Cincinnati Clippers

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: | Morale : 27 | Moyenne d'Équipe : 72
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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
1Preston Kissack27X100.0094461767392709389299677091566257770
2Lance Hallard0X100.009924517081898580658091467099881825740
3Tom Reagan0X100.00172997473828775298693627088884152730
4Matthew Weidler18X100.0061997766544998759798338699924025720
5Grady Carmant0X100.007627436780836981558193497092984716720
6Billy Tilton0X100.007150397276818286118181637082655244720
7Clay Tousey42X100.004922626590733690128597517099642626700
8Garrett Brayer0X100.0071996675846379757284577099992470700
9Roy Lomba39X100.008527697274817582205491417083946475690
10Kelly Furse0X100.00364996885744678448692347099994947690
11Fabian Tillberg0X100.005718746782756889857294377080663171690
12Jesse Hagar0X100.0011996377405471998878695099992267680
13Steven Pontarelli15X99.0580309756173497662869689508385767740
14Craig Dalrymple55X100.007022696379839175194522845699863738710
15Matt Swiatek25X100.009540216783788372315786627099933132710
16Jon Carville0X100.00212997774847571826980707099993953700
17Austin Glassel0X100.009624217465777552335753925077456846700
18Chris Almeida0X100.006529996481795866235163807094745263680
Rayé
1Dion Bontrager28X100.0011996675515389657495708399782817700
2Glen Theimer0X100.00692262757456518698286467499715117690
3Boyd Cannizzo0X100.009930425878706362274878839998994555680
4Michael Tracy22X97.449722535779534899839798899299992113780
5Travis Walsh5X100.004818967372938473626772725492614619690
6Owen Westaby0X100.00418927377807363215653834599803070690
MOYENNE D'ÉQUIPE99.85582067697674667946738264699482424271
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
1Lucas Kane (R)100.00707990687094858274685097884060780
2Curt Denyer100.00726475787693949089647950935232780
Rayé
1Pete Hennings100.00724068777299737899676799995544770
MOYENNE D'ÉQUIPE100.0071617874739584838766658293494578
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jerry Feeley87778085898941USA621550,000$


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
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


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
Austin GlasselCincinnati ClippersD195/21/1999No182 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm476,442$476,442$476,442$No
Billy TiltonCincinnati ClippersRW2312/9/1995No192 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm535,000$535,000$535,000$No
Boyd CannizzoCincinnati ClippersLW276/5/1991No223 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$500,000$500,000$No
Chris AlmeidaCincinnati ClippersD2212/13/1996No229 Lbs6 ft7NoNoNo1Contrat d'EntréePro & Farm332,267$332,267$332,267$No
Clay TouseyCincinnati ClippersLW2410/24/1994No250 Lbs6 ft9NoNoNo3Avec RestrictionPro & Farm500,000$500,000$500,000$No
Craig DalrympleCincinnati ClippersD274/11/1991No214 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm443,029$443,029$443,029$No
Curt DenyerCincinnati ClippersG247/6/1994No198 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm550,000$550,000$550,000$No
Dion BontragerCincinnati ClippersLW298/8/1989No198 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm645,000$645,000$645,000$No
Fabian TillbergCincinnati ClippersC225/3/1996No212 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm450,000$450,000$450,000$No
Garrett BrayerCincinnati ClippersC242/2/1995No198 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm392,500$392,500$392,500$No
Glen TheimerCincinnati ClippersC2812/23/1990No181 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm519,000$519,000$519,000$No
Grady CarmantCincinnati ClippersLW237/28/1995No206 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm555,000$555,000$555,000$No
Jesse HagarCincinnati ClippersRW301/6/1989No209 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$500,000$500,000$No
Jon CarvilleCincinnati ClippersD241/27/1995No178 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm425,700$425,700$425,700$No
Kelly FurseCincinnati ClippersC2311/6/1995No216 Lbs6 ft9NoNoNo4Avec RestrictionPro & Farm650,000$650,000$650,000$No
Lance HallardCincinnati ClippersLW226/14/1996No204 Lbs6 ft7NoNoNo5Contrat d'EntréePro & Farm875,000$875,000$875,000$No
Lucas KaneCincinnati ClippersG1912/20/1999Yes159 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm622,115$622,115$622,115$No
Matt SwiatekCincinnati ClippersD2512/7/1993No214 Lbs6 ft8NoNoNo2Avec RestrictionPro & Farm435,000$435,000$435,000$No
Matthew WeidlerCincinnati ClippersRW283/18/1990No163 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm1,100,000$1,100,000$1,100,000$No
Michael TracyCincinnati ClippersD3612/27/1982No222 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm2,100,000$2,100,000$2,100,000$No
Owen WestabyCincinnati ClippersD276/9/1991No191 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm510,000$510,000$510,000$No
Pete HenningsCincinnati ClippersG283/12/1990No191 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm500,000$500,000$500,000$No
Preston KissackCincinnati ClippersRW229/30/1996No176 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm573,077$573,077$573,077$No
Roy LombaCincinnati ClippersC2110/22/1997No195 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm436,635$436,635$436,635$No
Steven PontarelliCincinnati ClippersD2011/14/1998No175 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm599,038$599,038$599,038$No
Tom ReaganCincinnati ClippersLW232/21/1995No182 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$No
Travis WalshCincinnati ClippersD256/4/1993No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm571,154$571,154$571,154$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2724.63198 Lbs6 ft32.44606,332$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
16,370,957$12,422,430$7,880,095$3,687,115$875,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lance HallardGarrett BrayerPreston Kissack40122
2Tom ReaganRoy LombaMatthew Weidler30122
3Grady CarmantFabian TillbergBilly Tilton20122
4Clay TouseyKelly FurseJesse Hagar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven PontarelliCraig Dalrymple40122
2Matt SwiatekJon Carville30122
3Austin GlasselChris Almeida20122
4Steven PontarelliCraig Dalrymple10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lance HallardGarrett BrayerPreston Kissack60122
2Tom ReaganRoy LombaMatthew Weidler40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven PontarelliCraig Dalrymple60122
2Matt SwiatekJon Carville40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Preston KissackLance Hallard60122
2Tom ReaganMatthew Weidler40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven PontarelliCraig Dalrymple60122
2Matt SwiatekJon Carville40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Preston Kissack60122Steven PontarelliCraig Dalrymple60122
2Lance Hallard40122Matt SwiatekJon Carville40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Preston KissackLance Hallard60122
2Tom ReaganMatthew Weidler40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven PontarelliCraig Dalrymple60122
2Matt SwiatekJon Carville40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lance HallardGarrett BrayerPreston KissackSteven PontarelliCraig Dalrymple
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lance HallardGarrett BrayerPreston KissackSteven PontarelliCraig Dalrymple
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Grady Carmant, Billy Tilton, Clay TouseyGrady Carmant, Billy TiltonClay Tousey
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Austin Glassel, Chris Almeida, Matt SwiatekAustin GlasselChris Almeida, Matt Swiatek
Tirs de Pénalité
Preston Kissack, Lance Hallard, Tom Reagan, Matthew Weidler, Grady Carmant
Gardien
#1 : Lucas Kane, #2 : Curt Denyer


