Slow starters
2/10Omonia Aradippou scored first in only 2 of their last 10 (league 47%).
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Omonia Aradippou vs APOEL Prediction, Stats & Betting Tips
1. Division - Season 2026/2027 (Round 8)
Slow starters
Omonia Aradippou scored first in only 2 of their last 10 (league 47%).
2/10Scored first · Omonia Aradippou
Bookmakers: Omonia Aradippou 14% to winAPOEL 64%
Omonia Aradippou vs APOEL score prediction
1. Division
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Evenly matched in front of goal
2.6 goals in total, a little under the 1. Division average of 2.7.
goals expected
Omonia Aradippou1.3
APOEL1.3Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for Omonia Aradippou vs APOEL: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Omonia Aradippou vs APOEL — Our Model vs the Bookmakers
Market check · 1. Division
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Disagrees with bookmakers
Our model’s pick
Omonia Aradippou to win
Our model 38%Bookmakers 14%
Our track record
In 1,516 matches over the last 12 months where our model gave the same pick a 35–40% chance but the bookmakers favoured a different outcome, it came true 28.5% of the time: closer to the bookmakers’ 29.5% than to our 35–40%.
Both Teams to Score →Disagrees with bookmakers
Our model’s pick
Yes, both score
Our model 56%Bookmakers 46%
Our track record
In 535 matches over the last 12 months where our model gave the same pick a 55–60% chance but the bookmakers favoured a different outcome, it came true 45.0% of the time: closer to the bookmakers’ 46.7% than to our 55–60%.
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 51%Bookmakers 51%
Our track record
In 5,142 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.2% of the time (bookmakers said 56.5%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 72%Bookmakers 72%
Our track record
In 4,538 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 72.2% of the time (bookmakers said 71.5%).
First Half Result →Disagrees with bookmakers
Our model’s pick
Draw at half-time
Our model 43%Bookmakers 41%
Our track record
In 2,250 matches over the last 12 months where our model gave the same pick a 40–45% chance but the bookmakers favoured a different outcome, it came true 36.7% of the time: closer to the bookmakers’ 37.3% than to our 40–45%.
Omonia Aradippou Goals →Agrees with bookmakers
Our model’s pick
Omonia Aradippou 0–1 goals
Our model 61%Bookmakers 82%
Our track record
In 3,455 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 64.0% of the time (bookmakers said 64.0%).
APOEL Goals →Disagrees with bookmakers
Our model’s pick
APOEL 0–1 goals
Our model 64%Bookmakers 44%
Our track record
In 366 matches over the last 12 months where our model gave the same pick a 60–65% chance but the bookmakers favoured a different outcome, it came true 44.0% of the time: closer to the bookmakers’ 45.8% than to our 60–65%.
Odds can still move before kick-off. The track record uses closing odds.
Omonia Aradippou vs APOEL — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Omonia Aradippou vs APOEL. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Omonia Aradippou–
APOEL–Winner
12 73%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Omonia Aradippou–APOEL–Winner
12 73%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Full Time
138%
X27%
235%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 25% | 75% | 50% | 50% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 62% | 38% | 85% | 15% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 28% | 72% | 61% | 39% |
| 30% | 70% | 64% | 36% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 85% | 15% | 95% | 5% |
| 86% | 14% | 96% | 4% |
1st Half
131%
X43%
227%
1st Score
148%
X7%
244%
Half Time/Full Time
1-1
22%
2-2
18%
X-X
16%
X-1
14%
X-2
12%
1-X
6%
2-X
6%
1-2
2%
2-1
2%
Correct Score
1-1
12.5%
1-0
9.3%
2-1
9.0%
0-1
8.8%
1-2
8.2%
0-0
7.2%
2-0
6.3%
2-2
5.8%
0-2
5.5%
3-1
3.8%
1-3
3.4%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Omonia Aradippou vs APOEL: the stats that stand out
1. Division
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Omonia Aradippou: slow starters and leaky
2/10Leaky
1/10Omonia Aradippou kept only 1 clean sheet in their last 10 (league 29%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →Omonia Aradippou vs APOEL: attack vs defence
1. Division
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other 1. Division teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Omonia Aradippou: weak attack, weak defence (1.26 xG, 1.39 xGA a game)
- APOEL: weak attack, weak defence (1.24 xG, 1.36 xGA)
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Omonia Aradippou vs APOEL form and luck check
1. Division
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 1. Division gamesBoth results in line with their chances
- Omonia AradippouBookmakers: 14% to win today. · 8 of 10 games+1.4
- APOELBookmakers: 64% to win today. · 9 of 10 games−3.6
Last 5 matches
APOELW
D
W
D
L
Omonia AradippouL
L
L
D
D
W
D
L
Strength rank: Omonia Aradippou 9th of 14 · APOEL 6th of 14
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
Strength rank: we rank this season's 14 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →Omonia Aradippou vs APOEL: Over 2.5 & BTTS?
1. Division
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 1. Division gamesBTTS = both teams scoredAPOEL games go over 2.5 goals more often than the 1. Division average (51%), Omonia Aradippou games less often.
Over 2.5 goalsleague 51%
Omonia Aradippou4 of 10
APOEL7 of 10
BTTSleague 49%
Omonia Aradippou6 of 10
APOEL5 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 235 games played here in the last 12 months.
How we measure →Omonia Aradippou vs APOEL corners, cards and goal times
1. Division
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per game- Corners won: league 4.5
- Cards: league 2.4
- Goals before half-time: league 44%
- Goals after 75': league 26%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
APOEL3/5
Omonia Aradippou2/5
Both Teams to Score
APOEL4/5
Omonia Aradippou2/5
Over/Under 2.5 Goals
APOEL4/5
Omonia Aradippou2/5
Over/Under 3.5 Goals
APOEL3/5
Omonia Aradippou5/5
First Half Result
APOEL2/5
Omonia Aradippou2/5
Correct Score
APOEL0/5
Omonia Aradippou2/5
correct predictionwrong prediction