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Iowa
GP: 82 | W: 33 | L: 42 | OTL: 7 | P: 73
GF: 224 | GA: 296 | PP%: 17.45% | PK%: 81.48%
DG: | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Iowa
33-42-7, 73pts
7
FINAL
3 Ontario
50-27-5, 105pts
Team Stats
L1StreakW1
18-20-3Home Record27-12-2
15-22-4Away Record23-15-3
5-4-1Last 10 Games5-5-0
2.73Buts par match 3.77
3.61Buts contre par match 3.16
17.45%Pourcentage en avantage numérique19.89%
81.48%Pourcentage en désavantage numérique79.25%
Iowa
33-42-7, 73pts
2
FINAL
6 Toronto
38-37-7, 83pts
Team Stats
L1StreakW1
18-20-3Home Record21-15-5
15-22-4Away Record17-22-2
5-4-1Last 10 Games2-7-1
2.73Buts par match 3.16
3.61Buts contre par match 3.20
17.45%Pourcentage en avantage numérique18.95%
81.48%Pourcentage en désavantage numérique83.18%
Meneurs d'équipe
Buts
Valentin Zykov
25
Passes
Jeremy Lauzon
31
Points
Nicolas Petan
50
Plus/Moins
Maxime Macenauer
22
Victoires
Vitek Vanecek
22
Pourcentage d’arrêts
Vitek Vanecek
0.92

Statistiques d’équipe
Buts pour
224
2.73 GFG
Tirs pour
2477
30.21 Avg
Pourcentage en avantage numérique
17.4%
56 GF
Début de zone offensive
39.6%
Buts contre
296
3.61 GAA
Tirs contre
2919
35.60 Avg
Pourcentage en désavantage numérique
81.5%%
70 GA
Début de la zone défensive
43.2%
Informations de l'équipe

Directeur général
EntraîneurChuck Weber
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,286
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 50
Espoirs15


Historique d'équipe

Saison actuelle33-42-7 (73PTS)
Historique66-84-16 (0.398%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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 moyen
1Tomas JurcoXX100.00693383828176787471717267785051555000281900,000$
2Torrey MitchellXX100.0062268463766489648664646679817965000361856,000$
3Nicolas DeslauriersXX100.009595647492759468706671657566762950003031,300,000$
4Ryan ReavesX100.0095758571947387687067706375808095000341500,000$
5Alexander True (R)X100.00793271789576867074696970784039625000232600,000$
6Zack KassianX100.00916075739276846970697167756665245000301500,000$
7Kole Sherwood (R)X100.00913866788975856673646762784241625000241500,000$
8Dominic TonatinoXXX100.00833092768469846978677168755555495000273975,000$
9Maxime MacenauerX100.00652594757576726791667071676351235000321500,000$
10Nicolas PetanX99.00682988797377798056727165814750575000261800,000$
11Pontus AbergXX100.00612797838173847273716761835554535000272700,000$
12Valentin ZykovXX100.00742790788778817172667061825051635000263850,000$
13Nikita NesterovX100.00733271827088865353535382745038525000272750,000$
14Justin HollX100.00723682729678834950494884725756525000291550,000$
15Jeremy LauzonX100.00874266859087865351544691784641715000241700,000$
16Christian Jaros (R)X100.00783278809276844651464686734748615000251500,000$
17Sebastian Aho (D) (R)X100.00752585807777804850434481704746655000251600,000$
18Tarmo Reunanen (R)X100.00772785838680844452454383734040675000232500,000$
Rayé
1Shawn MatthiasXX100.00642874658276856566616259766874275000331755,000$
2Andrej SustrX100.00713859738684895050485283625557475000301600,000$
MOYENNE D’ÉQUIPE99.9577387977857784626561617275555547500
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 moyen
1Vitek Vanecek98.0073849089849392969792954949705000251500,000$
Rayé
1Jon Gillies100.0069757397809292908988855353635000272650,000$
MOYENNE D’ÉQUIPE99.007180829382939293939090515167500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chuck Weber75787679828069USA4611,000,000$


