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Twins
GP: 72 | W: 28 | L: 34 | OTL: 10 | P: 66
GF: 187 | GA: 225 | PP%: 12.64% | PK%: 86.71%
DG: David Hardy | Morale : 90 | Moyenne d’équipe : 58
Prochains matchs #1130 vs Hunters

Centre de jeu
Smirnoff Ice
32-30-11, 75pts
1
2 Twins
28-34-10, 66pts
Team Stats
W1SéquenceW1
16-15-5Fiche domicile17-15-5
16-15-6Fiche domicile11-19-5
5-4-1Derniers 10 matchs7-2-1
2.33Buts par match 2.60
2.84Buts contre par match 3.13
14.81%Pourcentage en avantage numérique12.64%
86.09%Pourcentage en désavantage numérique86.71%
Xpress
44-22-7, 95pts
1
3 Twins
28-34-10, 66pts
Team Stats
L1SéquenceW1
24-8-4Fiche domicile17-15-5
20-14-3Fiche domicile11-19-5
6-3-1Derniers 10 matchs7-2-1
3.86Buts par match 2.60
3.34Buts contre par match 3.13
15.88%Pourcentage en avantage numérique12.64%
84.56%Pourcentage en désavantage numérique86.71%
Twins
28-34-10, 66pts
Jour 91
Hunters
36-27-10, 82pts
Statistiques d’équipe
W1SéquenceOTL1
17-15-5Fiche domicile19-12-5
11-19-5Fiche visiteur17-15-5
7-2-110 derniers matchs6-1-3
2.60Buts par match 3.53
3.13Buts contre par match 3.53
12.64%Pourcentage en avantage numérique16.80%
86.71%Pourcentage en désavantage numérique84.72%
Twins
28-34-10, 66pts
Jour 93
Vipers
38-26-4, 80pts
Statistiques d’équipe
W1SéquenceL2
17-15-5Fiche domicile22-12-2
11-19-5Fiche visiteur16-14-2
7-2-110 derniers matchs3-5-2
2.60Buts par match 3.56
3.13Buts contre par match 3.56
12.64%Pourcentage en avantage numérique16.48%
86.71%Pourcentage en désavantage numérique85.01%
Twins
28-34-10, 66pts
Jour 94
Goons
21-37-11, 53pts
Statistiques d’équipe
W1SéquenceL3
17-15-5Fiche domicile14-15-7
11-19-5Fiche visiteur7-22-4
7-2-110 derniers matchs4-4-2
2.60Buts par match 2.13
3.13Buts contre par match 2.13
12.64%Pourcentage en avantage numérique14.33%
86.71%Pourcentage en désavantage numérique86.01%
Meneurs d'équipe
Max PaciorettyButs
Max Pacioretty
18
Dennis GilbertPasses
Dennis Gilbert
23
Max PaciorettyPoints
Max Pacioretty
31
Plus/Moins
Cameron Lund
7
Tristan LennoxVictoires
Tristan Lennox
17
Tristan LennoxPourcentage d’arrêts
Tristan Lennox
0.921

Statistiques d’équipe
Buts pour
187
2.60 GFG
Tirs pour
1998
27.75 Avg
Pourcentage en avantage numérique
12.6%
45 GF
Début de zone offensive
40.0%
Buts contre
225
3.13 GAA
Tirs contre
2294
31.86 Avg
Pourcentage en désavantage numérique
86.7%%
40 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralDavid Hardy
EntraîneurKirk Muller
DivisionDivision Ouest
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,994
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite Contrat46 / 50
Espoirs80


