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Guppies
GP: 24 | W: 9 | L: 13 | OTL: 2 | P: 20
GF: 67 | GA: 81 | PP%: 21.95% | PK%: 71.60%
DG: Matt Heitto | Morale : 50 | Moyenne d’équipe : 73
Prochains matchs #314 vs Schooners

Centre de jeu
Guppies
9-13-2, 20pts
1
8 Bulldogs
8-14-2, 18pts
Team Stats
L8SéquenceL1
6-5-0Fiche domicile6-5-0
3-8-2Fiche domicile2-9-2
0-9-1Derniers 10 matchs3-7-0
2.79Buts par match 2.96
3.38Buts contre par match 3.67
21.95%Pourcentage en avantage numérique20.93%
71.60%Pourcentage en désavantage numérique69.81%
Guppies
9-13-2, 20pts
2
5 Devils
17-5-2, 36pts
Team Stats
L8SéquenceW7
6-5-0Fiche domicile9-2-1
3-8-2Fiche domicile8-3-1
0-9-1Derniers 10 matchs8-1-1
2.79Buts par match 4.25
3.38Buts contre par match 2.88
21.95%Pourcentage en avantage numérique32.73%
71.60%Pourcentage en désavantage numérique73.08%
Schooners
10-10-4, 24pts
2026-07-26
Guppies
9-13-2, 20pts
Statistiques d’équipe
W1SéquenceL8
7-4-2Fiche domicile6-5-0
3-6-2Fiche visiteur3-8-2
4-5-110 derniers matchs0-9-1
3.04Buts par match 2.79
3.42Buts contre par match 2.79
29.41%Pourcentage en avantage numérique21.95%
78.85%Pourcentage en désavantage numérique71.60%
Kings
8-9-7, 23pts
2026-07-27
Guppies
9-13-2, 20pts
Statistiques d’équipe
W2SéquenceL8
5-4-4Fiche domicile6-5-0
3-5-3Fiche visiteur3-8-2
3-3-410 derniers matchs0-9-1
3.17Buts par match 2.79
3.58Buts contre par match 2.79
30.43%Pourcentage en avantage numérique21.95%
61.82%Pourcentage en désavantage numérique71.60%
Devils
17-5-2, 36pts
2026-07-29
Guppies
9-13-2, 20pts
Statistiques d’équipe
W7SéquenceL8
9-2-1Fiche domicile6-5-0
8-3-1Fiche visiteur3-8-2
8-1-110 derniers matchs0-9-1
4.25Buts par match 2.79
2.88Buts contre par match 2.79
32.73%Pourcentage en avantage numérique21.95%
73.08%Pourcentage en désavantage numérique71.60%
Meneurs d'équipe
Buts
Jeff Biagi
9
Passes
Casee Shone
13
Points
Casee Shone
19
Plus/Moins
Lloyd Methot
12
Victoires
Jesse Reino
6
Pourcentage d’arrêts
Jesse Reino
0.906

Statistiques d’équipe
Buts pour
67
2.79 GFG
Tirs pour
720
30.00 Avg
Pourcentage en avantage numérique
22.0%
9 GF
Début de zone offensive
37.6%
Buts contre
81
3.38 GAA
Tirs contre
810
33.75 Avg
Pourcentage en désavantage numérique
71.6%%
23 GA
Début de la zone défensive
34.9%
Informations de l'équipe

Directeur généralMatt Heitto
EntraîneurRuss Lucas
DivisionCentral
ConférenceWestern Conference
CapitaineLloyd Methot
Assistant #1Jeff Biagi
Assistant #2Fitch Lennie


Informations de l’aréna

Capacité5,000
Assistance4,560
Billets de saison1,250


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite Contrat45 / 55
Espoirs13


