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Cincinnati Cyclones
GP: 79 | W: 32 | L: 36 | OTL: 11 | P: 75
GF: 256 | GA: 282 | PP%: 20.11% | PK%: 77.68%
DG: Trent Minnick | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #1284 vs Rhode Island Red Army

Centre de jeu
Cincinnati Cyclones
32-36-11, 75pts
3
6 Charlestown Chiefs
43-26-11, 97pts
Team Stats
W1SéquenceSOL1
14-19-7Fiche domicile24-11-5
18-17-4Fiche domicile19-15-6
4-5-1Derniers 10 matchs4-4-2
3.24Buts par match 4.09
3.57Buts contre par match 3.89
20.11%Pourcentage en avantage numérique20.40%
77.68%Pourcentage en désavantage numérique77.94%
Iowa Wild
43-25-11, 97pts
3
6 Cincinnati Cyclones
32-36-11, 75pts
Team Stats
L1SéquenceW1
24-14-2Fiche domicile14-19-7
19-11-9Fiche domicile18-17-4
6-3-1Derniers 10 matchs4-5-1
3.72Buts par match 3.24
3.42Buts contre par match 3.57
18.60%Pourcentage en avantage numérique20.11%
77.78%Pourcentage en désavantage numérique77.68%
Rhode Island Red Army
34-37-8, 76pts
Jour 181
Cincinnati Cyclones
32-36-11, 75pts
Statistiques d’équipe
L1SéquenceW1
17-20-3Fiche domicile14-19-7
17-17-5Fiche visiteur18-17-4
4-6-010 derniers matchs4-5-1
4.09Buts par match 3.24
4.47Buts contre par match 3.24
19.05%Pourcentage en avantage numérique20.11%
81.25%Pourcentage en désavantage numérique77.68%
Cincinnati Cyclones
32-36-11, 75pts
Jour 182
Tucson Roadrunners
40-35-5, 85pts
Statistiques d’équipe
W1SéquenceW2
14-19-7Fiche domicile24-15-1
18-17-4Fiche visiteur16-20-4
4-5-110 derniers matchs5-5-0
3.24Buts par match 3.89
3.57Buts contre par match 3.89
20.11%Pourcentage en avantage numérique20.86%
77.68%Pourcentage en désavantage numérique79.57%
Cincinnati Cyclones
32-36-11, 75pts
Jour 183
Syracuse Crunch
40-37-3, 83pts
Statistiques d’équipe
W1SéquenceW1
14-19-7Fiche domicile20-18-2
18-17-4Fiche visiteur20-19-1
4-5-110 derniers matchs5-5-0
3.24Buts par match 4.19
3.57Buts contre par match 4.19
20.11%Pourcentage en avantage numérique15.21%
77.68%Pourcentage en désavantage numérique79.01%
Meneurs d'équipe
Trey Fix-WolanskyButs
Trey Fix-Wolansky
28
Trey Fix-WolanskyPasses
Trey Fix-Wolansky
44
Trey Fix-WolanskyPoints
Trey Fix-Wolansky
72
Trey Fix-WolanskyPlus/Moins
Trey Fix-Wolansky
11
Victoires
Cameron Whitehead
9
Pourcentage d’arrêts
Cameron Whitehead
0.902

Statistiques d’équipe
Buts pour
256
3.24 GFG
Tirs pour
2410
30.51 Avg
Pourcentage en avantage numérique
20.1%
71 GF
Début de zone offensive
39.6%
Buts contre
282
3.57 GAA
Tirs contre
2626
33.24 Avg
Pourcentage en désavantage numérique
77.7%%
77 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralTrent Minnick
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 60
Espoirs20


Historique d'équipe

Saison actuelle32-36-11 (75PTS)
Historique112-107-28 (0.453%)
Apparitions en séries éliminatoires 0
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
1Alexandre TexierX100.00724288747658716454666966656158050670251990,000$
2Beck MalenstynX100.00806688748153906064636378565958050670272950,000$
3Klim KostinXX100.00836980748953746155666064566058050660262950,000$
4Trey Fix-WolanskyX100.00576065676270696957676766696257050660262950,000$
5Tye FelhaberX100.00596065596971706658646570576459050650261900,000$
6Graeme ClarkeX100.00576069676570686457636365595955050640242900,000$
7Jonathan GrudenX100.00575668606469686072595967566156050620251825,000$
8Matthew Maggio (R)X100.00575769646669676057605962595754050610222775,000$
9Michal TeplyX100.00565656565656565656565656565454050560241750,000$
