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Iowa
GP: 82 | W: 24 | L: 50 | OTL: 8 | P: 56
GF: 217 | GA: 343 | PP%: 15.16% | PK%: 78.18%
DG: Martin Mercier | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Bakersfield
39-35-8, 86pts
5
FINAL
3 Iowa
24-50-8, 56pts
Team Stats
OTL1SéquenceW1
17-20-4Fiche domicile16-18-7
22-15-4Fiche domicile8-32-1
5-4-1Derniers 10 matchs5-4-1
3.20Buts par match 2.65
3.35Buts contre par match 4.18
19.61%Pourcentage en avantage numérique15.16%
82.72%Pourcentage en désavantage numérique78.18%
San Diego
41-31-10, 92pts
2
FINAL
5 Iowa
24-50-8, 56pts
Team Stats
L1SéquenceW1
24-12-5Fiche domicile16-18-7
17-19-5Fiche domicile8-32-1
6-3-1Derniers 10 matchs5-4-1
3.21Buts par match 2.65
3.16Buts contre par match 4.18
17.38%Pourcentage en avantage numérique15.16%
80.65%Pourcentage en désavantage numérique78.18%
Meneurs d'équipe
Nicolas DeslauriersButs
Nicolas Deslauriers
17
Passes
Jonathan Dahlen
29
Points
Jonathan Dahlen
45
Plus/Moins
John Peterka
16
Victoires
Tuukka Rask
15
Pourcentage d’arrêts
Jon Gillies
0.934

Statistiques d’équipe
Buts pour
217
2.65 GFG
Tirs pour
2541
30.99 Avg
Pourcentage en avantage numérique
15.2%
47 GF
Début de zone offensive
38.0%
Buts contre
343
4.18 GAA
Tirs contre
3415
41.65 Avg
Pourcentage en désavantage numérique
78.2%%
72 GA
Début de la zone défensive
43.7%
Informations de l'équipe

Directeur généralMartin Mercier
EntraîneurRalph Krueger
DivisionCentrale
ConférenceConference ouest
CapitaineAlexander True
Assistant #1Jonathan Dahlen
Assistant #2Nicolas Deslauriers


Informations de l’aréna

Capacité3,000
Assistance2,240
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs36


Historique d'équipe

Saison actuelle24-50-8 (56PTS)
Historique0-0-0
Coupe Stanley0


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
1Darren ArchibaldXX100.00814064618576876669656768736858265000331500,000$
2Magnus PaajarviXX100.00633096757877916554646663746352295000321500,000$
3John Peterka (R)XX100.00693092878385997870747967773636835000213900,000$
4Nicolas Deslauriers (A)XX100.009382536988719468706670617573782150003211,300,000$
5Alexander True (C)X100.007837728196788872757270688045425150002521,050,000$
6Troy BrouwerX100.00683384508868966769666569828080165000371500,000$
7Christian FischerXX100.00802896798783987072687270795350605000261800,000$
8Mason McTavish (R)XX100.00803073798885867787747664773232865000203900,000$
9Valeri NichushkinXX100.007832987891849073736873718357515550002811,300,000$
10Dylan SikuraXXX100.00622997847672856865676867765854435000282875,000$
11Jonathan Dahlen (A)XX100.006533998679889074747274647948476850002521,100,000$
12Tyson Jost (R)XX100.00794089858078977275717173754949635000251900,000$
13Erik GustafssonX100.007131727477888759506055896966663450003123,200,000$
14Sebastian Aho (D)X100.00712584837778824952444679735151585000271725,000$
15Dysin MayoX100.00763277798991835451545287785146545000264950,000$
16Tarmo Reunanen (R)X100.00743179908985884755464779774643595000253750,000$
17Connor CliftonX100.00814162817489845651565189785749505000282975,000$
18Kevin GravelX100.00703074679273885350515384776461405000312775,000$
19Fredrik ClaessonX100.00723273778483865550525384725955465000301675,000$
20Lawrence PilutX100.00664188887694875456524984775145585000273825,000$
Rayé
1Darren RaddyshX100.00702693768472754150384280765758405000272750,000$
MOYENNE D’ÉQUIPE100.0074358278848189636361627477555350500
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
1Tuukka Rask100.00669088787989898690768098903350003613,000,000$
2Carey Price100.00578386847489878989767799993250003511,750,000$
Rayé
1Jon Gillies100.0063757584768585838278756060575000291825,000$
2Nico Daws (R)100.0065868078788685868579773636745000222975,000$
MOYENNE D’ÉQUIPE100.006384828177878786877777737149500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ralph Krueger82828583968661CAN6222,000,000$


