TUSCON Roadrunners

GP: 73 | W: 25 | L: 44 | OTL: 4 | P: 54
GF: 264 | GA: 411 | PP%: 8.33% | PK%: 81.88%
DG: | Morale : 95 | Moyenne d'Équipe : 59
Prochain matchs #952 vs HOLLYWOOD Oscar
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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
1Tage Thompson0XX100.006735736493758663666263596354518089670
2Saku Maenalanen (R)0X100.006635706688636765546161586251505687640
3Alan Quine95XX100.005435707075565669686768536954514783620
4Ryan Kuffner0X100.005535775976765559506060606050504488610
5Adam Helewka34X100.005389687077505070506464506450504384600
6Filip Chlapik0X100.005235676877535268696363526351507387600
7German Rubtsov (R)0X100.005089736776505067706262526250504489590
8Kristian Vesalainen (R)0X100.005735726585545265505757525750508388590
9Adam Brooks (R)0X100.005089667056505070706464506450504487580
10Daniel Zaar46X100.004735777266474368306460505558517984580
11Glenn Gawdin (R)0X100.005189607076505070705757515750504466580
12Sheldon Rempal0X100.005035676963535369506161516250504388580
13Fredrik Claesson44X100.007944806477806864306160776756525081670
14Slater Koekkoek15X100.007235786379746562306058716554518386650
15Jacob Larsson (R)0X100.006235766180708461305650656152518088630
16Josh Teves (R)0X100.009835775068745050305355655850504389590
17Nicolas Hague (R)0X100.006689646795505067305247595750504489590
18Jared Cowen2X100.008552786090544756304620784862606389580
Rayé
1Graham Knott75X100.005489676082485060705353505350504430560
2Mitch Hults10X100.005789726382505063705252505250504241560
3Deven Sideroff (R)0X100.005089726067505060505050505050504430540
4Andreas Borgman0X100.005489636577505065304944505452514333550
5Nolan Stevens (R)0X100.005289706380505063505146515650504433550
6Jalen Chatfield (R)0X100.005089705775465057304540505050504421520
MOYENNE D'ÉQUIPE100.00606171647857556449575556595251547259
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
1Adin Hill100.00797880937877797877787351656588690
2Sam Brittain100.00455062776052505150525562516389500
Rayé
MOYENNE D'ÉQUIPE100.0062647185696565656465645758648960
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau79858480939344CAN6421,000,000$


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
1Alan QuineTUSCON Roadrunners (ARZ)C/LW73675612359175741373959627016.96%57119716.401129722026933263.77%90800082.0501001946
2Adam HelewkaTUSCON Roadrunners (ARZ)LW732756835033568562325718211.64%3488212.09000040000243059.15%7100021.8800001054
3Tage ThompsonTUSCON Roadrunners (ARZ)C/RW423741787116068662777418213.36%486720.6614515621238944167.70%83900051.8013000752
4Daniel ZaarTUSCON Roadrunners (ARZ)RW5420436334803145201531359.95%2479914.81213834000001055.56%5400011.5800000042
5Slater KoekkoekTUSCON Roadrunners (ARZ)D73143953946015281154461049.09%141132818.2013438100011180100.00%000100.8000000121
6Fredrik ClaessonTUSCON Roadrunners (ARZ)D2511223326180532367175616.42%4160024.024152765022165220.00%000001.1000000222
7Michael AmadioARIZONA CoyotesC2213142715602139105196712.38%344620.2834712491016610163.45%47600011.2103000131
8Ryan KuffnerTUSCON Roadrunners (ARZ)LW291017271880232193309410.75%553818.5804412650112381145.45%3300001.0000000020
9Jacob LarssonTUSCON Roadrunners (ARZ)D4732326389512225820325.17%2579316.891341962011079000.00%000000.6500001011
10Saku MaenalanenTUSCON Roadrunners (ARZ)RW297182528120552310129796.93%453418.4211211671013341054.67%7500000.9413000101
11Filip ChlapikTUSCON Roadrunners (ARZ)C48812201917531368224649.76%04729.84000260000112061.02%43100000.8500001203
12Sheldon RempalTUSCON Roadrunners (ARZ)RW29812202460152175184610.67%342914.8300010000000045.00%2000000.9300000010
13Mitch HultsTUSCON Roadrunners (ARZ)C1814317-14803840121368511.57%4935719.840112430001110057.34%35400030.9500000101