10Filip ZadinaX100.00565656565656565656565656565454050560251750,000$
11Austin CzarnikX100.00565656565656565656565656565454050560321950,000$
12Dennis GilbertX100.00688678748253675842685679565758050670282950,000$
13Jake BeanX100.00614293747364835742636078566258050670271960,000$
14Jake ChristiansenX100.00626693687458765742645980565758050660252950,000$
15Connor MacKeyX100.00595965598072706243635968576861050640281950,000$
16Louie BelpedioX100.00585764626770696242635869566860050640291950,000$
17Evan Nause (R)X100.00565656565656565656565656565454050560223925,000$
Rayé
1Aleksanteri Kaskimaki (R)X95.64566071616970676357636166565452050630213875,000$
2Reece NewkirkX100.00575771576661605757585663565955050590241750,000$
3Kristian VesalainenX100.00565656565656565656565656565454050560261750,000$
MOYENNE D’ÉQUIPE99.7861597064686267605462606658595605062
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
1Colten Ellis100.0076797960736972816873706557050730242950,000$
2Cameron Whitehead (R)100.0058595967655868596165745954050620222825,000$
Rayé
1Jacob Ingham (R)100.0060606073665866596165756557050620251725,000$
2Erik Kallgren100.0056565656565656565656565454050560281950,000$
MOYENNE D’ÉQUIPE100.006364646465606664626569615605063
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
1Trey Fix-WolanskyCincinnati Cyclones (CBJ)RW7928447211240861112467817111.38%13148218.7781422632800003744152.08%24000000.9723000464
2Jake BeanCincinnati Cyclones (CBJ)D79233962132098941655011413.94%142167221.1714183210227701122661166.67%600000.7400000475
3Klim KostinCincinnati Cyclones (CBJ)LW/RW79223860-16112102001181894814011.64%14142017.97111425402560112972148.87%13300010.8515200631
4Tye FelhaberCincinnati Cyclones (CBJ)LW77223658-24751191192095914710.53%32149519.42347241370003462049.08%32600000.7800001663
5Beck MalenstynCincinnati Cyclones (CBJ)LW772234566595138135254801778.66%19155220.16716235926210191652460.99%18200100.723111002117
6Graeme ClarkeCincinnati Cyclones (CBJ)RW71203454-138059911704112311.76%9124117.496101622166000091256.52%20700000.8711000545
7Dennis GilbertCincinnati Cyclones (CBJ)D79143145-20741020685106397113.21%103166721.119101969249000121430100.00%100000.5400011516
8Alexandre TexierCincinnati Cyclones (CBJ)C52172744-10160621421494012611.41%8105220.25410142916210121094152.51%127600000.8425000452
9Connor MacKeyCincinnati Cyclones (CBJ)D797303749010142857628549.21%96149618.940116380001910147.31%9300000.4916101024
10Isac LundestromColumbus Blue JacketsC45162036212052128145489411.03%1793120.693692215901171701063.54%130000000.7725000313
11Justin HryckowianColumbus Blue JacketsLW2916183441404669138269011.59%565422.563912349700021146058.31%29500001.0414000710
12Aleksanteri KaskimakiCincinnati Cyclones (CBJ)C62171431-1150107098117296614.53%29105417.00101311000041254.20%76200000.5900011221
13Louie BelpedioCincinnati Cyclones (CBJ)D7962430-47001416658224810.34%80128316.251238290000202088.89%900000.4700000122
14Matthew MaggioCincinnati Cyclones (CBJ)C79919284360768812135807.44%8127616.16011021000020153.99%65200000.4400000025
15Jonathan GrudenCincinnati Cyclones (CBJ)C79111425-143204997133391108.27%890611.4700000000011156.76%68000000.5500000323
16Jake ChristiansenCincinnati Cyclones (CBJ)D4321719-624041557122422.82%5784319.61189361190002134000%000000.4500000001
17Evan NauseCincinnati Cyclones (CBJ)D30268-536051111821211.11%2434211.4100003000090050.00%1600000.4700000102
18Ryan SheaColumbus Blue JacketsD19145-612020322713133.70%2040921.580111562000052000%000000.2400000001