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’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
1Jonathan DahlenIowa (MIN)LW/RW5716294531402275208501327.69%10107818.9339124714911251724048.89%36000010.8303000213
2Nikita GusevMinnesotaLW/RW72202141-30603464209611259.57%7113215.73246381380002412136.27%10200000.7202000003
3Nicolas DeslauriersIowa (MIN)LW/RW82172138-1514010234671554210910.97%17114814.01044201040000591450.29%17300000.6612101211
4Kevin GravelIowa (MIN)D82152136-2987514871122347812.30%153154218.8110111651960001205200%000000.4700010013
5Mason McTavishIowa (MIN)C/LW24161834121607956101246915.84%452822.0127925740004722152.52%67400011.2900000431
6Dylan SikuraIowa (MIN)C/LW/RW82132134-2410039139224601395.80%9133516.2822424950002460045.25%152500000.5104000001
7Dysin MayoIowa (MIN)D5192332042068449234529.78%84110221.62639481670112174000%000000.5800000104
8John PeterkaIowa (MIN)LW/RW221415291680929124358411.29%645520.6921321671013252038.46%5200001.2700000213
9Connor CliftonIowa (MIN)D514252998315105549541644.21%99112322.03268501720111163000%000000.5200102102
10Alexander TrueIowa (MIN)C41111627-14951026811842979.32%981119.80459271390000862150.28%108200000.6701001132
11Erik GustafssonIowa (MIN)D4142226727545427135575.63%95102424.98044391350000141100%000000.5100001011
12Valeri NichushkinIowa (MIN)LW/RW4191423-6140373211447807.89%853012.9517828960111520050.39%12900100.8700000220
13Tyson JostIowa (MIN)LW/RW3111122372810565011328859.73%1060819.641237641123691144.81%21200000.7602011121
14Lawrence PilutIowa (MIN)D8031619-3722053766429434.69%88101512.70011142500002101100.00%200000.3701000101
15Fredrik ClaessonIowa (MIN)D5041115-336061225414347.41%4466013.211231979000065010%000000.4500000030
16Tarmo ReunanenIowa (MIN)D8231013-4956098626520484.62%114121114.7721313420003101000%000000.2100000010
17Oscar LindbergMinnesotaC/LW/RW154711-12013354510388.89%131921.2912315530000340056.28%46200000.6902000100
18Darren ArchibaldIowa (MIN)LW/RW23641038043203392618.18%539817.311127430000270042.35%25500000.5000000011
19Sebastian Aho (D)Iowa (MIN)D69189-3036047424318342.33%386779.82000110111260040.00%11000000.2700000000
20Darren RaddyshIowa (MIN)D48538-2010021253382315.15%1755911.6600002000051040.32%12400000.2900000010
21Kevin LabancMinnesotaRW17268-315525245520493.64%132118.9003316650000250051.67%6000000.5000010010
22Magnus PaajarviIowa (MIN)LW/RW301674007112410194.17%02086.940002170000230022.22%1800000.6700000002
23Troy BrouwerIowa (MIN)RW20257108096244168.33%130115.0900000000002054.55%2200000.4600000000
24Christian JarosMinnesotaD8123040138207145.00%916320.43011721000026000%000000.3700000001
25Andrew ShawMinnesotaC/RW8213300213601133.33%08811.0100000000000061.22%9800000.6800000000
26Patrik BerglundMinnesotaC/LW/RW3011100013130%03712.6300000000010050.00%4200000.5300000000
27Christian FischerIowa (MIN)LW/RW14000000000000%000.060000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1144193338531-1737215513701136221568315298.71%8291838716.0740661065331955369281671201048.35%550200120.58117236182230
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
1Tuukka RaskIowa (MIN)40152050.9192.9224016111714520100.571144019521
2Carey PriceIowa (MIN)176910.9253.0899400516830001.00031636320
3Nico DawsIowa (MIN)62310.9163.4336700212490100.750460000
4Jon GilliesIowa (MIN)30210.9342.611840081220000.750433100
Statistiques d’équipe totales ou en moyenne66233480.9213.003947611972506020256558941


