Manchester Storm Stats
2022-23 EIHL · 54 games played
Skater Statistics
| # | Player | Pos | GP | G | A | PTS | +/- | PIM | PPG | SHG | GWG | SOG |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | Anthony DeLuca | FW | 46 | 29 | 24 | 53 | -13 | 40 | 13 | 0 | 6 | 238 |
| 25 | Scott Simmonds | CE | 54 | 16 | 34 | 50 | -10 | 78 | 5 | 2 | 1 | 116 |
| 89 | Jesper Ohrvall | FW | 31 | 18 | 23 | 41 | -2 | 20 | 7 | 0 | 2 | 119 |
| 12 | Stephen Johnson | FW | 50 | 15 | 26 | 41 | -13 | 55 | 2 | 0 | 0 | 120 |
| 18 | Ryan Barrow | FW | 30 | 12 | 20 | 32 | -8 | 14 | 5 | 0 | 1 | 73 |
| 11 | Cameron Critchlow | LW | 51 | 12 | 19 | 31 | -9 | 28 | 1 | 1 | 5 | 134 |
| 81 | Cole Carter | FW | 50 | 8 | 22 | 30 | -16 | 14 | 1 | 0 | 1 | 112 |
| 10 | Dallas Ehrhardt | LD | 53 | 9 | 17 | 26 | -20 | 18 | 5 | 0 | 0 | 105 |
| 54 | Zac Herrmann | DE | 48 | 5 | 21 | 26 | -21 | 12 | 3 | 0 | 1 | 115 |
| 16 | Tyson Fawcett | CE | 51 | 11 | 11 | 22 | -27 | 79 | 3 | 2 | 2 | 97 |
| 7 | Kevin Ekman-Larsson | DE | 54 | 0 | 21 | 21 | -9 | 25 | 0 | 0 | 0 | 70 |
| 26 | Jake Bricknell | FW | 44 | 6 | 11 | 17 | -20 | 71 | 0 | 0 | 0 | 72 |
| 86 | Liam Blackburn | LW | 21 | 4 | 10 | 14 | +2 | 10 | 2 | 0 | 0 | 39 |
| 8 | Tyler Barrow | FW | 21 | 7 | 5 | 12 | -13 | 22 | 2 | 0 | 0 | 43 |
| 13 | Joseph Hazeldine | DE | 46 | 1 | 11 | 12 | -10 | 14 | 0 | 0 | 0 | 63 |
| 6 | Chase Harrison | DE | 43 | 2 | 8 | 10 | -6 | 20 | 0 | 1 | 0 | 34 |
| 20 | Michael Korol | FW | 50 | 5 | 3 | 8 | -5 | 23 | 0 | 0 | 2 | 28 |
| 21 | Zach Sullivan | RD | 47 | 0 | 6 | 6 | -9 | 41 | 0 | 0 | 0 | 31 |
| 24 | Jonathan Desbiens | FW | 18 | 2 | 3 | 5 | -11 | 4 | 1 | 0 | 1 | 15 |
| 14 | Chays Ruddy | DE | 13 | 0 | 3 | 3 | -8 | 16 | 0 | 0 | 0 | 10 |
| 17 | Finlay Ulrick | FW | 46 | 1 | 2 | 3 | -17 | 20 | 0 | 0 | 0 | 42 |
| 19 | Jordy Stallard | FW | 5 | 0 | 1 | 1 | -4 | 2 | 0 | 0 | 0 | 5 |
| 96 | Ben Solder | DE | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 73 | Jacob Lutwyche | FW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Goaltending
36
GP
16-20
W-L
1
Shutouts
91.68%
SV%
3.33
GAA
1289
Saves
EIHL Top 10 Scorers
| # | Player | Team | GP | G | A | PTS |
|---|---|---|---|---|---|---|
| 1 | Scott Conway | BEL | 51 | 40 | 51 | 91 |
| 2 | Daniel Tedesco | GUI | 53 | 31 | 49 | 80 |
| 3 | David Goodwin | BEL | 53 | 15 | 55 | 70 |
| 4 | Brett Ferguson | GUI | 53 | 22 | 45 | 67 |
| 5 | Trevor Cox | CAR | 53 | 16 | 50 | 66 |
| 6 | Cole Sanford | CAR | 52 | 38 | 27 | 65 |
| 7 | Ryan Tait | GUI | 54 | 28 | 34 | 62 |
| 8 | Philippe Sanche | DUN | 49 | 24 | 36 | 60 |
| 9 | Marcus Crawford | CAR | 54 | 9 | 48 | 57 |
| 10 | Joey Martin | CAR | 53 | 22 | 34 | 56 |
Performance Trends
How has form changed across the season? Rolling 5-game averages reveal the arc.
