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Connexion

Springfield
GP: 79 | W: 37 | L: 36 | OTL: 6 | P: 80
GF: 262 | GA: 294 | PP%: 19.93% | PK%: 79.77%
DG: Olivier Coude | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #1005 vs Hershey

Centre de jeu
Providence
48-26-6, 102pts
7
1 Springfield
37-36-6, 80pts
Team Stats
SOL1SéquenceL3
28-9-3Fiche domicile17-20-3
20-17-3Fiche domicile20-16-3
4-4-2Derniers 10 matchs1-9-0
3.46Buts par match 3.32
2.99Buts contre par match 3.72
18.13%Pourcentage en avantage numérique19.93%
79.04%Pourcentage en désavantage numérique79.77%
Springfield
37-36-6, 80pts
4
7 Abbotsford
29-44-7, 65pts
Team Stats
L3SéquenceW1
17-20-3Fiche domicile16-22-2
20-16-3Fiche domicile13-22-5
1-9-0Derniers 10 matchs4-6-0
3.32Buts par match 2.94
3.72Buts contre par match 3.83
19.93%Pourcentage en avantage numérique14.51%
79.77%Pourcentage en désavantage numérique78.13%
Hershey
38-31-8, 84pts
Jour 191
Springfield
37-36-6, 80pts
Statistiques d’équipe
L1SéquenceL3
21-17-2Fiche domicile17-20-3
17-14-6Fiche visiteur20-16-3
6-4-010 derniers matchs1-9-0
3.22Buts par match 3.32
3.12Buts contre par match 3.32
19.57%Pourcentage en avantage numérique19.93%
81.75%Pourcentage en désavantage numérique79.77%
Springfield
37-36-6, 80pts
Jour 192
Texas
41-32-7, 89pts
Statistiques d’équipe
L3SéquenceW1
17-20-3Fiche domicile22-15-3
20-16-3Fiche visiteur19-17-4
1-9-010 derniers matchs7-3-0
3.32Buts par match 3.13
3.72Buts contre par match 3.13
19.93%Pourcentage en avantage numérique15.05%
79.77%Pourcentage en désavantage numérique82.03%
Springfield
37-36-6, 80pts
Jour 193
Eagles
49-25-6, 104pts
Statistiques d’équipe
L3SéquenceW3
17-20-3Fiche domicile26-12-2
20-16-3Fiche visiteur23-13-4
1-9-010 derniers matchs5-5-0
3.32Buts par match 3.41
3.72Buts contre par match 3.41
19.93%Pourcentage en avantage numérique18.18%
79.77%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Buts
Brendan Perlini
27
Passes
Wyatt Kalynuk
42
Points
Wyatt Kalynuk
58
Plus/Moins
Jordan Schroeder
5
Scott WedgewoodVictoires
Scott Wedgewood
9
Cam TalbotPourcentage d’arrêts
Cam Talbot
0.936

Statistiques d’équipe
Buts pour
262
3.32 GFG
Tirs pour
2736
34.63 Avg
Pourcentage en avantage numérique
19.9%
59 GF
Début de zone offensive
40.8%
Buts contre
294
3.72 GAA
Tirs contre
2952
37.37 Avg
Pourcentage en désavantage numérique
79.8%%
69 GA
Début de la zone défensive
40.2%
Informations de l'équipe

Directeur généralOlivier Coude
EntraîneurKris Knoblauch
DivisionCentrale
ConférenceConference ouest
CapitainePat Maroon
Assistant #1Bryan Little
Assistant #2Martin Hanzal


Informations de l’aréna

Capacité3,000
Assistance2,856
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs53