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Alexander TrueIowa (MIN)C251997-07-17DENNo202 Lbs6 ft5NoNoN/ANoNo22024-09-15FalseFalsePro & Farm1,050,000$0$0$No1,050,000$--------1,050,000$--------No--------Lien
Carey Price (contrat à 1 volet)Iowa (MIN)G351987-08-16CANNo232 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm1,750,000$17,500$0$No---------------------------
Christian Fischer (contrat à 1 volet)Iowa (MIN)LW/RW261997-04-15USANo214 Lbs6 ft2NoNoTrade2025-03-01YesYes12024-09-14FalseFalsePro & Farm800,000$8,000$0$No---------------------------Lien / Lien NHL
Connor CliftonIowa (MIN)D281995-04-28USANo176 Lbs5 ft11NoNoN/ANoNo22024-09-15FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Darren ArchibaldIowa (MIN)LW/RW331990-02-09CANNo213 Lbs6 ft3NoNoFree AgentNoNo12025-01-20FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Darren RaddyshIowa (MIN)D271996-02-28CANNo200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Dylan SikuraIowa (MIN)C/LW/RW281995-06-01CANNo170 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Dysin MayoIowa (MIN)D261996-08-17CANNo195 Lbs6 ft2NoNoN/ANoNo42024-09-15FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien
Erik Gustafsson (contrat à 1 volet)Iowa (MIN)D311992-03-14SWENo198 Lbs6 ft0NoNoTrade2025-01-19YesYes2FalseFalsePro & Farm3,200,000$32,000$0$No3,200,000$--------3,200,000$--------No--------Lien / Lien NHL
Fredrik ClaessonIowa (MIN)D301992-11-24SWENo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm675,000$0$0$No---------------------------Lien
John PeterkaIowa (MIN)LW/RW212002-01-14DEUYes189 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jon GilliesIowa (MIN)G291994-01-22canNo225 Lbs6 ft6NoNoN/ANoNo12024-09-15FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Jonathan DahlenIowa (MIN)LW/RW251997-12-20SWENo180 Lbs5 ft11NoNoN/ANoNo22024-09-15FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Kevin GravelIowa (MIN)D311992-03-06USANo214 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Lawrence PilutIowa (MIN)D271995-12-30SWENo186 Lbs5 ft11NoNoN/ANoNo32024-09-15FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Magnus PaajarviIowa (MIN)LW/RW321991-04-12SWENo221 Lbs6 ft3NoNoFree AgentNoNo12025-01-20FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Mason McTavishIowa (MIN)C/LW202003-01-30CANYes219 Lbs6 ft1NoNoProspectNoNo32024-10-08FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Nico DawsIowa (MIN)G222000-12-22CANYes197 Lbs6 ft2NoNoN/ANoNo22024-09-15FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien NHL
Nicolas DeslauriersIowa (MIN)LW/RW321991-02-22CANNo219 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien / Lien NHL
Sebastian Aho (D)Iowa (MIN)D271996-02-17SWENo188 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm725,000$0$0$No---------------------------Lien
