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Tucson
GP: 82 | W: 34 | L: 38 | OTL: 10 | P: 78
GF: 245 | GA: 321 | PP%: 18.54% | PK%: 78.84%
DG: Gabriel Lamothe | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Tucson
34-38-10, 78pts
2
FINAL
6 Providence
43-33-6, 92pts
Team Stats
W1StreakW2
20-16-5Home Record24-14-3
14-22-5Away Record19-19-3
4-4-2Last 10 Games6-3-1
2.99Buts par match 3.22
3.91Buts contre par match 3.09
18.54%Pourcentage en avantage numérique15.61%
78.84%Pourcentage en désavantage numérique83.09%
Tucson
34-38-10, 78pts
8
FINAL
7 Laval
37-40-5, 79pts
Team Stats
W1StreakSOL1
20-16-5Home Record16-21-4
14-22-5Away Record21-19-1
4-4-2Last 10 Games5-4-1
2.99Buts par match 3.20
3.91Buts contre par match 3.49
18.54%Pourcentage en avantage numérique18.96%
78.84%Pourcentage en désavantage numérique78.76%
Meneurs d'équipe
Buts
Cody Bass
27
Passes
Marc Staal
37
Points
Matt Read
56
Plus/Moins
Jack Roslovic
5
Victoires
Alexandar Georgiyev
24
Pourcentage d’arrêts
Alexandar Georgiyev
0.909

Statistiques d’équipe
Buts pour
245
2.99 GFG
Tirs pour
2492
30.39 Avg
Pourcentage en avantage numérique
18.5%
56 GF
Début de zone offensive
38.3%
Buts contre
321
3.91 GAA
Tirs contre
2954
36.02 Avg
Pourcentage en désavantage numérique
78.8%%
62 GA
Début de la zone défensive
43.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,291
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs60


Historique d'équipe

Saison actuelle34-38-10 (78PTS)
Historique68-76-10 (0.442%)
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
1Daniel CatenacciX100.00722191748373806481626565775449415000281500,000$
2Nick FolignoX99.00905578708277777292706770777686145000333975,000$
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 StaalX96.008334787093847749505346877579751750003431,850,000$
17Tucker Poolman (R)X100.00832595778486834250424087755959435000281500,000$
Rayé
1Jack Roslovic (R)XX100.00773095858581997680737672774545775000242800,000$
MOYENNE D’ÉQUIPE99.7273318668817886616360597375656438500
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 Lindgren97.0074757487789293919288865352655000271500,000$
2Alexandar Georgiyev98.0074878287819595959691864545765000251900,000$
MOYENNE D’ÉQUIPE97.507481788780949493949086494971500
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
1Matt ReadTucson (ARI)C/LW/RW82253156013526612296113510.92%16131616.0631417371790001137339.47%11400010.8511000114
2Adam HenriqueTucson (ARI)C/LW64253055-30311532902457015310.20%19143022.3669154922001161372058.16%38000010.7744102422
3Marc StaalTucson (ARI)D79163753-33143518969114409214.04%145186423.6081220632450110187210.00%000100.5700001314
4Cody BassTucson (ARI)C/RW82272451-30775222752426614411.16%19162619.84459462482023685142.19%12800100.6313001233
5T.J. BrodieTucson (ARI)D67103646-25255308611236758.93%111147322.0061319652130000189000.00%000000.6200001101
6Bobby RyanTucson (ARI)LW/RW80163046-171605245198641088.08%8135716.96481256206000011049.02%10200000.6801000122
7Dylan GambrellTucson (ARI)C57202545-65001281141835615910.93%14102517.996612299200041060053.67%125400000.8813000035
8Andreas BorgmanTucson (ARI)D78123244-287401706512242879.84%101169221.7010717822270000195400.00%000000.5200000112
9Nick FolignoTucson (ARI)C55102737-58525179124160441386.25%11123922.5428103215300041531055.08%146700000.6013113210
10Antti SuomelaTucson (ARI)C82151429-2424098107155591219.68%988910.840002160000182253.35%104600000.6501000222
11Nazem KadriArizonaC/LW27121527-181002162116318510.34%357221.2014520830111330038.04%9200000.9401000202
12Jacob LarssonTucson (ARI)D7932427-1826055585422385.56%96120915.3113420820001111000.00%000000.4500000210
13Marco ScandellaArizonaD4832023-236052396129484.92%73100420.93268401470111126000.00%000000.4600000021
14Tucker PoolmanTucson (ARI)D8221820-1857583555619443.57%108115814.130111353000187100.00%000000.3500000001
15Jack RoslovicTucson (ARI)C/RW1610919500144776235613.16%139124.4601113600001463151.30%53800010.9701000310
16David BoothTucson (ARI)LW/RW8211718-29180194394257511.70%13114313.95000010002790054.12%8500000.3101000110
17Alexandre TexierArizonaC/LW/RW187815-60013357723559.09%331817.672351335000111153.13%3200000.9400000012
18Derek SmithTucson (ARI)D8231114-419531342881810.71%497739.4300005000037000.00%000000.3600010000
19Lauri TukonenTucson (ARI)RW824711-182021196222536.45%385510.4400000000000046.55%5800000.2600000010
20Clay WilsonTucson (ARI)D82178-82004020168116.25%495827.1100001000027000.00%000000.2700000000
21Ilya MikheyevArizonaLW/RW544840031230101613.33%210521.16101510101390067.86%2800001.5100000200
22Daniel CatenacciTucson (ARI)C82527-46020355622498.93%33504.280003100001261048.15%35100000.4011000001
Statistiques d’équipe totales ou en moyenne1411241418659-3147327014981295248678017609.69%8562238315.8656100156588229634730166230952.83%567500230.59920228272332
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
1Alexandar GeorgiyevTucson (ARI)45241650.9092.9626594313114350111.0003459444
2Charlie LindgrenTucson (ARI)3071540.9043.9716642011011470300.706172656321
3Ville HussoArizona21100.8294.0988006350000.00%020010
Statistiques d’équipe totales ou en moyenne77323290.9063.364413632472617041207365775