| Month | GP | W | L | OTL | PTS | PTS/GP | GF | GA | GF/G | GA/G | Trend |
|---|---|---|---|---|---|---|---|---|---|---|---|
| September | 5 | 2 | 2 | 1 | 5 | 1.00 | 19 | 23 | 3.80 | 4.60 | Mixed |
| October | 6 | 2 | 4 | 0 | 4 | 0.67 | 19 | 23 | 3.17 | 3.83 | Slipping |
| November | 5 | 1 | 4 | 0 | 2 | 0.40 | 9 | 19 | 1.80 | 3.80 | Struggling |
| December | 11 | 5 | 4 | 2 | 12 | 1.09 | 37 | 43 | 3.36 | 3.91 | Mixed |
| January | 9 | 3 | 5 | 1 | 7 | 0.78 | 28 | 36 | 3.11 | 4.00 | Slipping |
| February | 8 | 5 | 3 | 0 | 10 | 1.25 | 27 | 19 | 3.38 | 2.38 | Solid |
| March | 9 | 3 | 6 | 0 | 6 | 0.67 | 20 | 37 | 2.22 | 4.11 | Slipping |
| April | 1 | 1 | 0 | 0 | 2 | 2.00 | 4 | 3 | 4.00 | 3.00 | Peak form |
Best Stretch โ Games 40โ44 (Feb 18 โ Feb 26)
5W-0L-0OTL across 5 games.
Outscored opponents 23โ10
(4.6 GF/G, 2.0 GA/G).
2.00 pts/game.
Current Form โ Games 49โ54 (Mar 18 โ Apr 1)
3W-3L-0OTL across last 6 games.
GF: 3.0/game, GA: 3.8/game.
1.00 pts/game.
Lost to COV, BEL, NOT.
Scoring & Situational Analysis
Period-by-period scoring (54 games with period data)
1st Period
34
GF
62
GA
-28
Net
0.63 GF/G · 1.15 GA/G
2nd Period
65
GF
67
GA
-2
Net
1.20 GF/G · 1.24 GA/G
3rd Period
62
GF
70
GA
-8
Net
1.15 GF/G · 1.30 GA/G
Streaks & Momentum
1 W
Current Streak
5
Longest Win Streak
6
Longest Winless
39%
Bounce-Back Rate
Game Closeness Breakdown
Close = 1-goal games, OT/SO, or 2-goal games where the score was within 1 after the 2nd period (likely empty net).
| Category | GP | W | L | OTL | Win% | PTS |
|---|---|---|---|---|---|---|
| Close Games | 25 | 13 | 8 | 4 | 52% | 30 |
| Comfortable (2-3 goals) | 16 | 3 | 13 | 0 | 19% | 6 |
| Blowouts (4+) | 13 | 6 | 7 | 0 | 46% | 12 |
Special Teams
Powerplay & penalty kill performance across 54 games with data.
20.9%
Powerplay %
46/220
5th of 10
79.0%
Penalty Kill %
162/205
7th of 10
4.1
PP Opp / Game
1st of 10
12.3
PIM / Game
9th of 10
Team Records
Manchester Storm's best and worst seasons across all years.
Power Play %
Best
21.2%
2025-26
Worst
15.9%
2023-24
2022-23
20.9%
Penalty Kill %
Best
82.4%
2025-26
Worst
74.9%
2021-22
2022-23
79.0%
Win %
Best
50.0%
2023-24
Worst
33.3%
2021-22
2022-23
40.7%
Goals For / Game
Best
3.11
2024-25
Worst
2.63
2023-24
2022-23
3.02
Goals Against / Game
Best
2.85
2023-24
Worst
3.89
2021-22
2022-23
3.76
PIM / Game
Best
8.8
2023-24
Worst
12.5
2021-22
2022-23
12.3
Goal Differential
Best
+4
2025-26
Worst
-60
2021-22
2022-23
-40