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 Matchs
WLOTWOTL T
00000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna48003500260014001500
Prix des Billets90685436173
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 0 - 0.00%0$0$1380040

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 16,370,957$ 16,370,957$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 27 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 95,395,509$ 95,395,509$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Lance HallardAGE:22PO:18OV:74
Tom ReaganAGE:23PO:41OV:73
Grady CarmantAGE:23PO:47OV:72
Dion BontragerAGE:29PO:28OV:70
Clay TouseyAGE:24PO:26OV:70
Jarvis GrayAGE:22PO:41OV:69
Boyd CannizzoAGE:27PO:45OV:68
*Aaron ZellmannAGE:19PO:41OV:67
Jason AnastasAGE:25PO:43OV:65
Ron BartleyAGE:21PO:40OV:63
Nathan DeLeoAGE:19PO:51OV:62
Paul PillitteriAGE:20PO:70OV:59
Bill RocaAGE:21PO:39OV:59
Damian SchraderAGE:24PO:31OV:70
Garrett BrayerAGE:24PO:24OV:70
Roy LombaAGE:21PO:64OV:69
Garrett FranzoniAGE:21PO:58OV:69
Glen TheimerAGE:28PO:51OV:69
Kelly FurseAGE:23PO:49OV:69
Fabian TillbergAGE:22PO:31OV:69
*Jacob TanseyAGE:18PO:50OV:67
Dustin WormackAGE:22PO:43OV:62
*Kyle AshdownAGE:18PO:62OV:61
Fredrick HembyAGE:21PO:54OV:60
Braeden HansardAGE:22PO:56OV:59
Zachary ForrestAGE:21PO:68OV:58
Marc-Antoine CharbonneauAGE:22PO:55OV:57
Preston KissackAGE:22PO:62OV:77
Billy TiltonAGE:23PO:52OV:72
Matthew WeidlerAGE:28PO:40OV:72
Jesse HagarAGE:30PO:22OV:68
Daren EstlerAGE:29PO:1OV:67
Dante EaganAGE:22PO:39OV:66
Joe BardenAGE:22PO:38OV:61
*Jamie ReidAGE:19PO:62OV:60
Marc TheilerAGE:23PO:66OV:59
Kirk RitcheyAGE:23PO:62OV:58
Jake WilsonAGE:21PO:54OV:58