19Reece NewkirkCincinnati Cyclones (CBJ)C4011100001160%082.0700011000000040.00%500002.4100000000
20Michal TeplyCincinnati Cyclones (CBJ)RW4000000200210%0143.510000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1145255450705-7474850165816242393702168510.66%6842080418.17711241955332336235341584301556.02%618300110.681340424535555
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
1Cameron WhiteheadCincinnati Cyclones (CBJ)179530.9023.33104440585920100.600151738310
2Colten EllisCincinnati Cyclones (CBJ)2171130.8973.16127122676490010.6673210220
Statistiques d’équipe totales ou en moyenne38161660.8993.242316621251241011183838530


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aleksanteri KaskimakiCincinnati Cyclones (CBJ)C212004-02-06FINYes192 Lbs6 ft0NoNoProspectNoNo32025-06-23FalseFalsePro & Farm875,000$41,888$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien
Alexandre TexierCincinnati Cyclones (CBJ)C251999-09-13FRANo200 Lbs6 ft0NoNoTrade2025-09-20NoNo12024-08-12FalseFalsePro & Farm990,000$47,394$0$0$No---------------------------Lien / Lien NHL
Austin CzarnikCincinnati Cyclones (CBJ)C321992-12-12USANo169 Lbs5 ft8NoNoFree AgentNoNo12024-09-10FalseFalsePro & Farm950,000$45,479$0$0$No---------------------------Lien
Beck MalenstynCincinnati Cyclones (CBJ)LW271998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-07FalseFalsePro & Farm950,000$45,479$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Cameron WhiteheadCincinnati Cyclones (CBJ)G222003-06-13CANYes185 Lbs6 ft3NoNoProspectNoNo22025-06-23FalseFalsePro & Farm825,000$39,495$0$0$No825,000$--------825,000$--------No--------Lien
Colten EllisCincinnati Cyclones (CBJ)G242000-10-05CANNo185 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-09FalseFalsePro & Farm950,000$45,479$0$0$No950,000$--------950,000$--------No--------Lien
Connor MacKeyCincinnati Cyclones (CBJ)D281996-09-12USANo204 Lbs6 ft3NoNoFree AgentNoNo12024-09-10FalseFalsePro & Farm950,000$45,479$0$0$No---------------------------Lien
Dennis GilbertCincinnati Cyclones (CBJ)D281996-10-30USANo215 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-14FalseFalsePro & Farm950,000$45,479$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Erik KallgrenCincinnati Cyclones (CBJ)G281996-10-14SWENo194 Lbs6 ft3NoNoFree AgentNoNo12024-09-10FalseFalsePro & Farm950,000$45,479$0$0$No---------------------------Lien
Evan NauseCincinnati Cyclones (CBJ)D222003-01-20CANYes185 Lbs6 ft2NoNoDraftNoNo32025-07-02FalseFalsePro & Farm925,000$44,282$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Filip ZadinaCincinnati Cyclones (CBJ)RW251999-11-27CZENo189 Lbs6 ft0NoNoN/ANoNo12025-08-13FalseFalsePro & Farm750,000$35,904$0$0$No---------------------------Lien / Lien NHL
Graeme ClarkeCincinnati Cyclones (CBJ)RW242001-04-24USANo174 Lbs6 ft0NoNoN/ANoNo22025-08-13FalseFalsePro & Farm900,000$43,085$0$0$No900,000$--------900,000$--------No--------Lien
Jacob InghamCincinnati Cyclones (CBJ)G252000-06-10CANYes205 Lbs6 ft5NoNoProspectNoNo12025-06-23FalseFalsePro & Farm725,000$34,707$0$0$No---------------------------Lien
Jake BeanCincinnati Cyclones (CBJ)D271998-06-09CANNo191 Lbs6 ft0NoNoN/ANoNo12024-08-11FalseFalsePro & Farm960,000$45,957$0$0$No---------------------------Lien / Lien NHL
Jake ChristiansenCincinnati Cyclones (CBJ)D251999-09-12CANNo195 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-09FalseFalsePro & Farm950,000$45,479$0$0$No950,000$--------950,000$--------No--------Lien
