Connexion

Panthers
GP: 48 | W: 29 | L: 12 | OTL: 7 | P: 65
GF: 177 | GA: 147 | PP%: 17.93% | PK%: 81.30%
DG: Dan Rhéaume | Morale : 61 | Moyenne d’équipe : 70
#806 vs Canadiens
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Centre de jeu
Panthers
29-12-7, 65pts
5
FINAL
1 Senators
26-16-7, 59pts
Team Stats
W5SéquenceL1
15-5-5Fiche domicile12-8-4
14-7-2Fiche visiteur14-8-3
7-3-0Derniers 10 matchs6-4-0
3.69Buts par match 3.18
3.06Buts contre par match 3.20
17.93%Pourcentage en avantage numérique22.05%
81.30%Pourcentage en désavantage numérique82.05%
Capitals
19-25-4, 42pts
3
FINAL
4 Panthers
29-12-7, 65pts
Team Stats
L3SéquenceW5
10-14-1Fiche domicile15-5-5
9-11-3Fiche visiteur14-7-2
4-5-1Derniers 10 matchs7-3-0
2.63Buts par match 3.69
3.63Buts contre par match 3.06
16.76%Pourcentage en avantage numérique17.93%
78.14%Pourcentage en désavantage numérique81.30%
Panthers
29-12-7, 65pts
2023-12-13
Canadiens
28-14-5, 61pts
Statistiques d’équipe
W5SéquenceW1
15-5-5Fiche domicile20-5-1
14-7-2Fiche visiteur8-9-4
7-3-010 derniers matchs6-4-0
3.69Buts par match 3.38
3.06Buts contre par match 3.38
17.93%Pourcentage en avantage numérique17.11%
81.30%Pourcentage en désavantage numérique82.47%
BlueJacket
24-20-4, 52pts
2023-12-14
Panthers
29-12-7, 65pts
Statistiques d’équipe
L1SéquenceW5
13-11-0Fiche domicile15-5-5
11-9-4Fiche visiteur14-7-2
4-6-010 derniers matchs7-3-0
3.40Buts par match 3.69
3.04Buts contre par match 3.69
28.13%Pourcentage en avantage numérique17.93%
78.95%Pourcentage en désavantage numérique81.30%
Panthers
29-12-7, 65pts
2023-12-17
GoldenKnights
21-23-3, 45pts
Statistiques d’équipe
W5SéquenceW3
15-5-5Fiche domicile15-9-1
14-7-2Fiche visiteur6-14-2
7-3-010 derniers matchs6-3-1
3.69Buts par match 3.40
3.06Buts contre par match 3.40
17.93%Pourcentage en avantage numérique17.30%
81.30%Pourcentage en désavantage numérique74.71%
Meneurs d'équipe
Buts
Kyle Connor
24
Passes
Ryan O'Reilly
39
Points
Ryan O'Reilly
61
Plus/Moins
Jan Rutta
22
Victoires
Jake Oettinger
17
Pourcentage d’arrêts
Jake Oettinger
0.906

Statistiques d’équipe
Buts pour
177
3.69 GFG
Tirs pour
1639
34.15 Avg
Pourcentage en avantage numérique
17.9%
33 GF
Début de zone offensive
41.9%
Buts contre
147
3.06 GAA
Tirs contre
1379
28.73 Avg
Pourcentage en désavantage numérique
81.3%%
23 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralDan Rhéaume
EntraîneurBob Boughner
DivisionDivision Atlantique
ConférenceConference Est
CapitaineRyan O'Reilly
Assistant #1Brent Burns
Assistant #2Mark Stone


Informations de l’aréna

NomOffice Depot Center
Capacité23,000
Assistance20,547
Billets de saison9,200


Informations de la formation

Équipe Pro22
Équipe Mineure28
Limite contact 50 / 55
Espoirs52


Plafond salarial Non Activé

Cap Salarial de la Saison estimé76,300,000$
Plafond salarial disponible600,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour41,299,286$
Dépenses annuelles à ce jour44,711,546$
Revenus de la saison estimés26,431,543$
Dépenses de la saison estimées31,648,350$
Compte bancaire actuel122,983,466$
Compte bancaire projeté118,465,106$