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
Adam HenriqueTucson (ARI)C/LW311990-02-06No199 Lbs6 ft0NoNoNoNo3Pro & Farm1,750,000$0$0$No1,750,000$1,750,000$Lien
Alexandar GeorgiyevTucson (ARI)G251996-02-10 08:26:08No186 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Andreas BorgmanTucson (ARI)D261995-06-18Yes202 Lbs6 ft0NoNoNoNo1Pro & Farm550,000$0$0$NoLien
Antti SuomelaTucson (ARI)C271994-03-17 09:12:37Yes180 Lbs6 ft0NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Bobby RyanTucson (ARI)LW/RW341987-03-17No210 Lbs6 ft2NoNoNoNo2Pro & Farm550,000$0$0$No550,000$Lien
Charlie LindgrenTucson (ARI)G271993-12-18 07:51:08No186 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Clay WilsonTucson (ARI)D381983-04-05No203 Lbs6 ft0NoNoNoNo2Pro & Farm500,000$0$0$No500,000$
Cody BassTucson (ARI)C/RW341987-01-07No226 Lbs6 ft0NoNoNoNo2Pro & Farm930,000$0$0$No930,000$
Daniel CatenacciTucson (ARI)C281993-03-09No200 Lbs5 ft10NoNoNoNo1Pro & Farm500,000$0$0$NoLien
David BoothTucson (ARI)LW/RW361984-11-24No224 Lbs6 ft0NoNoNoNo2Pro & Farm715,000$0$0$No715,000$
Derek SmithTucson (ARI)D361985-01-06No207 Lbs6 ft1NoNoNoNo2Pro & Farm500,000$0$0$No500,000$
Dylan GambrellTucson (ARI)C241996-08-26 05:51:57Yes185 Lbs6 ft0NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Jack RoslovicTucson (ARI)C/RW241997-01-29 16:14:32Yes200 Lbs6 ft1NoNoNoNo2Pro & Farm800,000$0$0$No800,000$
Jacob LarssonTucson (ARI)D241997-04-29 05:56:08Yes190 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Lauri TukonenTucson (ARI)RW351986-01-11No217 Lbs6 ft2NoNoNoNo2Pro & Farm500,000$0$0$No500,000$
Marc StaalTucson (ARI)D341987-01-13No215 Lbs6 ft4NoNoNoNo3Pro & Farm1,850,000$0$0$No1,850,000$1,850,000$Lien
Matt ReadTucson (ARI)C/LW/RW351986-01-01No196 Lbs5 ft10NoNoNoNo2Pro & Farm975,000$0$0$No975,000$Lien
Nick FolignoTucson (ARI)C331987-10-31 07:11:14No211 Lbs6 ft0NoNoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Lien
T.J. Brodie (contrat à 1 volet)Tucson (ARI)D311990-06-07No189 Lbs6 ft1NoNoYesYes2Pro & Farm2,800,000$28,000$0$No2,800,000$Lien
Tucker PoolmanTucson (ARI)D281993-06-08 09:17:17Yes199 Lbs6 ft2NoNoNoNo1Pro & 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
1Abbotsford632000011818032000001117431200000711-470.583182745009959801219678986180956182587110923417.39%20575.00%11311283946.18%1374323942.42%627133746.90%1860125120446311076522
2Bakersfield622011001817132000100117430201000710-370.583183351109959801214678986180956194597812418211.11%28582.14%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
3Charlotte302001001222-1020200000615-91000010067-110.16712203200995980121057898618095612132325317529.41%16662.50%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
4Cleveland211000001011-11010000026-41100000085320.50010172700995980125578986180956711820423133.33%10370.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
5Grand Rapids21100000743110000005051010000024-220.500710170199598012537898618095693262039700.00%10190.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
6Hartford22000000642110000003211100000032141.0006121800995980127478986180956551783310220.00%40100.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
7Hershey4210010016133211000007522100010098150.625162945009959801214478986180956151392510219421.05%10280.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
8Iowa421000101293210000105322110000076160.75012193100995980121397898618095610036166220210.00%8275.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
9Laval301001101516-11010000045-1200001101111030.50015264100995980121057898618095611836285613538.46%13469.23%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
10Lehigh Valley2020000059-41010000023-11010000036-300.000591400995980125678986180956902012397114.29%6183.33%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
11Manitoba431000001073220000006332110000044060.7501019290199598012123789861809561403427771317.69%10190.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
12Milwaukee41200100618-122100010066020200000012-1230.375611170099598012997898618095614534618112325.00%21861.90%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
13Ontario623001002336-13321000001114-3302001001222-1050.417234164009959801219378986180956263795310320315.00%24579.17%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
14Providence20200000412-81010000026-41010000026-400.0004610009959801240789861809561182724415240.00%12466.67%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
15Rochester20100010712-51010000039-61000001043120.500711180099598012577898618095674272531500.00%6433.33%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
16Rockford40400000821-1320200000514-92020000037-400.00081523009959801297789861809561554626658112.50%11190.91%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
17San Diego623000101924-532000010137630300000617-1160.50019304900995980121937898618095622661329922522.73%11281.82%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
18San Jose603012001623-730200100812-430101100811-340.333162945009959801217178986180956226716011525624.00%26388.46%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
19Springfield421000011316-32100000166021100000710-350.625132235009959801211978986180956146403256800.00%16287.50%11311283946.18%1374323942.42%627133746.90%1860125120446311076522
20Texas43100000990220000007432110000025-360.7509152401995980121287898618095612330297414535.71%12375.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
21Toronto2010100034-11010000013-21000100021120.50036900995980127378986180956472627271616.25%60100.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
22Utica2020000038-51010000014-31010000024-200.00034700995980126178986180956622418347114.29%70100.00%11311283946.18%1374323942.42%627133746.90%1860125120446311076522
23Wilkes-Barre/Scranton2110000058-31010000017-61100000041320.5005914009959801265789861809565418144010220.00%60100.00%01311283946.18%1374323942.42%627133746.90%1860125120446311076522
Total82273803842245321-7641181600322126148-224192203520119173-54780.4762454206651399598012249278986180956295485873815023025618.54%2936278.84%31311283946.18%1374323942.42%627133746.90%1860125120446311076522
_Since Last GM Reset82273803842245321-7641181600322126148-224192203520119173-54780.4762454206651399598012249278986180956295485873815023025618.54%2936278.84%31311283946.18%1374323942.42%627133746.90%1860125120446311076522
_Vs Conference54202302522152198-46271550032289836275180220063115-52550.509152261413129959801216047898618095619005484859651833217.49%1873780.21%21311283946.18%1374323942.42%627133746.90%1860125120446311076522
_Vs Division309130241194118-241583002115447715110022004071-31290.4839416025410995980128997898618095610913282945501082018.52%1092081.65%11311283946.18%1374323942.42%627133746.90%1860125120446311076522

