Dahlonega Blood Miners

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 9 | GA: 17 | PP%: 15.38% | PK%: 75.00%
GM : Marcus | Morale : 55 | Team Overall : 55
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name #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
1Lawson Crouse0X100.00919881778259856136505971255555067620
2Garnet Hathaway0XX100.00919960688161835928625870255656080620
3Valentin Zykov0XX100.00614293717465856725707050254545070620
4Daniel Sprong0X100.00696772676767676950646964664747051620
5Jimmy Hayes0X100.00804693668562647037645963416768042620
6Cole Bardreau0XX100.00666862636871736278616060574444068590
7Kyle Criscuolo0XX100.00666081626079846278596060574444077590
8mark visentin0X100.00838555727848765834645558254646072580
9Nick Paul0X100.00804599717551845833505952254747060570
10Frederik Tiffels (R)0XX100.00807494687438355265445664534444044540
11Markus Eisenschmid0X100.00726784636761645063474860464444053540
12Tommy Cross0X100.00747768717781885325494361414444058610
13Scott Harrington0X100.00764491707562525625494873255454056610
14Ashton Sautner0X100.00787193647166714725374162394444058570
15Brenden Kichton0X100.00696676606674805125593958374444074570
Scratches
1Joshua Ho-Sang0X100.00574096816467637336825957254747068630
2Turner Elson0X100.00706875616855555550495660534444050540
3Ryan Penny0X100.00747084647054555350554661444444030540
4Tyler Wong (R)0X100.00686184626170764950454857464444020530
5Branden Troock0X100.00505050505050505050505050505050020480
6Jaden Lindo (R)0X100.00505050505050505050505050505050020480
7Vitaly Abramov (R)0X100.00505050505050505050505050505050020480
8Jiri Sekac0XXX100.00505050505050505050505050505050019480
9Marcel Noebels0XX100.00505050505050505050505050505050020480
10Luke Adam0XX100.0050505050505050505050505050505002048X0
11Emil Molin (R)0XXX100.00505050505050505050505050505050019480
12Kyle Gibbons0X100.00505050505050505050505050505050020480
13Eric Gryba0X100.00927860668665615725504768256566065630
14Andy Welinski0X100.00757281737273776025525364504444077620
15Jalen Chatfield (R)0X100.00746986656970774525344059384444067560
16Adam Ollas Mattsson0X100.00817887657850534125283962374444015540
17Matt MacKenzie0X100.00707167627150524325313957374444019520
18Mike Prapavessis (R)0X100.00505050505050505050505050505050020480
19Dmitry Sinitsyn (R)0X100.00505050505050505050505050505050019480
20Jesse Blacker0X100.00505050505050505050505050505050020480
21Troy Vance (R)0X100.00505050505050505050505050505050019480
TEAM AVERAGE100.0067627061655863544352515843484904455
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Louis Domingue100.0061646383715150636160895656054610
2Jonas Johansson100.0045486084424450524546304444058500
Scratches
1Joacim Eriksson100.0050505050505050505050505050020490
TEAM AVERAGE100.005254587254485055525256505004453
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Peter DeBoer58878291635873CAN462250,000$


Filter Tips
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
# Player Name Team NamePOS 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
1Valentin ZykovDahlonega Blood Miners (DAL)LW/RW5224-100810133615.38%38817.6600018000001020.00%522000.9100000100
2Eric GrybaDahlonega Blood Miners (DAL)D5123-3161020764416.67%513226.430000900008000.00%023000.4500200000
3Joshua Ho-SangDahlonega Blood Miners (DAL)RW5033-400512186120.00%213126.250222110000170041.67%1255000.4600000000
