RangersNew York Rangers
5-7-0, 10pts · 6th in Eastern Conference
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Mats ZuccarelloRangersRangers36LW/RW124711120633112712.12%321.:.0702200030047.37%1900000.8700
2Jared McCannRangersRangers18C/LW12549200233143115.15%121.:.4320200041042.31%36400000.6900
3Brady TkachukRangersRangers7LW122572180615217313.85%221.:.5201100000047.62%2100000.5300
4Drew DoughtyRangersRangers8D12347-380271681318.75%2827.:.3311200038100.00%000000.4200
5Brock FaberRangersRangers6D1206601951312890.00%2721.:.4501100041000.00%000000.4600
6Kevin FialaRangersRangers22C/LW/RW12246-280184216294.76%019.:.4301100000065.38%2600000.5100
7Morgan RiellyRangersRangers44D12246-24017207510.00%1620.:.1400000012200.00%000000.4900
8Darnell NurseRangersRangers25D12145-325534173125.88%2425.:.0211200030100.00%000000.3300
9Casey MittelstadtRangersRangers11C12325-300132462312.50%319.:.1300000000052.67%26200000.4300
10Chandler StephensonRangersRangers20C/LW/RW12235-30015348195.88%221.:.48000000280055.07%6900000.3800
11J.T. CompherRangersRangers37C/LW/RW12112-20052410174.17%112.:.03000000220049.65%14300000.2800
12Michael RasmussenRangersRangers27C/LW12112-22017238134.35%213.:.31000000440163.16%3800000.2500
13Ryan LindgrenRangersRangers55D802230086210.00%715.:.3300000019000.00%000000.3200
14Trent FredericRangersRangers82C/LW12112-24012144107.14%009.:.4600000000054.55%1100000.3400
15Radek FaksaRangersRangers12C12101020863616.67%309.:.15000000490056.25%17600000.1800
16Jesper BoqvistRangersRangers90C/LW1201100046040.00%005.:.0400000000025.00%400000.3300
17Nicolas HagueRangersRangers14D12011260202190.00%2013.:.440000004000.00%000000.1200
18Andrew PeekeRangersRangers2D5000-30042000.00%513.:.530000007000.00%000000.0000
19Kevin RooneyRangersRangers21C1100002031010.00%105.:.0400000000037.50%800000.0000
Team Total or Average216285078-15100102873671262607.63%14516:5447110003075149.96%114100000.4300
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
1Cam TalbotRangersRangers1257092.3%2.4274321303890000.0%0120201
Team Total or Average1257092.3%2.4274321303890000.0000120201
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1RangersLightning51400000914-520.200916250032311464150523157593910721314.29%13284.62%020643647.25%25751150.29%10719455.15%1197911540653233.3%6.2%91.1%97.2Unlucky
2RangersBruins743000001916380.5711934530157612216469721623286631802314.35%27196.30%020643647.25%25751150.29%10719455.15%18012216758984854.5%8.6%93.1%101.7DULL
_Vs Conference1257000002830-2100.417285078018992367105119124193891451022874449.09%40392.50%020643647.25%25751150.29%10719455.15%299202283981638047.1%7.6%92.3%99.9DULL
_Since Last GM Reset1257000002830-2100.417285078018992367105119124193891451022874449.09%40392.50%020643647.25%25751150.29%10719455.15%299202283981638047.1%7.6%92.3%99.9DULL
Total1257000002830-2100.417285078018992367105119124193891451022874449.09%40392.50%020643647.25%25751150.29%10719455.15%299202283981638047.1%7.6%92.3%99.9DULL

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 436
Neutral Zone Start 194
Defensive Zone Start 511
Puck Time
With Puck 31
Without Puck 30
Faceoffs
Faceoffs Won 570
Faceoffs Lost 571
Team Average Shots after League Average Shots after
1st Period 8.810.69
2nd Period 18.721.35
3rd Period 29.032.03
Overtime 30.632.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.71.08
2nd Period 1.42.13
3rd Period 2.22.97
Overtime 2.33.07
Even Strenght Goal 24
PP Goal 4
PK Goal 0
Empty Net Goal 0
Home Away
Win 23
Lost 34
Overtime Lost 00
PP Attempt 44
PP Goal 4
PK Attempt 40
PK Goal Against 3
Home
Shots For 30.6
Shots Against 32.4
Goals For 2.3
Goals Against 2.5
Hits 23.9
Shots Blocked 12.1
Pim 8.5