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
1Mark Stone (A)X99.0071348871729591896787867976989951737803159,000,000$
2Ryan O'Reilly (C)X100.00462699707694928789908379739998467377N03227,500,000$
3Kyle ConnorX100.00674594807594918763878571828694637077N02738,000,000$
4Ryan Nugent-HopkinsX100.0054379671729188907291827776847957737503037,000,000$
5Jason RobertsonX99.006645907872869082648683708365807677730241900,000$
6Brock BoeserX98.0060439376758986846877807181727265737202625,500,000$
7Philip DanaultX100.0069409469688386708072737762746155616803033,000,000$
8Zach Aston-ReeseX100.0078458372708289747175707670665654736802911,700,000$
9Noah CatesX100.0067459173708072735973777174534868736702453,500,000$
10J.T. CompherX100.0062429174727289627271707970815961736702811,700,000$
11Sean MaloneX100.0065449171727371727572687760655957736602811,300,000$
12Nicklas JensenX100.006445876974706970616667706549455325620301700,000$
13Brent Burns (A)X100.0072458966788991844590917882999920777703828,000,000$
14Colton ParaykoX98.00675391707485917545777380657867556371N03046,000,000$
15Trevor Van RiemsdykX100.00614591747285867445726981677364505370N0321900,000$
16Jonas BrodinX98.0048379770738892814575667955756757737003013,500,000$
17Jan RuttaX100.00684585747382817345706778656356465468N0332900,000$
18Riley StillmanX100.007652797472777774456471776060506673670251900,000$
Rayé
1Pavel Dorofeyev (R)X94.666345887270787274617177747545457061660233900,000$
2Dennis CholowskiX100.006245897772777573457369726364496622670251900,000$
Équipe Mineure
1Hudson FaschingX100.0071508373757576716270726564666060566602821,700,000$
2Joey AndersonX100.005547917471747475627172656770516667660251750,000$
3Marko DanoX100.0061449472707674706968696966635559596502921,250,000$
4Mason AppletonX100.0065458572707886697169717271665657676502711,000,000$
5Jack Studnicka (R)X99.006945887269708070726869716355456066640243900,000$
6Josiah SlavinX100.0064459173687971706368657363544968646402421,100,000$
7Gemel SmithX100.0065518571717468716870707168554856676402931,300,000$
8Kenny AgostinoX100.005941967171737670626869716754485066630311800,000$
9Dan O'ReganX100.005944937068677668756762735862545366630291900,000$
10Maxim ShalunovX100.006144937173717171616970686845455366630302900,000$
11Taylor LeierX100.005943957269657967686464736064525466630291900,000$
12Jerome FlaakeX100.005642977173696870606668716645454266620331700,000$
13Benjamin GleasonX100.006544867471727470456868735655506656650251750,000$
14Kevin GravelX100.005944917075697269456662736061485069640311900,000$
15Carl DahlstromX100.0061449471777173714569667064524659666402831,250,000$
16Adam PolasekX100.005843957173717171456867706450475059640321900,000$
17John GilmourX100.0063449470717171704569677165494553666403031,250,000$
18Jacob MoverareX100.006644857273717469456769715455506666640251750,000$
19Anton LanderX100.006545926970687068726665706360494619630321800,000$
20Ludwig BlomstrandX100.005741957075687169626564696245455320610301650,000$
21David GilbertX100.005623937171676668686365706345454620610321650,000$
22Henrik BjorklundX100.006547906973676768626465696345454620610331650,000$
23Luca CuntiX100.005844957072686868636463716145454219610341650,000$
24Viktor SvedbergX100.005642986777706869456564706248454619620321700,000$
25Steve OleksyX100.005947966971656569456765706353472419620371700,000$
26Ryan ButtonX100.006145926971717068456564706245454620620321700,000$
MOYENNE D’ÉQUIPE99.67634391727276777360717073666257555766
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
1Jake Oettinger (R)99.00879092829386878688888870706065730243900,000$
2Thatcher Demko99.008284868183898690918789636759707102824,500,000$
Rayé
Équipe Mineure
1Luka Gracnar100.007680807377788381817879505456436403021,500,000$
2Joseph Woll100.00808376797878787878757961556668640251750,000$
MOYENNE D’ÉQUIPE99.5081848479838384848582846162606268
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner85818479899176CAN525500,000$


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
1Ryan O'ReillyPanthersC48223961190021031694611313.02%989918.7431013361520000105156.34%120700011.3616000441
2Kyle ConnorPanthersLW482429531935565351845112513.04%388218.383101337152000002149.02%5100001.2028001345
3Ryan Nugent-HopkinsPanthersC48202949122022951534310213.07%1390018.77481227152000033248.08%116900001.0901000532
4Mark StonePanthersRW481829472114089551755513910.29%491419.063912351510001173045.07%7100001.0327000237
5Jason RobertsonPanthersLW48142640123010835314743969.52%685917.91461034151000002150.88%5700000.9300101411
6Brent BurnsPanthersD4892837-14610604189355210.11%61108022.52641055148000081100%000000.6800101110
7Brock BoeserPanthersRW4818153310804237128308114.06%786518.0423531153000003153.62%6900010.7600000205
8Riley StillmanPanthersD4871825184020572042122516.67%4792619.3041522101000150100%000000.5400013001
9Pavel DorofeyevPanthersRW47111324-5402226105367410.48%672815.51033547000002128.30%5300010.6600000320
10Noah CatesPanthersLW4881523-8140403611431857.02%573915.410221148000011040.00%6000000.6200000021
11Colton ParaykoPanthersD44417216602053405617277.14%5698822.4614528138000079210%000000.4200013021
12Jonas BrodinPanthersD4851419-78019375214339.62%52104221.713252297000196010%000000.3600000100
13Jan RuttaPanthersD4611314223952930228234.55%4472415.7400002000029000%000000.3900001010
14Philip DanaultPanthersC425712-418035676323467.94%765815.67000000001841152.05%87600000.3600000011
15Trevor Van RiemsdykPanthersD35191031401624231074.35%4566418.97000317000064100%000000.3000000001
16Sean MalonePanthersC483710-18022454311326.98%94138.62000000001950042.69%52700000.4800000001
17J.T. CompherPanthersRW48347-2207152471912.50%63397.07000100001940051.85%2700000.4100000001
18Zach Aston-ReesePanthersLW48257-116040224412324.55%63487.27000000003910047.83%4600100.4000000000
19Dennis CholowskiPanthersD18055860885070%2130416.9000001100004000%000000.3300000002
20Anton LanderCheckers (Flo)C6000000221010%0264.3800000000000041.38%290000000000000
21Nicklas JensenPanthersRW1000000000000%055.520000000000000%00000000000000
22Viktor SvedbergCheckers (Flo)D1000-100000010%21414.250000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne864175322497120364707137911639484112010.68%4091432716.5833629534715280009807271050.28%424200130.695222210252430
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
1Jake OettingerPanthers3117740.9062.80169300798370010.500122919241
2Thatcher DemkoPanthers2312530.8892.94122321605400010.636111929100
Statistiques d’équipe totales ou en moyenne54291270.8992.862916211391377002234848341