Jonathan GrudenCincinnati Cyclones (CBJ)C252000-05-04USANo172 Lbs6 ft0NoNoN/ANoNo12025-08-13FalseFalsePro & Farm825,000$39,495$0$0$No---------------------------Lien / Lien NHL
Klim KostinCincinnati Cyclones (CBJ)LW/RW261999-05-05RUSNo231 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-09FalseFalsePro & Farm950,000$45,479$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Kristian VesalainenCincinnati Cyclones (CBJ)LW261999-06-01FINNo207 Lbs6 ft3NoNoN/ANoNo12025-08-13FalseFalsePro & Farm750,000$35,904$0$0$No---------------------------Lien
Louie BelpedioCincinnati Cyclones (CBJ)D291996-05-14USANo196 Lbs5 ft11NoNoFree AgentNoNo12024-09-10FalseFalsePro & Farm950,000$45,479$0$0$No---------------------------Lien / Lien NHL
Matthew MaggioCincinnati Cyclones (CBJ)C222002-11-25CANYes187 Lbs5 ft11NoNoProspectNoNo22025-06-23FalseFalsePro & Farm775,000$37,101$0$0$No775,000$--------775,000$--------No--------Lien
Michal TeplyCincinnati Cyclones (CBJ)RW242001-05-27CZENo187 Lbs6 ft3NoNoN/ANoNo12025-08-13FalseFalsePro & Farm750,000$35,904$0$0$No---------------------------Lien
Reece NewkirkCincinnati Cyclones (CBJ)C242001-02-20CANNo179 Lbs6 ft0NoNoN/ANoNo12025-08-13FalseFalsePro & Farm750,000$35,904$0$0$No---------------------------Lien
Trey Fix-WolanskyCincinnati Cyclones (CBJ)RW261999-05-26CANNo194 Lbs5 ft7NoNoAssign ManuallyNoNo22025-09-07FalseFalsePro & Farm950,000$45,479$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Tye FelhaberCincinnati Cyclones (CBJ)LW261998-08-05CANNo184 Lbs5 ft10NoNoN/ANoNo12025-08-13FalseFalsePro & Farm900,000$43,085$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.46193 Lbs6 ft11.54883,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Klim Kostin35122
2Tye FelhaberTrey Fix-Wolansky30122
3Jonathan Gruden25122
4Jonathan Gruden10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Bean35122
2Dennis GilbertJake Christiansen30122
3Louie BelpedioConnor MacKey25122
4Evan Nause10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Klim Kostin60122
2Tye FelhaberTrey Fix-Wolansky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Bean60122
2Dennis GilbertJake Christiansen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Klim Kostin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Bean60122
2Dennis GilbertJake Christiansen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jake Bean60122
240122Dennis GilbertJake Christiansen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Klim Kostin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Bean60122
2Dennis GilbertJake Christiansen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Klim KostinJake Bean
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Klim KostinJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Maggio, , Matthew Maggio,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Louie Belpedio, Connor MacKey, Evan NauseLouie BelpedioConnor MacKey, Evan Nause
Tirs de pénalité
, , , Klim Kostin, Trey Fix-Wolansky
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
1Bobcaygeon Bullets42200000914-52110000038-52110000066040.5009162501928671141067498258036910339499819315.79%16568.75%01477267755.17%1491276253.98%733132055.53%208314641733559996523
2Bridgeport Islanders22000000862110000004311100000043141.0008162400928671146374982580369711912371417.14%6266.67%01477267755.17%1491276253.98%733132055.53%208314641733559996523
3Cairo Fighting Ice Camels21100000710-3110000004221010000038-520.500712190092867114537498258036950111441700.00%7185.71%01477267755.17%1491276253.98%733132055.53%208314641733559996523