14Jared CowenTUSCON Roadrunners (ARZ)D2911415243204421265153.85%1844615.4000001011018000.00%000000.6700000000
15German RubtsovTUSCON Roadrunners (ARZ)C2967131300111751163311.76%12689.24000332000002066.37%22300010.9700000100
16Josh TevesTUSCON Roadrunners (ARZ)D297613323757193993117.95%2157319.79112655000056100.00%000000.4500001111
17Nicolas HagueTUSCON Roadrunners (ARZ)D29391216140151724131812.50%1346115.90000311000023100.00%000000.5200000001
18Kristian VesalainenTUSCON Roadrunners (ARZ)LW2926898019143111306.45%32348.0700000000021044.44%900000.6800000000
19Adam BrooksTUSCON Roadrunners (ARZ)C291454401392413214.17%01485.12011538000020056.12%9800000.6700000000
20Glenn GawdinTUSCON Roadrunners (ARZ)C32244202071928.57%03210.85000000001100100.00%200002.4600000000
Stats d'équipe Total ou en Moyenne739261404665479301258166972163587155312.07%4461141315.4415254017377458132970023762.93%3593001211.17210005263026
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
1Adin HillTUSCON Roadrunners (ARZ)35181340.9201.84211628658170220.6679350303
Stats d'équipe Total ou en Moyenne35181340.9201.84211628658170220.6679350303


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
Adam BrooksTUSCON Roadrunners (ARZ)C231996-05-06Yes80 Kg155 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Adam HelewkaTUSCON Roadrunners (ARZ)LW241995-07-21No91 Kg185 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Adin HillTUSCON Roadrunners (ARZ)G231996-05-11No92 Kg198 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Alan QuineTUSCON Roadrunners (ARZ)C/LW261993-02-25No92 Kg183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Andreas BorgmanTUSCON Roadrunners (ARZ)D241995-06-18No96 Kg183 CMNoNoNo5Avec RestrictionPro & Farm750,000$0$0$NoLien
Daniel ZaarTUSCON Roadrunners (ARZ)RW251994-04-24No81 Kg183 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Deven SideroffTUSCON Roadrunners (ARZ)RW221997-04-14Yes78 Kg180 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Filip ChlapikTUSCON Roadrunners (ARZ)C221997-06-03No89 Kg185 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Fredrik ClaessonTUSCON Roadrunners (ARZ)D261992-11-24No89 Kg185 CMNoNoNo2Avec RestrictionPro & Farm950,000$0$0$NoLien
German RubtsovTUSCON Roadrunners (ARZ)C211998-06-27Yes81 Kg188 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Glenn GawdinTUSCON Roadrunners (ARZ)C221997-03-25Yes87 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Graham KnottTUSCON Roadrunners (ARZ)C221997-01-13No87 Kg191 CMNoNoNo1Avec RestrictionPro & Farm735,000$0$0$NoLien
Jacob LarssonTUSCON Roadrunners (ARZ)D221997-04-29Yes90 Kg188 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Jalen ChatfieldTUSCON Roadrunners (ARZ)D231996-05-16Yes85 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Jared CowenTUSCON Roadrunners (ARZ)D281991-01-25No108 Kg196 CMNoNoNo1Sans RestrictionPro & Farm750,000$0$0$No
Josh TevesTUSCON Roadrunners (ARZ)D241995-02-18Yes77 Kg183 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Kristian VesalainenTUSCON Roadrunners (ARZ)LW201999-06-01Yes94 Kg191 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Mitch HultsTUSCON Roadrunners (ARZ)C231995-11-13No95 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Nicolas HagueTUSCON Roadrunners (ARZ)D201998-12-05Yes98 Kg198 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Nolan StevensTUSCON Roadrunners (ARZ)D231996-07-22Yes83 Kg191 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Ryan KuffnerTUSCON Roadrunners (ARZ)LW231996-06-12No89 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Saku MaenalanenTUSCON Roadrunners (ARZ)RW251994-05-29Yes94 Kg193 