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Providence
GP: 52 | W: 30 | L: 19 | OTL: 3 | P: 63
GF: 170 | GA: 156 | PP%: 15.86% | PK%: 81.08%
DG: Richard Gadbois | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #673 vs Charlotte

Centre de jeu
Providence
30-19-3, 63pts
4
FINAL
2 Manitoba
29-22-4, 62pts
Team Stats
W7SéquenceL2
20-6-1Fiche domicile12-12-2
10-13-2Fiche domicile17-10-2
9-0-1Derniers 10 matchs4-6-0
3.27Buts par match 3.07
3.00Buts contre par match 2.96
15.86%Pourcentage en avantage numérique16.02%
81.08%Pourcentage en désavantage numérique81.05%
San Jose
23-23-7, 53pts
2
FINAL
4 Providence
30-19-3, 63pts
Team Stats
L3SéquenceW7
12-12-3Fiche domicile20-6-1
11-11-4Fiche domicile10-13-2
4-5-1Derniers 10 matchs9-0-1
3.40Buts par match 3.27
3.57Buts contre par match 3.00
21.53%Pourcentage en avantage numérique15.86%
78.17%Pourcentage en désavantage numérique81.08%
Providence
30-19-3, 63pts
Jour 126
Charlotte
40-9-6, 86pts
Statistiques d’équipe
W7SéquenceW3
20-6-1Fiche domicile21-3-2
10-13-2Fiche visiteur19-6-4
9-0-110 derniers matchs8-2-0
3.27Buts par match 3.98
3.00Buts contre par match 3.98
15.86%Pourcentage en avantage numérique20.51%
81.08%Pourcentage en désavantage numérique84.32%
Wilkes-Barre/Scranton
30-22-2, 62pts
Jour 128
Providence
30-19-3, 63pts
Statistiques d’équipe
W1SéquenceW7
15-10-1Fiche domicile20-6-1
15-12-1Fiche visiteur10-13-2
6-4-010 derniers matchs9-0-1
3.43Buts par match 3.27
3.13Buts contre par match 3.27
20.00%Pourcentage en avantage numérique15.86%
80.66%Pourcentage en désavantage numérique81.08%
Providence
30-19-3, 63pts
Jour 132
Rochester
25-19-7, 57pts
Statistiques d’équipe
W7SéquenceW1
20-6-1Fiche domicile14-10-3
10-13-2Fiche visiteur11-9-4
9-0-110 derniers matchs5-3-2
3.27Buts par match 3.14
3.00Buts contre par match 3.14
15.86%Pourcentage en avantage numérique13.00%
81.08%Pourcentage en désavantage numérique78.79%
Meneurs d'équipe
Nick BjugstadButs
Nick Bjugstad
19
Erik GustafssonPasses
Erik Gustafsson
28
Points
Austin Wagner
44
Plus/Moins
Joshua Leivo
13
Victoires
Braden Holtby
14
Pourcentage d’arrêts
Braden Holtby
0.916

Statistiques d’équipe
Buts pour
170
3.27 GFG
Tirs pour
2057
39.56 Avg
Pourcentage en avantage numérique
15.9%
36 GF
Début de zone offensive
43.3%
Buts contre
156
3.00 GAA
Tirs contre
1813
34.87 Avg
Pourcentage en désavantage numérique
81.1%%
35 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralRichard Gadbois
EntraîneurLuke Richardson
DivisionNord
ConférenceConference est
CapitaineAnthony Mantha
Assistant #1
Assistant #2Colin Blackwell


Informations de l’aréna

Capacité3,000
Assistance2,233
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 50
Espoirs15


