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Friday, 28/08/2026 at 18:00

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Match report · Cypriot First Division

Enosis Neon Ypsona FC 0:3 ALS Omonia

Enosis Neon Ypsona FC Home 1.78 xG
ALS Omonia Away 0.87 xG
03 The result went against the chances

ALS Omonia were the model's likeliest winner before kick-off at 36%. They won 3–0. The biggest difference was Enosis Neon Ypsona FC's attack: 1.78 xG against 1.29 projected (+0.49). ALS Omonia produced 0.87 xG against 1.34 projected (−0.47).

The model against the result

priced before kick-off
Enosis Neon Ypsona FC
33%
Draw
31%
ALS Omonia
36% What happened

Data coverage The model has never seen one of these sides play. Every figure here rests on an exactly average stand-in for it, which is a guess in a projection's clothes.

Projected vs produced

Expected goals
Enosis Neon Ypsona FC The model projected 1.29 Produced 1.78 Difference +0.49
ALS Omonia The model projected 1.34 Produced 0.87 Difference -0.47

Enosis Neon Ypsona FC produced 0.49 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

Enosis Neon Ypsona FC ALS Omonia
Shots
16
5
On target
1
3
Inside the box
10
2
xG per shot
0.11
0.17

Recent form

Last 6 · xG per match
Enosis Neon Ypsona FC

1.52 xG created 1.92 xGA

  • W 1.22 created, 1.12 conceded against Akritas Chlorakas
  • W 1.64 created, 2.83 conceded against Ethnikos Achnas
  • D 2.53 created, 2.09 conceded against Omonia Aradippou
  • D 1.13 created, 1.84 conceded against AEL Limassol
  • L 1.47 created, 3.25 conceded against Anorthosis Famagusta
  • D 1.16 created, 0.36 conceded against Enosis Neon Paralimniou
ALS Omonia

No match with expected goals behind it yet.

xG created xG conceded (xGA) W / D / L: the match result

Model details

· 1 warning
Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Enosis Neon Ypsona FC sample
20 matches
ALS Omonia sample
0 matches
Computed
7 hours before kick-off

Warnings

  • There is not a single played match in the database for ALS Omonia — the estimate for that side is the league average and nothing else.

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.