4Daniel SprongDahlonega Blood Miners (DAL)RW5123-15514713167.69%19218.540000200000000.00%213000.6500010010
5Frederik TiffelsDahlonega Blood Miners (DAL)C/LW5033100841010.00%17314.7200002000020034.15%4120000.8200000001
6Kyle CriscuoloDahlonega Blood Miners (DAL)C/RW5112-20081070414.29%111022.191011120000170048.08%10420000.3600000000
7Jimmy HayesDahlonega Blood Miners (DAL)RW5112-2407892311.11%28016.120000000000000.00%120000.5000000000
8Lawson CrouseDahlonega Blood Miners (DAL)LW5101134107644325.00%26913.8600004000180025.00%410000.2900110100
9mark visentinDahlonega Blood Miners (DAL)LW510107515431333.33%16913.8110118000150050.00%420000.2900001000
10Andy WelinskiDahlonega Blood Miners (DAL)D5101-31010121381012.50%614428.96000012000019000.00%026000.1400110000
11Tommy CrossDahlonega Blood Miners (DAL)D5011-326201593240.00%512825.67011013000015000.00%008000.1600112000
12Cole BardreauDahlonega Blood Miners (DAL)C/RW5000-3155571150.00%18817.6600008000050055.77%5212000.0000001000
13Garnet HathawayDahlonega Blood Miners (DAL)LW/RW5000-23620987310.00%17515.17000110000020033.33%310000.0000301000
14Ashton SautnerDahlonega Blood Miners (DAL)D500005510150100.00%412424.8300008000011000.00%001000.0000010000
15Nick PaulDahlonega Blood Miners (DAL)LW5000000100000.00%040.810000000000000.00%000000.0000000000
16Markus EisenschmidDahlonega Blood Miners (DAL)C5000-200860010.00%05210.5400000000000037.50%1602000.0000000000
17Scott HarringtonDahlonega Blood Miners (DAL)D5000-1002100000.00%16212.410000200004000.00%012000.0000000000
18Brenden KichtonDahlonega Blood Miners (DAL)D5000000220000.00%0469.300000000000000.00%001000.0000000000
Team Total or Average9091524-25158901561389329539.68%36157417.49235611700021191044.67%2442435000.3000855211
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Louis DomingueDahlonega Blood Miners (DAL)51310.8882.94306201513480100.000050000
2Jonas JohanssonDahlonega Blood Miners (DAL)10000.8188.5714002116000.000005000
Team Total or Average61310.8833.19320201714586100.000055000


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam Ollas MattssonDahlonega Blood Miners (DAL)D2230.07.1996No216 Lbs6 ft5NoNoNo1RFAPro & Farm450,000$45,000$0$NoLink
Andy WelinskiDahlonega Blood Miners (DAL)D2627.04.1993No205 Lbs6 ft1NoNoNo3RFAPro & Farm690,000$69,000$0$NoLink
Ashton SautnerDahlonega Blood Miners (DAL)D2527.05.1994No195 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$100,000$0$NoLink
Branden TroockDahlonega Blood Miners (DAL)RW2520.03.1994No201 Lbs6 ft4NoNoNo2RFAPro & Farm450,000$45,000$0$NoLink
Brenden KichtonDahlonega Blood Miners (DAL)D2617.06.1992No185 Lbs5 ft10NoNoNo2RFAPro & Farm1,200,000$120,000$0$NoLink
Cole BardreauDahlonega Blood Miners (DAL)C/RW2521.07.1993No185 Lbs5 ft10NoNoNo1RFAPro & Farm450,000$45,000$0$NoLink
Daniel SprongDahlonega Blood Miners (DAL)RW2217.03.1997No180 Lbs6 ft0NoNoNo1RFAPro & Farm1,000,000$100,000$0$NoLink
Dmitry SinitsynDahlonega Blood Miners (DAL)D2417.06.1994 17:53:40Yes205 Lbs6 ft2NoNoNo2RFAPro & Farm450,000$45,000$0$No
Emil MolinDahlonega Blood Miners (DAL)C/LW/RW2603.02.1993Yes179 Lbs6 ft0NoNoNo1RFAPro & Farm450,000$45,000$0$No
Eric GrybaDahlonega Blood Miners (DAL)D3113.04.1988No225 Lbs6 ft4NoNoNo3UFAPro & Farm450,000$45,000$0$NoLink
Frederik TiffelsDahlonega Blood Miners (DAL)C/LW2420.05.1995Yes201 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$50,000$0$NoLink
Garnet HathawayDahlonega Blood Miners (DAL)LW/RW2722.11.1991No208 Lbs6 ft2NoNoNo1RFAPro & Farm450,000$45,000$0$NoLink