Historique d'équipe

Saison actuelle30-19-3 (63PTS)
Historique68-56-12 (0.500%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)6 - 9 (0.400%)
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
1Michael ChaputXX100.00582581658569936687656460686456215000322502,000$
2Charlie CoyleXX100.00743090748984997072687160827256445000321700,000$
3Joonas DonskoiXX97.006627907680799771706973647970703450003211,200,000$
4Austin WagnerXX100.00763196908177907276707559814946495000271750,000$
5Dmitrij JaskinXX100.006931857484749072716770637358604150003121,050,000$
6Joshua LeivoXX100.006129967483778975716774658465524350003131,640,000$
7Melker KarlssonXX100.00662887676370847171666962776562345000331950,000$
8Colin Blackwell (A)XXX100.007029857269748374827173677667643250003131,300,000$
9Evan RodriguesXXX98.008830887679819973817274638473733950003031,651,000$
10Anthony Mantha (C)XX100.00733987839494886874667257825852605000291825,000$
11Nick BjugstadXXX98.006829927086807774997171608869614350003121,050,000$
12T.J. GaliardiXXX100.006828915875717971676769707488751850003611,200,000$
13Nikita TryamkinX100.007130637293809956555554857955474250002911,350,000$
14Erik GustafssonX100.006831747177878857505753906768653250003232,000,000$
15Brent SeabrookX100.00593079407967975531534989739997155000391850,000$
16Connor MurphyX98.00852577698987874970554391757373345000313500,000$
17Radim SimekX100.00763072718076825150495190756864365000311900,000$
18Jake McCabeX100.00663682769293884653454590686168525000304925,000$
19Chris WidemanX100.00702868697776865050514784727873165000341750,000$
Rayé
1Boo NievesXXX100.00622993738770876771666560805861425000302750,000$
MOYENNE D’ÉQUIPE99.5570308471827889646863637177686436500
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
1Braden Holtby100.0060868681708586858581838279375000343600,000$
2Malcom Subban100.00678280797486858786818863636150003031,150,000$
Rayé
MOYENNE D’ÉQUIPE100.006484838072868686868186737149500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson87827981909978CAN5321,500,000$


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
1Austin WagnerProvidence (BOS)LW/RW4417274463156248196421208.67%278117.7641216481710000121134.92%6300011.1300001513
2Nick BjugstadProvidence (BOS)C/LW/RW48192140917529571572810212.10%498820.6037102616100031023057.69%63100000.8100100234
3Joonas DonskoiProvidence (BOS)LW/RW5218203810605148199621369.05%4101319.50538441950005755248.62%10900000.7500000232
4Evan RodriguesProvidence (BOS)C/LW/RW47162238-14610131119173441409.25%8104122.1665113916200031250051.13%160000020.7301002443
5Colin BlackwellProvidence (BOS)C/LW/RW45171835-310052671494413011.41%799222.0647113215300021196157.14%32900000.7101000062
6Erik GustafssonProvidence (BOS)D3952833325548556330477.94%7490023.08088341430002107100%000000.7300001112
7Nikita TryamkinProvidence (BOS)D52822301600736213137626.11%60119823.06279761880000127100%000100.5000000300
8Joshua LeivoProvidence (BOS)LW/RW529202913602039167411055.39%772814.0102211500002130353.33%6000100.8000000113
9Radim SimekProvidence (BOS)D5242226-148082429337824.30%79104620.12167451610000116000%000000.5000000001
10T.J. GaliardiProvidence (BOS)C/LW/RW491214262100376313138849.16%8101320.693472917100021195150.95%63400000.5100000102
11Charlie CoyleProvidence (BOS)C/RW4461420247566568520557.06%356812.93101531000002048.67%75200000.7000000021
12Brent SeabrookProvidence (BOS)D47811199100192556163014.29%5487418.6041522126000088000%000000.4300000002
13Connor MurphyProvidence (BOS)D3141519132053376526366.15%6276924.833584098000179000%000000.4900000000
14Jake McCabeProvidence (BOS)D4431417224032354916386.12%4673516.710111452000061100%000000.4600000021
15Dmitrij JaskinProvidence (BOS)LW/RW52106164175573311229818.93%468813.24000260001171147.30%7400010.4600001200
16Anthony ManthaProvidence (BOS)LW/RW52571208035259824585.10%94849.32000170000111057.45%4700000.5000000100
17Chris WidemanProvidence (BOS)D52110111037541222715253.70%4257211.0100011000040000%000000.3800000000
18Boo NievesProvidence (BOS)C/LW/RW48459-22017435111317.84%14329.01000121000011048.32%50500000.4200000111
19Michael ChaputProvidence (BOS)C/LW413251005141741717.65%21654.0500015000021055.85%18800110.6000000100
20Melker KarlssonProvidence (BOS)LW/RW52134-28014133818232.63%42695.1900000000091037.50%3200000.3000000000
Statistiques d’équipe totales ou en moyenne9431703014716444440924903205758214028.26%4801526716.193668104471191300021123130951.53%502400350.6202105242427
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
1Braden HoltbyProvidence (BOS)2314800.9163.0413620269825001002320330
2Malcom SubbanProvidence (BOS)179710.9152.879820047556001001631110
3Louis DomingueBoston137420.9142.8278621374300000.3333131212
Statistiques d’équipe totales ou en moyenne53301930.9162.93313123153181100235252652