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 Type Salaire actuel Plafond salarial Non Activé 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 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
Brent BurnsPanthersD381985-03-09No230 Lbs6 ft5NoNoN/ANoNo2Pro Only8,000,000$8,000,000$3,296,703$No8,000,000$--------No--------Lien
Brock BoeserPanthersRW261997-02-25No191 Lbs6 ft1NoNoN/ANoNo2Pro & Farm5,500,000$5,500,000$2,266,484$No5,500,000$--------No--------Lien
Colton ParaykoPanthersD301993-05-12No226 Lbs6 ft6YesNoN/ANoNo4Pro & Farm6,000,000$6,000,000$2,472,527$No6,000,000$6,000,000$6,000,000$------YesYesYes------Lien
Dennis CholowskiPanthersD251998-02-15No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
J.T. CompherPanthersRW281995-04-08No193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,700,000$1,700,000$700,549$No------------------Lien
Jake OettingerPanthersG241998-12-18Yes220 Lbs6 ft5NoNoN/ANoNo3Pro & Farm900,000$900,000$370,879$No900,000$900,000$-------NoNo-------Lien
Jan RuttaPanthersD331990-07-29No204 Lbs6 ft3YesNoN/ANoNo2Pro Only900,000$900,000$370,879$No900,000$--------Yes--------Lien
Jason RobertsonPanthersLW241999-07-22No194 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Jonas BrodinPanthersD301993-07-12No194 Lbs6 ft1NoNoN/ANoNo1Pro & Farm3,500,000$3,500,000$1,442,308$No------------------Lien
Kyle ConnorPanthersLW271996-12-09No182 Lbs6 ft1YesNoN/ANoNo3Pro & Farm8,000,000$8,000,000$3,296,703$No8,000,000$8,000,000$-------YesYes-------Lien
Mark StonePanthersRW311992-05-13No219 Lbs6 ft4NoNoN/ANoNo5Pro & Farm9,000,000$9,000,000$3,708,791$No9,000,000$9,000,000$9,000,000$9,000,000$-----NoNoNoNo-----Lien
Nicklas JensenPanthersRW301993-03-06No216 Lbs6 ft3NoNoN/ANoNo1Pro & Farm700,000$700,000$288,462$No------------------Lien
Noah CatesPanthersLW241999-02-05No170 Lbs6 ft1NoNoN/ANoNo5Pro & Farm3,500,000$3,500,000$1,442,308$No3,500,000$3,500,000$3,500,000$3,500,000$-----NoNoNoNo-----Lien
Pavel Dorofeyev (sur la masse salariale)PanthersRW232000-10-26 10:01:29Yes194 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$0$0$Yes900,000$900,000$-------NoNo-------Lien
Philip DanaultPanthersC301993-02-24No195 Lbs6 ft1NoNoN/ANoNo3Pro & Farm3,000,000$3,000,000$1,236,264$No3,000,000$3,000,000$-------NoNo-------Lien
Riley StillmanPanthersD251998-03-09No196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Ryan Nugent-HopkinsPanthersC301993-04-12No184 Lbs6 ft0NoNoN/ANoNo3Pro & Farm7,000,000$7,000,000$2,884,615$No7,000,000$7,000,000$-------NoNo-------Lien
Ryan O'ReillyPanthersC321991-02-07No216 Lbs6 ft1YesNoN/ANoNo2Pro & Farm7,500,000$7,500,000$3,090,659$No7,500,000$--------Yes--------Lien
Sean MalonePanthersC281995-04-30No197 Lbs6 ft0NoNoN/ANoYes1Pro & Farm1,300,000$1,300,000$535,714$No------------------Lien
Thatcher DemkoPanthersG281995-12-08No192 Lbs6 ft4NoNoN/ANoNo2Pro & Farm4,500,000$4,500,000$1,854,396$No4,500,000$--------No--------Lien
Trevor Van RiemsdykPanthersD321991-07-24No191 Lbs6 ft3YesNoN/ANoNo1Pro Only900,000$900,000$370,879$No------------------Lien
Zach Aston-ReesePanthersLW291994-08-10No204 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,700,000$1,700,000$700,549$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.50200 Lbs6 ft22.183,509,091$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
77,200,000$64,700,000$38,300,000$18,500,000$12,500,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle ConnorRyan O'ReillyMark Stone30023
2Jason RobertsonRyan Nugent-HopkinsBrock Boeser30023
3Noah CatesPhilip DanaultJ.T. Compher30023
4Zach Aston-ReeseSean MaloneNicklas Jensen10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinBrent Burns35041
2Trevor Van RiemsdykColton Parayko35041
3Riley StillmanJan Rutta30041
4Jonas BrodinBrent Burns0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle ConnorRyan O'ReillyMark Stone50005
2Jason RobertsonRyan Nugent-HopkinsBrock Boeser50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Riley StillmanBrent Burns50014
2Jonas BrodinColton Parayko50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sean MaloneJ.T. Compher50041
2Philip DanaultZach Aston-Reese50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor Van RiemsdykColton Parayko50041
2Jonas BrodinBrent Burns50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sean Malone50050Trevor Van RiemsdykColton Parayko50050
2Philip Danault50050Jonas BrodinBrent Burns50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan O'ReillyKyle Connor50023
2Ryan Nugent-HopkinsMark Stone50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinBrent Burns50032
2Trevor Van RiemsdykColton Parayko50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle ConnorRyan O'ReillyMark StoneRiley StillmanBrent Burns
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach Aston-ReesePhilip DanaultJ.T. CompherJonas BrodinColton Parayko
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicklas Jensen, Noah Cates, Sean MaloneNicklas Jensen, Noah CatesMark Stone
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Stillman, Jan Rutta, Brent BurnsTrevor Van RiemsdykRiley Stillman, Jan Rutta
Tirs de pénalité
Ryan O'Reilly, Kyle Connor, Mark Stone, Ryan Nugent-Hopkins, Brock Boeser
Gardien
#1 : Jake Oettinger, #2 : Thatcher Demko, #3 : 0


