Devils

GP: 10 | W: 5 | L: 5 | OTL: 0 | P: 10
GF: 24 | GA: 19 | PP%: 9.80% | PK%: 91.89%
DG: Thomas Perron-Bibeau | Morale : 51 | Moyenne d'Équipe : 63
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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 SP
1Nate ThompsonX100.008042876179739159786258775985752539650
2Robert Thomas (R)XX100.005337896972738368727463576660628439640
3Christian FischerX100.008144876683738465526467546665627738630
4Josh LeivoXX100.005749826479768963546266596371686053630
5Tyler Benson (R)X100.005838866472939163796855595561636453630
6Klim KostinX100.007143725986939057615654635960628053610
7German Rubtsov (R)X100.005935956476746963705862596461638253610
8Martin Necas (R)XX100.005736906378807060716259585560628753600
9Michael McLeod (R)X100.007144826078826859726454585261638552600
10Alexandre FortinX100.005935946071786659565960585563645453590
11Remi ElieX100.008136885981736256535857595867647353590
12Dmitry Sokolov (R)X100.005335955866918757525658535761636853590
13Dmitry KulikovX100.007848766278837361306856745277696843670
14Rasmus AnderssonX100.006443866780819265306658675365637453660
15Nathan BeaulieuX100.007261736680826164307157635273677151650
16Filip HronekX100.006842836571847264307362635863627253640
17Reece WillcoxX100.007136905687928955305651584569656053630
18Libor Hajek (R)X100.006037885881886958305456624661637653610
Rayé
1Sebastian Repo (R)X100.007138855986928958535657595865636251610
2Gabriel GagneX100.006836925587908556575452585365636240590
3Jakob Stukel (R)X100.006138845871706756535961586268635851590
4Ty Dellandrea (R)X100.006336905975727358695657596059628051590
5Sheldon RempalX100.005336925863796957585956605467645236580
6Hunter ShinkarukX100.005436905667908554505253555669657840570
7Dylan CoghlanX100.006236915877939057305954564961635751620
8Roland McKeownX100.006239835676939156305752544565637140610
9Niklas HanssonX100.005737885673928956305552544667646140600
MOYENNE D'ÉQUIPE100.00654087617783795951615760556664684861
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 SP
1Connor Ingram100.00797169807877797877797863676748730
2Tom McCollum100.00747573847372747372747378844353730
Rayé
1Richard Bachman100.00766866677574767574767580864040720
2Ville Husso100.00687371846766686766686767717240670
MOYENNE D'ÉQUIPE100.0074727079737274737274737277564571
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle77797176938751CAN6243,000,000$


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'ÉquipePOS GP 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
1Josh LeivoDevils (New)LW/RW1053824013123542614.29%023123.1900010420000301053.49%8600000.6900000200
2Rasmus AnderssonDevils (New)D10358-140911185916.67%823723.772241443000030000.00%000000.6700000011
3Tyler BensonDevils (New)LW105382203143841513.16%021921.981129410001321076.92%1300010.7300000110
4Nathan BeaulieuDevils (New)D103250181023131441121.43%622922.912131042000026100.00%000000.4400011001
5Reece WillcoxDevils (New)D100553809410360.00%520920.92000736000024000.00%000000.4800000010
6Sebastian RepoDevils (New)RW9235-2601841221216.67%017018.950111390000151037.50%800000.5900000001
7Filip HronekDevils (New)D10044340611155140.00%822422.400111141000028000.00%000000.3600000000
8Alexandre FortinDevils (New)LW1012320078208125.00%110910.9900000000090021.43%1400000.5500000010
9Klim KostinDevils (New)RW100331100139145150.00%417817.89011337000000063.64%1100000.3400000001
10German RubtsovDevils (New)C10033-140423224200.00%118718.740004430001160054.34%21900000.3200000000
11Martin NecasDevils (New)C/RW1021304011141831111.11%115615.66000311000041060.00%14500000.3800000000
12Dmitry SokolovDevils (New)RW10112-22031017185.88%013413.4300000000000033.33%900000.3000000001
13Jakob StukelDevils (New)LW91124003152120.00%0262.9900024000030050.00%2600001.4900000000
14Libor HajekDevils (New)D10022160873230.00%614714.7300000000010000.00%000000.2700000000
15Dmitry KulikovDevils (New)D1011100000010.00%02424.050000300003000.00%000000.8300000000
16Remi ElieDevils (New)LW10011-120857260.00%0767.6900000000000066.67%300000.2600000000
17Nate ThompsonDevils (New)C1011220282030.00%12020.7200013000020050.00%2600000.9700000000
18Michael McLeodDevils (New)C10011-423510159180.00%014814.82011023000040053.64%15100000.1300100000
19Robert ThomasDevils (New)C/RW1011200112100.00%02121.680000300002000.00%300000.9200000000
20Ty DellandreaDevils (New)C91012002450320.00%0293.2400000000000141.67%2400000.6900000100
21Christian FischerDevils (New)RW1000100042030.00%01616.8500014000010050.00%200000.0000000000
22Dylan CoghlanDevils (New)D9000-280833130.00%113214.760000200002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1802443671310715161181271571908.86%42293416.3058137642600022495153.78%74000010.4600111445
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
1Connor IngramDevils (New)94500.8962.2450802191820100.000091100
2Tom McCollumDevils (New)21001.0000.0094010250000.000019001
Stats d'équipe Total ou en Moyenne115500.9081.8960203192070100.00001010101