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Sam BrittainTUSCON Roadrunners (ARZ)G271992-05-10No100 Kg191 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Sheldon RempalTUSCON Roadrunners (ARZ)RW241995-08-07No75 Kg178 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Slater KoekkoekTUSCON Roadrunners (ARZ)D251994-02-18No88 Kg188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Tage ThompsonTUSCON Roadrunners (ARZ)C/RW211997-10-30No93 Kg198 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2623.3889 Kg188 CM2.50763,846$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alan QuineTage ThompsonSaku Maenalanen31122
2Ryan KuffnerDaniel Zaar26122
3Adam HelewkaFilip ChlapikSheldon Rempal23122
4Kristian VesalainenGerman RubtsovTage Thompson20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater Koekkoek31122
2Jacob LarssonJosh Teves26122
3Nicolas HagueJared Cowen23122
4Slater Koekkoek20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alan QuineTage ThompsonSaku Maenalanen55122
2Ryan KuffnerDaniel Zaar45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater Koekkoek55122
2Jacob LarssonJosh Teves45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tage Thompson55122
2Saku MaenalanenAlan Quine45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater Koekkoek55122
2Jacob LarssonJosh Teves45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tage Thompson55122Slater Koekkoek55122
245122Jacob LarssonJosh Teves45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tage Thompson55122
2Saku MaenalanenAlan Quine45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater Koekkoek55122
2Jacob LarssonJosh Teves45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alan QuineTage ThompsonSaku MaenalanenSlater Koekkoek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alan QuineTage ThompsonSaku MaenalanenSlater Koekkoek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Brooks, Adam Helewka, Filip ChlapikAdam Brooks, Adam HelewkaFilip Chlapik
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nicolas Hague, Jared Cowen, Jacob LarssonNicolas HagueJared Cowen, Jacob Larsson
Tirs de Pénalité
Tage Thompson, , Saku Maenalanen, Alan Quine, Ryan Kuffner
Gardien
#1 : Adin Hill, #2 : Sam Brittain
Lignes d'Attaque Perso. en Prol.
Tage Thompson, , Saku Maenalanen, Alan Quine, Ryan Kuffner, Adam Helewka, Adam Helewka, Filip Chlapik, German Rubtsov, Kristian Vesalainen, Adam Brooks
Lignes de Défense Perso. en Prol.
, Slater Koekkoek, Jacob Larsson, Josh Teves, Nicolas Hague


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
1BELLEVILLE Senators20200000720-131010000038-510100000412-800.000711180013675513768687848693015450254100.00%10100.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
2BRIDGEPORT Sound Tigers41300000720-132110000054120200000216-1420.25071118101367551383868784869301695124651417.14%11463.64%11080192955.99%780185642.03%600128946.55%164012341973435785369
3BROOKLYN Wolfpack440000004311322200000022319220000002181381.000437011300136755133688687848693011734082000.00%000.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
4CHICAGO Wolves431000002231921100000523220000001711660.750223961021367551317086878486930853314638337.50%70100.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
5CLEVELAND Monsters44000000434392200000021318220000002212181.000437812101136755132778687848693055192050200.00%100100.00%11080192955.99%780185642.03%600128946.55%164012341973435785369
6COLORADO Eagles50400010439-3520200000219-1730200010220-1820.200448001367551363868784869302899416521915.26%8537.50%01080192955.99%780185642.03%600128946.55%164012341973435785369