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
1Avalanches11000000853000000000001100000085321.00081220003500389209034175315200.00%7271.43%0875177749.24%874168451.90%38478149.17%2013276125
2BlackHawks11000000211110000002110000000000021.00024600011036414180307713300.00%10100.00%0875177749.24%874168451.90%38478149.17%2315248126
3BlueJacket2020000048-4000000000002020000048-400.00048121031007634142806218132411327.27%30100.00%0875177749.24%874168451.90%38478149.17%493545142412
4Bruins21000001550210000015500000000000030.75051015001311802731187521710368225.00%50100.00%0875177749.24%874168451.90%38478149.17%574041142613
5Canadiens1010000027-5000000000001010000027-500.0002460010103815131002713417400.00%20100.00%0875177749.24%874168451.90%38478149.17%2316247126
6Canucks11000000312110000003120000000000021.0003690011104315111703814218300.00%10100.00%0875177749.24%874168451.90%38478149.17%2317236126
7Capitals3110001012120210000109721010000035-240.66712193100632210828354258624165616212.50%8275.00%0875177749.24%874168451.90%38478149.17%714773244020
8Coyotes1010000012-1000000000001010000012-100.000123000100268117026761211100.00%3166.67%0875177749.24%874168451.90%38478149.17%2416237126
9Devils421000011614231100001111101100000053250.62516314710754014248514141234529601417.14%11190.91%0875177749.24%874168451.90%38478149.17%956597295125
10Ducks11000000413000000000001100000041321.000471100220029101090313784125.00%10100.00%0875177749.24%874168451.90%38478149.17%2418227126
11Flames1010000026-4000000000001010000026-400.00024600011041121415033138134125.00%4250.00%0875177749.24%874168451.90%38478149.17%2316257115
12Flyers1000000134-11000000134-10000000000010.500347003000271010552931017200.00%5260.00%0875177749.24%874168451.90%38478149.17%2315278136
13Hurricanes330000001257110000004132200000084461.00012213300462011134423507519124116318.75%40100.00%0875177749.24%874168451.90%38478149.17%745368213719
14Islanders320000011385110000004222100000196350.8331325380075101143938337771914541417.14%7271.43%0875177749.24%874168451.90%38478149.17%795564214020
15Jets11000000532000000000001100000053221.000591400113035111113030710183133.33%50100.00%0875177749.24%874168451.90%38478149.17%2113247136
16Kings10000010761100000107610000000000021.00071118001501319156332172143133.33%110.00%0875177749.24%874168451.90%38478149.17%2417278136
17Lightning21000001660000000000002100000166030.75061117003300472020734016193411545.45%7185.71%0875177749.24%874168451.90%38478149.17%493346162814
18MapleLeafs2200000011560000000000022000000115641.000112031005510632519190581121269555.56%20100.00%0875177749.24%874168451.90%38478149.17%473244152713
19Penguins4210010013130210001005502110000088050.625132437004450126473345112432335913215.38%14285.71%0875177749.24%874168451.90%38478149.17%895999305125
20Predators1010000034-11010000034-10000000000000.000369002100329158025107183133.33%10100.00%0875177749.24%874168451.90%38478149.17%2216247125
21Rangers22000000954000000000002200000095441.0009182700342058192217068218219111.11%3233.33%0875177749.24%874168451.90%38478149.17%483346132413
22RedWings2110000037-42110000037-40000000000020.50036900210076283018052181622600.00%8275.00%0875177749.24%874168451.90%38478149.17%473347152411
23Sabres21000001963210000019630000000000030.75091423001621642422166641512246116.67%6183.33%0875177749.24%874168451.90%38478149.17%503648142513
24Senators3120000010822020000057-21100000051420.33310182800334099343728088223344800.00%7185.71%0875177749.24%874168451.90%38478149.17%704870243818
25Sharks11000000303110000003030000000000021.000369010210308111102456134125.00%30100.00%0875177749.24%874168451.90%38478149.17%2416237126
26Stars11000000523110000005230000000000021.00051015002030391313130244211600.00%10100.00%0875177749.24%874168451.90%38478149.17%2821196126
27Wild11000000633110000006330000000000021.00061218001410301015502712625100.00%3166.67%0875177749.24%874168451.90%38478149.17%2517216137
Total482712001261771473025135001248772152314700002907515650.67717732249921667336516395505774934113794093667131843317.93%1232381.30%0875177749.24%874168451.90%38478149.17%11638081135361621310
_Since Last GM Reset482712001261771473025135001248772152314700002907515650.67717732249921667336516395505774934113794093667131843317.93%1232381.30%0875177749.24%874168451.90%38478149.17%11638081135361621310
_Vs Conference361990011612811315188400114585531811500002705812470.65312823336120534925412294324173623810252932505351472617.69%921682.61%0875177749.24%874168451.90%38478149.17%877607848273470235
_Vs Division14740000346442833000022225-36410000124195170.60746831290016219246717317211616381112115203521325.00%37586.49%0875177749.24%874168451.90%38478149.17%34624132310818492