Historique d'équipe

Saison actuelle9-13-2 (20PTS)
Historique218-156-49 (0.515%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)2 - 8 (0.200%)
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
1Jeff Biagi (A)56X100.0079509497866793808147923878657725507503051,513,000$
2Johan Tujunen (R)0X100.0072595287869277555581766968626564507502021,000,000$
3Polikarp Chubykin (R)0X99.006959599186767857797074766955516650750203900,000$
4Cody Livermore (R)0X100.005434826792896366959340686684676550740212900,000$
5Damien Vefghi (R)0X100.006344596967996172427698837863656950740213800,000$
6Fitch Lennie (A)45X100.0086387361817482849140699582647449507302611,513,000$
7Hugh Byerly16X100.009256866625746565898372968395701507203911,413,000$
8Marty Millman (R)0X100.0070619472735777969256518434856856507202421,900,000$
9Norm Bona (R)0X100.0058586371779693607943579958844572507202151,213,000$
10Erik Blain36X100.0070469980865549906737528396885124506703041,013,000$
11Lars-Bjorn Haraldsson (R)0X100.0080356792587754588145418757744159506502411,013,000$
12Kazimierz Kijowski29X100.0039506192937762642580916646914411507603311,913,000$
13Curt Daae44X100.0098699197536681992551688288634621507603011,913,000$
14Nathaniel Amstrup (R)57X100.003558519297845860256963993455585550750231800,000$
15Lowell Hinkley (R)0X100.008856358196885994254948838072776350750222800,000$
16Timo Wolff (R)0X100.0061635377648981857680705770565376507402031,000,000$
17Lloyd Methot (R) (C)0X100.005749678952886880255772838553797050700213800,000$
Rayé
1Casee Shone (R)0X94.008331509939709194737856874464647150760222800,000$
2Ike Currer98X100.0082419986579873986788483643527832507503011,313,000$
3Damon Colclough6X90.9288477471866576828976507370933639507402831,313,000$
4Nate Gronsdahl (R)0X100.006957875555998469448857483230276850700222713,000$
5Otto-Emil Kytolehto75X100.0093418172587648885141449047688445506502811,313,000$
6Arttu-Sakari Laurinmaa (R)0X100.005845825928545592978243826869886550650241713,000$
7Jaxson Parker42X100.0046419996877054692582467649846731507203121,113,000$
MOYENNE D’ÉQUIPE99.33705073807078707762666277647061505072
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
1Jesse Reino2998.009190877371507692596771866051507602611,913,000$
2Pier Volpatti (R)0100.00578894946147947185489342556950740222800,000$
Rayé
1Marlon Benton (R)28100.00796499967342895564595130627150720222800,000$
MOYENNE D’ÉQUIPE99.3376819388684686736958725359645074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Russ Lucas82339381813285CAN4831,000,000$


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
1Casee ShoneGuppies (RAZ)LW2461319018062358033447.50%1347319.741234320001513141.67%36249000.8000000211
2Ike CurrerGuppies (RAZ)RW237916-9275391661213911.48%338216.62145630000012038.89%18163000.8400001101
3Polikarp ChubykinGuppies (RAZ)C2461016-27240454458101710.34%1244018.351231310000150148.19%496148000.7300242111
4Jeff BiagiGuppies (RAZ)LW249615555461672215512.50%138516.08235526000060035.29%17213000.7800010320
5Timo WolffGuppies (RAZ)D23312153371548383722128.11%1756424.56314432000246000%01114000.5300210010
6Damien VefghiGuppies (RAZ)RW247512340362547112714.89%743017.94000332000000037.50%32510000.5622000120
7Lowell HinkleyGuppies (RAZ)D2419102662076442310134.35%2851321.42011223000048000%0118000.3900112010
8Lloyd MethotGuppies (RAZ)D23281012141036433518145.71%3452522.86011031000156000%01521100.3800011001
9Damon ColcloughGuppies (RAZ)C21459600331639112010.26%627012.8800000000121052.35%17015000.6700000001
10Cody LivermoreGuppies (RAZ)C24369-411522502941610.34%839116.31112131000001061.24%307217000.4600010000
11Hugh ByerlyGuppies (RAZ)C24448-41210313234112111.76%928912.05000020003590156.45%12451000.5522011100
12Johan TujunenGuppies (RAZ)LW1744814020281130112513.33%721912.9101106000000025.00%1291000.7300112200
13Kazimierz KijowskiGuppies (RAZ)D24077-8643019443410150%3049920.80011129000018000%01719000.2800312000
14Fitch LennieGuppies (RAZ)RW246067181044202762222.22%1035914.97000000002560148.53%6809000.3300011020
15Curt DaaeGuppies (RAZ)D24156-65540374420192.27%3445018.7800002000161000%01011000.2700001001
16Marty MillmanGuppies (RAZ)RW24145-4001215259174.00%21978.220000000000000%253000.5100000000
17Nathaniel AmstrupGuppies (RAZ)D110220231541713430%1020318.5300006000014000%055000.2000012000
18Norm BonaGuppies (RAZ)LW24112-340192192711.11%326310.97000000000580066.67%916000.1500000000
19Lars-Bjorn HaraldssonGuppies (RAZ)C3011200782040%03812.9100000000000055.00%2002000.5200000000
20Jaxson ParkerGuppies (RAZ)D15000-5000107120%21288.570000000005000%01100000000000
21Erik BlainGuppies (RAZ)RW1000000002010%01515.530000000000000%20000000000000
22Nate GronsdahlGuppies (RAZ)LW7000-21754512730%18211.8500000000000020.00%51100000001000
Statistiques d’équipe totales ou en moyenne43265111176-64371956515477202423969.03%237712716.509172627321000115037451.59%1318164167100.49449141611106
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
1Jesse ReinoGuppies (RAZ)166710.9063.158770046491307001.0004158203
2Pier VolpattiGuppies (RAZ)113610.8903.6457700353192080000915100
Statistiques d’équipe totales ou en moyenne2791320.9003.34145500818105150042423303