4Charlestown Chiefs302000011015-51010000056-12010000159-410.1671020300092867114116749825803691271730781218.33%14285.71%01477267755.17%1491276253.98%733132055.53%208314641733559996523
5Charlotte Checkers30201000411-71010000001-120101000410-620.333471100928671148774982580369112253410012216.67%16287.50%01477267755.17%1491276253.98%733132055.53%208314641733559996523
6Colorado Eagles40400000817-92020000039-62020000058-300.00081422109286711411374982580369912126781417.14%13561.54%01477267755.17%1491276253.98%733132055.53%208314641733559996523
7Flint Michigan Tropics50400010818-1030300000211-92010001067-120.2008142200928671141267498258036915446429523313.04%20480.00%01477267755.17%1491276253.98%733132055.53%208314641733559996523
8Grand Rapids Griffins211000008801010000035-21100000053220.50081523009286711461749825803694611143711218.18%7185.71%01477267755.17%1491276253.98%733132055.53%208314641733559996523
9Hamilton Bulldogs2020000058-31010000024-21010000034-100.000591400928671146874982580369821717488112.50%6183.33%01477267755.17%1491276253.98%733132055.53%208314641733559996523
10Hartford Wolf Pack210000101165110000006241000001054141.000111829009286711474749825803696721204412433.33%10370.00%01477267755.17%1491276253.98%733132055.53%208314641733559996523
11Henderson Silver Knights42200000101002110000056-12110000054140.50010182801928671141267498258036913644476817529.41%20480.00%01477267755.17%1491276253.98%733132055.53%208314641733559996523
12Iowa Wild42200000111102200000011652020000005-540.5001121320092867114927498258036912539528115426.67%25388.00%01477267755.17%1491276253.98%733132055.53%208314641733559996523
13Kimberley Dynamiters2110000010911010000035-21100000074320.50010203000928671147774982580369732524487114.29%13192.31%01477267755.17%1491276253.98%733132055.53%208314641733559996523
14Kitchener Rangers220000001174110000007431100000043141.00011213200928671147474982580369741684512541.67%4250.00%01477267755.17%1491276253.98%733132055.53%208314641733559996523
15Lehigh Valley Phantoms200001105501000010023-11000001032130.7505611009286711456749825803695816144913215.38%7185.71%01477267755.17%1491276253.98%733132055.53%208314641733559996523
16Manitoba Moose4210010013130211000008802100010055050.62513213400928671141167498258036917062468621419.05%23482.61%11477267755.17%1491276253.98%733132055.53%208314641733559996523
17Newfoundland Regiment3120000089-12020000047-31100000042220.33381624009286711486749825803696124296711218.18%9366.67%01477267755.17%1491276253.98%733132055.53%208314641733559996523
18Ontario Reign20100010770100000105411010000023-120.50071118009286711449749825803696019263311218.18%11372.73%01477267755.17%1491276253.98%733132055.53%208314641733559996523
19Owen Sound Platers20100100912-31000010056-11010000046-210.2509172600928671146974982580369812122491000.00%11281.82%01477267755.17%1491276253.98%733132055.53%208314641733559996523
20Palm Springs Navigators2100010012111110000007521000010056-130.75012233500928671146474982580369872028396233.33%14285.71%01477267755.17%1491276253.98%733132055.53%208314641733559996523
21Prince George Cougars2020000068-21010000034-11010000034-100.00061117009286711466749825803696718185310330.00%9277.78%01477267755.17%1491276253.98%733132055.53%208314641733559996523
22Rhode Island Red Army11000000312000000000001100000031221.000358009286711429749825803693498227228.57%4175.00%01477267755.17%1491276253.98%733132055.53%208314641733559996523
