PuckRecord

Glenn Resch stats

GoaltenderCatches L5-8, 165 lbBorn Fri, Jul 9, 1948 · Moose Jaw, SK, CANLast team: Philadelphia Flyers

Glenn Resch is a former NHL goaltender. Across 14 seasons (1973–74 to 1986–87), Resch has 234 wins, a .891 save percentage and 26 shutouts in 569 regular-season games, plus 17 playoff wins.

Career

Regular season · goaltending

SeasonTeamGPGSWLOTLSASVGASV%GAASOTOI
1973–74NYI2211057516.8953.000120
1974–75NYI2523127070164259.9162.4831429
1975–76NYI4441241101215112788.9282.0872540
1976–77NYI46442614012411138103.9172.2842708
1977–78NYI45432810012121100112.9082.5532634
1978–79NYI4341267012351129106.9142.5022540
1979–80NYI45422316013341202132.9013.0532599
1980–81NYI3230188087978693.8943.0831814
CLR8724022820028.8773.770446
TOT4037201201107986121.8913.2132260
1981–82CLR60581631018601633227.8784.0603359
1982–83NJD64621535019031664239.8744.0003585
1983–84NJD51411031014231239184.8714.1912632
1984–85NJD51461529014091209200.8584.1702877
1985–86NJD312910200883757126.8574.2901762
PHI52220847410.8813.230186
TOT363112220967831136.8594.1901948
1986–87PHI171167043539342.9032.920864
Career14 seasons569522234233016099143441755.8913.282632095

Playoffs · goaltending

SeasonTeamGPGSWLOTLSASVGASV%GAASOTOI
1974–75NYI121284036133625.9312.171691
1975–76NYI7633019417618.9073.030356
1976–77NYI3211060555.9172.100143
1977–78NYI7734017516015.9142.340385
1978–79NYI5523014213111.9232.211299
1979–80NYI4202056459.8044.590118
1985–86PHI10000101.0008.2407
1986–87PHI2000011101.9091.96031
Career8 seasons413417170100091385.9132.5122029

Quick answers

How many wins does Glenn Resch have?
Glenn Resch has 234 regular-season wins in 569 games.
What is Glenn Resch's career save percentage?
.891 in the regular season, with 26 shutouts.
What teams has Glenn Resch played for?
NYI, CLR, NJD, PHI.

Game log · 1986–87

1986–871985–861984–851983–841982–831981–821980–811979–801978–791977–781976–771975–761974–751973–74
DateOppResultDecSASVGASV%TOI
Oct 16VANW 6–2000.0000:00
Oct 30QUEW 6–3000.0000:00
Nov 1BOSW 4–2000.0000:00
Nov 6@NJDT 5–5 OT000.0000:00
Nov 8NYRL 2–3000.0000:00
Nov 13DETW 7–5000.0000:00
Nov 14@NYRL 1–2L26242.92359:16
Nov 16WSHW 6–2000.0000:00
Nov 19@TORT 2–2 OT000.0000:00
Nov 20CHIW 5–1000.0000:00
Nov 22TORW 6–1000.0000:00
Nov 26MTLW 4–2000.0000:00
Nov 28@WSHW 4–2000.0000:00
Nov 29@NYIW 6–5000.0000:00
Dec 2STLW 7–1W27261.96360:00
Dec 4HFDL 1–2000.0000:00
Dec 6@BOSL 0–5431.75018:00
Dec 7EDMW 5–2000.0000:00
Dec 11CGYW 5–3000.0000:00
Dec 13@MNSL 4–5000.0000:00
Dec 14@WINW 4–1000.0000:00
Dec 18NYIW 9–4000.0000:00
Dec 20@PITW 6–4000.0000:00
Dec 21STLW 7–6W541.80020:00
Dec 23@BUFL 1–2000.0000:00
Dec 27@VANL 2–4000.0000:00
Dec 28@EDML 4–6000.0000:00
Dec 30@LAKL 1–4L27234.85260:00
Jan 3@WSHW 4–1000.0000:00
Jan 6NJDW 4–0000.0000:00
Jan 7@NYRW 6–3000.0000:00
Jan 10@BOSW 5–4W31292.93554:10
Jan 11WSHT 2–2 OT000.0000:00
Jan 15MTLW 6–3000.0000:00
Jan 17@NYIW 4–2W29272.93160:00
Jan 18NYIL 1–3000.0000:00
Jan 21@CHIT 5–5 OT000.0000:00
Jan 23CHIW 4–3000.0000:00
Jan 24@NJDL 3–4L27234.85259:03
Jan 28@BUFW 7–4000.0000:00
Jan 29PITW 5–3000.0000:00
Jan 31NYRL 1–3000.0000:00
Feb 2@TORL 4–8L42348.81060:00
Feb 4@WINL 3–5000.0000:00
Feb 7@NJDL 2–3000.0000:00
Feb 14@STLW 4–2000.0000:00
Feb 16CGYL 0–5000.0000:00
Feb 17@NYIW 3–2000.0000:00
Feb 19PITT 4–4 OT000.0000:00
Feb 21@LAKW 4–2000.0000:00
Feb 26@CGYL 3–4000.0000:00
Mar 1@MNSL 4–5000.0000:00
Mar 3BUFW 4–2000.0000:00
Mar 5WSHW 4–2000.0000:00
Mar 7@HFDL 3–5L111101.00029:56
Mar 8NJDW 7–3W30273.90060:00
Mar 11@NJDW 6–4000.0000:00
Mar 12NYRL 1–6L28244.85750:29
Mar 14@MTLT 3–3 OT000.0000:00
Mar 15@NYRW 5–2W39372.94960:00
Mar 17NYRW 4–1000.0000:00
Mar 19LAKL 2–59901.00020:00
Mar 21@QUET 2–2 OTT36342.94465:00
Mar 22PITW 3–1000.0000:00
Mar 24@PITT 3–3 OTT39363.92365:00
Mar 26QUEW 3–2 OT000.0000:00
Mar 28DETL 1–5000.0000:00
Apr 1@DETW 2–1000.0000:00
Apr 4@WSHOTL 2–3 OTL25223.88063:19
Apr 5NYIL 5–9000.0000:00
Apr 8NYRL 0–3000.0000:00
Apr 9NYRW 8–3000.0000:00
Apr 11@NYRW 3–0000.0000:00
Apr 12@NYRL 3–67701.00018:56
Apr 14NYRW 3–1000.0000:00
Apr 16@NYRW 5–0000.0000:00
Apr 20NYIW 4–2000.0000:00
Apr 22NYIL 1–2000.0000:00
Apr 24@NYIW 4–1000.0000:00
Apr 26@NYIW 6–4000.0000:00
Apr 28NYIL 1–2000.0000:00
Apr 30@NYIL 2–4000.0000:00
May 2NYIW 5–1000.0000:00
May 4MTLW 4–3 OT000.0000:00
May 6MTLL 2–5431.75011:43
May 8@MTLW 4–3000.0000:00
May 10@MTLW 6–3000.0000:00
May 12MTLL 2–5000.0000:00
May 14@MTLW 4–3000.0000:00
May 17@EDML 2–4000.0000:00
May 20@EDML 2–3 OT000.0000:00
May 22EDMW 5–3000.0000:00
May 24EDML 1–4000.0000:00
May 26@EDMW 4–3000.0000:00
May 28EDMW 3–2000.0000:00
May 31@EDML 1–3000.0000:00