Tarmo ReunanenIowa (MIN)D251998-03-01FINYes186 Lbs6 ft0NoNoN/ANoNo32024-09-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Troy BrouwerIowa (MIN)RW371985-08-17CANNo216 Lbs6 ft3NoNoFree AgentNoNo12025-01-20FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Tuukka Rask (contrat à 1 volet)Iowa (MIN)G361987-03-10FINNo198 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm3,000,000$30,000$0$No---------------------------Lien
Tyson JostIowa (MIN)LW/RW251998-03-14CANYes187 Lbs5 ft11NoNoProspectNoNo12024-10-08FalseFalsePro & Farm900,000$0$0$No---------------------------
Valeri Nichushkin (contrat à 1 volet)Iowa (MIN)LW/RW281995-03-04RUSNo215 Lbs6 ft4NoNoTrade2024-10-09YesYes1FalseFalsePro & Farm1,300,000$13,000$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.24202 Lbs6 ft21.761,072,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Troy BrouwerMason McTavishJohn Peterka35122
2Jonathan DahlenAlexander TrueDylan Sikura30122
3Nicolas DeslauriersDarren ArchibaldTyson Jost25122
4Darren ArchibaldDylan SikuraMagnus Paajarvi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonConnor Clifton35122
2Dysin MayoKevin Gravel30122
3Lawrence PilutTarmo Reunanen25122
4Dysin MayoErik Gustafsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Darren ArchibaldMason McTavishJohn Peterka50122
2Jonathan DahlenAlexander TrueNicolas Deslauriers50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonConnor Clifton50122
2Dysin MayoKevin Gravel50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas DeslauriersMason McTavish50122
2Jonathan DahlenAlexander True50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonConnor Clifton50122
2Dysin MayoKevin Gravel50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonathan Dahlen50122Erik GustafssonConnor Clifton50122
2Mason McTavish50122Dysin MayoKevin Gravel50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mason McTavishNicolas Deslauriers50122
2Jonathan DahlenJohn Peterka50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonConnor Clifton50122
2Dysin MayoKevin Gravel50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason McTavishJonathan DahlenJohn PeterkaErik GustafssonConnor Clifton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason McTavishJonathan DahlenJohn PeterkaErik GustafssonConnor Clifton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Deslauriers, Mason McTavish, Jonathan DahlenNicolas Deslauriers, Jonathan DahlenJonathan Dahlen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lawrence Pilut, Tarmo Reunanen, Connor CliftonLawrence PilutTarmo Reunanen, Erik Gustafsson
Tirs de pénalité
Dylan Sikura, Nicolas Deslauriers, Jonathan Dahlen, Darren Archibald, Mason McTavish
Gardien
#1 : Tuukka Rask, #2 : Carey Price
Lignes d’attaque personnalisées en prolongation
Darren Archibald, John Peterka, Jonathan Dahlen, Mason McTavish, Troy Brouwer, Alexander True, Nicolas Deslauriers, Tyson Jost, Magnus Paajarvi, Dylan Sikura
Lignes de défense personnalisées en prolongation
Erik Gustafsson, Connor Clifton, Dysin Mayo, Kevin Gravel, Lawrence Pilut