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4865W51773224991639137940936671321
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4827120126177147
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2513501248772
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2314700029075
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1843317.93%1232381.30%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
550577493416673365
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
875177749.24%874168451.90%38478149.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11638081135361621310


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
1 - 2023-08-252Panthers3Capitals5ALSommaire du match
2 - 2023-08-2613Panthers5Devils3AWSommaire du match
4 - 2023-08-2832Flyers4Panthers3BLXXSommaire du match
6 - 2023-08-3044Devils3Panthers2BLXXSommaire du match
10 - 2023-09-0374Panthers4MapleLeafs2AWSommaire du match
12 - 2023-09-0585Penguins3Panthers2BLXSommaire du match
16 - 2023-09-09109Bruins2Panthers1BLXXSommaire du match
19 - 2023-09-12133Panthers3BlueJacket5ALSommaire du match
21 - 2023-09-14145Capitals4Panthers5BWXXSommaire du match
24 - 2023-09-17162Panthers4Rangers2AWSommaire du match
25 - 2023-09-18176Devils2Panthers5BWSommaire du match
28 - 2023-09-21197Panthers2Lightning3ALXXSommaire du match
30 - 2023-09-23207Sabres2Panthers6BWSommaire du match
33 - 2023-09-26235RedWings2Panthers3BWSommaire du match
35 - 2023-09-28243Panthers6Penguins3AWSommaire du match
37 - 2023-09-30262Panthers5Islanders1AWSommaire du match
38 - 2023-10-01273Canucks1Panthers3BWSommaire du match
42 - 2023-10-05298Panthers1Coyotes2ALSommaire du match
43 - 2023-10-06305Bruins3Panthers4BWSommaire du match
46 - 2023-10-09323Panthers5Rangers3AWSommaire du match
48 - 2023-10-11336Stars2Panthers5BWSommaire du match
50 - 2023-10-13359RedWings5Panthers0BLSommaire du match
52 - 2023-10-15369Panthers5Jets3AWSommaire du match
54 - 2023-10-17382Panthers8Avalanches5AWSommaire du match
56 - 2023-10-19395Wild3Panthers6BWSommaire du match
58 - 2023-10-21413Panthers2Flames6ALSommaire du match
60 - 2023-10-23426Panthers2Canadiens7ALSommaire du match
61 - 2023-10-24436Predators4Panthers3BLSommaire du match
64 - 2023-10-27457Panthers4Ducks1AWSommaire du match
65 - 2023-10-28466Senators4Panthers3BLSommaire du match
67 - 2023-10-30484Panthers4Islanders5ALXXSommaire du match
70 - 2023-11-02499Kings6Panthers7BWXXSommaire du match
73 - 2023-11-05523Sabres4Panthers3BLXXSommaire du match
74 - 2023-11-06536Panthers2Penguins5ALSommaire du match
77 - 2023-11-09555Sharks0Panthers3BWSommaire du match
80 - 2023-11-12574Panthers4Hurricanes1AWSommaire du match
82 - 2023-11-14589Hurricanes1Panthers4BWSommaire du match
84 - 2023-11-16606Panthers7MapleLeafs3AWSommaire du match
86 - 2023-11-18619Penguins2Panthers3BWSommaire du match
90 - 2023-11-22648Senators3Panthers2BLSommaire du match
92 - 2023-11-24664Panthers1BlueJacket3ALSommaire du match
94 - 2023-11-26676Panthers4Hurricanes3AWSommaire du match
95 - 2023-11-27686Devils6Panthers4BLSommaire du match
98 - 2023-11-30706Panthers4Lightning3AWSommaire du match
100 - 2023-12-02719BlackHawks1Panthers2BWSommaire du match
103 - 2023-12-05745Islanders2Panthers4BWSommaire du match
106 - 2023-12-08764Panthers5Senators1AWSommaire du match
107 - 2023-12-09779Capitals3Panthers4BWSommaire du match
111 - 2023-12-13806Panthers-Canadiens-
112 - 2023-12-14811BlueJacket-Panthers-
115 - 2023-12-17837Panthers-GoldenKnights-
116 - 2023-12-18844Blues-Panthers-