7CORNWALL Aces22000000171251100000010731100000075241.00017264300136755131388687848693010327235000.00%000.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
8HERSEY Bears41300000331-2820200000020-2021100000311-820.2503690013675513668687848693020357645500.00%3166.67%01080192955.99%780185642.03%600128946.55%164012341973435785369
9HOLLYWOOD Oscar22000000241231100000013013110000001111041.000244771011367551314686878486930421222000.00%60100.00%11080192955.99%780185642.03%600128946.55%164012341973435785369
10IOWA Wild20200000522-1710100000510-510100000012-1200.000510150013675513558687848693014947228200.00%10100.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
11LAVAL Rockets40400000543-3820200000320-1720200000223-2100.000571200136755135486878486930276944421300.00%2150.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
12LEHIGH VALLEY Phantoms20200000822-1410100000212-1010100000610-400.00081220001367551336868784869301233525331119.09%8275.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
13MANITOBA Moose22000000624110000002021100000042241.0006101601136755137086878486930581412361218.33%60100.00%11080192955.99%780185642.03%600128946.55%164012341973435785369
14MILWAUKEE Admirals40400000222-2020200000111-1020200000111-1000.00023500136755136586878486930153372071800.00%90100.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
15MONT-LAURIER Sommet20200000121-201010000016-510100000015-1500.00012300136755131786878486930186430187114.29%000.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
16PROVIDENCE Bruins20200000221-1920200000221-190000000000000.00022400136755132086878486930133442201200.00%10100.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
17PV Sharapovas2010010025-31000010023-11010000002-210.25024600136755134286878486930481133366116.67%14285.71%01080192955.99%780185642.03%600128946.55%164012341973435785369
18ROCKFORD IceHogs503000021117-62020000069-33010000258-320.20011162710136755131488687848693014234599120315.00%18288.89%01080192955.99%780185642.03%600128946.55%164012341973435785369
19SAN DIEGO Gulls413000001124-132110000087120200000317-1420.250111829011367551322086878486930165572110000.00%10100.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
20STOCKTON Flames2010010057-21010000034-11000010023-110.250581300136755135286878486930501514346116.67%6183.33%11080192955.99%780185642.03%600128946.55%164012341973435785369
21SYRACUSE Crunch20101000413-910100000111-101000100032120.500471100136755136486878486930942434371616.25%13561.54%01080192955.99%780185642.03%600128946.55%164012341973435785369
22TORONTO Marlies1010000019-8000000000001010000019-800.000123001367551315868784869305719416000.00%2150.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
Total73234401212264411-14736122300100132206-7437112101112132205-73540.370264448712281367551325418687848693031699343291159180158.33%1382581.88%51080192955.99%780185642.03%600128946.55%164012341973435785369
24UTICA Comets40400000638-3220200000125-2420200000513-800.000671300136755135186878486930289816479111.11%30100.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
25VICTORIAVILLE Tigres21100000541110000004131010000013-220.500510150013675513628687848693065111438900.00%7185.71%01080192955.99%780185642.03%600128946.55%164012341973435785369
26WILKIES-BARRIE Penguins22000000200201100000010010110000001001041.00020385802136755131838687848693021234000.00%10100.00%01080192955.99%780185642.03%600128946.55%164012341973435785369
_Since Last GM Reset73234401212264411-14736122300100132206-7437112101112132205-73540.370264448712281367551325418687848693031699343291159180158.33%1382581.88%51080192955.99%780185642.03%600128946.55%164012341973435785369