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 Plafond 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
Arttu-Sakari LaurinmaaGuppies (RAZ)C242004-04-04FINYes211 Lbs6 ft1NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm713,000$71,300$51,414$No---------------------------
Casee Shone (sur la masse salariale)Guppies (RAZ)LW222006-04-05USAYes169 Lbs5 ft10NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$0$0$Yes800,000$--------800,000$--------No--------
Cody LivermoreGuppies (RAZ)C212007-08-27USAYes181 Lbs6 ft3NoNoDraftNoNo22025-10-15FalseFalsePro & Farm900,000$90,000$64,898$No900,000$--------900,000$--------No--------
Curt DaaeGuppies (RAZ)D301998-10-19CANNo203 Lbs6 ft2NoNoAssign Manually2024-01-31NoNo12025-09-28FalseFalsePro & Farm1,913,000$191,300$137,944$No---------------------------
Damien VefghiGuppies (RAZ)RW212007-09-20CANYes233 Lbs6 ft7NoNoProspectNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$57,687$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Damon Colclough (sur la masse salariale)Guppies (RAZ)C282000-06-13USANo222 Lbs6 ft8NoNoFree AgentNoNo32026-05-31FalseFalsePro & Farm1,313,000$0$0$Yes1,313,000$1,313,000$-------1,313,000$1,313,000$-------NoNo-------
Erik BlainGuppies (RAZ)RW301998-05-02USANo169 Lbs5 ft8NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm1,013,000$101,300$73,046$No1,013,000$1,013,000$1,013,000$------1,013,000$1,013,000$1,013,000$------NoNoNo------
Fitch LennieGuppies (RAZ)RW262002-01-12USANo233 Lbs6 ft5NoNoAssign Manually2025-05-14NoNo12025-09-28FalseFalsePro & Farm1,513,000$151,300$109,101$No---------------------------
Hugh ByerlyGuppies (RAZ)C391989-04-09USANo206 Lbs6 ft4NoNoFree Agent2024-11-06NoNo12026-06-03FalseFalsePro & Farm1,413,000$141,300$101,890$No---------------------------
Ike CurrerGuppies (RAZ)RW301998-02-05USANo207 Lbs6 ft4NoNoFree Agent2024-03-10NoNo12026-05-31FalseFalsePro & Farm1,313,000$131,300$94,679$No---------------------------
Jaxson ParkerGuppies (RAZ)D311997-06-02CANNo225 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,113,000$111,300$80,257$No1,113,000$--------1,113,000$--------No--------
Jeff BiagiGuppies (RAZ)LW301998-06-22CANNo186 Lbs5 ft10NoNoAssign ManuallyNoNo52026-05-03FalseFalsePro & Farm1,513,000$151,300$109,101$No1,513,000$1,513,000$1,513,000$1,513,000$-----1,513,000$1,513,000$1,513,000$1,513,000$-----NoNoNoNo-----
Jesse ReinoGuppies (RAZ)G262002-08-18FINNo181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,913,000$191,300$137,944$No---------------------------
Johan TujunenGuppies (RAZ)LW202008-12-27FINYes200 Lbs6 ft4NoNoDraftNoNo22025-10-15FalseFalsePro & Farm1,000,000$100,000$72,109$No1,000,000$--------1,000,000$--------No--------
Kazimierz KijowskiGuppies (RAZ)D331995-07-02POLNo248 Lbs6 ft6NoNoAssign Manually2025-03-09NoNo12026-05-02FalseFalsePro & Farm1,913,000$191,300$137,944$No---------------------------
Lars-Bjorn HaraldssonGuppies (RAZ)C242004-04-12SWEYes182 Lbs6 ft0NoNoFree AgentNoNo12025-02-22FalseFalsePro & Farm1,013,000$101,300$73,046$No---------------------------
Lloyd MethotGuppies (RAZ)D212007-10-03CANYes217 Lbs6 ft7NoNoProspectNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$57,687$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Lowell HinkleyGuppies (RAZ)D222006-09-09USAYes247 Lbs6 ft7NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$57,687$No800,000$--------800,000$--------No--------
Marlon BentonGuppies (RAZ)G222006-02-18CANYes224 Lbs6 ft7NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$57,687$No800,000$--------800,000$--------No--------
