Always chasing
7/10APOEL conceded first in 7 of their last 10 (league 47%).
APOEL vs Nea Salamis Prediction, Stats & Betting Tips
1. Division - Season 2026/2027 (Round 5)
Goal-fest alert
More goals than usual expected in APOEL vs Nea Salamis
3.0goals expected · 1. Division average 2.7
Since July 2025, games with an alert like this averaged 3.2 goals, and 62% went over 2.5.
Bookmakers: over 2.5 goals 54%
APOEL vs Nea Salamis 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.
Goal-fest alert3.0 goals expected
3.0 goals in total, a little over the 1. Division average of 2.7.
goals expected
APOEL1.7
Nea Salamis1.3Calculated 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.
Goal-fest alert: we expect at least 2.7 goals, clearly more than usual in this league (8.5% above the average). Since July 2025, these games averaged 3.2 goals, and 62% went over 2.5.
Bore draw alert: we expect 2.3 goals or fewer, clearly less than usual (11% below the average). These games averaged 2.2 goals, and 63% stayed under 2.5.
Bookmakers usually see these coming too, so use the alert to know what kind of game to expect, not as a betting edge.
How we measure →Get our AI football prediction and stats for APOEL vs Nea Salamis: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
APOEL vs Nea Salamis — 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 →Agrees with bookmakers
Our model’s pick
APOEL to win
Our model 44%Bookmakers 68%
Our track record
In 3,483 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 46.7% of the time (bookmakers said 46.9%).
Both Teams to Score →Disagrees with bookmakers
Our model’s pick
Yes, both score
Our model 56%Bookmakers 46%
Our track record
In 542 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 44.6% of the time: closer to the bookmakers’ 46.8% than to our 55–60%.
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 53%Bookmakers 54%
Our track record
In 5,011 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.0% of the time (bookmakers said 56.4%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 69%Bookmakers 68%
Our track record
In 3,819 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.2% of the time (bookmakers said 66.9%).
First Half Result →Disagrees with bookmakers
Our model’s pick
Draw at half-time
Our model 43%Bookmakers 39%
Our track record
In 2,132 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’ 37.4% than to our 40–45%.
APOEL Goals →Disagrees with bookmakers
Our model’s pick
APOEL 0–1 goals
Our model 55%Bookmakers 38%
Our track record
In 971 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 43.8% of the time: closer to the bookmakers’ 45.2% than to our 55–60%.
Nea Salamis Goals →Agrees with bookmakers
Our model’s pick
Nea Salamis 0–1 goals
Our model 68%Bookmakers 82%
Our track record
In 3,159 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.1% of the time (bookmakers said 67.8%).
Odds can still move before kick-off. The track record uses closing odds.
APOEL vs Nea Salamis — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for APOEL vs Nea Salamis. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
APOEL–
Nea Salamis–Winner
1X 71%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
APOEL–Nea Salamis–Winner
1X 71%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
Full Time
144%
X27%
229%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 24% | 76% | 47% | 53% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 59% | 41% | 82% | 18% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 24% | 76% | 55% | 45% |
| 34% | 66% | 68% | 32% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 80% | 20% | 92% | 8% |
| 88% | 12% | 96% | 4% |
1st Half
133%
X43%
224%
1st Score
151%
X7%
242%
Half Time/Full Time
1-1
25%
X-X
17%
2-2
16%
X-1
15%
X-2
10%
1-X
6%
2-X
5%
2-1
3%
1-2
2%
Correct Score
1-1
12.2%
1-0
9.4%
2-1
9.3%
0-1
7.5%
0-0
7.0%
2-0
7.0%
1-2
6.8%
2-2
6.2%
3-1
4.3%
0-2
4.1%
3-0
3.6%
3-2
3.0%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
APOEL vs Nea Salamis: 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%APOEL: always chasing
7/10Calculated 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 →APOEL vs Nea Salamis: Over 2.5 & BTTS?
1. Division
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%).
Over 2.5 goalsleague 51%
APOEL6 of 10
BTTSleague 48%
APOEL4 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 226 games played here in the last 12 months.
How we measure →APOEL vs Nea Salamis 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 gamesAPOEL: results in line with their chances
- APOELBookmakers: 68% to win today.−3.6
Last 5 matches
Nea SalamisW
L
L
D
APOELD
L
W
L
W
D
L
Strength rank: APOEL 6th of 14 · Nea Salamis 9th 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 →APOEL vs Nea Salamis corners, cards and goal times
1. Division
How to read it
league averagelast 10 in the league · corners and cards per gameGoal times close to the 1. Division average
APOEL
Nea Salamis
4.7
Corners won · league 4.5
–
4.4
Corners conceded · league 4.5
–
3.3
Cards · league 2.4
–
2.1
Opponents' cards · league 2.4
–
36%
Goals before half-time · league 44%
–
29%
Goals after 75' · league 27%
–
61%
Conceded before half-time · league 44%
–
22%
Conceded after 75' · league 27%
–
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
APOEL3/4
Nea Salamis1/4
Both Teams to Score
APOEL3/4
Nea Salamis3/4
Over/Under 2.5 Goals
APOEL4/4
Nea Salamis4/4
Over/Under 3.5 Goals
APOEL1/4
Nea Salamis2/4
First Half Result
APOEL0/4
Nea Salamis0/4
Correct Score
APOEL0/4
Nea Salamis0/4
correct predictionwrong prediction