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
1Darren ArchibaldXX100.00763768588473876569616767736957255000341500,000$
2Nathan GerbeXX100.00743183546165866972626967778573155000361500,000$
3Derek StepanXXX100.007132916170839968696572708873593050003411,050,000$
4Pat Maroon (C)X100.00734071559369926366636553757977215000361500,000$
5Brett RitchieX98.00793473689973866669636857746554365000312500,000$
6Bryan Little (A)XX100.00763285557578986675656867799283235000361500,000$
7Jordan SchroederXX99.00642993687368807074666860766959345000331500,000$
8Martin Hanzal (A)X100.00682893459470706596646368818677265000371500,000$
9Sven AndrighettoXX100.00683487837278927069676857795942415000311500,000$
10Brendan PerliniXX100.007232837987779071757171608356505150002811,050,000$
11Drake CaggiulaXX100.00593199717982736671656866766362405000302725,000$
12Jayce HawrylukXX100.00752790767770746471636559765753415000281875,000$
13Marco ScandellaX100.00623481619182884650434886717574255000341500,000$
14Tyler LewingtonX100.00814942758678905653555586745849415000291900,000$
15Frederic AllardX100.00672796788278994070404184765250555000264850,000$
16Mark PysykX100.00603295698084865450495184746963445000322500,000$
17Dylan McIlrathX100.00875541629074764450454885716367365000321500,000$
18Wyatt KalynukX99.00703186847790755876545790805351605000272950,000$
Rayé
1Markus GranlundXXXHO7035998188819368706572689264585150003111,500,000$
2Dave BollandX90.66571792457363606471646468828786155000381500,000$
3Johan LarssonXXHO7239936974758970826572728770583750003121,300,000$
4Mason Lohrei (R)X100.00703096788985995950635487704343805000232700,000$
MOYENNE D’ÉQUIPE99.3971338467827686626860627178686138500
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
1Cam Talbot100.0066858279698687858581768383175000361500,000$
2Scott Wedgewood100.0065827879748382838281766666405000312500,000$
Rayé
MOYENNE D’ÉQUIPE100.006684807972858584848176757529500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kris Knoblauch67728671859380CAN4621,800,000$


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
1Justin DanforthSt. LouisC/RW72244064-23420861222407718810.00%13113515.7752025502080000103156.73%153900001.1301000315
2Wyatt KalynukSpringfield (STL)D79164258-1244079115220881627.27%168183023.17871511724401112351143.48%6900000.6304000122
3Matias MaccelliSt. LouisLW/RW562234561327554100256741928.59%7115120.5751217351740003695144.17%12000000.9712001443
4Brock FaberSt. LouisD5318365423754862150508812.00%111130224.5812820741780002135410%000000.8300010472
