Edgehalla
Philip Tomasino headshotPittsburgh Penguins logo

Pittsburgh Penguins

Philip Tomasino

#53Center25 years oldShoots R6'0"190 lb

2025-26 regular season
9
GP
0
G
1
A
1
P
9
SOG
0.0% SH
12:10
TOI/GP

C · PIT · NHL id 8481577

Philip Tomasino has played 9 games for the Pittsburgh Penguins in 2025-26, scoring 0 goals and 1 assist (1 points) on 9 shots while averaging 12:10 a night (11:49 at even strength, 0:15 on the power play and 0:00 shorthanded). At 5v5 he has skated 55% of his 5v5 minutes with Tommy Novak and 39% with Kris Letang over the last 9 games, and the Penguins have controlled 45% of shot attempts with Tomasino on the ice (1-3 in goals, 62% offensive-zone starts). In the Penguins' most recent game against NSH he was on L3 with Tommy Novak and Ben Kindel and off the power play; moved up to L3 (from L4) in the last game. He is shooting 0.0% this season against 10.0% across the 221 games in our data.

Right now

From the Nov 16 game vs NSH, detected from shift data

Line
L3
Tommy NovakBen Kindel
Power play
No PP unit
Penalty kill
No PK unit
Moved up to L3 (from L4) in the last gameLast 5: L2 · L3 · L4/PP2 · L4 · L3

Deployment timeline

2025-26 · per-game ice time by strength, with line and power-play unit changes

Usage: 9 games, 12:04 average time on ice, PP1 in 0 games, 4 line changes.

PPLine334▲423▼4▲43▲0m3m7m10m13m17mOct 7Oct 11Oct 16Oct 21Oct 25Oct 28Nov 1Nov 6Nov 9Nov 16
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
9 games shown, 12:04 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

2024-25 percentiles among skaters at his position

Source: NHL EDGE

Only 9 GP in 2025-26; showing 2024-25 NHL EDGE data.

Top speed36th3621.9 mph
Bursts 20+ mph47th4856
Hardest shot36th3683.6 mph
Offensive-zone time87th8745.0%
Distance skated47th48132.4 mi
High-danger SOG61st6237
Percentile among position peers│ tick = 3-season weighted

Season-level NHL EDGE puck and player tracking, refreshed nightly. The percentile is the league rank among skaters this season; the label at the right is the raw value.

Shot map

2025-26 · 21 attempts, 9 on goal, 0 goals

Shot map, OPP at PIT: 21 attempts, 9 on goal, 0 goals, 1.17 expected goals; best chance Philip Tomasino at 0.14 xG.

  • Even strength
  • Power play
  • Penalty kill
  • Goal
  • Shot on goal
  • Missed
  • Blocked
Every attempt (goals, shots, misses and blocks), attacking toward the right (or the top on phones).

Luck

2025-26 · 9 GP · 1 points vs 2.3 expected

Luck Meter →
Hold

0.0%
97.1
50.0%
G vs xG
0 / 1.1
  • • Only 9 games: treat the meter as a hint.
Goals against expected goals
00.511.52-1.1goals below expected-1.0σ10/711/16
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Player analytics

Compare with another player →

2025-26 regular season. Rank is among all qualified players; the bar is his percentile among forwards. Each stat links to its explainer.

Fantasy box score

Possession & shot quality (5-on-5 on-ice)

Transition, turnovers & faceoffs

Usage

Special teams & discipline

Luck & trend

NHL EDGE tracking

Unranked rows are below the sample minimum (20 GP, 200 five-on-five minutes, 100 draws or 10 goalie games).

Beyond the box score

2024-25 regular season · 59 of 61 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.013
Season net
−0.16xG

5-on-5. Each takeaway is credited, and each giveaway charged, at the league xG value of the zone.

MethodLeaders
Per 100 draws
−0.185
Season
−0.03G
29.4%17 draws

Wins by zone: OZ 3-5 · NZ 1-4 · DZ 1-3

MethodLeaders
Per 60
0.86
Attempts
10
0.024

5-on-5 shots within 10 seconds of winning the puck outside the offensive zone.

MethodLeaders
Season
+0.94G
Per 60
+0.071
Drawn / taken
9 / 4minors

MethodLeaders
46.9%
51.5%
46.7%
Transition CF/60
3.5
Turnovers won/60
22.9
Turnovers lost/60
23.9

5-on-5 while he is on the ice.

