Bettor’s Scouting Report · NHL

Pittsburgh Penguins at Philadelphia Flyers — Bettor’s Scouting Report

Matchup scouting, current roles, power-play opportunity and observed player markets.

Betting board / portfolios

Scouting portfolios selected by matchup and current role. Lines and prices are observed market terms, not value grades. Related targets share opportunity.

MarketSelectionLinePriceBookCaptured (UTC)
MoneylinePIT—+120BetMGM2026-09-30T23:13:40.324128+00:00
MoneylinePHI—-145BetMGM2026-09-30T23:13:40.324128+00:00
Puck linePIT+1.5-210BetMGM2026-09-30T23:13:40.324128+00:00
Puck linePHI-1.5+170BetMGM2026-09-30T23:13:40.324128+00:00
Game totalOver6-115BetMGM2026-09-30T23:13:40.324128+00:00
Game totalUnder6-105BetMGM2026-09-30T23:13:40.324128+00:00

Game scouting read

PHI allowed 19.60 5v5 SOG per game over 55 qualified games; PIT generated 21.31 over 48. This is a historical matchup comparison, not a predicted shot total.

PIT allowed 21.62 5v5 SOG per game over 48 qualified games; PHI generated 19.16 over 55. This is a historical matchup comparison, not a predicted shot total.

PHI allowed 4.20 5v5 SOG/game from the outer-perimeter origin proxy (league 4.14; 55 games), while PIT generated 3.81 from that band (league 4.15; 48 games). There is no band where both historical rates are above league; this is context, not a selected location attack. Shot origin does not prove a tactical station or tonight’s result.

Earlier PIT SOG from that 5v5 band by verified current-role players: Erik Karlsson 23, Kris Letang 16; 144 of 183 came from other or unresolved players. Current line/PP membership does not establish a fixed shot station.

PHI allowed 2.22 PP SOG/game from the middle / slot-area origin proxy (league 2.20; 54 games), while PIT generated 2.23 from that band (league 2.19; 47 games). Both historical rates are above their league references in this sample, a candidate location overlap for scouting rather than a validated weakness. Shot origin does not prove a tactical station or tonight’s result.

Earlier PIT SOG from that PP band by verified current-role players: Sidney Crosby 20, Rickard Rakell 13; 72 of 105 came from other or unresolved players. Current line/PP membership does not establish a fixed shot station.

PIT allowed 9.81 5v5 SOG/game from the middle / slot-area origin proxy (league 9.14; 48 games), while PHI generated 8.62 from that band (league 9.14; 55 games). There is no band where both historical rates are above league; this is context, not a selected location attack. Shot origin does not prove a tactical station or tonight’s result.

Earlier PHI SOG from that 5v5 band by verified current-role players: Owen Tippett 52, Travis Konecny 41; 381 of 474 came from other or unresolved players. Current line/PP membership does not establish a fixed shot station.

PIT allowed 0.83 PP SOG/game from the blue-line / point-area origin proxy (league 0.72; 47 games), while PHI generated 0.67 from that band (league 0.73; 54 games). There is no band where both historical rates are above league; this is context, not a selected location attack. Shot origin does not prove a tactical station or tonight’s result.

Earlier PHI SOG from that PP band by verified current-role players: Jamie Drysdale 9, Cam York 5; 22 of 36 came from other or unresolved players. Current line/PP membership does not establish a fixed shot station.

No player portfolio passed the matching defense, offense and verified-role checks. The historical comparisons below remain useful scouting context.

SideAttack areaMatchupBest role
PITNo clear primary attackAVOID—
PHINo clear primary attackAVOID—

Attack areas / why they are attackable

No player table is forced without a supporting attack.

Shot-origin rows use matched unblocked attempts and fixed adjusted-coordinate bands. “Slot-area” and “point-area” are location proxies, not validated tactical stations or player roles; blocked attempts have no matched origin.