_Vs Conference48143100012159273-114247170000076144-68247140001283129-46320.3331592614202413675513158586878486930207663517373811098.18%731382.19%21080192955.99%780185642.03%600128946.55%164012341973435785369
_Vs Division1499000004791-44746000002642-16753000002149-28180.64347821290213675513486868784869306941983423122313.64%16193.75%21080192955.99%780185642.03%600128946.55%164012341973435785369

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7354W126444871225413169934329115928
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7323441212264411
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3612230100132206
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3711211112132205
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
180158.33%1382581.88%5
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
8687848693013675513
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
1080192955.99%780185642.03%600128946.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
164012341973435785369


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
1 - 2019-07-301CHICAGO Wolves2TUSCON Roadrunners1LSommaire du Match
2 - 2019-07-3121TUSCON Roadrunners3UTICA Comets5LSommaire du Match
3 - 2019-08-0127TUSCON Roadrunners2ROCKFORD IceHogs3LSommaire du Match
4 - 2019-08-0244CLEVELAND Monsters2TUSCON Roadrunners10WSommaire du Match
6 - 2019-08-0462COLORADO Eagles4TUSCON Roadrunners0LSommaire du Match
8 - 2019-08-0679TUSCON Roadrunners1BRIDGEPORT Sound Tigers5LSommaire du Match
9 - 2019-08-0783TUSCON Roadrunners1HERSEY Bears10LSommaire du Match
10 - 2019-08-0894HERSEY Bears10TUSCON Roadrunners0LSommaire du Match
11 - 2019-08-09115MILWAUKEE Admirals9TUSCON Roadrunners0LSommaire du Match
12 - 2019-08-10126TUSCON Roadrunners11BROOKLYN Wolfpack3WSommaire du Match
14 - 2019-08-12137BROOKLYN Wolfpack1TUSCON Roadrunners14WSommaire du Match
16 - 2019-08-14157LAVAL Rockets14TUSCON Roadrunners1LSommaire du Match
17 - 2019-08-15167TUSCON Roadrunners1SAN DIEGO Gulls8LSommaire du Match
18 - 2019-08-16175TUSCON Roadrunners0MILWAUKEE Admirals8LSommaire du Match
19 - 2019-08-17180TUSCON Roadrunners0COLORADO Eagles7LSommaire du Match
20 - 2019-08-18194TUSCON Roadrunners14CHICAGO Wolves1WSommaire du Match
22 - 2019-08-20206SYRACUSE Crunch11TUSCON Roadrunners1LR3Sommaire du Match
24 - 2019-08-22228TUSCON Roadrunners6LEHIGH VALLEY Phantoms10LSommaire du Match
25 - 2019-08-23235LEHIGH VALLEY Phantoms12TUSCON Roadrunners2LR3Sommaire du Match
26 - 2019-08-24251PROVIDENCE Bruins11TUSCON Roadrunners0LSommaire du Match
27 - 2019-08-25267UTICA Comets13TUSCON Roadrunners1LSommaire du Match
28 - 2019-08-26283IOWA Wild10TUSCON Roadrunners5LSommaire du Match
29 - 2019-08-27296TUSCON Roadrunners10BROOKLYN Wolfpack5WSommaire du Match
30 - 2019-08-28309BELLEVILLE Senators8TUSCON Roadrunners3LSommaire du Match
31 - 2019-08-29321TUSCON Roadrunners2UTICA Comets8LSommaire du Match
32 - 2019-08-30328TUSCON Roadrunners4BELLEVILLE Senators12LSommaire du Match
34 - 2019-09-01342TUSCON Roadrunners1BRIDGEPORT Sound Tigers11LSommaire du Match
35 - 2019-09-02356MONT-LAURIER Sommet6TUSCON Roadrunners1LSommaire du Match
36 - 2019-09-03367PROVIDENCE Bruins10TUSCON Roadrunners2LSommaire du Match
37 - 2019-09-04383TUSCON Roadrunners1LAVAL Rockets11LSommaire du Match
39 - 2019-09-06395TUSCON Roadrunners0COLORADO Eagles12LSommaire du Match
40 - 2019-09-07407TUSCON Roadrunners1LAVAL Rockets12LSommaire du Match
41 - 2019-09-08415SAN DIEGO Gulls7TUSCON Roadrunners2LSommaire du Match
43 - 2019-09-10436HERSEY Bears10TUSCON Roadrunners0LSommaire du Match
45 - 2019-09-12451LAVAL Rockets6TUSCON Roadrunners2LSommaire du Match
46 - 2019-09-13465BROOKLYN Wolfpack2TUSCON Roadrunners8WSommaire du Match
47 - 2019-09-14478TUSCON Roadrunners0MONT-LAURIER Sommet15LSommaire du Match