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
Anthony ManthaProvidence (BOS)LW/RW291994-09-16CANNo233 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm825,000$300,385$0$0$No---------------------------Lien / Lien NHL
Austin Wagner (contrat à 1 volet)Providence (BOS)LW/RW271997-06-23CANNo188 Lbs6 ft1NoNoWaiverYesYes1FalseFalsePro & Farm750,000$285,000$7,500$2,850$No---------------------------Lien
Boo NievesProvidence (BOS)C/LW/RW301994-01-23USANo213 Lbs6 ft3NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm750,000$273,077$0$0$No750,000$--------750,000$--------No--------Lien
Braden HoltbyProvidence (BOS)G341989-09-16CANNo218 Lbs6 ft2NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm600,000$218,462$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Brent SeabrookProvidence (BOS)D391985-04-20CANNo234 Lbs6 ft3NoNoFree AgentNoNo12025-09-21FalseFalsePro & Farm850,000$309,487$0$0$No---------------------------
Charlie Coyle (contrat à 1 volet)Providence (BOS)C/RW321992-03-02USANo230 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm700,000$266,000$7,000$2,660$No---------------------------Lien / Lien NHL
Chris WidemanProvidence (BOS)D341990-01-07USANo180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$273,077$0$0$No---------------------------Lien
Colin BlackwellProvidence (BOS)C/LW/RW311993-03-28USANo190 Lbs5 ft9NoNoFree AgentNoNo32025-09-24FalseFalsePro & Farm1,300,000$473,333$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien / Lien NHL
Connor MurphyProvidence (BOS)D311993-03-26USANo212 Lbs6 ft4NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm500,000$182,051$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Dmitrij JaskinProvidence (BOS)LW/RW311993-03-23RUSNo220 Lbs6 ft2NoNoTrade2024-10-02NoNo2FalseFalsePro & Farm1,050,000$382,308$0$0$No1,050,000$--------1,050,000$--------No--------Lien
Erik GustafssonProvidence (BOS)D321992-03-14SWENo198 Lbs6 ft0NoNoFree Agent2025-07-25NoNo32025-10-08FalseFalsePro & Farm2,000,000$728,205$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Evan RodriguesProvidence (BOS)C/LW/RW301993-07-28CANNo182 Lbs5 ft11NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm1,651,000$601,133$0$0$No1,651,000$1,651,000$-------1,651,000$1,651,000$-------NoNo-------Lien / Lien NHL
Jake McCabeProvidence (BOS)D301993-10-12USANo212 Lbs6 ft1NoNoFree AgentNoNo42025-09-08FalseFalsePro & Farm925,000$336,795$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Joonas DonskoiProvidence (BOS)LW/RW321992-04-13FINNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$436,923$0$0$No---------------------------Lien
Joshua LeivoProvidence (BOS)LW/RW311993-05-26CANNo195 Lbs6 ft2NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm1,640,000$597,128$0$0$No1,640,000$1,640,000$-------1,640,000$1,640,000$-------NoNo-------Lien
Malcom SubbanProvidence (BOS)G301993-12-21CANNo205 Lbs6 ft2NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm1,150,000$418,718$0$0$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------Lien
Melker KarlssonProvidence (BOS)LW/RW331990-07-18SWENo186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm950,000$345,897$0$0$No---------------------------Lien