Marty MillmanGuppies (RAZ)RW242004-02-06CANYes239 Lbs6 ft8NoNoTrade2024-10-23NoNo22024-07-10FalseFalsePro & Farm1,900,000$190,000$137,007$No1,900,000$--------1,900,000$--------No--------
Nate GronsdahlGuppies (RAZ)LW222006-07-08CANYes189 Lbs5 ft10NoNoFree AgentNoNo22026-05-31FalseFalsePro & Farm713,000$71,300$51,414$No713,000$--------713,000$--------No--------
Nathaniel AmstrupGuppies (RAZ)D232005-12-28DENYes189 Lbs5 ft9NoNoTrade2025-11-06NoNo12025-02-17FalseFalsePro & Farm800,000$80,000$57,687$No---------------------------
Norm BonaGuppies (RAZ)LW212007-03-10CANYes201 Lbs6 ft3NoNoFree AgentNoNo52026-05-31FalseFalsePro & Farm1,213,000$121,300$87,468$No1,213,000$1,213,000$1,213,000$1,213,000$-----1,213,000$1,213,000$1,213,000$1,213,000$-----NoNoNoNo-----
Otto-Emil KytolehtoGuppies (RAZ)LW282000-08-09FINNo210 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-28FalseFalsePro & Farm1,313,000$131,300$94,679$No---------------------------
Pier VolpattiGuppies (RAZ)G222006-03-26CANYes228 Lbs6 ft4NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$57,687$No800,000$--------800,000$--------No--------
Polikarp ChubykinGuppies (RAZ)C202008-12-27RUSYes196 Lbs5 ft11NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$64,898$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Timo WolffGuppies (RAZ)D202008-12-27GERYes206 Lbs5 ft10NoNoProspectNoNo32026-05-09FalseFalsePro & Farm1,000,000$100,000$72,109$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.19207 Lbs6 ft32.111,155,370$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Polikarp ChubykinErik Blain35122
2Johan TujunenCody LivermoreDamien Vefghi32122
3Jeff BiagiLars-Bjorn HaraldssonFitch Lennie25122
4Norm BonaHugh ByerlyMarty Millman8122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timo WolffLloyd Methot35122
2Kazimierz KijowskiNathaniel Amstrup35122
3Lowell HinkleyCurt Daae20122
4Timo WolffCurt Daae10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Polikarp ChubykinDamien Vefghi50122
2Jeff BiagiCody LivermoreErik Blain50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johan TujunenTimo Wolff50122
2Lloyd MethotKazimierz Kijowski50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hugh ByerlyNorm Bona50122
2Fitch Lennie50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lloyd MethotLowell Hinkley50122
2Timo WolffCurt Daae50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Polikarp Chubykin50122Lloyd MethotNathaniel Amstrup50122
2Hugh Byerly50122Lowell HinkleyCurt Daae50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Polikarp Chubykin50122
2Cody LivermoreJeff Biagi50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kazimierz KijowskiCurt Daae50122
2Lloyd MethotLowell Hinkley50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Polikarp ChubykinDamien VefghiKazimierz KijowskiTimo Wolff
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Norm BonaHugh ByerlyFitch LennieLowell HinkleyLloyd Methot
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Polikarp Chubykin, Damien Vefghi, Hugh ByerlyPolikarp Chubykin, Damien VefghiPolikarp Chubykin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lowell Hinkley, Nathaniel Amstrup, Curt DaaeLowell HinkleyLowell Hinkley, Nathaniel Amstrup
Tirs de pénalité
Damien Vefghi, Hugh Byerly, Curt Daae, Polikarp Chubykin, Jeff Biagi
Gardien
#1 : Jesse Reino, #2 : Pier Volpatti
Lignes d’attaque personnalisées en prolongation
, Erik Blain, Jeff Biagi, Hugh Byerly, Polikarp Chubykin, Damien Vefghi, Lars-Bjorn Haraldsson, Cody Livermore, Fitch Lennie, Marty Millman
Lignes de défense personnalisées en prolongation
Timo Wolff, Kazimierz Kijowski, Curt Daae, Lloyd Methot, Lowell Hinkley


