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Tucson
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Gabriel Lamothe | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralGabriel Lamothe
EntraîneurCurt Fraser
DivisionPacifique
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs60


Historique d'équipe

Saison actuelle0-0
Historique34-38-5 (0.442%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)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 moyen
1Daniel CatenacciX100.00722191748373806481626565775449415000281500,000$
2Nick FolignoX100.00905578708277777292706770777686145000333975,000$
3Adam HenriqueXX100.007239907275908773897272668570794450003131,750,000$
4Lauri TukonenX100.00602394587367856275596555776658245000352500,000$
5David BoothXX100.00571995557962866373626562787673275000362715,000$
6Dylan Gambrell (R)X100.00883092798384847080687172754545595000242700,000$
7Matt ReadXXX100.00613093667474787073676867927773345000352975,000$
8Cody BassXX100.00833956608478866958666869687979195000342930,000$
9Bobby RyanXX100.00663189598878997169687164847372285000342550,000$
10Antti Suomela (R)X100.00802595777874846984687067755555515000271500,000$
11Andreas Borgman (R)X100.00833375828680875454565179734947585000261550,000$
12Derek SmithX100.0057318553797189461434577467773275000362500,000$
13Clay WilsonX100.00582578367160883633403882757878115000382500,000$
14T.J. BrodieX100.006337887376929859505649877369685050003122,800,000$
15Jacob Larsson (R)X100.00793089798584844650494185754545645000241900,000$
16Marc StaalX100.008334787093847749505346877579751750003431,850,000$
17Tucker Poolman (R)X100.00832595778486834250424087755959435000281500,000$
Rayé
1Jack Roslovic (R)XX100.00773095858581997680737672774545775000242800,000$
MOYENNE D’ÉQUIPE100.0073318668817886616360597375656438500
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
Rayé
1Charlie Lindgren100.0074757487789293919288865352655000271500,000$
2Alexandar Georgiyev100.0074878287819595959691864545765000251900,000$
MOYENNE D’ÉQUIPE100.007481788780949493949086494971500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Curt Fraser73756968908164USA642500,000$