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
1Jiri Kulich (R)X100.006045878361747561765270626881730906502152,000,000$
2Oskar Back (R)X96.005445927973598854825354706685740906402551,000,000$
3Max PaciorettyX97.009945837977684559305861556896870906303611,500,000$
4Rodrigo AbolsX98.00724590787550405488515755668976090600295950,000$
5Tyson JostX97.00734872805652475475515862668774090600271850,000$
6Jonathan Lekkerimaki (R)X98.006145938348634055305060587680700905702151,200,000$
7Brennan Othmann (R)X99.00914593776050404930475062508269090560225900,000$
8Cameron Lund (R)X100.00534590786658405130445859658069090560212875,000$
9Oliver Moore (R)X100.005245908056684053305650606680710905602051,200,000$
10Owen Beck (R)X98.00724595766450404730445057658168090540215850,000$
11Ryan SheaX97.005745857571704751304656756588790906402852,000,000$
12Dennis GilbertX100.00965748777150405330575072668875090640284900,000$
13Owen Pickering (R)X98.005745887869624051304755746581700906202151,000,000$
14Luca Cagnoni (R)X100.005045847943744049304850665080720905802051,200,000$
15David Farrance (R)X100.00504595776050404530405055508471090560263875,000$
16Markus NiemelainenX100.00504595776050404530405055508471090560271850,000$
17Sean Day (R)X100.00504595736050404530405055508572090550271850,000$
Rayé
1Justin Hryckowian (R)X100.00544595766050404730445055508471090530245900,000$
2Joakim Kemell (R)X100.00504595785352404530405060508067090520215975,000$
3Noah Ostlund (R)X100.005045927950534045304050555081690905202151,100,000$
4Ryan Suzuki (R)X100.00504595766450404530405055508370090520245800,000$
5Austin WagnerX100.00504595776050404530405055508574090520284875,000$
6Tyler Angle (R)X100.00504595804450404530405055508370090510245850,000$
MOYENNE D’ÉQUIPE99.0461468978615744503946536059847209057
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
1Tristan Lennox (R)97.0070506086707070707070708269090610222875,000$
2Felix Sandstrom100.0070404085656565656565658775090580284875,000$
Rayé
1Carter Hart100.00704040826565656565656585770905802721,000,000$
MOYENNE D’ÉQUIPE99.007043478467676767676767857409059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller65656565927456CAN6111,000,000$


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
1Max PaciorettyTwins (LAK)LW51181331344015863125338514.40%7100119.64437361840111942036.71%7900000.6225000783
2Dennis GilbertTwins (LAK)D6162329-81235234778538627.06%56112018.38459501800110910245.65%4600000.5200100555
3Denton MateychukLos Angeles KingsD3731821-314053747726573.90%5086923.50358581430000104110%000000.4801000211
4Cameron LundTwins (LAK)RW421192070034266134816.67%572817.3422416154000043041.49%9400100.5511000134
5Ryan SheaTwins (LAK)D4361319-516052417822497.69%5597922.78268401680002115010%000000.3900000213
6Oliver MooreTwins (LAK)LW6171017-23120137363245511.11%2280813.2600014000061039.66%17900000.4200000223
7Rodrigo AbolsTwins (LAK)C264131744010523082313.33%448818.791568891011501065.72%56600000.7014000121
8Jonathan LekkerimakiTwins (LAK)RW479716-7100316385216210.59%577616.52459371950000212043.03%16500100.4102000312
9Luca CagnoniTwins (LAK)D5621416-29395103624112274.88%55104818.731235320111581023.97%12100000.3100000061
10Owen PickeringTwins (LAK)D3861016-102054960193610.00%4680021.07459361300110102010%100000.4000000211
11Jiri KulichTwins (LAK)C196915-260285156142910.71%345724.101454740003551163.07%50100000.6634000201
12Oskar BackTwins (LAK)LW385813-77522477917506.33%972419.060551115100021141172.83%9200000.3605100111
13Tyson JostTwins (LAK)C416511-2200289160164010.00%569717.0201112731011591061.79%70400000.3224000014
14Markus NiemelainenTwins (LAK)D593710-1628049411351223.08%3197116.460001170000231041.09%20200000.2100000113
15Brennan OthmannTwins (LAK)LW48268-1853576595014314.00%475415.720002180000150038.14%19400000.2100001102
16Noah OstlundTwins (LAK)C25437-16609412561616.00%538215.2900000000001036.89%45000000.3700000321
17Owen BeckTwins (LAK)C35156-161404034215224.76%752815.1100026000030043.75%36800000.2300000010
18Justin HryckowianTwins (LAK)LW46224-161201433398195.13%154411.8400001000000050.00%4000000.1500000013
19Ryan SuzukiTwins (LAK)RW15112-6000712368.33%020613.7500002000000036.84%3800000.1900000000
20Joakim KemellTwins (LAK)RW2000-120134110%02613.450000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne790102176278-17141220929100310693057309.54%3701391817.6226487431916302461192316751.24%384100200.40926201333739
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
1Tristan LennoxTwins (LAK)36171360.9212.412193238811160100.667273601032
2Felix SandstromTwins (LAK)102800.8763.765740036291000001035103
Statistiques d’équipe totales ou en moyenne46192160.9122.6927682312414070102746351135