23San Diego Gulls20000011101001000000145-11000001065130.75010172700928671146974982580369871318517228.57%9366.67%01477267755.17%1491276253.98%733132055.53%208314641733559996523
24Saskatchewan Snatchsniffers41200001161512010000179-22110000096330.375162945009286711415474982580369175502910115426.67%11372.73%01477267755.17%1491276253.98%733132055.53%208314641733559996523
25Stouffville Clippers200010018801000000145-11000100043130.7508142200928671146374982580369793220468112.50%10370.00%01477267755.17%1491276253.98%733132055.53%208314641733559996523
26Syracuse Crunch1000000156-11000000156-10000000000010.50059140092867114317498258036946192621400.00%7185.71%11477267755.17%1491276253.98%733132055.53%208314641733559996523
27Texas Stars42200000880211000004402110000044040.50081422009286711499749825803699829226516318.75%11372.73%01477267755.17%1491276253.98%733132055.53%208314641733559996523
28Tucson Roadrunners1010000034-11010000034-10000000000000.00036900928671143774982580369211110266116.67%5340.00%01477267755.17%1491276253.98%733132055.53%208314641733559996523
29Vancouver Millionaires220000001138110000006241100000051441.000112031009286711470749825803694611163913753.85%9366.67%01477267755.17%1491276253.98%733132055.53%208314641733559996523
30Victoria Grizzlies21100000862110000007341010000013-220.5008162400928671146974982580369832741566116.67%7271.43%01477267755.17%1491276253.98%733132055.53%208314641733559996523
31Wilkes Scranton Penguins2000010146-21000000112-11000010034-120.500471100928671144774982580369622222476233.33%11281.82%01477267755.17%1491276253.98%733132055.53%208314641733559996523
Total79253602556256282-2640131900215133149-1639121702341123133-10750.4752564637191292867114241074982580369262675478417483537120.11%3457777.68%21477267755.17%1491276253.98%733132055.53%208314641733559996523
_Since Last GM Reset79253602556256282-2640131900215133149-1639121702341123133-10750.4752564637191292867114241074982580369262675478417483537120.11%3457777.68%21477267755.17%1491276253.98%733132055.53%208314641733559996523
_Vs Conference44142300232141150-923812000127885-721611002206365-2380.432141255396119286711413277498258036914734354459191874322.99%2004577.50%11477267755.17%1491276253.98%733132055.53%208314641733559996523
_Vs Division24917001117077-71359000014447-31148001102630-4220.458701271971092867114680749825803697192342134941032120.39%1002674.00%11477267755.17%1491276253.98%733132055.53%208314641733559996523

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7975W125646371924102626754784174812
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7925362556256282
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4013190215133149
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3912172341123133
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3537120.11%3457777.68%2
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
7498258036992867114
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
1477267755.17%1491276253.98%733132055.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
208314641733559996523


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
314Cincinnati Cyclones3Colorado Eagles5LSommaire du match
528Flint Michigan Tropics2Cincinnati Cyclones1LSommaire du match
744Colorado Eagles4Cincinnati Cyclones2LSommaire du match
966Iowa Wild3Cincinnati Cyclones5WSommaire du match
1180Cincinnati Cyclones0Iowa Wild2LSommaire du match
1288Cincinnati Cyclones1Texas Stars3LSommaire du match
15104Cincinnati Cyclones4Bobcaygeon Bullets6LSommaire du match