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
1Auroras1010000012-1000000000001010000012-100.0001230018272042223525023092911729200.00%10100.00%025749252.24%23345750.98%19036052.78%517298517213423210
2Bulldogs21100000611-5110000005321010000018-720.5006915001827204592352502309741685562150.00%10280.00%025749252.24%23345750.98%19036052.78%517298517213423210
3Crusaders10000010321100000103210000000000021.0003360018272043623525023092976403133.33%30100.00%025749252.24%23345750.98%19036052.78%517298517213423210
4Devils1010000025-3000000000001010000025-300.00023500182720434235250230939104028100.00%5260.00%025749252.24%23345750.98%19036052.78%517298517213423210
5Drillers3110001013103110000004132010001099040.66713213400182720487235250230992294076100.00%10370.00%025749252.24%23345750.98%19036052.78%517298517213423210
6Hornets30200100412-81010000016-52010010036-310.1674610001827204992352502309113304588200.00%10460.00%025749252.24%23345750.98%19036052.78%517298517213423210
7Hydra11000000422110000004220000000000021.0004711001827204352352502309371410245120.00%000%025749252.24%23345750.98%19036052.78%517298517213423210
8Jacks22000000624110000004131100000021141.00061117001827204682352502309602026553133.33%80100.00%025749252.24%23345750.98%19036052.78%517298517213423210
9Jazz1000010023-1000000000001000010023-110.5002460018272042823525023094517723000%10100.00%025749252.24%23345750.98%19036052.78%517298517213423210
10Kings220000001046110000006331100000041341.000101828001827204612352502309601638446350.00%4325.00%025749252.24%23345750.98%19036052.78%517298517213423210
11Outlaws1010000024-21010000024-20000000000000.00022400182720426235250230944144726000%6183.33%025749252.24%23345750.98%19036052.78%517298517213423210
12Phantoms30300000713-61010000036-32020000047-300.0007132000182720477235250230910330438511218.18%9455.56%025749252.24%23345750.98%19036052.78%517298517213423210
13Rock1010000035-21010000035-20000000000000.00036900182720430235250230925141023400.00%5260.00%025749252.24%23345750.98%19036052.78%517298517213423210
14Spartans1010000023-1000000000001010000023-100.000224001827204282352502309344627000%3166.67%025749252.24%23345750.98%19036052.78%517298517213423210
15Yeti1010000023-11010000023-10000000000000.0002460018272043023525023092652727100.00%6183.33%025749252.24%23345750.98%19036052.78%517298517213423210
Total24713002206781-14115500010373611328002103045-15200.41767111178001827204720235250230981023743765141921.95%812371.60%025749252.24%23345750.98%19036052.78%517298517213423210
_Since Last GM Reset24713002206781-14115500010373611328002103045-15200.41767111178001827204720235250230981023743765141921.95%812371.60%025749252.24%23345750.98%19036052.78%517298517213423210
_Vs Conference17510001104755-8734000002224-21026001102531-6130.3824780127001827204504235250230956616531345827622.22%591869.49%025749252.24%23345750.98%19036052.78%517298517213423210
_Vs Division706001001328-1520200000412-850400100916-710.0711323360018272042042352502309261779519613215.38%20860.00%025749252.24%23345750.98%19036052.78%517298517213423210