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
1Nicolas PetanIowa (MIN)C52212950-28026901414111914.89%498418.9461218321710110734238.29%138400001.0204000523
2Dominic TonatinoIowa (MIN)C/LW/RW74212849-1726012396232521589.05%10139918.91611174923300041031150.41%73600000.7003000423
3Valentin ZykovIowa (MIN)LW/RW782523481022062641885215013.30%5123115.79268221180002564251.72%14500000.7801000622
4Nicolas DeslauriersIowa (MIN)LW/RW78242246-2314325289692017817011.94%8148419.0389175325300021147045.11%23500000.6235004218
5Christian JarosIowa (MIN)D81172744-2595512275115497614.78%138190523.5211920612690112274120.00%000000.4600001122
6Pontus AbergIowa (MIN)LW/RW81152944-25201098229651866.55%4144617.865914482480000462047.42%9700000.6111000112
7Tomas JurcoIowa (MIN)LW/RW55152439-534103567169471318.88%3102518.65099241431014903048.57%10500000.7601001330
8Alexander TrueIowa (MIN)C63122537-2043593125181521406.63%13112717.89279321570004653047.92%149200010.6601000121
9Nikita NesterovIowa (MIN)D7862834-47401198512547894.80%104153419.673912571740001182000.00%000000.4400000111
10Justin HollIowa (MIN)D7872734-216210744910827626.48%134173422.24246452490002275000.00%000000.3900101011
11Jeremy LauzonIowa (MIN)D4633134-9620132617718433.90%83109323.78369481430220165010.00%000000.6201000130
12Maxime MacenauerIowa (MIN)C4282028222046110235607.84%563315.08000000002791053.99%81500000.8813000012
13Sebastian Aho (D)Iowa (MIN)D62514191460542935103214.29%7693015.0100001011187100.00%200000.4100000021
14Tarmo ReunanenIowa (MIN)D8131619-1672098545014326.00%87120114.8300057000056010.00%000000.3200000000
15Ryan ReavesIowa (MIN)RW4281018146351022810928637.34%573917.61123221110003841054.35%4600000.4903001021
16Torrey MitchellIowa (MIN)C/RW815914-2980121309226765.43%9104512.9010175401111830056.98%132500000.2701000000
17Andrej SustrIowa (MIN)D395813-1065554286920457.25%5782021.04235371370000111000.00%000000.3200001002
18Zack KassianIowa (MIN)RW3484122315421954143014.81%440411.890001620221212158.62%2900000.5900001201
19David RundbladMinnesotaD225712-71156274773010.64%3152723.994592680000279100.00%000000.4500001000
20Kole SherwoodIowa (MIN)RW63369-1545571225428715.56%35308.4202219000010046.43%2800000.3400100000
21Shawn MatthiasIowa (MIN)C/LW62549-2312029377422676.76%486814.01000040001350047.11%32900000.2100000001
22Paul StastnyMinnesotaC1000-120071030.00%02323.3700004000030052.38%4200000.00%00000000
Statistiques d’équipe totales ou en moyenne1293221391612-2039288015571321245373218339.01%7872269217.55561031595702580369332291311048.77%681000010.545242011272531
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
1Vitek VanecekIowa (MIN)42221540.9202.7125046211314210300.750244118831
2Jon GilliesIowa (MIN)2681400.9003.59133700808020100.00%02155212
3Corey CrawfordMinnesota1941130.8714.36105900775950010.6673190112
Statistiques d’équipe totales ou en moyenne87344070.9043.3149016227028180412781731155