17119Bobcaygeon Bullets2Cincinnati Cyclones3WSommaire du match
19136Newfoundland Regiment4Cincinnati Cyclones2LSommaire du match
20146Cincinnati Cyclones3Saskatchewan Snatchsniffers5LSommaire du match
23172Cincinnati Cyclones3Manitoba Moose2WSommaire du match
24180Cincinnati Cyclones3Henderson Silver Knights0WSommaire du match
26190Texas Stars2Cincinnati Cyclones1LSommaire du match
29211Manitoba Moose4Cincinnati Cyclones5WSommaire du match
32236Cincinnati Cyclones4Charlotte Checkers3WXSommaire du match
33245Saskatchewan Snatchsniffers6Cincinnati Cyclones5LXXSommaire du match
37269Grand Rapids Griffins5Cincinnati Cyclones3LSommaire du match
39282Cincinnati Cyclones2Ontario Reign3LSommaire du match
41299Bridgeport Islanders3Cincinnati Cyclones4WSommaire du match
45326Syracuse Crunch6Cincinnati Cyclones5LXXSommaire du match
47343Cincinnati Cyclones3Texas Stars1WSommaire du match
49357Manitoba Moose4Cincinnati Cyclones3LSommaire du match
51366Cincinnati Cyclones4Owen Sound Platers6LSommaire du match
54389Victoria Grizzlies3Cincinnati Cyclones7WSommaire du match
58417Texas Stars2Cincinnati Cyclones3WSommaire du match
60436Cincinnati Cyclones3Cairo Fighting Ice Camels8LSommaire du match
62449Hartford Wolf Pack2Cincinnati Cyclones6WSommaire du match
64464Cincinnati Cyclones5Vancouver Millionaires1WSommaire du match
66477Cincinnati Cyclones3Hamilton Bulldogs4LSommaire du match
68489Vancouver Millionaires2Cincinnati Cyclones6WSommaire du match
70504Cincinnati Cyclones3Lehigh Valley Phantoms2WXXSommaire du match
72519Owen Sound Platers6Cincinnati Cyclones5LXSommaire du match
76546Cincinnati Cyclones2Colorado Eagles3LSommaire du match
77556Charlestown Chiefs6Cincinnati Cyclones5LSommaire du match
80578Flint Michigan Tropics3Cincinnati Cyclones1LSommaire du match
82592Cincinnati Cyclones7Kimberley Dynamiters4WSommaire du match
85612Wilkes Scranton Penguins2Cincinnati Cyclones1LXXSommaire du match
87628Cincinnati Cyclones5Hartford Wolf Pack4WXXSommaire du match
89642Bobcaygeon Bullets6Cincinnati Cyclones0LSommaire du match
91660Cincinnati Cyclones0Charlotte Checkers7LSommaire du match
93674Kimberley Dynamiters5Cincinnati Cyclones3LSommaire du match
95682Cincinnati Cyclones0Iowa Wild3LSommaire du match
97696Cincinnati Cyclones5Grand Rapids Griffins3WSommaire du match
99712Cincinnati Cyclones3Prince George Cougars4LSommaire du match
100720Lehigh Valley Phantoms3Cincinnati Cyclones2LXSommaire du match
103743Newfoundland Regiment3Cincinnati Cyclones2LSommaire du match
105760Cincinnati Cyclones6Saskatchewan Snatchsniffers1WSommaire du match
107774Saskatchewan Snatchsniffers3Cincinnati Cyclones2LSommaire du match
109788Cincinnati Cyclones4Newfoundland Regiment2WSommaire du match
111805Cincinnati Cyclones2Bobcaygeon Bullets0WSommaire du match
112813Hamilton Bulldogs4Cincinnati Cyclones2LSommaire du match
115827Cincinnati Cyclones2Manitoba Moose3LXSommaire du match
117843Palm Springs Navigators5Cincinnati Cyclones7WSommaire du match
119858Cincinnati Cyclones3Wilkes Scranton Penguins4LXSommaire du match
121872Cincinnati Cyclones2Henderson Silver Knights4LSommaire du match
122880San Diego Gulls5Cincinnati Cyclones4LXXSommaire du match
125907Charlotte Checkers1Cincinnati Cyclones0LSommaire du match
127921Cincinnati Cyclones4Stouffville Clippers3WXSommaire du match
130941Ontario Reign4Cincinnati Cyclones5WXXSommaire du match
132951Cincinnati Cyclones1Victoria Grizzlies3LSommaire du match
134965Cincinnati Cyclones6San Diego Gulls5WXXSommaire du match
