122100224240461309314327196118535511218.18%9188.89%034467750.81%44085151.70%24147750.52%676362702327618294
22San Diego Gulls1000010034-11000010034-10000000000010.3333470022424041730931432719191037194250.00%6183.33%034467750.81%44085151.70%24147750.52%676362702327618294
23Utica Devils11000000541000000000001100000054131.000591400224240432309314327194216182611100.00%4175.00%034467750.81%44085151.70%24147750.52%676362702327618294
Total33131301411106112-6166500311505001778011005662-6480.4851061732790022424049623093143271910563261066830981818.37%1943681.44%034467750.81%44085151.70%24147750.52%676362702327618294
_Since Last GM Reset33131301411106112-6166500311505001778011005662-6480.4851061732790022424049623093143271910563261066830981818.37%1943681.44%034467750.81%44085151.70%24147750.52%676362702327618294
_Vs Conference2399004106972-3115200310342951247001003543-8330.4786911118000224240465030931432719715235727572761317.11%1322581.06%034467750.81%44085151.70%24147750.52%676362702327618294
_Vs Division925002002128-730100200711-4624000001417-380.296213556002242404243309314327192577727321339820.51%451273.33%034467750.81%44085151.70%24147750.52%676362702327618294

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3348W21061732799621056326106683000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3313131411106112
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
166503115050
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
177811005662
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
981818.37%1943681.44%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
309314327192242404
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
34467750.81%44085151.70%24147750.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
676362702327618294


Derniers matchs 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
213Reading Royals1Henderson Silver Knights3LSommaire du match
427Reading Royals5Bloomington Bison2WSommaire du match
639Coachella Valley Firebirds3Reading Royals2LXSommaire du match
855Milwaukee Admirals4Reading Royals2LSommaire du match
1070Rockford IceHogs3Reading Royals5WSommaire du match
1282Reading Royals3Abbotsford Canucks2WSommaire du match
1495San Diego Gulls4Reading Royals3LXSommaire du match
15104Orlando Solar Bears2Reading Royals7WSommaire du match
18126Providence Bruins3Reading Royals1LSommaire du match
20132Reading Royals4Greenville Swamp Rabbits3WSommaire du match
23145Macon Whoopee1Reading Royals3WSommaire du match
25156Reading Royals3Grand Rapids Griffins7LSommaire du match
28171Reading Royals4Pee Dee Pride2WSommaire du match
32192Colorado Eagles1Reading Royals3WSommaire du match
34202Bakersfield Condors3Reading Royals2LXSommaire du match
38219Reading Royals4Cleveland Monsters5LXSommaire du match
41233Cleveland Monsters1Reading Royals5WSommaire du match
44246Reading Royals2Bakersfield Condors4LSommaire du match
47258Reading Royals1Colorado Eagles6LSommaire du match
50274Pee Dee Pride2Reading Royals3WXXSommaire du match
53288Grand Rapids Griffins5Reading Royals2LSommaire du match
57307Reading Royals7Macon Whoopee2WSommaire du match
59309Reading Royals3Bridgeport Islanders6LSommaire du match
62331Reading Royals3Rochester Americans2WXSommaire du match
63339Laval Rocket6Reading Royals4LSommaire du match
66357Greensboro Gargoyles3Reading Royals2LXXSommaire du match
68373Reading Royals1Abbotsford Canucks3LSommaire du match
70392Rockford IceHogs2Reading Royals4WSommaire du match
72405Reading Royals3Milwaukee Admirals4LSommaire du match
74416Reading Royals1Coachella Valley Firebirds3LSommaire du match
76426Iowa Heartlanders7Reading Royals2LSommaire du match
78437Reading Royals5Utica Devils4WSommaire du match
80452Reading Royals6Athens Rock Lobsters4WSommaire du match
84471Colorado Eagles-Reading Royals-
87489Bakersfield Condors-Reading Royals-
89500Reading Royals-Cleveland Monsters-
92513Lehigh Valley Phantoms-Reading Royals-
93520Reading Royals-Lehigh Valley Phantoms-
95539Reading Royals-Wheeling Nailers-
98560Wheeling Nailers-Reading Royals-
100568Savannah Ghost Pirates-Reading Royals-
102586Reading Royals-Trois Rivieres Lions-
104597Bloomington Bison-Reading Royals-
107614Henderson Silver Knights-Reading Royals-
111627Reading Royals-San Diego Gulls-
113641Macon Whoopee-Reading Royals-
115645Reading Royals-Grand Rapids Griffins-
119666Reading Royals-Pee Dee Pride-
121674Reading Royals-Laval Rocket-
123691Rochester Americans-Reading Royals-
125701Bridgeport Islanders-Reading Royals-
127715Greenville Swamp Rabbits-Reading Royals-
129734Reading Royals-Providence Bruins-
131747Reading Royals-Orlando Solar Bears-
135768Abbotsford Canucks-Reading Royals-
137784Reading Royals-Rockford IceHogs-
139797Milwaukee Admirals-Reading Royals-
142809Reading Royals-Coachella Valley Firebirds-
144825Reading Royals-Greensboro Gargoyles-
146833Reading Royals-Iowa Heartlanders-
149850Utica Devils-Reading Royals-
151861Athens Rock Lobsters-Reading Royals-
154879Reading Royals-Savannah Ghost Pirates-
156894Trois Rivieres Lions-Reading Royals-
158898Reading Royals-Colorado Eagles-
160916Reading Royals-Bakersfield Condors-
162927Cleveland Monsters-Reading Royals-
164942Pee Dee Pride-Reading Royals-
166953Grand Rapids Griffins-Reading Royals-
168972Reading Royals-Macon Whoopee-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171984Abbotsford Canucks-Reading Royals-
1731001Reading Royals-Rockford IceHogs-
1751014Reading Royals-Milwaukee Admirals-
1771026Coachella Valley Firebirds-Reading Royals-
1801049Bloomington Bison-Reading Royals-
1811063Reading Royals-Bloomington Bison-
1831077Reading Royals-Henderson Silver Knights-
1841091Henderson Silver Knights-Reading Royals-
1861103San Diego Gulls-Reading Royals-
1871110Reading Royals-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2612
Assistance29,60611,665
Assistance PCT92.52%72.91%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2579 - 85.98% 57,592$921,468$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,195,075$ 2,743,078$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,195,075$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,382,202$ 105 14,591$ 1,532,055$




Reading Royals Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Reading Royals Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Reading Royals Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Reading Royals Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Reading Royals Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA