Connexion

Tuscon Roadrunners
GP: 11 | W: 7 | L: 4
GF: 38 | GA: 34 | PP%: 33.33% | PK%: 68.42%
DG: VK | Morale : 57 | Moyenne d’équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Tuscon Roadrunners
7-4-0, 14pts
5
FINAL
1 Utica Comets
15-11-0, 30pts
Team Stats
OTL1SéquenceL1
3-3-0Fiche domicile7-5-0
4-1-0Fiche domicile8-6-0
6-3-1Derniers 10 matchs6-4-0
3.45Buts par match 2.96
3.09Buts contre par match 2.85
33.33%Pourcentage en avantage numérique27.50%
68.42%Pourcentage en désavantage numérique80.00%
Utica Comets
15-11-0, 30pts
4
FINAL
3 Tuscon Roadrunners
7-4-0, 14pts
Team Stats
L1SéquenceOTL1
7-5-0Fiche domicile3-3-0
8-6-0Fiche domicile4-1-0
6-4-0Derniers 10 matchs6-3-1
2.96Buts par match 3.45
2.85Buts contre par match 3.09
27.50%Pourcentage en avantage numérique33.33%
80.00%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Buts
Tyler Ennis
8
Nathan WalkerPasses
Nathan Walker
8
Points
Tyler Ennis
15
Plus/Moins
Madison Bowey
9
Connor IngramVictoires
Connor Ingram
7
Connor IngramPourcentage d’arrêts
Connor Ingram
0.914

Statistiques d’équipe
Buts pour
38
3.45 GFG
Tirs pour
427
38.82 Avg
Pourcentage en avantage numérique
33.3%
5 GF
Début de zone offensive
38.8%
Buts contre
34
3.09 GAA
Tirs contre
385
35.00 Avg
Pourcentage en désavantage numérique
68.4%%
6 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralVK
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 65
Espoirs34


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
1Nathan Walker0X100.007661797573808170726764717074640927103021,000,000$
2Tyler Ennis0XXX100.00653587884783797155636258558072083690343775,000$
3Loui Eriksson0XX100.00503593856185996255585359559071084670383775,000$
4Michael Raffl0XX100.00783589876689926255505855558373087670353775,000$
5Matthew Highmore0XXX100.00614372726671716843666264676053084650283775,000$
6Cooper Marody0XXX100.00614666716266656443645966655450090630272775,000$
7Gage Quinney0X100.00584469696266666543636159655550086620282775,000$
8Hugh McGing (R)0X100.00544562715566656443625858645250082610251883,750$
9Oskar Steen0X100.00594467706165646458615759645350087610262800,000$
10Curtis Douglas (R)0X100.00697052577863636256565556585150084590241775,000$
11Josiah Slavin0X100.00584570646464636141575555605250079580251842,500$
12Nicolas Petan0XXX100.005935757361656848535153475460480855602941,000,000$
13Marcus Kruger0X100.00603575746370685047495147546048085560342775,000$
14Joakim Nordstrom0XXX100.00603575706565705254484651536048085560321775,000$
15Sami Niku0X100.005035918255677076406550794063720857102711,000,000$
16Kale Clague0X100.00614769747884726940656165686454082680262775,000$
17Madison Bowey0X100.00624865666567656140565564615750085620293775,000$
18Eric Roy0X100.00607068625856576425575162504848086590291775,000$
19Brett Bellemore0X100.00613575726261644553504754407358051590361775,000$
20Victor Berglund (R)0X100.00544364715761585540535260595150087590241818,333$
21William Wrenn0X100.00513575686563635051544956407358084590331775,000$
22Stuart Percy0X100.00613575725753625550535151407358087590311775,000$
23Jacob Cederholm (R)0X100.00533575685756625351525456407358087590261775,000$
Rayé
MOYENNE D’ÉQUIPE100.0060437372636869604857555956635608462
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
1Connor Ingram (R)0100.00807577778079777879797657510867502761,950,000$
2Kent Simpson0100.0075757578837174726969467372089740321775,000$
Rayé
MOYENNE D’ÉQUIPE100.007875767882757675747461656208875
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Tyler EnnisTuscon Roadrunners (ARZ)C/LW/RW118715055101672254611.11%623121.05123311000003056.25%16265001.3000010211
2Nathan WalkerTuscon Roadrunners (ARZ)LW1168142235332058133910.34%924522.301234120000140054.17%24187011.1400001112
3Loui ErikssonTuscon Roadrunners (ARZ)LW/RW11551025591148162210.42%219317.63101480001101160.00%10167001.0300010002
4Nicolas PetanTuscon Roadrunners (ARZ)C/LW/RW1135816014211431021.43%422220.2300001000000046.96%31312000.7200000100
5Matthew HighmoreTuscon Roadrunners (ARZ)C/LW/RW1135802019102972710.34%217716.100220130000150040.58%69109000.9000000100
6Cooper MarodyTuscon Roadrunners (ARZ)C/LW/RW113471171519182651311.54%419017.3601119000090141.43%14075000.7300102010
7Kale ClagueTuscon Roadrunners (ARZ)D11077-71210231917970%2126624.22011014000115000%049000.5300011000
8Eric RoyTuscon Roadrunners (ARZ)D111568222021111039.09%920118.311011700009000%024000.6000013010
9Hugh McGingTuscon Roadrunners (ARZ)LW1124627525122041810.00%218016.4001129000000030.77%1332000.6700010000
10Madison BoweyTuscon Roadrunners (ARZ)D11055940111119870%1420618.810001800009000%025000.4800000000
11Michael RafflTuscon Roadrunners (ARZ)LW/RW112352551651971910.53%413011.8800000000002066.67%381000.7700001000
12Gage QuinneyTuscon Roadrunners (ARZ)C11134240191021784.76%613712.5300001000010052.94%5123000.5800000001
13Sami NikuTuscon Roadrunners (ARZ)D11134-72012232610123.85%1927024.63101314000015000%0917000.3000000010
14Oskar SteenTuscon Roadrunners (ARZ)C112131008521589.52%31029.3600000000000028.57%3570000.5800000001
15Curtis DouglasTuscon Roadrunners (ARZ)C1110111210121311599.09%11009.130000000000100%112000.2000011000
16Victor BerglundTuscon Roadrunners (ARZ)D11011000473110%713412.210000000000000%008000.1500000000
17William WrennTuscon Roadrunners (ARZ)D11011355032020%2807.300000000003000%001000.2500010000
18Stuart PercyTuscon Roadrunners (ARZ)D11011400420020%1706.410000000000000%002000.2800000000
19Marcus KrugerTuscon Roadrunners (ARZ)C11000100334240%11039.3600000000000050.00%22300000000000
20Brett BellemoreTuscon Roadrunners (ARZ)D11000020666500%413512.280000000000000%00500000000000
21Joakim NordstromTuscon Roadrunners (ARZ)C/LW/RW11000000000000%000.030000000000000%00000000000000
22Jacob CederholmTuscon Roadrunners (ARZ)D11000000000000%000.040000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne242386810625133852492264271322578.90%121338313.9859141911500021057245.05%67711897010.6300179557
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
1Connor IngramTuscon Roadrunners (ARZ)117310.9142.9168100333841951100110111
Statistiques d’équipe totales ou en moyenne117310.9142.916810033384195110110111


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 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 Plafond 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
Brett BellemoreTuscon Roadrunners (ARZ)D361988-06-25No225 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Connor IngramTuscon Roadrunners (ARZ)G271997-03-31Yes196 Lbs6 ft2NoNoN/ANoNo62024-01-16FalseFalsePro & Farm1,950,000$0$0$No1,950,000$1,950,000$1,950,000$1,950,000$1,950,000$----1,950,000$1,950,000$1,950,000$1,950,000$1,950,000$----NoNoNoNoNo----Lien NHL
Cooper MarodyTuscon Roadrunners (ARZ)C/LW/RW271996-12-20No183 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------762,500$--------No--------
Curtis DouglasTuscon Roadrunners (ARZ)C242000-03-06Yes245 Lbs6 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Eric RoyTuscon Roadrunners (ARZ)D291994-10-24No181 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Gage QuinneyTuscon Roadrunners (ARZ)C281995-07-29No194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------
Hugh McGingTuscon Roadrunners (ARZ)LW251998-07-11Yes168 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm883,750$0$0$No---------------------------
Jacob CederholmTuscon Roadrunners (ARZ)D261998-01-30Yes191 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Joakim NordstromTuscon Roadrunners (ARZ)C/LW/RW321992-02-25No194 Lbs6 ft1NoNoAssign ManuallyNoNo12024-02-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Josiah SlavinTuscon Roadrunners (ARZ)C251998-12-31No190 Lbs6 ft3NoNoTrade2024-05-16NoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------
Kale ClagueTuscon Roadrunners (ARZ)D261998-06-05No190 Lbs6 ft0NoNoN/ANoNo22024-01-16FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Kent SimpsonTuscon Roadrunners (ARZ)G321992-03-26No198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Loui ErikssonTuscon Roadrunners (ARZ)LW/RW381985-07-17No179 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Madison BoweyTuscon Roadrunners (ARZ)D291995-04-22No203 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Marcus KrugerTuscon Roadrunners (ARZ)C341990-05-27No186 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Matthew HighmoreTuscon Roadrunners (ARZ)C/LW/RW281996-02-27No187 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Michael RafflTuscon Roadrunners (ARZ)LW/RW351988-12-01No205 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Nathan WalkerTuscon Roadrunners (ARZ)LW301994-02-07No187 Lbs5 ft9NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
Nicolas PetanTuscon Roadrunners (ARZ)C/LW/RW291995-03-22No172 Lbs4 ft11NoNoFree AgentNoNo42024-02-04FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien
Oskar SteenTuscon Roadrunners (ARZ)C261998-03-09No187 Lbs5 ft9NoNoTrade2024-01-18NoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Sami NikuTuscon Roadrunners (ARZ)D271996-10-10No176 Lbs6 ft1NoNoFree AgentNoNo12024-01-28FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Stuart PercyTuscon Roadrunners (ARZ)D311993-05-18No187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Tyler EnnisTuscon Roadrunners (ARZ)C/LW/RW341989-10-06No160 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Victor BerglundTuscon Roadrunners (ARZ)D241999-08-02Yes165 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm818,333$0$0$No---------------------------
William WrennTuscon Roadrunners (ARZ)D331991-03-16No200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2529.40190 Lbs6 ft01.96858,783$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerNicolas PetanTyler Ennis40122
2Hugh McGingCooper MarodyLoui Eriksson30122
3Michael RafflGage QuinneyMatthew Highmore20122
4Curtis DouglasOskar SteenMarcus Kruger10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuKale Clague40122
2Madison BoweyEric Roy30122
3Brett BellemoreVictor Berglund20122
4William WrennStuart Percy10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerMatthew HighmoreTyler Ennis60122
2Hugh McGingCooper MarodyLoui Eriksson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuKale Clague60122
2Madison BoweyEric Roy40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew HighmoreNathan Walker60122
2Cooper MarodyLoui Eriksson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuKale Clague60122
2Madison BoweyEric Roy40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Highmore60122Sami NikuKale Clague60122
2Cooper Marody40122Madison BoweyEric Roy40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew HighmoreNathan Walker60122
2Cooper MarodyLoui Eriksson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuKale Clague60122
2Madison BoweyEric Roy40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerMatthew HighmoreTyler EnnisSami NikuKale Clague
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerMatthew HighmoreTyler EnnisSami NikuKale Clague
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Highmore, Cooper Marody, Gage QuinneyMatthew Highmore, Cooper MarodyMatthew Highmore
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Wrenn, Stuart Percy, Jacob CederholmWilliam WrennWilliam Wrenn, Stuart Percy
Tirs de pénalité
Nathan Walker, Tyler Ennis, Loui Eriksson, Michael Raffl, Matthew Highmore
Gardien
#1 : Connor Ingram, #2 : Kent Simpson
Lignes d’attaque personnalisées en prolongation
Nathan Walker, Tyler Ennis, Loui Eriksson, Michael Raffl, Matthew Highmore, Cooper Marody, Cooper Marody, Gage Quinney, Hugh McGing, Oskar Steen, Curtis Douglas
Lignes de défense personnalisées en prolongation
Sami Niku, Kale Clague, Madison Bowey, Eric Roy, Brett Bellemore