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 Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander TrueIowa (MIN)C231997-07-17Yes202 Lbs6 ft5NoNoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Andrej SustrIowa (MIN)D301990-11-29No228 Lbs6 ft7NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Christian JarosIowa (MIN)D251996-04-02Yes226 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Dominic TonatinoIowa (MIN)C/LW/RW271994-03-09 12:25:16No191 Lbs6 ft2NoNoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Lien
Jeremy LauzonIowa (MIN)D241997-04-28No205 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$0$0$NoLien
Jon GilliesIowa (MIN)G271994-01-22 09:32:13No225 Lbs6 ft6NoNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Justin HollIowa (MIN)D291992-01-30No209 Lbs6 ft2NoNoNoNo1Pro & Farm550,000$0$0$NoLien
Kole SherwoodIowa (MIN)RW241997-01-22Yes215 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Maxime MacenauerIowa (MIN)C321989-01-01No205 Lbs5 ft11NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Nicolas DeslauriersIowa (MIN)LW/RW301991-02-22 07:15:59No219 Lbs6 ft3NoNoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Nicolas PetanIowa (MIN)C261995-03-22No167 Lbs5 ft9NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Nikita NesterovIowa (MIN)D271994-03-28No197 Lbs5 ft11NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Pontus AbergIowa (MIN)LW/RW271993-09-23No197 Lbs6 ft0NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Ryan ReavesIowa (MIN)RW341987-01-20 07:20:23No225 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Sebastian Aho (D)Iowa (MIN)D251996-02-17 17:00:24Yes188 Lbs5 ft10NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Shawn MatthiasIowa (MIN)C/LW331988-02-19No227 Lbs6 ft3NoNoNoNo1Pro & Farm755,000$0$0$No
Tarmo ReunanenIowa (MIN)D231998-03-01Yes186 Lbs6 ft0NoNoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tomas JurcoIowa (MIN)LW/RW281992-12-28No194 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Torrey MitchellIowa (MIN)C/RW361985-01-30No187 Lbs5 ft11NoNoNoNo1Pro & Farm856,000$0$0$NoLien
Valentin ZykovIowa (MIN)LW/RW261995-05-15No222 Lbs6 ft0NoNoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Vitek VanecekIowa (MIN)G251996-01-09 09:06:02No189 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Zack KassianIowa (MIN)RW301991-01-24 07:35:55No211 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.77205 Lbs6 ft21.50685,727$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tomas JurcoNicolas PetanNicolas Deslauriers32122
2Dominic TonatinoAlexander TrueRyan Reaves32122
3Pontus AbergMaxime MacenauerZack Kassian26122
4Valentin ZykovTorrey MitchellKole Sherwood10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy LauzonJustin Holl40122
2Christian JarosNikita Nesterov30122
3Tarmo ReunanenSebastian Aho (D)20122
4Jeremy LauzonJustin Holl10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tomas JurcoNicolas PetanNicolas Deslauriers60122
2Dominic TonatinoAlexander TrueRyan Reaves40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy LauzonJustin Holl60122
2Christian JarosNikita Nesterov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas PetanTomas Jurco60122
2Nicolas DeslauriersRyan Reaves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy LauzonJustin Holl60122
2Christian JarosNikita Nesterov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nicolas Petan60122Jeremy LauzonJustin Holl60122
2Tomas Jurco40122Christian JarosNikita Nesterov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas PetanTomas Jurco60122
2Nicolas DeslauriersRyan Reaves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy LauzonJustin Holl60122
2Christian JarosNikita Nesterov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tomas JurcoNicolas PetanNicolas DeslauriersJeremy LauzonJustin Holl
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tomas JurcoNicolas PetanNicolas DeslauriersJeremy LauzonJustin Holl
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack Kassian, Pontus Aberg, Valentin ZykovZack Kassian, Pontus AbergValentin Zykov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tarmo Reunanen, Sebastian Aho (D), Christian JarosTarmo ReunanenSebastian Aho (D), Christian Jaros
Tirs de pénalité
Nicolas Petan, Tomas Jurco, Nicolas Deslauriers, Ryan Reaves, Alexander True
Gardien
#1 : Vitek Vanecek, #2 :