Michael ChaputProvidence (BOS)C/LW321992-04-09CANNo204 Lbs6 ft2NoNoFree AgentNoNo22024-10-11FalseFalsePro & Farm502,000$182,779$0$0$No502,000$--------502,000$--------No--------Lien
Nick Bjugstad (contrat à 1 volet)Providence (BOS)C/LW/RW311992-07-17USANo224 Lbs6 ft6NoNoN/AYesYes2FalseFalsePro & Farm1,050,000$399,000$10,500$3,990$No1,050,000$--------1,050,000$--------No--------Lien / Lien NHL
Nikita TryamkinProvidence (BOS)D291994-08-30RUSNo267 Lbs6 ft7NoNoFree AgentNoNo12024-09-26FalseFalsePro & Farm1,350,000$491,538$0$0$No---------------------------Lien
Radim SimekProvidence (BOS)D311992-09-20CZENo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$327,692$0$0$No---------------------------Lien
T.J. GaliardiProvidence (BOS)C/LW/RW361988-04-22CANNo202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$436,923$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2231.59209 Lbs6 ft21.951,026,955$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick BjugstadEvan RodriguesJoonas Donskoi35122
2Austin WagnerColin BlackwellT.J. Galiardi30122
3Joshua LeivoCharlie CoyleDmitrij Jaskin25122
4Anthony ManthaMichael ChaputMelker Karlsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyErik Gustafsson35122
2Nikita TryamkinRadim Simek30122
3Brent SeabrookJake McCabe25122
4Chris WidemanConnor Murphy10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick BjugstadEvan RodriguesJoonas Donskoi50122
2Austin WagnerColin BlackwellT.J. Galiardi50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyErik Gustafsson50122
2Nikita TryamkinRadim Simek50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Evan RodriguesNick Bjugstad50122
2Joonas DonskoiColin Blackwell50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyErik Gustafsson50122
2Nikita TryamkinRadim Simek50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Evan Rodrigues50122Connor MurphyErik Gustafsson50122
2Nick Bjugstad50122Nikita TryamkinRadim Simek50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Evan RodriguesNick Bjugstad50122
2Joonas DonskoiColin Blackwell50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyErik Gustafsson50122
2Nikita TryamkinRadim Simek50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick BjugstadEvan RodriguesJoonas DonskoiConnor MurphyErik Gustafsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick BjugstadEvan RodriguesJoonas DonskoiConnor MurphyErik Gustafsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joshua Leivo, Dmitrij Jaskin, Anthony ManthaJoshua Leivo, Dmitrij JaskinAnthony Mantha
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brent Seabrook, Jake McCabe, Chris WidemanBrent SeabrookJake McCabe, Chris Wideman
Tirs de pénalité
Evan Rodrigues, Nick Bjugstad, Joonas Donskoi, Colin Blackwell, Austin Wagner
Gardien
#1 : Malcom Subban, #2 : Braden Holtby
Lignes d’attaque personnalisées en prolongation
Evan Rodrigues, Nick Bjugstad, Joonas Donskoi, Colin Blackwell, Austin Wagner, T.J. Galiardi, Joshua Leivo, Dmitrij Jaskin, Anthony Mantha, Charlie Coyle
Lignes de défense personnalisées en prolongation
Connor Murphy, Erik Gustafsson, Nikita Tryamkin, Radim Simek, Brent Seabrook