Jaden LindoDahlonega Blood Miners (DAL)RW2311.01.1996 08:49:54Yes212 Lbs6 ft2NoNoNo1RFAPro & Farm500,000$50,000$0$No
Jalen ChatfieldDahlonega Blood Miners (DAL)D2315.05.1996Yes188 Lbs6 ft1NoNoNo3RFAPro & Farm600,000$60,000$0$NoLink
Jesse BlackerDahlonega Blood Miners (DAL)D2818.04.1991No190 Lbs6 ft1NoNoNo1RFAPro & Farm450,000$45,000$0$No
Jimmy HayesDahlonega Blood Miners (DAL)RW2921.11.1989No215 Lbs6 ft6NoNoNo3RFAPro & Farm650,000$65,000$0$NoLink
Jiri SekacDahlonega Blood Miners (DAL)C/LW/RW2610.06.1992No195 Lbs6 ft2NoNoNo2RFAPro & Farm450,000$45,000$0$No
Joacim ErikssonDahlonega Blood Miners (DAL)G2909.04.1990No189 Lbs6 ft1NoNoNo1RFAPro & Farm450,000$45,000$0$No
Jonas JohanssonDahlonega Blood Miners (DAL)G2319.09.1995No206 Lbs6 ft4NoNoNo2RFAPro & Farm850,000$85,000$0$NoLink
Joshua Ho-SangDahlonega Blood Miners (DAL)RW2322.01.1996No173 Lbs6 ft0NoNoNo1RFAPro & Farm1,500,000$150,000$0$NoLink
Kyle CriscuoloDahlonega Blood Miners (DAL)C/RW2705.05.1992No170 Lbs5 ft8NoNoNo2RFAPro & Farm450,000$45,000$0$NoLink
Kyle GibbonsDahlonega Blood Miners (DAL)LW2827.04.1991 15:24:45No185 Lbs6 ft1NoNoNo1RFAPro & Farm450,000$45,000$0$No
Lawson CrouseDahlonega Blood Miners (DAL)LW2123.06.1997No220 Lbs6 ft4NoNoNo2RFAPro & Farm1,500,000$150,000$0$NoLink
Louis DomingueDahlonega Blood Miners (DAL)G2705.03.1992No210 Lbs6 ft3NoNoNo3RFAPro & Farm1,150,000$115,000$0$NoLink
Luke AdamDahlonega Blood Miners (DAL)C/LW2817.06.1990No206 Lbs6 ft2NoYesNo1RFAPro & Farm450,000$45,000$0$No
Marcel NoebelsDahlonega Blood Miners (DAL)C/LW2714.03.1992No205 Lbs6 ft2NoNoNo1RFAPro & Farm450,000$45,000$0$No
Markus EisenschmidDahlonega Blood Miners (DAL)C2422.01.1995No169 Lbs6 ft0NoNoNo1RFAPro & Farm450,000$45,000$0$NoLink
Matt MacKenzieDahlonega Blood Miners (DAL)D2715.10.1991No182 Lbs6 ft1NoNoNo2RFAPro & Farm450,000$45,000$0$NoLink
Mike PrapavessisDahlonega Blood Miners (DAL)D2307.01.1996 08:48:16Yes181 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$75,000$0$No
Nick PaulDahlonega Blood Miners (DAL)LW2420.03.1995No230 Lbs6 ft4NoNoNo3RFAPro & Farm650,000$65,000$0$NoLink
Ryan PennyDahlonega Blood Miners (DAL)LW2409.09.1994No192 Lbs6 ft0NoNoNo2RFAPro & Farm450,000$45,000$0$NoLink
Scott HarringtonDahlonega Blood Miners (DAL)D2610.03.1993No219 Lbs6 ft2NoNoNo1RFAPro & Farm1,000,000$100,000$0$NoLink
Tommy CrossDahlonega Blood Miners (DAL)D2912.09.1989No205 Lbs6 ft3NoNoNo2RFAPro & Farm450,000$45,000$0$NoLink
Troy VanceDahlonega Blood Miners (DAL)D2502.08.1993 15:50:34Yes203 Lbs6 ft3NoNoNo1RFAPro & Farm450,000$45,000$0$No
Turner ElsonDahlonega Blood Miners (DAL)LW2612.09.1992No195 Lbs6 ft0NoNoNo2RFAPro & Farm450,000$45,000$0$NoLink
Tyler WongDahlonega Blood Miners (DAL)LW2328.02.1996Yes172 Lbs5 ft9NoNoNo3RFAPro & Farm450,000$45,000$0$NoLink
Valentin ZykovDahlonega Blood Miners (DAL)LW/RW2414.05.1995No224 Lbs6 ft1NoNoNo3RFAPro & Farm675,000$67,500$0$NoLink
Vitaly AbramovDahlonega Blood Miners (DAL)LW2108.05.1998Yes170 Lbs5 ft9NoNoNo2RFAPro & Farm1,000,000$100,000$0$NoLink
mark visentinDahlonega Blood Miners (DAL)LW2214.12.1996No204 Lbs6 ft3NoNoNo2RFAPro & Farm1,000,000$100,000$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3925.21197 Lbs6 ft11.82658,077$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jimmy HayesKyle Criscuolo35122
2Garnet HathawayCole Bardreau30122
3Valentin ZykovFrederik TiffelsDaniel Sprong25122
4Lawson CrouseMarkus EisenschmidDaniel Sprong10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy Cross35122