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
1Abbotsford41201000910-1211000005502010100045-140.500917260093665991237947778735912230427619315.79%19384.21%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
2Bakersfield422000001011-1211000005502110000056-140.5001019290093665991007947778735913432467518422.22%22577.27%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
3Charlotte20200000417-131010000036-310100000111-1000.0004711009366599697947778735992252241900.00%110100.00%11425295048.31%1479321346.03%572128044.69%1878125720196381068516
4Cleveland21000010633110000003121000001032141.00068140093665994479477787359652341407228.57%13192.31%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
5Grand Rapids2000020079-21000010023-11000010056-120.500713200093665996179477787359762525439333.33%10280.00%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
6Hartford22000000413110000001011100000031241.00046100193665996179477787359592318419222.22%90100.00%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
7Hershey20101000810-21010000025-31000100065120.500815230093665995479477787359812326532150.00%11190.91%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
8Laval311000011112-1211000008801000000134-130.5001119300093665991157947778735911023385411436.36%18477.78%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
9Lehigh Valley21100000770110000003211010000045-120.500711180093665994579477787359771322389222.22%11372.73%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
10Manitoba614010001318-53110100087130300000511-640.3331322350093665991747947778735918057811032827.14%23865.22%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
11Milwaukee623001001920-131100100981312000001012-250.4171935540093665991987947778735920461769327622.22%29582.76%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
12Ontario4300001021101121000010105522000000115681.0002136570093665991367947778735916039409513430.77%20385.00%11425295048.31%1479321346.03%572128044.69%1878125720196381068516
13Providence4300000114122220000008622100000166070.875142741009366599135794777873591345346862129.52%12191.67%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
14Rochester210010001055100010004311100000062441.00010192900936659976794777873596723133313323.08%30100.00%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
15Rockford60600000831-2330300000523-183030000038-500.000814220093665991457947778735926977531032129.52%24579.17%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
16San Diego422000001115-421100000710-32110000045-140.5001119300093665991387947778735914232389318211.11%18383.33%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
17San Jose422000001618-220200000712-52200000096340.5001626420093665991437947778735913546338513538.46%13561.54%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
18Springfield624000001023-1331200000510-531200000513-840.33310172711936659920479477787359206426611819315.79%31583.87%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
19Texas61400001922-1330200001512-731200000410-630.250915240093665991617947778735920052811022414.17%25484.00%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
20Toronto20200000413-91010000027-51010000026-400.00047110093665994679477787359100243653200.00%16568.75%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
21Tucson41200001912-32110000067-12010000135-230.37591625009366599100794777873591393840698225.00%20290.00%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
22Utica2020000046-21010000023-11010000023-100.00047110093665995279477787359652214348112.50%70100.00%01425295048.31%1479321346.03%572128044.69%1878125720196381068516
23Wilkes-Barre/Scranton312000001011-1110000005412020000057-220.333101828009366599977947778735910231414413215.38%13561.54%11425295048.31%1479321346.03%572128044.69%1878125720196381068516
Total82274204324224296-7241152002211115152-3741122202113109144-35730.445224393617129366599247779477787359291981493815723215617.45%3787081.48%31425295048.31%1479321346.03%572128044.69%1878125720196381068516
_Since Last GM Reset82274204324224296-7241152002211115152-3741122202113109144-35730.445224393617129366599247779477787359291981493815723215617.45%3787081.48%31425295048.31%1479321346.03%572128044.69%1878125720196381068516
_Vs Conference54173102112135190-55278150111172104-3227916010016386-23430.398135236371119366599162279477787359189150659610122083416.35%2444880.33%11425295048.31%1479321346.03%572128044.69%1878125720196381068516
_Vs Division306210110159114-551539011013260-2815312000002754-27160.267591031621193665998827947778735910592893575191191411.76%1322779.55%01425295048.31%1479321346.03%572128044.69%1878125720196381068516

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8273L122439361724772919814938157212
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8227424324224296
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115202211115152
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4112222113109144
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
3215617.45%3787081.48%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
794777873599366599
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
1425295048.31%1479321346.03%572128044.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1878125720196381068516