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alexandre FortinDevils (New)LW221997-02-25No184 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Christian FischerDevils (New)RW221997-04-15No214 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$NoLien
Connor IngramDevils (New)G221997-03-31No196 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Dmitry KulikovDevils (New)D281990-10-29No204 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Dmitry SokolovDevils (New)RW211998-04-14Yes221 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Dylan CoghlanDevils (New)D211998-02-19No190 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm0$0$NoLien
Filip HronekDevils (New)D211997-11-02No170 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$NoLien
Gabriel GagneDevils (New)RW221996-11-11No186 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$NoLien
German RubtsovDevils (New)C211998-06-27Yes178 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Hunter ShinkarukDevils (New)LW241994-10-13No181 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Jakob StukelDevils (New)LW221997-03-06Yes182 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Josh LeivoDevils (New)LW/RW261993-05-26No192 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
Klim KostinDevils (New)RW201999-05-05No212 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Libor HajekDevils (New)D211998-02-04Yes204 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Martin NecasDevils (New)C/RW201999-01-15Yes189 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Michael McLeodDevils (New)C211998-02-03Yes188 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Nate ThompsonDevils (New)C341984-10-05No207 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Nathan BeaulieuDevils (New)D261992-12-05No200 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
Niklas HanssonDevils (New)D241995-01-08No180 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Rasmus AnderssonDevils (New)D221996-10-27No214 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$NoLien
Reece WillcoxDevils (New)D251994-03-20No205 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Remi ElieDevils (New)LW241995-04-16No215 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Richard BachmanDevils (New)G311987-07-25No183 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm750,000$0$0$NoLien
Robert ThomasDevils (New)C/RW201999-07-02Yes188 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Roland McKeownDevils (New)D231996-01-20No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Sebastian RepoDevils (New)RW231996-06-23Yes211 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Sheldon RempalDevils (New)RW231995-08-07No165 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Tom McCollumDevils (New)G291989-12-07No220 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm750,000$0$0$NoLien
Ty DellandreaDevils (New)C182000-07-21Yes190 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm0$0$NoLien
Tyler BensonDevils (New)LW211998-03-15Yes190 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Ville HussoDevils (New)G241995-02-06No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.26195 Lbs6 ft12.90541,935$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Josh LeivoNate ThompsonRobert Thomas40122
2Tyler BensonGerman RubtsovChristian Fischer30122
3Remi ElieMartin NecasKlim Kostin20122
4Alexandre FortinMichael McLeodDmitry Sokolov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry KulikovRasmus Andersson40122
2Nathan BeaulieuFilip Hronek30122
3Reece WillcoxLibor Hajek20122
4Dmitry KulikovRasmus Andersson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Josh LeivoNate ThompsonRobert Thomas60122
2Tyler BensonGerman RubtsovChristian Fischer40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry KulikovRasmus Andersson60122
2Nathan BeaulieuFilip Hronek40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nate ThompsonRobert Thomas60122
2Christian FischerJosh Leivo40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry KulikovRasmus Andersson60122
2Nathan BeaulieuFilip Hronek40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nate Thompson60122Dmitry KulikovRasmus Andersson60122
2Robert Thomas40122Nathan BeaulieuFilip Hronek40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nate ThompsonRobert Thomas60122
2Christian FischerJosh Leivo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry KulikovRasmus Andersson60122
2Nathan BeaulieuFilip Hronek40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Josh LeivoNate ThompsonRobert ThomasDmitry KulikovRasmus Andersson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Josh LeivoNate ThompsonRobert ThomasDmitry KulikovRasmus Andersson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Klim Kostin, Martin Necas, Michael McLeodKlim Kostin, Martin NecasMichael McLeod
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Reece Willcox, Libor Hajek, Nathan BeaulieuReece WillcoxLibor Hajek, Nathan Beaulieu
Tirs de Pénalité
Nate Thompson, Robert Thomas, Christian Fischer, Josh Leivo, Tyler Benson
Gardien
#1 : Tom McCollum, #2 : Connor Ingram