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
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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat 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
Adam HenriqueTucson (ARI)C/LW311990-02-06No199 Lbs6 ft0NoNoNo3Pro & Farm1,750,000$0$0$No1,750,000$1,750,000$Lien
Alexandar GeorgiyevTucson (ARI)G251996-02-10 08:26:08No186 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Andreas BorgmanTucson (ARI)D261995-06-18Yes202 Lbs6 ft0NoNoNo1Pro & Farm550,000$0$0$NoLien
Antti SuomelaTucson (ARI)C271994-03-17 09:12:37Yes180 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Bobby RyanTucson (ARI)LW/RW341987-03-17No210 Lbs6 ft2NoNoNo2Pro & Farm550,000$0$0$No550,000$Lien
Charlie LindgrenTucson (ARI)G271993-12-18 07:51:08No186 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Clay WilsonTucson (ARI)D381983-04-05No203 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Cody BassTucson (ARI)C/RW341987-01-07No226 Lbs6 ft0NoNoNo2Pro & Farm930,000$0$0$No930,000$
Daniel CatenacciTucson (ARI)C281993-03-09No200 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLien
David BoothTucson (ARI)LW/RW361984-11-24No224 Lbs6 ft0NoNoNo2Pro & Farm715,000$0$0$No715,000$
Derek SmithTucson (ARI)D361985-01-06No207 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dylan GambrellTucson (ARI)C241996-08-26 05:51:57Yes185 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Jack RoslovicTucson (ARI)C/RW241997-01-29 16:14:32Yes200 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No800,000$
Jacob LarssonTucson (ARI)D241997-04-29 05:56:08Yes190 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Lauri TukonenTucson (ARI)RW351986-01-11No217 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Marc StaalTucson (ARI)D341987-01-13No215 Lbs6 ft4NoNoNo3Pro & Farm1,850,000$0$0$No1,850,000$1,850,000$Lien
Matt ReadTucson (ARI)C/LW/RW351986-01-01No196 Lbs5 ft10NoNoNo2Pro & Farm975,000$0$0$No975,000$Lien
Nick FolignoTucson (ARI)C331987-10-31 07:11:14No211 Lbs6 ft0NoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Lien
T.J. Brodie (contrat à 1 volet)Tucson (ARI)D311990-06-07No189 Lbs6 ft1NoNoYes2Pro & Farm2,800,000$28,000$0$No2,800,000$Lien
Tucker PoolmanTucson (ARI)D281993-06-08 09:17:17Yes199 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.50201 Lbs6 ft11.80894,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam HenriqueCody Bass40122
2Matt ReadBobby Ryan30122
3David BoothDylan GambrellLauri Tukonen20122
4Antti Suomela10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc StaalT.J. Brodie40122
2Andreas BorgmanJacob Larsson30122
3Tucker PoolmanDerek Smith20122
4Clay WilsonMarc Staal10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam HenriqueCody Bass60122
2Matt ReadBobby Ryan40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc StaalT.J. Brodie60122
2Andreas BorgmanJacob Larsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Adam HenriqueDylan Gambrell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc StaalT.J. Brodie60122
2Andreas BorgmanJacob Larsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Marc StaalT.J. Brodie60122
240122Andreas BorgmanJacob Larsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Adam HenriqueDylan Gambrell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc StaalT.J. Brodie60122
2Andreas BorgmanJacob Larsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam HenriqueCody BassMarc StaalT.J. Brodie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam HenriqueCody BassMarc StaalT.J. Brodie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Catenacci, Antti Suomela, David BoothDaniel Catenacci, Antti SuomelaDavid Booth
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tucker Poolman, Derek Smith, Clay WilsonTucker PoolmanDerek Smith, Clay Wilson
Tirs de pénalité
, , Adam Henrique, Dylan Gambrell, Cody Bass
Gardien
#1 : , #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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,509,500$ 1,509,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Tucson Leaders statistiques (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
1Kasperi Kapanen82284674-53068972929.59%5144117.57716237100003449.5701.0300
2Markus Nutivaara82175067151620911719.94%149197124.0451419940002310.00%00.6800
3Carl Hagelin802838662345527426210.69%8130416.311010206200014036.4701.0100
4Adam Gaudette62283664-4165111123212.07%11117218.911215277100013149.4401.0905
5Lawson Crouse8127366313861998426410.23%6129515.993693200043444.8600.9702

Tucson 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
1Jeremy Swayman62272590.8943.38368912020819630220.66715
2Ryan Miller2312450.9172.73127520586990010.7508

Tucson 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
208235290381629727522412012035101481222641151700306149153-492297527824301098896530029131045101159266578192115173426519.01%3957780.51%21735329452.67%1697316753.58%716135752.76%1985133619086341080547
Total Saison régulière82273803842245321-7641181600322126148-224192203520119173-54782454206651399598012249278986180956295485873815023025618.54%2936278.84%31311283946.18%1374323942.42%627133746.90%1860125120446311076522
Séries éliminatoires
2015960000054459624000001624-897200000382117185495149012512170534184179171050395153270701521.43%701282.86%132458755.20%29659250.00%12123551.49%37426133410719198
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Tucson Leaders statistiques (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
1Markus Nutivaara1541216601192814.29%1435923.99246180110100.00%00.8900
2Guillaume Latendresse15781582043204515.56%129119.453141000002054.7611.0300
3Luke Schenn15491332439173611.11%1035023.37437160000200.00%00.7400
4Evander Kane15491380312478.51%019312.90000000000145.4501.3400
5Lawson Crouse156713-21039125311.32%025917.283582000002055.1701.0000

Tucson 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
1Ryan Miller105410.9112.9756601283140100.00%0
2Jeremy Swayman64100.9103.0633300171890000.00%0