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
2 - 2022-11-2512Rockford12Iowa1BLSommaire du match
5 - 2022-11-2723Iowa3Milwaukee5ALSommaire du match
7 - 2022-11-2834Springfield2Iowa0BLSommaire du match
10 - 2022-11-2950Texas6Iowa1BLSommaire du match
15 - 2022-12-0274Milwaukee1Iowa4BWSommaire du match
17 - 2022-12-0390Iowa2Springfield8ALSommaire du match
18 - 2022-12-0395Iowa1Rockford3ALSommaire du match
20 - 2022-12-04104Laval2Iowa4BWSommaire du match
23 - 2022-12-06121Manitoba1Iowa3BWSommaire du match
24 - 2022-12-06128Iowa1Texas5ALSommaire du match
26 - 2022-12-07136Iowa1Manitoba2ALSommaire du match
28 - 2022-12-08151Springfield7Iowa1BLSommaire du match
31 - 2022-12-10165Iowa1Springfield5ALSommaire du match
33 - 2022-12-11171Texas4Iowa3BLXXSommaire du match
36 - 2022-12-12191Milwaukee3Iowa2BLXSommaire du match
38 - 2022-12-13204Iowa6Hershey5AWXSommaire du match
40 - 2022-12-14213Iowa5Grand Rapids6ALXSommaire du match
42 - 2022-12-15221Texas2Iowa1BLSommaire du match
46 - 2022-12-17241San Jose8Iowa5BLSommaire du match
48 - 2022-12-18258Iowa3Manitoba5ALSommaire du match
50 - 2022-12-19269Laval6Iowa4BLSommaire du match
54 - 2022-12-21289Utica3Iowa2BLSommaire du match
56 - 2022-12-22302Iowa1San Diego3ALSommaire du match
57 - 2022-12-23311Abbotsford4Iowa2BLSommaire du match
60 - 2022-12-24323Iowa2Utica3ALSommaire du match
63 - 2022-12-26338San Diego4Iowa5BWSommaire du match
65 - 2022-12-27354Iowa2Springfield0AWSommaire du match
67 - 2022-12-28363San Diego6Iowa2BLSommaire du match
69 - 2022-12-29369Iowa0Texas3ALSommaire du match
71 - 2022-12-30383Iowa3Cleveland2AWXXSommaire du match
73 - 2022-12-31389Rockford3Iowa2BLSommaire du match
75 - 2023-01-01401Iowa1Charlotte11ALSommaire du match
77 - 2023-01-02410Bakersfield3Iowa1BLSommaire du match
79 - 2023-01-03420Iowa2Wilkes-Barre/Scranton3ALSommaire du match
81 - 2023-01-04433Milwaukee4Iowa3BLSommaire du match
83 - 2023-01-05442Iowa6Rochester2AWSommaire du match
85 - 2023-01-06451Iowa2Bakersfield5ALSommaire du match
87 - 2023-01-07460Iowa3Wilkes-Barre/Scranton4ALSommaire du match
88 - 2023-01-07468Hartford0Iowa1BWSommaire du match
92 - 2023-01-09487Rockford8Iowa2BLSommaire du match
94 - 2023-01-10493Iowa5Milwaukee4AWSommaire du match
97 - 2023-01-12509Grand Rapids3Iowa2BLXSommaire du match
99 - 2023-01-13526Iowa3Bakersfield1AWSommaire du match
101 - 2023-01-14535Manitoba4Iowa2BLSommaire du match
103 - 2023-01-15547Iowa2Milwaukee3ALSommaire du match
105 - 2023-01-16558Rochester3Iowa4BWXSommaire du match
108 - 2023-01-17569Iowa3San Diego2AWSommaire du match
110 - 2023-01-18581Springfield1Iowa4BWSommaire du match
112 - 2023-01-19590Iowa3Texas2AWSommaire du match
116 - 2023-01-21606Iowa3Laval4ALXXSommaire du match
117 - 2023-01-22610Bakersfield2Iowa4BWSommaire du match
122 - 2023-01-24630Abbotsford1Iowa3BWSommaire du match
124 - 2023-01-25641Iowa2Abbotsford1AWXSommaire du match
126 - 2023-01-26654Lehigh Valley2Iowa3BWSommaire du match
128 - 2023-01-27671Iowa6San Jose5AWSommaire du match
130 - 2023-01-28677Hershey5Iowa2BLSommaire du match
134 - 2023-01-30697Iowa3San Jose1AWSommaire du match
136 - 2023-01-31705San Jose4Iowa2BLSommaire du match