Défense #1Défense #2Gardien
Michael TracyAGE:36PO:21OV:78
Steven PontarelliAGE:20PO:76OV:74
Craig DalrympleAGE:27PO:37OV:71
Matt SwiatekAGE:25PO:31OV:71
Austin GlasselAGE:19PO:68OV:70
Jon CarvilleAGE:24PO:39OV:70
Bill MowattAGE:20PO:48OV:69
Travis WalshAGE:25PO:46OV:69
Owen WestabyAGE:27PO:30OV:69
Chris AlmeidaAGE:22PO:52OV:68
Micah ZecherAGE:30PO:12OV:68
Luke BevingtonAGE:29PO:1OV:68
Chase SedorAGE:20PO:59OV:67
*Patrick PiacentiniAGE:25PO:67OV:64
Kirk McGinnisAGE:22PO:66OV:63
*Josh SholarAGE:19PO:62OV:63
Stephen ShoppAGE:19PO:51OV:63
Derek MillerAGE:22PO:36OV:62
*Austin MalinAGE:18PO:47OV:61
Devin TraberAGE:24PO:34OV:61
Frankie EckersonAGE:21PO:55OV:60
Eric MadesAGE:23PO:46OV:60
Curt DenyerAGE:24PO:52OV:78
*Lucas KaneAGE:19PO:40OV:78
Pete HenningsAGE:28PO:55OV:77
Lee JonakAGE:24PO:48OV:76
Devin McCollisterAGE:22PO:42OV:73
Adam ParkAGE:32PO:36OV:73
Vaughn DimascioAGE:30PO:48OV:70

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
17Cin Cin Mtl Cin Ric Cin Bos Que Cin Mtl Cin
18Cin Cin Cin Cin Cin Cin Cin Cin
19Cin Cin Cin Cin Cin Cin Cin Cin
20Cin Cin Cin Cin Cin Cin Cin Cin
21Cin Cin Cin Cin Cin Cin Cin Cin



[9/2/2019 1:31:47 PM] - Cincinnati Clippers didn't make playoff for year 16.
[8/30/2019 9:36:05 PM] - TRADE : From Cincinnati Clippers to Quebec Cavaliers : Darrin Palmateer (71), Y:17-RND:6-Cin.
[8/30/2019 9:36:05 PM] - TRADE : From Quebec Cavaliers to Cincinnati Clippers : Bill Mowatt (69), Dante Eagan (66), Y:17-RND:5-Que.
[8/30/2019 9:29:26 PM] - TRADE : From Montreal Voyageurs to Cincinnati Clippers : Tom Reagan (73), Garrett Franzoni (68), Austin Glassel (70), Patrick Piacentini (64), Y:17-RND:2-Mtl.
[8/30/2019 9:29:26 PM] - TRADE : From Cincinnati Clippers to Montreal Voyageurs : Micah Manzanares (74), Kurt Zielonka (64).
[7/4/2019 5:24:00 PM] - TRADE : From Cincinnati Clippers to Boston Eagles : Jared Vaid (70), Alan Landrus (71), Chris Couturier (70).
[7/4/2019 5:24:00 PM] - TRADE : From Boston Eagles to Cincinnati Clippers : Glen Theimer (70), Damian Schrader (70), Stephen Shopp (63), Derek Miller (62), Devin Traber (61), Y:17-RND:5-Bos.
[7/3/2019 10:20:33 PM] - TRADE : From Montreal Voyageurs to Cincinnati Clippers : Dustin Wormack (62), Frankie Eckerson (60), Y:17-RND:7-Mtl.
[7/3/2019 10:20:33 PM] - TRADE : From Cincinnati Clippers to Montreal Voyageurs : Stephen Hadley (66).
[6/20/2019 9:32:57 PM] - Cincinnati Clippers hired Jerry Feeley for $550,000 for 1 year(s).
[6/20/2019 9:32:43 PM] - Cincinnati Clippers fired Thomas Palumbo.
[6/13/2019 8:48:55 PM] - Mike Sarno was released.
[6/13/2019 8:48:55 PM] - Cincinnati Clippers paid $0 to release Mike Sarno.
[6/13/2019 8:48:52 PM] - Kenny Nevins was released.
[6/13/2019 8:48:52 PM] - Cincinnati Clippers paid $0 to release Kenny Nevins.
[6/13/2019 8:48:48 PM] - Jeff Davis was released.
[6/13/2019 8:48:48 PM] - Cincinnati Clippers paid $0 to release Jeff Davis.
[6/13/2019 8:48:44 PM] - Dallas Dorner was released.
[6/13/2019 8:48:44 PM] - Cincinnati Clippers paid $0 to release Dallas Dorner.
[6/13/2019 8:48:41 PM] - Curtis Mildenhall was released.
[6/13/2019 8:48:41 PM] - Cincinnati Clippers paid $0 to release Curtis Mildenhall.
[6/10/2019 9:50:06 PM] - Derek Wilkinson was released.
[6/10/2019 9:50:06 PM] - Joshua Parson was released.
[6/9/2019 11:37:24 AM] - Vaughn Dimascio signed with Cincinnati Clippers for $225,000 for 1 year(s).
[6/9/2019 11:37:24 AM] - Vaughn Dimascio was added to Cincinnati Clippers.
[6/9/2019 11:37:14 AM] - Adam Park signed with Cincinnati Clippers for $300,000 for 1 year(s).
[6/9/2019 11:37:14 AM] - Adam Park was added to Cincinnati Clippers.
[6/9/2019 12:26:41 AM] - Stephen Hadley signed with Cincinnati Clippers for $385,000 for 1 year(s).
[6/9/2019 12:26:41 AM] - Stephen Hadley was added to Cincinnati Clippers.
[6/9/2019 12:26:21 AM] - Jared Vaid signed with Cincinnati Clippers for $530,000 for 2 year(s).
[6/9/2019 12:26:21 AM] - Jared Vaid was added to Cincinnati Clippers.
[6/5/2019 12:06:17 AM] - TRADE : From Richmond Robins to Cincinnati Clippers : Kelly Furse (69), Y:17-RND:5-Ric.
[6/5/2019 12:06:17 AM] - TRADE : From Cincinnati Clippers to Richmond Robins : Tyler Galuski (70), Y:17-RND:4-Cin.
[6/2/2019 9:06:50 PM] - Boyd Cannizzo signed with Cincinnati Clippers for $500,000 for 1 year(s).
[6/2/2019 9:06:50 PM] - Boyd Cannizzo was added to Cincinnati Clippers.
[6/2/2019 9:06:22 PM] - Alan Landrus signed with Cincinnati Clippers for $750,000 for 1 year(s).
[6/2/2019 9:06:22 PM] - Alan Landrus was added to Cincinnati Clippers.
[6/2/2019 2:59:45 PM] - Austin Malin was added to Cincinnati Clippers.