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
1Abbotsford532000001314-131200000411-72200000093660.6001322350081785351848248628206017964518517317.65%22386.36%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
2Bakersfield412000011717020100001710-321100000107330.3751732490081785351568248628206014047508815320.00%23578.26%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
3Bridgeport310020001073210010006421000100043161.000101626008178535100824862820601203730779222.22%15286.67%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
4Charlotte30201000812-4100010005412020000038-520.3338132100817853587824862820601404140589222.22%14192.86%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
5Cleveland30300000527-2210100000210-820200000317-1400.0005914008178535728248628206015949336714214.29%11372.73%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
6Coachella Valley41200001811-3210000015502020000036-330.37581523008178535116824862820601525632711616.25%150100.00%11185284441.67%1341327141.00%537136339.40%1812121220996251060511
7Eagles421000011415-12110000089-12100000166050.6251425390081785351478248628206015935166214214.29%8275.00%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
8Grand Rapids31200000911-21010000036-32110000065120.33391726008178535828248628206010028163611218.18%7185.71%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
9Hartford321000001881022000000154111010000034-140.66718335100817853511982486282060972520455240.00%10190.00%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
10Hershey3010011056-11000010012-12010001044030.5005712008178535818248628206014941304611218.18%14378.57%11185284441.67%1341327141.00%537136339.40%1812121220996251060511
11Laval311000011213-1210000018531010000048-430.5001218300081785351188248628206010729185816212.50%9277.78%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
12Lehigh Valley30300000514-91010000005-52020000059-400.00059140081785351068248628206015938395112325.00%16475.00%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
13Manitoba513010001726-9311010001415-120200000311-840.4001728450081785351498248628206020458329819315.79%16475.00%11185284441.67%1341327141.00%537136339.40%1812121220996251060511
14Ontario40300001625-192010000135-220200000320-1710.12561016008178535968248628206019253286714214.29%14471.43%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
15Providence30300000515-1020200000312-91010000023-100.00058130081785351068248628206011639396619315.79%12375.00%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
16Rochester3210000011562200000010191010000014-340.6671121320181785351118248628206011831475116212.50%13376.92%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
17Rockford41200001711-42010000117-62110000064230.375713200081785351288248628206015436347718211.11%16475.00%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
18San Diego413000001115-4211000008712020000038-520.2501121320081785351278248628206014541528815320.00%25772.00%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
19San Jose403000011022-122010000147-320200000615-910.1251019290081785351248248628206016270307119421.05%15846.67%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
20Springfield41300000812-4211000007522020000017-620.25081523008178535114824862820601755431721400.00%13192.31%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
21Syracuse31200000615-91100000032120200000313-1020.3336121800817853561824862820601424628619111.11%12466.67%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
22Texas40400000629-2320200000321-182020000038-500.0006101600817853580824862820602104934771119.09%17570.59%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
23Wilkes-Barre/Scranton30300000613-71010000036-32020000037-400.000612180081785357782486282060136404945700.00%13284.62%01185284441.67%1341327141.00%537136339.40%1812121220996251060511
Total82195004117217343-12641131803106123163-40416320101194180-86560.3412173856020181785352541824862820603415100777915173104715.16%3307278.18%31185284441.67%1341327141.00%537136339.40%1812121220996251060511
_Since Last GM Reset82195004117217343-12641131803106123163-40416320101194180-86560.3412173856020181785352541824862820603415100777915173104715.16%3307278.18%31185284441.67%1341327141.00%537136339.40%1812121220996251060511
_Vs Conference46112801006117197-80246120100564102-3822516000015395-42300.32611721032700817853514218248628206018725633908561722413.95%1844376.63%21185284441.67%1341327141.00%537136339.40%1812121220996251060511
_Vs Division21513010025293-411136010013357-241027000011936-17140.33352911430081785356188248628206090223214738676810.53%701677.14%11185284441.67%1341327141.00%537136339.40%1812121220996251060511

