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Jonathan Castagna headshotCalgary Flames logo

Calgary Flames

Jonathan Castagna

#38CenterShoots L6'1"181 lb

2026-27 so far
2
GP
0
G
1
A
1
P
1
SOG
0.0% SH
9:30
TOI/GP

C · CGY · NHL id 8484154

Fantasy outlook

+3.2 in 2 days
ActiveNot on the injury report
This weekAll teams

2 games · 0 left

  1. Mo
  2. Tu
  3. We
  4. ThCOL
  5. Fr
  6. SaANA
  7. Su
Projection today

No game today. Next: Tue Oct 13.

Projection this weekFlames this week
G
0.30
A
0.40
PTS
0.70
SOG
2.0
HIT
1.6
BLK
0.7
PPP
0.00

Jonathan Castagna has played 2 games for the Calgary Flames in 2026-27, scoring 0 goals and 1 assist (1 points) on 1 shots while averaging 9:30 a night. At 5v5 he has skated 84% of his 5v5 minutes with Adam Klapka and 40% with Yan Kuznetsov over the last 2 games, and the Flames have controlled 48% of shot attempts with Castagna on the ice (1-2 in goals, 45% offensive-zone starts). In the Flames' most recent game against ANA he was on L4 with Adam Klapka and Maxim Tsyplakov and off the power play.

Right now

From the Oct 10 game vs ANA, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Last 2: L4 · L4

Deployment timeline

2026-27 · per-game ice time by strength, with line and power-play unit changes

Usage: 2 games, 9:30 average time on ice, PP1 in 0 games, 0 line changes.

PPLine440m3m7m10mOct 8Oct 10
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
2 games shown, 9:30 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

2026-27 percentiles among skaters at his position

Source: NHL EDGE

Only 1 GP in 2026-27: NHL EDGE percentiles are noisy before about 15-20 games.

Top speed6th619.9 mph
Bursts 20+ mph1st00
Offensive-zone time26th2639.0%
Distance skated1st21.5 mi
High-danger SOG21st210
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

2026-27 · 5 attempts, 1 on goal, 0 goals

Shot map, OPP at CGY: 5 attempts, 1 on goal, 0 goals, 0.17 expected goals; best chance Jonathan Castagna at 0.07 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).

Puck luck

2026-27 · cumulative goals against expected goals from his own shots

00.20.40.60.81-0.2goals below expected-0.4σOct 8Oct 10
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Shots on goal projection

No game projected yet. Tonight's shots on goal projections →

Last 1 projected games: 1.0 expected, 1 actual; Castagna beat the projection 0 times.

Recent games: projected and actual shots on goal
GameExpected3+ chanceActual
Oct 10 vs ANA1.049%1

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

  • Jonathan Castagna is an NHL rookie: this is his first season.
  • 2026-27 so far: 2 GP, 0 G, 1 A, 0 PPP, 1 SOG.

Fantasy box score

Special teams & discipline

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

Beyond the box score

2026-27 regular season · 2 of 2 games through the sequence engine

MethodLeaders
−0.165
Season net
−0.05xG

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

MethodLeaders
Per 100 draws
+0.082
Season
+0.01G
58.8%17 draws

Wins by zone: OZ 2-0 · NZ 3-2 · DZ 5-5

MethodLeaders
Per 60
0.00
Attempts
0
0.000

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

MethodLeaders
Season
+0.00G
Per 60
+0.000
Drawn / taken
1 / 1minors

MethodLeaders
53.8%
100.0%
53.8%
Transition CF/60
3.2
Turnovers won/60
18.9
Turnovers lost/60
25.3

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

Linemates

2026-27 · 5v5 time together and how each pairing performs with and without Castagna

TeammatePosGPShareCF% togetherGF% togetherCF% Castagna apartCF% mate apart
Adam KlapkaRW215:5284%46.2%33% (1-2)66.7% 3:0860.0% 5:20
Yan KuznetsovD27:4140%43.8%0% (0-1)50.0% 11:1952.9% 25:53
Maxim TsyplakovRW17:2639%71.4%— (0-0)75.0% 2:25100.0% 1:13
Aydar SunievLW17:0737%29.2%33% (1-2)— 2:0245.5% 4:34
Simon NemecD26:3735%45.0%0% (0-1)50.0% 12:2361.8% 30:19
Zayne ParekhD26:1333%30.8%50% (1-1)55.2% 12:4728.3% 26:18
Jake MiddletonD25:5531%28.6%50% (1-1)57.1% 13:0530.9% 23:44
Kevin BahlD25:5131%69.2%— (0-0)37.9% 13:0967.6% 31:53
Zach WhitecloudD25:4730%87.5%— (0-0)38.2% 13:1359.0% 26:55
Samuel HonzekLW11:298%—— (0-0)29.2% 7:4022.7% 11:46
Yegor SharangovichC11:227%50.0%— (0-0)75.0% 8:2954.8% 15:25
Matt CoronatoRW11:157%100.0%— (0-0)68.8% 8:3636.7% 13:55

Usage by score state

2026-27, 2 games.

Leading
9.5
min per 60
Tied
9.4
min per 60
Trailing
9.6
min per 60

Castagna's ice time barely changes with the score. Power play: 0.0 min per 60 trailing, against 0.0 leading.

Garbage time: 0 of 1 points (0%) came with the team up or down 3+. League garbage-time table

Next game at ANA (2026-10-13): team win probability ≈40%, projected 9:36 TOI. Game-script forecast

Game log

2 games in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 10vs ANAL 2-40000121064%9:519:51——
Oct 8vs COLL 3-7011-1003150%9:099:09——

Season splits by strength

2026-27 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations219:009:30202247.6%40.7%391233%0.60.645%
Even strength219:009:30202247.6%40.7%391233%0.60.645%
5v5219:009:30202247.6%40.7%391233%0.60.645%

Career by season

Regular season and playoffs since 2026-27. Seasons link to the team's stats that year; column headers open the league leaderboards.

SeasonTeamGPGAP+/-PIMSOGPPPSHPGWGHITBLKTKGVFOWFO%TOI/GP
2026-27CGY2011-1210.0%00041031058.8%9:30
  • Completed seasons use the NHL's official power-play and shorthanded totals.
  • Recording changed in 2024-25: giveaways roughly doubled and takeaways fell by a third, so compare within a season.

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.