119 - 2023-12-21864Panthers-Sabres-
120 - 2023-12-22873Kraken-Panthers-
123 - 2023-12-25895Panthers-Sabres-
125 - 2023-12-27906Lightning-Panthers-
129 - 2023-12-31938Hurricanes-Panthers-
131 - 2024-01-02951Panthers-Oilers-
133 - 2024-01-04970Flyers-Panthers-
138 - 2024-01-091000MapleLeafs-Panthers-
142 - 2024-01-131030Kraken-Panthers-
143 - 2024-01-141037Panthers-Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181063BlueJacket-Panthers-
148 - 2024-01-191069Panthers-Wild-
151 - 2024-01-221094Lightning-Panthers-
152 - 2024-01-231098Panthers-Sharks-
155 - 2024-01-261126Islanders-Panthers-
156 - 2024-01-271132Panthers-Flyers-
160 - 2024-01-311159Canadiens-Panthers-
162 - 2024-02-021176Panthers-Bruins-
164 - 2024-02-041191Canadiens-Panthers-
166 - 2024-02-061197Panthers-Devils-
167 - 2024-02-071205Panthers-Senators-
169 - 2024-02-091223MapleLeafs-Panthers-
170 - 2024-02-101227Panthers-Flyers-
172 - 2024-02-121245Panthers-Capitals-
173 - 2024-02-131254Rangers-Panthers-
174 - 2024-02-141259Panthers-RedWings-
176 - 2024-02-161271Panthers-Devils-
177 - 2024-02-171285Panthers-Bruins-
179 - 2024-02-191293Rangers-Panthers-
180 - 2024-02-201297Panthers-RedWings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80006000300050001000
Prix des billets85452520175
Assistance186,070138,76861,838106,22920,768
Attendance PCT93.04%92.51%82.45%84.98%83.07%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 20547 - 89.33% 1,651,971$41,299,286$23000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
44,711,546$ 76,300,000$ 72,800,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
76,300,000$ 44,417,616$ 0$ 21 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
26,431,543$ 75 421,978$ 31,648,350$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
32,750,700$ 122,983,466$ 118,465,106$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
76,300,000$ 600,000$ 76,900,000$ 76,300,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Kyle ConnorAGE:27PO:63OV:77
Jason RobertsonAGE:24PO:76OV:73
Zach Aston-ReeseAGE:29PO:54OV:68
Noah CatesAGE:24PO:68OV:67
Josiah SlavinAGE:24PO:68OV:64
Gemel SmithAGE:29PO:56OV:64
Taylor LeierAGE:29PO:54OV:63
Kenny AgostinoAGE:31PO:50OV:63
Ludwig BlomstrandAGE:30PO:53OV:61
David GilbertAGE:32PO:46OV:61
Ryan O'ReillyAGE:32PO:46OV:77
Ryan Nugent-HopkinsAGE:30PO:57OV:75
Philip DanaultAGE:30PO:55OV:68
Sean MaloneAGE:28PO:57OV:66
Marko DanoAGE:29PO:59OV:65
Mason AppletonAGE:27PO:57OV:65
Jack Studnicka (R)AGE:24PO:60OV:64
Dan O'ReganAGE:29PO:53OV:63
Anton LanderAGE:32PO:46OV:63
Luca CuntiAGE:34PO:42OV:61
Mark StoneAGE:31PO:51OV:78
Brock BoeserAGE:26PO:65OV:72
J.T. CompherAGE:28PO:61OV:67
Pavel Dorofeyev (R)AGE:23PO:70OV:66
Joey AndersonAGE:25PO:66OV:66
Hudson FaschingAGE:28PO:60OV:66
Maxim ShalunovAGE:30PO:53OV:63
Nicklas JensenAGE:30PO:53OV:62
Jerome FlaakeAGE:33PO:42OV:62
Henrik BjorklundAGE:33PO:46OV:61

Défense #1Défense #2Gardien
Brent BurnsAGE:38PO:20OV:77
Colton ParaykoAGE:30PO:55OV:71
Jonas BrodinAGE:30PO:57OV:70
Trevor Van RiemsdykAGE:32PO:50OV:70
Jan RuttaAGE:33PO:46OV:68
Dennis CholowskiAGE:25PO:66OV:67
Riley StillmanAGE:25PO:66OV:67
Benjamin GleasonAGE:25PO:66OV:65
Jacob MoverareAGE:25PO:66OV:64
Carl DahlstromAGE:28PO:59OV:64
John GilmourAGE:30PO:53OV:64
Kevin GravelAGE:31PO:50OV:64
Adam PolasekAGE:32PO:50OV:64
Viktor SvedbergAGE:32PO:46OV:62
Ryan ButtonAGE:32PO:46OV:62
Steve OleksyAGE:37PO:24OV:62
Jake Oettinger (R)AGE:24PO:60OV:73
Thatcher DemkoAGE:28PO:59OV:71
Joseph WollAGE:25PO:66OV:64
Luka GracnarAGE:30PO:56OV:64