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
Austin WagnerTwins (LAK)RW281997-06-23CANNo195 Lbs6 ft1NoNoN/ANoNo42026-03-08FalseFalsePro & Farm875,000$145,833$0$0$No875,000$875,000$875,000$------875,000$875,000$875,000$------NoNoNo------Lien NHL
Brennan OthmannTwins (LAK)LW222003-01-05CANYes186 Lbs6 ft0NoNoN/ANoNo52026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----Lien NHL
Cameron LundTwins (LAK)RW212004-06-07USAYes195 Lbs6 ft2NoNoProspectNoNo22026-03-08FalseFalsePro & Farm875,000$145,833$0$0$No875,000$--------875,000$--------No--------
Carter HartTwins (LAK)G271998-08-13CANNo181 Lbs6 ft2NoNoTrade2025-09-11NoNo22026-03-08FalseFalsePro & Farm1,000,000$166,667$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
David FarranceTwins (LAK)D261999-06-23USAYes189 Lbs5 ft11NoNoN/ANoNo32026-03-08FalseFalsePro & Farm875,000$145,833$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Dennis GilbertTwins (LAK)D281996-10-30USANo216 Lbs6 ft2NoNoN/ANoNo42026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien NHL
Felix SandstromTwins (LAK)G281997-01-12SWENo191 Lbs6 ft2NoNoN/ANoNo42026-03-08FalseFalsePro & Farm875,000$145,833$0$0$No875,000$875,000$875,000$------875,000$875,000$875,000$------NoNoNo------Lien NHL
Jiri KulichTwins (LAK)C212004-04-14CZEYes186 Lbs6 ft1NoNoN/ANoNo52026-03-08FalseFalsePro & Farm2,000,000$333,333$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$-----2,000,000$2,000,000$2,000,000$2,000,000$-----NoNoNoNo-----Lien NHL
Joakim KemellTwins (LAK)RW212004-04-27USAYes182 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm975,000$162,500$0$0$No975,000$975,000$975,000$975,000$-----975,000$975,000$975,000$975,000$-----NoNoNoNo-----Lien NHL
Jonathan LekkerimakiTwins (LAK)RW212004-07-24USAYes172 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm1,200,000$200,000$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$-----1,200,000$1,200,000$1,200,000$1,200,000$-----NoNoNoNo-----Lien NHL
Justin HryckowianTwins (LAK)LW242001-02-23FINYes195 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----Lien NHL
Luca CagnoniTwins (LAK)D202004-12-21CHEYes180 Lbs5 ft9NoNoDraftNoNo52026-03-08FalseFalsePro & Farm1,200,000$200,000$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$-----1,200,000$1,200,000$1,200,000$1,200,000$-----NoNoNoNo-----Lien NHL
Markus NiemelainenTwins (LAK)D271998-06-08FINNo190 Lbs6 ft6NoNoN/ANoNo12026-03-08FalseFalsePro & Farm850,000$141,667$0$0$No---------------------------
Max PaciorettyTwins (LAK)LW361988-11-20USANo217 Lbs6 ft2NoNoTrade2024-11-26NoNo12026-03-08FalseFalsePro & Farm1,500,000$250,000$0$0$No---------------------------Lien NHL
Noah OstlundTwins (LAK)C212004-03-11SWEYes175 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm1,100,000$183,333$0$0$No1,100,000$1,100,000$1,100,000$1,100,000$-----1,100,000$1,100,000$1,100,000$1,100,000$-----NoNoNoNo-----Lien NHL
Oliver MooreTwins (LAK)LW202005-01-22USAYes188 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm1,200,000$200,000$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$-----1,200,000$1,200,000$1,200,000$1,200,000$-----NoNoNoNo-----Lien NHL
Oskar BackTwins (LAK)LW252000-03-12SWEYes202 Lbs6 ft4NoNoProspectNoNo52026-03-08FalseFalsePro & Farm1,000,000$166,667$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$-----1,000,000$1,000,000$1,000,000$1,000,000$-----NoNoNoNo-----Lien NHL
Owen BeckTwins (LAK)C212004-02-03CANYes191 Lbs5 ft11NoNoN/ANoNo52026-03-08FalseFalsePro & Farm850,000$141,667$0$0$No850,000$850,000$850,000$850,000$-----850,000$850,000$850,000$850,000$-----NoNoNoNo-----Lien NHL
Owen PickeringTwins (LAK)D212004-01-27CANYes200 Lbs6 ft5NoNoProspectNoNo52026-03-08FalseFalsePro & Farm1,000,000$166,667$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$-----1,000,000$1,000,000$1,000,000$1,000,000$-----NoNoNoNo-----Lien NHL
Rodrigo AbolsTwins (LAK)C291996-01-05LVANo206 Lbs6 ft4NoNoProspectNoNo52026-03-08FalseFalsePro & Farm950,000$158,333$0$0$No950,000$950,000$950,000$950,000$-----950,000$950,000$950,000$950,000$-----NoNoNoNo-----Lien NHL
Ryan SheaTwins (LAK)D281997-02-11USANo200 Lbs6 ft2NoNoN/ANoNo52026-03-08FalseFalsePro & Farm2,000,000$333,333$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$-----2,000,000$2,000,000$2,000,000$2,000,000$-----NoNoNoNo-----Lien NHL