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2420L86711117872081023743765100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2471302206781
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115500103736
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
132802103045
Derniers 10 matchs
WLOTWOTL SOWSOL
090100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
41921.95%812371.60%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
23525023091827204
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
25749252.24%23345750.98%19036052.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
517298517213423210


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-06-143Hornets6Guppies1LSommaire du match
3 - 2026-06-1621Drillers1Guppies4WSommaire du match
4 - 2026-06-1729Guppies2Jacks1WSommaire du match
6 - 2026-06-1944Kings3Guppies6WSommaire du match
8 - 2026-06-2155Guppies5Drillers4WXXSommaire du match
10 - 2026-06-2376Guppies3Phantoms5LSommaire du match
12 - 2026-06-2585Crusaders2Guppies3WXXSommaire du match
13 - 2026-06-2697Jacks1Guppies4WSommaire du match
15 - 2026-06-28108Guppies2Hornets3LXSommaire du match
17 - 2026-06-30129Guppies1Phantoms2LSommaire du match
18 - 2026-07-01134Bulldogs3Guppies5WSommaire du match
20 - 2026-07-03148Guppies4Kings1WSommaire du match
22 - 2026-07-05159Hydra2Guppies4WSommaire du match
24 - 2026-07-07177Outlaws4Guppies2LSommaire du match
26 - 2026-07-09191Phantoms6Guppies3LSommaire du match
27 - 2026-07-10200Guppies2Jazz3LXSommaire du match
29 - 2026-07-12213Guppies1Hornets3LSommaire du match
31 - 2026-07-14229Rock5Guppies3LSommaire du match
33 - 2026-07-16242Yeti3Guppies2LSommaire du match
34 - 2026-07-17248Guppies1Auroras2LSommaire du match
36 - 2026-07-19269Guppies2Spartans3LSommaire du match
38 - 2026-07-21282Guppies4Drillers5LSommaire du match
40 - 2026-07-23293Guppies1Bulldogs8LSommaire du match
41 - 2026-07-24301Guppies2Devils5LSommaire du match
43 - 2026-07-26314Schooners-Guppies-
44 - 2026-07-27326Kings-Guppies-
46 - 2026-07-29341Devils-Guppies-
48 - 2026-07-31356Wolverines-Guppies-
50 - 2026-08-02369Comets-Guppies-
51 - 2026-08-03383Guppies-Swamp Puppies-
53 - 2026-08-05392Spartans-Guppies-
55 - 2026-08-07407Phantoms-Guppies-
57 - 2026-08-09420Wolfpack-Guppies-
58 - 2026-08-10431Northmen-Guppies-
60 - 2026-08-12447Guppies-Rock-
62 - 2026-08-14460Wolfpack-Guppies-
64 - 2026-08-16476Guppies-Schooners-
65 - 2026-08-17483Hornets-Guppies-
67 - 2026-08-19496Guppies-Comets-
69 - 2026-08-21509Guppies-Hornets-
71 - 2026-08-23522Devils-Guppies-
72 - 2026-08-24535Stingers-Guppies-
74 - 2026-08-26548Guppies-Hydra-
76 - 2026-08-28565Guppies-Outlaws-
78 - 2026-08-30584Guppies-Vipers-
79 - 2026-08-31586Jazz-Guppies-
81 - 2026-09-02603Guppies-Phantoms-
83 - 2026-09-04614Guppies-Devils-
85 - 2026-09-06629Swamp Puppies-Guppies-
86 - 2026-09-07642Guppies-Stingers-
88 - 2026-09-09651Rampage-Guppies-
90 - 2026-09-11665Auroras-Guppies-
92 - 2026-09-13682Guppies-Phantoms-
93 - 2026-09-14689Devils-Guppies-
96 - 2026-09-17713Guppies-Yeti-
97 - 2026-09-18717Devils-Guppies-
99 - 2026-09-20726Guppies-Auroras-
100 - 2026-09-21741Hornets-Guppies-
102 - 2026-09-23754Wild Wings-Guppies-
104 - 2026-09-25766Vipers-Guppies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27780Guppies-Crusaders-
107 - 2026-09-28790Phantoms-Guppies-
109 - 2026-09-30804Guppies-Kings-
111 - 2026-10-02816Auroras-Guppies-
113 - 2026-10-04833Guppies-Outlaws-
114 - 2026-10-05844Guppies-Wild Wings-
117 - 2026-10-08860Phantoms-Guppies-
118 - 2026-10-09870Guppies-Northmen-
121 - 2026-10-12889Guppies-Devils-
123 - 2026-10-14899Guppies-Hornets-
125 - 2026-10-16919Guppies-Rampage-
127 - 2026-10-18933Guppies-Wolfpack-
128 - 2026-10-19943Guppies-Wolverines-
131 - 2026-10-22954Guppies-Hornets-
132 - 2026-10-23959Outlaws-Guppies-
135 - 2026-10-26980Wolverines-Guppies-
137 - 2026-10-28992Hornets-Guppies-
139 - 2026-10-301003Guppies-Phantoms-
141 - 2026-11-011010Devils-Guppies-
144 - 2026-11-041027Guppies-Devils-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3515
Assistance29,94320,214
Assistance PCT90.74%91.88%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
29 4560 - 91.19% 159,689$1,756,579$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,142,746$ 2,908,200$ 2,908,200$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,908,200$ 863,831$ 25 2