2Ashton Sautner30122
325122
4Tommy Cross10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Garnet HathawayKyle Criscuolo60122
2Garnet HathawayCole Bardreau40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy Cross60122
2Ashton Sautner40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kyle Criscuolo60122
2Garnet Hathaway40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy Cross60122
2Ashton Sautner40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Tommy Cross60122
240122Ashton Sautner40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Valentin Zykov60122
2Garnet Hathaway40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy Cross60122
2Ashton Sautner40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jimmy HayesKyle CriscuoloTommy Cross
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jimmy HayesKyle CriscuoloTommy Cross
Extra Forwards
Normal PowerPlayPenalty Kill
mark visentin, Valentin Zykov, Lawson Crousemark visentin, Valentin ZykovLawson Crouse
Extra Defensemen
Normal PowerPlayPenalty Kill
, Tommy Cross, Ashton Sautner, Ashton Sautner
Penalty Shots
Jimmy Hayes, , Kyle Criscuolo, Garnet Hathaway, Valentin Zykov
Goalie
#1 : Louis Domingue, #2 : Jonas Johansson


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Charlottetown Mussle Shovelers51400000917-82110000065130300000312-920.200915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059
Total51400000917-82110000065130300000312-920.200915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059
_Since Last GM Reset51400000917-82110000065130300000312-920.200915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059
_Vs Conference51400000917-82110000065130300000312-920.200915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52OTL191524931453616015600
All Games
GPWLOTWOTL SOWSOLGFGA
5140000917
Home Games
GPWLOTWOTL SOWSOLGFGA
211000065
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3030000312
Last 10 Games
WLOTWOTL SOWSOL
130100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
13215.38%20575.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
15235231080
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
308037.50%4910248.04%306248.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
98401015812059


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2018-10-037Dahlonega Blood Miners0Charlottetown Mussle Shovelers2LBoxScore
4 - 2018-10-0515Dahlonega Blood Miners1Charlottetown Mussle Shovelers7LBoxScore
6 - 2018-10-0723Charlottetown Mussle Shovelers4Dahlonega Blood Miners1LBoxScore
8 - 2018-10-0931Charlottetown Mussle Shovelers1Dahlonega Blood Miners5WBoxScore
10 - 2018-10-1139Dahlonega Blood Miners2Charlottetown Mussle Shovelers3LXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price4020
Attendance3,5681,866
Attendance PCT89.20%93.30%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 2717 - 90.57% 108,024$216,048$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,566,500$ 2,383,001$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 39 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




OverallHomeVisitor
Year 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
201851400000917-82110000065130300000312-92915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059
Total Playoff51400000917-82110000065130300000312-92915240010809315235231453616015613215.38%20575.00%0308037.50%4910248.04%306248.39%98401015812059