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8256W1217385602254134151007779151701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8219504117217343
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113183106123163
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41632101194180
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3104715.16%3307278.18%3
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
824862820608178535
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
1185284441.67%1341327141.00%537136339.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1812121220996251060511


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
313Abbotsford6Iowa1LSommaire du match
629Springfield3Iowa6WSommaire du match
1050Manitoba3Iowa4WXSommaire du match
1258Iowa2Charlotte4LSommaire du match
1467Iowa2Eagles3LXXSommaire du match
1577San Jose3Iowa1LSommaire du match
1893Iowa1Ontario10LSommaire du match
20101Eagles2Iowa5WSommaire du match
22112Iowa5San Jose6LSommaire du match
24124Iowa1Manitoba4LSommaire du match
26132Ontario3Iowa2LXXSommaire du match
28141Iowa2Coachella Valley3LSommaire du match
30154Coachella Valley3Iowa2LXXSommaire du match
33168Iowa0Wilkes-Barre/Scranton3LSommaire du match
34178Abbotsford1Iowa2WSommaire du match
37192Iowa4Lehigh Valley5LSommaire du match
38202San Jose4Iowa3LXXSommaire du match
41218Iowa2Manitoba7LSommaire du match
43225Iowa3Cleveland13LSommaire du match
44232Eagles7Iowa3LSommaire du match
46249Cleveland10Iowa2LSommaire du match
50260Iowa1Rochester4LSommaire du match
51273Wilkes-Barre/Scranton6Iowa3LSommaire du match
54288Iowa4Laval8LSommaire du match
55298Grand Rapids6Iowa3LSommaire du match
57309Iowa1San Jose9LSommaire du match
60322Texas11Iowa1LSommaire du match
63343Providence9Iowa1LSommaire du match
65353Iowa4Eagles3WSommaire du match
67364Texas10Iowa2LSommaire du match
69375Iowa2Ontario10LSommaire du match
71385Iowa1San Diego4LSommaire du match
74396Abbotsford4Iowa1LSommaire du match
78414Charlotte4Iowa5WXSommaire du match
81433Iowa4Bridgeport3WXSommaire du match
83437Hershey2Iowa1LXSommaire du match
86453Iowa1Charlotte4LSommaire du match
88463Springfield2Iowa1LSommaire du match
90474Iowa0Texas3LSommaire du match
92488Iowa5Rockford1WSommaire du match
93493Providence3Iowa2LSommaire du match
96511Rochester0Iowa3WSommaire du match
98523Iowa0Springfield3LSommaire du match
100533Rochester1Iowa7WSommaire du match
103547Iowa3Wilkes-Barre/Scranton4LSommaire du match
105558Ontario2Iowa1LSommaire du match
110579Syracuse2Iowa3WSommaire du match
112589Iowa5Grand Rapids2WSommaire du match
114597Iowa0Cleveland4LSommaire du match
116605Iowa2San Diego4LSommaire du match
118613Laval3Iowa2LXXSommaire du match
120622Iowa1Springfield4LSommaire du match
122632Iowa3Hartford4LSommaire du match
124640Lehigh Valley5Iowa0LSommaire du match
126652Iowa2Hershey1WXXSommaire du match
128658Iowa1Coachella Valley3LSommaire du match
129666Manitoba8Iowa3LSommaire du match
131679Iowa2Syracuse8LSommaire du match
133691Bridgeport2Iowa3WSommaire du match
136707Iowa1Lehigh Valley4LSommaire du match
137714Laval2Iowa6WSommaire du match
139724Iowa1Syracuse5LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
141737Coachella Valley2Iowa3WSommaire du match
143744Iowa4Abbotsford2WSommaire du match
146761Bridgeport2Iowa3WXSommaire du match
148773Iowa3Texas5LSommaire du match
150786Rockford5Iowa0LSommaire du match
151793Iowa2Hershey3LSommaire du match
154803Iowa1Grand Rapids3LSommaire du match
156814Hartford3Iowa5WSommaire du match
159832Iowa2Providence3LSommaire du match
160839Rockford2Iowa1LXXSommaire du match
164856Hartford1Iowa10WSommaire du match
166866Iowa1Rockford3LSommaire du match
169883Bakersfield5Iowa4LXXSommaire du match
172900Manitoba4Iowa7WSommaire du match
174907Iowa5Abbotsford1WSommaire du match
176916Iowa7Bakersfield2WSommaire du match
179931San Diego5Iowa3LSommaire du match
181941Iowa3Bakersfield5LSommaire du match
185959Bakersfield5Iowa3LSommaire du match
191975San Diego2Iowa5WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance61,69830,133
Assistance PCT75.24%73.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2240 - 74.66% 131,342$5,385,003$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,546,706$ 1,675,000$ 1,675,000$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,634$ 1,546,732$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 18,943$ 0$




Iowa 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

Iowa 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

Iowa 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

Iowa 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

Iowa 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