Ryan SuzukiTwins (LAK)RW242001-05-28CANYes196 Lbs6 ft1NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$133,333$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Sean DayTwins (LAK)D271998-01-09BELYes218 Lbs6 ft3NoNoN/ANoNo12026-03-08FalseFalsePro & Farm850,000$141,667$0$0$No---------------------------
Tristan LennoxTwins (LAK)G222002-10-21CANYes193 Lbs6 ft3NoNoTrade2025-09-12NoNo22026-03-08FalseFalsePro & Farm875,000$145,833$0$0$No875,000$--------875,000$--------No--------Lien NHL
Tyler AngleTwins (LAK)RW242000-09-30CANYes166 Lbs5 ft10NoNoN/ANoNo52026-03-08FalseFalsePro & Farm850,000$141,667$0$0$No850,000$850,000$850,000$850,000$-----850,000$850,000$850,000$850,000$-----NoNoNoNo-----
Tyson JostTwins (LAK)C271998-03-14CANNo187 Lbs5 ft11NoNoN/ANoNo12026-03-08FalseFalsePro & Farm850,000$141,667$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.58192 Lbs6 ft13.851,048,077$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oskar BackJonathan Lekkerimaki35122
2Max PaciorettyRodrigo AbolsCameron Lund30122
3Brennan OthmannTyson JostOliver Moore25122
4Owen Beck10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Shea35122
2Dennis GilbertOwen Pickering30122
325122
4Ryan Shea10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oskar BackJonathan Lekkerimaki55122
2Max PaciorettyRodrigo AbolsCameron Lund45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Shea55122
2Dennis GilbertOwen Pickering45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar Back55122
2Rodrigo AbolsMax Pacioretty45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Shea55122
2Dennis GilbertOwen Pickering45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155122Ryan Shea55122
2Rodrigo Abols45122Dennis GilbertOwen Pickering45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar Back55122
2Rodrigo AbolsMax Pacioretty45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Shea55122
2Dennis GilbertOwen Pickering45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oskar BackJonathan LekkerimakiRyan Shea
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max PaciorettyRodrigo AbolsCameron LundDennis GilbertOwen Pickering
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyson Jost, Jonathan Lekkerimaki, Cameron LundTyson Jost, Jonathan LekkerimakiTyson Jost
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Owen Pickering, , Owen PickeringOwen Pickering,
Tirs de pénalité
, Oskar Back, Max Pacioretty, Rodrigo Abols, Tyson Jost
Gardien
#1 : Tristan Lennox, #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicile Visiteur
# 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 RI
1Bandits412000101013-31000001032131200000711-440.5001016260171506111936736236814713348618117211.76%28582.14%01224233352.46%1287245052.53%536104951.10%179112671716499857435
2Barracudas211000006511010000034-11100000031220.50061016007150611138673623681478320234810330.00%7185.71%01224233352.46%1287245052.53%536104951.10%179112671716499857435
3Bayou20200000611-51010000025-31010000046-200.0006101600715061116467362368147851712331317.69%5180.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
4Chiwawa2010010046-21000010034-11010000012-110.250471100715061113867362368147552120407114.29%9188.89%01224233352.46%1287245052.53%536104951.10%179112671716499857435
5CoolFm311001001011-11010000015-42100010096330.500101727007150611177673623681478228304520420.00%14285.71%01224233352.46%1287245052.53%536104951.10%179112671716499857435
6Farmers2110000036-32110000036-30000000000020.500369007150611168673623681474362133900.00%80100.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
7Goons3110000178-1211000006601000000112-130.50071421007150611110467362368147741633611600.00%13284.62%01224233352.46%1287245052.53%536104951.10%179112671716499857435
8Grizzlies321000008802110000057-21100000031240.667814220071506111906736236814711131306517317.65%14192.86%01224233352.46%1287245052.53%536104951.10%179112671716499857435
9Hunters2110000067-1110000002111010000046-220.5006111700715061117267362368147741918581317.69%7185.71%01224233352.46%1287245052.53%536104951.10%179112671716499857435