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
1Abbotsford21001000624110000004131000100021141.000611170056565357367968067921741718408225.00%8187.50%01127217651.79%1032200551.47%43484251.54%12608591190391685344
2Bakersfield32100000954211000003211100000063340.667914230156565351156796806792110438204318316.67%10190.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
3Bridgeport22000000523220000005230000000000041.0005914005656535896796806792151131637900.00%80100.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
4Charlotte1010000035-21010000035-20000000000000.000358005656535456796806792156131222100.00%6266.67%01127217651.79%1032200551.47%43484251.54%12608591190391685344
5Cleveland32100000981110000003122110000067-140.66791625005656535129679680679219119254919315.79%10280.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
6Coachella Valley32100000871110000001012110000077040.667815230156565351286796806792111626413311218.18%90100.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
7Eagles11000000312000000000001100000031221.0003470056565353667968067921289817300.00%4175.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
8Grand Rapids21100000963211000009630000000000020.500917260056565359967968067921692614459222.22%60100.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
9Hartford412000011418-42100000110912020000049-530.3751425390056565351606796806792115733397616318.75%16662.50%01127217651.79%1032200551.47%43484251.54%12608591190391685344
10Hershey523000001517-23210000010822020000059-440.400152742005656535194679680679211854330841317.69%14564.29%01127217651.79%1032200551.47%43484251.54%12608591190391685344
11Iowa311010001716111000000541201010001212040.667172946005656535140679680679211053734551218.33%17570.59%01127217651.79%1032200551.47%43484251.54%12608591190391685344
12Laval42200000713-62200000063320200000110-940.50071219005656535140679680679211495429771600.00%12375.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
13Lehigh Valley2010010059-4000000000002010010059-410.2505914005656535796796806792174816487114.29%7185.71%01127217651.79%1032200551.47%43484251.54%12608591190391685344
14Manitoba3110100012111100010004312110000088040.6671221330056565351016796806792110627375911654.55%14192.86%01127217651.79%1032200551.47%43484251.54%12608591190391685344
15Ontario321000001385211000006511100000073440.66713243700565653510967968067921852427402328.70%7271.43%01127217651.79%1032200551.47%43484251.54%12608591190391685344
16Rockford20001100660100010003211000010034-130.7506111700565653563679680679216821182812325.00%9188.89%01127217651.79%1032200551.47%43484251.54%12608591190391685344
17San Diego2020000047-31010000002-21010000045-100.00047111056565358067968067921681816398112.50%7185.71%01127217651.79%1032200551.47%43484251.54%12608591190391685344
18San Jose21100000550110000004221010000013-220.50051015105656535836796806792163166418225.00%3166.67%01127217651.79%1032200551.47%43484251.54%12608591190391685344
19Springfield11000000211000000000001100000021121.0002240056565354967968067921256415700.00%20100.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
20Syracuse11000000321110000003210000000000021.0003690056565353567968067921277817300.00%30100.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
21Texas21001000954100010006511100000030341.000916250156565357567968067921841924467228.57%11281.82%01127217651.79%1032200551.47%43484251.54%12608591190391685344
22Utica 11000000624110000006240000000000021.0006111700565653535679680679212864136233.33%20100.00%01127217651.79%1032200551.47%43484251.54%12608591190391685344
Total5225190520117015614271760300191642725813022007992-13630.60617030147123565653520576796806792118134804469242273615.86%1853581.08%01127217651.79%1032200551.47%43484251.54%12608591190391685344
_Since Last GM Reset5225190520117015614271760300191642725813022007992-13630.60617030147123565653520576796806792118134804469242273615.86%1853581.08%01127217651.79%1032200551.47%43484251.54%12608591190391685344
_Vs Conference251211001017682-615113000015538171018001002144-23260.52076137213005656535100567968067921887222193468991212.12%841977.38%01127217651.79%1032200551.47%43484251.54%12608591190391685344
_Vs Division844000002226-4642000002116520200000110-980.50022406200565653531967968067921301100631612926.90%27581.48%01127217651.79%1032200551.47%43484251.54%12608591190391685344

