Heylen

Belgium · Hockey

Heylen — Overview

Results Breakdown

Heylen's last 4 results: 2 regulation wins, 0 overtime wins, 0 shootout wins, 2 regulation losses, 0 OT losses, 0 SO losses. Understanding win-type distribution helps evaluate how reliant a team is on extra time.

Reg Win

OT Win

SO Win

Reg Loss

OT Loss

SO Loss

Based on last 4 games

Recent Form

Heylen's last 4 matches: 2 wins, 0 draws, 2 losses. Most recent game was against Mechelen. Recent form is one of the strongest predictors of upcoming match outcomes.

@ Mechelen(Away)

11 – 32025-09-19

@ Leuven(Away)

1 – 52025-09-14

vs Mechelen(Home)

5 – 72025-09-07

@ Leuven(Away)

2 – 32025-09-06

Season Statistics (2025/2026)

Heylen have played 4 matches this season with 2 wins (50.0% win rate), scoring 4.00 goals (4.00 per game) and conceding 5.25. These splits reveal attacking strength, defensive solidity, and home/away patterns useful for match-result and over/under betting.

Played

2–2

W–L Record

50.0%

Win %

4.00 / 5.25

Avg GF / GA

0.0%

Home Win %

66.7%

Away Win %

WLWL

Last 5

Best streak

100.0%

Both Score %

75.0%

Over 5.5

Win/Loss Types

Reg Win

OT Win

SO Win

Reg Loss

OT Loss

SO Loss

Comeback Win

Shutout Win

100.0%

P1 Lead → Win

Goals by Period

Green = scored, Red = conceded

Heylen Squad

Player	#	Position	Age	Nationality
1A. Vasilyev	—	Position—	Age—	Nationality—
2B. Bogaerts	—	Position—	Age—	Nationality—
3B. Coolen	—	Position—	Age—	Nationality—
4C. Piccart	—	Position—	Age—	Nationality—
5E. Goris	—	Position—	Age—	Nationality—
6J. de Ceuster	—	Position—	Age—	Nationality—
7K. Raciborski	—	Position—	Age—	Nationality—
8M. Morgan	—	Position—	Age—	Nationality—
9Pyl Mauro	—	Position—	Age—	Nationality—
10R. Cuylen	—	Position—	Age—	Nationality—
11R. Niskanen	—	Position—	Age—	Nationality—
12S. Aben	—	Position—	Age—	Nationality—
13T. Gentry	—	Position—	Age—	Nationality—
14T. Vanspringel	—	Position—	Age—	Nationality—
15T. van Reeth	—	Position—	Age—	Nationality—
16W. Moons	—	Position—	Age—	Nationality—

Heylen's full squad of 16 players (avg. age ) organised by position. Squad depth and player availability directly affect match predictions — thin squads underperform when fixtures pile up.