[9/2/2019 1:31:47 PM] Jacob Tansey from Dayton Clippers is back from Torso Injury.
[9/2/2019 1:26:48 PM] Michael Tracy from Cincinnati Clippers is back from Exhaustion.
[9/2/2019 1:26:48 PM] Dayton Clippers lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Dayton Clippers.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Cincinnati Clippers.
[9/2/2019 1:26:36 PM] Auto Roster Function has been run for Cincinnati Clippers.
[9/2/2019 1:26:36 PM] Damian Schrader of Cincinnati Clippers was sent to farm.
[9/2/2019 1:26:36 PM] Garrett Franzoni of Cincinnati Clippers was sent to farm.
[9/2/2019 1:26:36 PM] Roy Lomba of Cincinnati Clippers was sent to pro.



Luke Bevington est dehors pour 1 semaine à cause de Sprained Right Ankle Injury.



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
Saison Régulière
1680214674200220291-7140132141100120140-204082533100100151-5149220358578306279754226278866878818256589197716033425415.79%4287682.24%7643187934.22%648212530.49%365114531.88%161388318427631388672
13-14802931124400270277-740131942200131133-240161282200139144-5702704527221083811024266697585281227275690964918034046516.09%3085781.49%3892210042.48%888204643.40%468119639.13%166987517387691463751
14-15802734153100266272-6401616521001451378401118101000121135-14692664617275076100873262488086984728281096275516923766918.35%3206081.25%6718206734.74%856219638.98%427124334.35%166088517757651449735
15-16803333110300253261-840181640200127125240151770100126136-1077253419672407492870254095083573421275692785217333654913.42%3787181.22%7717199935.87%828217838.02%437119336.63%165789617817641424709
16-17803035113100262287-2540141682000133142-940161931100129145-16712624336952086947932242783740697222618874122115993015016.61%3916683.12%9587178132.96%773214835.99%412129631.79%159086218477711422685
17-18802637112400246282-3640151561300135139-440112251100111143-32632464086542177779022310776780736182641842138316623064213.73%4488281.70%7534176830.20%661214030.89%384123831.02%161488318457711411670
Total Saison Régulière4801662166716150015171670-15324089103318900791816-2524077113368600726854-1283991517253140481714585235201614644515247444614134161465405583710092209432915.71%227341281.87%3940911159435.29%46541283336.27%2493731134.10%9804528710830460685604225