MatchupStrengthRecorded shot originDefense SOG allowed/gameOffense SOG generated/gameGames D / OCurrent owners: earlier SOGUnresolved / outside
PIT vs PHI5v5Middle / slot-area origin proxy8.65 (lg 9.14)9.81 (lg 9.14)55 / 48Tommy Novak 40, Sidney Crosby 32166 excluded unblocked origins
PIT vs PHI5v5Blue-line / point-area origin proxy4.69 (lg 5.08)4.15 (lg 5.07)55 / 48Erik Karlsson 30, Kris Letang 23166 excluded unblocked origins
PIT vs PHI5v5Outer-perimeter origin proxy4.20 (lg 4.14)3.81 (lg 4.15)55 / 48Erik Karlsson 23, Kris Letang 16166 excluded unblocked origins
PIT vs PHI5v5Crease-adjacent origin proxy1.04 (lg 1.82)2.25 (lg 1.83)55 / 48Rickard Rakell 13, Sidney Crosby 11166 excluded unblocked origins
PIT vs PHIPPMiddle / slot-area origin proxy2.22 (lg 2.20)2.23 (lg 2.19)54 / 47Sidney Crosby 20, Rickard Rakell 138 excluded unblocked origins
PIT vs PHIPPBlue-line / point-area origin proxy0.72 (lg 0.72)0.62 (lg 0.73)54 / 47Erik Karlsson 17, Evgeni Malkin 48 excluded unblocked origins
PIT vs PHIPPOuter-perimeter origin proxy0.69 (lg 0.61)0.53 (lg 0.61)54 / 47Sidney Crosby 6, Erik Karlsson 38 excluded unblocked origins
PIT vs PHIPPCrease-adjacent origin proxy0.43 (lg 0.58)0.62 (lg 0.57)54 / 47Rickard Rakell 7, Sidney Crosby 78 excluded unblocked origins
PHI vs PIT5v5Middle / slot-area origin proxy9.81 (lg 9.14)8.62 (lg 9.14)48 / 55Owen Tippett 52, Travis Konecny 41124 excluded unblocked origins
PHI vs PIT5v5Blue-line / point-area origin proxy5.44 (lg 5.08)4.71 (lg 5.07)48 / 55Nick Seeler 34, Travis Sanheim 27124 excluded unblocked origins
PHI vs PIT5v5Outer-perimeter origin proxy3.92 (lg 4.14)3.20 (lg 4.15)48 / 55Owen Tippett 20, Matvei Michkov 17124 excluded unblocked origins
PHI vs PIT5v5Crease-adjacent origin proxy1.52 (lg 1.82)1.71 (lg 1.83)48 / 55Christian Dvorak 20, Noah Cates 15124 excluded unblocked origins
PHI vs PITPPMiddle / slot-area origin proxy1.98 (lg 2.20)2.09 (lg 2.19)47 / 54Owen Tippett 15, Trevor Zegras 156 excluded unblocked origins
PHI vs PITPPBlue-line / point-area origin proxy0.83 (lg 0.72)0.67 (lg 0.73)47 / 54Jamie Drysdale 9, Cam York 56 excluded unblocked origins
PHI vs PITPPOuter-perimeter origin proxy0.53 (lg 0.61)0.39 (lg 0.61)47 / 54Trevor Zegras 7, Matvei Michkov 66 excluded unblocked origins
PHI vs PITPPCrease-adjacent origin proxy0.45 (lg 0.58)0.59 (lg 0.57)47 / 54Noah Cates 6, Travis Konecny 66 excluded unblocked origins

Role / player ownership

No ordinary player target passed the matching opportunity and current-role checks. The table shows verified current players’ earlier current-team production; it is not tonight’s count forecast.