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
LigueDomicileVisiteur
# 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
1Monsters2020000047-31010000013-21010000034-100.000481200109414410192771541025369111.11%9277.78%018632357.59%14228150.53%7013452.24%2671932186911762
2Phantoms21001000624110000003031000100032141.000611170110941551019277131316201417.14%80100.00%018632357.59%14228150.53%7013452.24%2671932186911762
3Rocket1010000013-21010000013-20000000000000.000112001094126101927711641311600.00%4175.00%018632357.59%14228150.53%7013452.24%2671932186911762
4Sound Tigers22000000312110000002111100000010141.0003580110941511019277144102233700.00%90100.00%018632357.59%14228150.53%7013452.24%2671932186911762
5Thunderbirds11000000808000000000001100000080821.000816240110941511019277111217314125.00%10100.00%018632357.59%14228150.53%7013452.24%2671932186911762
Total104501000241955230000089-15220100016106100.500244367031094127110192771207421071615159.80%37391.89%018632357.59%14228150.53%7013452.24%2671932186911762
7Wolf Pack2020000026-41010000012-11010000014-300.000224001094144101927715113143011218.18%60100.00%018632357.59%14228150.53%7013452.24%2671932186911762
_Since Last GM Reset104501000241955230000089-15220100016106100.500244367031094127110192771207421071615159.80%37391.89%018632357.59%14228150.53%7013452.24%2671932186911762
_Vs Conference834010001516-14220000076141201000810-280.50015264102109411941019277118036771194149.76%32293.75%018632357.59%14228150.53%7013452.24%2671932186911762
_Vs Division234010009361220000013-21120100080882.0009172601109417710192771276304210110.00%5180.00%018632357.59%14228150.53%7013452.24%2671932186911762

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1010W42443672712074210716103
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
104510002419
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
523000089
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52210001610
Derniers 10 Matchs
WLOTWOTL SOWSOL
451000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
5159.80%37391.89%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
1019277110941
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
18632357.59%14228150.53%7013452.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2671932186911762


Derniers Match 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
2 - 2019-09-0313Wolf Pack2Devils1LSommaire du Match
3 - 2019-09-0425Devils1Wolf Pack4LSommaire du Match
6 - 2019-09-0744Monsters3Devils1LSommaire du Match
7 - 2019-09-0850Devils3Phantoms2WXSommaire du Match
10 - 2019-09-1177Rocket3Devils1LSommaire du Match
11 - 2019-09-1289Devils3Monsters4LSommaire du Match
13 - 2019-09-14106Devils8Thunderbirds0WSommaire du Match
15 - 2019-09-16118Sound Tigers1Devils2WSommaire du Match
16 - 2019-09-17129Devils1Sound Tigers0WSommaire du Match
18 - 2019-09-19143Phantoms0Devils3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 168,000$ 18,890$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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