5Brendan PerliniSpringfield (STL)LW/RW7327265327115114552226314912.16%8137518.84481239220000055246.81%14100000.7736101523
6Mason LohreiSpringfield (STL)D78103646-91803887166591076.02%107166221.328101810322800022840040.00%1000000.5500000320
7Jordan SchroederSpringfield (STL)C/RW79123345522047107160441187.50%13139817.7111011312320000190150.42%190400000.6400000001
8Drake CaggiulaSpringfield (STL)LW/RW70202545-16203858208501229.62%16143820.56681451226000152376345.63%10300000.6300000264
9Tyler LewingtonSpringfield (STL)D66112637113952116812244729.02%91146322.1846106219501101820050.00%200100.5100001232
10Sven AndrighettoSpringfield (STL)LW/RW61132336-61958560165401177.88%4104517.14481236198000041140.54%7400000.6911010133
11Brett RitchieSpringfield (STL)RW78141933-841558491043110013.46%156828.7500000000001062.22%4500000.9700100022
12Bryan LittleSpringfield (STL)C/RW701219311200348697326012.37%1183411.920000301132501150.85%117000000.7422000210
13Pat MaroonSpringfield (STL)LW7391625-45715743078245211.54%886411.8400000000000051.72%5800000.5800102011
14Martin HanzalSpringfield (STL)C68111425-210038116107287910.28%29114316.8111223700042212060.01%153800000.4414000011
15Marco ScandellaSpringfield (STL)D6881422-1200314874204010.81%71100314.760114130000121057.89%3800000.4400000000
16Dylan McIlrathSpringfield (STL)D5951722-2417020141545217389.62%7595816.2400001000023010%200000.4600022112
17Dave BollandSpringfield (STL)C658111954017499625628.33%976611.79101110000271048.72%31200000.5003000000
18Mark PysykSpringfield (STL)D30014145801221232110%4647515.8300010000080000%000000.5900000000
19Darren ArchibaldSpringfield (STL)LW/RW409312560151735132425.71%73598.980000020271472056.00%2500100.6700000110
20Nathan GerbeSpringfield (STL)LW/RW296410-1128034156811408.82%1142714.7400000000040059.26%2700000.4700000011
21Jayce HawrylukSpringfield (STL)LW/RW27314-312019305310405.66%331811.8000000000000055.00%2000000.2500000000
22Frederic AllardSpringfield (STL)D4022100025330%26315.920000000000000%000000.6300000000
23Jackson LaCombeSt. LouisD1022-100101020%12727.530110200004000%000001.4500000000
Statistiques d’équipe totales ou en moyenne1299258457715-807977512741351270280518669.55%8262172816.73591001596062169235371955331353.56%719700200.66823347293832
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
1Mikko KoskinenSt. Louis36181340.9182.802121409912130320.66733622423
2Scott WedgewoodSpringfield (STL)139310.9143.0177720394520000.750161322200
3Cam TalbotSpringfield (STL)117210.9362.2062820233610000.7504109310
Statistiques d’équipe totales ou en moyenne60341860.9212.743527801612026032235953933