TeamPlayerObserved current rolesGPSOGGoalsAssists
PITSidney CrosbyLine 1/C, PP1431102428
PITErik KarlssonPair 1/RD, PP147100835
PITEvgeni MalkinLine 2/RW, PP230761325
PITRickard RakellLine 1/RW, PP129751015
PITKris LetangPair 3/RD, PP24672319
PITTommy NovakLine 2/C, PP14868716
PHIOwen TippettLine 1/LW, PP2541401810
PHIMatvei MichkovLine 3/RW, PP1551181323
PHITravis KonecnyLine 2/RW, PP2521121831
PHITrevor ZegrasLine 1/C, PP1541021428
PHIChristian DvorakLine 2/C53931123
PHINoah CatesLine 3/C, PP255921518

Power-play scouting

POWER-PLAY SCOUTING — Pittsburgh Penguins

In the qualified PP games, PIT received 133 official opportunities across 47 games (2.83/game) and 4.57 PP minutes/game. PHI's PK faced 159 across 54 games (2.94/game) and 5.01 PK minutes/game. PIT generated 189 PP SOG (1.42/opportunity); PHI allowed 220 (1.38/opportunity). These are prior rates, not tonight’s predicted PP count or time.

PIT generated 0.81 PP goals and 1.62 PP assists per sampled game; PHI’s PK allowed 0.54 goals and 1.04 assists. Neither side of this PP matchup combines into a clear shot, finishing or creation advantage. Current unit membership alone is not a reason to force a bet.

PP1 has the larger current-member share of team PP goals; PP1 has the larger current-member share of team PP assists. PP1: Sidney Crosby leads in goals (8); Erik Karlsson leads in assists (12). PP2: Evgeni Malkin leads in goals (3); Evgeni Malkin leads in assists (14). Erik Karlsson provides the leading blue-line assist production (12).

BETTING TAKEAWAY: No clear PIT PP advantage; avoid forcing a power-play portfolio.

Today's verified PP members supplied 22 of 38 historical PIT PP goals and 54 of 76 credited assists. The rest came from other or unresolved players; these are not historical fixed-unit totals.

Pittsburgh Penguins PP1

Current-member production share: 45% of team PP goals, 43% of team PP assists.

PlayerPP AttemptsPP SOGPP GoalsPP Assists
Sidney Crosby583589
Rickard Rakell322347
Tommy Novak14622
Egor Chinakhov9303
Erik Karlsson5622312

Pittsburgh Penguins PP2

Current-member production share: 13% of team PP goals, 28% of team PP assists.

PlayerPP AttemptsPP SOGPP GoalsPP Assists
Evgeni Malkin3722314
Hendrix Lapierre————
Ville Koivunen3212
Samuel Girard0000
Kris Letang14615

PP production shown from the 2025–26 qualified historical sample for PIT (47 games). Prior-team production is excluded.

Shares describe today’s members’ contributions, not a fixed historical unit. A dash means no qualified current-team history or unverified personnel; a recorded zero is shown as 0.

Pittsburgh Penguins — Betting read

No primary PP portfolio. The unit tables provide personnel context, not a recommendation.

POWER-PLAY SCOUTING — Philadelphia Flyers

In the qualified PP games, PHI received 147 official opportunities across 54 games (2.72/game) and 4.46 PP minutes/game. PIT's PK faced 141 across 47 games (3.00/game) and 4.92 PK minutes/game. PHI generated 207 PP SOG (1.41/opportunity); PIT allowed 179 (1.27/opportunity). These are prior rates, not tonight’s predicted PP count or time.

PHI generated 0.52 PP goals and 1.02 PP assists per sampled game; PIT’s PK allowed 0.60 goals and 1.13 assists. Neither side of this PP matchup combines into a clear shot, finishing or creation advantage. Current unit membership alone is not a reason to force a bet.

PP1 has the larger current-member share of team PP goals; PP2 has the larger current-member share of team PP assists. PP1: Trevor Zegras leads in goals (6); Trevor Zegras leads in assists (9). PP2: Owen Tippett and Noah Cates lead in goals (3); Travis Konecny leads in assists (11). Cam York provides the leading blue-line assist production (5).