135978Tucson Roadrunners4Cincinnati Cyclones3LSommaire du match
1391003Prince George Cougars4Cincinnati Cyclones3LSommaire du match
1421023Cincinnati Cyclones5Palm Springs Navigators6LXSommaire du match
1441035Stouffville Clippers5Cincinnati Cyclones4LXXSommaire du match
1471055Cincinnati Cyclones4Bridgeport Islanders3WSommaire du match
1501071Cairo Fighting Ice Camels2Cincinnati Cyclones4WSommaire du match
1531093Cincinnati Cyclones4Kitchener Rangers3WSommaire du match
1541104Henderson Silver Knights2Cincinnati Cyclones3WSommaire du match
1571127Cincinnati Cyclones3Rhode Island Red Army1WSommaire du match
1581134Colorado Eagles5Cincinnati Cyclones1LSommaire du match
1621160Flint Michigan Tropics6Cincinnati Cyclones0LSommaire du match
1641171Cincinnati Cyclones3Flint Michigan Tropics2WXXSommaire du match
1661184Cincinnati Cyclones2Charlestown Chiefs3LXXSommaire du match
1671194Henderson Silver Knights4Cincinnati Cyclones2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681203Cincinnati Cyclones3Flint Michigan Tropics5LSommaire du match
1731231Kitchener Rangers4Cincinnati Cyclones7WSommaire du match
1741242Cincinnati Cyclones3Charlestown Chiefs6LSommaire du match
1771257Iowa Wild3Cincinnati Cyclones6WSommaire du match
1811284Rhode Island Red Army-Cincinnati Cyclones-
1821290Cincinnati Cyclones-Tucson Roadrunners-
1831294Cincinnati Cyclones-Syracuse Crunch-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,099,484$ 2,120,000$ 2,120,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,099,484$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 9 11,277$ 101,493$




Cincinnati Cyclones 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
1Jonathan Gruden2437380153-1717434141571110.27%67371115.27815236000039358.88%10.8216
2Tye Felhaber1544367110011926921833912.68%103264117.1577144000045049.44%00.8301
3Nikolai Knyzhov1102980109-1712223717227510.55%183241821.991923421751011510%10.9000
4Michal Teply11518729021412231902666.77%154196317.0810112110200001248.08%00.9235
5Graeme Clarke10135518664110416928512.28%16168916.72710173200022251.13%01.0225

Cincinnati Cyclones 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
1Maxime Lagace2212730.9063.23133700727700100.6676
2Cameron Whitehead179530.9023.33104440585920100.60015
3Colten Ellis2171130.8973.16127122676490010.6673
4Jet Greaves31200.9104.00180201213300000

Cincinnati Cyclones 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
202382323407333307314-741181803002158160-241141604331149154-5903075488551213872871229931003924102657307187395419723557019.72%4139277.72%41510291351.84%1641313352.38%725138652.31%1926133020366031012497
202482323704126308330-22412015031111671472041122201015141183-4283308584892311119110010339011251096112369319496587719973628022.10%3889276.29%41537319548.11%1480315846.87%655136947.85%192613592057598991474
202579253602556256282-2640131900215133149-1639121702341123133-10752564637191292867114241074982580369262675478417483537120.11%3457777.68%21477267755.17%1491276253.98%733132055.53%208314641733559996523
Total Saison régulière2438910701391015871926-551225152063284584562121385507687413470-5724887115952466553412492583687932877284529521958891259226155717107022120.65%114626177.23%104524878551.50%4612905350.94%2113407551.85%593641545826176030001494
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Cincinnati Cyclones 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

Cincinnati Cyclones 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