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Brendan PerliniSpringfield (STL)LW/RW281996-04-27ENGNo213 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,050,000$37,692$0$0$No---------------------------Lien
Brett RitchieSpringfield (STL)RW311993-06-01CANNo221 Lbs6 ft4NoNoFree AgentNoNo22025-11-01FalseFalsePro & Farm500,000$17,949$0$0$No500,000$--------500,000$--------No--------Lien
Bryan LittleSpringfield (STL)C/RW361987-11-12CANNo216 Lbs5 ft11NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------
Cam TalbotSpringfield (STL)G361987-07-05CANNo198 Lbs6 ft4NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien / Lien NHL
Darren ArchibaldSpringfield (STL)LW/RW341990-02-09CANNo213 Lbs6 ft3NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien
Dave BollandSpringfield (STL)C381986-06-05CANNo190 Lbs6 ft0NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien
Derek StepanSpringfield (STL)C/LW/RW341990-06-18USANo202 Lbs6 ft0NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm1,050,000$37,692$0$0$No---------------------------Lien
Drake CaggiulaSpringfield (STL)LW/RW301994-06-20CANNo176 Lbs5 ft10NoNoN/ANoNo22025-09-11FalseFalsePro & Farm725,000$26,026$0$0$No725,000$--------725,000$--------No--------
Dylan McIlrathSpringfield (STL)D321992-04-20CANNo238 Lbs6 ft5NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien
Frederic AllardSpringfield (STL)D261997-12-27CANNo179 Lbs6 ft1NoNoN/ANoNo42025-09-11FalseFalsePro & Farm850,000$30,513$0$0$No850,000$850,000$850,000$------850,000$850,000$850,000$------NoNoNo------
Jayce HawrylukSpringfield (STL)LW/RW281996-01-01CANNo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm875,000$31,410$0$0$No---------------------------Lien
Johan Larsson (contrat à 1 volet)Springfield (STL)C/LW311992-07-25SWENo201 Lbs5 ft11NoNoN/AYesYes2FalseFalsePro & Farm1,300,000$78,000$13,000$780$No1,300,000$--------1,300,000$--------No--------Lien
Jordan SchroederSpringfield (STL)C/RW331990-09-29USANo189 Lbs5 ft9NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien
Marco ScandellaSpringfield (STL)D341990-02-23CANNo211 Lbs6 ft3NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien / Lien NHL
Mark PysykSpringfield (STL)D321992-01-11CANNo206 Lbs6 ft1NoNoFree AgentNoNo22025-10-26FalseFalsePro & Farm500,000$17,949$0$0$No500,000$--------500,000$--------No--------Lien
Markus Granlund (contrat à 1 volet)Springfield (STL)C/LW/RW311993-04-16FINNo188 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm1,500,000$90,000$15,000$900$No---------------------------Lien
Martin HanzalSpringfield (STL)C371987-02-20CZENo230 Lbs6 ft6NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien
Mason LohreiSpringfield (STL)D232001-01-17USAYes211 Lbs6 ft5NoNoProspectNoNo22025-10-16FalseFalsePro & Farm700,000$25,128$0$0$No700,000$--------500,000$--------No--------
Nathan GerbeSpringfield (STL)LW/RW361987-07-24USANo175 Lbs5 ft6NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------
Pat MaroonSpringfield (STL)LW361988-04-23USANo227 Lbs6 ft3NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien / Lien NHL
Scott WedgewoodSpringfield (STL)G311992-08-14CANNo205 Lbs6 ft2NoNoFree AgentNoNo22025-10-26FalseFalsePro & Farm500,000$17,949$0$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Sven AndrighettoSpringfield (STL)LW/RW311993-03-21SWINo195 Lbs5 ft10NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien
Tyler LewingtonSpringfield (STL)D291994-12-05CANNo206 Lbs6 ft2NoNoN/ANoNo12025-09-11FalseFalsePro & Farm900,000$32,308$0$0$No---------------------------Lien
Wyatt KalynukSpringfield (STL)D271997-04-14CANNo180 Lbs6 ft1NoNoN/ANoNo22024-09-14FalseFalsePro & Farm950,000$34,103$0$0$No950,000$--------950,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2431.83203 Lbs6 ft11.42704,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan Schroeder35104
230113
325023
4Brett Ritchie10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt Kalynuk35113
230014
3Marco ScandellaDylan McIlrath25014
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan Schroeder50014
250014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt Kalynuk50113
250113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150131
250131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt Kalynuk50140
250140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150050Wyatt Kalynuk50140
25014050140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150113
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt Kalynuk50122
250113
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan SchroederWyatt Kalynuk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Wyatt Kalynuk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Wyatt Kalynuk, Marco Scandella,
Tirs de pénalité
, , Wyatt Kalynuk, ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Jordan Schroeder, , , , Brett Ritchie,
Lignes de défense personnalisées en prolongation
, , Wyatt Kalynuk, , Marco Scandella