48 - 2019-09-15481TUSCON Roadrunners1TORONTO Marlies9LSommaire du Match
49 - 2019-09-16504CORNWALL Aces7TUSCON Roadrunners10WSommaire du Match
50 - 2019-09-17513TUSCON Roadrunners0IOWA Wild12LSommaire du Match
51 - 2019-09-18523TUSCON Roadrunners2SAN DIEGO Gulls9LSommaire du Match
53 - 2019-09-20538CLEVELAND Monsters1TUSCON Roadrunners11WSommaire du Match
54 - 2019-09-21551MANITOBA Moose0TUSCON Roadrunners2WSommaire du Match
55 - 2019-09-22564TUSCON Roadrunners12CLEVELAND Monsters0WSommaire du Match
58 - 2019-09-25580UTICA Comets12TUSCON Roadrunners0LSommaire du Match
60 - 2019-09-27594TUSCON Roadrunners7CORNWALL Aces5WSommaire du Match
61 - 2019-09-28605COLORADO Eagles15TUSCON Roadrunners2LSommaire du Match
62 - 2019-09-29616TUSCON Roadrunners1ROCKFORD IceHogs2LXXSommaire du Match
64 - 2019-10-01623TUSCON Roadrunners10CLEVELAND Monsters1WSommaire du Match
65 - 2019-10-02638PV Sharapovas3TUSCON Roadrunners2LXSommaire du Match
67 - 2019-10-04654TUSCON Roadrunners2ROCKFORD IceHogs3LXXSommaire du Match
68 - 2019-10-05659TUSCON Roadrunners11HOLLYWOOD Oscar1WSommaire du Match
69 - 2019-10-06671MILWAUKEE Admirals2TUSCON Roadrunners1LSommaire du Match
71 - 2019-10-08690STOCKTON Flames4TUSCON Roadrunners3LSommaire du Match
73 - 2019-10-10704TUSCON Roadrunners2HERSEY Bears1WSommaire du Match
74 - 2019-10-11713TUSCON Roadrunners1VICTORIAVILLE Tigres3LSommaire du Match
75 - 2019-10-12728HOLLYWOOD Oscar0TUSCON Roadrunners13WSommaire du Match
76 - 2019-10-13742WILKIES-BARRIE Penguins0TUSCON Roadrunners10WSommaire du Match
78 - 2019-10-15760TUSCON Roadrunners3SYRACUSE Crunch2WXR3Sommaire du Match
79 - 2019-10-16769TUSCON Roadrunners2COLORADO Eagles1WXXSommaire du Match
80 - 2019-10-17777SAN DIEGO Gulls0TUSCON Roadrunners6WSommaire du Match
82 - 2019-10-19795TUSCON Roadrunners1MILWAUKEE Admirals3LSommaire du Match
83 - 2019-10-20803CHICAGO Wolves0TUSCON Roadrunners4WSommaire du Match
84 - 2019-10-21821BRIDGEPORT Sound Tigers1TUSCON Roadrunners4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22829TUSCON Roadrunners2STOCKTON Flames3LXSommaire du Match
86 - 2019-10-23845BRIDGEPORT Sound Tigers3TUSCON Roadrunners1LSommaire du Match
88 - 2019-10-25864ROCKFORD IceHogs5TUSCON Roadrunners3LSommaire du Match
89 - 2019-10-26866TUSCON Roadrunners3CHICAGO Wolves0WSommaire du Match
90 - 2019-10-27882TUSCON Roadrunners4MANITOBA Moose2WSommaire du Match
92 - 2019-10-29898ROCKFORD IceHogs4TUSCON Roadrunners3LSommaire du Match
93 - 2019-10-30903TUSCON Roadrunners10WILKIES-BARRIE Penguins0WSommaire du Match
94 - 2019-10-31920TUSCON Roadrunners0PV Sharapovas2LSommaire du Match
96 - 2019-11-02930VICTORIAVILLE Tigres1TUSCON Roadrunners4WSommaire du Match
99 - 2019-11-05952HOLLYWOOD Oscar-TUSCON Roadrunners-
101 - 2019-11-07972TORONTO Marlies-TUSCON Roadrunners-
103 - 2019-11-09986TUSCON Roadrunners-PROVIDENCE Bruins-
104 - 2019-11-10994TORONTO Marlies-TUSCON Roadrunners-
105 - 2019-11-111002TUSCON Roadrunners-PROVIDENCE Bruins-



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
3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,542,254$ 1,986,000$ 1,986,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,806,386$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 10 27,907$ 279,070$




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
3273234401212264411-14736122300100132206-7437112101112132205-7354264448712281367551325418687848693031699343291159180158.33%1382581.88%51080192955.99%780185642.03%600128946.55%164012341973435785369
Total Saison Régulière73234401212264411-14736122300100132206-7437112101112132205-7354264448712281367551325418687848693031699343291159180158.33%1382581.88%51080192955.99%780185642.03%600128946.55%164012341973435785369