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
1Hershey Bears440000001697220000008532200000084481.00016294500719111173112162143101584219964250.00%7185.71%012626347.91%9723441.45%8218045.56%243143234100204101
2Utica Comets734000002225-3413000001217-532100000108260.42922396110719111254112162143102277911415311327.27%12558.33%012626347.91%9723441.45%8218045.56%243143234100204101
Total11740000038344633000002022-25410000018126140.6363868106107191114271121621431038512113324915533.33%19668.42%012626347.91%9723441.45%8218045.56%243143234100204101
_Since Last GM Reset11740000038344633000002022-25410000018126140.6363868106107191114271121621431038512113324915533.33%19668.42%012626347.91%9723441.45%8218045.56%243143234100204101
_Vs Conference11740000038344633000002022-25410000018126140.6363868106107191114271121621431038512113324915533.33%19668.42%012626347.91%9723441.45%8218045.56%243143234100204101

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1114OTL1386810642738512113324910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
117400003834
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002022
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
54100001812
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15533.33%19668.42%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
11216214310719111
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
12626347.91%9723441.45%8218045.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
243143234100204101


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
12Hershey Bears3Tuscon Roadrunners4WSommaire du match
210Hershey Bears2Tuscon Roadrunners4WSommaire du match
318Tuscon Roadrunners3Hershey Bears2WXSommaire du match
426Tuscon Roadrunners5Hershey Bears2WSommaire du match
858Utica Comets4Tuscon Roadrunners2LSommaire du match
962Utica Comets3Tuscon Roadrunners5WSommaire du match
1066Tuscon Roadrunners4Utica Comets2WSommaire du match
1170Tuscon Roadrunners1Utica Comets5LSommaire du match
1274Utica Comets6Tuscon Roadrunners2LSommaire du match
1378Tuscon Roadrunners5Utica Comets1WSommaire du match
1482Utica Comets4Tuscon Roadrunners3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,146,958$ 2,123,208$ 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$




Tuscon Roadrunners 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

Tuscon Roadrunners 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

Tuscon Roadrunners 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

Tuscon Roadrunners 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

Tuscon Roadrunners 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