BETTING TAKEAWAY: No clear PHI PP advantage; avoid forcing a power-play portfolio.

Today's verified PP members supplied 22 of 28 historical PHI PP goals and 43 of 55 credited assists. The rest came from other or unresolved players; these are not historical fixed-unit totals.

Philadelphia Flyers PP1

Current-member production share: 46% of team PP goals, 36% of team PP assists.

PlayerPP AttemptsPP SOGPP GoalsPP Assists
Trevor Zegras552869
Porter Martone7310
Tyson Foerster151120
Matvei Michkov382237
Jamie Drysdale361014

Philadelphia Flyers PP2

Current-member production share: 32% of team PP goals, 42% of team PP assists.

PlayerPP AttemptsPP SOGPP GoalsPP Assists
Owen Tippett492532
Travis Konecny4623211
Noah Cates402135
Alex Bump3100
Cam York241315

PP production shown from the 2025–26 qualified historical sample for PHI (54 games). Prior-team production is excluded.

Shares describe today’s members’ contributions, not a fixed historical unit. A dash means no qualified current-team history or unverified personnel; a recorded zero is shown as 0.

Philadelphia Flyers — Betting read

No primary PP portfolio. The unit tables provide personnel context, not a recommendation.

Goal / assist / SOG expressions

No player-market expression is prioritized.

Goalie / save read

Neither offense’s shot production and opposing defense’s allowance combine into a clear save-volume advantage.

Scouting read: Monitor saves once the starter is confirmed; no goalie target is selected here.

Arturs Silovs faced 992 SOG in 38 observed appearances (26.1/appearance); 880 were saves and 112 were goals. This describes prior workload across listed teams, including relief appearances, while PHI provides the opposing shot environment. It is not a goalie saves prediction.

Dan Vladar faced 1283 SOG in 52 observed appearances (24.7/appearance); 1162 were saves and 121 were goals. This describes prior workload across listed teams, including relief appearances, while PIT provides the opposing shot environment. It is not a goalie saves prediction.

GoalieStatusWorkload readBet
Arturs SilovsCONFIRMEDNo clear volume overlapNo save play
Dan VladarCONFIRMEDNo clear volume overlapNo save play
TeamObserved starterStatusEarlier GPSOG faced/GPSave rateGoals allowed/GP
PITArturs SilovsConfirmed3826.10.8872.9
PHIDan VladarConfirmed5224.70.9062.3

Avoid / wait

PIT — No clear primary attack. The offense does not overlap a defensive weakness strongly enough to build a primary portfolio.

PHI — No clear primary attack. The offense does not overlap a defensive weakness strongly enough to build a primary portfolio.

Supporting numbers

These are prior regular-season rates on each displayed qualified cohort. ATTACK means both historical rates exceed their league medians; it is not a bet or tonight’s forecast.

MatchupMeasureDefense allows/gameOffense generates/gameGames D / ORead
PIT vs PHI5v5 SOG19.6021.3155 / 48offense elevated / defense suppressive
PIT vs PHID SOG6.936.8355 / 48NO CLEAR ATTACK
PIT vs PHIF SOG18.8920.7955 / 48offense elevated / defense suppressive
PIT vs PHIGoals2.783.5455 / 48offense elevated / defense suppressive
PIT vs PHICredited assists4.826.0255 / 48offense elevated / defense suppressive
PHI vs PIT5v5 SOG21.6219.1648 / 55offense low / defense permissive
PHI vs PITD SOG7.406.1848 / 55NO CLEAR ATTACK
PHI vs PITF SOG20.3319.1648 / 55offense low / defense permissive
PHI vs PITGoals3.352.8748 / 55offense low / defense permissive
PHI vs PITCredited assists5.584.9348 / 55offense low / defense permissive