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Albert WikmanPanthers151230Lien
Aleksi HeimosalmiPanthers1387
Aleksi MalinenPanthers1389
Aram MinnetianPanthers15720Lien
Arseni KoromyslovPanthers141150Lien
Artem GrushnikovPanthers1371
Artem ShlainePanthers11157
Blake MclaughlinPanthers953
Blake MurrayPanthers1093
Brent JohnsonPanthers1355
Bryce MontgomeryPanthers13119
Carey TerrancePanthers15560Lien
Carter SotheranPanthers15910Lien
Cayden PrimeauPanthers8110
Coulson PitrePanthers15670Lien
Cross HanasPanthers1188
Daniil GutikPanthers1087
Devin KaplanPanthers14990Lien
Dmitriy SimashevPanthers15260Lien
Ethan CardwellPanthers11128
Ethan KeppenPanthers10119
Fabian LysellPanthers1323
Filip NordbergPanthers141270Lien
Francesco ArcuriPanthers13118
Grant RileyPanthers11155
Ivan MorozovPanthers985
Jonatan BerggrenPanthers921
Justin JanickePanthers13133
Kalle VaisanenPanthers13123
Liam GilmartinPanthers13113
Luka BurzanPanthers9104
Martin ChromiakPanthers1132
Martin HasPanthers10100
Mathieu CatafordPanthers15590Lien
Michael FisherPanthers14960Lien
Mitchell MillerPanthers1197
Niklas KokkoPanthers141280Lien
Noah WarrenPanthers1440
Oliver MobergPanthers13156
Oscar PlandowskiPanthers1399
Oskar OlaussonPanthers1346
Philip TomasinoPanthers1022
Ronan SeeleyPanthers11113
Ryan GreenePanthers14840Lien
Ryan JohnsonPanthers1055
Sam RinzelPanthers1432
Semyon VyazovoiPanthers13152
Tristen RobinsPanthers1196
Tuukka TieksolaPanthers10118
Veeti MiettinenPanthers1164
Viktor NeuchevPanthers141230Lien
William ConstantinouPanthers10142

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Panthers Historique de transactions

[2023-10-17 14:16:38] - New Record for Team's Most Penalties Minutes (53) in 1 Game for Panthers!
[2023-10-06 16:25:42] - Henrik Bjorklund signed with Panthers for $650,000 for 1 year(s).
[2023-10-06 16:25:42] - Henrik Bjorklund was added to Panthers.
[2023-10-05 15:33:45] - Ludwig Blomstrand signed with Panthers for $650,000 for 1 year(s).
[2023-10-05 15:33:45] - Ludwig Blomstrand was added to Panthers.
[2023-10-05 15:33:42] - Luca Cunti signed with Panthers for $650,000 for 1 year(s).
[2023-10-05 15:33:42] - Luca Cunti was added to Panthers.
[2023-10-04 16:16:56] - Steve Oleksy signed with Panthers for $700,000 for 1 year(s).
[2023-10-04 16:16:56] - Steve Oleksy was added to Panthers.
[2023-10-04 16:15:55] - David Gilbert signed with Panthers for $650,000 for 1 year(s).
[2023-10-04 16:15:55] - David Gilbert was added to Panthers.
[2023-08-14 12:27:48] - TRADE : From Panthers to Canadiens : Y:19-RND:5-LV .
[2023-08-14 12:27:48] - TRADE : From Canadiens to Panthers : Y:19-RND:5-Mon.
[2023-08-14 12:21:56] - Jan Rutta signed with Panthers for $900,000 for 2 year(s) / Option : No Trade.
[2023-08-14 12:21:56] - Jan Rutta was added to Panthers.
[2023-08-08 20:41:40] - Trevor Van Riemsdyk signed with Panthers for $900,000 for 1 year(s) / Option : No Trade.
[2023-08-08 20:41:40] - Trevor Van Riemsdyk was added to Panthers.
[2023-08-01 12:41:48] - Team Name Change : Thunderbirds changed name to Checkers
[2023-08-01 02:04:56] - Ryan Button signed with Panthers for $700,000 for 1 year(s).
[2023-08-01 02:04:56] - Ryan Button was added to Panthers.
[2023-08-01 02:04:53] - Nicklas Jensen signed with Panthers for $700,000 for 1 year(s).
[2023-08-01 02:04:53] - Nicklas Jensen was added to Panthers.
[2023-08-01 02:04:01] - Jerome Flaake has been selected as assistant for Thunderbirds.
[2023-08-01 02:04:01] - Kevin Gravel is no longer as assistant for Thunderbirds.
[2023-08-01 02:04:01] - Adam Polasek has been selected as assistant for Thunderbirds.
[2023-08-01 02:04:01] - Unknown Player is no longer as assistant for Thunderbirds.
[2023-08-01 02:04:01] - Kevin Gravel has been selected as captain for Thunderbirds.
[2023-08-01 02:04:01] - Unknown Player is no longer captain for Thunderbirds.
[2023-07-30 13:31:23] - Albert Wikman has been added to Panthers.
[2023-07-30 13:31:23] - Carter Sotheran has been added to Panthers.
[2023-07-30 13:31:23] - Aram Minnetian has been added to Panthers.
[2023-07-30 13:31:23] - Coulson Pitre has been added to Panthers.
[2023-07-30 13:31:23] - Mathieu Cataford has been added to Panthers.
[2023-07-30 13:31:23] - Carey Terrance has been added to Panthers.
[2023-07-30 13:31:23] - Dmitriy Simashev has been added to Panthers.
[2023-07-29 11:15:03] - Viktor Svedberg signed with Panthers for $700,000 for 1 year(s).
[2023-07-29 11:15:03] - Viktor Svedberg was added to Panthers.
[2023-07-29 11:14:07] - Anton Lander signed with Panthers for $800,000 for 1 year(s).
[2023-07-29 11:14:07] - Anton Lander was added to Panthers.
[2023-07-26 10:56:11] - Kenny Agostino signed with Panthers for $800,000 for 1 year(s).
[2023-07-26 10:56:11] - Kenny Agostino was added to Panthers.
[2023-07-26 10:55:55] - Jerome Flaake signed with Panthers for $700,000 for 1 year(s).
[2023-07-26 10:55:55] - Jerome Flaake was added to Panthers.
[2023-07-25 10:04:23] - Team Name Change : Thunderbirds changed name to Thunderbirds
[2023-07-23 22:39:11] - Maxim Shalunov signed with Panthers for $900,000 for 2 year(s).
[2023-07-23 22:39:11] - Maxim Shalunov was added to Panthers.
[2023-07-23 22:38:31] - John Gilmour signed with Panthers for $1,250,000 for 3 year(s).
[2023-07-23 22:38:31] - John Gilmour was added to Panthers.
[2023-07-20 09:52:56] - Carl Dahlstrom signed with Panthers for 1 250 000 $ for 3 year(s).
[2023-07-20 09:52:56] - Carl Dahlstrom was added to Panthers.
[2023-07-17 10:11:12] - Gemel Smith signed with Panthers for 1 300 000 $ for 3 year(s).
[2023-07-17 10:11:12] - Gemel Smith was added to Panthers.