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,630,981$ 106 26,586$ 2,818,116$




Guppies 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
1Jeff Biagi34610166167137454026193010.86%81505414.6120163658202419244.86%10.6616
2Coltyn Bergevin38931132163-295694646286274.94%467880822.651320335512315830%00.37714
3Ignac Tochacek24045111156-2624833847142710.54%116452718.878253339022410646.26%10.69314
4Daniil Mirnov3205084134-112567653945411.01%156624619.529213030022912254.34%00.43525
5Adrien Karygiannis1395364117314737519541812.68%50263618.97824322100028252.68%00.89310

Guppies 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
1Jesse Reino1919170220.9122.69110796149656373447660.76050
2Aldon Bartol1538053160.9142.62894410539145372717960.67956
3Pier Volpatti40191240.9092.762197011011115731220.85227
4Darin Callwood228910.9082.5211670249531288010.8577
5Jean-Daniel Desormeaux11000.9411.85650023416101.0003

Guppies 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
180262807775206202440161005531117100174010180224489102-13922063305363236867019228066584673676230480178118351584830.38%1734474.57%2714148548.08%697141049.43%549102253.72%169595116597551527753
280333104462197204-740151602322104111-74018150214093930921973225193241668015247577780986448234982073121551392618.71%1684573.21%1842165950.75%705136551.65%532104850.76%1790105616147181453717
380303205634214237-2340161304412121123-24014190122293114-21862143495633256698111224666277479046250681758319901994020.10%1855968.11%2710151146.99%685142248.17%554108850.92%170996516937271448730
4803027068542322284401913023211251071840111404533107121-149423239162331628178202321735799762542535833101020701412618.44%2153981.86%0763155848.97%718149747.96%555112149.51%170296917207311443706
5803325073752292121740161006251121962540171501124108116-810222936859743507392192392724813812882474787123820101684426.19%2044279.41%3867163653.00%760140354.17%621112655.15%1760102716767191447720
624713002206781-14115500010373611328002103045-152067111178001827204720235250230981023743765141921.95%812371.60%025749252.24%23345750.98%19036052.78%517298517213423210
Total Saison régulière42415915602930302011451164-19211876701917147625573522137289010131613520591-714861145187130161610263402421881243437984291419432112978429547801071184619322.81%102625275.44%84153834149.79%3798755450.28%3001576552.06%917552678883386677433838
Séries éliminatoires
240400000615-92020000037-42020000038-5069151022201102734490140634510210110.00%10280.00%14310341.75%418250.00%256140.98%794593356732
5624000002026-6312000001014-4312000001012-2420335300929015560325941565012815815640.00%14657.14%05511946.22%418548.24%478853.41%130721205511656
Total Séries éliminatoires1028000002641-15514000001321-8514000001320-74264268101141102658766108429611317326025728.00%24866.67%19822244.14%8216749.10%7214948.32%2101182139018388

Guppies 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
1Jeff Biagi10549101083613.89%113813.8502220001000%01.3000
2Casee Shone6257-802281414.29%510918.20000000000133.33%01.2800
3Coltyn Bergevin10156-4351713128.33%619819.8911210001000%00.6000
4Fitch Lennie632550178837.50%38614.4600000000000%01.1500
5Ignac Tochacek6145-10513121010.00%212420.68011000020041.46%00.8100

Guppies 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
1Aldon Bartol31100.8514.29140001067421000
2Pier Volpatti41210.8204.25226001689531000
3Jesse Reino40400.8993.532380014139900100