10Husky2010010058-3000000000002010010058-310.2505914007150611190673623681476116224410110.00%90100.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
11Igloos31100010862100000103212110000054140.667812200171506111766736236814710827284819210.53%13284.62%01224233352.46%1287245052.53%536104951.10%179112671716499857435
12Marlies3110010078-12010010035-21100000043130.500711180071506111816736236814710732306914214.29%14192.86%01224233352.46%1287245052.53%536104951.10%179112671716499857435
13Marmots211000006511010000023-11100000042220.500610160071506111626736236814737112034900.00%10280.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
14Outlaws20100010440100000103211010000012-120.50045900715061114467362368147741218439111.11%9188.89%01224233352.46%1287245052.53%536104951.10%179112671716499857435
15Predateurs2110000048-41010000007-71100000041320.500481200715061116467362368147672924458112.50%110100.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
16Raptors2110000056-1110000003121010000025-320.500581300715061115467362368147632118311000.00%8187.50%01224233352.46%1287245052.53%536104951.10%179112671716499857435
17Rockets311000011215-31100000054120100001711-430.5001223350071506111776736236814713432466010220.00%17382.35%11224233352.46%1287245052.53%536104951.10%179112671716499857435
18Sags3020000125-32010000113-21010000012-110.16724600715061116867362368147451624591100.00%12283.33%11224233352.46%1287245052.53%536104951.10%179112671716499857435
19Scorpions30200100610-41010000024-22010010046-210.16761117007150611166673623681471112034629222.22%14285.71%01224233352.46%1287245052.53%536104951.10%179112671716499857435
20Smirnoff Ice31101000523100010002112110000031240.6675712017150611178673623681474713105211218.18%5180.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
21Snowbirds31200000713-621100000610-41010000013-220.3337121900715061111096736236814711728347815426.67%15566.67%01224233352.46%1287245052.53%536104951.10%179112671716499857435
22Spartans2020000027-51010000015-41010000012-100.000246007150611135673623681475913249900.00%10100.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
23Supreme20100100610-41000010034-11010000036-310.2506111700715061114367362368147872420308112.50%100100.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
24Thugs30200100917-820100100810-21010000017-610.16791625007150611179673623681471312932711218.33%16381.25%01224233352.46%1287245052.53%536104951.10%179112671716499857435
25TigersCats321000001091220000008621010000023-140.667102030007150611186673623681471003033572428.33%8187.50%01224233352.46%1287245052.53%536104951.10%179112671716499857435
26Vandals22000000624110000002111100000041341.000610160071506111546736236814727112376116.67%40100.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
27Vipers11000000422110000004220000000000021.0004610007150611136673623681472064178112.50%2150.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
28Warriors1010000035-2000000000001010000035-200.000358007150611126673623681471929307114.29%2150.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
29Wolves201010007701010000034-11000100043120.50071421007150611162673623681477428224713215.38%100100.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
30Xpress22000000918220000009180000000000041.00091524017150611164673623681476616125312433.33%60100.00%01224233352.46%1287245052.53%536104951.10%179112671716499857435
Total72233402733187225-383713150143196115-193510190130291110-19660.4581873265130471506111199867362368147229461270214803564512.64%3014086.71%21224233352.46%1287245052.53%536104951.10%179112671716499857435
_Since Last GM Reset72233402733187225-383713150143196115-193510190130291110-19660.4581873265130471506111199867362368147229461270214803564512.64%3014086.71%21224233352.46%1287245052.53%536104951.10%179112671716499857435
_Vs Conference337190141178113-351849003114466-2215310011003447-13230.3487813621400715061118546736236814710982852996901481912.84%1331886.47%11224233352.46%1287245052.53%536104951.10%179112671716499857435
_Vs Division1356010103739-2724000101725-86320100020146140.5383763100007150611136267362368147430113115270671014.93%48491.67%01224233352.46%1287245052.53%536104951.10%179112671716499857435