[2023-12-10 19:07:53] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-10 19:07:38] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-10 19:07:37] Nicklas Jensen of Panthers was sent to pro.
[2023-12-09 15:22:48] Game 764 - Pavel Dorofeyev from Panthers is injured (Bruised Left Shoulder) and is out for 1 week.
[2023-12-09 15:22:43] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:142.169.16.130 .
[2023-12-09 15:21:26] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:142.169.16.130 .
[2023-12-09 15:21:09] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:142.169.16.130 .
[2023-12-08 19:13:14] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-12-08 19:10:50] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-12-08 19:10:13] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-12-07 14:58:02] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:174.89.182.230 .
[2023-12-07 14:57:44] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:174.89.182.230 .
[2023-12-06 12:52:38] Pro Game #745 - Pavel Dorofeyev from Panthers has scored a Hat Trick!
[2023-12-06 12:52:33] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:38:33] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:38:01] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:36:58] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:36:57] Anton Lander of Panthers was sent down to farm.
[2023-12-05 13:02:24] Panthers are expected to be over the salary cap by $400,000!
[2023-12-05 13:02:19] Philip Danault from Panthers is back from Broken Right Thumb Injury.
[2023-12-05 13:02:11] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:204.48.93.162 .
[2023-12-05 13:01:58] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:204.48.93.162 .
[2023-12-04 13:00:40] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:207.167.244.182 .
[2023-12-04 12:57:23] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:74.14.180.173 .
[2023-12-03 22:59:06] Adam Polasek from Checkers is back from Right Hand Injury.
[2023-12-02 21:22:07] Successfully loaded Panthers lines done with STHS Client - 3.4.0.0
[2023-11-29 12:36:39] Marko Dano from Checkers is back from Strained Right Elbow Injury.
[2023-11-29 12:36:34] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-11-29 12:34:00] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-11-29 12:33:42] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-11-28 21:03:26] Successfully loaded Panthers lines done with STHS Client - 3.3.9.9
[2023-11-27 19:33:06] Game 694 - Marko Dano from Checkers is injured (Strained Right Elbow) and is out for 1 week.
[2023-11-27 19:33:06] Game 694 - Adam Polasek from Checkers is injured (Right Hand) and is out for 1 week.
[2023-11-27 19:32:49] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .
[2023-11-27 19:31:33] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .
[2023-11-27 19:28:48] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .
[2023-11-27 19:28:25] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .
[2023-11-27 19:27:40] Successfully loaded Panthers lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .



Pavel Dorofeyev est dehors pour 1 jours à cause de Bruised Left Shoulder Injury.



Panthers 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

Panthers 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

Panthers 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

Panthers 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

Panthers 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