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
1Abbotsford413000001521-620200000512-721100000109120.2501525400094936910169886894928511625127681119.09%11281.82%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
2Bakersfield531001001817121100000660320001001211170.70018365400949369101758868949285118861468325312.00%22386.36%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
3Bridgeport31200000910-1211000007521010000025-320.333913220094936910117886894928519125434114214.29%11281.82%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
4Charlotte3120000078-1110000004222020000036-320.33371219109493691093886894928511174538501200.00%18383.33%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
5Cleveland22000000954110000004221100000053241.00091524009493691075886894928516417163013538.46%8362.50%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
6Coachella Valley503000201719-230100020109120200000710-340.40017274400949369101638868949285118046728311327.27%24579.17%11643296855.36%1511292651.64%728138452.60%1837123719105961034512
7Eagles30300000415-112020000028-61010000027-500.00046101094936910105886894928511393229431417.14%12375.00%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
8Grand Rapids2010010036-31010000013-21000010023-110.2503580094936910648868949285168221841500.00%9188.89%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
9Hartford220000001165110000004131100000075241.00011223300949369107588689492851921918329444.44%9366.67%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
10Hershey412010001418-4201010009902110000059-440.50014274100949369101358868949285114835248511218.18%12466.67%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
11Iowa514000002033-1320200000418-14312000001615120.20020385800949369101918868949285120655387313430.77%18666.67%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
12Laval22000000826110000004131100000041341.0008152300949369108088689492851812612297228.57%6183.33%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
13Lehigh Valley22000000743110000003121100000043141.0007132000949369106288689492851792320297114.29%10280.00%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
14Manitoba4210000115123210000017612110000086250.62515264100949369101628868949285113238386511218.18%19478.95%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
15Ontario521001011821-330100101815-722000000106460.60018314900949369101768868949285117659619523730.43%26773.08%11643296855.36%1511292651.64%728138452.60%1837123719105961034512
16Providence30300000616-102020000029-71010000047-300.000611170094936910778868949285116342435610220.00%20765.00%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
17Rochester211000006601010000045-11100000021120.50061016009493691074886894928517014143213215.38%60100.00%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
18Rockford52200010161422200000072530200010912-360.60016264200949369101558868949285116548718823417.39%24291.67%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
19San Diego403010001015-52020000048-42010100067-120.25010192900949369101298868949285115052367115213.33%17194.12%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
20San Jose430000101697220000008442100001085381.00016294500949369101398868949285113743365912325.00%17288.24%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
21Syracuse21100000911-21010000058-31100000043120.5009162500949369106988689492851852416283266.67%7271.43%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
22Texas31200000911-2211000007701010000024-220.33391524009493691085886894928519943375015320.00%16475.00%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
23Utica 22000000624110000003121100000031241.000612180094936910638868949285143161629500.00%60100.00%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
24Wilkes-Barre/Scranton31100100913-41010000038-52100010065130.5009132200949369101038868949285111724565314428.57%13284.62%01643296855.36%1511292651.64%728138452.60%1837123719105961034512
Total79313602442262294-3240142001122121150-2939171601320141144-3800.5062624627242094936910273688689492851295286082513132965919.93%3416979.77%21643296855.36%1511292651.64%728138452.60%1837123719105961034512
_Since Last GM Reset79313602442262294-3240142001122121150-2939171601320141144-3800.5062624627242094936910273688689492851295286082513132965919.93%3416979.77%21643296855.36%1511292651.64%728138452.60%1837123719105961034512
_Vs Conference47152301242158187-2924712001226895-2723811011209092-2440.468158278436109493691016498868949285117345284917781733319.08%2063981.07%21643296855.36%1511292651.64%728138452.60%1837123719105961034512
_Vs Division20612000116485-211045000012741-141027000103744-7150.37564111175109493691069888689492851741216213319761418.42%891978.65%01643296855.36%1511292651.64%728138452.60%1837123719105961034512