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7266W118732651319982294612702148004
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7223342733187225
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
371315143196115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
351019130291110
Derniers 10 matchs
WLOTWOTL SOWSOL
521110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3564512.64%3014086.71%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
6736236814771506111
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
1224233352.46%1287245052.53%536104951.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
179112671716499857435


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
14Twins2Husky3LXSommaire du match
226Snowbirds7Twins2LSommaire du match
333Twins3Bandits0WSommaire du match
555Farmers1Twins3WSommaire du match
665Twins4Hunters6LSommaire du match
786Goons2Twins5WSommaire du match
9108TigersCats5Twins6WSommaire du match
10111Twins6CoolFm2WSommaire du match
11121Twins3Rockets6LSommaire du match
12143Twins3Bandits8LSommaire du match
13152Grizzlies6Twins3LSommaire du match
15173Twins4Igloos0WSommaire du match
16184Snowbirds3Twins4WSommaire du match
17202Twins3Smirnoff Ice0WSommaire du match
18214Sags1Twins0LXXSommaire du match
20235Thugs5Twins4LSommaire du match
22257Twins0Smirnoff Ice1LSommaire du match
23270Scorpions4Twins2LSommaire du match
24288Farmers5Twins0LSommaire du match
25302Twins3Barracudas1WSommaire du match
26314Twins1Goons2LXXSommaire du match
27328Twins1Bandits3LSommaire du match
28338Goons4Twins1LSommaire du match
30362Twins4Vandals1WSommaire du match
31370Chiwawa4Twins3LXSommaire du match
32392Rockets4Twins5WSommaire du match
34413Grizzlies1Twins2WSommaire du match
35426Twins1Sags2LSommaire du match
36438Twins1Spartans2LSommaire du match
37449Bandits2Twins3WXXSommaire du match
39470Twins3Supreme6LSommaire du match
40482Hunters1Twins2WSommaire du match
41499Twins4Rockets5LXXSommaire du match
42516Raptors1Twins3WSommaire du match
43534Twins3Warriors5LSommaire du match
44544Igloos2Twins3WXXSommaire du match
45559Twins1Chiwawa2LSommaire du match
46574Twins1Igloos4LSommaire du match
47585Vandals1Twins2WSommaire du match
49611Marlies2Twins1LSommaire du match
50625Twins4Marlies3WSommaire du match
51641Supreme4Twins3LXSommaire du match
52656Twins2TigersCats3LSommaire du match
53670Spartans5Twins1LSommaire du match
54685Twins1Outlaws2LSommaire du match
56702Bayou5Twins2LSommaire du match
57722Twins3Husky5LSommaire du match
58732CoolFm5Twins1LSommaire du match
59752Twins4Bayou6LSommaire du match
60763Sags2Twins1LSommaire du match
62786Twins4Predateurs1WSommaire du match
63792Twins1Snowbirds3LSommaire du match
64803Marlies3Twins2LXSommaire du match
65823Wolves4Twins3LSommaire du match
67847Xpress0Twins6WSommaire du match
68855Twins2Scorpions3LXSommaire du match
69874Twins1Thugs7LSommaire du match
70885Twins2Scorpions3LSommaire du match
71893Twins4Wolves3WXSommaire du match
72903Predateurs7Twins0LSommaire du match
74924Thugs5Twins4LXSommaire du match
76949Marmots3Twins2LSommaire du match
77958Twins4Marmots2WSommaire du match
78977Twins3Grizzlies1WSommaire du match
79989Barracudas4Twins3LSommaire du match
801005Twins3CoolFm4LXSommaire du match
811014Outlaws2Twins3WXXSommaire du match
831036Twins2Raptors5LSommaire du match
841050TigersCats1Twins2WSommaire du match
861074Vipers2Twins4WSommaire du match
891098Smirnoff Ice1Twins2WXSommaire du match
901119Xpress1Twins3WSommaire du match
911130Twins-Hunters-
931148Twins-Vipers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
941149Twins-Goons-
951168Husky-Twins-
981194Snowbirds-Twins-
1011215Warriors-Twins-
1021233Twins-Farmers-
1031235Twins-Marmots-
1061251Warriors-Twins-
1071260Twins-Xpress-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance73,85436,935
Assistance PCT99.80%99.82%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
4 2994 - 99.81% 101,803$3,766,698$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,169,831$ 2,725,000$ 2,725,000$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,333,346$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
407,211$ 18 34,491$ 620,838$




Twins 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

Twins 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

Twins 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

Twins 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

Twins 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