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5263W71703014712057181348044692423
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5225195201170156
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2717630019164
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2581322007992
Derniers 10 matchs
WLOTWOTL SOWSOL
900100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2273615.86%1853581.08%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
679680679215656535
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
1127217651.79%1032200551.47%43484251.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12608591190391685344


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
213Grand Rapids4Providence3LSommaire du match
729Bakersfield0Providence3WSommaire du match
1249Providence2Cleveland4LSommaire du match
1355Hershey4Providence6WSommaire du match
1775Providence4Lehigh Valley5LXSommaire du match
1881Laval2Providence4WSommaire du match
2194Providence1Laval5LSommaire du match
23105Hershey1Providence3WSommaire du match
26119Providence2Springfield1WSommaire du match
27129Hartford6Providence5LXXSommaire du match
31146Providence4Manitoba6LSommaire du match
33156Bridgeport1Providence2WSommaire du match
36173Providence2Hartford3LSommaire du match
37181Cleveland1Providence3WSommaire du match
41202Ontario2Providence1LSommaire du match
43214Providence5Iowa6LSommaire du match
46226Syracuse2Providence3WSommaire du match
48238Providence7Ontario3WSommaire du match
51251Providence2Hartford6LSommaire du match
52259San Diego2Providence0LSommaire du match
56277Hershey3Providence1LSommaire du match
60296Providence6Bakersfield3WSommaire du match
61302Texas5Providence6WXSommaire du match
64319Providence1San Jose3LSommaire du match
66328Laval1Providence2WSommaire du match
68339Providence7Iowa6WXSommaire du match
70347Providence4San Diego5LSommaire du match
72358Providence1Lehigh Valley4LSommaire du match
73365Coachella Valley0Providence1WSommaire du match
75382Ontario3Providence5WSommaire du match
78398Providence2Coachella Valley4LSommaire du match
79407Bridgeport1Providence3WSommaire du match
82425Abbotsford1Providence4WSommaire du match
84437Providence3Eagles1WSommaire du match
86448Providence5Coachella Valley3WSommaire du match
87457Charlotte5Providence3LSommaire du match
90470Providence0Laval5LSommaire du match
92478Providence3Hershey5LSommaire du match
93488Manitoba3Providence4WXSommaire du match
97502Providence2Hershey4LSommaire du match
98512Hartford3Providence5WSommaire du match
102532Bakersfield2Providence0LSommaire du match
104546Providence3Texas0WSommaire du match
106557Rockford2Providence3WXSommaire du match
108565Providence3Rockford4LXSommaire du match
110579Providence4Cleveland3WSommaire du match
111587Grand Rapids2Providence6WSommaire du match
114606Providence2Abbotsford1WXSommaire du match
116614Utica 2Providence6WSommaire du match
119631Iowa4Providence5WSommaire du match
121645Providence4Manitoba2WSommaire du match
123656San Jose2Providence4WSommaire du match
126673Providence-Charlotte-
128682Wilkes-Barre/Scranton-Providence-
132701Providence-Rochester-
133710Bakersfield-Providence-
136726Providence-Rochester-
137735Rochester-Providence-
140753Providence-Syracuse-
141760Syracuse-Providence-
144779Utica -Providence-
146786Providence-Utica -
150804Grand Rapids-Providence-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151812Providence-Bridgeport-
154827Charlotte-Providence-
156838Providence-Syracuse-
158853Cleveland-Providence-
160866Providence-Bridgeport-
162878Springfield-Providence-
164885Providence-Cleveland-
166896Providence-Utica -
168907Wilkes-Barre/Scranton-Providence-
170916Providence-Charlotte-
173931Lehigh Valley-Providence-
177949Providence-Wilkes-Barre/Scranton-
179957Rochester-Providence-
180965Providence-Grand Rapids-
184979Eagles-Providence-
185981Providence-Springfield-
188995Providence-Grand Rapids-
1921011Lehigh Valley-Providence-
1941025Providence-Wilkes-Barre/Scranton-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance40,75819,524
Assistance PCT75.48%72.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 2233 - 74.42% 131,181$3,541,886$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,186,604$ 2,009,300$ 2,009,300$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,304$ 1,232,768$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,836,533$ 71 17,996$ 1,277,716$




Providence 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
1MacKenzie Entwistle1364464108-10742102014419.98%20247618.21161632122000111342.36%00.8701
2Mark Arcobello136365086-14168213332711.01%15214215.75513186001102353.44%00.8012
3Noel Acciari5327386511328511120413.24%9107620.32910194400022153.75%01.2111
4Tyson Foerster452439631222616822610.62%790920.22313164510114144.55%21.3800
5Nathan Walker104273360-3254149813138.63%5147114.15812205200011147.86%10.8200

Providence 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
1Samuel Montembeault80303860.8993.49459312326726550150.50012
2Pavel Francouz35151620.8973.5419698111611300020.6679
3Anders Nilsson25131010.8963.42133220767300111.0002

Providence 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
2082323706700259262-3411915025001301151541132204200129147-1883259467726248886796260983388887117275581676113923436518.95%3275583.18%71646308953.29%1637311552.55%729132155.19%1952131419226271069539
235225190520117015614271760300191642725813022007992-136317030147123565653520576796806792118134804469242273615.86%1853581.08%01127217651.79%1032200551.47%43484251.54%12608591190391685344
Total Saison régulière134575601190142941811683621055012211794266213506400208239-3114642976811974714414213211466615121568155038456812961207231657010117.72%5129082.42%72773526552.67%2669512052.13%1163216353.77%32132173311210191755884
Séries éliminatoires
211165000004951-26420000030273523000001924-512498913810162012152616517517610498153105203511019.61%491079.59%430152757.12%27950055.80%12622256.76%2691822538314675
2240400000813-52020000057-22020000036-308152300134013552344361535053801100.00%21576.19%09816858.33%8716652.41%275846.55%9562106305426
Total Séries éliminatoires1569000005764-78440000035341725000002230-8125710416110172316166121720921916651203158283621016.13%701578.57%439969557.41%36666654.95%15328054.64%365245359114201102

Providence 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

Providence 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