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8278W124542066524922954858738150213
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8227383842245321
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118160322126148
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
419223520119173
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3025618.54%2936278.84%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
7898618095699598012
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
1311283946.18%1374323942.42%627133746.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1860125120446311076522


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 - 2022-11-258Ontario2Tucson3BWSommaire du match
5 - 2022-11-2725Abbotsford1Tucson4BWSommaire du match
9 - 2022-11-2946Tucson2Bakersfield4ALSommaire du match
10 - 2022-11-2952San Diego2Tucson6BWSommaire du match
15 - 2022-12-0273San Jose4Tucson3BLXSommaire du match
17 - 2022-12-0391Tucson2San Diego4ALSommaire du match
18 - 2022-12-0394Tucson6Ontario7ALXSommaire du match
20 - 2022-12-04105Bakersfield3Tucson2BLXSommaire du match
23 - 2022-12-06122San Jose4Tucson2BLSommaire du match
25 - 2022-12-07134Tucson4Ontario7ALSommaire du match
26 - 2022-12-07137Tucson1Abbotsford5ALSommaire du match
28 - 2022-12-08150Tucson2San Jose3ALXSommaire du match
30 - 2022-12-09159Manitoba0Tucson1BWSommaire du match
33 - 2022-12-11170Tucson4San Jose3AWXSommaire du match
34 - 2022-12-11180Springfield4Tucson3BLXXSommaire du match
37 - 2022-12-13195Hershey1Tucson4BWSommaire du match
39 - 2022-12-14206Tucson6Charlotte7ALXSommaire du match
41 - 2022-12-15217Tucson2Ontario8ALSommaire du match
43 - 2022-12-16228Rochester9Tucson3BLSommaire du match
47 - 2022-12-18246Milwaukee5Tucson4BLXSommaire du match
49 - 2022-12-19264San Diego3Tucson4BWXXSommaire du match
51 - 2022-12-20271Tucson3Lehigh Valley6ALSommaire du match
53 - 2022-12-21278Tucson4San Diego9ALSommaire du match
55 - 2022-12-22293Wilkes-Barre/Scranton7Tucson1BLSommaire du match
56 - 2022-12-22303Tucson2Toronto1AWXSommaire du match
58 - 2022-12-23316Grand Rapids0Tucson5BWSommaire du match
61 - 2022-12-25328Tucson4Wilkes-Barre/Scranton1AWSommaire du match
63 - 2022-12-26342Cleveland6Tucson2BLSommaire du match
68 - 2022-12-28365Utica4Tucson1BLSommaire du match
70 - 2022-12-29379Tucson2Manitoba1AWSommaire du match
72 - 2022-12-30384Tucson3Hartford2AWSommaire du match
73 - 2022-12-31390San Diego2Tucson3BWSommaire du match
76 - 2023-01-01404Tucson2Manitoba3ALSommaire du match
78 - 2023-01-02413Manitoba3Tucson5BWSommaire du match
80 - 2023-01-03425Tucson2Bakersfield4ALSommaire du match
82 - 2023-01-04439Abbotsford4Tucson3BLXXSommaire du match
86 - 2023-01-06458Providence6Tucson2BLSommaire du match
91 - 2023-01-09481Hershey4Tucson3BLSommaire du match
94 - 2023-01-10496Tucson2Grand Rapids4ALSommaire du match
96 - 2023-01-11505Charlotte5Tucson2BLSommaire du match
98 - 2023-01-12518Tucson1Texas0AWSommaire du match
99 - 2023-01-13527Laval5Tucson4BLSommaire du match
103 - 2023-01-15548Tucson8Cleveland5AWSommaire du match
104 - 2023-01-15553Abbotsford2Tucson4BWSommaire du match
110 - 2023-01-18577Toronto3Tucson1BLSommaire du match
112 - 2023-01-19592Tucson3Bakersfield2AWXSommaire du match
114 - 2023-01-20601Lehigh Valley3Tucson2BLSommaire du match
116 - 2023-01-21608Tucson1Texas5ALSommaire du match
120 - 2023-01-23625Hartford2Tucson3BWSommaire du match
122 - 2023-01-24634Tucson0San Diego4ALSommaire du match