140 - 2023-02-02724Ontario2Iowa6BWSommaire du match
143 - 2023-02-04742Iowa1Manitoba4ALSommaire du match
144 - 2023-02-04747Charlotte6Iowa3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2023-02-06768Iowa3Hartford1AWSommaire du match
149 - 2023-02-07774Wilkes-Barre/Scranton4Iowa5BWSommaire du match
153 - 2023-02-09794Manitoba2Iowa3BWXSommaire du match
156 - 2023-02-10807Iowa2Abbotsford4ALSommaire du match
158 - 2023-02-11818Toronto7Iowa2BLSommaire du match
159 - 2023-02-12823Iowa2Providence1AWSommaire du match
162 - 2023-02-13838Iowa1Rockford3ALSommaire du match
163 - 2023-02-14844Ontario3Iowa4BWXXSommaire du match
166 - 2023-02-15860Iowa1Rockford2ALSommaire du match
167 - 2023-02-16868Cleveland1Iowa3BWSommaire du match
172 - 2023-02-18889Iowa1Tucson2ALXXSommaire du match
173 - 2023-02-19891Iowa4Providence5ALXXSommaire du match
174 - 2023-02-19895Tucson2Iowa5BWSommaire du match
178 - 2023-02-21913Iowa2Tucson3ALSommaire du match
179 - 2023-02-22917Providence3Iowa4BWSommaire du match
183 - 2023-02-24928Iowa4Ontario2AWSommaire du match
185 - 2023-02-25940Tucson5Iowa1BLSommaire du match
186 - 2023-02-25945Iowa4Lehigh Valley5ALSommaire du match
192 - 2023-02-28964Providence3Iowa4BWSommaire du match
193 - 2023-03-01968Iowa7Ontario3AWSommaire du match
196 - 2023-03-02982Iowa2Toronto6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,76430,951
Assistance PCT76.54%75.49%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2286 - 76.19% 133,904$5,490,084$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,350,746$ 1,508,600$ 1,508,600$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,619$ 1,350,721$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 12,670$ 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
1Laurent Dauphin1646488152-64016036858011.03%22325019.822242641360221810853.1620.9400
2Sven Andrighetto162509214212481622266467.74%18304118.78103242180000012252.5000.9304
3Zack Smith1624884132-241803242565289.09%36326220.141628441620001210054.9200.8100
4Jordan Schroeder1647456130-12208818050614.62%4300918.35162036132000012247.6920.8624
5Maxim Mamin1644478122-2721881445168.53%12286317.4614223611800004250.0020.8500

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
1Mike Smith98623040.9092.8957220427630200800.77818
2Jeff Zatkoff58241860.8973.3329190016215720020.66712

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
Saison régulière
208238270103223092595041211205111157124334117150521115213517105309526835121179189133042980972103868263676161114113777519.89%2655579.25%21802331754.33%1561295752.79%711135052.67%2045142318616161066540
208238270103223092595041211205111157124334117150521115213517105309526835121179189133042980972103868263676161114113777519.89%2655579.25%21802331754.33%1561295752.79%711135052.67%2045142318616161066540
Total Saison régulière164548408648448592-14482304004422230304-7482244404226218288-70146448786123424186132118184954158815541746118583816281876314464211217.45%75614081.48%62850590048.31%2958642646.03%1144256044.69%375625154038127621371032
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%000000

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