MethodLeaders
  • More of his shots than the league
  • Fewer
104 shots on goal, 11 goals, all situations
AreaHis shareLeagueG
Low Slot28%21%7
R Net Side9%3%0
L Point1%6%0
Center Point4%8%0
R Point3%6%0
Outside L2%5%0
L Net Side6%3%1

Role changes

Notable promotions, demotions and ice-time swings from Line Watch

All alerts →

How the goals happened

17 goals since 2023-24 with NHL EDGE tracking: press Replay to watch the tracking animation

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 17, 2025 vs WSHOdd-man rushcarry144.23-on-1
Mar 15, 2025 vs NJDForecheck turnover—044.3—
Feb 27, 2025 vs PHIForecheck turnover—012.1—
Feb 25, 2025 @ PHIRushloose023.5—
Feb 7, 2025 @ NYRForecheck turnover—149.5—
Feb 1, 2025 vs NSHForecheck turnovercarry4*56.9one-timer
Jan 14, 2025 vs SEACycle—3*24.1—
Dec 23, 2024 vs PHIDeflection—119.4—
Dec 6, 2024 @ NYRRushcarry1*62.0—
Nov 30, 2024 vs CGYRebound—048.4one-timer, rebound
Nov 29, 2024 @ BOSForecheck turnover—130.9—
Jan 29, 2024 @ OTTOdd-man rushcarry042.52-on-0
Jan 9, 2024 vs ANACycle—353.0one-timer
Dec 21, 2023 @ PHIOdd-man rushcarry154.13-on-2
Dec 21, 2023 @ PHIOdd-man rushloose017.63-on-1
Dec 16, 2023 vs WSHOdd-man rushcarry1*21.61-on-0
Nov 9, 2023 @ WPGDeflectionloose339.8deflection

* includes a royal-road (cross-slot) pass. Derived from NHL EDGE puck and player tracking.

Linemates

2025-26 · 5v5 time together and how each pairing performs with and without Tomasino

TeammatePosGPShareCF% togetherGF% togetherCF% Tomasino apartCF% mate apart
Tommy NovakC858:4355%45.7%0% (0-1)50.7% 37:0049.3% 39:35
Kris LetangD941:1939%43.7%0% (0-2)46.8% 65:0145.5% 127:37
Ryan SheaD936:2934%47.3%0% (0-1)44.3% 69:5146.4% 123:27
Erik KarlssonD935:4834%44.4%50% (1-1)45.9% 70:3255.1% 127:47
Ben KindelC434:3833%43.5%0% (0-1)74.2% 16:3861.4% 21:46
Parker WotherspoonD930:5229%51.1%50% (1-1)43.7% 75:2857.5% 126:08
Anthony ManthaRW627:1926%49.2%0% (0-1)46.3% 46:3556.1% 54:17
Ville KoivunenRW318:2617%38.7%— (0-0)73.1% 14:0752.6% 17:49
Harrison BrunickeD417:4717%42.4%— (0-0)55.0% 34:0352.7% 42:10
Filip HallanderC217:2716%34.5%— (0-0)0.0% 3:1362.5% 4:50
Connor CliftonD415:0714%46.4%0% (0-1)43.9% 28:4648.4% 49:00
Evgeni MalkinC213:1512%60.0%— (0-0)54.8% 14:2858.3% 17:17
Ryan GravesD310:4610%35.7%— (0-0)55.3% 20:3041.2% 38:29
Caleb JonesD210:2410%50.0%— (0-0)31.6% 13:4334.2% 20:33

Linemate and opposition quality

2025-26 · 5v5 · 106 min on ice · ranked against 510 forwards

51.4%

teammates' average xGF%

76th percentile · higher = stronger linemates

28.5%

opponents' average ice-time share

33rd percentile · higher = faces more top-line minutes

Favourable spot: strong linemates against weaker opponents.

QoT averages the season xGF% of Tomasino's 5v5 teammates; QoC averages how much of their team's ice time Tomasino's opponents get, so a high QoC means facing top lines. Both are weighted by time shared on the ice, lean on last season for small samples, and are ranked within forwards or defence.

Game log

9 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Nov 16vs NSHW 4-000000010—11:3911:39——
Nov 14@ NSHOTL 1-200000010—10:3710:37——
Nov 6vs WSHW 5-3000-11010—9:499:000:49—
Nov 3@ TORL 3-4011+1101050%13:3512:56——
Nov 1@ WPGL 2-5000020210%15:2514:470:17—
Oct 25vs CBJOTL 4-500001021100%10:2610:100:16—
Oct 16@ LAKW 4-2000-10031—11:2110:300:51—
Oct 14@ ANAL 3-4000-12004—13:0413:04——
Oct 7@ NYRW 3-000002000—13:3713:37——

Season splits by strength

2025-26 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations9109:3312:109410746.8%45.4%34502340%3.64.659%
Even strength9106:2011:498910745.4%43.7%32501325%3.34.662%
5v59106:2011:498910745.4%43.7%32501325%3.34.662%
Power play42:130:3330100.0%100.0%2010100%0.20.00%
5v442:130:3330100.0%100.0%2010100%0.20.00%

Career by season

Seasons in Edgehalla's data (2025-26 is being backfilled; earlier seasons follow)

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26PIT9011-2090.0%11712:10
2024-25PIT, NSH61111324-10810410.6%632313:04
2023-24NSH4171320-6256211.3%131812:34
2022-23NSH3151318+56549.3%281615:36
2021-22PlayoffsNSH3000-2120—3310:28
2021-22NSH76112132+2101119.9%492811:32

On-ice and deployment numbers are derived by Edgehalla from NHL play-by-play and shift data. Tracking percentiles are from NHL EDGE. Data updates after every game.