124 - 2023-01-25640Tucson4Rochester3AWXXSommaire du match
125 - 2023-01-26651Milwaukee1Tucson2BWSommaire du match
128 - 2023-01-27670Tucson2Springfield7ALSommaire du match
130 - 2023-01-28676Bakersfield3Tucson4BWSommaire du match
133 - 2023-01-30692Tucson0Milwaukee4ALSommaire du match
134 - 2023-01-30698Ontario10Tucson4BLSommaire du match
137 - 2023-02-01714Tucson5Springfield3AWSommaire du match
139 - 2023-02-02722Springfield2Tucson3BWSommaire du match
141 - 2023-02-03732Tucson2Utica4ALSommaire du match
143 - 2023-02-04744Tucson4Hershey2AWSommaire du match
144 - 2023-02-04748Texas3Tucson4BWSommaire du match
146 - 2023-02-05760Tucson4Abbotsford3AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2023-02-06772Ontario2Tucson4BWSommaire du match
151 - 2023-02-08784Tucson2Abbotsford3ALSommaire du match
154 - 2023-02-09798Charlotte10Tucson4BLSommaire du match
157 - 2023-02-11812Tucson0Milwaukee8ALSommaire du match
158 - 2023-02-11822Bakersfield1Tucson5BWSommaire du match
163 - 2023-02-14842San Jose4Tucson3BLSommaire du match
167 - 2023-02-16865Rockford7Tucson3BLSommaire du match
172 - 2023-02-18889Iowa1Tucson2BWXXSommaire du match
174 - 2023-02-19895Tucson2Iowa5ALSommaire du match
177 - 2023-02-21910Tucson2Rockford4ALSommaire du match
178 - 2023-02-21913Iowa2Tucson3BWSommaire du match
182 - 2023-02-23924Tucson3Laval4ALXSommaire du match
184 - 2023-02-24936Texas1Tucson3BWSommaire du match
185 - 2023-02-25940Tucson5Iowa1AWSommaire du match
188 - 2023-02-26949Tucson1Rockford3ALSommaire du match
191 - 2023-02-28961Rockford7Tucson2BLSommaire du match
192 - 2023-02-28965Tucson5Hershey6ALXSommaire du match
194 - 2023-03-01972Tucson2San Jose5ALSommaire du match
195 - 2023-03-02973Tucson2Providence6ALSommaire du match
197 - 2023-03-03984Tucson8Laval7AWXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,42231,514
Assistance PCT76.12%76.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2291 - 76.37% 133,898$5,489,800$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,969,840$ 1,509,500$ 1,509,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,624$ 1,469,886$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,149$ 0$




Tucson 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
1Kasperi Kapanen1645692148-10601361945849.59%10288217.5714324614200006849.5701.0300
2Markus Nutivaara164341001343032401823429.94%298394224.041028381880004620.00%00.6800
3Carl Hagelin1605676132469010414852410.69%16260916.3120204012400028036.4701.0100
4Adam Gaudette1245672128-83210222246412.07%22234418.9124305414200026249.4401.09010
5Lawson Crouse16254721262617239816852810.23%12259015.99612186400086844.8600.9704

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 Swayman1245450180.8943.38737924041639260440.66730
2Ryan Miller46248100.9172.7325504011613980020.75016

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
208235290381629727522412012035101481222641151700306149153-492297527824301098896530029131045101159266578192115173426519.01%3957780.51%21735329452.67%1697316753.58%716135752.76%1985133619086341080547
Total Saison régulière1645476061684490642-15282363200644252296-44821844061040238346-108156490840133026198118160244984157817221618112590817161476300460411218.54%58612478.84%62622567846.18%2748647842.42%1254267446.90%372025034089126321521045
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%000000

Tucson 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

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