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7980L326246272427362952860825131320
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7931362442262294
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4014201122121150
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3917161320141144
Derniers 10 matchs
WLOTWOTL SOWSOL
190000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2965919.93%3416979.77%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
8868949285194936910
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
1643296855.36%1511292651.64%728138452.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1837123719105961034512


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
28Ontario4Springfield3LXXSommaire du match
420Springfield5Bakersfield4WSommaire du match
832Coachella Valley4Springfield5WXXSommaire du match
1251Hershey4Springfield5WXSommaire du match
1564Springfield3Wilkes-Barre/Scranton1WSommaire du match
1880Coachella Valley3Springfield4WXXSommaire du match
2089Springfield3Rockford2WXXSommaire du match
2193Springfield2Iowa4LSommaire du match
24109Springfield1Charlotte2LSommaire du match
26119Providence2Springfield1LSommaire du match
28131Springfield4Ontario2WSommaire du match
30141San Jose2Springfield5WSommaire du match
32148Springfield4San Jose3WXXSommaire du match
33160Springfield4Hershey3WSommaire du match
36171Springfield3Manitoba4LSommaire du match
37178Rockford1Springfield3WSommaire du match
40196Texas5Springfield2LSommaire du match
42208Springfield3Utica 1WSommaire du match
44219San Jose2Springfield3WSommaire du match
49242Springfield4Laval1WSommaire du match
50246Cleveland2Springfield4WSommaire du match
54265Springfield1Coachella Valley3LSommaire du match
55272Utica 1Springfield3WSommaire du match
58290Rockford1Springfield4WSommaire du match
61305Springfield6Ontario4WSommaire du match
63314Springfield7Iowa3WSommaire du match
64320Eagles3Springfield1LSommaire du match
68337Bridgeport4Springfield3LSommaire du match
72360Manitoba1Springfield3WSommaire du match
74372Springfield2Bridgeport5LSommaire du match
76386Bridgeport1Springfield4WSommaire du match
78400Springfield4Bakersfield3WSommaire du match
79408San Diego4Springfield2LSommaire du match
82423Springfield3Rockford4LSommaire du match
83433Springfield4San Jose2WSommaire du match
85441Bakersfield3Springfield2LSommaire du match
88460Springfield2Rochester1WSommaire du match
89464Texas2Springfield5WSommaire du match
93485Coachella Valley2Springfield1LSommaire du match
97507Ontario5Springfield4LXSommaire du match
101528Springfield5Cleveland3WSommaire du match
103533Springfield4Syracuse3WSommaire du match
104540Bakersfield3Springfield4WSommaire du match
107558Laval1Springfield4WSommaire du match
109574Springfield3Bakersfield4LXSommaire du match
110582Hartford1Springfield4WSommaire du match
113601Springfield2San Diego4LSommaire du match
114608Rochester5Springfield4LSommaire du match
117624Springfield2Charlotte4LSommaire du match
119632Grand Rapids3Springfield1LSommaire du match
123653Ontario6Springfield1LSommaire du match
125668Springfield3Wilkes-Barre/Scranton4LXSommaire du match
127678Springfield4Lehigh Valley3WSommaire du match
128683Manitoba5Springfield4LXXSommaire du match
131694Springfield5Manitoba2WSommaire du match
133708Lehigh Valley1Springfield3WSommaire du match
135718Springfield2Grand Rapids3LXSommaire du match
137731Charlotte2Springfield4WSommaire du match
138742Springfield2Texas4LSommaire du match
140756Eagles5Springfield1LSommaire du match
142766Springfield7Hartford5WSommaire du match
145782Syracuse8Springfield5LSommaire du match
149799Springfield4San Diego3WXSommaire du match
150807Abbotsford7Springfield2LSommaire du match
153825Springfield1Hershey6LSommaire du match
154832San Diego4Springfield2LSommaire du match
156842Springfield3Rockford6LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158855Wilkes-Barre/Scranton8Springfield3LSommaire du match
160864Springfield6Coachella Valley7LSommaire du match
162878Springfield4Providence7LSommaire du match
164886Abbotsford5Springfield3LSommaire du match
167905Iowa9Springfield2LSommaire du match
168908Springfield2Eagles7LSommaire du match
171923Springfield7Iowa8LSommaire du match
174936Iowa9Springfield2LSommaire du match
176944Springfield6Abbotsford2WSommaire du match
180962Hershey5Springfield4LSommaire du match
185981Providence7Springfield1LSommaire du match
187990Springfield4Abbotsford7LSommaire du match
1911005Hershey-Springfield-
1921009Springfield-Texas-
1931018Springfield-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4225
Assistance76,15038,071
Assistance PCT95.19%95.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2856 - 95.18% 140,065$5,602,600$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,273,604$ 1,410,000$ 1,390,000$ 1,800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,128$ 1,515,151$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
140,065$ 7 16,462$ 115,234$




Springfield 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

Springfield 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

Springfield 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

Springfield 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

Springfield 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